From bf66822b407c76b9e5c82a68938c2c46eb38812c Mon Sep 17 00:00:00 2001 From: timgl Date: Wed, 4 Sep 2024 16:56:40 +0100 Subject: [PATCH 01/66] feat: Add bulk deletion endpoint --- posthog/api/person.py | 67 +++++++++++++++++++++++++++ posthog/api/test/test_person.py | 81 +++++++++++++++++++++++++++++++++ 2 files changed, 148 insertions(+) diff --git a/posthog/api/person.py b/posthog/api/person.py index b623d6a39bc66..8ed257cbea66f 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -359,6 +359,9 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. ], ) def destroy(self, request: request.Request, pk=None, **kwargs): + """ + Use this endpoint to delete individual persons. If you wnat to bulk delete, use the bulk_delete endpoint. + """ try: person = self.get_object() person_id = person.id @@ -391,6 +394,70 @@ def destroy(self, request: request.Request, pk=None, **kwargs): except Person.DoesNotExist: raise NotFound(detail="Person not found.") + @extend_schema( + parameters=[ + OpenApiParameter( + "delete_events", + OpenApiTypes.BOOL, + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + default=False, + ), + OpenApiParameter( + "distinct_ids", + OpenApiTypes.OBJECT, + description="A list of distinct ids. We'll delete all persons associated with those distinct ids. The maximum amount of ids you can pass in one call is 100.", + ), + OpenApiParameter( + "ids", + OpenApiTypes.OBJECT, + description="A list of PostHog person ids. We'll automatically fetch all related persons and delete those. The maximum amount of ids you can pass in one call is 100.", + ), + ], + ) + @action(methods=["POST"], detail=False, required_scopes=["person:write"]) + def bulk_delete(self, request: request.Request, pk=None, **kwargs): + """ + This endpoint allows you to bulk delete persons, either by the PostHog persons ID or by distinct IDs. You can pass through a maximum of 100 ids per call. + """ + if request.data.get("distinct_ids"): + if len(request.data["distinct_ids"]) > 100: + raise ValidationError("You can only pass 100 distinct_ids in one call") + persons = self.get_queryset().filter(persondistinctid__distinct_id__in=request.data.get("distinct_ids")) + elif request.data.get("ids"): + if len(request.data["ids"]) > 100: + raise ValidationError("You can only pass 100 ids in one call") + persons = self.get_queryset().filter(uuid__in=request.data["ids"]) + else: + raise ValidationError("You need to specify either distinct_ids or ids") + + for person in persons: + delete_person(person=person) + self.perform_destroy(person) + log_activity( + organization_id=self.organization.id, + team_id=self.team_id, + user=cast(User, request.user), + was_impersonated=is_impersonated_session(request), + item_id=person.id, + scope="Person", + activity="deleted", + detail=Detail(name=str(person.uuid)), + ) + # Once the person is deleted, queue deletion of associated data, if that was requested + if request.data.get("delete_events"): + AsyncDeletion.objects.bulk_create( + [ + AsyncDeletion( + deletion_type=DeletionType.Person, + team_id=self.team_id, + key=str(person.uuid), + created_by=cast(User, self.request.user), + ) + ], + ignore_conflicts=True, + ) + return response.Response(status=202) + @action(methods=["GET"], detail=False, required_scopes=["person:read"]) def values(self, request: request.Request, **kwargs) -> response.Response: key = request.GET.get("key") diff --git a/posthog/api/test/test_person.py b/posthog/api/test/test_person.py index 22895191c1f74..fd2c6e042a15f 100644 --- a/posthog/api/test/test_person.py +++ b/posthog/api/test/test_person.py @@ -378,6 +378,87 @@ def test_delete_person_and_events(self): self.assertEqual(async_deletion.key, str(person.uuid)) self.assertIsNone(async_deletion.delete_verified_at) + @freeze_time("2021-08-25T22:09:14.252Z") + def test_bulk_delete_ids(self): + person = _create_person( + team=self.team, + distinct_ids=["person_1", "anonymous_id"], + properties={"$os": "Chrome"}, + immediate=True, + ) + person2 = _create_person( + team=self.team, + distinct_ids=["person_2", "anonymous_id_2"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_event(event="test", team=self.team, distinct_id="person_1") + _create_event(event="test", team=self.team, distinct_id="anonymous_id") + _create_event(event="test", team=self.team, distinct_id="someone_else") + + response = self.client.post( + f"/api/person/bulk_delete/", {"ids": [person.uuid, person2.uuid], "delete_events": True} + ) + + self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED, response.content) + self.assertEqual(response.content, b"") # Empty response + self.assertEqual(Person.objects.filter(team=self.team).count(), 0) + + response = self.client.delete(f"/api/person/{person.uuid}/") + self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) + + ch_persons = sync_execute( + "SELECT version, is_deleted, properties FROM person FINAL WHERE team_id = %(team_id)s and id = %(uuid)s", + {"team_id": self.team.pk, "uuid": person.uuid}, + ) + self.assertEqual([(100, 1, "{}")], ch_persons) + + # async deletion scheduled and executed + async_deletion = cast(AsyncDeletion, AsyncDeletion.objects.filter(team_id=self.team.id).first()) + self.assertEqual(async_deletion.deletion_type, DeletionType.Person) + self.assertEqual(async_deletion.key, str(person.uuid)) + self.assertIsNone(async_deletion.delete_verified_at) + + @freeze_time("2021-08-25T22:09:14.252Z") + def test_bulk_delete_distinct_id(self): + person = _create_person( + team=self.team, + distinct_ids=["person_1", "anonymous_id"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_person( + team=self.team, + distinct_ids=["person_2", "anonymous_id_2"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_event(event="test", team=self.team, distinct_id="person_1") + _create_event(event="test", team=self.team, distinct_id="anonymous_id") + _create_event(event="test", team=self.team, distinct_id="someone_else") + + response = self.client.post(f"/api/person/bulk_delete/", {"distinct_ids": ["anonymous_id", "person_2"]}) + + self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED, response.content) + self.assertEqual(response.content, b"") # Empty response + self.assertEqual(Person.objects.filter(team=self.team).count(), 0) + + response = self.client.delete(f"/api/person/{person.uuid}/") + self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) + + ch_persons = sync_execute( + "SELECT version, is_deleted, properties FROM person FINAL WHERE team_id = %(team_id)s and id = %(uuid)s", + {"team_id": self.team.pk, "uuid": person.uuid}, + ) + self.assertEqual([(100, 1, "{}")], ch_persons) + # No async deletion is scheduled + self.assertEqual(AsyncDeletion.objects.filter(team_id=self.team.id).count(), 0) + ch_events = sync_execute( + "SELECT count() FROM events WHERE team_id = %(team_id)s", + {"team_id": self.team.pk}, + )[0][0] + self.assertEqual(ch_events, 3) + @freeze_time("2021-08-25T22:09:14.252Z") def test_split_people_keep_props(self) -> None: # created first From d0aa06f5bc533e5bdddd635d0b9ae45c0373a3d4 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 15:19:21 +0100 Subject: [PATCH 02/66] fix --- posthog/api/person.py | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 8ed257cbea66f..ab4132d107ef5 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -703,16 +703,17 @@ def _set_properties(self, properties, user): }, ) - log_activity( - organization_id=self.organization.id, - team_id=self.team.id, - user=user, - was_impersonated=is_impersonated_session(self.request), - item_id=instance.pk, - scope="Person", - activity="updated", - detail=Detail(changes=[Change(type="Person", action="changed", field="properties")]), - ) + if self.organization.id: # should always be true, but mypy... + log_activity( + organization_id=self.organization.id, + team_id=self.team.id, + user=user, + was_impersonated=is_impersonated_session(self.request), + item_id=instance.pk, + scope="Person", + activity="updated", + detail=Detail(changes=[Change(type="Person", action="changed", field="properties")]), + ) # PRAGMA: Methods for getting Persons via clickhouse queries def _respond_with_cached_results( From 5269bb7c7c7126679e31f67b645b7c8bf0c0bef7 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:40:08 +0100 Subject: [PATCH 03/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index ab4132d107ef5..ff5bc4d3901ac 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -405,7 +405,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "distinct_ids", OpenApiTypes.OBJECT, - description="A list of distinct ids. We'll delete all persons associated with those distinct ids. The maximum amount of ids you can pass in one call is 100.", + description="A list of distinct IDs, up to 100 of them. We'll delete all persons associated with those distinct IDs.", ), OpenApiParameter( "ids", From e90f3c766f1bb4f4222f6f95269697ae11a379c5 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:43:13 +0100 Subject: [PATCH 04/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index ff5bc4d3901ac..c642cdcc9913b 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -360,7 +360,7 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. ) def destroy(self, request: request.Request, pk=None, **kwargs): """ - Use this endpoint to delete individual persons. If you wnat to bulk delete, use the bulk_delete endpoint. + Use this endpoint to delete individual persons. For bulk deletion, use the bulk_delete endpoint instead. """ try: person = self.get_object() From 2cf95169a2e9b05c1caef039d7914c8855540e4a Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:43:18 +0100 Subject: [PATCH 05/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index c642cdcc9913b..5bd2f6fdbccd3 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -417,7 +417,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): @action(methods=["POST"], detail=False, required_scopes=["person:write"]) def bulk_delete(self, request: request.Request, pk=None, **kwargs): """ - This endpoint allows you to bulk delete persons, either by the PostHog persons ID or by distinct IDs. You can pass through a maximum of 100 ids per call. + This endpoint allows you to bulk delete persons, either by the PostHog person IDs or by distinct IDs. You can pass in a maximum of 100 IDs per call. """ if request.data.get("distinct_ids"): if len(request.data["distinct_ids"]) > 100: From 5f65b122a702a6ce9f5c7af6dc848a00c114dfed Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:55:33 +0100 Subject: [PATCH 06/66] nit --- posthog/api/person.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 5bd2f6fdbccd3..8a464c9fc4fca 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -410,7 +410,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "ids", OpenApiTypes.OBJECT, - description="A list of PostHog person ids. We'll automatically fetch all related persons and delete those. The maximum amount of ids you can pass in one call is 100.", + description="A list of PostHog person IDs, up to 100 of them. We'll delete all the persons listed.", ), ], ) @@ -419,14 +419,14 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): """ This endpoint allows you to bulk delete persons, either by the PostHog person IDs or by distinct IDs. You can pass in a maximum of 100 IDs per call. """ - if request.data.get("distinct_ids"): - if len(request.data["distinct_ids"]) > 100: + if distinct_ids := request.data.get("distinct_ids"): + if len(distinct_ids) > 100: raise ValidationError("You can only pass 100 distinct_ids in one call") - persons = self.get_queryset().filter(persondistinctid__distinct_id__in=request.data.get("distinct_ids")) - elif request.data.get("ids"): - if len(request.data["ids"]) > 100: + persons = self.get_queryset().filter(persondistinctid__distinct_id__in=distinct_ids) + elif ids := request.data.get("ids"): + if len(ids) > 100: raise ValidationError("You can only pass 100 ids in one call") - persons = self.get_queryset().filter(uuid__in=request.data["ids"]) + persons = self.get_queryset().filter(uuid__in=ids) else: raise ValidationError("You need to specify either distinct_ids or ids") From 86b966e0718082c44f6787f012848a6d6902e038 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:56:03 +0100 Subject: [PATCH 07/66] docs nit --- posthog/api/person.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 8a464c9fc4fca..b410de3d7da68 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -353,7 +353,7 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. OpenApiParameter( "delete_events", OpenApiTypes.BOOL, - description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday", default=False, ), ], @@ -399,7 +399,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "delete_events", OpenApiTypes.BOOL, - description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday", default=False, ), OpenApiParameter( From 5e25cc7e2e5589d775102bc7ab5a8887f1714d85 Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Sat, 7 Sep 2024 00:50:22 +0200 Subject: [PATCH 08/66] Remove from Postgres before ClickHouse emit --- posthog/api/person.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index b410de3d7da68..9edfccce1ee6b 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -365,8 +365,8 @@ def destroy(self, request: request.Request, pk=None, **kwargs): try: person = self.get_object() person_id = person.id - delete_person(person=person) self.perform_destroy(person) + delete_person(person=person) log_activity( organization_id=self.organization.id, team_id=self.team_id, @@ -431,8 +431,8 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): raise ValidationError("You need to specify either distinct_ids or ids") for person in persons: - delete_person(person=person) self.perform_destroy(person) + delete_person(person=person) log_activity( organization_id=self.organization.id, team_id=self.team_id, From 8d5053d55e6aff30629e18399306c52f51f91d7f Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Mon, 9 Sep 2024 09:23:01 +0200 Subject: [PATCH 09/66] Fix `person` instance access --- posthog/models/person/util.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/models/person/util.py b/posthog/models/person/util.py index 0e1efa7bdb2c9..4dbf3117a1a46 100644 --- a/posthog/models/person/util.py +++ b/posthog/models/person/util.py @@ -232,9 +232,9 @@ def get_persons_by_uuids(team: Team, uuids: list[str]) -> QuerySet: def delete_person(person: Person, sync: bool = False) -> None: # This is racy https://github.com/PostHog/posthog/issues/11590 distinct_ids_to_version = _get_distinct_ids_with_version(person) - _delete_person(person.team.id, person.uuid, int(person.version or 0), person.created_at, sync) + _delete_person(person.team_id, person.uuid, int(person.version or 0), person.created_at, sync) for distinct_id, version in distinct_ids_to_version.items(): - _delete_ch_distinct_id(person.team.id, person.uuid, distinct_id, version, sync) + _delete_ch_distinct_id(person.team_id, person.uuid, distinct_id, version, sync) def _delete_person( From 4196136027b61fba65ce9bb1715161aa59d1e25c Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Thu, 5 Sep 2024 17:38:05 +0100 Subject: [PATCH 10/66] chore: allow exporting mobile recordings while impersonating a user (#24816) --- .../src/scenes/session-recordings/player/PlayerMetaLinks.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/src/scenes/session-recordings/player/PlayerMetaLinks.tsx b/frontend/src/scenes/session-recordings/player/PlayerMetaLinks.tsx index a58bc3e739ead..b677c8fec155e 100644 --- a/frontend/src/scenes/session-recordings/player/PlayerMetaLinks.tsx +++ b/frontend/src/scenes/session-recordings/player/PlayerMetaLinks.tsx @@ -170,7 +170,7 @@ const MenuActions = (): JSX.Element => { useActions(sessionRecordingPlayerLogic) const { fetchSimilarRecordings } = useActions(sessionRecordingDataLogic(logicProps)) - const hasMobileExport = useFeatureFlag('SESSION_REPLAY_EXPORT_MOBILE_DATA') + const hasMobileExport = window.IMPERSONATED_SESSION || useFeatureFlag('SESSION_REPLAY_EXPORT_MOBILE_DATA') const hasSimilarRecordings = useFeatureFlag('REPLAY_SIMILAR_RECORDINGS') const onDelete = (): void => { From 5c72dda620b91e51404ac2f8768585b05cf8d03f Mon Sep 17 00:00:00 2001 From: Raquel Smith Date: Thu, 5 Sep 2024 10:59:04 -0700 Subject: [PATCH 11/66] feat(onboarding-templates): create custom variable selector panel (#24770) --- .../lemon-ui/LemonCollapse/LemonCollapse.tsx | 7 +- .../dashboardTemplateVariablesLogic.ts | 61 +++++- .../DashboardTemplateConfigureStep.tsx | 20 +- .../DashboardTemplateVariables.tsx | 186 ++++++++++++++++++ frontend/src/types.ts | 1 + 5 files changed, 267 insertions(+), 8 deletions(-) create mode 100644 frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateVariables.tsx diff --git a/frontend/src/lib/lemon-ui/LemonCollapse/LemonCollapse.tsx b/frontend/src/lib/lemon-ui/LemonCollapse/LemonCollapse.tsx index 32b569226dcaa..ed3bd39277311 100644 --- a/frontend/src/lib/lemon-ui/LemonCollapse/LemonCollapse.tsx +++ b/frontend/src/lib/lemon-ui/LemonCollapse/LemonCollapse.tsx @@ -96,6 +96,7 @@ interface LemonCollapsePanelProps { onChange: (isExpanded: boolean) => void className?: string dataAttr?: string + onHeaderClick?: () => void } function LemonCollapsePanel({ @@ -106,13 +107,17 @@ function LemonCollapsePanel({ className, dataAttr, onChange, + onHeaderClick, }: LemonCollapsePanelProps): JSX.Element { const { height: contentHeight, ref: contentRef } = useResizeObserver({ box: 'border-box' }) return (
onChange(!isExpanded)} + onClick={() => { + onHeaderClick && onHeaderClick() + onChange(!isExpanded) + }} icon={isExpanded ? : } className="LemonCollapsePanel__header" {...(dataAttr ? { 'data-attr': dataAttr } : {})} diff --git a/frontend/src/scenes/dashboard/dashboardTemplateVariablesLogic.ts b/frontend/src/scenes/dashboard/dashboardTemplateVariablesLogic.ts index 39b45617e66ac..da23d22466d25 100644 --- a/frontend/src/scenes/dashboard/dashboardTemplateVariablesLogic.ts +++ b/frontend/src/scenes/dashboard/dashboardTemplateVariablesLogic.ts @@ -1,4 +1,4 @@ -import { actions, kea, path, props, propsChanged, reducers } from 'kea' +import { actions, kea, listeners, path, props, propsChanged, reducers, selectors } from 'kea' import { isEmptyObject } from 'lib/utils' import { DashboardTemplateVariableType, FilterType, Optional } from '~/types' @@ -24,6 +24,11 @@ export const dashboardTemplateVariablesLogic = kea ({ index }), + incrementActiveVariableIndex: true, + possiblyIncrementActiveVariableIndex: true, + resetVariable: (variableId: string) => ({ variableId }), + goToNextUntouchedActiveVariableIndex: true, }), reducers({ variables: [ @@ -41,14 +46,64 @@ export const dashboardTemplateVariablesLogic = kea { if (v.name === variableName && filterGroup?.events?.length && filterGroup.events[0]) { - return { ...v, default: filterGroup.events[0] } + return { ...v, default: filterGroup.events[0], touched: true } } - return v + return { ...v } + }) + }, + resetVariable: (state, { variableId }) => { + return state.map((v: DashboardTemplateVariableType) => { + if (v.id === variableId) { + return { ...v, default: FALLBACK_EVENT, touched: false } + } + return { ...v } }) }, }, ], + activeVariableIndex: [ + 0, + { + setActiveVariableIndex: (_, { index }) => index, + incrementActiveVariableIndex: (state) => state + 1, + }, + ], }), + selectors(() => ({ + activeVariable: [ + (s) => [s.variables, s.activeVariableIndex], + (variables: DashboardTemplateVariableType[], activeVariableIndex: number) => { + return variables[activeVariableIndex] + }, + ], + allVariablesAreTouched: [ + (s) => [s.variables], + (variables: DashboardTemplateVariableType[]) => { + return variables.every((v) => v.touched) + }, + ], + })), + listeners(({ actions, props, values }) => ({ + possiblyIncrementActiveVariableIndex: () => { + if (props.variables.length > 0 && values.activeVariableIndex < props.variables.length - 1) { + actions.incrementActiveVariableIndex() + } + }, + goToNextUntouchedActiveVariableIndex: () => { + let nextIndex = values.variables.findIndex((v, i) => !v.touched && i > values.activeVariableIndex) + if (nextIndex !== -1) { + actions.setActiveVariableIndex(nextIndex) + return + } + if (nextIndex == -1) { + nextIndex = values.variables.findIndex((v) => !v.touched) + if (nextIndex == -1) { + nextIndex = values.activeVariableIndex + } + } + actions.setActiveVariableIndex(nextIndex) + }, + })), propsChanged(({ actions, props }, oldProps) => { if (props.variables !== oldProps.variables) { actions.setVariables(props.variables) diff --git a/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateConfigureStep.tsx b/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateConfigureStep.tsx index 1f67ee2abd399..2bed8e8a07d2f 100644 --- a/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateConfigureStep.tsx +++ b/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateConfigureStep.tsx @@ -1,17 +1,17 @@ import { IconArrowRight } from '@posthog/icons' -import { LemonButton, LemonCard, LemonSkeleton } from '@posthog/lemon-ui' +import { LemonButton, LemonCard, LemonSkeleton, Link } from '@posthog/lemon-ui' import { useActions, useValues } from 'kea' import { authorizedUrlListLogic, AuthorizedUrlListType } from 'lib/components/AuthorizedUrlList/authorizedUrlListLogic' import { IframedToolbarBrowser } from 'lib/components/IframedToolbarBrowser/IframedToolbarBrowser' import { iframedToolbarBrowserLogic } from 'lib/components/IframedToolbarBrowser/iframedToolbarBrowserLogic' import { useRef, useState } from 'react' -import { DashboardTemplateVariables } from 'scenes/dashboard/DashboardTemplateVariables' import { dashboardTemplateVariablesLogic } from 'scenes/dashboard/dashboardTemplateVariablesLogic' import { newDashboardLogic } from 'scenes/dashboard/newDashboardLogic' import { OnboardingStepKey } from '../onboardingLogic' import { OnboardingStep } from '../OnboardingStep' import { sdksLogic } from '../sdks/sdksLogic' +import { DashboardTemplateVariables } from './DashboardTemplateVariables' import { onboardingTemplateConfigLogic } from './onboardingTemplateConfigLogic' export const OnboardingDashboardTemplateConfigureStep = ({ @@ -23,11 +23,14 @@ export const OnboardingDashboardTemplateConfigureStep = ({ const { activeDashboardTemplate } = useValues(onboardingTemplateConfigLogic) const { createDashboardFromTemplate } = useActions(newDashboardLogic) const { isLoading } = useValues(newDashboardLogic) - const { variables } = useValues(dashboardTemplateVariablesLogic) const { snippetHosts } = useValues(sdksLogic) const { addUrl } = useActions(authorizedUrlListLogic({ actionId: null, type: AuthorizedUrlListType.TOOLBAR_URLS })) const { setBrowserUrl } = useActions(iframedToolbarBrowserLogic({ iframeRef, clearBrowserUrlOnUnmount: true })) const { browserUrl } = useValues(iframedToolbarBrowserLogic({ iframeRef, clearBrowserUrlOnUnmount: true })) + const theDashboardTemplateVariablesLogic = dashboardTemplateVariablesLogic({ + variables: activeDashboardTemplate?.variables || [], + }) + const { variables, allVariablesAreTouched } = useValues(theDashboardTemplateVariablesLogic) const [isSubmitting, setIsSubmitting] = useState(false) @@ -105,7 +108,15 @@ export const OnboardingDashboardTemplateConfigureStep = ({ )}
- +

+ For each action below, select an element on your site that indicates when that action is + taken, or enter a custom event name that you'll send using{' '} + + posthog.capture() + {' '} + (no need to send it now) . +

+ Create dashboard diff --git a/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateVariables.tsx b/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateVariables.tsx new file mode 100644 index 0000000000000..e22f822eedcfe --- /dev/null +++ b/frontend/src/scenes/onboarding/productAnalyticsSteps/DashboardTemplateVariables.tsx @@ -0,0 +1,186 @@ +import { IconCheckCircle, IconInfo, IconTrash } from '@posthog/icons' +import { LemonBanner, LemonButton, LemonCollapse, LemonInput, LemonLabel } from '@posthog/lemon-ui' +import { useActions, useValues } from 'kea' +import { useEffect, useState } from 'react' +import { dashboardTemplateVariablesLogic } from 'scenes/dashboard/dashboardTemplateVariablesLogic' +import { newDashboardLogic } from 'scenes/dashboard/newDashboardLogic' + +import { DashboardTemplateVariableType } from '~/types' + +function VariableSelector({ + variable, + hasSelectedSite, +}: { + variable: DashboardTemplateVariableType + hasSelectedSite: boolean +}): JSX.Element { + const { activeDashboardTemplate } = useValues(newDashboardLogic) + const theDashboardTemplateVariablesLogic = dashboardTemplateVariablesLogic({ + variables: activeDashboardTemplate?.variables || [], + }) + const { setVariable, resetVariable, goToNextUntouchedActiveVariableIndex, incrementActiveVariableIndex } = + useActions(theDashboardTemplateVariablesLogic) + const { allVariablesAreTouched, variables, activeVariableIndex } = useValues(theDashboardTemplateVariablesLogic) + const [customEventName, setCustomEventName] = useState(null) + const [showCustomEventField, setShowCustomEventField] = useState(false) + + const FALLBACK_EVENT = { + id: '$other_event', + math: 'dau', + type: 'events', + } + + return ( +
+
+

+ {variable.description} +

+
+ {variable.touched && !customEventName && ( +
+
+ {' '} + Selected +

.md-invite-button

+
+
+ } + type="tertiary" + size="small" + onClick={() => resetVariable(variable.id)} + /> +
+
+ )} + {showCustomEventField && ( +
+ Custom event name +

+ Set the name that you'll use for a custom event (eg. a backend event) instead of selecting an + event from your site. You can change this later if needed. +

+
+ { + if (v) { + setCustomEventName(v) + setVariable(variable.name, { + events: [{ id: v, math: 'dau', type: 'events' }], + }) + } else { + setCustomEventName(null) + resetVariable(variable.id) + } + }} + onBlur={() => { + if (customEventName) { + setVariable(variable.name, { + events: [{ id: customEventName, math: 'dau', type: 'events' }], + }) + } else { + resetVariable(variable.id) + setShowCustomEventField(false) + } + }} + /> +
+ } + type="tertiary" + size="small" + onClick={() => { + resetVariable(variable.id) + setCustomEventName(null) + setShowCustomEventField(false) + }} + /> +
+
+
+ )} + {!hasSelectedSite ? ( + Please select a site to continue. + ) : ( +
+ {variable.touched ? ( + <> + {!allVariablesAreTouched || + (allVariablesAreTouched && variables.length !== activeVariableIndex + 1) ? ( + + !allVariablesAreTouched + ? goToNextUntouchedActiveVariableIndex() + : variables.length !== activeVariableIndex + 1 + ? incrementActiveVariableIndex() + : null + } + > + Continue + + ) : null} + + ) : ( +
+ { + setShowCustomEventField(false) + setVariable(variable.name, { events: [FALLBACK_EVENT] }) + }} + > + Select from site + + setShowCustomEventField(true)}> + Use custom event + +
+ )} +
+ )} +
+ ) +} + +export function DashboardTemplateVariables({ hasSelectedSite }: { hasSelectedSite: boolean }): JSX.Element { + const { activeDashboardTemplate } = useValues(newDashboardLogic) + const theDashboardTemplateVariablesLogic = dashboardTemplateVariablesLogic({ + variables: activeDashboardTemplate?.variables || [], + }) + const { variables, activeVariableIndex } = useValues(theDashboardTemplateVariablesLogic) + const { setVariables, setActiveVariableIndex } = useActions(theDashboardTemplateVariablesLogic) + + // TODO: onboarding-dashboard-templates: this is a hack, I'm not sure why it's not set properly initially. + useEffect(() => { + setVariables(activeDashboardTemplate?.variables || []) + }, [activeDashboardTemplate]) + + return ( +
+ ({ + key: v.id, + header: ( +
+ {v.name} + {v.touched && } +
+ ), + content: , + className: 'p-4 bg-white', + onHeaderClick: () => { + setActiveVariableIndex(i) + }, + }))} + embedded + size="small" + /> +
+ ) +} diff --git a/frontend/src/types.ts b/frontend/src/types.ts index 61d6072f17d21..d1aaa92a6007f 100644 --- a/frontend/src/types.ts +++ b/frontend/src/types.ts @@ -1800,6 +1800,7 @@ export interface DashboardTemplateVariableType { type: 'event' default: Record required: boolean + touched?: boolean } export type DashboardLayoutSize = 'sm' | 'xs' From 380f683b97a3cc0a231230b96b88704a361f133f Mon Sep 17 00:00:00 2001 From: Sandy Spicer Date: Thu, 5 Sep 2024 11:40:33 -0700 Subject: [PATCH 12/66] feat(insights): launch funnels as a Clickhouse UDF behind a feature flag (#23587) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- .github/actions/run-backend-tests/action.yml | 6 + .github/workflows/ci-backend.yml | 1 + docker-compose.dev-full.yml | 2 + docker-compose.dev.yml | 5 + .../docker-entrypoint-initdb.d/init-db.sh | 1 + docker/clickhouse/entrypoint.sh | 207 + docker/clickhouse/user_defined_function.xml | 287 ++ ...--funnel-top-to-bottom-breakdown--dark.png | Bin 96783 -> 96992 bytes frontend/src/lib/constants.tsx | 1 + frontend/src/queries/schema.json | 12 + frontend/src/queries/schema.ts | 5 +- posthog/hogql/constants.py | 2 + posthog/hogql/functions/mapping.py | 11 +- .../test/__snapshots__/test_in_cohort.ambr | 8 +- .../insights/funnels/__init__.py | 1 + .../hogql_queries/insights/funnels/base.py | 105 +- .../insights/funnels/funnel_query_context.py | 7 +- .../funnels/funnel_time_to_convert.py | 3 +- .../insights/funnels/funnel_trends.py | 124 +- .../insights/funnels/funnel_trends_udf.py | 163 + .../insights/funnels/funnel_udf.py | 184 + .../insights/funnels/funnels_query_runner.py | 19 +- .../test_breakdowns_by_current_url.ambr | 213 - .../__snapshots__/test_funnel_strict.ambr | 1127 +++++ .../__snapshots__/test_funnel_strict_udf.ambr | 2066 ++++++++ .../__snapshots__/test_funnel_trends.ambr | 362 ++ .../__snapshots__/test_funnel_trends_udf.ambr | 602 +++ .../test/__snapshots__/test_funnel_udf.ambr | 1887 ++++++++ .../insights/funnels/test/test_funnel.py | 29 +- .../funnels/test/test_funnel_strict.py | 29 +- .../funnels/test/test_funnel_strict_udf.py | 28 + .../funnels/test/test_funnel_trends.py | 22 +- .../funnels/test/test_funnel_trends_udf.py | 8 + .../insights/funnels/test/test_funnel_udf.py | 66 + .../hogql_queries/insights/funnels/utils.py | 5 +- posthog/hogql_queries/insights/utils/utils.py | 5 + .../legacy_compatibility/feature_flag.py | 21 + posthog/schema.py | 4 + posthog/test/user_scripts/__init__.py | 0 .../user_scripts/test_aggregate_funnel.py | 4206 +++++++++++++++++ posthog/user_scripts/aggregate_funnel.py | 144 + .../user_scripts/aggregate_funnel_array.py | 9 + .../aggregate_funnel_array_trends.py | 9 + .../aggregate_funnel_array_trends_test.py | 13 + .../user_scripts/aggregate_funnel_cohort.py | 9 + .../aggregate_funnel_cohort_trends.py | 9 + posthog/user_scripts/aggregate_funnel_test.py | 13 + .../user_scripts/aggregate_funnel_trends.py | 131 + posthog/utils.py | 1 + requirements.in | 2 +- requirements.txt | 2 +- 51 files changed, 11868 insertions(+), 308 deletions(-) create mode 100755 docker/clickhouse/entrypoint.sh create mode 100644 docker/clickhouse/user_defined_function.xml create mode 100644 posthog/hogql_queries/insights/funnels/funnel_trends_udf.py create mode 100644 posthog/hogql_queries/insights/funnels/funnel_udf.py delete mode 100644 posthog/hogql_queries/insights/funnels/test/__snapshots__/test_breakdowns_by_current_url.ambr create mode 100644 posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr create mode 100644 posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends_udf.ambr create mode 100644 posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr create mode 100644 posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py create mode 100644 posthog/hogql_queries/insights/funnels/test/test_funnel_trends_udf.py create mode 100644 posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py create mode 100644 posthog/test/user_scripts/__init__.py create mode 100644 posthog/test/user_scripts/test_aggregate_funnel.py create mode 100755 posthog/user_scripts/aggregate_funnel.py create mode 100755 posthog/user_scripts/aggregate_funnel_array.py create mode 100755 posthog/user_scripts/aggregate_funnel_array_trends.py create mode 100755 posthog/user_scripts/aggregate_funnel_array_trends_test.py create mode 100755 posthog/user_scripts/aggregate_funnel_cohort.py create mode 100755 posthog/user_scripts/aggregate_funnel_cohort_trends.py create mode 100755 posthog/user_scripts/aggregate_funnel_test.py create mode 100755 posthog/user_scripts/aggregate_funnel_trends.py diff --git a/.github/actions/run-backend-tests/action.yml b/.github/actions/run-backend-tests/action.yml index 7bbe4b5147942..34c0a34cebeda 100644 --- a/.github/actions/run-backend-tests/action.yml +++ b/.github/actions/run-backend-tests/action.yml @@ -167,6 +167,12 @@ runs: --durations=100 --durations-min=1.0 --store-durations \ $PYTEST_ARGS + # Uncomment this code to create an ssh-able console so you can debug issues with github actions + # (Consider changing the timeout in ci-backend.yml to have more time) + # - name: Setup tmate session + # if: failure() + # uses: mxschmitt/action-tmate@v3 + - name: Run /decide read replica tests id: run-decide-read-replica-tests if: ${{ inputs.segment == 'Core' && inputs.group == 1 && inputs.person-on-events != 'true' }} diff --git a/.github/workflows/ci-backend.yml b/.github/workflows/ci-backend.yml index 6155740676e03..fb15ed052a75a 100644 --- a/.github/workflows/ci-backend.yml +++ b/.github/workflows/ci-backend.yml @@ -224,6 +224,7 @@ jobs: django: needs: changes + # increase for tmate testing timeout-minutes: 30 name: Django tests – ${{ matrix.segment }} (persons-on-events ${{ matrix.person-on-events && 'on' || 'off' }}), Py ${{ matrix.python-version }}, ${{ matrix.clickhouse-server-image }} (${{matrix.group}}/${{ matrix.concurrency }}) diff --git a/docker-compose.dev-full.yml b/docker-compose.dev-full.yml index 96db120b76660..606d5f6a3bc9f 100644 --- a/docker-compose.dev-full.yml +++ b/docker-compose.dev-full.yml @@ -47,6 +47,8 @@ services: - ./docker/clickhouse/docker-entrypoint-initdb.d:/docker-entrypoint-initdb.d - ./docker/clickhouse/config.xml:/etc/clickhouse-server/config.xml - ./docker/clickhouse/users-dev.xml:/etc/clickhouse-server/users.xml + - ./docker/clickhouse/user_defined_function.xml:/etc/clickhouse-server/user_defined_function.xml + - ./posthog/user_scripts:/var/lib/clickhouse/user_scripts depends_on: - kafka - zookeeper diff --git a/docker-compose.dev.yml b/docker-compose.dev.yml index d21b1af2ee75d..e9d698c2d3584 100644 --- a/docker-compose.dev.yml +++ b/docker-compose.dev.yml @@ -61,10 +61,15 @@ services: - '9440:9440' - '9009:9009' volumes: + # this new entrypoint file is to fix a bug detailed here https://github.com/ClickHouse/ClickHouse/pull/59991 + # revert this when we upgrade clickhouse + - ./docker/clickhouse/entrypoint.sh:/entrypoint.sh - ./posthog/idl:/idl - ./docker/clickhouse/docker-entrypoint-initdb.d:/docker-entrypoint-initdb.d - ./docker/clickhouse/config.xml:/etc/clickhouse-server/config.xml - ./docker/clickhouse/users-dev.xml:/etc/clickhouse-server/users.xml + - ./docker/clickhouse/user_defined_function.xml:/etc/clickhouse-server/user_defined_function.xml + - ./posthog/user_scripts:/var/lib/clickhouse/user_scripts extra_hosts: - 'host.docker.internal:host-gateway' depends_on: diff --git a/docker/clickhouse/docker-entrypoint-initdb.d/init-db.sh b/docker/clickhouse/docker-entrypoint-initdb.d/init-db.sh index 0d4f4332c98ad..4141e3345d05b 100755 --- a/docker/clickhouse/docker-entrypoint-initdb.d/init-db.sh +++ b/docker/clickhouse/docker-entrypoint-initdb.d/init-db.sh @@ -1,4 +1,5 @@ #!/bin/bash set -e +apk add python3 cp -r /idl/* /var/lib/clickhouse/format_schemas/ diff --git a/docker/clickhouse/entrypoint.sh b/docker/clickhouse/entrypoint.sh new file mode 100755 index 0000000000000..7d247ab14ea2a --- /dev/null +++ b/docker/clickhouse/entrypoint.sh @@ -0,0 +1,207 @@ +#!/bin/bash + +set -eo pipefail +shopt -s nullglob + +DO_CHOWN=1 +if [ "${CLICKHOUSE_DO_NOT_CHOWN:-0}" = "1" ]; then + DO_CHOWN=0 +fi + +CLICKHOUSE_UID="${CLICKHOUSE_UID:-"$(id -u clickhouse)"}" +CLICKHOUSE_GID="${CLICKHOUSE_GID:-"$(id -g clickhouse)"}" + +# support --user +if [ "$(id -u)" = "0" ]; then + USER=$CLICKHOUSE_UID + GROUP=$CLICKHOUSE_GID +else + USER="$(id -u)" + GROUP="$(id -g)" + DO_CHOWN=0 +fi + +# set some vars +CLICKHOUSE_CONFIG="${CLICKHOUSE_CONFIG:-/etc/clickhouse-server/config.xml}" + +# get CH directories locations +DATA_DIR="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=path || true)" +TMP_DIR="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=tmp_path || true)" +USER_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=user_files_path || true)" +LOG_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=logger.log || true)" +LOG_DIR="" +if [ -n "$LOG_PATH" ]; then LOG_DIR="$(dirname "$LOG_PATH")"; fi +ERROR_LOG_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=logger.errorlog || true)" +ERROR_LOG_DIR="" +if [ -n "$ERROR_LOG_PATH" ]; then ERROR_LOG_DIR="$(dirname "$ERROR_LOG_PATH")"; fi +FORMAT_SCHEMA_PATH="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=format_schema_path || true)" + +# There could be many disks declared in config +readarray -t DISKS_PATHS < <(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key='storage_configuration.disks.*.path' || true) +readarray -t DISKS_METADATA_PATHS < <(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key='storage_configuration.disks.*.metadata_path' || true) + +CLICKHOUSE_USER="${CLICKHOUSE_USER:-default}" +CLICKHOUSE_PASSWORD="${CLICKHOUSE_PASSWORD:-}" +CLICKHOUSE_DB="${CLICKHOUSE_DB:-}" +CLICKHOUSE_ACCESS_MANAGEMENT="${CLICKHOUSE_DEFAULT_ACCESS_MANAGEMENT:-0}" + +for dir in "$DATA_DIR" \ + "$ERROR_LOG_DIR" \ + "$LOG_DIR" \ + "$TMP_DIR" \ + "$USER_PATH" \ + "$FORMAT_SCHEMA_PATH" \ + "${DISKS_PATHS[@]}" \ + "${DISKS_METADATA_PATHS[@]}" +do + # check if variable not empty + [ -z "$dir" ] && continue + # ensure directories exist + if [ "$DO_CHOWN" = "1" ]; then + mkdir="mkdir" + else + # if DO_CHOWN=0 it means that the system does not map root user to "admin" permissions + # it mainly happens on NFS mounts where root==nobody for security reasons + # thus mkdir MUST run with user id/gid and not from nobody that has zero permissions + mkdir="/usr/bin/clickhouse su "${USER}:${GROUP}" mkdir" + fi + if ! $mkdir -p "$dir"; then + echo "Couldn't create necessary directory: $dir" + exit 1 + fi + + if [ "$DO_CHOWN" = "1" ]; then + # ensure proper directories permissions + # but skip it for if directory already has proper premissions, cause recursive chown may be slow + if [ "$(stat -c %u "$dir")" != "$USER" ] || [ "$(stat -c %g "$dir")" != "$GROUP" ]; then + chown -R "$USER:$GROUP" "$dir" + fi + fi +done + +# if clickhouse user is defined - create it (user "default" already exists out of box) +if [ -n "$CLICKHOUSE_USER" ] && [ "$CLICKHOUSE_USER" != "default" ] || [ -n "$CLICKHOUSE_PASSWORD" ] || [ "$CLICKHOUSE_ACCESS_MANAGEMENT" != "0" ]; then + echo "$0: create new user '$CLICKHOUSE_USER' instead 'default'" + cat < /etc/clickhouse-server/users.d/default-user.xml + + + + + + + + <${CLICKHOUSE_USER}> + default + + ::/0 + + ${CLICKHOUSE_PASSWORD} + default + ${CLICKHOUSE_ACCESS_MANAGEMENT} + + + +EOT +fi + +CLICKHOUSE_ALWAYS_RUN_INITDB_SCRIPTS="${CLICKHOUSE_ALWAYS_RUN_INITDB_SCRIPTS:-}" + +# checking $DATA_DIR for initialization +if [ -d "${DATA_DIR%/}/data" ]; then + DATABASE_ALREADY_EXISTS='true' +fi + +# run initialization if flag CLICKHOUSE_ALWAYS_RUN_INITDB_SCRIPTS is not empty or data directory is empty +if [[ -n "${CLICKHOUSE_ALWAYS_RUN_INITDB_SCRIPTS}" || -z "${DATABASE_ALREADY_EXISTS}" ]]; then + RUN_INITDB_SCRIPTS='true' +fi + +if [ -n "${RUN_INITDB_SCRIPTS}" ]; then + if [ -n "$(ls /docker-entrypoint-initdb.d/)" ] || [ -n "$CLICKHOUSE_DB" ]; then + # port is needed to check if clickhouse-server is ready for connections + HTTP_PORT="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=http_port --try)" + HTTPS_PORT="$(clickhouse extract-from-config --config-file "$CLICKHOUSE_CONFIG" --key=https_port --try)" + + if [ -n "$HTTP_PORT" ]; then + URL="http://127.0.0.1:$HTTP_PORT/ping" + else + URL="https://127.0.0.1:$HTTPS_PORT/ping" + fi + + # Listen only on localhost until the initialization is done + /usr/bin/clickhouse su "${USER}:${GROUP}" /usr/bin/clickhouse-server --config-file="$CLICKHOUSE_CONFIG" -- --listen_host=127.0.0.1 & + pid="$!" + + # check if clickhouse is ready to accept connections + # will try to send ping clickhouse via http_port (max 1000 retries by default, with 1 sec timeout and 1 sec delay between retries) + tries=${CLICKHOUSE_INIT_TIMEOUT:-1000} + while ! wget --spider --no-check-certificate -T 1 -q "$URL" 2>/dev/null; do + if [ "$tries" -le "0" ]; then + echo >&2 'ClickHouse init process failed.' + exit 1 + fi + tries=$(( tries-1 )) + sleep 1 + done + + clickhouseclient=( clickhouse-client --multiquery --host "127.0.0.1" -u "$CLICKHOUSE_USER" --password "$CLICKHOUSE_PASSWORD" ) + + echo + + # create default database, if defined + if [ -n "$CLICKHOUSE_DB" ]; then + echo "$0: create database '$CLICKHOUSE_DB'" + "${clickhouseclient[@]}" -q "CREATE DATABASE IF NOT EXISTS $CLICKHOUSE_DB"; + fi + + for f in /docker-entrypoint-initdb.d/*; do + case "$f" in + *.sh) + if [ -x "$f" ]; then + echo "$0: running $f" + "$f" + else + echo "$0: sourcing $f" + # shellcheck source=/dev/null + . "$f" + fi + ;; + *.sql) echo "$0: running $f"; "${clickhouseclient[@]}" < "$f" ; echo ;; + *.sql.gz) echo "$0: running $f"; gunzip -c "$f" | "${clickhouseclient[@]}"; echo ;; + *) echo "$0: ignoring $f" ;; + esac + echo + done + + if ! kill -s TERM "$pid" || ! wait "$pid"; then + echo >&2 'Finishing of ClickHouse init process failed.' + exit 1 + fi + fi +else + echo "ClickHouse Database directory appears to contain a database; Skipping initialization" +fi + +# if no args passed to `docker run` or first argument start with `--`, then the user is passing clickhouse-server arguments +if [[ $# -lt 1 ]] || [[ "$1" == "--"* ]]; then + # Watchdog is launched by default, but does not send SIGINT to the main process, + # so the container can't be finished by ctrl+c + CLICKHOUSE_WATCHDOG_ENABLE=${CLICKHOUSE_WATCHDOG_ENABLE:-0} + export CLICKHOUSE_WATCHDOG_ENABLE + + # An option for easy restarting and replacing clickhouse-server in a container, especially in Kubernetes. + # For example, you can replace the clickhouse-server binary to another and restart it while keeping the container running. + if [[ "${CLICKHOUSE_DOCKER_RESTART_ON_EXIT:-0}" -eq "1" ]]; then + while true; do + # This runs the server as a child process of the shell script: + /usr/bin/clickhouse su "${USER}:${GROUP}" /usr/bin/clickhouse-server --config-file="$CLICKHOUSE_CONFIG" "$@" ||: + echo >&2 'ClickHouse Server exited, and the environment variable CLICKHOUSE_DOCKER_RESTART_ON_EXIT is set to 1. Restarting the server.' + done + else + # This replaces the shell script with the server: + exec /usr/bin/clickhouse su "${USER}:${GROUP}" /usr/bin/clickhouse-server --config-file="$CLICKHOUSE_CONFIG" "$@" + fi +fi + +# Otherwise, we assume the user want to run his own process, for example a `bash` shell to explore this image +exec "$@" diff --git a/docker/clickhouse/user_defined_function.xml b/docker/clickhouse/user_defined_function.xml new file mode 100644 index 0000000000000..9617d2495ced1 --- /dev/null +++ b/docker/clickhouse/user_defined_function.xml @@ -0,0 +1,287 @@ + + + executable + aggregate_funnel + Array(Tuple(Int8, Nullable(String), Array(Float64))) + result + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Nullable(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel.py + + + + executable + aggregate_funnel_cohort + Array(Tuple(Int8, UInt64, Array(Float64))) + result + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(UInt64) + prop_vals + + + Array(Tuple(Nullable(Float64), UInt64, Array(Int8))) + value + + JSONEachRow + aggregate_funnel_cohort.py + + + + executable + aggregate_funnel_array + Array(Tuple(Int8, Array(String), Array(Float64))) + result + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Array(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Array(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel_array.py + + + + executable + aggregate_funnel_test + String + result + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Array(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel_test.py + + + + executable + aggregate_funnel_trends + Array(Tuple(DateTime, Int8, Nullable(String))) + result + + UInt8 + from_step + + + UInt8 + num_steps + + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Nullable(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(DateTime), Nullable(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel_trends.py + + + + executable + aggregate_funnel_array_trends + + Array(Tuple(DateTime, Int8, Array(String))) + result + + UInt8 + from_step + + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Array(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(DateTime), Array(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel_array_trends.py + + + + executable + aggregate_funnel_cohort_trends + + Array(Tuple(DateTime, Int8, UInt64)) + result + + UInt8 + from_step + + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(UInt64) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(DateTime), UInt64, Array(Int8))) + value + + JSONEachRow + aggregate_funnel_cohort_trends.py + + + + executable + aggregate_funnel_array_trends_test + String + result + + UInt8 + from_step + + + UInt8 + num_steps + + + UInt64 + conversion_window_limit + + + String + breakdown_attribution_type + + + String + funnel_order_type + + + Array(Array(String)) + prop_vals + + + Array(Tuple(Nullable(Float64), Nullable(DateTime), Array(String), Array(Int8))) + value + + JSONEachRow + aggregate_funnel_array_trends_test.py + + \ No newline at end of file diff --git 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z`CRrNAF^&fqf}|ED1Sj*o~@wy&Cz3v>cLd}+A0Q9u70$4;u8fO6DPGjbt%8)Fy;l% zoSu%Zir%M-0^>^pn%_O_4@(Mt=XHZQm(7EP_lBqD<5(ae0_eWHR3>I7f6+uQFBdQSX&=Mcz&84Cq9c&vWMK zR=9{gv84r_{A;s}qs&+L=y|OQP|uymSB;m4*ftrps;;!2n^h>04(cdpRv_doys1VQ zYR;!4#IDKsVSzCeHkPB5x7N2FU74CP6r!P(xO)L{G+AP!4Np2}q za+gBH1#^Wa+-6+*JS6%iWHt8NHolWk5?AXbwed|X&3i9l@cJ% z`U9HqKBtAs%=yi+&vmQ&TArESA$Q!|MP*br;H+(QhhJ<`#@s#At^zHuvlb#WS diff --git a/frontend/src/lib/constants.tsx b/frontend/src/lib/constants.tsx index 2a8b466400bdb..02761a7532378 100644 --- a/frontend/src/lib/constants.tsx +++ b/frontend/src/lib/constants.tsx @@ -205,6 +205,7 @@ export const FEATURE_FLAGS = { MULTIPLE_BREAKDOWNS: 'multiple-breakdowns', // owner: @skoob13 #team-product-analytics WEB_ANALYTICS_LIVE_USER_COUNT: 'web-analytics-live-user-count', // owner: @robbie-c SETTINGS_SESSION_TABLE_VERSION: 'settings-session-table-version', // owner: @robbie-c + INSIGHT_FUNNELS_USE_UDF: 'insight-funnels-use-udf', // owner: @aspicer #team-product-analytics FIRST_TIME_FOR_USER_MATH: 'first-time-for-user-math', // owner: @skoob13 #team-product-analytics MULTITAB_EDITOR: 'multitab-editor', // owner: @EDsCODE #team-data-warehouse WEB_ANALYTICS_REPLAY: 'web-analytics-replay', // owner: @robbie-c diff --git a/frontend/src/queries/schema.json b/frontend/src/queries/schema.json index 09bcdf2f44af1..90be24bd22c33 100644 --- a/frontend/src/queries/schema.json +++ b/frontend/src/queries/schema.json @@ -1235,6 +1235,9 @@ "description": "Generated HogQL query.", "type": "string" }, + "isUdf": { + "type": "boolean" + }, "is_cached": { "type": "boolean" }, @@ -4938,6 +4941,9 @@ "layout": { "$ref": "#/definitions/FunnelLayout", "default": "vertical" + }, + "useUdf": { + "type": "boolean" } }, "type": "object" @@ -5084,6 +5090,9 @@ "description": "Generated HogQL query.", "type": "string" }, + "isUdf": { + "type": "boolean" + }, "modifiers": { "$ref": "#/definitions/HogQLQueryModifiers", "description": "Modifiers used when performing the query" @@ -8307,6 +8316,9 @@ "description": "Generated HogQL query.", "type": "string" }, + "isUdf": { + "type": "boolean" + }, "modifiers": { "$ref": "#/definitions/HogQLQueryModifiers", "description": "Modifiers used when performing the query" diff --git a/frontend/src/queries/schema.ts b/frontend/src/queries/schema.ts index 66439691f7a80..7cb850d06cb7f 100644 --- a/frontend/src/queries/schema.ts +++ b/frontend/src/queries/schema.ts @@ -947,6 +947,7 @@ export type FunnelsFilter = { hiddenLegendBreakdowns?: string[] /** @default total */ funnelStepReference?: FunnelsFilterLegacy['funnel_step_reference'] + useUdf?: boolean } export interface FunnelsQuery extends InsightsQueryBase { @@ -973,7 +974,9 @@ export type FunnelTrendsResults = Record[] export interface FunnelsQueryResponse extends AnalyticsQueryResponseBase< FunnelStepsResults | FunnelStepsBreakdownResults | FunnelTimeToConvertResults | FunnelTrendsResults - > {} + > { + isUdf?: boolean +} export type CachedFunnelsQueryResponse = CachedQueryResponse diff --git a/posthog/hogql/constants.py b/posthog/hogql/constants.py index 557cbfd05c01e..5e64111632997 100644 --- a/posthog/hogql/constants.py +++ b/posthog/hogql/constants.py @@ -92,6 +92,8 @@ def get_breakdown_limit_for_context(limit_context: LimitContext) -> int: class HogQLQuerySettings(BaseModel): model_config = ConfigDict(extra="forbid") optimize_aggregation_in_order: Optional[bool] = None + date_time_output_format: Optional[str] = None + date_time_input_format: Optional[str] = None # Settings applied on top of all HogQL queries. diff --git a/posthog/hogql/functions/mapping.py b/posthog/hogql/functions/mapping.py index 232e99e7a064e..586eed0c4a274 100644 --- a/posthog/hogql/functions/mapping.py +++ b/posthog/hogql/functions/mapping.py @@ -470,6 +470,7 @@ def compare_types(arg_types: list[ConstantType], sig_arg_types: tuple[ConstantTy "timeStampSub": HogQLFunctionMeta("timeStampSub", 2, 2), "now": HogQLFunctionMeta("now64", 0, 1, tz_aware=True, case_sensitive=False), "nowInBlock": HogQLFunctionMeta("nowInBlock", 1, 1), + "rowNumberInBlock": HogQLFunctionMeta("rowNumberInBlock", 0, 0), "rowNumberInAllBlocks": HogQLFunctionMeta("rowNumberInAllBlocks", 0, 0), "today": HogQLFunctionMeta("today"), "yesterday": HogQLFunctionMeta("yesterday"), @@ -833,6 +834,14 @@ def compare_types(arg_types: list[ConstantType], sig_arg_types: tuple[ConstantTy "leadInFrame": HogQLFunctionMeta("leadInFrame", 1, 1), # table functions "generateSeries": HogQLFunctionMeta("generate_series", 3, 3), + ## UDFS + "aggregate_funnel": HogQLFunctionMeta("aggregate_funnel", 6, 6, aggregate=False), + "aggregate_funnel_array": HogQLFunctionMeta("aggregate_funnel_array", 6, 6, aggregate=False), + "aggregate_funnel_cohort": HogQLFunctionMeta("aggregate_funnel_cohort", 6, 6, aggregate=False), + "aggregate_funnel_trends": HogQLFunctionMeta("aggregate_funnel_trends", 7, 7, aggregate=False), + "aggregate_funnel_array_trends": HogQLFunctionMeta("aggregate_funnel_array_trends", 7, 7, aggregate=False), + "aggregate_funnel_cohort_trends": HogQLFunctionMeta("aggregate_funnel_cohort_trends", 7, 7, aggregate=False), + "aggregate_funnel_test": HogQLFunctionMeta("aggregate_funnel_test", 6, 6, aggregate=False), } # Permitted HogQL aggregations HOGQL_AGGREGATIONS: dict[str, HogQLFunctionMeta] = { @@ -884,7 +893,7 @@ def compare_types(arg_types: list[ConstantType], sig_arg_types: tuple[ConstantTy # "topKWeighted": HogQLFunctionMeta("topKWeighted", 1, 1, aggregate=True), # "topKWeightedIf": HogQLFunctionMeta("topKWeightedIf", 2, 2, aggregate=True), "groupArray": HogQLFunctionMeta("groupArray", 1, 1, aggregate=True), - # "groupArrayIf": HogQLFunctionMeta("groupArrayIf", 2, 2, aggregate=True), + "groupArrayIf": HogQLFunctionMeta("groupArrayIf", 2, 2, aggregate=True), # "groupArrayLast": HogQLFunctionMeta("groupArrayLast", 1, 1, aggregate=True), # "groupArrayLastIf": HogQLFunctionMeta("groupArrayLastIf", 2, 2, aggregate=True), "groupUniqArray": HogQLFunctionMeta("groupUniqArray", 1, 1, aggregate=True), diff --git a/posthog/hogql/transforms/test/__snapshots__/test_in_cohort.ambr b/posthog/hogql/transforms/test/__snapshots__/test_in_cohort.ambr index 369f18ab9d118..66203f817267f 100644 --- a/posthog/hogql/transforms/test/__snapshots__/test_in_cohort.ambr +++ b/posthog/hogql/transforms/test/__snapshots__/test_in_cohort.ambr @@ -31,7 +31,7 @@ FROM events LEFT JOIN ( SELECT person_static_cohort.person_id AS cohort_person_id, 1 AS matched, person_static_cohort.cohort_id AS cohort_id FROM person_static_cohort - WHERE and(equals(person_static_cohort.team_id, 420), in(person_static_cohort.cohort_id, [2]))) AS __in_cohort ON equals(__in_cohort.cohort_person_id, events.person_id) + WHERE and(equals(person_static_cohort.team_id, 420), in(person_static_cohort.cohort_id, [13]))) AS __in_cohort ON equals(__in_cohort.cohort_person_id, events.person_id) WHERE and(equals(events.team_id, 420), 1, ifNull(equals(__in_cohort.matched, 1), 0)) LIMIT 100 SETTINGS readonly=2, max_execution_time=60, allow_experimental_object_type=1, format_csv_allow_double_quotes=0, max_ast_elements=4000000, max_expanded_ast_elements=4000000, max_bytes_before_external_group_by=0 @@ -42,7 +42,7 @@ FROM events LEFT JOIN ( SELECT person_id AS cohort_person_id, 1 AS matched, cohort_id FROM static_cohort_people - WHERE in(cohort_id, [2])) AS __in_cohort ON equals(__in_cohort.cohort_person_id, person_id) + WHERE in(cohort_id, [13])) AS __in_cohort ON equals(__in_cohort.cohort_person_id, person_id) WHERE and(1, equals(__in_cohort.matched, 1)) LIMIT 100 ''' @@ -55,7 +55,7 @@ FROM events LEFT JOIN ( SELECT person_static_cohort.person_id AS cohort_person_id, 1 AS matched, person_static_cohort.cohort_id AS cohort_id FROM person_static_cohort - WHERE and(equals(person_static_cohort.team_id, 420), in(person_static_cohort.cohort_id, [3]))) AS __in_cohort ON equals(__in_cohort.cohort_person_id, events.person_id) + WHERE and(equals(person_static_cohort.team_id, 420), in(person_static_cohort.cohort_id, [14]))) AS __in_cohort ON equals(__in_cohort.cohort_person_id, events.person_id) WHERE and(equals(events.team_id, 420), 1, ifNull(equals(__in_cohort.matched, 1), 0)) LIMIT 100 SETTINGS readonly=2, max_execution_time=60, allow_experimental_object_type=1, format_csv_allow_double_quotes=0, max_ast_elements=4000000, max_expanded_ast_elements=4000000, max_bytes_before_external_group_by=0 @@ -66,7 +66,7 @@ FROM events LEFT JOIN ( SELECT person_id AS cohort_person_id, 1 AS matched, cohort_id FROM static_cohort_people - WHERE in(cohort_id, [3])) AS __in_cohort ON equals(__in_cohort.cohort_person_id, person_id) + WHERE in(cohort_id, [14])) AS __in_cohort ON equals(__in_cohort.cohort_person_id, person_id) WHERE and(1, equals(__in_cohort.matched, 1)) LIMIT 100 ''' diff --git a/posthog/hogql_queries/insights/funnels/__init__.py b/posthog/hogql_queries/insights/funnels/__init__.py index 8a20d9784df8b..787cd01ec887d 100644 --- a/posthog/hogql_queries/insights/funnels/__init__.py +++ b/posthog/hogql_queries/insights/funnels/__init__.py @@ -1,5 +1,6 @@ from .base import FunnelBase from .funnel import Funnel +from .funnel_udf import FunnelUDF from .funnel_strict import FunnelStrict from .funnel_unordered import FunnelUnordered from .funnel_time_to_convert import FunnelTimeToConvert diff --git a/posthog/hogql_queries/insights/funnels/base.py b/posthog/hogql_queries/insights/funnels/base.py index 84ddf66eafccd..d5757225246f4 100644 --- a/posthog/hogql_queries/insights/funnels/base.py +++ b/posthog/hogql_queries/insights/funnels/base.py @@ -33,6 +33,7 @@ FunnelExclusionActionsNode, FunnelTimeToConvertResults, FunnelVizType, + FunnelExclusionEventsNode, ) from posthog.types import EntityNode, ExclusionEntityNode @@ -410,6 +411,92 @@ def _get_inner_event_query( return funnel_events_query + # This version of the inner event query modifies how exclusions are returned to + # make them behave more like steps. It returns a boolean "exclusion_{0..n}" for each event + def _get_inner_event_query_for_udf( + self, + entities: list[EntityNode] | None = None, + entity_name="events", + skip_entity_filter=False, + skip_step_filter=False, + ) -> ast.SelectQuery: + query, funnelsFilter, breakdown, breakdownType, breakdownAttributionType = ( + self.context.query, + self.context.funnelsFilter, + self.context.breakdown, + self.context.breakdownType, + self.context.breakdownAttributionType, + ) + entities_to_use = entities or query.series + + extra_fields: list[str] = [] + + for prop in self.context.includeProperties: + extra_fields.append(prop) + + funnel_events_query = FunnelEventQuery( + context=self.context, + extra_fields=[*self._extra_event_fields, *extra_fields], + extra_event_properties=self._extra_event_properties, + ).to_query( + skip_entity_filter=skip_entity_filter, + ) + # funnel_events_query, params = FunnelEventQuery( + # extra_fields=[*self._extra_event_fields, *extra_fields], + # extra_event_properties=self._extra_event_properties, + # ).get_query(entities_to_use, entity_name, skip_entity_filter=skip_entity_filter) + + all_step_cols: list[ast.Expr] = [] + all_exclusions: list[list[FunnelExclusionEventsNode | FunnelExclusionActionsNode]] = [] + for index, entity in enumerate(entities_to_use): + step_cols = self._get_step_col(entity, index, entity_name) + all_step_cols.extend(step_cols) + all_exclusions.append([]) + + for excluded_entity in funnelsFilter.exclusions or []: + for i in range(excluded_entity.funnelFromStep + 1, excluded_entity.funnelToStep + 1): + all_exclusions[i].append(excluded_entity) + + for index, exclusions in enumerate(all_exclusions): + exclusion_col_expr = self._get_exclusions_col(exclusions, index, entity_name) + all_step_cols.append(exclusion_col_expr) + + breakdown_select_prop = self._get_breakdown_select_prop() + + if breakdown_select_prop: + all_step_cols.extend(breakdown_select_prop) + + funnel_events_query.select = [*funnel_events_query.select, *all_step_cols] + + if breakdown and breakdownType == BreakdownType.COHORT: + assert funnel_events_query.select_from is not None + funnel_events_query.select_from.next_join = self._get_cohort_breakdown_join() + + if not skip_step_filter: + assert isinstance(funnel_events_query.where, ast.Expr) + steps_conditions = self._get_steps_conditions_for_udf(all_exclusions, length=len(entities_to_use)) + funnel_events_query.where = ast.And(exprs=[funnel_events_query.where, steps_conditions]) + + if breakdown and breakdownAttributionType != BreakdownAttributionType.ALL_EVENTS: + # ALL_EVENTS attribution is the old default, which doesn't need the subquery + return self._add_breakdown_attribution_subquery(funnel_events_query) + + return funnel_events_query + + def _get_exclusions_col( + self, + exclusions: list[ExclusionEntityNode], + index: int, + entity_name: str, + ) -> ast.Expr: + if not exclusions: + return parse_expr(f"0 as exclusion_{index}") + + conditions = [self._build_step_query(exclusion, index, entity_name, "") for exclusion in exclusions] + return parse_expr( + f"if({{condition}}, 1, 0) as exclusion_{index}", placeholders={"condition": ast.Or(exprs=conditions)} + ) + def _get_cohort_breakdown_join(self) -> ast.JoinExpr: breakdown = self.context.breakdown @@ -547,12 +634,23 @@ def _get_steps_conditions(self, length: int) -> ast.Expr: return ast.Or(exprs=step_conditions) + def _get_steps_conditions_for_udf(self, exclusions, length: int) -> ast.Expr: + step_conditions: list[ast.Expr] = [] + + for index in range(length): + step_conditions.append(parse_expr(f"step_{index} = 1")) + if exclusions[index]: + step_conditions.append(parse_expr(f"exclusion_{index} = 1")) + + return ast.Or(exprs=step_conditions) + def _get_step_col( self, entity: EntityNode | ExclusionEntityNode, index: int, entity_name: str, step_prefix: str = "", + for_udf: bool = False, ) -> list[ast.Expr]: # step prefix is used to distinguish actual steps, and exclusion steps # without the prefix, we get the same parameter binding for both, which borks things up @@ -561,9 +659,10 @@ def _get_step_col( step_cols.append( parse_expr(f"if({{condition}}, 1, 0) as {step_prefix}step_{index}", placeholders={"condition": condition}) ) - step_cols.append( - parse_expr(f"if({step_prefix}step_{index} = 1, timestamp, null) as {step_prefix}latest_{index}") - ) + if not for_udf: + step_cols.append( + parse_expr(f"if({step_prefix}step_{index} = 1, timestamp, null) as {step_prefix}latest_{index}") + ) for field in self.extra_event_fields_and_properties: step_cols.append( diff --git a/posthog/hogql_queries/insights/funnels/funnel_query_context.py b/posthog/hogql_queries/insights/funnels/funnel_query_context.py index 8c280e272dbe3..ef6cf57af9563 100644 --- a/posthog/hogql_queries/insights/funnels/funnel_query_context.py +++ b/posthog/hogql_queries/insights/funnels/funnel_query_context.py @@ -2,7 +2,6 @@ from posthog.hogql.constants import LimitContext from posthog.hogql.timings import HogQLTimings from posthog.hogql_queries.insights.query_context import QueryContext -from posthog.models.filters.mixins.utils import cached_property from posthog.models.property.util import box_value from posthog.models.team.team import Team from posthog.schema import ( @@ -39,6 +38,8 @@ class FunnelQueryContext(QueryContext): includeProperties: list[str] includeFinalMatchingEvents: Optional[bool] + max_steps_override: int | None = None + def __init__( self, query: FunnelsQuery, @@ -105,6 +106,8 @@ def __init__( self.actorsQuery = None - @cached_property + @property def max_steps(self) -> int: + if self.max_steps_override is not None: + return self.max_steps_override return len(self.query.series) diff --git a/posthog/hogql_queries/insights/funnels/funnel_time_to_convert.py b/posthog/hogql_queries/insights/funnels/funnel_time_to_convert.py index 38600dcc1fec6..5c28697b6edab 100644 --- a/posthog/hogql_queries/insights/funnels/funnel_time_to_convert.py +++ b/posthog/hogql_queries/insights/funnels/funnel_time_to_convert.py @@ -16,7 +16,8 @@ def __init__( ): super().__init__(context) - self.funnel_order = get_funnel_order_class(self.context.funnelsFilter)(context=self.context) + # Haven't implemented calls for time_to_convert in UDF yet + self.funnel_order = get_funnel_order_class(self.context.funnelsFilter, use_udf=False)(context=self.context) def _format_results(self, results: list) -> FunnelTimeToConvertResults: return FunnelTimeToConvertResults( diff --git a/posthog/hogql_queries/insights/funnels/funnel_trends.py b/posthog/hogql_queries/insights/funnels/funnel_trends.py index ad7a67d1207d6..8bdab281147a9 100644 --- a/posthog/hogql_queries/insights/funnels/funnel_trends.py +++ b/posthog/hogql_queries/insights/funnels/funnel_trends.py @@ -120,16 +120,15 @@ def _format_single_summary(self, summary): labels.append(timestamp.strftime(HUMAN_READABLE_TIMESTAMP_FORMAT)) return {"count": count, "data": data, "days": days, "labels": labels} - def get_query(self) -> ast.SelectQuery: - team, interval, query, now = self.context.team, self.context.interval, self.context.query, self.context.now - - date_range = QueryDateRange( - date_range=query.dateRange, - team=team, - interval=query.interval, - now=now, + def _date_range(self): + return QueryDateRange( + date_range=self.context.query.dateRange, + team=self.context.team, + interval=self.context.query.interval, + now=self.context.now, ) + def get_query(self) -> ast.SelectQuery: step_counts = self.get_step_counts_without_aggregation_query() # Expects multiple rows for same person, first event time, steps taken. @@ -138,12 +137,6 @@ def get_query(self) -> ast.SelectQuery: reached_to_step_count_condition, _, ) = self.get_steps_reached_conditions() - interval_func = get_interval_func_ch(interval.value) - - if date_range.date_from() is None: - _date_from = get_earliest_timestamp(team.pk) - else: - _date_from = date_range.date_from() breakdown_clause = self._get_breakdown_prop_expr() @@ -154,52 +147,12 @@ def get_query(self) -> ast.SelectQuery: *breakdown_clause, ] - formatted_date_from = (_date_from.strftime("%Y-%m-%d %H:%M:%S"),) - formatted_date_to = (date_range.date_to().strftime("%Y-%m-%d %H:%M:%S"),) - date_from_as_hogql = ast.Call( - name="assumeNotNull", - args=[ast.Call(name="toDateTime", args=[(ast.Constant(value=formatted_date_from))])], - ) - date_to_as_hogql = ast.Call( - name="assumeNotNull", - args=[ast.Call(name="toDateTime", args=[(ast.Constant(value=formatted_date_to))])], - ) data_select_from = ast.JoinExpr(table=step_counts) data_group_by: list[ast.Expr] = [ast.Field(chain=["entrance_period_start"]), *breakdown_clause] data_query = ast.SelectQuery(select=data_select, select_from=data_select_from, group_by=data_group_by) - fill_select: list[ast.Expr] = [ - ast.Alias( - alias="entrance_period_start", - expr=ast.ArithmeticOperation( - left=get_start_of_interval_hogql(interval.value, team=team, source=date_from_as_hogql), - right=ast.Call(name=interval_func, args=[ast.Field(chain=["number"])]), - op=ast.ArithmeticOperationOp.Add, - ), - ), - ] - fill_select_from = ast.JoinExpr( - table=ast.Field(chain=["numbers"]), - table_args=[ - ast.ArithmeticOperation( - left=ast.Call( - name="dateDiff", - args=[ - ast.Constant(value=interval.value), - get_start_of_interval_hogql(interval.value, team=team, source=date_from_as_hogql), - get_start_of_interval_hogql(interval.value, team=team, source=date_to_as_hogql), - ], - ), - right=ast.Constant(value=1), - op=ast.ArithmeticOperationOp.Add, - ) - ], - alias="period_offsets", - ) - fill_query = ast.SelectQuery( - select=fill_select, - select_from=fill_select_from, - ) + fill_query = self._get_fill_query() + fill_join = ast.JoinExpr( table=data_query, alias="data", @@ -254,7 +207,7 @@ def get_query(self) -> ast.SelectQuery: ) breakdown_limit = self.get_breakdown_limit() if breakdown_limit: - limit = min(breakdown_limit * len(date_range.all_values()), limit) + limit = min(breakdown_limit * len(self._date_range().all_values()), limit) else: select = [ ast.Field(chain=["fill", "entrance_period_start"]), @@ -276,6 +229,63 @@ def get_query(self) -> ast.SelectQuery: limit=ast.Constant(value=limit), # increased limit (default 100) for hourly breakdown ) + # The fill query returns all the start_interval dates in the response + def _get_fill_query(self) -> ast.SelectQuery: + team, interval = self.context.team, self.context.interval + + date_range = self._date_range() + + if date_range.date_from() is None: + _date_from = get_earliest_timestamp(team.pk) + else: + _date_from = date_range.date_from() + + formatted_date_from = (_date_from.strftime("%Y-%m-%d %H:%M:%S"),) + formatted_date_to = (date_range.date_to().strftime("%Y-%m-%d %H:%M:%S"),) + date_from_as_hogql = ast.Call( + name="assumeNotNull", + args=[ast.Call(name="toDateTime", args=[(ast.Constant(value=formatted_date_from))])], + ) + date_to_as_hogql = ast.Call( + name="assumeNotNull", + args=[ast.Call(name="toDateTime", args=[(ast.Constant(value=formatted_date_to))])], + ) + interval_func = get_interval_func_ch(interval.value) + + fill_select: list[ast.Expr] = [ + ast.Alias( + alias="entrance_period_start", + expr=ast.ArithmeticOperation( + left=get_start_of_interval_hogql(interval.value, team=team, source=date_from_as_hogql), + right=ast.Call(name=interval_func, args=[ast.Field(chain=["number"])]), + op=ast.ArithmeticOperationOp.Add, + ), + ), + ] + fill_select_from = ast.JoinExpr( + table=ast.Field(chain=["numbers"]), + table_args=[ + ast.ArithmeticOperation( + left=ast.Call( + name="dateDiff", + args=[ + ast.Constant(value=interval.value), + get_start_of_interval_hogql(interval.value, team=team, source=date_from_as_hogql), + get_start_of_interval_hogql(interval.value, team=team, source=date_to_as_hogql), + ], + ), + right=ast.Constant(value=1), + op=ast.ArithmeticOperationOp.Add, + ) + ], + alias="period_offsets", + ) + fill_query = ast.SelectQuery( + select=fill_select, + select_from=fill_select_from, + ) + return fill_query + def get_step_counts_without_aggregation_query( self, *, specific_entrance_period_start: Optional[datetime] = None ) -> ast.SelectQuery: diff --git a/posthog/hogql_queries/insights/funnels/funnel_trends_udf.py b/posthog/hogql_queries/insights/funnels/funnel_trends_udf.py new file mode 100644 index 0000000000000..2f928e014daf4 --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/funnel_trends_udf.py @@ -0,0 +1,163 @@ +from typing import cast + +from posthog.hogql import ast +from posthog.hogql.constants import HogQLQuerySettings +from posthog.hogql.parser import parse_select +from posthog.hogql_queries.insights.funnels import FunnelTrends +from posthog.hogql_queries.insights.utils.utils import get_start_of_interval_hogql_str +from posthog.schema import BreakdownType, BreakdownAttributionType +from posthog.utils import DATERANGE_MAP + +TIMESTAMP_FORMAT = "%Y-%m-%d %H:%M:%S" +HUMAN_READABLE_TIMESTAMP_FORMAT = "%-d-%b-%Y" + + +class FunnelTrendsUDF(FunnelTrends): + def get_step_counts_query(self): + max_steps = self.context.max_steps + return self._get_step_counts_query( + outer_select=[ + *self._get_matching_event_arrays(max_steps), + ], + inner_select=[ + *self._get_matching_events(max_steps), + ], + ) + + def conversion_window_limit(self) -> int: + return int( + self.context.funnelWindowInterval * DATERANGE_MAP[self.context.funnelWindowIntervalUnit].total_seconds() + ) + + def get_query(self) -> ast.SelectQuery: + # If they're asking for a "to_step" just truncate the funnel + funnelsFilter = self.context.funnelsFilter + max_steps = self.context.max_steps if funnelsFilter.funnelToStep is None else funnelsFilter.funnelToStep + 1 + self.context.max_steps_override = max_steps + + if self.context.funnelsFilter.funnelOrderType == "strict": + inner_event_query = self._get_inner_event_query_for_udf( + entity_name="events", skip_step_filter=True, skip_entity_filter=True + ) + else: + inner_event_query = self._get_inner_event_query_for_udf(entity_name="events") + + default_breakdown_selector = "[]" if self._query_has_array_breakdown() else "''" + + # stores the steps as an array of integers from 1 to max_steps + # so if the event could be step_0, step_1 or step_4, it looks like [1,2,0,0,5] + + # Each event is going to be a set of steps or it's going to be a set of exclusions. It can't be both. + steps = ",".join([f"{i + 1} * step_{i}" for i in range(self.context.max_steps)]) + + # this will error if they put in a bad exclusion + exclusions = "" + if getattr(self.context.funnelsFilter, "exclusions", None): + exclusions = "".join([f",-{i + 1} * exclusion_{i}" for i in range(1, self.context.max_steps)]) + + # Todo: Make this work for breakdowns + if self.context.breakdownType == BreakdownType.COHORT: + fn = "aggregate_funnel_cohort_trends" + breakdown_prop = ", prop" + elif self._query_has_array_breakdown(): + fn = "aggregate_funnel_array_trends" + breakdown_prop = "" + else: + fn = "aggregate_funnel_trends" + breakdown_prop = "" + + prop_selector = "prop" if self.context.breakdown else default_breakdown_selector + prop_vals = "groupUniqArray(prop)" if self.context.breakdown else f"[{default_breakdown_selector}]" + + breakdown_attribution_string = f"{self.context.breakdownAttributionType}{f'_{self.context.funnelsFilter.breakdownAttributionValue}' if self.context.breakdownAttributionType == BreakdownAttributionType.STEP else ''}" + + from_step = funnelsFilter.funnelFromStep or 0 + + inner_select = cast( + ast.SelectQuery, + parse_select( + f""" + SELECT + arrayJoin({fn}( + {from_step}, + {max_steps}, + {self.conversion_window_limit()}, + '{breakdown_attribution_string}', + '{self.context.funnelsFilter.funnelOrderType}', + {prop_vals}, + arraySort(t -> t.1, groupArray(tuple(toFloat(timestamp), {get_start_of_interval_hogql_str(self.context.interval.value, team=self.context.team, source='timestamp')}, {prop_selector}, arrayFilter((x) -> x != 0, [{steps}{exclusions}])))) + )) as af_tuple, + toTimeZone(af_tuple.1, '{self.context.team.timezone}') as entrance_period_start, + af_tuple.2 as success_bool, + af_tuple.3 as breakdown + FROM {{inner_event_query}} + GROUP BY aggregation_target{breakdown_prop} + """, + {"inner_event_query": inner_event_query}, + ), + ) + # This is necessary so clickhouse doesn't truncate timezone information when passing datetimes to and from python + inner_select.settings = HogQLQuerySettings(date_time_output_format="iso", date_time_input_format="best_effort") + + conversion_rate_expr = ( + "if(reached_from_step_count > 0, round(reached_to_step_count / reached_from_step_count * 100, 2), 0)" + ) + + fill_query = self._get_fill_query() + + limit = 1_000 + if self.context.breakdown: + breakdown_limit = self.get_breakdown_limit() + if breakdown_limit: + limit = min(breakdown_limit * len(self._date_range().all_values()), limit) + + s = parse_select( + f""" + SELECT + fill.entrance_period_start AS entrance_period_start, + sumIf(data.reached_from_step_count, ifNull(equals(fill.entrance_period_start, data.entrance_period_start), isNull(fill.entrance_period_start) and isNull(data.entrance_period_start))) AS reached_from_step_count, + sumIf(data.reached_to_step_count, ifNull(equals(fill.entrance_period_start, data.entrance_period_start), isNull(fill.entrance_period_start) and isNull(data.entrance_period_start))) AS reached_to_step_count, + if(ifNull(greater(reached_from_step_count, 0), 0), round(multiply(divide(reached_to_step_count, reached_from_step_count), 100), 2), 0) AS conversion_rate, + data.prop AS prop + FROM + ({{fill_query}}) as fill + CROSS JOIN (SELECT + entrance_period_start as entrance_period_start, + countIf(success_bool != 0) as reached_from_step_count, + countIf(success_bool = 1) as reached_to_step_count, + breakdown as prop + FROM + ({{inner_select}}) + GROUP BY entrance_period_start, breakdown) as data + GROUP BY + fill.entrance_period_start, + data.prop + ORDER BY + sum(reached_from_step_count) OVER (PARTITION BY data.prop) DESC, + data.prop DESC, + fill.entrance_period_start ASC + LIMIT {limit} + """, + {"fill_query": fill_query, "inner_select": inner_select}, + ) + else: + s = parse_select( + f""" + SELECT + fill.entrance_period_start as entrance_period_start, + countIf(success_bool != 0) as reached_from_step_count, + countIf(success_bool = 1) as reached_to_step_count, + {conversion_rate_expr} as conversion_rate, + breakdown as prop + FROM + ({{inner_select}}) as data + RIGHT OUTER JOIN + ({{fill_query}}) as fill + ON data.entrance_period_start = fill.entrance_period_start + GROUP BY entrance_period_start, data.breakdown + ORDER BY entrance_period_start + LIMIT {limit} + """, + {"fill_query": fill_query, "inner_select": inner_select}, + ) + return cast(ast.SelectQuery, s) diff --git a/posthog/hogql_queries/insights/funnels/funnel_udf.py b/posthog/hogql_queries/insights/funnels/funnel_udf.py new file mode 100644 index 0000000000000..7ec91374dcdee --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/funnel_udf.py @@ -0,0 +1,184 @@ +from typing import cast + +from posthog.hogql import ast +from posthog.hogql.parser import parse_select +from posthog.hogql_queries.insights.funnels.base import FunnelBase +from posthog.schema import BreakdownType, BreakdownAttributionType +from posthog.utils import DATERANGE_MAP + +TIMESTAMP_FORMAT = "%Y-%m-%d %H:%M:%S" +HUMAN_READABLE_TIMESTAMP_FORMAT = "%-d-%b-%Y" + + +class FunnelUDF(FunnelBase): + def get_step_counts_query(self): + max_steps = self.context.max_steps + return self._get_step_counts_query( + outer_select=[ + *self._get_matching_event_arrays(max_steps), + ], + inner_select=[ + *self._get_matching_events(max_steps), + ], + ) + + def conversion_window_limit(self) -> int: + return int( + self.context.funnelWindowInterval * DATERANGE_MAP[self.context.funnelWindowIntervalUnit].total_seconds() + ) + + def get_query(self) -> ast.SelectQuery: + if self.context.funnelsFilter.funnelOrderType == "strict": + inner_event_query = self._get_inner_event_query_for_udf( + entity_name="events", skip_step_filter=True, skip_entity_filter=True + ) + else: + inner_event_query = self._get_inner_event_query_for_udf(entity_name="events") + + default_breakdown_selector = "[]" if self._query_has_array_breakdown() else "''" + + # stores the steps as an array of integers from 1 to max_steps + # so if the event could be step_0, step_1 or step_4, it looks like [1,2,0,0,5] + + # Each event is going to be a set of steps or it's going to be a set of exclusions. It can't be both. + steps = ",".join([f"{i + 1} * step_{i}" for i in range(self.context.max_steps)]) + + # this will error if they put in a bad exclusion + exclusions = "" + if getattr(self.context.funnelsFilter, "exclusions", None): + exclusions = "".join([f",-{i + 1} * exclusion_{i}" for i in range(1, self.context.max_steps)]) + + if self.context.breakdownType == BreakdownType.COHORT: + fn = "aggregate_funnel_cohort" + breakdown_prop = ", prop" + elif self._query_has_array_breakdown(): + fn = "aggregate_funnel_array" + breakdown_prop = "" + else: + fn = "aggregate_funnel" + breakdown_prop = "" + + prop_selector = "prop" if self.context.breakdown else default_breakdown_selector + prop_vals = "groupUniqArray(prop)" if self.context.breakdown else f"[{default_breakdown_selector}]" + + breakdown_attribution_string = f"{self.context.breakdownAttributionType}{f'_{self.context.funnelsFilter.breakdownAttributionValue}' if self.context.breakdownAttributionType == BreakdownAttributionType.STEP else ''}" + + # test + ''' + inner_select = parse_select( + f""" + SELECT + arrayJoin({fn}( + {self.context.max_steps}, + {self.conversion_window_limit()}, + '{breakdown_attribution_string}', + '{self.context.funnelsFilter.funnelOrderType}', + {prop_vals}, + arraySort(t -> t.1, groupArray(tuple(toFloat(timestamp), {prop_selector}, arrayFilter((x) -> x != 0, [{steps}{exclusions}])))) + )) as af_tuple, + af_tuple.1 as af, + af_tuple.2 as breakdown, + af_tuple.3 as timings + FROM {{inner_event_query}} + GROUP BY aggregation_target{breakdown_prop} + HAVING af >= 0 + """, + {"inner_event_query": inner_event_query}, + ) + return inner_select + ''' + + inner_select = parse_select( + f""" + SELECT + arrayJoin({fn}( + {self.context.max_steps}, + {self.conversion_window_limit()}, + '{breakdown_attribution_string}', + '{self.context.funnelsFilter.funnelOrderType}', + {prop_vals}, + arraySort(t -> t.1, groupArray(tuple(toFloat(timestamp), {prop_selector}, arrayFilter((x) -> x != 0, [{steps}{exclusions}])))) + )) as af_tuple, + af_tuple.1 as af, + af_tuple.2 as breakdown, + af_tuple.3 as timings + FROM {{inner_event_query}} + GROUP BY aggregation_target{breakdown_prop} + HAVING af >= 0 + """, + {"inner_event_query": inner_event_query}, + ) + + step_results = ",".join( + [f"countIf(ifNull(equals(af, {i}), 0)) AS step_{i+1}" for i in range(self.context.max_steps)] + ) + step_results2 = ",".join([f"sum(step_{i+1}) AS step_{i+1}" for i in range(self.context.max_steps)]) + + conversion_time_arrays = ",".join( + [ + f"groupArrayIf(timings[{i}], timings[{i}] > 0) AS step_{i}_conversion_times" + for i in range(1, self.context.max_steps) + ] + ) + + order_by = ",".join([f"step_{i+1} DESC" for i in reversed(range(self.context.max_steps))]) + + other_aggregation = "['Other']" if self._query_has_array_breakdown() else "'Other'" + + use_breakdown_limit = self.context.breakdown and self.context.breakdownType in [ + BreakdownType.PERSON, + BreakdownType.EVENT, + BreakdownType.GROUP, + ] + + final_prop = ( + f"if(row_number < {self.get_breakdown_limit()}, breakdown, {other_aggregation})" + if use_breakdown_limit + else "breakdown" + ) + + s = parse_select( + f""" + SELECT + {step_results}, + {conversion_time_arrays}, + rowNumberInBlock() as row_number, + {final_prop} as final_prop + FROM + {{inner_select}} + GROUP BY breakdown + ORDER BY {order_by} + """, + {"inner_select": inner_select}, + ) + + mean_conversion_times = ",".join( + [ + f"arrayMap(x -> if(isNaN(x), NULL, x), [avgArray(step_{i}_conversion_times)])[1] AS step_{i}_average_conversion_time" + for i in range(1, self.context.max_steps) + ] + ) + median_conversion_times = ",".join( + [ + f"arrayMap(x -> if(isNaN(x), NULL, x), [medianArray(step_{i}_conversion_times)])[1] AS step_{i}_median_conversion_time" + for i in range(1, self.context.max_steps) + ] + ) + + # Weird: unless you reference row_number in this outer block, it doesn't work correctly + s = parse_select( + f""" + SELECT + {step_results2}, + {mean_conversion_times}, + {median_conversion_times}, + groupArray(row_number) as row_number, + final_prop + FROM + {{s}} + GROUP BY final_prop + """, + {"s": s}, + ) + + return cast(ast.SelectQuery, s) diff --git a/posthog/hogql_queries/insights/funnels/funnels_query_runner.py b/posthog/hogql_queries/insights/funnels/funnels_query_runner.py index 08c64720a4f9d..ca10680f9f6a1 100644 --- a/posthog/hogql_queries/insights/funnels/funnels_query_runner.py +++ b/posthog/hogql_queries/insights/funnels/funnels_query_runner.py @@ -17,7 +17,9 @@ from posthog.hogql_queries.insights.funnels.funnel_query_context import FunnelQueryContext from posthog.hogql_queries.insights.funnels.funnel_time_to_convert import FunnelTimeToConvert from posthog.hogql_queries.insights.funnels.funnel_trends import FunnelTrends +from posthog.hogql_queries.insights.funnels.funnel_trends_udf import FunnelTrendsUDF from posthog.hogql_queries.insights.funnels.utils import get_funnel_actor_class, get_funnel_order_class +from posthog.hogql_queries.legacy_compatibility.feature_flag import insight_funnels_use_udf from posthog.hogql_queries.query_runner import QueryRunner from posthog.hogql_queries.utils.query_date_range import QueryDateRange from posthog.models import Team @@ -28,6 +30,7 @@ FunnelsQuery, FunnelsQueryResponse, HogQLQueryModifiers, + StepOrderValue, ) @@ -102,18 +105,28 @@ def calculate(self): if response.timings is not None: timings.extend(response.timings) - return FunnelsQueryResponse(results=results, timings=timings, hogql=hogql, modifiers=self.modifiers) + return FunnelsQueryResponse( + isUdf=self._use_udf, results=results, timings=timings, hogql=hogql, modifiers=self.modifiers + ) + + @cached_property + def _use_udf(self): + return self.context.funnelsFilter.useUdf or insight_funnels_use_udf(self.team) @cached_property def funnel_order_class(self): - return get_funnel_order_class(self.context.funnelsFilter)(context=self.context) + return get_funnel_order_class(self.context.funnelsFilter, use_udf=self._use_udf)(context=self.context) @cached_property def funnel_class(self): funnelVizType = self.context.funnelsFilter.funnelVizType if funnelVizType == FunnelVizType.TRENDS: - return FunnelTrends(context=self.context, **self.kwargs) + return ( + FunnelTrendsUDF(context=self.context, **self.kwargs) + if self._use_udf and self.context.funnelsFilter.funnelOrderType != StepOrderValue.UNORDERED + else FunnelTrends(context=self.context, **self.kwargs) + ) elif funnelVizType == FunnelVizType.TIME_TO_CONVERT: return FunnelTimeToConvert(context=self.context) else: diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_breakdowns_by_current_url.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_breakdowns_by_current_url.ambr deleted file mode 100644 index 142118fb7056f..0000000000000 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_breakdowns_by_current_url.ambr +++ /dev/null @@ -1,213 +0,0 @@ -# serializer version: 1 -# name: TestBreakdownsByCurrentURL.test_breakdown_by_current_url - ''' - SELECT [if(empty(replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', ''))] AS value, - count(*) AS count - FROM events AS e - INNER JOIN - (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, - person_distinct_id2.distinct_id AS distinct_id - FROM person_distinct_id2 - WHERE equals(person_distinct_id2.team_id, 2) - GROUP BY person_distinct_id2.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0)) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) - WHERE and(equals(e.team_id, 2), in(e.event, tuple('terminate funnel', 'watched movie')), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), notEmpty(e__pdi.person_id)) - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 101 - OFFSET 0 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1 - ''' -# --- -# name: TestBreakdownsByCurrentURL.test_breakdown_by_current_url.1 - ''' - SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - avg(step_1_average_conversion_time_inner) AS step_1_average_conversion_time, - median(step_1_median_conversion_time_inner) AS step_1_median_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, - median(step_1_conversion_time) AS step_1_median_conversion_time_inner, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(latest_0, toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(latest_0, toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, - if(has([['https://example.com/home'], ['https://example.com'], ['/']], prop), prop, ['Other']) AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e__pdi.person_id AS aggregation_target, - if(equals(e.event, 'watched movie'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'terminate funnel'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [if(empty(replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', ''))] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - INNER JOIN - (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, - person_distinct_id2.distinct_id AS distinct_id - FROM person_distinct_id2 - WHERE equals(person_distinct_id2.team_id, 2) - GROUP BY person_distinct_id2.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0)) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) - WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('terminate funnel', 'watched movie'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max_steps), isNull(steps) - and isNull(max_steps))) - GROUP BY prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1 - ''' -# --- -# name: TestBreakdownsByCurrentURL.test_breakdown_by_pathname - ''' - SELECT [if(empty(replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', ''))] AS value, - count(*) AS count - FROM events AS e - INNER JOIN - (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, - person_distinct_id2.distinct_id AS distinct_id - FROM person_distinct_id2 - WHERE equals(person_distinct_id2.team_id, 2) - GROUP BY person_distinct_id2.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0)) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) - WHERE and(equals(e.team_id, 2), in(e.event, tuple('terminate funnel', 'watched movie')), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), notEmpty(e__pdi.person_id)) - GROUP BY value - ORDER BY count DESC, value DESC - LIMIT 101 - OFFSET 0 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1 - ''' -# --- -# name: TestBreakdownsByCurrentURL.test_breakdown_by_pathname.1 - ''' - SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, - countIf(ifNull(equals(steps, 2), 0)) AS step_2, - avg(step_1_average_conversion_time_inner) AS step_1_average_conversion_time, - median(step_1_median_conversion_time_inner) AS step_1_median_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, - median(step_1_conversion_time) AS step_1_median_conversion_time_inner, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - steps AS steps, - prop AS prop, - max(steps) OVER (PARTITION BY aggregation_target, - prop) AS max_steps, - step_1_conversion_time AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop AS prop, - if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(latest_0, toIntervalDay(14))), 0)), 2, 1) AS steps, - if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(latest_0, toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, - prop AS prop - FROM - (SELECT aggregation_target AS aggregation_target, - timestamp AS timestamp, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - min(latest_1) OVER (PARTITION BY aggregation_target, - prop - ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, - if(has([['/'], ['/home']], prop), prop, ['Other']) AS prop - FROM - (SELECT timestamp AS timestamp, - aggregation_target AS aggregation_target, - step_0 AS step_0, - latest_0 AS latest_0, - step_1 AS step_1, - latest_1 AS latest_1, - prop_basic AS prop_basic, - prop, - prop_vals AS prop_vals, - if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop - FROM - (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, - e__pdi.person_id AS aggregation_target, - if(equals(e.event, 'watched movie'), 1, 0) AS step_0, - if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, - if(equals(e.event, 'terminate funnel'), 1, 0) AS step_1, - if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, - [if(empty(replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', '')), '/', replaceRegexpOne(ifNull(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$pathname'), ''), 'null'), '^"|"$', ''), ''), '[\\/?#]*$', ''))] AS prop_basic, - prop_basic AS prop, - argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals - FROM events AS e - INNER JOIN - (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, - person_distinct_id2.distinct_id AS distinct_id - FROM person_distinct_id2 - WHERE equals(person_distinct_id2.team_id, 2) - GROUP BY person_distinct_id2.distinct_id - HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0)) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) - WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-02 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-12 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('terminate funnel', 'watched movie'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))))) - WHERE ifNull(equals(step_0, 1), 0))) - GROUP BY aggregation_target, - steps, - prop - HAVING ifNull(equals(steps, max_steps), isNull(steps) - and isNull(max_steps))) - GROUP BY prop - LIMIT 100 SETTINGS readonly=2, - max_execution_time=60, - allow_experimental_object_type=1 - ''' -# --- diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr index 7e7d0e0586b32..8e77766f6667d 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict.ambr @@ -1,4 +1,1131 @@ # serializer version: 1 +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop_0 AS prop_0, + prop_1 AS prop_1, + prop, + prop_vals AS prop_vals, + prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, + if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, + prop_1 AS prop, + groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY + JOIN prop_vals AS prop + WHERE ifNull(notEquals(prop, []), isNotNull(prop) + or isNotNull([])))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'buy'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- # name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen ''' SELECT sum(step_1) AS step_1, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr new file mode 100644 index 0000000000000..837c953bc93f5 --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_strict_udf.ambr @@ -0,0 +1,2066 @@ +# serializer version: 1 +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop_0 AS prop_0, + prop_1 AS prop_1, + prop, + prop_vals AS prop_vals, + prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, + if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, + prop_1 AS prop, + groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY + JOIN prop_vals AS prop + WHERE ifNull(notEquals(prop, []), isNotNull(prop) + or isNotNull([])))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, ['Other']) AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_2 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'buy'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + if(isNaN(avgArrayOrNull(step_1_conversion_time_array) AS inter_1_conversion), NULL, inter_1_conversion) AS step_1_average_conversion_time, + if(isNaN(avgArrayOrNull(step_2_conversion_time_array) AS inter_2_conversion), NULL, inter_2_conversion) AS step_2_average_conversion_time, + if(isNaN(medianArrayOrNull(step_1_conversion_time_array) AS inter_1_median), NULL, inter_1_median) AS step_1_median_conversion_time, + if(isNaN(medianArrayOrNull(step_2_conversion_time_array) AS inter_2_median), NULL, inter_2_median) AS step_2_median_conversion_time, + if(ifNull(less(row_number, 26), 0), prop, 'Other') AS final_prop + FROM + (SELECT countIf(ifNull(equals(steps, 1), 0)) AS step_1, + countIf(ifNull(equals(steps, 2), 0)) AS step_2, + countIf(ifNull(equals(steps, 3), 0)) AS step_3, + groupArray(step_1_conversion_time) AS step_1_conversion_time_array, + groupArray(step_2_conversion_time) AS step_2_conversion_time_array, + prop AS prop, + row_number() OVER ( + ORDER BY step_3 DESC) AS row_number + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + prop AS prop, + min(step_1_conversion_time) AS step_1_conversion_time, + min(step_2_conversion_time) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + prop AS prop, + max(steps) OVER (PARTITION BY aggregation_target, + prop) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time, + prop AS prop + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop AS prop, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) AS latest_2, + prop AS prop + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps, + prop + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + GROUP BY prop) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: BaseTestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelStrictStepsBreakdown.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'step_1', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop_0 AS prop_0, + prop_1 AS prop_1, + prop, + prop_vals AS prop_vals, + prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, + if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, + prop_1 AS prop, + groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))))) ARRAY + JOIN prop_vals AS prop + WHERE ifNull(notEquals(prop, []), isNotNull(prop) + or isNotNull([]))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelStrictStepsBreakdown.test_funnel_step_multiple_breakdown_snapshot + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'buy'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'strict', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC')))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.1 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.2 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.3 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.4 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.5 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.6 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.7 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestStrictFunnelGroupBreakdown.test_funnel_breakdown_group.8 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner, + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time, + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps, + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN 2 PRECEDING AND 2 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (1=1) ))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends.ambr index 7267c85d00c1b..cfbc8d8a68362 100644 --- a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends.ambr +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends.ambr @@ -1,4 +1,366 @@ # serializer version: 1 +# name: BaseTestFunnelTrends.test_timezones_trends + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')))), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfDay(timestamp) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_timezones_trends.1 + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'US/Pacific')))), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfDay(timestamp) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'US/Pacific') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'US/Pacific')), lessOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'US/Pacific'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_week_interval + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toIntervalWeek(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('week', toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')), 0)), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfWeek(timestamp, 0) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_week_interval.1 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + toStartOfWeek(toTimeZone(toDateTime(timestamp, 'UTC'), 'UTC'), 0) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'step one', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'step two', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'step three', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2 + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) )))) + WHERE step_0 = 1 ) + WHERE toDateTime(entrance_period_start) = '2021-04-25 00:00:00' + GROUP BY aggregation_target, + entrance_period_start) + WHERE steps_completed >= 3 + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- # name: TestFunnelTrends.test_timezones_trends ''' SELECT fill.entrance_period_start AS entrance_period_start, diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends_udf.ambr new file mode 100644 index 0000000000000..0c52cf349a36b --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_trends_udf.ambr @@ -0,0 +1,602 @@ +# serializer version: 1 +# name: BaseTestFunnelTrends.test_timezones_trends + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')))), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfDay(timestamp) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_timezones_trends.1 + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'US/Pacific')))), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfDay(timestamp) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'US/Pacific') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'US/Pacific')), lessOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'US/Pacific'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_week_interval + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + data.reached_from_step_count AS reached_from_step_count, + data.reached_to_step_count AS reached_to_step_count, + if(ifNull(greater(data.reached_from_step_count, 0), 0), round(multiply(divide(data.reached_to_step_count, data.reached_from_step_count), 100), 2), 0) AS conversion_rate + FROM + (SELECT plus(toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toIntervalWeek(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('week', toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')), 0)), 1)) AS period_offsets) AS fill + LEFT OUTER JOIN + (SELECT entrance_period_start AS entrance_period_start, + countIf(ifNull(greaterOrEquals(steps_completed, 1), 0)) AS reached_from_step_count, + countIf(ifNull(greaterOrEquals(steps_completed, 3), 0)) AS reached_to_step_count + FROM + (SELECT aggregation_target AS aggregation_target, + toStartOfWeek(timestamp, 0) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0)) + GROUP BY aggregation_target, + entrance_period_start) + GROUP BY entrance_period_start) AS data ON equals(data.entrance_period_start, fill.entrance_period_start) + ORDER BY fill.entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: BaseTestFunnelTrends.test_week_interval.1 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + toStartOfWeek(toTimeZone(toDateTime(timestamp, 'UTC'), 'UTC'), 0) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'step one', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'step two', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'step three', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2 + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) )))) + WHERE step_0 = 1 ) + WHERE toDateTime(entrance_period_start) = '2021-04-25 00:00:00' + GROUP BY aggregation_target, + entrance_period_start) + WHERE steps_completed >= 3 + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestFunnelTrendsUDF.test_timezones_trends + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + countIf(ifNull(notEquals(data.success_bool, 0), 1)) AS reached_from_step_count, + countIf(ifNull(equals(data.success_bool, 1), 0)) AS reached_to_step_count, + if(ifNull(greater(reached_from_step_count, 0), 0), round(multiply(divide(reached_to_step_count, reached_from_step_count), 100), 2), 0) AS conversion_rate, + data.breakdown AS prop + FROM + (SELECT arrayJoin(aggregate_funnel_array_trends(0, 3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), toStartOfDay(timestamp), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + toTimeZone(af_tuple.1, 'UTC') AS entrance_period_start, + af_tuple.2 AS success_bool, + af_tuple.3 AS breakdown + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target SETTINGS date_time_output_format='iso', + date_time_input_format='best_effort') AS data + RIGHT OUTER JOIN + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'UTC'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')))), 1)) AS period_offsets) AS fill ON equals(data.entrance_period_start, fill.entrance_period_start) + GROUP BY entrance_period_start, + data.breakdown + ORDER BY entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelTrendsUDF.test_timezones_trends.1 + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + countIf(ifNull(notEquals(data.success_bool, 0), 1)) AS reached_from_step_count, + countIf(ifNull(equals(data.success_bool, 1), 0)) AS reached_to_step_count, + if(ifNull(greater(reached_from_step_count, 0), 0), round(multiply(divide(reached_to_step_count, reached_from_step_count), 100), 2), 0) AS conversion_rate, + data.breakdown AS prop + FROM + (SELECT arrayJoin(aggregate_funnel_array_trends(0, 3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), toStartOfDay(timestamp), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + toTimeZone(af_tuple.1, 'US/Pacific') AS entrance_period_start, + af_tuple.2 AS success_bool, + af_tuple.3 AS breakdown + FROM + (SELECT toTimeZone(e.timestamp, 'US/Pacific') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-04-30 00:00:00.000000', 6, 'US/Pacific')), lessOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'US/Pacific'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target SETTINGS date_time_output_format='iso', + date_time_input_format='best_effort') AS data + RIGHT OUTER JOIN + (SELECT plus(toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toIntervalDay(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('day', toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-04-30 00:00:00'), 6, 'US/Pacific'))), toStartOfDay(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'US/Pacific')))), 1)) AS period_offsets) AS fill ON equals(data.entrance_period_start, fill.entrance_period_start) + GROUP BY entrance_period_start, + data.breakdown + ORDER BY entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelTrendsUDF.test_week_interval + ''' + SELECT fill.entrance_period_start AS entrance_period_start, + countIf(ifNull(notEquals(data.success_bool, 0), 1)) AS reached_from_step_count, + countIf(ifNull(equals(data.success_bool, 1), 0)) AS reached_to_step_count, + if(ifNull(greater(reached_from_step_count, 0), 0), round(multiply(divide(reached_to_step_count, reached_from_step_count), 100), 2), 0) AS conversion_rate, + data.breakdown AS prop + FROM + (SELECT arrayJoin(aggregate_funnel_array_trends(0, 3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), toStartOfWeek(timestamp, 0), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + toTimeZone(af_tuple.1, 'UTC') AS entrance_period_start, + af_tuple.2 AS success_bool, + af_tuple.3 AS breakdown + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-07 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target SETTINGS date_time_output_format='iso', + date_time_input_format='best_effort') AS data + RIGHT OUTER JOIN + (SELECT plus(toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toIntervalWeek(period_offsets.number)) AS entrance_period_start + FROM numbers(plus(dateDiff('week', toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-01 00:00:00'), 6, 'UTC')), 0), toStartOfWeek(assumeNotNull(parseDateTime64BestEffortOrNull(('2021-05-07 23:59:59'), 6, 'UTC')), 0)), 1)) AS period_offsets) AS fill ON equals(data.entrance_period_start, fill.entrance_period_start) + GROUP BY entrance_period_start, + data.breakdown + ORDER BY entrance_period_start ASC + LIMIT 1000 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelTrendsUDF.test_week_interval.1 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + toStartOfWeek(toTimeZone(toDateTime(timestamp, 'UTC'), 'UTC'), 0) AS entrance_period_start, + max(steps) AS steps_completed + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'step one', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'step two', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'step three', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2 + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + WHERE team_id = 2 + AND event IN ['step one', 'step three', 'step two'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2021-05-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2021-05-07 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) )))) + WHERE step_0 = 1 ) + WHERE toDateTime(entrance_period_start) = '2021-04-25 00:00:00' + GROUP BY aggregation_target, + entrance_period_start) + WHERE steps_completed >= 3 + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- diff --git a/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr new file mode 100644 index 0000000000000..e8487d4a42a9e --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/__snapshots__/test_funnel_udf.ambr @@ -0,0 +1,1887 @@ +# serializer version: 1 +# name: TestFOSSFunnelUDF.test_funnel_conversion_window_seconds + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(3, 15, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-14 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_conversion_window_seconds.1 + ''' + SELECT persons.id, + persons.id AS id, + persons.created_at AS created_at, + 1 + FROM + (SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, + avg(step_2_conversion_time) AS step_2_average_conversion_time_inner, + median(step_1_conversion_time) AS step_1_median_conversion_time_inner, + median(step_2_conversion_time) AS step_2_median_conversion_time_inner + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + max(steps) OVER (PARTITION BY aggregation_target) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalSecond(15))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalSecond(15))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalSecond(15))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalSecond(15))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalSecond(15))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'step one'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'step two'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'step three'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2021-05-14 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('step one', 'step three', 'step two'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + WHERE ifNull(in(steps, [2, 3]), 0) + ORDER BY aggregation_target ASC) AS source + INNER JOIN + (SELECT argMax(toTimeZone(person.created_at, 'UTC'), person.version) AS created_at, + person.id AS id + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)) SETTINGS optimize_aggregation_in_order=1) AS persons ON equals(persons.id, source.actor_id) + ORDER BY persons.created_at DESC + LIMIT 101 + OFFSET 0 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=0, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_events_with_person_on_events_v2 + ''' + + SELECT DISTINCT person_id + FROM events + WHERE team_id = 2 + AND distinct_id = 'stopped_after_pay' + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_events_with_person_on_events_v2.1 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + if(not(empty(e__override.distinct_id)), e__override.person_id, e.person_id) AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, '$autocapture'), match(e.elements_chain, '(^|;)button(\\.|$|;|:)'), arrayExists(x -> ifNull(equals(x, 'Pay $10'), 0), e.elements_chain_texts)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(and(equals(e.event, '$autocapture'), match(e.elements_chain, '(^|;)a(\\.|$|;|:)'), equals(e.elements_chain_href, '/movie')), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + LEFT OUTER JOIN + (SELECT argMax(person_distinct_id_overrides.person_id, person_distinct_id_overrides.version) AS person_id, + person_distinct_id_overrides.distinct_id AS distinct_id + FROM person_distinct_id_overrides + WHERE equals(person_distinct_id_overrides.team_id, 2) + GROUP BY person_distinct_id_overrides.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id_overrides.is_deleted, person_distinct_id_overrides.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__override ON equals(e.distinct_id, e__override.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2011-12-25 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2012-01-01 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('$autocapture', 'user signed up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_precalculated_cohort_step_filter + ''' + + SELECT count(DISTINCT person_id) + FROM cohortpeople + WHERE team_id = 2 + AND cohort_id = 2 + AND version = NULL + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_precalculated_cohort_step_filter.1 + ''' + /* cohort_calculation: */ + SELECT count(DISTINCT person_id) + FROM cohortpeople + WHERE team_id = 2 + AND cohort_id = 2 + AND version = 0 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_precalculated_cohort_step_filter.2 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(and(equals(e.event, 'user signed up'), ifNull(in(e__pdi.person_id, + (SELECT cohortpeople.person_id AS person_id + FROM cohortpeople + WHERE and(equals(cohortpeople.team_id, 2), equals(cohortpeople.cohort_id, 2), equals(cohortpeople.version, 0)))), 0)), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'paid'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-14 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('paid', 'user signed up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_property_groups + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(3, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha.com'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha2.com'), 0)), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS e__pdi___person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + INNER JOIN + (SELECT person.id AS id, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'email'), ''), 'null'), '^"|"$', '') AS properties___email, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'age'), ''), 'null'), '^"|"$', '') AS properties___age + FROM person + WHERE and(equals(person.team_id, 2), ifNull(in(tuple(person.id, person.version), + (SELECT person.id AS id, max(person.version) AS version + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)))), 0)) SETTINGS optimize_aggregation_in_order=1) AS e__pdi__person ON equals(e__pdi.e__pdi___person_id, e__pdi__person.id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-07-01 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('$pageview', 'user signed up')), or(and(ifNull(ilike(e__pdi__person.properties___email, '%.com%'), 0), ifNull(equals(e__pdi__person.properties___age, '20'), 0)), or(ifNull(ilike(e__pdi__person.properties___email, '%.org%'), 0), ifNull(equals(e__pdi__person.properties___age, '28'), 0)))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_property_groups.1 + ''' + SELECT persons.id, + persons.id AS id, + persons.created_at AS created_at, + 1 + FROM + (SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, + avg(step_2_conversion_time) AS step_2_average_conversion_time_inner, + median(step_1_conversion_time) AS step_1_median_conversion_time_inner, + median(step_2_conversion_time) AS step_2_median_conversion_time_inner + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + max(steps) OVER (PARTITION BY aggregation_target) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha.com'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha2.com'), 0)), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS e__pdi___person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + INNER JOIN + (SELECT person.id AS id, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'email'), ''), 'null'), '^"|"$', '') AS properties___email, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'age'), ''), 'null'), '^"|"$', '') AS properties___age + FROM person + WHERE and(equals(person.team_id, 2), ifNull(in(tuple(person.id, person.version), + (SELECT person.id AS id, max(person.version) AS version + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)))), 0)) SETTINGS optimize_aggregation_in_order=1) AS e__pdi__person ON equals(e__pdi.e__pdi___person_id, e__pdi__person.id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-07-01 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('$pageview', 'user signed up')), or(and(ifNull(ilike(e__pdi__person.properties___email, '%.com%'), 0), ifNull(equals(e__pdi__person.properties___age, '20'), 0)), or(ifNull(ilike(e__pdi__person.properties___email, '%.org%'), 0), ifNull(equals(e__pdi__person.properties___age, '28'), 0)))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + WHERE ifNull(in(steps, [1, 2, 3]), 0) + ORDER BY aggregation_target ASC) AS source + INNER JOIN + (SELECT argMax(toTimeZone(person.created_at, 'UTC'), person.version) AS created_at, + person.id AS id + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)) SETTINGS optimize_aggregation_in_order=1) AS persons ON equals(persons.id, source.actor_id) + ORDER BY persons.created_at DESC + LIMIT 101 + OFFSET 0 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=0, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_property_groups.2 + ''' + SELECT persons.id, + persons.id AS id, + persons.created_at AS created_at, + 1 + FROM + (SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, + avg(step_2_conversion_time) AS step_2_average_conversion_time_inner, + median(step_1_conversion_time) AS step_1_median_conversion_time_inner, + median(step_2_conversion_time) AS step_2_median_conversion_time_inner + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + max(steps) OVER (PARTITION BY aggregation_target) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha.com'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha2.com'), 0)), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS e__pdi___person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + INNER JOIN + (SELECT person.id AS id, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'email'), ''), 'null'), '^"|"$', '') AS properties___email, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'age'), ''), 'null'), '^"|"$', '') AS properties___age + FROM person + WHERE and(equals(person.team_id, 2), ifNull(in(tuple(person.id, person.version), + (SELECT person.id AS id, max(person.version) AS version + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)))), 0)) SETTINGS optimize_aggregation_in_order=1) AS e__pdi__person ON equals(e__pdi.e__pdi___person_id, e__pdi__person.id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-07-01 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('$pageview', 'user signed up')), or(and(ifNull(ilike(e__pdi__person.properties___email, '%.com%'), 0), ifNull(equals(e__pdi__person.properties___age, '20'), 0)), or(ifNull(ilike(e__pdi__person.properties___email, '%.org%'), 0), ifNull(equals(e__pdi__person.properties___age, '28'), 0)))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + WHERE ifNull(in(steps, [2, 3]), 0) + ORDER BY aggregation_target ASC) AS source + INNER JOIN + (SELECT argMax(toTimeZone(person.created_at, 'UTC'), person.version) AS created_at, + person.id AS id + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)) SETTINGS optimize_aggregation_in_order=1) AS persons ON equals(persons.id, source.actor_id) + ORDER BY persons.created_at DESC + LIMIT 101 + OFFSET 0 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=0, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_property_groups.3 + ''' + SELECT persons.id, + persons.id AS id, + persons.created_at AS created_at, + 1 + FROM + (SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + avg(step_1_conversion_time) AS step_1_average_conversion_time_inner, + avg(step_2_conversion_time) AS step_2_average_conversion_time_inner, + median(step_1_conversion_time) AS step_1_median_conversion_time_inner, + median(step_2_conversion_time) AS step_2_median_conversion_time_inner + FROM + (SELECT aggregation_target AS aggregation_target, + steps AS steps, + max(steps) OVER (PARTITION BY aggregation_target) AS max_steps, + step_1_conversion_time AS step_1_conversion_time, + step_2_conversion_time AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0), ifNull(lessOrEquals(latest_1, latest_2), 0), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 3, if(and(ifNull(lessOrEquals(latest_0, latest_1), 0), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), 2, 1)) AS steps, + if(and(isNotNull(latest_1), ifNull(lessOrEquals(latest_1, plus(toTimeZone(latest_0, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_0, latest_1), NULL) AS step_1_conversion_time, + if(and(isNotNull(latest_2), ifNull(lessOrEquals(latest_2, plus(toTimeZone(latest_1, 'UTC'), toIntervalDay(14))), 0)), dateDiff('second', latest_1, latest_2), NULL) AS step_2_conversion_time + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + if(ifNull(less(latest_2, latest_1), 0), NULL, latest_2) AS latest_2 + FROM + (SELECT aggregation_target AS aggregation_target, + timestamp AS timestamp, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + min(latest_1) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_1, + step_2 AS step_2, + min(latest_2) OVER (PARTITION BY aggregation_target + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) AS latest_2 + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha.com'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(and(equals(e.event, '$pageview'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$current_url'), ''), 'null'), '^"|"$', ''), 'aloha2.com'), 0)), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS e__pdi___person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + INNER JOIN + (SELECT person.id AS id, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'email'), ''), 'null'), '^"|"$', '') AS properties___email, + replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(person.properties, 'age'), ''), 'null'), '^"|"$', '') AS properties___age + FROM person + WHERE and(equals(person.team_id, 2), ifNull(in(tuple(person.id, person.version), + (SELECT person.id AS id, max(person.version) AS version + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)))), 0)) SETTINGS optimize_aggregation_in_order=1) AS e__pdi__person ON equals(e__pdi.e__pdi___person_id, e__pdi__person.id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-07-01 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('$pageview', 'user signed up')), or(and(ifNull(ilike(e__pdi__person.properties___email, '%.com%'), 0), ifNull(equals(e__pdi__person.properties___age, '20'), 0)), or(ifNull(ilike(e__pdi__person.properties___email, '%.org%'), 0), ifNull(equals(e__pdi__person.properties___age, '28'), 0)))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))))) + WHERE ifNull(equals(step_0, 1), 0))) + GROUP BY aggregation_target, + steps + HAVING ifNull(equals(steps, max(max_steps)), isNull(steps) + and isNull(max(max_steps)))) + WHERE ifNull(in(steps, [3]), 0) + ORDER BY aggregation_target ASC) AS source + INNER JOIN + (SELECT argMax(toTimeZone(person.created_at, 'UTC'), person.version) AS created_at, + person.id AS id + FROM person + WHERE equals(person.team_id, 2) + GROUP BY person.id + HAVING and(ifNull(equals(argMax(person.is_deleted, person.version), 0), 0), ifNull(less(argMax(toTimeZone(person.created_at, 'UTC'), person.version), plus(now64(6, 'UTC'), toIntervalDay(1))), 0)) SETTINGS optimize_aggregation_in_order=1) AS persons ON equals(persons.id, source.actor_id) + ORDER BY persons.created_at DESC + LIMIT 101 + OFFSET 0 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=0, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_static_cohort_step_filter + ''' + + SELECT count(DISTINCT person_id) + FROM person_static_cohort + WHERE team_id = 2 + AND cohort_id = 2 + ''' +# --- +# name: TestFOSSFunnelUDF.test_funnel_with_static_cohort_step_filter.1 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(and(equals(e.event, 'user signed up'), ifNull(in(e__pdi.person_id, + (SELECT person_static_cohort.person_id AS person_id + FROM person_static_cohort + WHERE and(equals(person_static_cohort.team_id, 2), equals(person_static_cohort.cohort_id, 2)))), 0)), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'paid'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-14 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('paid', 'user signed up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFOSSFunnelUDF.test_timezones + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + breakdown AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'ordered', [[]], arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), [], arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT toTimeZone(e.timestamp, 'US/Pacific') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'user signed up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'paid'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1 + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'US/Pacific')), lessOrEquals(toTimeZone(e.timestamp, 'US/Pacific'), toDateTime64('2020-01-14 23:59:59.999999', 6, 'US/Pacific'))), in(e.event, tuple('paid', 'user signed up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelBreakdownUDF.test_funnel_breakdown_correct_breakdown_props_are_chosen_for_step + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'step_1', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop_0 AS prop_0, + prop_1 AS prop_1, + prop, + prop_vals AS prop_vals, + prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(and(equals(e.event, 'buy'), ifNull(equals(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', ''), 'xyz'), 0)), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + if(ifNull(equals(step_0, 1), 0), prop_basic, []) AS prop_0, + if(ifNull(equals(step_1, 1), 0), prop_basic, []) AS prop_1, + prop_1 AS prop, + groupUniqArray(prop) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0)))) ARRAY + JOIN prop_vals AS prop + WHERE ifNull(notEquals(prop, []), isNotNull(prop) + or isNotNull([]))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelBreakdownUDF.test_funnel_step_multiple_breakdown_snapshot + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, ['Other']) AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel_array(2, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + if(notEmpty(arrayFilter(x -> notEmpty(x), prop_vals)), prop_vals, ['', '']) AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'buy'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + 0 AS exclusion_0, + 0 AS exclusion_1, + [ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$browser'), ''), 'null'), '^"|"$', '')), ''), ifNull(toString(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(e.properties, '$version'), ''), 'null'), '^"|"$', '')), '')] AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, notEmpty(arrayFilter(x -> notEmpty(x), prop))) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_aggregate_by_groups_breakdown_group_person_on_events + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'play movie', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_aggregate_by_groups_breakdown_group_person_on_events_poe_v2 + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e.`$group_0` AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'play movie', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group + ''' + SELECT sum(step_1) AS step_1, + sum(step_2) AS step_2, + sum(step_3) AS step_3, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_1_conversion_times)])[1] AS step_1_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [avgArrayOrNull(step_2_conversion_times)])[1] AS step_2_average_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_1_conversion_times)])[1] AS step_1_median_conversion_time, + arrayMap(x -> if(isNaN(x), NULL, x), [medianArrayOrNull(step_2_conversion_times)])[1] AS step_2_median_conversion_time, + groupArray(row_number) AS row_number, + final_prop AS final_prop + FROM + (SELECT countIf(ifNull(ifNull(equals(af, 0), 0), 0)) AS step_1, + countIf(ifNull(ifNull(equals(af, 1), 0), 0)) AS step_2, + countIf(ifNull(ifNull(equals(af, 2), 0), 0)) AS step_3, + groupArrayIf(timings[1], ifNull(greater(timings[1], 0), 0)) AS step_1_conversion_times, + groupArrayIf(timings[2], ifNull(greater(timings[2], 0), 0)) AS step_2_conversion_times, + rowNumberInBlock() AS row_number, + if(ifNull(less(row_number, 25), 0), breakdown, 'Other') AS final_prop + FROM + (SELECT arrayJoin(aggregate_funnel(3, 1209600, 'first_touch', 'ordered', groupUniqArray(prop), arraySort(t -> t.1, groupArray(tuple(accurateCastOrNull(timestamp, 'Float64'), prop, arrayFilter(x -> ifNull(notEquals(x, 0), 1), [multiply(1, step_0), multiply(2, step_1), multiply(3, step_2)])))))) AS af_tuple, + af_tuple.1 AS af, + af_tuple.2 AS breakdown, + af_tuple.3 AS timings + FROM + (SELECT timestamp AS timestamp, + aggregation_target AS aggregation_target, + step_0 AS step_0, + latest_0 AS latest_0, + step_1 AS step_1, + latest_1 AS latest_1, + step_2 AS step_2, + latest_2 AS latest_2, + exclusion_0 AS exclusion_0, + exclusion_1 AS exclusion_1, + exclusion_2 AS exclusion_2, + prop_basic AS prop_basic, + prop, + prop_vals AS prop_vals, + prop_vals AS prop + FROM + (SELECT toTimeZone(e.timestamp, 'UTC') AS timestamp, + e__pdi.person_id AS aggregation_target, + if(equals(e.event, 'sign up'), 1, 0) AS step_0, + if(ifNull(equals(step_0, 1), 0), timestamp, NULL) AS latest_0, + if(equals(e.event, 'play movie'), 1, 0) AS step_1, + if(ifNull(equals(step_1, 1), 0), timestamp, NULL) AS latest_1, + if(equals(e.event, 'buy'), 1, 0) AS step_2, + if(ifNull(equals(step_2, 1), 0), timestamp, NULL) AS latest_2, + 0 AS exclusion_0, + 0 AS exclusion_1, + 0 AS exclusion_2, + ifNull(toString(e__group_0.properties___industry), '') AS prop_basic, + prop_basic AS prop, + argMinIf(prop, timestamp, isNotNull(prop)) OVER (PARTITION BY aggregation_target) AS prop_vals + FROM events AS e + INNER JOIN + (SELECT argMax(person_distinct_id2.person_id, person_distinct_id2.version) AS person_id, + person_distinct_id2.distinct_id AS distinct_id + FROM person_distinct_id2 + WHERE equals(person_distinct_id2.team_id, 2) + GROUP BY person_distinct_id2.distinct_id + HAVING ifNull(equals(argMax(person_distinct_id2.is_deleted, person_distinct_id2.version), 0), 0) SETTINGS optimize_aggregation_in_order=1) AS e__pdi ON equals(e.distinct_id, e__pdi.distinct_id) + LEFT JOIN + (SELECT argMax(replaceRegexpAll(nullIf(nullIf(JSONExtractRaw(groups.group_properties, 'industry'), ''), 'null'), '^"|"$', ''), toTimeZone(groups._timestamp, 'UTC')) AS properties___industry, + groups.group_type_index AS index, + groups.group_key AS key + FROM groups + WHERE and(equals(groups.team_id, 2), ifNull(equals(index, 0), 0)) + GROUP BY groups.group_type_index, + groups.group_key) AS e__group_0 ON equals(e.`$group_0`, e__group_0.key) + WHERE and(equals(e.team_id, 2), and(and(greaterOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-01 00:00:00.000000', 6, 'UTC')), lessOrEquals(toTimeZone(e.timestamp, 'UTC'), toDateTime64('2020-01-08 23:59:59.999999', 6, 'UTC'))), in(e.event, tuple('buy', 'play movie', 'sign up'))), or(ifNull(equals(step_0, 1), 0), ifNull(equals(step_1, 1), 0), ifNull(equals(step_2, 1), 0))))) + GROUP BY aggregation_target + HAVING ifNull(greaterOrEquals(af, 0), 0)) + GROUP BY breakdown + ORDER BY step_3 DESC, step_2 DESC, step_1 DESC) + GROUP BY final_prop + LIMIT 100 SETTINGS readonly=2, + max_execution_time=60, + allow_experimental_object_type=1, + format_csv_allow_double_quotes=0, + max_ast_elements=4000000, + max_expanded_ast_elements=4000000, + max_bytes_before_external_group_by=23622320128, + allow_experimental_analyzer=1 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.1 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.2 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner , + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time , + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time, + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) ))))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.3 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.4 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner , + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time , + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time, + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) ))))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('finance')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.5 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.6 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner , + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time , + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time, + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) ))))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [1, 2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.7 + ''' + + SELECT replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS value, + count(*) as count + FROM events e + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + GROUP BY value + ORDER BY count DESC, value DESC + LIMIT 26 + OFFSET 0 + ''' +# --- +# name: TestFunnelGroupBreakdownUDF.test_funnel_breakdown_group.8 + ''' + + SELECT aggregation_target AS actor_id + FROM + (SELECT aggregation_target, + steps, + avg(step_1_conversion_time) step_1_average_conversion_time_inner, + avg(step_2_conversion_time) step_2_average_conversion_time_inner, + median(step_1_conversion_time) step_1_median_conversion_time_inner, + median(step_2_conversion_time) step_2_median_conversion_time_inner , + prop + FROM + (SELECT aggregation_target, + steps, + max(steps) over (PARTITION BY aggregation_target, + prop) as max_steps, + step_1_conversion_time, + step_2_conversion_time , + prop + FROM + (SELECT *, + if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY + AND latest_1 <= latest_2 + AND latest_2 <= latest_0 + INTERVAL 7 DAY, 3, if(latest_0 <= latest_1 + AND latest_1 <= latest_0 + INTERVAL 7 DAY, 2, 1)) AS steps , + if(isNotNull(latest_1) + AND latest_1 <= latest_0 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_0), toDateTime(latest_1)), NULL) step_1_conversion_time, + if(isNotNull(latest_2) + AND latest_2 <= latest_1 + INTERVAL 7 DAY, dateDiff('second', toDateTime(latest_1), toDateTime(latest_2)), NULL) step_2_conversion_time, + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + latest_1, + step_2, + if(latest_2 < latest_1, NULL, latest_2) as latest_2 , + prop + FROM + (SELECT aggregation_target, timestamp, step_0, + latest_0, + step_1, + min(latest_1) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_1, + step_2, + min(latest_2) over (PARTITION by aggregation_target, + prop + ORDER BY timestamp DESC ROWS BETWEEN UNBOUNDED PRECEDING AND 0 PRECEDING) latest_2 , + if(has(['technology', 'finance'], prop), prop, 'Other') as prop + FROM + (SELECT *, + prop_vals as prop + FROM + (SELECT e.timestamp as timestamp, + pdi.person_id as aggregation_target, + pdi.person_id as person_id, + if(event = 'sign up', 1, 0) as step_0, + if(step_0 = 1, timestamp, null) as latest_0, + if(event = 'play movie', 1, 0) as step_1, + if(step_1 = 1, timestamp, null) as latest_1, + if(event = 'buy', 1, 0) as step_2, + if(step_2 = 1, timestamp, null) as latest_2, + replaceRegexpAll(JSONExtractRaw(group_properties_0, 'industry'), '^"|"$', '') AS prop_basic, + prop_basic as prop, + argMinIf(prop, timestamp, isNotNull(prop)) over (PARTITION by aggregation_target) as prop_vals + FROM events e + INNER JOIN + (SELECT distinct_id, + argMax(person_id, version) as person_id + FROM person_distinct_id2 + WHERE team_id = 2 + AND distinct_id IN + (SELECT distinct_id + FROM events + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') ) + GROUP BY distinct_id + HAVING argMax(is_deleted, version) = 0) AS pdi ON e.distinct_id = pdi.distinct_id + LEFT JOIN + (SELECT group_key, + argMax(group_properties, _timestamp) AS group_properties_0 + FROM groups + WHERE team_id = 2 + AND group_type_index = 0 + GROUP BY group_key) groups_0 ON "$group_0" == groups_0.group_key + WHERE team_id = 2 + AND event IN ['buy', 'play movie', 'sign up'] + AND toTimeZone(timestamp, 'UTC') >= toDateTime('2020-01-01 00:00:00', 'UTC') + AND toTimeZone(timestamp, 'UTC') <= toDateTime('2020-01-08 23:59:59', 'UTC') + AND (step_0 = 1 + OR step_1 = 1 + OR step_2 = 1) ))))) + WHERE step_0 = 1 )) + GROUP BY aggregation_target, + steps, + prop + HAVING steps = max_steps) + WHERE steps IN [2, 3] + AND arrayFlatten(array(prop)) = arrayFlatten(array('technology')) + ORDER BY aggregation_target + LIMIT 100 + OFFSET 0 SETTINGS max_ast_elements=1000000, + max_expanded_ast_elements=1000000 + ''' +# --- diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel.py b/posthog/hogql_queries/insights/funnels/test/test_funnel.py index 77033100a5009..575f76992ebf3 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel.py @@ -1,6 +1,7 @@ import uuid from datetime import datetime from typing import cast +from unittest.mock import patch, Mock from django.test import override_settings from freezegun import freeze_time @@ -68,6 +69,7 @@ def _create_action(**kwargs): return action +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) class TestFunnelBreakdown( ClickhouseTestMixin, funnel_breakdown_test_factory( # type: ignore @@ -81,6 +83,7 @@ class TestFunnelBreakdown( pass +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) class TestFunnelGroupBreakdown( ClickhouseTestMixin, funnel_breakdown_group_test_factory( # type: ignore @@ -91,6 +94,7 @@ class TestFunnelGroupBreakdown( pass +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) class TestFunnelConversionTime( ClickhouseTestMixin, funnel_conversion_time_test_factory(FunnelOrderType.ORDERED, ClickhouseFunnelActors), # type: ignore @@ -2460,10 +2464,14 @@ def test_advanced_funnel_exclusions_between_steps(self): query = cast(FunnelsQuery, filter_to_query(filters)) results = FunnelsQueryRunner(query=query, team=self.team).calculate().results - self.assertEqual(results[0]["name"], "user signed up") - self.assertEqual(results[0]["count"], 0) - - self.assertEqual(results[4]["count"], 0) + # There should be no events. UDF funnels returns an empty array and says "no events" + # Old style funnels returns a count of 0 + try: + self.assertEqual([], results) + except AssertionError: + self.assertEqual(results[0]["name"], "user signed up") + self.assertEqual(results[0]["count"], 0) + self.assertEqual(results[4]["count"], 0) self.assertCountEqual(self._get_actor_ids_at_step(filters, 1), []) @@ -3290,7 +3298,7 @@ def test_timezones(self): # event _create_person(distinct_ids=["user_1"], team_id=self.team.pk) - #  this event shouldn't appear as in US/Pacific this would be the previous day + # this event shouldn't appear as in US/Pacific this would be the previous day _create_event( team=self.team, event="user signed up", @@ -3300,9 +3308,13 @@ def test_timezones(self): query = cast(FunnelsQuery, filter_to_query(filters)) results = FunnelsQueryRunner(query=query, team=self.team).calculate().results - - self.assertEqual(results[0]["name"], "user signed up") - self.assertEqual(results[0]["count"], 0) + # There should be no events. UDF funnels returns an empty array and says "no events" + # Old style funnels returns a count of 0 + try: + self.assertEqual([], results) + except AssertionError: + self.assertEqual(results[0]["name"], "user signed up") + self.assertEqual(results[0]["count"], 0) def test_funnel_with_sampling(self): action_play_movie = Action.objects.create( @@ -4095,6 +4107,7 @@ def test_first_time_for_user_funnel_multiple_ids(self): return TestGetFunnel +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) class TestFOSSFunnel(funnel_test_factory(Funnel, _create_event, _create_person)): # type: ignore maxDiff = None diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_strict.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict.py index e146547285fae..7be35d81324d1 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel_strict.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict.py @@ -1,5 +1,6 @@ from datetime import datetime from typing import cast +from unittest.mock import Mock, patch from posthog.constants import INSIGHT_FUNNELS, FunnelOrderType from posthog.hogql_queries.insights.funnels.funnels_query_runner import FunnelsQueryRunner @@ -38,7 +39,7 @@ def _create_action(**kwargs): return action -class TestFunnelStrictStepsBreakdown( +class BaseTestFunnelStrictStepsBreakdown( ClickhouseTestMixin, funnel_breakdown_test_factory( # type: ignore FunnelOrderType.STRICT, @@ -178,7 +179,7 @@ def test_strict_breakdown_events_with_multiple_properties(self): self.assertCountEqual(self._get_actor_ids_at_step(filters, 2, ["Safari"]), [people["person2"].uuid]) -class TestStrictFunnelGroupBreakdown( +class BaseTestStrictFunnelGroupBreakdown( ClickhouseTestMixin, funnel_breakdown_group_test_factory( # type: ignore FunnelOrderType.STRICT, @@ -188,7 +189,7 @@ class TestStrictFunnelGroupBreakdown( pass -class TestFunnelStrictStepsConversionTime( +class BaseTestFunnelStrictStepsConversionTime( ClickhouseTestMixin, funnel_conversion_time_test_factory(FunnelOrderType.ORDERED, ClickhouseFunnelStrictActors), # type: ignore ): @@ -196,7 +197,7 @@ class TestFunnelStrictStepsConversionTime( pass -class TestFunnelStrictSteps(ClickhouseTestMixin, APIBaseTest): +class BaseTestFunnelStrictSteps(ClickhouseTestMixin, APIBaseTest): maxDiff = None def _get_actor_ids_at_step(self, filter, funnel_step, breakdown_value=None): @@ -624,3 +625,23 @@ def test_basic_strict_funnel_conversion_times(self): self._get_actor_ids_at_step(filters, 3), [person3_stopped_after_insight_view.uuid], ) + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) +class TestFunnelStrictStepsBreakdown(BaseTestFunnelStrictStepsBreakdown): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) +class TestFunnelStrictSteps(BaseTestFunnelStrictSteps): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) +class TestStrictFunnelGroupBreakdown(BaseTestStrictFunnelGroupBreakdown): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) +class TestFunnelStrictStepsConversionTime(BaseTestFunnelStrictStepsConversionTime): + pass diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py new file mode 100644 index 0000000000000..178e329d3748e --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_strict_udf.py @@ -0,0 +1,28 @@ +from unittest.mock import Mock, patch + +from posthog.hogql_queries.insights.funnels.test.test_funnel_strict import ( + BaseTestFunnelStrictStepsBreakdown, + BaseTestFunnelStrictSteps, + BaseTestStrictFunnelGroupBreakdown, + BaseTestFunnelStrictStepsConversionTime, +) + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelStrictStepsBreakdown(BaseTestFunnelStrictStepsBreakdown): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelStrictSteps(BaseTestFunnelStrictSteps): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestStrictFunnelGroupBreakdown(BaseTestStrictFunnelGroupBreakdown): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelStrictStepsConversionTime(BaseTestFunnelStrictStepsConversionTime): + pass diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_trends.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_trends.py index 7b86e305ca89e..55a1f8660d0ca 100644 --- a/posthog/hogql_queries/insights/funnels/test/test_funnel_trends.py +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_trends.py @@ -1,5 +1,6 @@ from datetime import date, datetime, timedelta from typing import cast +from unittest.mock import patch, Mock from zoneinfo import ZoneInfo from freezegun.api import freeze_time @@ -23,7 +24,7 @@ FORMAT_TIME_DAY_END = "%Y-%m-%d 23:59:59" -class TestFunnelTrends(ClickhouseTestMixin, APIBaseTest): +class BaseTestFunnelTrends(ClickhouseTestMixin, APIBaseTest): maxDiff = None def _get_actors_at_step(self, filter, entrance_period_start, drop_off): @@ -130,43 +131,43 @@ def test_only_one_user_reached_one_step(self): [ { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 1, "timestamp": datetime(2021, 6, 7, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 8, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 9, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 10, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 11, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 12, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, { "reached_to_step_count": 0, - "conversion_rate": 0, + "conversion_rate": 0.0, "reached_from_step_count": 0, "timestamp": datetime(2021, 6, 13, 0, 0).replace(tzinfo=ZoneInfo("UTC")), }, @@ -1611,3 +1612,8 @@ def test_parses_breakdown_correctly(self): results = FunnelsQueryRunner(query=query, team=self.team).calculate().results self.assertEqual(len(results), 1) + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=False)) +class TestFunnelTrends(BaseTestFunnelTrends): + pass diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_trends_udf.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_trends_udf.py new file mode 100644 index 0000000000000..6965222b749f5 --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_trends_udf.py @@ -0,0 +1,8 @@ +from unittest.mock import patch, Mock + +from posthog.hogql_queries.insights.funnels.test.test_funnel_trends import BaseTestFunnelTrends + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelTrendsUDF(BaseTestFunnelTrends): + pass diff --git a/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py b/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py new file mode 100644 index 0000000000000..2844d4b7792d4 --- /dev/null +++ b/posthog/hogql_queries/insights/funnels/test/test_funnel_udf.py @@ -0,0 +1,66 @@ +from unittest.mock import patch, Mock + +from posthog.constants import FunnelOrderType +from posthog.hogql_queries.insights.funnels import Funnel +from posthog.hogql_queries.insights.funnels.test.breakdown_cases import ( + funnel_breakdown_test_factory, + funnel_breakdown_group_test_factory, +) +from posthog.models import Action +from posthog.queries.funnels import ClickhouseFunnelActors +from posthog.test.base import ( + ClickhouseTestMixin, + _create_event, + _create_person, +) +from test_funnel import funnel_test_factory +from posthog.hogql_queries.insights.funnels.test.conversion_time_cases import ( + funnel_conversion_time_test_factory, +) + + +def _create_action(**kwargs): + team = kwargs.pop("team") + name = kwargs.pop("name") + properties = kwargs.pop("properties", {}) + action = Action.objects.create(team=team, name=name, steps_json=[{"event": name, "properties": properties}]) + return action + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelBreakdownUDF( + ClickhouseTestMixin, + funnel_breakdown_test_factory( # type: ignore + FunnelOrderType.ORDERED, + ClickhouseFunnelActors, + _create_action, + _create_person, + ), +): + maxDiff = None + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelGroupBreakdownUDF( + ClickhouseTestMixin, + funnel_breakdown_group_test_factory( # type: ignore + FunnelOrderType.ORDERED, + ClickhouseFunnelActors, + ), +): + pass + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFOSSFunnelUDF(funnel_test_factory(Funnel, _create_event, _create_person)): # type: ignore + maxDiff = None + + +@patch("posthoganalytics.feature_enabled", new=Mock(return_value=True)) +class TestFunnelConversionTimeUDF( + ClickhouseTestMixin, + funnel_conversion_time_test_factory(FunnelOrderType.ORDERED, ClickhouseFunnelActors), # type: ignore +): + maxDiff = None + pass diff --git a/posthog/hogql_queries/insights/funnels/utils.py b/posthog/hogql_queries/insights/funnels/utils.py index d5c968a913494..31c31fa9b361d 100644 --- a/posthog/hogql_queries/insights/funnels/utils.py +++ b/posthog/hogql_queries/insights/funnels/utils.py @@ -5,15 +5,18 @@ from rest_framework.exceptions import ValidationError -def get_funnel_order_class(funnelsFilter: FunnelsFilter): +def get_funnel_order_class(funnelsFilter: FunnelsFilter, use_udf=False): from posthog.hogql_queries.insights.funnels import ( Funnel, + FunnelUDF, FunnelStrict, FunnelUnordered, ) if funnelsFilter.funnelOrderType == StepOrderValue.UNORDERED: return FunnelUnordered + elif use_udf: + return FunnelUDF elif funnelsFilter.funnelOrderType == StepOrderValue.STRICT: return FunnelStrict return Funnel diff --git a/posthog/hogql_queries/insights/utils/utils.py b/posthog/hogql_queries/insights/utils/utils.py index 747d7e2b6ca5a..15689aba7927e 100644 --- a/posthog/hogql_queries/insights/utils/utils.py +++ b/posthog/hogql_queries/insights/utils/utils.py @@ -10,3 +10,8 @@ def get_start_of_interval_hogql(interval: str, *, team: Team, source: Optional[a if trunc_func == "toStartOfWeek": trunc_func_args.append(ast.Constant(value=int((WeekStartDay(team.week_start_day or 0)).clickhouse_mode))) return ast.Call(name=trunc_func, args=trunc_func_args) + + +def get_start_of_interval_hogql_str(interval: str, *, team: Team, source: str) -> str: + trunc_func = get_trunc_func_ch(interval) + return f"{trunc_func}({source}{f', {int((WeekStartDay(team.week_start_day or 0)).clickhouse_mode)}' if trunc_func == 'toStartOfWeek' else ''})" diff --git a/posthog/hogql_queries/legacy_compatibility/feature_flag.py b/posthog/hogql_queries/legacy_compatibility/feature_flag.py index 6b4a6e0e22a0b..697e479f6031f 100644 --- a/posthog/hogql_queries/legacy_compatibility/feature_flag.py +++ b/posthog/hogql_queries/legacy_compatibility/feature_flag.py @@ -21,3 +21,24 @@ def hogql_insights_replace_filters(team: Team) -> bool: only_evaluate_locally=True, send_feature_flag_events=False, ) + + +def insight_funnels_use_udf(team: Team) -> bool: + return posthoganalytics.feature_enabled( + "insight-funnels-use-udf", + str(team.uuid), + groups={ + "organization": str(team.organization_id), + "project": str(team.id), + }, + group_properties={ + "organization": { + "id": str(team.organization_id), + }, + "project": { + "id": str(team.id), + }, + }, + only_evaluate_locally=False, + send_feature_flag_events=False, + ) diff --git a/posthog/schema.py b/posthog/schema.py index bf7662b7a9e5b..aaf418fae271b 100644 --- a/posthog/schema.py +++ b/posthog/schema.py @@ -1768,6 +1768,7 @@ class CachedFunnelsQueryResponse(BaseModel): description="Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", ) hogql: Optional[str] = Field(default=None, description="Generated HogQL query.") + isUdf: Optional[bool] = None is_cached: bool last_refresh: AwareDatetime modifiers: Optional[HogQLQueryModifiers] = Field( @@ -2550,6 +2551,7 @@ class FunnelsQueryResponse(BaseModel): description="Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", ) hogql: Optional[str] = Field(default=None, description="Generated HogQL query.") + isUdf: Optional[bool] = None modifiers: Optional[HogQLQueryModifiers] = Field( default=None, description="Modifiers used when performing the query" ) @@ -3329,6 +3331,7 @@ class QueryResponseAlternative25(BaseModel): description="Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", ) hogql: Optional[str] = Field(default=None, description="Generated HogQL query.") + isUdf: Optional[bool] = None modifiers: Optional[HogQLQueryModifiers] = Field( default=None, description="Modifiers used when performing the query" ) @@ -4642,6 +4645,7 @@ class FunnelsFilter(BaseModel): funnelWindowIntervalUnit: Optional[FunnelConversionWindowTimeUnit] = FunnelConversionWindowTimeUnit.DAY hiddenLegendBreakdowns: Optional[list[str]] = None layout: Optional[FunnelLayout] = FunnelLayout.VERTICAL + useUdf: Optional[bool] = None class HasPropertiesNode(RootModel[Union[EventsNode, EventsQuery, PersonsNode]]): diff --git a/posthog/test/user_scripts/__init__.py b/posthog/test/user_scripts/__init__.py new file mode 100644 index 0000000000000..e69de29bb2d1d diff --git a/posthog/test/user_scripts/test_aggregate_funnel.py b/posthog/test/user_scripts/test_aggregate_funnel.py new file mode 100644 index 0000000000000..2b20929002f83 --- /dev/null +++ b/posthog/test/user_scripts/test_aggregate_funnel.py @@ -0,0 +1,4206 @@ +from typing import Any + +from posthog.user_scripts.aggregate_funnel import calculate_funnel_from_user_events + + +def test(): + y = [ + [(1577973600.0, "", [1]), (1577980800.0, "", [2]), (1577984400.0, "", [3])], + [(1577880000.0, "", [1]), (1577883600.0, "", [2]), (1577890800.0, "", [3])], + [(1577973600.0, "", [1]), (1577980800.0, "", [2])], + ] + + for x in y: + calculate_funnel_from_user_events(3, 1209600, "first_touch", "strict", [""], x) + + +def test2(): + a: list[Any] = [ + [(1720051532.484019, [], [1, 2, 3, 4, 5, 6])], + [(1720105713.331995, [], [1, 2, 3, 4, 5, 6])], + [(1720329565.847159, [], [1, 2, 3, 4, 5, 6])], + [ + (1720186008.567886, [], [1, 2, 3, 4, 5, 6]), + (1720326697.522923, [], [1, 2, 3, 4, 5, 6]), + (1720482974.426314, [], [1, 2, 3, 4, 5, 6]), + ], + [(1720327526.250804, [], [1, 2, 3, 4, 5, 6]), (1720497558.23414, [], [1, 2, 3, 4, 5, 6])], + [ + (1719979738.339271, [], [1, 2, 3, 4, 5, 6]), 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[1, 2, 3, 4, 5, 6]), + (1720310914.655803, [], [1, 2, 3, 4, 5, 6]), + (1720587828.804404, [], [1, 2, 3, 4, 5, 6]), + (1720588071.078858, [], [1, 2, 3, 4, 5, 6]), + (1720588073.115074, [], [1, 2, 3, 4, 5, 6]), + ], + [ + (1720055953.618503, [], [1, 2, 3, 4, 5, 6]), + (1720223652.080905, [], [1, 2, 3, 4, 5, 6]), + (1720308372.703732, [], [1, 2, 3, 4, 5, 6]), + (1720624033.359415, [], [1, 2, 3, 4, 5, 6]), + ], + [ + (1720173756.125859, [], [1, 2, 3, 4, 5, 6]), + (1720315128.683231, [], [1, 2, 3, 4, 5, 6]), + (1720466410.646777, [], [1, 2, 3, 4, 5, 6]), + ], + [(1720157263.810637, [], [1, 2, 3, 4, 5, 6]), (1720235081.49838, [], [1, 2, 3, 4, 5, 6])], + [ + (1720229216.005254, [], [1, 2, 3, 4, 5, 6]), + (1720557735.625871, [], [1, 2, 3, 4, 5, 6]), + (1720627294.521232, [], [1, 2, 3, 4, 5, 6]), + ], + [ + (1720394336.326148, [], [1, 2, 3, 4, 5, 6]), + (1720394382.775033, [], [1, 2, 3, 4, 5, 6]), + (1720394404.054186, [], [1, 2, 3, 4, 5, 6]), + (1720394488.655765, [], [1, 2, 3, 4, 5, 6]), + (1720394583.815862, [], [1, 2, 3, 4, 5, 6]), + (1720394609.744123, [], [1, 2, 3, 4, 5, 6]), + (1720394643.351845, [], [1, 2, 3, 4, 5, 6]), + (1720394661.447752, [], [1, 2, 3, 4, 5, 6]), + (1720394715.354794, [], [1, 2, 3, 4, 5, 6]), + ], + ] + for b in a: + calculate_funnel_from_user_events(6, 1123200, "first_touch", "ordered", [[]], b) diff --git a/posthog/user_scripts/aggregate_funnel.py b/posthog/user_scripts/aggregate_funnel.py new file mode 100755 index 0000000000000..162918a819625 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel.py @@ -0,0 +1,144 @@ +#!/usr/bin/python3 +import json +import sys +from dataclasses import dataclass, replace +from itertools import groupby, permutations +from typing import Any, cast +from collections.abc import Sequence + + +def parse_args(line): + args = json.loads(line) + return [ + int(args["num_steps"]), + int(args["conversion_window_limit"]), + str(args["breakdown_attribution_type"]), + str(args["funnel_order_type"]), + args["prop_vals"], # Array(Array(String)) + args["value"], # Array(Tuple(Nullable(Float64), Nullable(DateTime), Array(String), Array(Int8))) + ] + + +@dataclass(frozen=True) +class EnteredTimestamp: + timestamp: Any + timings: Any + + +# each one can be multiple steps here +# it only matters when they entered the funnel - you can propagate the time from the previous step when you update +# This function is defined for Clickhouse in user_defined_functions.xml along with types +# num_steps is the total number of steps in the funnel +# conversion_window_limit is in seconds +# events is a array of tuples of (timestamp, breakdown, [steps]) +# steps is an array of integers which represent the steps that this event qualifies for. it looks like [1,3,5,6]. +# negative integers represent an exclusion on that step. each event is either all exclusions or all steps. +def calculate_funnel_from_user_events( + num_steps: int, + conversion_window_limit_seconds: int, + breakdown_attribution_type: str, + funnel_order_type: str, + prop_vals: list[Any], + events: Sequence[tuple[float, list[str] | int | str, list[int]]], +): + default_entered_timestamp = EnteredTimestamp(0, []) + max_step = [0, default_entered_timestamp] + # If the attribution mode is a breakdown step, set this to the integer that represents that step + breakdown_step = int(breakdown_attribution_type[5:]) if breakdown_attribution_type.startswith("step_") else None + + # This function returns an Array. We build up an array of strings to return here. + results: list[tuple[int, Any, list[float]]] = [] + + # Process an event. If this hits an exclusion, return False, else return True. + def process_event(timestamp, breakdown, steps, *, entered_timestamp, prop_val) -> bool: + # iterate the steps in reverse so we don't count this event multiple times + for step in reversed(steps): + exclusion = False + if step < 0: + exclusion = True + step = -step + + in_match_window = timestamp - entered_timestamp[step - 1].timestamp <= conversion_window_limit_seconds + already_reached_this_step_with_same_entered_timestamp = ( + entered_timestamp[step].timestamp == entered_timestamp[step - 1].timestamp + ) + + if in_match_window and not already_reached_this_step_with_same_entered_timestamp: + if exclusion: + results.append((-1, prop_val, [])) + return False + is_unmatched_step_attribution = ( + breakdown_step is not None and step == breakdown_step - 1 and prop_val != breakdown + ) + if not is_unmatched_step_attribution: + entered_timestamp[step] = replace( + entered_timestamp[step - 1], timings=[*entered_timestamp[step - 1].timings, timestamp] + ) + if step > max_step[0]: + max_step[:] = (step, entered_timestamp[step]) + + if funnel_order_type == "strict": + for i in range(len(entered_timestamp)): + if i not in steps: + entered_timestamp[i] = default_entered_timestamp + + return True + + # We call this for each possible breakdown value. + def loop_prop_val(prop_val): + # an array of when the user entered the funnel + # entered_timestamp = [(0, "", [])] * (num_steps + 1) + max_step[:] = [0, default_entered_timestamp] + entered_timestamp: list[EnteredTimestamp] = [default_entered_timestamp] * (num_steps + 1) + + def add_max_step(): + i = cast(int, max_step[0]) + final = cast(EnteredTimestamp, max_step[1]) + results.append((i - 1, prop_val, [final.timings[i] - final.timings[i - 1] for i in range(1, i)])) + + filtered_events = ( + ((timestamp, breakdown, steps) for (timestamp, breakdown, steps) in events if breakdown == prop_val) + if breakdown_attribution_type == "all_events" + else events + ) + for timestamp, events_with_same_timestamp_iterator in groupby(filtered_events, key=lambda x: x[0]): + events_with_same_timestamp = tuple(events_with_same_timestamp_iterator) + entered_timestamp[0] = EnteredTimestamp(timestamp, []) + if len(events_with_same_timestamp) == 1: + if not process_event( + *events_with_same_timestamp[0], entered_timestamp=entered_timestamp, prop_val=prop_val + ): + return + else: + # This is a special case for events with the same timestamp + # We play all of their permutations and most generously take the ones that advanced the furthest + # This has quite bad performance, and can probably be optimized through clever but annoying logic + # but shouldn't be hit too often + entered_timestamps = [] + for events_group_perm in permutations(events_with_same_timestamp): + entered_timestamps.append(list(entered_timestamp)) + for event in events_group_perm: + if not process_event(*event, entered_timestamp=entered_timestamps[-1], prop_val=prop_val): + # If any of the permutations hits an exclusion, we exclude this user. + # This isn't an important implementation detail and we could do something smarter here. + return + for i in range(len(entered_timestamp)): + entered_timestamp[i] = max((x[i] for x in entered_timestamps), key=lambda x: x.timestamp) + + # If we have hit the goal, we can terminate early + if entered_timestamp[num_steps].timestamp > 0: + add_max_step() + return + + # Find the furthest step we have made it to and print it + add_max_step() + return + + [loop_prop_val(prop_val) for prop_val in prop_vals] + print(json.dumps({"result": results}), end="\n") # noqa: T201 + + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_array.py b/posthog/user_scripts/aggregate_funnel_array.py new file mode 100755 index 0000000000000..17b053bb7d448 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_array.py @@ -0,0 +1,9 @@ +#!/usr/bin/python3 +import sys + +from aggregate_funnel import parse_args, calculate_funnel_from_user_events + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_array_trends.py b/posthog/user_scripts/aggregate_funnel_array_trends.py new file mode 100755 index 0000000000000..15e93f5452797 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_array_trends.py @@ -0,0 +1,9 @@ +#!/usr/bin/python3 +import sys + +from aggregate_funnel_trends import parse_args, calculate_funnel_trends_from_user_events + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_trends_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_array_trends_test.py b/posthog/user_scripts/aggregate_funnel_array_trends_test.py new file mode 100755 index 0000000000000..44d3cc9b8f059 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_array_trends_test.py @@ -0,0 +1,13 @@ +#!/usr/bin/python3 + +from aggregate_funnel_trends import calculate_funnel_trends_from_user_events, parse_args +import sys +import json + +if __name__ == "__main__": + for line in sys.stdin: + try: + calculate_funnel_trends_from_user_events(*parse_args(line)) + except Exception as e: + print(json.dumps({"result": json.dumps(str(e))}), end="\n") # noqa: T201 + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_cohort.py b/posthog/user_scripts/aggregate_funnel_cohort.py new file mode 100755 index 0000000000000..17b053bb7d448 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_cohort.py @@ -0,0 +1,9 @@ +#!/usr/bin/python3 +import sys + +from aggregate_funnel import parse_args, calculate_funnel_from_user_events + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_cohort_trends.py b/posthog/user_scripts/aggregate_funnel_cohort_trends.py new file mode 100755 index 0000000000000..15e93f5452797 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_cohort_trends.py @@ -0,0 +1,9 @@ +#!/usr/bin/python3 +import sys + +from aggregate_funnel_trends import parse_args, calculate_funnel_trends_from_user_events + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_trends_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_test.py b/posthog/user_scripts/aggregate_funnel_test.py new file mode 100755 index 0000000000000..e0689b82af21c --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_test.py @@ -0,0 +1,13 @@ +#!/usr/bin/python3 +import json + +from aggregate_funnel import calculate_funnel_from_user_events, parse_args +import sys + +if __name__ == "__main__": + for line in sys.stdin: + try: + calculate_funnel_from_user_events(*parse_args(line)) + except Exception as e: + print(json.dumps({"result": json.dumps(str(e))}), end="\n") # noqa: T201 + sys.stdout.flush() diff --git a/posthog/user_scripts/aggregate_funnel_trends.py b/posthog/user_scripts/aggregate_funnel_trends.py new file mode 100755 index 0000000000000..0aa96b7a19b96 --- /dev/null +++ b/posthog/user_scripts/aggregate_funnel_trends.py @@ -0,0 +1,131 @@ +#!/usr/bin/python3 +import sys +from dataclasses import dataclass, replace +from typing import Any +from collections.abc import Sequence +import json + + +def parse_args(line): + args = json.loads(line) + return [ + int(args["from_step"]), + int(args["num_steps"]), + int(args["conversion_window_limit"]), + str(args["breakdown_attribution_type"]), + str(args["funnel_order_type"]), + args["prop_vals"], # Array(Array(String)) + args["value"], # Array(Tuple(Nullable(Float64), Nullable(DateTime), Array(String), Array(Int8))) + ] + + +@dataclass(frozen=True) +class EnteredTimestamp: + timestamp: Any + timings: Any + + +# each one can be multiple steps here +# it only matters when they entered the funnel - you can propagate the time from the previous step when you update +# This function is defined for Clickhouse in user_defined_functions.xml along with types +# num_steps is the total number of steps in the funnel +# conversion_window_limit is in seconds +# events is a array of tuples of (timestamp, breakdown, [steps]) +# steps is an array of integers which represent the steps that this event qualifies for. it looks like [1,3,5,6]. +# negative integers represent an exclusion on that step. each event is either all exclusions or all steps. +def calculate_funnel_trends_from_user_events( + from_step: int, + num_steps: int, + conversion_window_limit_seconds: int, + breakdown_attribution_type: str, + funnel_order_type: str, + prop_vals: list[Any], + events: Sequence[tuple[float, int, list[str] | int | str, list[int]]], +): + default_entered_timestamp = EnteredTimestamp(0, []) + # If the attribution mode is a breakdown step, set this to the integer that represents that step + breakdown_step = int(breakdown_attribution_type[5:]) if breakdown_attribution_type.startswith("step_") else None + + # Results is a map of start intervals to success or failure. If an interval isn't here, it means the + # user didn't enter + results = {} + + # We call this for each possible breakdown value. + def loop_prop_val(prop_val): + # we need to track every distinct entry into the funnel through to the end + filtered_events = ( + ( + (timestamp, interval_start, breakdown, steps) + for (timestamp, interval_start, breakdown, steps) in events + if breakdown == prop_val + ) + if breakdown_attribution_type == "all_events" + else events + ) + list_of_entered_timestamps = [] + + for timestamp, interval_start, breakdown, steps in filtered_events: + for step in reversed(steps): + exclusion = False + if step < 0: + exclusion = True + step = -step + # Special code to handle the first step + # Potential Optimization: we could skip tracking here if the user has already completed the funnel for this interval + if step == 1: + entered_timestamp = [default_entered_timestamp] * (num_steps + 1) + # Set the interval start at 0, which is what we want to return if this works. + # For strict funnels, we need to track if the "from_step" has been hit + # Abuse the timings field on the 0th index entered_timestamp to have the elt True if we have + entered_timestamp[0] = EnteredTimestamp(interval_start, [True] if from_step == 0 else []) + entered_timestamp[1] = EnteredTimestamp(timestamp, [timestamp]) + list_of_entered_timestamps.append(entered_timestamp) + else: + for entered_timestamp in list_of_entered_timestamps[:]: + in_match_window = ( + timestamp - entered_timestamp[step - 1].timestamp <= conversion_window_limit_seconds + ) + already_reached_this_step_with_same_entered_timestamp = ( + entered_timestamp[step].timestamp == entered_timestamp[step - 1].timestamp + ) + if in_match_window and not already_reached_this_step_with_same_entered_timestamp: + if exclusion: + # this is a complete failure, exclude this person, don't print anything, don't count + return False + is_unmatched_step_attribution = ( + breakdown_step is not None and step == breakdown_step - 1 and prop_val != breakdown + ) + if not is_unmatched_step_attribution: + entered_timestamp[step] = replace( + entered_timestamp[step - 1], + timings=[*entered_timestamp[step - 1].timings, timestamp], + ) + # check if we have hit the goal. if we have, remove it from the list and add it to the successful_timestamps + if entered_timestamp[num_steps].timestamp > 0: + results[entered_timestamp[0].timestamp] = (1, prop_val) + list_of_entered_timestamps.remove(entered_timestamp) + # If we have hit the from_step threshold, record it (abuse the timings field) + elif step == from_step + 1: + entered_timestamp[0].timings.append(True) + + # At the end of the event, clear all steps that weren't done by that event + if funnel_order_type == "strict": + for entered_timestamp in list_of_entered_timestamps[:]: + for i in range(1, len(entered_timestamp)): + if i not in steps: + entered_timestamp[i] = default_entered_timestamp + + # At this point, everything left in entered_timestamps is a failure, if it has made it to from_step + for entered_timestamp in list_of_entered_timestamps: + if entered_timestamp[0].timestamp not in results and len(entered_timestamp[0].timings) > 0: + results[entered_timestamp[0].timestamp] = (-1, prop_val) + + [loop_prop_val(prop_val) for prop_val in prop_vals] + result = [(interval_start, success_bool, prop_val) for interval_start, (success_bool, prop_val) in results.items()] + print(json.dumps({"result": result}), end="\n") # noqa: T201 + + +if __name__ == "__main__": + for line in sys.stdin: + calculate_funnel_trends_from_user_events(*parse_args(line)) + sys.stdout.flush() diff --git a/posthog/utils.py b/posthog/utils.py index 39bf6d606982f..aaf02658b42d1 100644 --- a/posthog/utils.py +++ b/posthog/utils.py @@ -58,6 +58,7 @@ from posthog.models import Team, User DATERANGE_MAP = { + "second": datetime.timedelta(seconds=1), "minute": datetime.timedelta(minutes=1), "hour": datetime.timedelta(hours=1), "day": datetime.timedelta(days=1), diff --git a/requirements.in b/requirements.in index 17c4feb2f808d..959a0b2dc75de 100644 --- a/requirements.in +++ b/requirements.in @@ -90,7 +90,7 @@ sshtunnel==0.4.0 statshog==1.0.6 structlog==23.2.0 sqlparse==0.4.4 -temporalio==1.6.0 +temporalio==1.7.0 token-bucket==0.3.0 toronado==0.1.0 webdriver_manager==4.0.1 diff --git a/requirements.txt b/requirements.txt index c8d3e50b4256c..e31cbdd5d09bd 100644 --- a/requirements.txt +++ b/requirements.txt @@ -665,7 +665,7 @@ structlog==23.2.0 # via # -r requirements.in # django-structlog -temporalio==1.6.0 +temporalio==1.7.0 # via -r requirements.in tenacity==8.2.3 # via From f5791bb5847642d8eea817783211220ef145172a Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Thu, 5 Sep 2024 21:25:07 +0200 Subject: [PATCH 13/66] fix(hedgehog): Fix hedgehog in profile pictures (#24813) --- ...es-other-settings--settings-user--dark.png | Bin 234745 -> 226968 bytes ...s-other-settings--settings-user--light.png | Bin 235142 -> 227498 bytes 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Date: Fri, 6 Sep 2024 01:41:16 +0200 Subject: [PATCH 14/66] feat: add sdk target area to support form (#24827) --- frontend/src/lib/components/Support/supportLogic.ts | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/frontend/src/lib/components/Support/supportLogic.ts b/frontend/src/lib/components/Support/supportLogic.ts index d947dc10e6723..0a9ae9337de96 100644 --- a/frontend/src/lib/components/Support/supportLogic.ts +++ b/frontend/src/lib/components/Support/supportLogic.ts @@ -103,6 +103,11 @@ export const TARGET_AREA_TO_NAME = [ 'data-attr': `support-form-target-area-onboarding`, label: 'Onboarding', }, + { + value: 'sdk', + 'data-attr': `support-form-target-area-onboarding`, + label: 'SDK / Implementation', + }, { value: 'cohorts', 'data-attr': `support-form-target-area-cohorts`, From 49629bf4000e05f06b39f536588c7275e3d4c6ad Mon Sep 17 00:00:00 2001 From: Ben White Date: Fri, 6 Sep 2024 08:32:58 +0200 Subject: [PATCH 15/66] fix: Removed old heartbeat metric (#24829) --- posthog/tasks/tasks.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/tasks/tasks.py b/posthog/tasks/tasks.py index 68cad94b93d81..902d9dd7df8e9 100644 --- a/posthog/tasks/tasks.py +++ b/posthog/tasks/tasks.py @@ -181,7 +181,7 @@ def pg_row_count() -> None: "log_entries", ] -HEARTBEAT_EVENT_TO_INGESTION_LAG_METRIC = {"heartbeat": "ingestion", "$heartbeat": "ingestion_api"} +HEARTBEAT_EVENT_TO_INGESTION_LAG_METRIC = {"$heartbeat": "ingestion_api"} @shared_task(ignore_result=True) From 0da6e88d19ac5d2ef61bc39658caf76151c1d224 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Tom=C3=A1s=20Far=C3=ADas=20Santana?= Date: Fri, 6 Sep 2024 09:52:00 +0200 Subject: [PATCH 16/66] feat: Switch batch exports logging to async (#24819) --- .../temporal/batch_exports/batch_exports.py | 30 +++++++++---------- .../batch_exports/bigquery_batch_export.py | 4 +-- .../batch_exports/postgres_batch_export.py | 4 +-- .../batch_exports/redshift_batch_export.py | 2 +- .../temporal/batch_exports/s3_batch_export.py | 16 +++++----- .../batch_exports/snowflake_batch_export.py | 2 +- posthog/temporal/common/utils.py | 10 +++---- 7 files changed, 34 insertions(+), 34 deletions(-) diff --git a/posthog/temporal/batch_exports/batch_exports.py b/posthog/temporal/batch_exports/batch_exports.py index 19658ec1a7b35..5fe76ff146649 100644 --- a/posthog/temporal/batch_exports/batch_exports.py +++ b/posthog/temporal/batch_exports/batch_exports.py @@ -412,7 +412,7 @@ async def start_batch_export_run(inputs: StartBatchExportRunInputs) -> BatchExpo (i.e. without running the insert activity), as there will be nothing to export. """ logger = await bind_temporal_worker_logger(team_id=inputs.team_id) - logger.info( + await logger.ainfo( "Starting batch export for range %s - %s", inputs.data_interval_start, inputs.data_interval_end, @@ -483,19 +483,19 @@ async def finish_batch_export_run(inputs: FinishBatchExportRunInputs) -> None: ) if batch_export_run.status == BatchExportRun.Status.FAILED_RETRYABLE: - logger.error("Batch export failed with error: %s", batch_export_run.latest_error) + await logger.aerror("Batch export failed with error: %s", batch_export_run.latest_error) elif batch_export_run.status == BatchExportRun.Status.FAILED: - logger.error("Batch export failed with non-recoverable error: %s", batch_export_run.latest_error) + await logger.aerror("Batch export failed with non-recoverable error: %s", batch_export_run.latest_error) from posthog.tasks.email import send_batch_export_run_failure try: await database_sync_to_async(send_batch_export_run_failure)(inputs.id) except Exception: - logger.exception("Failure email notification could not be sent") + await logger.aexception("Failure email notification could not be sent") else: - logger.info("Failure notification email for run %s has been sent", inputs.id) + await logger.ainfo("Failure notification email for run %s has been sent", inputs.id) is_over_failure_threshold = await check_if_over_failure_threshold( inputs.batch_export_id, @@ -512,10 +512,10 @@ async def finish_batch_export_run(inputs: FinishBatchExportRunInputs) -> None: # Pausing could error if the underlying schedule is deleted. # Our application logic should prevent that, but I want to log it in case it ever happens # as that would indicate a bug. - logger.exception("Batch export could not be automatically paused") + await logger.aexception("Batch export could not be automatically paused") else: if was_paused: - logger.warning( + await logger.awarning( "Batch export was automatically paused due to exceeding failure threshold and exhausting " "all automated retries." "The batch export can be unpaused after addressing any errors." @@ -526,10 +526,10 @@ async def finish_batch_export_run(inputs: FinishBatchExportRunInputs) -> None: inputs.batch_export_id, ) except Exception: - logger.exception("Ongoing backfills could not be automatically cancelled") + await logger.aexception("Ongoing backfills could not be automatically cancelled") else: if total_cancelled > 0: - logger.warning( + await logger.awarning( f"{total_cancelled} ongoing batch export backfill{'s' if total_cancelled > 1 else ''} " f"{'were' if total_cancelled > 1 else 'was'} cancelled due to exceeding failure threshold " " and exhausting all automated retries." @@ -537,10 +537,10 @@ async def finish_batch_export_run(inputs: FinishBatchExportRunInputs) -> None: ) elif batch_export_run.status == BatchExportRun.Status.CANCELLED: - logger.warning("Batch export was cancelled") + await logger.awarning("Batch export was cancelled") else: - logger.info( + await logger.ainfo( "Successfully finished exporting batch %s - %s", batch_export_run.data_interval_start, batch_export_run.data_interval_end, @@ -652,7 +652,7 @@ async def create_batch_export_backfill_model(inputs: CreateBatchExportBackfillIn model instance to represent them in our database. """ logger = await bind_temporal_worker_logger(team_id=inputs.team_id) - logger.info( + await logger.ainfo( "Creating historical export for batches in range %s - %s", inputs.start_at, inputs.end_at, @@ -685,13 +685,13 @@ async def update_batch_export_backfill_model_status(inputs: UpdateBatchExportBac logger = await bind_temporal_worker_logger(team_id=backfill.team_id) if backfill.status in (BatchExportBackfill.Status.FAILED, BatchExportBackfill.Status.FAILED_RETRYABLE): - logger.error("Historical export failed") + await logger.aerror("Historical export failed") elif backfill.status == BatchExportBackfill.Status.CANCELLED: - logger.warning("Historical export was cancelled.") + await logger.awarning("Historical export was cancelled.") else: - logger.info( + await logger.ainfo( "Successfully finished exporting historical batches in %s - %s", backfill.start_at, backfill.end_at, diff --git a/posthog/temporal/batch_exports/bigquery_batch_export.py b/posthog/temporal/batch_exports/bigquery_batch_export.py index 3e80dd51bdf3d..9da8c89e56e53 100644 --- a/posthog/temporal/batch_exports/bigquery_batch_export.py +++ b/posthog/temporal/batch_exports/bigquery_batch_export.py @@ -328,7 +328,7 @@ def bigquery_default_fields() -> list[BatchExportField]: async def insert_into_bigquery_activity(inputs: BigQueryInsertInputs) -> RecordsCompleted: """Activity streams data from ClickHouse to BigQuery.""" logger = await bind_temporal_worker_logger(team_id=inputs.team_id, destination="BigQuery") - logger.info( + await logger.ainfo( "Batch exporting range %s - %s to BigQuery: %s.%s.%s", inputs.data_interval_start, inputs.data_interval_end, @@ -446,7 +446,7 @@ async def flush_to_bigquery( last: bool, error: Exception | None, ): - logger.debug( + await logger.adebug( "Loading %s records of size %s bytes", records_since_last_flush, bytes_since_last_flush, diff --git a/posthog/temporal/batch_exports/postgres_batch_export.py b/posthog/temporal/batch_exports/postgres_batch_export.py index 2fcb13b35d95a..89b4518940799 100644 --- a/posthog/temporal/batch_exports/postgres_batch_export.py +++ b/posthog/temporal/batch_exports/postgres_batch_export.py @@ -434,7 +434,7 @@ def get_postgres_fields_from_record_schema( async def insert_into_postgres_activity(inputs: PostgresInsertInputs) -> RecordsCompleted: """Activity streams data from ClickHouse to Postgres.""" logger = await bind_temporal_worker_logger(team_id=inputs.team_id, destination="PostgreSQL") - logger.info( + await logger.ainfo( "Batch exporting range %s - %s to PostgreSQL: %s.%s.%s", inputs.data_interval_start, inputs.data_interval_end, @@ -538,7 +538,7 @@ async def flush_to_postgres( last: bool, error: Exception | None, ): - logger.debug( + await logger.adebug( "Copying %s records of size %s bytes", records_since_last_flush, bytes_since_last_flush, diff --git a/posthog/temporal/batch_exports/redshift_batch_export.py b/posthog/temporal/batch_exports/redshift_batch_export.py index 9cc083b7fe3c3..8fff641bb3620 100644 --- a/posthog/temporal/batch_exports/redshift_batch_export.py +++ b/posthog/temporal/batch_exports/redshift_batch_export.py @@ -366,7 +366,7 @@ async def insert_into_redshift_activity(inputs: RedshiftInsertInputs) -> Records fields. """ logger = await bind_temporal_worker_logger(team_id=inputs.team_id, destination="Redshift") - logger.info( + await logger.ainfo( "Batch exporting range %s - %s to Redshift: %s.%s.%s", inputs.data_interval_start, inputs.data_interval_end, diff --git a/posthog/temporal/batch_exports/s3_batch_export.py b/posthog/temporal/batch_exports/s3_batch_export.py index 95d0d32f892fe..076fcd5cf773e 100644 --- a/posthog/temporal/batch_exports/s3_batch_export.py +++ b/posthog/temporal/batch_exports/s3_batch_export.py @@ -441,7 +441,7 @@ async def initialize_and_resume_multipart_upload(inputs: S3InsertInputs) -> tupl except IndexError: # This is the error we expect when no details as the sequence will be empty. interval_start = inputs.data_interval_start - logger.debug( + await logger.adebug( "Did not receive details from previous activity Execution. Export will start from the beginning %s", interval_start, ) @@ -449,12 +449,12 @@ async def initialize_and_resume_multipart_upload(inputs: S3InsertInputs) -> tupl # We still start from the beginning, but we make a point to log unexpected errors. # Ideally, any new exceptions should be added to the previous block after the first time and we will never land here. interval_start = inputs.data_interval_start - logger.warning( + await logger.awarning( "Did not receive details from previous activity Execution due to an unexpected error. Export will start from the beginning %s", interval_start, ) else: - logger.info( + await logger.ainfo( "Received details from previous activity. Export will attempt to resume from %s", interval_start, ) @@ -464,7 +464,7 @@ async def initialize_and_resume_multipart_upload(inputs: S3InsertInputs) -> tupl # Even if we receive details we cannot resume a brotli compressed upload as we have lost the compressor state. interval_start = inputs.data_interval_start - logger.info( + await logger.ainfo( f"Export will start from the beginning as we are using brotli compression: %s", interval_start, ) @@ -502,7 +502,7 @@ async def insert_into_s3_activity(inputs: S3InsertInputs) -> RecordsCompleted: files. """ logger = await bind_temporal_worker_logger(team_id=inputs.team_id, destination="S3") - logger.info( + await logger.ainfo( "Batch exporting range %s - %s to S3: %s", inputs.data_interval_start, inputs.data_interval_end, @@ -557,14 +557,14 @@ async def flush_to_s3( error: Exception | None, ): if error is not None: - logger.debug("Error while writing part %d", s3_upload.part_number + 1, exc_info=error) - logger.warn( + await logger.adebug("Error while writing part %d", s3_upload.part_number + 1, exc_info=error) + await logger.awarn( "An error was detected while writing part %d. Partial part will not be uploaded in case it can be retried.", s3_upload.part_number + 1, ) return - logger.debug( + await logger.adebug( "Uploading %s part %s containing %s records with size %s bytes", "last " if last else "", s3_upload.part_number + 1, diff --git a/posthog/temporal/batch_exports/snowflake_batch_export.py b/posthog/temporal/batch_exports/snowflake_batch_export.py index ad0afb833e176..82408017fc326 100644 --- a/posthog/temporal/batch_exports/snowflake_batch_export.py +++ b/posthog/temporal/batch_exports/snowflake_batch_export.py @@ -540,7 +540,7 @@ async def insert_into_snowflake_activity(inputs: SnowflakeInsertInputs) -> Recor TODO: We're using JSON here, it's not the most efficient way to do this. """ logger = await bind_temporal_worker_logger(team_id=inputs.team_id, destination="Snowflake") - logger.info( + await logger.ainfo( "Batch exporting range %s - %s to Snowflake: %s.%s.%s", inputs.data_interval_start, inputs.data_interval_end, diff --git a/posthog/temporal/common/utils.py b/posthog/temporal/common/utils.py index e20062db9cc23..fc8a77cadea81 100644 --- a/posthog/temporal/common/utils.py +++ b/posthog/temporal/common/utils.py @@ -1,5 +1,5 @@ -import collections.abc import abc +import collections.abc import dataclasses import datetime as dt import typing @@ -126,23 +126,23 @@ async def should_resume_from_activity_heartbeat( except NotEnoughHeartbeatValuesError: heartbeat_details = None received = False - logger.warning("Details from previous activity execution did not contain the expected amount of values") + await logger.awarning("Details from previous activity execution did not contain the expected amount of values") except HeartbeatParseError: heartbeat_details = None received = False - logger.warning("Details from previous activity execution could not be parsed.") + await logger.awarning("Details from previous activity execution could not be parsed.") except Exception: # We should start from the beginning, but we make a point to log unexpected errors. # Ideally, any new exceptions should be added to the previous blocks after the first time and we will never land here. heartbeat_details = None received = False - logger.exception("Did not receive details from previous activity Execution due to an unexpected error") + await logger.aexception("Did not receive details from previous activity Execution due to an unexpected error") else: received = True - logger.debug( + await logger.adebug( f"Received details from previous activity: {heartbeat_details}", ) From dacc610499b547269abeea2d27766f1350bf09c3 Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Fri, 6 Sep 2024 09:16:28 +0100 Subject: [PATCH 17/66] fix: rrweb player now has a destroy method (#24826) --- .../session-recordings/player/sessionRecordingPlayerLogic.ts | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/frontend/src/scenes/session-recordings/player/sessionRecordingPlayerLogic.ts b/frontend/src/scenes/session-recordings/player/sessionRecordingPlayerLogic.ts index dd56272db691a..7bede32af5ad9 100644 --- a/frontend/src/scenes/session-recordings/player/sessionRecordingPlayerLogic.ts +++ b/frontend/src/scenes/session-recordings/player/sessionRecordingPlayerLogic.ts @@ -1063,7 +1063,7 @@ export const sessionRecordingPlayerLogic = kea( cache.hasInitialized = false document.removeEventListener('fullscreenchange', cache.fullScreenListener) cache.pausedMediaElements = [] - values.player?.replayer?.pause() + values.player?.replayer?.destroy() actions.setPlayer(null) cache.unmountConsoleWarns?.() From 4f2c08dee394e0819e092f2cefa32becacf90511 Mon Sep 17 00:00:00 2001 From: Frank Hamand Date: Fri, 6 Sep 2024 09:22:43 +0100 Subject: [PATCH 18/66] chore: refactor RedisLimiter to update async out of the hot path (#24818) --- rust/capture/src/limiters/redis.rs | 187 +++++++++++----------------- rust/capture/src/server.rs | 7 +- rust/capture/src/v0_endpoint.rs | 31 +---- rust/capture/tests/django_compat.rs | 10 +- 4 files changed, 90 insertions(+), 145 deletions(-) diff --git a/rust/capture/src/limiters/redis.rs b/rust/capture/src/limiters/redis.rs index 132f09df77513..cc7e7d119d89b 100644 --- a/rust/capture/src/limiters/redis.rs +++ b/rust/capture/src/limiters/redis.rs @@ -1,5 +1,11 @@ use metrics::gauge; -use std::{collections::HashSet, ops::Sub, sync::Arc}; +use std::time::Duration as StdDuration; +use std::{collections::HashSet, sync::Arc}; +use time::{Duration, OffsetDateTime}; +use tokio::sync::RwLock; +use tokio::task; +use tokio::time::interval; +use tracing::instrument; use crate::redis::Client; @@ -17,18 +23,12 @@ use crate::redis::Client; /// 2. Capture should cope with redis being _totally down_, and fail open /// 3. We should not hit redis for every single request /// -/// The solution here is to read from the cache until a time interval is hit, and then fetch new -/// data. The write requires taking a lock that stalls all readers, though so long as redis reads -/// stay fast we're ok. +/// The solution here is to read from the cache and update the set in a background thread. +/// We have to lock all readers briefly while we update the set, but we don't hold the lock +/// until we already have the response from redis so it should be very short. /// /// Some small delay between an account being limited and the limit taking effect is acceptable. /// However, ideally we should not allow requests from some pods but 429 from others. -use thiserror::Error; -use time::{Duration, OffsetDateTime}; -use tokio::sync::RwLock; -use tracing::instrument; - -// todo: fetch from env const QUOTA_LIMITER_CACHE_KEY: &str = "@posthog/quota-limits/"; #[derive(Debug)] @@ -46,19 +46,12 @@ impl QuotaResource { } } -#[derive(Error, Debug)] -pub enum LimiterError { - #[error("updater already running - there can only be one")] - UpdaterRunning, -} - #[derive(Clone)] pub struct RedisLimiter { limited: Arc>>, redis: Arc, - redis_key_prefix: String, + key: String, interval: Duration, - updated: Arc>, } impl RedisLimiter { @@ -74,98 +67,67 @@ impl RedisLimiter { interval: Duration, redis: Arc, redis_key_prefix: Option, + resource: QuotaResource, ) -> anyhow::Result { let limited = Arc::new(RwLock::new(HashSet::new())); + let key_prefix = redis_key_prefix.unwrap_or_default(); - // Force an update immediately if we have any reasonable interval - let updated = OffsetDateTime::from_unix_timestamp(0)?; - let updated = Arc::new(RwLock::new(updated)); - - Ok(RedisLimiter { + let limiter = RedisLimiter { interval, limited, - updated, - redis, - redis_key_prefix: redis_key_prefix.unwrap_or_default(), - }) + redis: redis.clone(), + key: format!("{key_prefix}{QUOTA_LIMITER_CACHE_KEY}{}", resource.as_str()), + }; + + // Spawn a background task to periodically fetch data from Redis + limiter.spawn_background_update(); + + Ok(limiter) + } + + fn spawn_background_update(&self) { + let limited = Arc::clone(&self.limited); + let redis = Arc::clone(&self.redis); + let interval_duration = StdDuration::from_nanos(self.interval.whole_nanoseconds() as u64); + let key = self.key.clone(); + + // Spawn a task to periodically update the cache from Redis + task::spawn(async move { + let mut interval = interval(interval_duration); + loop { + match RedisLimiter::fetch_limited(&redis, &key).await { + Ok(set) => { + let set = HashSet::from_iter(set.iter().cloned()); + gauge!("capture_billing_limits_loaded_tokens",).set(set.len() as f64); + + let mut limited_lock = limited.write().await; + *limited_lock = set; + } + Err(e) => { + tracing::error!("Failed to update cache from Redis: {:?}", e); + } + } + + interval.tick().await; + } + }); } #[instrument(skip_all)] async fn fetch_limited( client: &Arc, - key_prefix: &str, - resource: &QuotaResource, + key: &String, ) -> anyhow::Result> { let now = OffsetDateTime::now_utc().unix_timestamp(); - let key = format!("{key_prefix}{QUOTA_LIMITER_CACHE_KEY}{}", resource.as_str()); client - .zrangebyscore(key, now.to_string(), String::from("+Inf")) + .zrangebyscore(key.to_string(), now.to_string(), String::from("+Inf")) .await } - #[instrument(skip_all, fields(key = key))] - pub async fn is_limited(&self, key: &str, resource: QuotaResource) -> bool { - // hold the read lock to clone it, very briefly. clone is ok because it's very small 🤏 - // rwlock can have many readers, but one writer. the writer will wait in a queue with all - // the readers, so we want to hold read locks for the smallest time possible to avoid - // writers waiting for too long. and vice versa. - let updated = { - let updated = self.updated.read().await; - *updated - }; - - let now = OffsetDateTime::now_utc(); - let since_update = now.sub(updated); - - // If an update is due, fetch the set from redis + cache it until the next update is due. - // Otherwise, return a value from the cache - // - // This update will block readers! Keep it fast. - if since_update > self.interval { - // open the update lock to change the update, and prevent anyone else from doing so - let mut updated = self.updated.write().await; - *updated = OffsetDateTime::now_utc(); - - let span = tracing::debug_span!("updating billing cache from redis"); - let _span = span.enter(); - - // a few requests might end up in here concurrently, but I don't think a few extra will - // be a big problem. If it is, we can rework the concurrency a bit. - // On prod atm we call this around 15 times per second at peak times, and it usually - // completes in <1ms. - - let set = Self::fetch_limited(&self.redis, &self.redis_key_prefix, &resource).await; - - tracing::debug!("fetched set from redis, caching"); - - if let Ok(set) = set { - let set = HashSet::from_iter(set.iter().cloned()); - gauge!( - "capture_billing_limits_loaded_tokens", - "resource" => resource.as_str(), - ) - .set(set.len() as f64); - - let mut limited = self.limited.write().await; - *limited = set; - - tracing::debug!("updated cache from redis"); - - limited.contains(key) - } else { - tracing::error!("failed to fetch from redis in time, failing open"); - // If we fail to fetch the set, something really wrong is happening. To avoid - // dropping events that we don't mean to drop, fail open and accept data. Better - // than angry customers :) - // - // TODO: Consider backing off our redis checks - false - } - } else { - let l = self.limited.read().await; - - l.contains(key) - } + #[instrument(skip_all, fields(value = value))] + pub async fn is_limited(&self, value: &str) -> bool { + let limited = self.limited.read().await; + limited.contains(value) } } @@ -185,15 +147,12 @@ mod tests { .zrangebyscore_ret("@posthog/quota-limits/events", vec![String::from("banana")]); let client = Arc::new(client); - let limiter = RedisLimiter::new(Duration::microseconds(1), client, None) + let limiter = RedisLimiter::new(Duration::seconds(1), client, None, QuotaResource::Events) .expect("Failed to create billing limiter"); + tokio::time::sleep(std::time::Duration::from_millis(30)).await; - assert!( - !limiter - .is_limited("not_limited", QuotaResource::Events) - .await, - ); - assert!(limiter.is_limited("banana", QuotaResource::Events).await); + assert!(!limiter.is_limited("not_limited").await); + assert!(limiter.is_limited("banana").await); } #[tokio::test] @@ -205,27 +164,27 @@ mod tests { let client = Arc::new(client); // Default lookup without prefix fails - let limiter = RedisLimiter::new(Duration::microseconds(1), client.clone(), None) - .expect("Failed to create billing limiter"); - assert!(!limiter.is_limited("banana", QuotaResource::Events).await); + let limiter = RedisLimiter::new( + Duration::seconds(1), + client.clone(), + None, + QuotaResource::Events, + ) + .expect("Failed to create billing limiter"); + tokio::time::sleep(std::time::Duration::from_millis(30)).await; + assert!(!limiter.is_limited("banana").await); // Limiter using the correct prefix let prefixed_limiter = RedisLimiter::new( Duration::microseconds(1), client, Some("prefix//".to_string()), + QuotaResource::Events, ) .expect("Failed to create billing limiter"); + tokio::time::sleep(std::time::Duration::from_millis(30)).await; - assert!( - !prefixed_limiter - .is_limited("not_limited", QuotaResource::Events) - .await, - ); - assert!( - prefixed_limiter - .is_limited("banana", QuotaResource::Events) - .await - ); + assert!(!prefixed_limiter.is_limited("not_limited").await); + assert!(prefixed_limiter.is_limited("banana").await); } } diff --git a/rust/capture/src/server.rs b/rust/capture/src/server.rs index 93ff3f646c3bc..bb6f7aaf5dd5b 100644 --- a/rust/capture/src/server.rs +++ b/rust/capture/src/server.rs @@ -6,10 +6,11 @@ use health::{ComponentStatus, HealthRegistry}; use time::Duration; use tokio::net::TcpListener; +use crate::config::CaptureMode; use crate::config::Config; use crate::limiters::overflow::OverflowLimiter; -use crate::limiters::redis::RedisLimiter; +use crate::limiters::redis::{QuotaResource, RedisLimiter}; use crate::redis::RedisClient; use crate::router; use crate::sinks::kafka::KafkaSink; @@ -28,6 +29,10 @@ where Duration::seconds(5), redis_client.clone(), config.redis_key_prefix, + match config.capture_mode { + CaptureMode::Events => QuotaResource::Events, + CaptureMode::Recordings => QuotaResource::Recordings, + }, ) .expect("failed to create billing limiter"); diff --git a/rust/capture/src/v0_endpoint.rs b/rust/capture/src/v0_endpoint.rs index 03b550cd9cdaf..e01b9cbf5bc22 100644 --- a/rust/capture/src/v0_endpoint.rs +++ b/rust/capture/src/v0_endpoint.rs @@ -13,7 +13,6 @@ use serde_json::json; use serde_json::Value; use tracing::instrument; -use crate::limiters::redis::QuotaResource; use crate::prometheus::report_dropped_events; use crate::v0_request::{Compression, ProcessingContext, RawRequest}; use crate::{ @@ -29,7 +28,6 @@ use crate::{ /// /// Because it must accommodate several shapes, it is inefficient in places. A v1 /// endpoint should be created, that only accepts the BatchedRequest payload shape. -#[allow(clippy::too_many_arguments)] async fn handle_common( state: &State, InsecureClientIp(ip): &InsecureClientIp, @@ -37,7 +35,6 @@ async fn handle_common( headers: &HeaderMap, method: &Method, path: &MatchedPath, - quota_resource: QuotaResource, body: Bytes, ) -> Result<(ProcessingContext, Vec), CaptureError> { let user_agent = headers @@ -119,7 +116,7 @@ async fn handle_common( let billing_limited = state .billing_limiter - .is_limited(context.token.as_str(), quota_resource) + .is_limited(context.token.as_str()) .await; if billing_limited { @@ -157,18 +154,7 @@ pub async fn event( path: MatchedPath, body: Bytes, ) -> Result, CaptureError> { - match handle_common( - &state, - &ip, - &meta, - &headers, - &method, - &path, - QuotaResource::Events, - body, - ) - .await - { + match handle_common(&state, &ip, &meta, &headers, &method, &path, body).await { Err(CaptureError::BillingLimit) => { // for v0 we want to just return ok 🙃 // this is because the clients are pretty dumb and will just retry over and over and @@ -227,18 +213,7 @@ pub async fn recording( path: MatchedPath, body: Bytes, ) -> Result, CaptureError> { - match handle_common( - &state, - &ip, - &meta, - &headers, - &method, - &path, - QuotaResource::Recordings, - body, - ) - .await - { + match handle_common(&state, &ip, &meta, &headers, &method, &path, body).await { Err(CaptureError::BillingLimit) => Ok(Json(CaptureResponse { status: CaptureResponseCode::Ok, quota_limited: Some(vec!["recordings".to_string()]), diff --git a/rust/capture/tests/django_compat.rs b/rust/capture/tests/django_compat.rs index d08be11c7506c..a5f81aa589c51 100644 --- a/rust/capture/tests/django_compat.rs +++ b/rust/capture/tests/django_compat.rs @@ -6,6 +6,7 @@ use base64::engine::general_purpose; use base64::Engine; use capture::api::{CaptureError, CaptureResponse, CaptureResponseCode, DataType, ProcessedEvent}; use capture::config::CaptureMode; +use capture::limiters::redis::QuotaResource; use capture::limiters::redis::RedisLimiter; use capture::redis::MockRedisClient; use capture::router::router; @@ -101,8 +102,13 @@ async fn it_matches_django_capture_behaviour() -> anyhow::Result<()> { let timesource = FixedTime { time: case.now }; let redis = Arc::new(MockRedisClient::new()); - let billing_limiter = RedisLimiter::new(Duration::weeks(1), redis.clone(), None) - .expect("failed to create billing limiter"); + let billing_limiter = RedisLimiter::new( + Duration::weeks(1), + redis.clone(), + None, + QuotaResource::Events, + ) + .expect("failed to create billing limiter"); let app = router( timesource, From be8187a6d66e73375b89816264b0cd1228545073 Mon Sep 17 00:00:00 2001 From: Marius Andra Date: Fri, 6 Sep 2024 11:05:48 +0200 Subject: [PATCH 19/66] feat(cdp): sendgrid template updates (#24814) --- posthog/cdp/templates/__init__.py | 3 +- .../templates/sendgrid/template_sendgrid.py | 110 ++++++++++++-- .../sendgrid/test_template_sendgrid.py | 139 +++++++++++++++++- posthog/hogql/bytecode.py | 8 + 4 files changed, 242 insertions(+), 18 deletions(-) diff --git a/posthog/cdp/templates/__init__.py b/posthog/cdp/templates/__init__.py index f1f0243c08cd5..f22dff929f3e5 100644 --- a/posthog/cdp/templates/__init__.py +++ b/posthog/cdp/templates/__init__.py @@ -3,7 +3,7 @@ from .hubspot.template_hubspot import template as hubspot from .customerio.template_customerio import template as customerio, TemplateCustomerioMigrator from .intercom.template_intercom import template as intercom, TemplateIntercomMigrator -from .sendgrid.template_sendgrid import template as sendgrid +from .sendgrid.template_sendgrid import template as sendgrid, TemplateSendGridMigrator from .clearbit.template_clearbit import template as clearbit from .posthog.template_posthog import template as posthog from .aws_kinesis.template_aws_kinesis import template as aws_kinesis @@ -44,6 +44,7 @@ HOG_FUNCTION_MIGRATORS = { TemplateCustomerioMigrator.plugin_url: TemplateCustomerioMigrator, TemplateIntercomMigrator.plugin_url: TemplateIntercomMigrator, + TemplateSendGridMigrator.plugin_url: TemplateSendGridMigrator, } __all__ = ["HOG_FUNCTION_TEMPLATES", "HOG_FUNCTION_TEMPLATES_BY_ID"] diff --git a/posthog/cdp/templates/sendgrid/template_sendgrid.py b/posthog/cdp/templates/sendgrid/template_sendgrid.py index cdd0aa625bcde..a3d111a88c4b4 100644 --- a/posthog/cdp/templates/sendgrid/template_sendgrid.py +++ b/posthog/cdp/templates/sendgrid/template_sendgrid.py @@ -1,4 +1,7 @@ -from posthog.cdp.templates.hog_function_template import HogFunctionTemplate +import dataclasses +from copy import deepcopy + +from posthog.cdp.templates.hog_function_template import HogFunctionTemplate, HogFunctionTemplateMigrator # Based off of https://www.twilio.com/docs/sendgrid/api-reference/contacts/add-or-update-a-contact @@ -9,15 +12,13 @@ description="Update marketing contacts in Sendgrid", icon_url="/static/services/sendgrid.png", hog=""" -let email := inputs.email - -if (empty(email)) { +if (empty(inputs.email)) { print('`email` input is empty. Not updating contacts.') return } let contact := { - 'email': email, + 'email': inputs.email, } for (let key, value in inputs.properties) { @@ -26,15 +27,32 @@ } } +let headers := { + 'Authorization': f'Bearer {inputs.api_key}', + 'Content-Type': 'application/json' +} + +if (not empty(inputs.custom_fields)) { + let response := fetch('https://api.sendgrid.com/v3/marketing/field_definitions', { + 'method': 'GET', + 'headers': headers + }) + if (response.status != 200) { + throw Error(f'Could not fetch custom fields. Status: {response.status}') + } + contact['custom_fields'] := {} + for (let obj in response.body?.custom_fields ?? {}) { + let inputValue := inputs.custom_fields[obj.name] + if (not empty(inputValue)) { + contact['custom_fields'][obj.id] := inputValue + } + } +} + let res := fetch('https://api.sendgrid.com/v3/marketing/contacts', { 'method': 'PUT', - 'headers': { - 'Authorization': f'Bearer {inputs.api_key}', - 'Content-Type': 'application/json' - }, - 'body': { - 'contacts': [contact] - } + 'headers': headers, + 'body': { 'contacts': [contact] } }) if (res.status > 300) { @@ -61,11 +79,11 @@ { "key": "properties", "type": "dictionary", - "label": "Property mapping", - "description": "Map of reserved properties (https://www.twilio.com/docs/sendgrid/api-reference/contacts/add-or-update-a-contact)", + "label": "Reserved fields", + "description": "The following field names are allowed: address_line_1, address_line_2, alternate_emails, anonymous_id, city, country, email, external_id, facebook, first_name, last_name, phone_number_id, postal_code, state_province_region, unique_name, whatsapp.", "default": { - "last_name": "{person.properties.last_name}", "first_name": "{person.properties.first_name}", + "last_name": "{person.properties.last_name}", "city": "{person.properties.city}", "country": "{person.properties.country}", "postal_code": "{person.properties.postal_code}", @@ -73,7 +91,15 @@ "secret": False, "required": True, }, - # TODO: Add dynamic code for loading custom fields + { + "key": "custom_fields", + "type": "dictionary", + "label": "Custom fields", + "description": "Configure custom fields in SendGrid before using them here: https://mc.sendgrid.com/custom-fields", + "default": {}, + "secret": False, + "required": False, + }, ], filters={ "events": [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}], @@ -81,3 +107,55 @@ "filter_test_accounts": True, }, ) + + +class TemplateSendGridMigrator(HogFunctionTemplateMigrator): + plugin_url = "https://github.com/PostHog/sendgrid-plugin" + + @classmethod + def migrate(cls, obj): + hf = deepcopy(dataclasses.asdict(template)) + + sendgridApiKey = obj.config.get("sendgridApiKey", "") + customFields = obj.config.get("customFields", "") + sendgrid_fields = [ + "address_line_1", + "address_line_2", + "alternate_emails", + "anonymous_id", + "city", + "country", + "email", + "external_id", + "facebook", + "first_name", + "last_name", + "phone_number_id", + "postal_code", + "state_province_region", + "unique_name", + "whatsapp", + ] + + hf["filters"] = {} + hf["filters"]["events"] = [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}] + + hf["inputs"] = { + "api_key": {"value": sendgridApiKey}, + "email": {"value": "{person.properties.email}"}, + "properties": {"value": {}}, + "custom_fields": {"value": {}}, + } + if customFields: + for field in customFields.split(","): + if "=" in field: + posthog_prop, sendgrid_field = field.split("=") + else: + posthog_prop = sendgrid_field = field.strip() + posthog_prop = f"{{person.properties.{posthog_prop}}}" + if sendgrid_field in sendgrid_fields: + hf["inputs"]["properties"]["value"][sendgrid_field] = posthog_prop + else: + hf["inputs"]["custom_fields"]["value"][sendgrid_field] = posthog_prop + + return hf diff --git a/posthog/cdp/templates/sendgrid/test_template_sendgrid.py b/posthog/cdp/templates/sendgrid/test_template_sendgrid.py index 22bc8a39cebf6..eab55f1153b69 100644 --- a/posthog/cdp/templates/sendgrid/test_template_sendgrid.py +++ b/posthog/cdp/templates/sendgrid/test_template_sendgrid.py @@ -1,6 +1,8 @@ from inline_snapshot import snapshot from posthog.cdp.templates.helpers import BaseHogFunctionTemplateTest -from posthog.cdp.templates.sendgrid.template_sendgrid import template as template_sendgrid +from posthog.cdp.templates.sendgrid.template_sendgrid import template as template_sendgrid, TemplateSendGridMigrator +from posthog.models import PluginConfig +from posthog.test.base import BaseTest class TestTemplateSendgrid(BaseHogFunctionTemplateTest): @@ -47,3 +49,138 @@ def test_function_doesnt_include_empty_properties(self): assert self.get_mock_fetch_calls()[0][1]["body"]["contacts"] == snapshot( [{"email": "example@posthog.com", "last_name": "included"}] ) + + def test_function_adds_custom_fields(self): + self.mock_fetch_response = lambda *args: { # type: ignore + "status": 200, + "body": {"custom_fields": [{"id": "id7", "name": "custom_field"}]}, + } + + res = self.run_function( + inputs=self._inputs( + custom_fields={"custom_field": "custom_value"}, + ) + ) + assert res.result is None + + assert self.get_mock_fetch_calls()[0] == snapshot( + ( + "https://api.sendgrid.com/v3/marketing/field_definitions", + { + "method": "GET", + "headers": {"Authorization": "Bearer API_KEY", "Content-Type": "application/json"}, + }, + ) + ) + + assert self.get_mock_fetch_calls()[1] == snapshot( + ( + "https://api.sendgrid.com/v3/marketing/contacts", + { + "method": "PUT", + "headers": {"Authorization": "Bearer API_KEY", "Content-Type": "application/json"}, + "body": { + "contacts": [ + { + "email": "example@posthog.com", + "last_name": "example", + "custom_fields": {"id7": "custom_value"}, + } + ] + }, + }, + ) + ) + + +class TestTemplateMigration(BaseTest): + def get_plugin_config(self, config: dict): + _config = { + "sendgridApiKey": "SENDGRID_API_KEY", + "customFields": "", + } + _config.update(config) + return PluginConfig(enabled=True, order=0, config=_config) + + def test_empty_fields(self): + obj = self.get_plugin_config({}) + + template = TemplateSendGridMigrator.migrate(obj) + assert template["inputs"] == snapshot( + { + "api_key": {"value": "SENDGRID_API_KEY"}, + "email": {"value": "{person.properties.email}"}, + "custom_fields": {"value": {}}, + "properties": {"value": {}}, + } + ) + assert template["filters"] == snapshot( + {"events": [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}]} + ) + + def test_default_properties(self): + obj = self.get_plugin_config({"customFields": "last_name,first_name"}) + + template = TemplateSendGridMigrator.migrate(obj) + assert template["inputs"] == snapshot( + { + "api_key": {"value": "SENDGRID_API_KEY"}, + "email": {"value": "{person.properties.email}"}, + "custom_fields": {"value": {}}, + "properties": { + "value": { + "last_name": "{person.properties.last_name}", + "first_name": "{person.properties.first_name}", + } + }, + } + ) + assert template["filters"] == snapshot( + {"events": [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}]} + ) + + def test_custom_fields(self): + obj = self.get_plugin_config({"customFields": "last_name,first_name,misc_name,banana"}) + + template = TemplateSendGridMigrator.migrate(obj) + assert template["inputs"] == snapshot( + { + "api_key": {"value": "SENDGRID_API_KEY"}, + "email": {"value": "{person.properties.email}"}, + "custom_fields": { + "value": {"misc_name": "{person.properties.misc_name}", "banana": "{person.properties.banana}"} + }, + "properties": { + "value": { + "last_name": "{person.properties.last_name}", + "first_name": "{person.properties.first_name}", + } + }, + } + ) + assert template["filters"] == snapshot( + {"events": [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}]} + ) + + def test_property_rename(self): + obj = self.get_plugin_config({"customFields": "$lastName=last_name,first_name,misc_name,$pineapple=banana"}) + + template = TemplateSendGridMigrator.migrate(obj) + assert template["inputs"] == snapshot( + { + "api_key": {"value": "SENDGRID_API_KEY"}, + "email": {"value": "{person.properties.email}"}, + "custom_fields": { + "value": {"misc_name": "{person.properties.misc_name}", "banana": "{person.properties.$pineapple}"} + }, + "properties": { + "value": { + "last_name": "{person.properties.$lastName}", + "first_name": "{person.properties.first_name}", + } + }, + } + ) + assert template["filters"] == snapshot( + {"events": [{"id": "$identify", "name": "$identify", "type": "events", "order": 0}]} + ) diff --git a/posthog/hogql/bytecode.py b/posthog/hogql/bytecode.py index b0f0e290017fb..523a03d37a4f8 100644 --- a/posthog/hogql/bytecode.py +++ b/posthog/hogql/bytecode.py @@ -391,6 +391,14 @@ def visit_block(self, node: ast.Block): def visit_expr_statement(self, node: ast.ExprStatement): if node.expr is None: return [] + if isinstance(node.expr, ast.CompareOperation) and node.expr.op == ast.CompareOperationOp.Eq: + self.context.warnings.append( + HogQLNotice( + start=node.start, + end=node.end, + message="You must use ':=' for assignment instead of '='.", + ) + ) response = self.visit(node.expr) response.append(Operation.POP) return response From 28f3367806f91ece88a3f02f78119ecb21a35d41 Mon Sep 17 00:00:00 2001 From: Marius Andra Date: Fri, 6 Sep 2024 11:12:41 +0200 Subject: [PATCH 20/66] fix(hog): bools and numbers are not "empty" (#24835) --- hogvm/__tests__/__snapshots__/stl.hoge | 21 +++++++++++---------- hogvm/__tests__/__snapshots__/stl.stdout | 12 ++++++++---- hogvm/__tests__/stl.hog | 4 ++++ hogvm/python/stl/__init__.py | 12 ++++++++++-- hogvm/typescript/package.json | 2 +- hogvm/typescript/src/stl/stl.ts | 2 ++ package.json | 2 +- plugin-server/package.json | 2 +- plugin-server/pnpm-lock.yaml | 8 ++++---- pnpm-lock.yaml | 14 +++++++------- 10 files changed, 49 insertions(+), 30 deletions(-) diff --git a/hogvm/__tests__/__snapshots__/stl.hoge b/hogvm/__tests__/__snapshots__/stl.hoge index 3f842a7d4156f..35cad3352f54c 100644 --- a/hogvm/__tests__/__snapshots__/stl.hoge +++ b/hogvm/__tests__/__snapshots__/stl.hoge @@ -14,13 +14,14 @@ "print", 1, 35, 32, "string", 2, "empty", 1, 2, "print", 1, 35, 32, "0", 2, "empty", 1, 2, "print", 1, 35, 43, 0, 2, "empty", 1, 2, "print", 1, 35, 42, 0, 2, "empty", 1, 2, "print", 1, 35, 2, "tuple", 0, 2, "empty", 1, 2, "print", 1, 35, 33, 0, 2, "tuple", 1, 2, "empty", 1, 2, "print", 1, 35, 33, 1, 33, 2, 2, "tuple", 2, 2, "empty", 1, 2, "print", 1, 35, -32, "", 2, "print", 1, 35, 32, "-- notEmpty --", 2, "print", 1, 35, 31, 2, "notEmpty", 1, 2, "print", 1, 35, 33, 0, 2, -"notEmpty", 1, 2, "print", 1, 35, 33, 1, 2, "notEmpty", 1, 2, "print", 1, 35, 33, -1, 2, "notEmpty", 1, 2, "print", 1, -35, 34, 0.0, 2, "notEmpty", 1, 2, "print", 1, 35, 34, 0.01, 2, "notEmpty", 1, 2, "print", 1, 35, 32, "", 2, "notEmpty", -1, 2, "print", 1, 35, 32, "string", 2, "notEmpty", 1, 2, "print", 1, 35, 32, "0", 2, "notEmpty", 1, 2, "print", 1, 35, -43, 0, 2, "notEmpty", 1, 2, "print", 1, 35, 42, 0, 2, "notEmpty", 1, 2, "print", 1, 35, 2, "tuple", 0, 2, "notEmpty", 1, -2, "print", 1, 35, 33, 0, 2, "tuple", 1, 2, "notEmpty", 1, 2, "print", 1, 35, 33, 1, 33, 2, 2, "tuple", 2, 2, -"notEmpty", 1, 2, "print", 1, 35, 32, "", 2, "print", 1, 35, 32, "-- replaceAll, replaceOne --", 2, "print", 1, 35, 32, -"hello world", 32, "l", 32, "L", 2, "replaceAll", 3, 2, "print", 1, 35, 32, "hello world", 32, "l", 32, "L", 2, -"replaceOne", 3, 2, "print", 1, 35, 32, "", 2, "print", 1, 35, 32, "-- generateUUIDv4 --", 2, "print", 1, 35, 2, -"generateUUIDv4", 0, 2, "length", 1, 2, "print", 1, 35] +29, 2, "empty", 1, 2, "print", 1, 35, 30, 2, "empty", 1, 2, "print", 1, 35, 32, "", 2, "print", 1, 35, 32, +"-- notEmpty --", 2, "print", 1, 35, 31, 2, "notEmpty", 1, 2, "print", 1, 35, 33, 0, 2, "notEmpty", 1, 2, "print", 1, +35, 33, 1, 2, "notEmpty", 1, 2, "print", 1, 35, 33, -1, 2, "notEmpty", 1, 2, "print", 1, 35, 34, 0.0, 2, "notEmpty", 1, +2, "print", 1, 35, 34, 0.01, 2, "notEmpty", 1, 2, "print", 1, 35, 32, "", 2, "notEmpty", 1, 2, "print", 1, 35, 32, +"string", 2, "notEmpty", 1, 2, "print", 1, 35, 32, "0", 2, "notEmpty", 1, 2, "print", 1, 35, 43, 0, 2, "notEmpty", 1, 2, +"print", 1, 35, 42, 0, 2, "notEmpty", 1, 2, "print", 1, 35, 2, "tuple", 0, 2, "notEmpty", 1, 2, "print", 1, 35, 33, 0, +2, "tuple", 1, 2, "notEmpty", 1, 2, "print", 1, 35, 33, 1, 33, 2, 2, "tuple", 2, 2, "notEmpty", 1, 2, "print", 1, 35, +29, 2, "notEmpty", 1, 2, "print", 1, 35, 30, 2, "notEmpty", 1, 2, "print", 1, 35, 32, "", 2, "print", 1, 35, 32, +"-- replaceAll, replaceOne --", 2, "print", 1, 35, 32, "hello world", 32, "l", 32, "L", 2, "replaceAll", 3, 2, "print", +1, 35, 32, "hello world", 32, "l", 32, "L", 2, "replaceOne", 3, 2, "print", 1, 35, 32, "", 2, "print", 1, 35, 32, +"-- generateUUIDv4 --", 2, "print", 1, 35, 2, "generateUUIDv4", 0, 2, "length", 1, 2, "print", 1, 35] diff --git a/hogvm/__tests__/__snapshots__/stl.stdout b/hogvm/__tests__/__snapshots__/stl.stdout index d8c2ecb8d346a..f80a819686adc 100644 --- a/hogvm/__tests__/__snapshots__/stl.stdout +++ b/hogvm/__tests__/__snapshots__/stl.stdout @@ -17,10 +17,10 @@ tom & jerry -- empty -- true -true false false -true +false +false false true false @@ -30,13 +30,15 @@ true true false false +false +false -- notEmpty -- false -false true true -false +true +true true false true @@ -46,6 +48,8 @@ false false true true +true +true -- replaceAll, replaceOne -- heLLo worLd diff --git a/hogvm/__tests__/stl.hog b/hogvm/__tests__/stl.hog index 3fb041c261677..2343492d90d71 100644 --- a/hogvm/__tests__/stl.hog +++ b/hogvm/__tests__/stl.hog @@ -30,6 +30,8 @@ print(empty({})) print(empty(tuple())) print(empty(tuple(0))) print(empty(tuple(1,2))) +print(empty(true)) +print(empty(false)) print('') print('-- notEmpty --') print(notEmpty(null)) @@ -46,6 +48,8 @@ print(notEmpty({})) print(notEmpty(tuple())) print(notEmpty(tuple(0))) print(notEmpty(tuple(1,2))) +print(notEmpty(true)) +print(notEmpty(false)) print('') print('-- replaceAll, replaceOne --') print(replaceAll('hello world', 'l', 'L')) diff --git a/hogvm/python/stl/__init__.py b/hogvm/python/stl/__init__.py index a20b39d8c00bf..9312d6d5afbb8 100644 --- a/hogvm/python/stl/__init__.py +++ b/hogvm/python/stl/__init__.py @@ -100,6 +100,12 @@ def ifNull(args: list[Any], team: Optional["Team"], stdout: Optional[list[str]], return args[1] +def empty(args: list[Any], team: Optional["Team"], stdout: Optional[list[str]], timeout: float): + if isinstance(args[0], bool) or isinstance(args[0], int) or isinstance(args[0], float): + return False + return not bool(args[0]) + + def sleep(args: list[Any], team: Optional["Team"], stdout: Optional[list[str]], timeout: float): time.sleep(args[0]) return None @@ -367,8 +373,10 @@ def _typeof(args: list[Any], team: Optional["Team"], stdout: Optional[list[str]] "toFloat": STLFunction(fn=toFloat, minArgs=1, maxArgs=1), "ifNull": STLFunction(fn=ifNull, minArgs=2, maxArgs=2), "length": STLFunction(fn=lambda args, team, stdout, timeout: len(args[0]), minArgs=1, maxArgs=1), - "empty": STLFunction(fn=lambda args, team, stdout, timeout: not bool(args[0]), minArgs=1, maxArgs=1), - "notEmpty": STLFunction(fn=lambda args, team, stdout, timeout: bool(args[0]), minArgs=1, maxArgs=1), + "empty": STLFunction(fn=empty, minArgs=1, maxArgs=1), + "notEmpty": STLFunction( + fn=lambda args, team, stdout, timeout: not empty(args, team, stdout, timeout), minArgs=1, maxArgs=1 + ), "tuple": STLFunction(fn=lambda args, team, stdout, timeout: tuple(args), minArgs=0, maxArgs=None), "lower": STLFunction(fn=lambda args, team, stdout, timeout: args[0].lower(), minArgs=1, maxArgs=1), "upper": STLFunction(fn=lambda args, team, stdout, timeout: args[0].upper(), minArgs=1, maxArgs=1), diff --git a/hogvm/typescript/package.json b/hogvm/typescript/package.json index c02fa2faf7f9c..b046816d2aa9e 100644 --- a/hogvm/typescript/package.json +++ b/hogvm/typescript/package.json @@ -1,6 +1,6 @@ { "name": "@posthog/hogvm", - "version": "1.0.46", + "version": "1.0.47", "description": "PostHog Hog Virtual Machine", "types": "dist/index.d.ts", "source": "src/index.ts", diff --git a/hogvm/typescript/src/stl/stl.ts b/hogvm/typescript/src/stl/stl.ts index bb2fcb5280a6b..328621560c702 100644 --- a/hogvm/typescript/src/stl/stl.ts +++ b/hogvm/typescript/src/stl/stl.ts @@ -115,6 +115,8 @@ export const STL: Record = { return args[0].size === 0 } return Object.keys(args[0]).length === 0 + } else if (typeof args[0] === 'number' || typeof args[0] === 'boolean') { + return false } return !args[0] }, diff --git a/package.json b/package.json index f6837fc45cf67..56a02c6bb6967 100644 --- a/package.json +++ b/package.json @@ -77,7 +77,7 @@ "@medv/finder": "^3.1.0", "@microlink/react-json-view": "^1.21.3", "@monaco-editor/react": "4.6.0", - "@posthog/hogvm": "^1.0.46", + "@posthog/hogvm": "^1.0.47", "@posthog/icons": "0.8.1", "@posthog/plugin-scaffold": "^1.4.4", "@react-hook/size": "^2.1.2", diff --git a/plugin-server/package.json b/plugin-server/package.json index b6b9147b14bbf..5189b589fb2c9 100644 --- a/plugin-server/package.json +++ b/plugin-server/package.json @@ -53,7 +53,7 @@ "@maxmind/geoip2-node": "^3.4.0", "@posthog/clickhouse": "^1.7.0", "@posthog/cyclotron": "file:../rust/cyclotron-node", - "@posthog/hogvm": "^1.0.46", + "@posthog/hogvm": "^1.0.47", "@posthog/plugin-scaffold": "1.4.4", "@sentry/node": "^7.49.0", "@sentry/profiling-node": "^0.3.0", diff --git a/plugin-server/pnpm-lock.yaml b/plugin-server/pnpm-lock.yaml index dd40fb3bf24e3..cfa431883a768 100644 --- a/plugin-server/pnpm-lock.yaml +++ b/plugin-server/pnpm-lock.yaml @@ -47,8 +47,8 @@ dependencies: specifier: file:../rust/cyclotron-node version: file:../rust/cyclotron-node '@posthog/hogvm': - specifier: ^1.0.46 - version: 1.0.46(luxon@3.4.4) + specifier: ^1.0.47 + version: 1.0.47(luxon@3.4.4) '@posthog/plugin-scaffold': specifier: 1.4.4 version: 1.4.4 @@ -3116,8 +3116,8 @@ packages: engines: {node: '>=12'} dev: false - /@posthog/hogvm@1.0.46(luxon@3.4.4): - resolution: {integrity: sha512-oTXytxHImxcAUYvK+QVI5nRc3YnVSbn01rFlOrpeTYjW5oqYKMR8nYsjhHGLt5p0pnfeBhmQjBM5mJtVs5bA2Q==} + /@posthog/hogvm@1.0.47(luxon@3.4.4): + resolution: {integrity: sha512-6zoMKH6fmO9evuhpd9dtkVi2GFk+dGsxcHe6l6mMo7yXd0Kwssmiwr8aLndYTsjdhRkVMi7iaoi/GLrh8F9ayQ==} peerDependencies: luxon: ^3.4.4 dependencies: diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 653bfb354e482..4a3666258f3aa 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -53,8 +53,8 @@ dependencies: specifier: 4.6.0 version: 4.6.0(monaco-editor@0.49.0)(react-dom@18.2.0)(react@18.2.0) '@posthog/hogvm': - specifier: ^1.0.46 - version: 1.0.46(luxon@3.5.0) + specifier: ^1.0.47 + version: 1.0.47(luxon@3.5.0) '@posthog/icons': specifier: 0.8.1 version: 0.8.1(react-dom@18.2.0)(react@18.2.0) @@ -5414,8 +5414,8 @@ packages: resolution: {integrity: sha512-50/17A98tWUfQ176raKiOGXuYpLyyVMkxxG6oylzL3BPOlA6ADGdK7EYunSa4I064xerltq9TGXs8HmOk5E+vw==} dev: false - /@posthog/hogvm@1.0.46(luxon@3.5.0): - resolution: {integrity: sha512-oTXytxHImxcAUYvK+QVI5nRc3YnVSbn01rFlOrpeTYjW5oqYKMR8nYsjhHGLt5p0pnfeBhmQjBM5mJtVs5bA2Q==} + /@posthog/hogvm@1.0.47(luxon@3.5.0): + resolution: {integrity: sha512-6zoMKH6fmO9evuhpd9dtkVi2GFk+dGsxcHe6l6mMo7yXd0Kwssmiwr8aLndYTsjdhRkVMi7iaoi/GLrh8F9ayQ==} peerDependencies: luxon: ^3.4.4 dependencies: @@ -18298,7 +18298,7 @@ packages: react: '>=15' dependencies: react: 18.2.0 - unlayer-types: 1.75.0 + unlayer-types: 1.77.0 dev: false /react-error-boundary@3.1.4(react@18.2.0): @@ -20832,8 +20832,8 @@ packages: resolution: {integrity: sha512-hAZsKq7Yy11Zu1DE0OzWjw7nnLZmJZYTDZZyEFHZdUhV8FkH5MCfoU1XMaxXovpyW5nq5scPqq0ZDP9Zyl04oQ==} engines: {node: '>= 10.0.0'} - /unlayer-types@1.75.0: - resolution: {integrity: sha512-yB4TeimlZPKkAGIIE3Acs9e5YHjCpeGcoybq/E8w4lzNTI5EybI9Z9rwIBXhNK0miNarxEIO7rJUWB+Yeve80g==} + /unlayer-types@1.77.0: + resolution: {integrity: sha512-/eIyHiGWO/EFb3GuD7FqD+jV9sXAj2FMhwn3QTVaio2FUz30RRAh8kQS+qNwPKIcLEZWKzfH41SBi3afudEVAA==} dev: false /unpipe@1.0.0: From 91cd660b0e364301004c830b95bf46e4d985a60c Mon Sep 17 00:00:00 2001 From: Oliver Browne Date: Fri, 6 Sep 2024 12:21:01 +0300 Subject: [PATCH 21/66] feat(propdefs): add filtering to allow for gradual rollout (#24820) --- plugin-server/pnpm-lock.yaml | 1 - plugin-server/src/config/config.ts | 1 + plugin-server/src/types.ts | 1 + .../ingestion/property-definitions-manager.ts | 55 +++++++++++++--- pnpm-lock.yaml | 3 +- rust/property-defs-rs/src/config.rs | 63 +++++++++++++++++++ rust/property-defs-rs/src/main.rs | 16 ++++- rust/property-defs-rs/src/metrics_consts.rs | 1 + 8 files changed, 128 insertions(+), 13 deletions(-) diff --git a/plugin-server/pnpm-lock.yaml b/plugin-server/pnpm-lock.yaml index cfa431883a768..9a36386f4c602 100644 --- a/plugin-server/pnpm-lock.yaml +++ b/plugin-server/pnpm-lock.yaml @@ -10736,5 +10736,4 @@ packages: file:../rust/cyclotron-node: resolution: {directory: ../rust/cyclotron-node, type: directory} name: '@posthog/cyclotron' - version: 0.1.0 dev: false diff --git a/plugin-server/src/config/config.ts b/plugin-server/src/config/config.ts index afa2ba1d72fe3..671f23014ee7b 100644 --- a/plugin-server/src/config/config.ts +++ b/plugin-server/src/config/config.ts @@ -127,6 +127,7 @@ export function getDefaultConfig(): PluginsServerConfig { EXTERNAL_REQUEST_TIMEOUT_MS: 10 * 1000, // 10 seconds DROP_EVENTS_BY_TOKEN_DISTINCT_ID: '', DROP_EVENTS_BY_TOKEN: '', + SKIP_DEFINITIONS_FOR_TEAM_IDS: '', PIPELINE_STEP_STALLED_LOG_TIMEOUT: 30, RELOAD_PLUGIN_JITTER_MAX_MS: 60000, RUSTY_HOOK_FOR_TEAMS: '', diff --git a/plugin-server/src/types.ts b/plugin-server/src/types.ts index 58253a210abd3..7cb78d577e562 100644 --- a/plugin-server/src/types.ts +++ b/plugin-server/src/types.ts @@ -230,6 +230,7 @@ export interface PluginsServerConfig extends CdpConfig { EXTERNAL_REQUEST_TIMEOUT_MS: number DROP_EVENTS_BY_TOKEN_DISTINCT_ID: string DROP_EVENTS_BY_TOKEN: string + SKIP_DEFINITIONS_FOR_TEAM_IDS: string // Comma separated list of team IDs to skip processing property/event definitions for RELOAD_PLUGIN_JITTER_MAX_MS: number RUSTY_HOOK_FOR_TEAMS: string RUSTY_HOOK_ROLLOUT_PERCENTAGE: number diff --git a/plugin-server/src/worker/ingestion/property-definitions-manager.ts b/plugin-server/src/worker/ingestion/property-definitions-manager.ts index fd99af328958d..89db42064c97c 100644 --- a/plugin-server/src/worker/ingestion/property-definitions-manager.ts +++ b/plugin-server/src/worker/ingestion/property-definitions-manager.ts @@ -66,6 +66,10 @@ function willFitInPostgresColumn(str: string, maxLength = DJANGO_EVENT_MAX_CHARF return unicodeCharacters.length <= maxLength } +// TODO - this entire class should be removed once propdefs-rs is fully up and running. This class does +// 3 different things: Tracks 1st event seen, updates event/property definitions, and auto-creates group-types. +// propdefs-rs will handle the definitions portion of the work, and this should become a simple 1st event seen and group-types +// manager export class PropertyDefinitionsManager { db: DB teamManager: TeamManager @@ -74,6 +78,7 @@ export class PropertyDefinitionsManager { eventPropertiesCache: LRU> // Map> eventLastSeenCache: LRU // key: JSON.stringify([team_id, event]); value: parseInt(YYYYMMDD) propertyDefinitionsCache: PropertyDefinitionsCache + teamIdsToSkip: Set = new Set() private readonly lruCacheSize: number constructor( @@ -103,6 +108,12 @@ export class PropertyDefinitionsManager { updateAgeOnGet: true, }) this.propertyDefinitionsCache = new PropertyDefinitionsCache(serverConfig) + + const skipTeams = serverConfig.SKIP_DEFINITIONS_FOR_TEAM_IDS ?? '' + + if (skipTeams.length > 0) { + this.teamIdsToSkip = new Set(skipTeams.split(',').map((id) => parseInt(id))) + } } public async updateEventNamesAndProperties(teamId: number, event: string, properties: Properties): Promise { @@ -110,6 +121,11 @@ export class PropertyDefinitionsManager { return } + // We don't bail out early here because this code also handles creating new + // group-types and groupt-type indexes, and 1st event tracking, and we want + // to do that even IF we're not generating any definitions for the event. + const shouldSkip = this.teamIdsToSkip.has(teamId) + event = sanitizeString(event) if (!willFitInPostgresColumn(event)) { return @@ -129,13 +145,28 @@ export class PropertyDefinitionsManager { if (!team) { return } - await this.cacheEventNamesAndProperties(team.id, event) - await Promise.all([ - this.syncEventDefinitions(team, event), - this.syncEventProperties(team, event, properties), - this.syncPropertyDefinitions(team, event, properties), - this.teamManager.setTeamIngestedEvent(team, properties), - ]) + if (!shouldSkip) { + // If we're skipping the definition updates for this team, we shouldn't bother with any + // prefetching or caching. + await this.cacheEventNamesAndProperties(team.id, event) + } + + // We always track 1st event ingestion + const promises = [this.teamManager.setTeamIngestedEvent(team, properties)] + + // Property definitions are more complicated - group-type-index resolution is done here, and + // that includes automatic group creation, which we want to do even if we're skipping the + // rest of the definition updates, so we run this and tell it to skip, rather than skipping + // it outright. + promises.push(this.syncPropertyDefinitions(team, event, properties, shouldSkip)) + + // Event and event-property definitions only do what they say on the tin, so we can skip them + if (!shouldSkip) { + promises.push(this.syncEventDefinitions(team, event)) + promises.push(this.syncEventProperties(team, event, properties)) + } + + await Promise.all(promises) } finally { clearTimeout(timeout) updateEventNamesAndPropertiesMsSummary.observe(Date.now() - timer.valueOf()) @@ -202,11 +233,19 @@ ON CONSTRAINT posthog_eventdefinition_team_id_name_80fa0b87_uniq DO UPDATE SET l } } - private async syncPropertyDefinitions(team: Team, event: string, properties: Properties) { + private async syncPropertyDefinitions(team: Team, event: string, properties: Properties, shouldSkip: boolean) { const toInsert: Array< [string, string, number, number | null, boolean, null, null, TeamId, PropertyType | null] > = [] + // This call to `getPropertyDefinitions` is the place where group-type-indexes are resolved, and by extension, + // where groups are auto-created. We want to ALWAYS do this, even if we're skipping the rest of the definition + // update process. We have to do it on every property, too, unfortunately. for await (const definitions of this.getPropertyDefinitions(team.id, event, properties)) { + // Now that we've done the group-type-index resolution/creation, we can skip everything else. + if (shouldSkip) { + continue + } + let { key } = definitions key = sanitizeString(key) if (!willFitInPostgresColumn(key)) { diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 4a3666258f3aa..2cdb58893d2ac 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -374,7 +374,7 @@ dependencies: optionalDependencies: fsevents: specifier: ^2.3.2 - version: 2.3.2 + version: 2.3.3 devDependencies: '@babel/core': @@ -13077,6 +13077,7 @@ packages: engines: {node: ^8.16.0 || ^10.6.0 || >=11.0.0} os: [darwin] requiresBuild: true + dev: true optional: true /fsevents@2.3.3: diff --git a/rust/property-defs-rs/src/config.rs b/rust/property-defs-rs/src/config.rs index 7afe4589944f9..41494a2eab6ba 100644 --- a/rust/property-defs-rs/src/config.rs +++ b/rust/property-defs-rs/src/config.rs @@ -1,3 +1,5 @@ +use std::{num::ParseIntError, str::FromStr}; + use envconfig::Envconfig; use rdkafka::ClientConfig; @@ -92,6 +94,16 @@ pub struct Config { #[envconfig(from = "BIND_PORT", default = "3301")] pub port: u16, + + // The set of teams to opt-in or opt-out of property definitions processing (depending on the setting below) + #[envconfig(default = "")] + pub filtered_teams: TeamList, + + // Whether the team list above is used to filter teams OUT of processing (opt-out) or IN to processing (opt-in). + // Defaults to opt-in for now, skipping all updates for teams not in the list. TODO - change this to opt-out + // once rollout is complete. + #[envconfig(default = "opt_in")] + pub filter_mode: TeamFilterMode, } #[derive(Envconfig, Clone)] @@ -125,3 +137,54 @@ impl From<&KafkaConfig> for ClientConfig { client_config } } + +#[derive(Clone)] +pub struct TeamList { + pub teams: Vec, +} + +impl FromStr for TeamList { + type Err = ParseIntError; + + fn from_str(s: &str) -> Result { + let mut teams = Vec::new(); + for team in s.trim().split(',') { + if team.is_empty() { + continue; + } + teams.push(team.parse()?); + } + Ok(TeamList { teams }) + } +} + +#[derive(Clone)] +pub enum TeamFilterMode { + OptIn, + OptOut, +} + +impl FromStr for TeamFilterMode { + type Err = String; + + fn from_str(s: &str) -> Result { + match s.to_lowercase().trim() { + "opt_in" => Ok(TeamFilterMode::OptIn), + "opt_out" => Ok(TeamFilterMode::OptOut), + "opt-in" => Ok(TeamFilterMode::OptIn), + "opt-out" => Ok(TeamFilterMode::OptOut), + "optin" => Ok(TeamFilterMode::OptIn), + "optout" => Ok(TeamFilterMode::OptOut), + _ => Err(format!("Invalid team filter mode: {}", s)), + } + } +} + +impl TeamFilterMode { + pub fn should_process(&self, list: &[i32], team_id: i32) -> bool { + match self { + TeamFilterMode::OptIn => list.contains(&team_id), + TeamFilterMode::OptOut => !list.contains(&team_id), + } + } +} diff --git a/rust/property-defs-rs/src/main.rs b/rust/property-defs-rs/src/main.rs index 044104b30cb9f..94924d0278a93 100644 --- a/rust/property-defs-rs/src/main.rs +++ b/rust/property-defs-rs/src/main.rs @@ -6,12 +6,13 @@ use envconfig::Envconfig; use futures::future::ready; use property_defs_rs::{ app_context::AppContext, - config::Config, + config::{Config, TeamFilterMode, TeamList}, message_to_event, metrics_consts::{ BATCH_ACQUIRE_TIME, CACHE_CONSUMED, COMPACTED_UPDATES, EVENTS_RECEIVED, FORCED_SMALL_BATCH, - PERMIT_WAIT_TIME, RECV_DEQUEUED, TRANSACTION_LIMIT_SATURATION, UPDATES_FILTERED_BY_CACHE, - UPDATES_PER_EVENT, UPDATES_SEEN, UPDATE_ISSUE_TIME, WORKER_BLOCKED, + PERMIT_WAIT_TIME, RECV_DEQUEUED, SKIPPED_DUE_TO_TEAM_FILTER, TRANSACTION_LIMIT_SATURATION, + UPDATES_FILTERED_BY_CACHE, UPDATES_PER_EVENT, UPDATES_SEEN, UPDATE_ISSUE_TIME, + WORKER_BLOCKED, }, types::Update, }; @@ -70,6 +71,8 @@ async fn spawn_producer_loop( shared_cache: Arc>, skip_threshold: usize, compaction_batch_size: usize, + team_filter_mode: TeamFilterMode, + team_list: TeamList, ) { let mut batch = AHashSet::with_capacity(compaction_batch_size); let mut last_send = tokio::time::Instant::now(); @@ -83,6 +86,11 @@ async fn spawn_producer_loop( continue; }; + if !team_filter_mode.should_process(&team_list.teams, event.team_id) { + metrics::counter!(SKIPPED_DUE_TO_TEAM_FILTER).increment(1); + continue; + } + let updates = event.into_updates(skip_threshold); metrics::counter!(EVENTS_RECEIVED).increment(1); @@ -155,6 +163,8 @@ async fn main() -> Result<(), Box> { cache.clone(), config.update_count_skip_threshold, config.compaction_batch_size, + config.filter_mode.clone(), + config.filtered_teams.clone(), )); } diff --git a/rust/property-defs-rs/src/metrics_consts.rs b/rust/property-defs-rs/src/metrics_consts.rs index e9920c0c6cb1c..d8c3c83a6d17f 100644 --- a/rust/property-defs-rs/src/metrics_consts.rs +++ b/rust/property-defs-rs/src/metrics_consts.rs @@ -20,3 +20,4 @@ pub const UPDATE_TRANSACTION_TIME: &str = "prop_defs_update_transaction_time_ms" pub const GROUP_TYPE_RESOLVE_TIME: &str = "prop_defs_group_type_resolve_time_ms"; pub const UPDATES_SKIPPED: &str = "prop_defs_skipped_updates"; pub const GROUP_TYPE_READS: &str = "prop_defs_group_type_reads"; +pub const SKIPPED_DUE_TO_TEAM_FILTER: &str = "prop_defs_skipped_due_to_team_filter"; From 97e8ec2da2917cbc5119741dccf33b27833eb6c0 Mon Sep 17 00:00:00 2001 From: David Newell Date: Fri, 6 Sep 2024 10:56:23 +0100 Subject: [PATCH 22/66] feat: show absolute time in seekbar preview (#24837) --- .../controller/PlayerSeekbarPreview.tsx | 27 ++++++++++++++++--- .../player/controller/Seekbar.tsx | 4 +++ 2 files changed, 28 insertions(+), 3 deletions(-) diff --git a/frontend/src/scenes/session-recordings/player/controller/PlayerSeekbarPreview.tsx b/frontend/src/scenes/session-recordings/player/controller/PlayerSeekbarPreview.tsx index 2b079dba9583d..80f17633c1fc3 100644 --- a/frontend/src/scenes/session-recordings/player/controller/PlayerSeekbarPreview.tsx +++ b/frontend/src/scenes/session-recordings/player/controller/PlayerSeekbarPreview.tsx @@ -1,10 +1,12 @@ import { BindLogic, useActions, useValues } from 'kea' +import { Dayjs } from 'lib/dayjs' import useIsHovering from 'lib/hooks/useIsHovering' import { colonDelimitedDuration } from 'lib/utils' import { memo, MutableRefObject, useEffect, useRef, useState } from 'react' import { useDebouncedCallback } from 'use-debounce' import { PlayerFrame } from '../PlayerFrame' +import { TimestampFormat } from '../playerSettingsLogic' import { sessionRecordingPlayerLogic, SessionRecordingPlayerLogicProps, @@ -18,6 +20,8 @@ export type PlayerSeekbarPreviewProps = { maxMs: number seekBarRef: MutableRefObject activeMs: number | null + timestampFormat: TimestampFormat + startTime: Dayjs | null } const PlayerSeekbarPreviewFrame = ({ @@ -27,7 +31,7 @@ const PlayerSeekbarPreviewFrame = ({ isVisible, }: { percentage: number; isVisible: boolean } & Omit< PlayerSeekbarPreviewProps, - 'seekBarRef' | 'activeMs' + 'seekBarRef' | 'activeMs' | 'timestampFormat' | 'startTime' >): JSX.Element | null => { const { sessionRecordingId, logicProps } = useValues(sessionRecordingPlayerLogic) @@ -66,11 +70,28 @@ const PlayerSeekbarPreviewFrame = ({ ) } -function _PlayerSeekbarPreview({ minMs, maxMs, seekBarRef, activeMs }: PlayerSeekbarPreviewProps): JSX.Element { +function _PlayerSeekbarPreview({ + minMs, + maxMs, + seekBarRef, + activeMs, + timestampFormat, + startTime, +}: PlayerSeekbarPreviewProps): JSX.Element { const [percentage, setPercentage] = useState(0) const ref = useRef(null) const fixedUnits = maxMs / 1000 > 3600 ? 3 : 2 - const content = colonDelimitedDuration(minMs / 1000 + ((maxMs - minMs) / 1000) * percentage, fixedUnits) + + const progressionSeconds = ((maxMs - minMs) / 1000) * percentage + + const absoluteTime = startTime?.add(progressionSeconds, 'seconds') + + const content = + timestampFormat === TimestampFormat.Relative + ? colonDelimitedDuration(minMs / 1000 + progressionSeconds, fixedUnits) + : absoluteTime + ? (timestampFormat === TimestampFormat.UTC ? absoluteTime?.tz('UTC') : absoluteTime)?.format('HH:mm:ss') + : '00:00:00' const isHovering = useIsHovering(seekBarRef) diff --git a/frontend/src/scenes/session-recordings/player/controller/Seekbar.tsx b/frontend/src/scenes/session-recordings/player/controller/Seekbar.tsx index 5b70034663f04..4274979dcfe65 100644 --- a/frontend/src/scenes/session-recordings/player/controller/Seekbar.tsx +++ b/frontend/src/scenes/session-recordings/player/controller/Seekbar.tsx @@ -7,6 +7,7 @@ import { useEffect, useRef } from 'react' import { RecordingSegment } from '~/types' import { playerInspectorLogic } from '../inspector/playerInspectorLogic' +import { playerSettingsLogic } from '../playerSettingsLogic' import { sessionRecordingDataLogic } from '../sessionRecordingDataLogic' import { sessionRecordingPlayerLogic } from '../sessionRecordingPlayerLogic' import { PlayerSeekbarPreview } from './PlayerSeekbarPreview' @@ -18,6 +19,7 @@ export function Seekbar(): JSX.Element { const { seekToTime } = useActions(sessionRecordingPlayerLogic) const { seekbarItems } = useValues(playerInspectorLogic(logicProps)) const { endTimeMs, thumbLeftPos, bufferPercent, isScrubbing } = useValues(seekbarLogic(logicProps)) + const { timestampFormat } = useValues(playerSettingsLogic) const { handleDown, setSlider, setThumb } = useActions(seekbarLogic(logicProps)) const { sessionPlayerData, sessionPlayerMetaData } = useValues(sessionRecordingDataLogic(logicProps)) @@ -84,6 +86,8 @@ export function Seekbar(): JSX.Element { activeMs={ sessionPlayerMetaData?.active_seconds ? sessionPlayerMetaData.active_seconds * 1000 : null } + timestampFormat={timestampFormat} + startTime={sessionPlayerData.start} />
From 682e8f939c2ba5965b4c63c5b1435705e5dcd6e3 Mon Sep 17 00:00:00 2001 From: Oliver Browne Date: Fri, 6 Sep 2024 15:52:01 +0300 Subject: [PATCH 23/66] fix(propdefs): push all updates into batch before releasing (#24841) --- rust/property-defs-rs/src/main.rs | 47 +++++++++++++++++-------------- 1 file changed, 26 insertions(+), 21 deletions(-) diff --git a/rust/property-defs-rs/src/main.rs b/rust/property-defs-rs/src/main.rs index 94924d0278a93..846b307ee6876 100644 --- a/rust/property-defs-rs/src/main.rs +++ b/rust/property-defs-rs/src/main.rs @@ -103,29 +103,34 @@ async fn spawn_producer_loop( continue; } batch.insert(update); + } - if batch.len() >= compaction_batch_size || last_send.elapsed() > Duration::from_secs(10) - { - last_send = tokio::time::Instant::now(); - for update in batch.drain() { - if shared_cache.get(&update).is_some() { - metrics::counter!(UPDATES_FILTERED_BY_CACHE).increment(1); - continue; + // We do the full batch insert before checking the time/batch size, because if we did this + // inside the for update in updates loop, under extremely low-load situations, we'd push a + // single update into the channel, then push the rest into the batch, and loop around to + // wait on the next event, which might come an arbitrary amount of time later. This bit me + // in testing, and while it's not a correctness problem and under normal load we'd never + // see it, we may as well just do the full batch insert first. + if batch.len() >= compaction_batch_size || last_send.elapsed() > Duration::from_secs(10) { + last_send = tokio::time::Instant::now(); + for update in batch.drain() { + if shared_cache.get(&update).is_some() { + metrics::counter!(UPDATES_FILTERED_BY_CACHE).increment(1); + continue; + } + shared_cache.insert(update.clone(), ()); + match channel.try_send(update) { + Ok(_) => {} + Err(TrySendError::Full(update)) => { + warn!("Worker blocked"); + metrics::counter!(WORKER_BLOCKED).increment(1); + // Workers should just die if the channel is dropped, since that indicates + // the main loop is dead. + channel.send(update).await.unwrap(); } - shared_cache.insert(update.clone(), ()); - match channel.try_send(update) { - Ok(_) => {} - Err(TrySendError::Full(update)) => { - warn!("Worker blocked"); - metrics::counter!(WORKER_BLOCKED).increment(1); - // Workers should just die if the channel is dropped, since that indicates - // the main loop is dead. - channel.send(update).await.unwrap(); - } - Err(e) => { - warn!("Coordinator send failed: {:?}", e); - return; - } + Err(e) => { + warn!("Coordinator send failed: {:?}", e); + return; } } } From b399e5f879d315dc411523cff2d0d847a312a38c Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Fri, 6 Sep 2024 16:24:37 +0100 Subject: [PATCH 24/66] fix: patch mobile recordings that are missing their meta event (#24840) --- .../__mocks__/encoded-snapshot-data.ts | 6 + .../__snapshots__/parsing.test.ts.snap | 339 ++++++++++++++++++ ee/frontend/mobile-replay/parsing.test.ts | 20 ++ .../player/__mocks__/encoded-snapshot-data.ts | 4 + .../sessionRecordingDataLogic.test.ts.snap | 190 ++++++++++ .../player/sessionRecordingDataLogic.test.ts | 28 ++ .../player/sessionRecordingDataLogic.ts | 80 ++++- 7 files changed, 656 insertions(+), 11 deletions(-) create mode 100644 ee/frontend/mobile-replay/__mocks__/encoded-snapshot-data.ts create mode 100644 ee/frontend/mobile-replay/__snapshots__/parsing.test.ts.snap create mode 100644 ee/frontend/mobile-replay/parsing.test.ts create mode 100644 frontend/src/scenes/session-recordings/player/__mocks__/encoded-snapshot-data.ts diff --git a/ee/frontend/mobile-replay/__mocks__/encoded-snapshot-data.ts b/ee/frontend/mobile-replay/__mocks__/encoded-snapshot-data.ts new file mode 100644 index 0000000000000..ceb176d49ce35 --- /dev/null +++ b/ee/frontend/mobile-replay/__mocks__/encoded-snapshot-data.ts @@ -0,0 +1,6 @@ +export const encodedWebSnapshotData: string[] = [ + // first item could be a network event or something else + '{"windowId":"0191C63B-03FF-73B5-96BE-40BE2761621C","data":{"payload":{"requests":[{"duration":28,"entryType":"resource","initiatorType":"fetch","method":"GET","name":"https://1.bp.blogspot.com/-hkNkoCjc5UA/T4JTlCjhhfI/AAAAAAAAB98/XxQwZ-QPkI8/s1600/Free+Google+Wallpapers+3.jpg","responseStatus":200,"timestamp":1725369200216,"transferSize":82375}]},"plugin":"rrweb/network@1"},"timestamp":1725369200216,"type":6,"seen":8833798676917222}', + '{"windowId":"0191C63B-03FF-73B5-96BE-40BE2761621C","data":{"height":852,"width":393},"timestamp":1725607643113,"type":4,"seen":4930607506458337}', + '{"windowId":"0191C63B-03FF-73B5-96BE-40BE2761621C","data":{"initialOffset":{"left":0,"top":0},"wireframes":[{"base64":"data:image/jpeg;base64,/9j/4AAQSkZJR","height":852,"id":4324378400,"type":"screenshot","width":393,"x":0,"y":0}]},"timestamp":1725607643113,"type":2,"seen":2118469619185818}', +] diff --git a/ee/frontend/mobile-replay/__snapshots__/parsing.test.ts.snap b/ee/frontend/mobile-replay/__snapshots__/parsing.test.ts.snap new file mode 100644 index 0000000000000..c916dd21d54c5 --- /dev/null +++ b/ee/frontend/mobile-replay/__snapshots__/parsing.test.ts.snap @@ -0,0 +1,339 @@ +// Jest Snapshot v1, https://goo.gl/fbAQLP + +exports[`snapshot parsing handles mobile data with no meta event 1`] = ` +[ + { + "data": { + "payload": { + "requests": [ + { + "duration": 28, + "entryType": "resource", + "initiatorType": "fetch", + "method": "GET", + "name": "https://1.bp.blogspot.com/-hkNkoCjc5UA/T4JTlCjhhfI/AAAAAAAAB98/XxQwZ-QPkI8/s1600/Free+Google+Wallpapers+3.jpg", + "responseStatus": 200, + "timestamp": 1725369200216, + "transferSize": 82375, + }, + ], + }, + "plugin": "rrweb/network@1", + }, + "seen": 8833798676917222, + "timestamp": 1725369200216, + "type": 6, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, + { + "data": { + "height": 852, + "href": "", + "width": 393, + }, + "timestamp": 1725607643113, + "type": 4, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, + { + "data": { + "initialOffset": { + "left": 0, + "top": 0, + }, + "node": { + "childNodes": [ + { + "id": 2, + "name": "html", + "publicId": "", + "systemId": "", + "type": 1, + }, + { + "attributes": { + "data-rrweb-id": 3, + "style": "height: 100vh; width: 100vw;", + }, + "childNodes": [ + { + "attributes": { + "data-rrweb-id": 4, + }, + "childNodes": [ + { + "attributes": { + "type": "text/css", + }, + "childNodes": [ + { + "id": 101, + "textContent": " + body { + margin: unset; + } + input, button, select, textarea { + font: inherit; + margin: 0; + padding: 0; + border: 0; + outline: 0; + background: transparent; + padding-block: 0 !important; + } + .input:focus { + outline: none; + } + img { + border-style: none; + } + ", + "type": 3, + }, + ], + "id": 100, + "tagName": "style", + "type": 2, + }, + ], + "id": 4, + "tagName": "head", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 5, + "style": "height: 100vh; width: 100vw;", + }, + "childNodes": [ + { + "attributes": { + "data-rrweb-id": 4324378400, + "height": 852, + "src": "data:image/jpeg;base64,/9j/4AAQSkZJR", + "style": "width: 393px;height: 852px;position: fixed;left: 0px;top: 0px;", + "width": 393, + }, + "childNodes": [], + "id": 4324378400, + "tagName": "img", + "type": 2, + }, + { + "attributes": { + "data-render-reason": "a fixed placeholder to contain the keyboard in the correct stacking position", + "data-rrweb-id": 9, + }, + "childNodes": [], + "id": 9, + "tagName": "div", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 7, + }, + "childNodes": [], + "id": 7, + "tagName": "div", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 11, + }, + "childNodes": [], + "id": 11, + "tagName": "div", + "type": 2, + }, + ], + "id": 5, + "tagName": "body", + "type": 2, + }, + ], + "id": 3, + "tagName": "html", + "type": 2, + }, + ], + "id": 1, + "type": 0, + }, + }, + "timestamp": 1725607643113, + "type": 2, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, +] +`; + +exports[`snapshot parsing handles normal mobile data 1`] = ` +[ + { + "data": { + "payload": { + "requests": [ + { + "duration": 28, + "entryType": "resource", + "initiatorType": "fetch", + "method": "GET", + "name": "https://1.bp.blogspot.com/-hkNkoCjc5UA/T4JTlCjhhfI/AAAAAAAAB98/XxQwZ-QPkI8/s1600/Free+Google+Wallpapers+3.jpg", + "responseStatus": 200, + "timestamp": 1725369200216, + "transferSize": 82375, + }, + ], + }, + "plugin": "rrweb/network@1", + }, + "seen": 8833798676917222, + "timestamp": 1725369200216, + "type": 6, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, + { + "data": { + "height": 852, + "href": "", + "width": 393, + }, + "timestamp": 1725607643113, + "type": 4, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, + { + "data": { + "initialOffset": { + "left": 0, + "top": 0, + }, + "node": { + "childNodes": [ + { + "id": 2, + "name": "html", + "publicId": "", + "systemId": "", + "type": 1, + }, + { + "attributes": { + "data-rrweb-id": 3, + "style": "height: 100vh; width: 100vw;", + }, + "childNodes": [ + { + "attributes": { + "data-rrweb-id": 4, + }, + "childNodes": [ + { + "attributes": { + "type": "text/css", + }, + "childNodes": [ + { + "id": 101, + "textContent": " + body { + margin: unset; + } + input, button, select, textarea { + font: inherit; + margin: 0; + padding: 0; + border: 0; + outline: 0; + background: transparent; + padding-block: 0 !important; + } + .input:focus { + outline: none; + } + img { + border-style: none; + } + ", + "type": 3, + }, + ], + "id": 100, + "tagName": "style", + "type": 2, + }, + ], + "id": 4, + "tagName": "head", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 5, + "style": "height: 100vh; width: 100vw;", + }, + "childNodes": [ + { + "attributes": { + "data-rrweb-id": 4324378400, + "height": 852, + "src": "data:image/jpeg;base64,/9j/4AAQSkZJR", + "style": "width: 393px;height: 852px;position: fixed;left: 0px;top: 0px;", + "width": 393, + }, + "childNodes": [], + "id": 4324378400, + "tagName": "img", + "type": 2, + }, + { + "attributes": { + "data-render-reason": "a fixed placeholder to contain the keyboard in the correct stacking position", + "data-rrweb-id": 9, + }, + "childNodes": [], + "id": 9, + "tagName": "div", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 7, + }, + "childNodes": [], + "id": 7, + "tagName": "div", + "type": 2, + }, + { + "attributes": { + "data-rrweb-id": 11, + }, + "childNodes": [], + "id": 11, + "tagName": "div", + "type": 2, + }, + ], + "id": 5, + "tagName": "body", + "type": 2, + }, + ], + "id": 3, + "tagName": "html", + "type": 2, + }, + ], + "id": 1, + "type": 0, + }, + }, + "timestamp": 1725607643113, + "type": 2, + "windowId": "0191C63B-03FF-73B5-96BE-40BE2761621C", + }, +] +`; diff --git a/ee/frontend/mobile-replay/parsing.test.ts b/ee/frontend/mobile-replay/parsing.test.ts new file mode 100644 index 0000000000000..5d913b4117833 --- /dev/null +++ b/ee/frontend/mobile-replay/parsing.test.ts @@ -0,0 +1,20 @@ +import { parseEncodedSnapshots } from 'scenes/session-recordings/player/sessionRecordingDataLogic' + +import { encodedWebSnapshotData } from './__mocks__/encoded-snapshot-data' + +describe('snapshot parsing', () => { + const sessionId = '12345' + const numberOfParsedLinesInData = 3 + + it('handles normal mobile data', async () => { + const parsed = await parseEncodedSnapshots(encodedWebSnapshotData, sessionId, true) + expect(parsed.length).toEqual(numberOfParsedLinesInData) + expect(parsed).toMatchSnapshot() + }) + it('handles mobile data with no meta event', async () => { + const withoutMeta = [encodedWebSnapshotData[0], encodedWebSnapshotData[2]] + const parsed = await parseEncodedSnapshots(withoutMeta, sessionId, true) + expect(parsed.length).toEqual(numberOfParsedLinesInData) + expect(parsed).toMatchSnapshot() + }) +}) diff --git a/frontend/src/scenes/session-recordings/player/__mocks__/encoded-snapshot-data.ts b/frontend/src/scenes/session-recordings/player/__mocks__/encoded-snapshot-data.ts new file mode 100644 index 0000000000000..f522be7364dd4 --- /dev/null +++ b/frontend/src/scenes/session-recordings/player/__mocks__/encoded-snapshot-data.ts @@ -0,0 +1,4 @@ +export const encodedWebSnapshotData: string[] = [ + '{"window_id":"0191c366-dd75-708c-bb41-c0d5bd2bb0dc","data":[{"type":4,"data":{"href":"http://localhost:8000/project/1","width":719,"height":914},"timestamp":1725560859629},{"type":3,"data":{"source":2,"type":0,"id":320,"x":21.41059112548828,"y":28.776042938232422},"timestamp":1725560861395},{"type":3,"data":{"source":2,"type":2,"id":320,"x":21,"y":28,"pointerType":0},"timestamp":1725560861398},{"type":3,"data":{"source":0,"texts":[],"attributes":[{"id":59,"attributes":{"class":"Navbar3000"}},{"id":313,"attributes":{"class":"Navbar3000__overlay"}}],"removes":[],"adds":[]},"timestamp":1725560861402}]}', + '{"window_id":"0191c366-dd75-708c-bb41-c0d5bd2bb0dc","data":[{"type":4,"data":{"href":"http://localhost:8000/project/1","width":719,"height":914},"timestamp":1725560859629},{"type":3,"data":{"source":2,"type":0,"id":320,"x":21.41059112548828,"y":28.776042938232422},"timestamp":1725560861395},{"type":3,"data":{"source":2,"type":2,"id":320,"x":21,"y":28,"pointerType":0},"timestamp":1725560861398},{"type":3,"data":{"source":0,"texts":[],"attributes":[{"id":59,"attributes":{"class":"Navbar3000"}},{"id":313,"attributes":{"class":"Navbar3000__overlay"}}],"removes":[],"adds":[]},"timestamp":1725560861402}]}', +] diff --git a/frontend/src/scenes/session-recordings/player/__snapshots__/sessionRecordingDataLogic.test.ts.snap b/frontend/src/scenes/session-recordings/player/__snapshots__/sessionRecordingDataLogic.test.ts.snap index 6fda01f36439f..1dfae7ab19d64 100644 --- a/frontend/src/scenes/session-recordings/player/__snapshots__/sessionRecordingDataLogic.test.ts.snap +++ b/frontend/src/scenes/session-recordings/player/__snapshots__/sessionRecordingDataLogic.test.ts.snap @@ -2078,3 +2078,193 @@ exports[`sessionRecordingDataLogic deduplicateSnapshots should match snapshot 1` }, ] `; + +exports[`sessionRecordingDataLogic snapshot parsing handles data with unparseable lines 1`] = ` +[ + { + "data": { + "height": 914, + "href": "http://localhost:8000/project/1", + "width": 719, + }, + "timestamp": 1725560859629, + "type": 4, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "source": 2, + "type": 0, + "x": 21.41059112548828, + "y": 28.776042938232422, + }, + "timestamp": 1725560861395, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "pointerType": 0, + "source": 2, + "type": 2, + "x": 21, + "y": 28, + }, + "timestamp": 1725560861398, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "adds": [], + "attributes": [ + { + "attributes": { + "class": "Navbar3000", + }, + "id": 59, + }, + { + "attributes": { + "class": "Navbar3000__overlay", + }, + "id": 313, + }, + ], + "removes": [], + "source": 0, + "texts": [], + }, + "timestamp": 1725560861402, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, +] +`; + +exports[`sessionRecordingDataLogic snapshot parsing handles normal web data 1`] = ` +[ + { + "data": { + "height": 914, + "href": "http://localhost:8000/project/1", + "width": 719, + }, + "timestamp": 1725560859629, + "type": 4, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "source": 2, + "type": 0, + "x": 21.41059112548828, + "y": 28.776042938232422, + }, + "timestamp": 1725560861395, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "pointerType": 0, + "source": 2, + "type": 2, + "x": 21, + "y": 28, + }, + "timestamp": 1725560861398, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "adds": [], + "attributes": [ + { + "attributes": { + "class": "Navbar3000", + }, + "id": 59, + }, + { + "attributes": { + "class": "Navbar3000__overlay", + }, + "id": 313, + }, + ], + "removes": [], + "source": 0, + "texts": [], + }, + "timestamp": 1725560861402, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "height": 914, + "href": "http://localhost:8000/project/1", + "width": 719, + }, + "timestamp": 1725560859629, + "type": 4, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "source": 2, + "type": 0, + "x": 21.41059112548828, + "y": 28.776042938232422, + }, + "timestamp": 1725560861395, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "id": 320, + "pointerType": 0, + "source": 2, + "type": 2, + "x": 21, + "y": 28, + }, + "timestamp": 1725560861398, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, + { + "data": { + "adds": [], + "attributes": [ + { + "attributes": { + "class": "Navbar3000", + }, + "id": 59, + }, + { + "attributes": { + "class": "Navbar3000__overlay", + }, + "id": 313, + }, + ], + "removes": [], + "source": 0, + "texts": [], + }, + "timestamp": 1725560861402, + "type": 3, + "windowId": "0191c366-dd75-708c-bb41-c0d5bd2bb0dc", + }, +] +`; diff --git a/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.test.ts b/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.test.ts index 13279a313cf97..7a00e7b49b323 100644 --- a/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.test.ts +++ b/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.test.ts @@ -2,8 +2,10 @@ import { expectLogic } from 'kea-test-utils' import { api, MOCK_TEAM_ID } from 'lib/api.mock' import { eventUsageLogic } from 'lib/utils/eventUsageLogic' import { convertSnapshotsByWindowId } from 'scenes/session-recordings/__mocks__/recording_snapshots' +import { encodedWebSnapshotData } from 'scenes/session-recordings/player/__mocks__/encoded-snapshot-data' import { deduplicateSnapshots, + parseEncodedSnapshots, sessionRecordingDataLogic, } from 'scenes/session-recordings/player/sessionRecordingDataLogic' import { teamLogic } from 'scenes/teamLogic' @@ -404,4 +406,30 @@ describe('sessionRecordingDataLogic', () => { ]) }) }) + + describe('snapshot parsing', () => { + const sessionId = '12345' + const numberOfParsedLinesInData = 8 + it('handles normal web data', async () => { + const parsed = await parseEncodedSnapshots(encodedWebSnapshotData, sessionId, false) + expect(parsed.length).toEqual(numberOfParsedLinesInData) + expect(parsed).toMatchSnapshot() + }) + + it('handles data with unparseable lines', async () => { + const parsed = await parseEncodedSnapshots( + encodedWebSnapshotData.map((line, index) => { + return index == 0 ? line.substring(0, line.length / 2) : line + }), + sessionId, + false + ) + + // unparseable lines are not returned + expect(encodedWebSnapshotData.length).toEqual(2) + expect(parsed.length).toEqual(numberOfParsedLinesInData / 2) + + expect(parsed).toMatchSnapshot() + }) + }) }) diff --git a/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.ts b/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.ts index d5035a871c430..cd503f914a29b 100644 --- a/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.ts +++ b/frontend/src/scenes/session-recordings/player/sessionRecordingDataLogic.ts @@ -1,5 +1,5 @@ import posthogEE from '@posthog/ee/exports' -import { customEvent, EventType, eventWithTime } from '@rrweb/types' +import { customEvent, EventType, eventWithTime, fullSnapshotEvent } from '@rrweb/types' import { captureException, captureMessage } from '@sentry/react' import { actions, @@ -21,6 +21,7 @@ import api from 'lib/api' import { FEATURE_FLAGS } from 'lib/constants' import { Dayjs, dayjs } from 'lib/dayjs' import { featureFlagLogic, FeatureFlagsSet } from 'lib/logic/featureFlagLogic' +import { isObject } from 'lib/utils' import { chainToElements } from 'lib/utils/elements-chain' import { eventUsageLogic } from 'lib/utils/eventUsageLogic' import posthog from 'posthog-js' @@ -63,6 +64,54 @@ function isRecordingSnapshot(x: unknown): x is RecordingSnapshot { return typeof x === 'object' && x !== null && 'type' in x && 'timestamp' in x } +/* + there was a bug in mobile SDK that didn't consistently send a meta event with a full snapshot. + rrweb player hides itself until it has seen the meta event 🤷 + but we can patch a meta event into the recording data to make it work +*/ +function patchMetaEventIntoMobileData(parsedLines: RecordingSnapshot[]): RecordingSnapshot[] { + let fullSnapshotIndex: number = -1 + let metaIndex: number = -1 + try { + fullSnapshotIndex = parsedLines.findIndex((l) => l.type === EventType.FullSnapshot) + metaIndex = parsedLines.findIndex((l) => l.type === EventType.Meta) + + // then we need to patch the meta event into the snapshot data + if (fullSnapshotIndex > -1 && metaIndex === -1) { + const fullSnapshot = parsedLines[fullSnapshotIndex] as RecordingSnapshot & fullSnapshotEvent & eventWithTime + // a full snapshot (particularly from the mobile transformer) has a relatively fixed structure, + // but the types exposed by rrweb don't quite cover what we need , so... + const mainNode = fullSnapshot.data.node as any + const targetNode = mainNode.childNodes[1].childNodes[1].childNodes[0] + const { width, height } = targetNode.attributes + const metaEvent: RecordingSnapshot = { + windowId: fullSnapshot.windowId, + type: EventType.Meta, + timestamp: fullSnapshot.timestamp, + data: { + href: getHrefFromSnapshot(fullSnapshot) || '', + width, + height, + }, + } + parsedLines.splice(fullSnapshotIndex, 0, metaEvent) + } + } catch (e) { + captureException(e, { + tags: { feature: 'session-recording-missing-meta-patching' }, + extra: { fullSnapshotIndex, metaIndex }, + }) + } + + return parsedLines +} + +function hasAnyWireframes(snapshotData: Record[]): boolean { + return snapshotData.some((d) => { + return isObject(d.data) && 'wireframes' in d.data + }) +} + export const parseEncodedSnapshots = async ( items: (RecordingSnapshot | EncodedRecordingSnapshot | string)[], sessionId: string, @@ -72,9 +121,12 @@ export const parseEncodedSnapshots = async ( if (!postHogEEModule) { postHogEEModule = await posthogEE() } + const lineCount = items.length const unparseableLines: string[] = [] - const parsedLines = items.flatMap((l) => { + let isMobileSnapshots = false + + const parsedLines: RecordingSnapshot[] = items.flatMap((l) => { if (!l) { // blob files have an empty line at the end return [] @@ -83,6 +135,10 @@ export const parseEncodedSnapshots = async ( const snapshotLine = typeof l === 'string' ? (JSON.parse(l) as EncodedRecordingSnapshot) : l const snapshotData = isRecordingSnapshot(snapshotLine) ? [snapshotLine] : snapshotLine['data'] + if (!isMobileSnapshots) { + isMobileSnapshots = hasAnyWireframes(snapshotData) + } + return snapshotData.map((d: unknown) => { const snap = withMobileTransformer ? postHogEEModule?.mobileReplay?.transformEventToWeb(d) || (d as eventWithTime) @@ -118,11 +174,13 @@ export const parseEncodedSnapshots = async ( }) } - return parsedLines + return isMobileSnapshots ? patchMetaEventIntoMobileData(parsedLines) : parsedLines } -const getHrefFromSnapshot = (snapshot: RecordingSnapshot): string | undefined => { - return (snapshot.data as any)?.href || (snapshot.data as any)?.payload?.href +const getHrefFromSnapshot = (snapshot: unknown): string | undefined => { + return isObject(snapshot) && 'data' in snapshot + ? (snapshot.data as any)?.href || (snapshot.data as any)?.payload?.href + : undefined } /* @@ -500,12 +558,12 @@ export const sessionRecordingDataLogic = kea([ try { const query: HogQLQuery = { kind: NodeKind.HogQLQuery, - query: hogql`SELECT properties, uuid - FROM events - WHERE timestamp > ${dayjs(event.timestamp).subtract(1000, 'ms')} - AND timestamp < ${dayjs(event.timestamp).add(1000, 'ms')} - AND event = ${event.event} - AND uuid = ${event.id}`, + query: hogql`SELECT properties, uuid + FROM events + WHERE timestamp > ${dayjs(event.timestamp).subtract(1000, 'ms')} + AND timestamp < ${dayjs(event.timestamp).add(1000, 'ms')} + AND event = ${event.event} + AND uuid = ${event.id}`, } const response = await api.query(query) if (response.error) { From e08c4036a43ffac61e8f3e43c6a41c692a643ccd Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Fri, 6 Sep 2024 17:24:52 +0200 Subject: [PATCH 25/66] fix(billing): Avoid double period in over limit warning (#24831) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- frontend/src/scenes/billing/billingLogic.tsx | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/frontend/src/scenes/billing/billingLogic.tsx b/frontend/src/scenes/billing/billingLogic.tsx index 3c3f5505eeb34..971ade1b7d30c 100644 --- a/frontend/src/scenes/billing/billingLogic.tsx +++ b/frontend/src/scenes/billing/billingLogic.tsx @@ -479,8 +479,8 @@ export const billingLogic = kea([ ${productOverLimit.subscribed ? 'increase your billing limit' : 'upgrade your plan'} or ${ productOverLimit.name === 'Data warehouse' - ? 'data will not be synced.' - : 'data loss may occur.' + ? 'data will not be synced' + : 'data loss may occur' }.`, dismissKey: 'usage-limit-exceeded', }) From 2dcb74f349ed41ac6e110330039d024cd9f087c3 Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Fri, 6 Sep 2024 17:25:47 +0200 Subject: [PATCH 26/66] ci: Niceify Rust CI naming (#24834) --- .github/workflows/rust.yml | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/rust.yml b/.github/workflows/rust.yml index f4d14e9ed49ce..8849e6aefe280 100644 --- a/.github/workflows/rust.yml +++ b/.github/workflows/rust.yml @@ -1,4 +1,4 @@ -name: Rust test CI +name: Rust CI on: workflow_dispatch: @@ -16,7 +16,7 @@ jobs: runs-on: ubuntu-latest timeout-minutes: 5 if: github.repository == 'PostHog/posthog' - name: Determine need to run rust checks + name: Determine need to run Rust checks # Set job outputs to values from filter step outputs: rust: ${{ steps.filter.outputs.rust }} @@ -40,7 +40,7 @@ jobs: - 'ee/migrations/**' build: - name: Build rust services + name: Build Rust services needs: changes runs-on: depot-ubuntu-22.04-4 @@ -76,7 +76,7 @@ jobs: run: cargo build --all --locked --release && find target/release/ -maxdepth 1 -executable -type f | xargs strip test: - name: Test rust services + name: Test Rust services strategy: matrix: package: @@ -179,7 +179,7 @@ jobs: echo "Cargo test completed" linting: - name: Lint rust services + name: Lint Rust services needs: changes runs-on: depot-ubuntu-22.04-4 @@ -225,7 +225,7 @@ jobs: run: cargo check --all-features shear: - name: Shear rust services + name: Shear Rust services needs: changes runs-on: depot-ubuntu-22.04-4 From c7b854feb1ea2ee8d8c2240066ef4b73694242cd Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Fri, 6 Sep 2024 17:26:11 +0200 Subject: [PATCH 27/66] chore(frontend): Kill @ant-design/icons (#24817) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- .eslintrc.js | 6 +--- ...sights--trends-line-edit--dark--webkit.png | Bin 141478 -> 140915 bytes ...s-app-insights--trends-line-edit--dark.png | Bin 134156 -> 134221 bytes ...ights--trends-line-edit--light--webkit.png | Bin 139459 -> 139031 bytes ...-app-insights--trends-line-edit--light.png | Bin 134381 -> 134453 bytes ...empty-states--funnel-single-step--dark.png | Bin 47485 -> 41791 bytes ...mpty-states--funnel-single-step--light.png | Bin 47219 -> 42395 bytes .../src/lib/components/Cards/CardMeta.tsx | 23 +++++++++--- .../Cards/InsightCard/InsightMeta.tsx | 10 +----- .../SmoothingFilter/SmoothingFilter.tsx | 6 ++-- frontend/src/lib/components/TZLabel/index.tsx | 8 ++--- .../nodes/InsightViz/EditorFilters.tsx | 2 +- .../insights/EmptyStates/EmptyStates.tsx | 20 +++++++---- .../scenes/saved-insights/SavedInsights.scss | 5 --- package.json | 1 - pnpm-lock.yaml | 34 ------------------ 16 files changed, 41 insertions(+), 74 deletions(-) diff --git a/.eslintrc.js b/.eslintrc.js index d3d6deb301d6f..a2db223beffc0 100644 --- a/.eslintrc.js +++ b/.eslintrc.js @@ -113,11 +113,7 @@ module.exports = { { name: 'dayjs', message: 'Do not directly import dayjs. Only import the dayjs exported from lib/dayjs.', - }, - { - name: '@ant-design/icons', - message: 'Please use icons from the @posthog/icons package instead', - }, + } ], }, ], diff --git a/frontend/__snapshots__/scenes-app-insights--trends-line-edit--dark--webkit.png b/frontend/__snapshots__/scenes-app-insights--trends-line-edit--dark--webkit.png index ec10f0387e50449da25ab994d4a9010549c00c86..eb0e2b6898835ec79f3d9877d302f6c4217c7395 100644 GIT binary patch delta 121000 zcmcG$1yEH{-0qD9Qpy1VDd{fh1`$LWr5ow)&MhF_-Jqm&cPZW7Dc#+Dm%i_J@67k! zZ|1vq?mfc{$HT6(_S*mWJ)qXr#o%zq2^o zD?cE=LR6ib|H1i+S~E~?Zl0Qf9ydAsyC)H%;Bwm@nPc_MjqVm(GZ`gfH~G-P#?n&l zZhzmvz`*=oJr9rTZdVih*-k2_vxxfU#)aE{!-pr=7fsG9BR?aA3~eE zgM%?u?y#f#<$iUZno@>(>GYXOOSxpnMmrbIa9KkFneAHNy@+Mc+Q?)-Q!{kMG~7?t za5l29Dt`j@eW%&ot(N}#6*cuSegF04mzQd<>kU@t#5vdj_7!C&W3<+lRIiaPC=1S2(i}6-cy`Pjp9lvQyKnfQb~w78%0@?uh~pb$m(^d$x7RCpp;`h7`IUc%@#~y-K5Do= z<3ckE3TlB?ZK^y8TcUDN^x!<#L*$@7i#*ETqu3zsn|JXa2^wELJj_{j9#|YW-+^O9 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-
{topHeading}
+
+ {topHeading} + {samplingFactor && samplingFactor < 1 && ( + + + + )} +
{showDetailsControls && setAreDetailsShown && ( )} - {samplingNotice ? samplingNotice : null} {showEditingControls && }
diff --git a/frontend/src/lib/components/Cards/InsightCard/InsightMeta.tsx b/frontend/src/lib/components/Cards/InsightCard/InsightMeta.tsx index 20b1bf0987078..54297dde88a41 100644 --- a/frontend/src/lib/components/Cards/InsightCard/InsightMeta.tsx +++ b/frontend/src/lib/components/Cards/InsightCard/InsightMeta.tsx @@ -1,5 +1,3 @@ -// eslint-disable-next-line no-restricted-imports -import { PieChartFilled } from '@ant-design/icons' import { useValues } from 'kea' import { CardMeta } from 'lib/components/Cards/CardMeta' import { TopHeading } from 'lib/components/Cards/InsightCard/TopHeading' @@ -128,13 +126,7 @@ export function InsightMeta({ } metaDetails={} - samplingNotice={ - samplingFactor && samplingFactor < 1 ? ( - - - - ) : null - } + samplingFactor={samplingFactor} moreButtons={ <> <> diff --git a/frontend/src/lib/components/SmoothingFilter/SmoothingFilter.tsx b/frontend/src/lib/components/SmoothingFilter/SmoothingFilter.tsx index 1149bb6dbe7b0..f2f8994434f69 100644 --- a/frontend/src/lib/components/SmoothingFilter/SmoothingFilter.tsx +++ b/frontend/src/lib/components/SmoothingFilter/SmoothingFilter.tsx @@ -1,5 +1,4 @@ -// eslint-disable-next-line no-restricted-imports -import { FundOutlined } from '@ant-design/icons' +import { IconPulse } from '@posthog/icons' import { LemonSelect } from '@posthog/lemon-ui' import { useActions, useValues } from 'kea' import { insightLogic } from 'scenes/insights/insightLogic' @@ -25,7 +24,8 @@ export function SmoothingFilter(): JSX.Element | null { label: value === smoothingIntervals ? ( <> - {label} + + {label} ) : ( label diff --git a/frontend/src/lib/components/TZLabel/index.tsx b/frontend/src/lib/components/TZLabel/index.tsx index 8da75e0ccd3c2..0f237f21db989 100644 --- a/frontend/src/lib/components/TZLabel/index.tsx +++ b/frontend/src/lib/components/TZLabel/index.tsx @@ -1,8 +1,6 @@ import './index.scss' -// eslint-disable-next-line no-restricted-imports -import { LaptopOutlined, ProjectOutlined } from '@ant-design/icons' -import { IconGear } from '@posthog/icons' +import { IconGear, IconHome, IconLaptop } from '@posthog/icons' import { LemonButton, LemonDivider, LemonDropdown, LemonDropdownProps } from '@posthog/lemon-ui' import clsx from 'clsx' import { useActions, useValues } from 'kea' @@ -57,7 +55,7 @@ const TZLabelPopoverContent = React.memo(function TZLabelPopoverContent({
- +
Your device
{shortTimeZone(undefined, time.toDate())}
@@ -66,7 +64,7 @@ const TZLabelPopoverContent = React.memo(function TZLabelPopoverContent({ {currentTeam && (
- +
Project
{shortTimeZone(currentTeam.timezone, time.toDate())}
diff --git a/frontend/src/queries/nodes/InsightViz/EditorFilters.tsx b/frontend/src/queries/nodes/InsightViz/EditorFilters.tsx index 9231c69380628..c50d7bbdf153c 100644 --- a/frontend/src/queries/nodes/InsightViz/EditorFilters.tsx +++ b/frontend/src/queries/nodes/InsightViz/EditorFilters.tsx @@ -289,7 +289,7 @@ export function EditorFilters({ query, showing, embedded }: EditorFiltersProps):
{shouldShowSessionAnalysisWarning ? ( - + When using sessions and session properties, events without session IDs will be excluded from the set of results.{' '} Learn more about sessions. diff --git a/frontend/src/scenes/insights/EmptyStates/EmptyStates.tsx b/frontend/src/scenes/insights/EmptyStates/EmptyStates.tsx index 9e3b25bc2bddc..0c268dee77e6e 100644 --- a/frontend/src/scenes/insights/EmptyStates/EmptyStates.tsx +++ b/frontend/src/scenes/insights/EmptyStates/EmptyStates.tsx @@ -1,8 +1,14 @@ import './EmptyStates.scss' -// eslint-disable-next-line no-restricted-imports -import { PlusCircleOutlined, ThunderboltFilled } from '@ant-design/icons' -import { IconArchive, IconInfo, IconPlus, IconWarning } from '@posthog/icons' +import { + IconArchive, + IconInfo, + IconPieChart, + IconPlus, + IconPlusSmall, + IconPlusSquare, + IconWarning, +} from '@posthog/icons' import { LemonButton } from '@posthog/lemon-ui' import { useActions, useValues } from 'kea' import { AnimationType } from 'lib/animations/animations' @@ -69,7 +75,7 @@ function SamplingLink({ insightProps }: { insightProps: InsightLogicProps }): JS }) }} > - {suggestedSamplingPercentage}% sampling + {suggestedSamplingPercentage}% sampling ) @@ -341,10 +347,10 @@ export function FunnelSingleStepState({ actionable = true }: FunnelSingleStepSta
- +

Add another step!

-

+

You’re almost there! Funnels require at least two steps before calculating. {actionable && ' Once you have two steps defined, additional changes will recalculate automatically.'} @@ -480,7 +486,7 @@ export function SavedInsightsEmptyState(): JSX.Element { } + icon={} className="add-insight-button" > New insight diff --git a/frontend/src/scenes/saved-insights/SavedInsights.scss b/frontend/src/scenes/saved-insights/SavedInsights.scss index 768d883c174eb..bc9f2a281daaf 100644 --- a/frontend/src/scenes/saved-insights/SavedInsights.scss +++ b/frontend/src/scenes/saved-insights/SavedInsights.scss @@ -42,11 +42,6 @@ line-height: 1.7rem; color: var(--muted); } - - button.add-insight-button { - height: 50px; - padding: 0 3rem; - } } } } diff --git a/package.json b/package.json index 56a02c6bb6967..baaebf5affda2 100644 --- a/package.json +++ b/package.json @@ -66,7 +66,6 @@ "mypy-baseline-sync": "mypy -p posthog | mypy-baseline sync" }, "dependencies": { - "@ant-design/icons": "^4.7.0", "@babel/runtime": "^7.24.0", "@dnd-kit/core": "^6.0.8", "@dnd-kit/modifiers": "^6.0.1", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 2cdb58893d2ac..9109a24ea042e 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -19,9 +19,6 @@ patchedDependencies: path: patches/rrweb@2.0.0-alpha.13.patch dependencies: - '@ant-design/icons': - specifier: ^4.7.0 - version: 4.7.0(react-dom@18.2.0)(react@18.2.0) '@babel/runtime': specifier: ^7.24.0 version: 7.24.0 @@ -855,32 +852,6 @@ packages: '@jridgewell/gen-mapping': 0.1.1 '@jridgewell/trace-mapping': 0.3.17 - /@ant-design/colors@6.0.0: - resolution: {integrity: sha512-qAZRvPzfdWHtfameEGP2Qvuf838NhergR35o+EuVyB5XvSA98xod5r4utvi4TJ3ywmevm290g9nsCG5MryrdWQ==} - dependencies: - '@ctrl/tinycolor': 3.4.1 - dev: false - - /@ant-design/icons-svg@4.2.1: - resolution: {integrity: sha512-EB0iwlKDGpG93hW8f85CTJTs4SvMX7tt5ceupvhALp1IF44SeUFOMhKUOYqpsoYWQKAOuTRDMqn75rEaKDp0Xw==} - dev: false - - /@ant-design/icons@4.7.0(react-dom@18.2.0)(react@18.2.0): - resolution: {integrity: sha512-aoB4Z7JA431rt6d4u+8xcNPPCrdufSRMUOpxa1ab6mz1JCQZOEVolj2WVs/tDFmN62zzK30mNelEsprLYsSF3g==} - engines: {node: '>=8'} - peerDependencies: - react: '>=16.0.0' - react-dom: '>=16.0.0' - dependencies: - '@ant-design/colors': 6.0.0 - '@ant-design/icons-svg': 4.2.1 - '@babel/runtime': 7.24.0 - classnames: 2.3.2 - rc-util: 5.24.4(react-dom@18.2.0)(react@18.2.0) - react: 18.2.0 - react-dom: 18.2.0(react@18.2.0) - dev: false - /@aw-web-design/x-default-browser@1.4.126: resolution: {integrity: sha512-Xk1sIhyNC/esHGGVjL/niHLowM0csl/kFO5uawBy4IrWwy0o1G8LGt3jP6nmWGz+USxeeqbihAmp/oVZju6wug==} hasBin: true @@ -4142,11 +4113,6 @@ packages: postcss-selector-parser: 6.0.15 dev: false - /@ctrl/tinycolor@3.4.1: - resolution: {integrity: sha512-ej5oVy6lykXsvieQtqZxCOaLT+xD4+QNarq78cIYISHmZXshCvROLudpQN3lfL8G0NL7plMSSK+zlyvCaIJ4Iw==} - engines: {node: '>=10'} - dev: false - /@cypress/request@3.0.1: resolution: {integrity: sha512-TWivJlJi8ZDx2wGOw1dbLuHJKUYX7bWySw377nlnGOW3hP9/MUKIsEdXT/YngWxVdgNCHRBmFlBipE+5/2ZZlQ==} engines: {node: '>= 6'} From af48da54260774533f7676fa49ad25d27e762c88 Mon Sep 17 00:00:00 2001 From: Elvis <43846394+Elvis339@users.noreply.github.com> Date: Fri, 6 Sep 2024 20:22:32 +0400 Subject: [PATCH 28/66] feat(kafka-producer): ping kafka brokers (#24836) Co-authored-by: Brett Hoerner --- rust/common/kafka/src/kafka_producer.rs | 21 ++++++++++++++++++--- 1 file changed, 18 insertions(+), 3 deletions(-) diff --git a/rust/common/kafka/src/kafka_producer.rs b/rust/common/kafka/src/kafka_producer.rs index 4f30850125415..965406a1ce08c 100644 --- a/rust/common/kafka/src/kafka_producer.rs +++ b/rust/common/kafka/src/kafka_producer.rs @@ -3,12 +3,12 @@ use crate::config::KafkaConfig; use futures::future::join_all; use health::HealthHandle; use rdkafka::error::KafkaError; -use rdkafka::producer::{FutureProducer, FutureRecord}; +use rdkafka::producer::{FutureProducer, FutureRecord, Producer}; use rdkafka::ClientConfig; use serde::Serialize; use serde_json::error::Error as SerdeError; use thiserror::Error; -use tracing::debug; +use tracing::{debug, error, info}; pub struct KafkaContext { liveness: HealthHandle, @@ -55,7 +55,22 @@ pub async fn create_kafka_producer( let api: FutureProducer = client_config.create_with_context(KafkaContext { liveness })?; - // TODO: ping the kafka brokers to confirm configuration is OK (copy capture) + // "Ping" the Kafka brokers by requesting metadata + match api + .client() + .fetch_metadata(None, std::time::Duration::from_secs(15)) + { + Ok(metadata) => { + info!( + "Successfully connected to Kafka brokers. Found {} topics.", + metadata.topics().len() + ); + } + Err(error) => { + error!("Failed to fetch metadata from Kafka brokers: {:?}", error); + return Err(error); + } + } Ok(api) } From 4507c31c0895b6de6441e94b43126ea7e5a7d935 Mon Sep 17 00:00:00 2001 From: Eric Duong Date: Fri, 6 Sep 2024 14:22:08 -0400 Subject: [PATCH 29/66] feat(data-warehouse): modeling ui (#24587) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- ...000-navigation--navigation-3000--light.png | Bin 90153 -> 90054 bytes ...3000-navigation--navigation-base--dark.png | Bin 104535 -> 104808 bytes ...000-navigation--navigation-base--light.png | Bin 105853 -> 106330 bytes ...s-app-insights--user-paths-edit--light.png | Bin 178457 -> 179559 bytes ...idepanels--side-panel-activation--dark.png | Bin 57321 -> 57380 bytes ...-app-sidepanels--side-panel-docs--dark.png | Bin 149416 -> 149462 bytes ...sidepanels--side-panel-notebooks--dark.png | Bin 76564 -> 76621 bytes ...-sidepanels--side-panel-settings--dark.png | Bin 112543 -> 112449 bytes ...sidepanels--side-panel-settings--light.png | Bin 115138 -> 115038 bytes ...els--side-panel-support-no-email--dark.png | Bin 95001 -> 95044 bytes ...s--side-panel-support-with-email--dark.png | Bin 196789 -> 195393 bytes ...--side-panel-support-with-email--light.png | Bin 190328 -> 189044 bytes .../layout/navigation-3000/Navigation.scss | 8 + .../src/layout/navigation-3000/Navigation.tsx | 3 +- .../navigation-3000/navigationLogic.tsx | 8 + frontend/src/lib/api.ts | 12 + frontend/src/lib/constants.tsx | 1 + frontend/src/queries/schema.json | 3 + frontend/src/queries/schema.ts | 1 + frontend/src/scenes/appScenes.ts | 1 + .../src/scenes/data-model/DataModelScene.tsx | 27 ++ frontend/src/scenes/data-model/Node.tsx | 20 + .../scenes/data-model/NodeCanvasWithTable.tsx | 405 ++++++++++++++++++ .../src/scenes/data-model/TableFields.tsx | 100 +++++ .../scenes/data-model/dataModelSceneLogic.tsx | 97 +++++ frontend/src/scenes/data-model/types.ts | 28 ++ frontend/src/scenes/sceneTypes.ts | 3 +- frontend/src/scenes/scenes.ts | 7 + frontend/src/scenes/urls.ts | 1 + posthog/hogql/database/database.py | 13 +- posthog/hogql/database/models.py | 1 + .../test/__snapshots__/test_database.ambr | 244 +++++++++++ posthog/hogql/database/test/tables.py | 3 + posthog/schema.py | 1 + posthog/warehouse/api/saved_query.py | 16 +- .../warehouse/api/test/test_saved_query.py | 16 +- .../models/datawarehouse_saved_query.py | 1 + 37 files changed, 1004 insertions(+), 16 deletions(-) create mode 100644 frontend/src/scenes/data-model/DataModelScene.tsx create mode 100644 frontend/src/scenes/data-model/Node.tsx create mode 100644 frontend/src/scenes/data-model/NodeCanvasWithTable.tsx create mode 100644 frontend/src/scenes/data-model/TableFields.tsx create mode 100644 frontend/src/scenes/data-model/dataModelSceneLogic.tsx create mode 100644 frontend/src/scenes/data-model/types.ts diff --git 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zk{r$nujkST7a%2fpX24ZYq-HjbNvdQ@BZ!2f3DEDnR-5R<#=G{*ylE!T6Q5Cad97U zZ*$gt1dXzI1sGqAp8y~j?gv{tMuB2)(|8AXY;(jm&1ru7e06wZK;L*&eRD4KVi@v; z^mf5FbD~Q(rewX#CF0@#koDD3RXt(Xmj(&xM(OVEkWfHCq`SL8KqL+&-60@Iigb5( zcXxMp*LU>yzTZFZy8p25V%;|hcUP%#lL$PO z7RhntS1$W#ezDD7pHC7b+7DgZ(+w-sNEgxNiTlQ4f76DiTxTi$O)!Z4+?Lu^+&!Fk z&s$*qea_R0dCfaTRo>?cd^_7Pj!$p`sun0#w(1`hRYl8D?ArpmfuwiE_@5upQv{qO zyrv2tO+>>cjs&CXT*}?N%F|AhiGCdDSi~V1@-UAd5PDUPPGr)OB(aznWXDtM zew)M56F%P^vyA{XMBgN`{becjdz0Z3}a%OA$ClO#)w + ) +} + +export default GenericNode diff --git a/frontend/src/scenes/data-model/NodeCanvasWithTable.tsx b/frontend/src/scenes/data-model/NodeCanvasWithTable.tsx new file mode 100644 index 0000000000000..21bee4a55f046 --- /dev/null +++ b/frontend/src/scenes/data-model/NodeCanvasWithTable.tsx @@ -0,0 +1,405 @@ +import clsx from 'clsx' +import { useEffect, useRef, useState } from 'react' + +import GenericNode from './Node' +import { FixedField, JoinedField, TableFields } from './TableFields' +import { Edge, Node, NodePosition, NodePositionWithBounds, NodeWithDepth, Position } from './types' + +const VERTICAL_SPACING = 150 +const HORIZONTAL_SPACING = 250 + +// TODO: Refactor this to be done in the backend +const assignDepths = (nodes: Node[]): NodeWithDepth[] => { + const nodeMap: { [id: string]: NodeWithDepth } = {} + + // Initialize all nodes with depth -1 + nodes.forEach((node) => { + nodeMap[node.nodeId] = { ...node, depth: -1 } + }) + + const assignDepthRecursive = (nodeId: string, currentDepth: number): void => { + const node = nodeMap[nodeId] + if (!node) { + return + } // Skip if node doesn't exist or already processed + + node.depth = currentDepth + + // Process leaf nodes + node.leaf.forEach((leafId) => { + if (nodeMap[leafId]) { + assignDepthRecursive(leafId, currentDepth + 1) + } + }) + } + + // Start assigning depths from each unprocessed node + nodes.forEach((node) => { + if (nodeMap[node.nodeId].depth === -1) { + assignDepthRecursive(node.nodeId, 0) + } + }) + + return Object.values(nodeMap) +} + +const calculateNodePositions = (nodesWithDepth: NodeWithDepth[]): NodePosition[] => { + const padding = 50 + // Order nodes by depth + nodesWithDepth.sort((a, b) => a.depth - b.depth) + + // Create a map to store the next available row for each depth + const depthRowMap: { [key: number]: number } = {} + + // Update node positions based on depth + const nodePositions = nodesWithDepth.map((node) => { + const col = node.depth + + // If this is the first node at this depth, initialize the row + if (depthRowMap[col] === undefined) { + depthRowMap[col] = 0 + } + + // Reset row to match root if new column + if (col > 0 && depthRowMap[col] === 0) { + depthRowMap[col] = depthRowMap[0] - 1 || 0 + } + + const row = depthRowMap[col] + + // Update the next available row for this depth + depthRowMap[col] = row + 1 + + return { + ...node, + position: { + x: padding + col * HORIZONTAL_SPACING, + y: padding + row * VERTICAL_SPACING, + }, + } + }) + + return nodePositions +} + +const calculateTablePosition = (nodePositions: NodePosition[]): Position => { + // Find the node with the maximum x position + const farthestNode = nodePositions.reduce((max, node) => (node.position.x > max.position.x ? node : max)) + + // Calculate the table position to be slightly to the right of the farthest node + const tablePosition: Position = { + x: farthestNode.position.x + 300, // Add some padding + y: 100, // Fixed y position for the table + } + + return tablePosition +} + +const calculateEdges = (nodeRefs: (HTMLDivElement | null)[], nodes: NodePosition[]): Edge[] => { + const nodes_map = nodes.reduce((acc: Record, node) => { + acc[node.nodeId] = node + return acc + }, {}) + + const dfs = (nodeId: string, visited: Set = new Set(), depth: number = 0): Edge[] => { + if (visited.has(nodeId)) { + return [] + } + visited.add(nodeId) + + const node = nodes_map[nodeId] + if (!node) { + return [] + } + + const nodeRef = nodeRefs.find((ref) => ref?.id === nodeId) + if (!nodeRef) { + return [] + } + + const edges: Edge[] = [] + const fromWithBounds = calculateBound(node, nodeRef) + + for (let i = 0; i < node.leaf.length; i++) { + const leafId = node.leaf[i] + const toNode = nodes_map[leafId] + const toRef = nodeRefs.find((ref) => ref?.id === leafId) + + if (toNode && toRef) { + const toWithBounds = calculateBound(toNode, toRef) + const newEdges = calculateEdgesFromTo(fromWithBounds, toWithBounds) + edges.push(...newEdges) + } + + depth = i > 0 ? depth + 1 : depth + edges.push(...dfs(leafId, visited, depth)) + } + + return edges + } + + const edges: Edge[] = [] + + const visited = new Set() + for (const node of nodes) { + if (!visited.has(node.nodeId)) { + edges.push(...dfs(node.nodeId, visited)) + } + } + + return edges +} + +const calculateBound = (node: NodePosition, ref: HTMLDivElement | null): NodePositionWithBounds => { + if (!ref) { + return { + ...node, + left: null, + right: null, + } + } + + const { x, y } = node.position + const { width, height } = ref.getBoundingClientRect() + return { + ...node, + left: { x, y: y + height / 2 }, + right: { x: x + width, y: y + height / 2 }, + } +} + +const calculateEdgesFromTo = (from: NodePositionWithBounds, to: NodePositionWithBounds): Edge[] => { + if (!from.right || !to.left) { + return [] + } + + const edges = [] + edges.push({ + from: from.right, + to: to.left, + }) + + return edges +} + +interface ScrollableDraggableCanvasProps { + nodes: Node[] + fixedFields: FixedField[] + joinedFields: JoinedField[] + tableName: string +} + +const NodeCanvasWithTable = ({ + nodes, + fixedFields, + joinedFields, + tableName, +}: ScrollableDraggableCanvasProps): JSX.Element => { + const canvasRef = useRef(null) + const [isDragging, setIsDragging] = useState(false) + const [offset, setOffset] = useState({ x: 0, y: 0 }) + const [dragStart, setDragStart] = useState({ x: 0, y: 0 }) + const rowsRefs = useRef<(HTMLDivElement | null)[]>(Array(joinedFields.length).fill(null)) + const nodeRefs = useRef<(HTMLDivElement | null)[]>(Array(nodes.length).fill(null)) + const tableNodeRef = useRef(null) + const [nodePositions, setNodePositions] = useState([]) + const [tablePosition, setTablePosition] = useState({ x: 0, y: 0 }) + const [edges, setEdges] = useState([]) + + useEffect(() => { + const nodesWithDepth = assignDepths(nodes) + const nodePositions = calculateNodePositions(nodesWithDepth) + setNodePositions(nodePositions) + const tablePosition = calculateTablePosition(nodePositions) + setTablePosition(tablePosition) + }, [nodes, fixedFields, joinedFields]) + + useEffect(() => { + const allNodes = [...nodePositions] + // calculated table row positions + rowsRefs.current.forEach((ref) => { + const rect = ref?.getBoundingClientRect() + const nodeRect = tableNodeRef.current?.getBoundingClientRect() + + if (!rect) { + return + } + + if (nodeRect && ref) { + allNodes.push({ + nodeId: ref.id, + name: 'Table', + position: { x: tablePosition.x, y: tablePosition.y + (rect.y - nodeRect.y) }, + leaf: [], + depth: -1, + }) + } + }) + + const calculatedEdges = calculateEdges([...nodeRefs.current, ...rowsRefs.current], allNodes) + setEdges(calculatedEdges) + }, [nodePositions, tablePosition]) + + const drawGrid = (ctx: CanvasRenderingContext2D, canvasWidth: number, canvasHeight: number): void => { + ctx.fillStyle = '#000000' + ctx.imageSmoothingEnabled = true + const dotSize = 0.5 + const spacing = 10 + + for (let x = offset.x % spacing; x < canvasWidth; x += spacing) { + for (let y = offset.y % spacing; y < canvasHeight; y += spacing) { + ctx.fillRect(x, y, dotSize, dotSize) + } + } + } + + useEffect(() => { + const canvas = canvasRef.current + + if (canvas) { + const ctx = canvas.getContext('2d') + if (!ctx) { + return + } + const { width, height } = canvas.getBoundingClientRect() + + canvas.width = width + canvas.height = height + + drawGrid(ctx, width, height) + } + + const handleResize = (): void => { + if (canvas) { + const { width, height } = canvas.getBoundingClientRect() + canvas.width = width + canvas.height = height + const ctx = canvas.getContext('2d') + if (ctx) { + drawGrid(ctx, width, height) + } + } + } + + window.addEventListener('resize', handleResize) + + return () => { + window.removeEventListener('resize', handleResize) + } + }, [offset, nodePositions]) + + const handleMouseDown = (e: React.MouseEvent): void => { + setIsDragging(true) + setDragStart({ x: e.clientX - offset.x, y: e.clientY - offset.y }) + } + + const handleMouseMove = (e: React.MouseEvent): void => { + if (!isDragging) { + return + } + const newOffset = { + x: e.clientX - dragStart.x, + y: e.clientY - dragStart.y, + } + setOffset(newOffset) + } + + const handleMouseUp = (): void => { + setIsDragging(false) + } + + return ( +
+ + + {edges.map((edge, index) => { + const controlPoint1X = edge.from.x + offset.x + (edge.to.x - edge.from.x) / 3 + const controlPoint1Y = edge.from.y + offset.y + const controlPoint2X = edge.to.x + offset.x - (edge.to.x - edge.from.x) / 3 + const controlPoint2Y = edge.to.y + offset.y + return ( + + ) + })} + + {nodePositions.map(({ name, position, nodeId }, idx) => { + return ( +
+ { + nodeRefs.current[idx] = el + nodeRefs.current[idx]?.setAttribute('id', nodeId) + }} + > + {name} + +
+ ) + })} + +
+ +
+
+ ) +} + +export default NodeCanvasWithTable + +interface TableFieldNodeProps { + fixedFields: FixedField[] + joinedFields: JoinedField[] + rowsRefs: React.MutableRefObject<(HTMLDivElement | null)[]> + nodeRef: React.MutableRefObject + tableName: string +} + +function TableFieldNode({ nodeRef, rowsRefs, fixedFields, joinedFields, tableName }: TableFieldNodeProps): JSX.Element { + return ( +
+ +
+ ) +} diff --git a/frontend/src/scenes/data-model/TableFields.tsx b/frontend/src/scenes/data-model/TableFields.tsx new file mode 100644 index 0000000000000..5c697da0f1189 --- /dev/null +++ b/frontend/src/scenes/data-model/TableFields.tsx @@ -0,0 +1,100 @@ +import { IconPlus } from '@posthog/icons' +import { LemonButton, LemonTable } from '@posthog/lemon-ui' +import { useActions } from 'kea' +import { viewLinkLogic } from 'scenes/data-warehouse/viewLinkLogic' +export interface FixedField { + column: string + type: string +} + +export interface JoinedField { + nodeId: string + type: string + table: string +} + +export interface TableFieldsProps { + fixedFields: FixedField[] + joinedFields: JoinedField[] + rowsRefs: React.MutableRefObject<(HTMLDivElement | null)[]> + tableName: string +} + +export function TableFields({ fixedFields, joinedFields, rowsRefs, tableName }: TableFieldsProps): JSX.Element { + const { toggleJoinTableModal, selectSourceTable } = useActions(viewLinkLogic) + + return ( +
+
+
+

{tableName}

+
+
+
+
{ + rowsRefs.current[joinedFields.length] = el + rowsRefs.current[joinedFields.length]?.setAttribute('id', 'schema') + }} + className="pl-4 mt-4" + > +

Schema

+
+ column, + }, + { + key: 'type', + render: (_, { type }) => type, + }, + ]} + dataSource={fixedFields} + loading={false} + showHeader={false} + /> +
+
+
+

Joined Tables

+ } + onClick={() => { + selectSourceTable(tableName) + toggleJoinTableModal() + }} + > + Add join + +
+ ( +
{ + rowsRefs.current[idx] = el + rowsRefs.current[idx]?.setAttribute('id', nodeId) + }} + className="flex flex-col" + > + {nodeId} +
+ ), + }, + ]} + loading={false} + showHeader={false} + dataSource={joinedFields} + /> +
+
+ ) +} diff --git a/frontend/src/scenes/data-model/dataModelSceneLogic.tsx b/frontend/src/scenes/data-model/dataModelSceneLogic.tsx new file mode 100644 index 0000000000000..c594ebb2b243a --- /dev/null +++ b/frontend/src/scenes/data-model/dataModelSceneLogic.tsx @@ -0,0 +1,97 @@ +import { actions, connect, kea, listeners, path, reducers, selectors } from 'kea' +import { subscriptions } from 'kea-subscriptions' +import api from 'lib/api' +import { databaseTableListLogic } from 'scenes/data-management/database/databaseTableListLogic' + +import { DatabaseSchemaTable } from '~/queries/schema' +import { DataWarehouseSavedQuery } from '~/types' + +import type { dataModelSceneLogicType } from './dataModelSceneLogicType' +import { Node } from './types' + +export const dataModelSceneLogic = kea([ + path(['scenes', 'data-model', 'dataModelSceneLogic']), + connect(() => ({ + values: [databaseTableListLogic, ['posthogTablesMap', 'viewsMapById']], + })), + actions({ + traverseAncestors: (viewId: DataWarehouseSavedQuery['id']) => ({ viewId }), + setNodes: (nodes: Record) => ({ nodes }), + }), + reducers({ + nodeMap: [ + {} as Record, + { + setNodes: (_, { nodes }) => nodes, + }, + ], + }), + listeners(({ actions, values }) => ({ + traverseAncestors: async ({ viewId }) => { + const result = await api.dataWarehouseSavedQueries.ancestors(viewId) + + result.ancestors.forEach((ancestor) => { + actions.setNodes({ + ...values.nodeMap, + [ancestor]: { + nodeId: ancestor, + name: values.viewsMapById[ancestor]?.name || ancestor, + leaf: [...(values.nodeMap[ancestor]?.leaf || []), viewId], + }, + }) + }) + }, + })), + selectors({ + personFields: [(s) => [s.posthogTablesMap], (posthogTablesMap) => posthogTablesMap['persons']?.fields || []], + simplifiedPersonFields: [ + (s) => [s.personFields], + (personFields) => + Object.entries(personFields) + .filter(([_, data]) => data.type != 'view') + .map(([column, data]) => ({ column, type: data.type })), + ], + joinedFields: [ + (s) => [s.personFields], + (personFields) => + Object.entries(personFields) + .filter(([_, data]) => data.type == 'view') + .map(([_, data]) => data), + ], + joinedFieldsAsNodes: [ + (s) => [s.joinedFields], + (joinedFields) => + joinedFields.map((field) => ({ + nodeId: field.name, + type: 'view', + table: field.name, + })) || [], + ], + allNodes: [ + (s) => [s.nodeMap], + (nodeMap) => [ + { + nodeId: 'posthog', + name: 'PostHog', + leaf: ['schema'], + }, + ...Object.values(nodeMap), + ], + ], + }), + subscriptions(({ actions, values }) => ({ + joinedFields: (joinedFields) => { + joinedFields.forEach((field: DatabaseSchemaTable) => { + actions.setNodes({ + ...values.nodeMap, + [field.id]: { + nodeId: field.id, + name: values.viewsMapById[field.id]?.name || field.id, + leaf: [field.name], + }, + }) + actions.traverseAncestors(field.id) + }) + }, + })), +]) diff --git a/frontend/src/scenes/data-model/types.ts b/frontend/src/scenes/data-model/types.ts new file mode 100644 index 0000000000000..f774137452f04 --- /dev/null +++ b/frontend/src/scenes/data-model/types.ts @@ -0,0 +1,28 @@ +export interface Position { + x: number + y: number +} + +export interface Node { + nodeId: string + name: string + leaf: string[] +} + +export interface NodeWithDepth extends Node { + depth: number +} + +export interface NodePosition extends NodeWithDepth { + position: Position +} + +export interface Edge { + from: Position + to: Position +} + +export interface NodePositionWithBounds extends NodePosition { + left: Position | null + right: Position | null +} diff --git a/frontend/src/scenes/sceneTypes.ts b/frontend/src/scenes/sceneTypes.ts index adddb012a10b3..5624d8b2028d1 100644 --- a/frontend/src/scenes/sceneTypes.ts +++ b/frontend/src/scenes/sceneTypes.ts @@ -43,6 +43,7 @@ export enum Scene { Survey = 'Survey', SurveyTemplates = 'SurveyTemplates', DataWarehouse = 'DataWarehouse', + DataModel = 'DataModel', DataWarehouseExternal = 'DataWarehouseExternal', DataWarehouseTable = 'DataWarehouseTable', DataWarehouseRedirect = 'DataWarehouseRedirect', @@ -125,7 +126,7 @@ export interface SceneConfig { * If `plain`, there's no navigation present, and the scene has no padding. * @default 'app' */ - layout?: 'app' | 'app-raw' | 'app-container' | 'plain' + layout?: 'app' | 'app-raw' | 'app-canvas' | 'app-container' | 'plain' /** Hides project notice (ProjectNotice.tsx). */ hideProjectNotice?: boolean /** Hides billing notice (BillingAlertsV2.tsx). */ diff --git a/frontend/src/scenes/scenes.ts b/frontend/src/scenes/scenes.ts index 7581e424bd2fd..036efe7ae5940 100644 --- a/frontend/src/scenes/scenes.ts +++ b/frontend/src/scenes/scenes.ts @@ -215,6 +215,12 @@ export const sceneConfigurations: Record = { name: 'New survey', defaultDocsPath: '/docs/surveys/creating-surveys', }, + [Scene.DataModel]: { + projectBased: true, + name: 'Visualize person schema', + defaultDocsPath: '/docs/data-datawarehouse', + layout: 'app-canvas', + }, [Scene.DataWarehouse]: { projectBased: true, name: 'Data warehouse', @@ -514,6 +520,7 @@ export const routes: Record = { [urls.surveys()]: Scene.Surveys, [urls.survey(':id')]: Scene.Survey, [urls.surveyTemplates()]: Scene.SurveyTemplates, + [urls.dataModel()]: Scene.DataModel, [urls.dataWarehouse()]: Scene.DataWarehouse, [urls.dataWarehouseView(':id')]: Scene.DataWarehouse, [urls.dataWarehouseTable()]: Scene.DataWarehouseTable, diff --git a/frontend/src/scenes/urls.ts b/frontend/src/scenes/urls.ts index cc046586fc768..7de7817ad5ebb 100644 --- a/frontend/src/scenes/urls.ts +++ b/frontend/src/scenes/urls.ts @@ -145,6 +145,7 @@ export const urls = { /** @param id A UUID or 'new'. ':id' for routing. */ survey: (id: string): string => `/surveys/${id}`, surveyTemplates: (): string => '/survey_templates', + dataModel: (): string => '/data-model', dataWarehouse: (query?: string | Record): string => combineUrl(`/data-warehouse`, {}, query ? { q: typeof query === 'string' ? query : JSON.stringify(query) } : {}) .url, diff --git a/posthog/hogql/database/database.py b/posthog/hogql/database/database.py index 3f07f8bc763a5..5030f966929e4 100644 --- a/posthog/hogql/database/database.py +++ b/posthog/hogql/database/database.py @@ -748,15 +748,24 @@ def serialize_fields( ) ) elif isinstance(field, LazyJoin): - is_view = isinstance(field.resolve_table(context), SavedQuery) + resolved_table = field.resolve_table(context) + + if isinstance(resolved_table, SavedQuery): + type = DatabaseSerializedFieldType.VIEW + id = str(resolved_table.id) + else: + type = DatabaseSerializedFieldType.LAZY_TABLE + id = None + field_output.append( DatabaseSchemaField( name=field_key, hogql_value=hogql_value, - type=DatabaseSerializedFieldType.VIEW if is_view else DatabaseSerializedFieldType.LAZY_TABLE, + type=type, schema_valid=schema_valid, table=field.resolve_table(context).to_printed_hogql(), fields=list(field.resolve_table(context).fields.keys()), + id=id, ) ) elif isinstance(field, VirtualTable): diff --git a/posthog/hogql/database/models.py b/posthog/hogql/database/models.py index fe90976bec3cd..f7e0211e419e2 100644 --- a/posthog/hogql/database/models.py +++ b/posthog/hogql/database/models.py @@ -219,6 +219,7 @@ class SavedQuery(Table): A table that returns a subquery, e.g. my_saved_query -> (SELECT * FROM some_saved_table). The team_id guard is NOT added for the overall subquery """ + id: str query: str name: str diff --git a/posthog/hogql/database/test/__snapshots__/test_database.ambr b/posthog/hogql/database/test/__snapshots__/test_database.ambr index 6e4834dda1031..8345a36c4208c 100644 --- a/posthog/hogql/database/test/__snapshots__/test_database.ambr +++ b/posthog/hogql/database/test/__snapshots__/test_database.ambr @@ -23,6 +23,7 @@ "chain": null, "fields": null, "hogql_value": "uuid", + "id": null, "name": "uuid", "schema_valid": true, "table": null, @@ -32,6 +33,7 @@ "chain": null, "fields": null, "hogql_value": "event", + "id": null, "name": "event", "schema_valid": true, "table": null, @@ -41,6 +43,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -50,6 +53,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -59,6 +63,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -68,6 +73,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain", + "id": null, "name": "elements_chain", "schema_valid": true, "table": null, @@ -77,6 +83,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -86,6 +93,7 @@ "chain": null, "fields": null, "hogql_value": "`$session_id`", + "id": null, "name": "$session_id", "schema_valid": true, "table": null, @@ -95,6 +103,7 @@ "chain": null, "fields": null, "hogql_value": "`$window_id`", + "id": null, "name": "$window_id", "schema_valid": true, "table": null, @@ -109,6 +118,7 @@ "person" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -122,6 +132,7 @@ "properties" ], "hogql_value": "poe", + "id": null, "name": "poe", "schema_valid": true, "table": "events", @@ -135,6 +146,7 @@ "properties" ], "hogql_value": "goe_0", + "id": null, "name": "goe_0", "schema_valid": true, "table": "events", @@ -148,6 +160,7 @@ "properties" ], "hogql_value": "goe_1", + "id": null, "name": "goe_1", "schema_valid": true, "table": "events", @@ -161,6 +174,7 @@ "properties" ], "hogql_value": "goe_2", + "id": null, "name": "goe_2", "schema_valid": true, "table": "events", @@ -174,6 +188,7 @@ "properties" ], "hogql_value": "goe_3", + "id": null, "name": "goe_3", "schema_valid": true, "table": "events", @@ -187,6 +202,7 @@ "properties" ], "hogql_value": "goe_4", + "id": null, "name": "goe_4", "schema_valid": true, "table": "events", @@ -199,6 +215,7 @@ ], "fields": null, "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": null, @@ -211,6 +228,7 @@ ], "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -220,6 +238,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_0`", + "id": null, "name": "$group_0", "schema_valid": true, "table": null, @@ -236,6 +255,7 @@ "properties" ], "hogql_value": "group_0", + "id": null, "name": "group_0", "schema_valid": true, "table": "groups", @@ -245,6 +265,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_1`", + "id": null, "name": "$group_1", "schema_valid": true, "table": null, @@ -261,6 +282,7 @@ "properties" ], "hogql_value": "group_1", + "id": null, "name": "group_1", "schema_valid": true, "table": "groups", @@ -270,6 +292,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_2`", + "id": null, "name": "$group_2", "schema_valid": true, "table": null, @@ -286,6 +309,7 @@ "properties" ], "hogql_value": "group_2", + "id": null, "name": "group_2", "schema_valid": true, "table": "groups", @@ -295,6 +319,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_3`", + "id": null, "name": "$group_3", "schema_valid": true, "table": null, @@ -311,6 +336,7 @@ "properties" ], "hogql_value": "group_3", + "id": null, "name": "group_3", "schema_valid": true, "table": "groups", @@ -320,6 +346,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_4`", + "id": null, "name": "$group_4", "schema_valid": true, "table": null, @@ -336,6 +363,7 @@ "properties" ], "hogql_value": "group_4", + "id": null, "name": "group_4", "schema_valid": true, "table": "groups", @@ -376,6 +404,7 @@ "$page_screen_autocapture_count_up_to" ], "hogql_value": "session", + "id": null, "name": "session", "schema_valid": true, "table": "sessions", @@ -385,6 +414,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_href", + "id": null, "name": "elements_chain_href", "schema_valid": true, "table": null, @@ -394,6 +424,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_texts", + "id": null, "name": "elements_chain_texts", "schema_valid": true, "table": null, @@ -403,6 +434,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_ids", + "id": null, "name": "elements_chain_ids", "schema_valid": true, "table": null, @@ -412,6 +444,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_elements", + "id": null, "name": "elements_chain_elements", "schema_valid": true, "table": null, @@ -428,6 +461,7 @@ "chain": null, "fields": null, "hogql_value": "index", + "id": null, "name": "index", "schema_valid": true, "table": null, @@ -437,6 +471,7 @@ "chain": null, "fields": null, "hogql_value": "key", + "id": null, "name": "key", "schema_valid": true, "table": null, @@ -446,6 +481,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -455,6 +491,7 @@ "chain": null, "fields": null, "hogql_value": "updated_at", + "id": null, "name": "updated_at", "schema_valid": true, "table": null, @@ -464,6 +501,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -480,6 +518,7 @@ "chain": null, "fields": null, "hogql_value": "id", + "id": null, "name": "id", "schema_valid": true, "table": null, @@ -489,6 +528,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -498,6 +538,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -507,6 +548,7 @@ "chain": null, "fields": null, "hogql_value": "is_identified", + "id": null, "name": "is_identified", "schema_valid": true, "table": null, @@ -520,6 +562,7 @@ "person_id" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -529,6 +572,7 @@ "chain": null, "fields": null, "hogql_value": "`$virt_initial_referring_domain_type`", + "id": null, "name": "$virt_initial_referring_domain_type", "schema_valid": true, "table": null, @@ -538,6 +582,7 @@ "chain": null, "fields": null, "hogql_value": "`$virt_initial_channel_type`", + "id": null, "name": "$virt_initial_channel_type", "schema_valid": true, "table": null, @@ -554,6 +599,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -563,6 +609,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -581,6 +628,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -597,6 +645,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -606,6 +655,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -615,6 +665,7 @@ "chain": null, "fields": null, "hogql_value": "first_url", + "id": null, "name": "first_url", "schema_valid": true, "table": null, @@ -624,6 +675,7 @@ "chain": null, "fields": null, "hogql_value": "click_count", + "id": null, "name": "click_count", "schema_valid": true, "table": null, @@ -633,6 +685,7 @@ "chain": null, "fields": null, "hogql_value": "keypress_count", + "id": null, "name": "keypress_count", "schema_valid": true, "table": null, @@ -642,6 +695,7 @@ "chain": null, "fields": null, "hogql_value": "mouse_activity_count", + "id": null, "name": "mouse_activity_count", "schema_valid": true, "table": null, @@ -651,6 +705,7 @@ "chain": null, "fields": null, "hogql_value": "active_milliseconds", + "id": null, "name": "active_milliseconds", "schema_valid": true, "table": null, @@ -660,6 +715,7 @@ "chain": null, "fields": null, "hogql_value": "console_log_count", + "id": null, "name": "console_log_count", "schema_valid": true, "table": null, @@ -669,6 +725,7 @@ "chain": null, "fields": null, "hogql_value": "console_warn_count", + "id": null, "name": "console_warn_count", "schema_valid": true, "table": null, @@ -678,6 +735,7 @@ "chain": null, "fields": null, "hogql_value": "console_error_count", + "id": null, "name": "console_error_count", "schema_valid": true, "table": null, @@ -687,6 +745,7 @@ "chain": null, "fields": null, "hogql_value": "size", + "id": null, "name": "size", "schema_valid": true, "table": null, @@ -696,6 +755,7 @@ "chain": null, "fields": null, "hogql_value": "event_count", + "id": null, "name": "event_count", "schema_valid": true, "table": null, @@ -705,6 +765,7 @@ "chain": null, "fields": null, "hogql_value": "message_count", + "id": null, "name": "message_count", "schema_valid": true, "table": null, @@ -714,6 +775,7 @@ "chain": null, "fields": null, "hogql_value": "snapshot_source", + "id": null, "name": "snapshot_source", "schema_valid": true, "table": null, @@ -758,6 +820,7 @@ "elements_chain_elements" ], "hogql_value": "events", + "id": null, "name": "events", "schema_valid": true, "table": "events", @@ -770,6 +833,7 @@ ], "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -784,6 +848,7 @@ "person" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -801,6 +866,7 @@ "level" ], "hogql_value": "console_logs", + "id": null, "name": "console_logs", "schema_valid": true, "table": "console_logs_log_entries", @@ -813,6 +879,7 @@ ], "fields": null, "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": null, @@ -825,6 +892,7 @@ ], "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -865,6 +933,7 @@ "$page_screen_autocapture_count_up_to" ], "hogql_value": "session", + "id": null, "name": "session", "schema_valid": true, "table": "sessions", @@ -874,6 +943,7 @@ "chain": null, "fields": null, "hogql_value": "start_time", + "id": null, "name": "start_time", "schema_valid": true, "table": null, @@ -883,6 +953,7 @@ "chain": null, "fields": null, "hogql_value": "end_time", + "id": null, "name": "end_time", "schema_valid": true, "table": null, @@ -899,6 +970,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -908,6 +980,7 @@ "chain": null, "fields": null, "hogql_value": "cohort_id", + "id": null, "name": "cohort_id", "schema_valid": true, "table": null, @@ -926,6 +999,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -942,6 +1016,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -951,6 +1026,7 @@ "chain": null, "fields": null, "hogql_value": "cohort_id", + "id": null, "name": "cohort_id", "schema_valid": true, "table": null, @@ -969,6 +1045,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -985,6 +1062,7 @@ "chain": null, "fields": null, "hogql_value": "log_source", + "id": null, "name": "log_source", "schema_valid": true, "table": null, @@ -994,6 +1072,7 @@ "chain": null, "fields": null, "hogql_value": "log_source_id", + "id": null, "name": "log_source_id", "schema_valid": true, "table": null, @@ -1003,6 +1082,7 @@ "chain": null, "fields": null, "hogql_value": "instance_id", + "id": null, "name": "instance_id", "schema_valid": true, "table": null, @@ -1012,6 +1092,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -1021,6 +1102,7 @@ "chain": null, "fields": null, "hogql_value": "message", + "id": null, "name": "message", "schema_valid": true, "table": null, @@ -1030,6 +1112,7 @@ "chain": null, "fields": null, "hogql_value": "level", + "id": null, "name": "level", "schema_valid": true, "table": null, @@ -1046,6 +1129,7 @@ "chain": null, "fields": null, "hogql_value": "id", + "id": null, "name": "id", "schema_valid": true, "table": null, @@ -1055,6 +1139,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -1064,6 +1149,7 @@ "chain": null, "fields": null, "hogql_value": "session_id_v7", + "id": null, "name": "session_id_v7", "schema_valid": true, "table": null, @@ -1073,6 +1159,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -1082,6 +1169,7 @@ "chain": null, "fields": null, "hogql_value": "`$start_timestamp`", + "id": null, "name": "$start_timestamp", "schema_valid": true, "table": null, @@ -1091,6 +1179,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_timestamp`", + "id": null, "name": "$end_timestamp", "schema_valid": true, "table": null, @@ -1100,6 +1189,7 @@ "chain": null, "fields": null, "hogql_value": "`$urls`", + "id": null, "name": "$urls", "schema_valid": true, "table": null, @@ -1109,6 +1199,7 @@ "chain": null, "fields": null, "hogql_value": "`$num_uniq_urls`", + "id": null, "name": "$num_uniq_urls", "schema_valid": true, "table": null, @@ -1118,6 +1209,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_current_url`", + "id": null, "name": "$entry_current_url", "schema_valid": true, "table": null, @@ -1127,6 +1219,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_pathname`", + "id": null, "name": "$entry_pathname", "schema_valid": true, "table": null, @@ -1136,6 +1229,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_current_url`", + "id": null, "name": "$end_current_url", "schema_valid": true, "table": null, @@ -1145,6 +1239,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_pathname`", + "id": null, "name": "$end_pathname", "schema_valid": true, "table": null, @@ -1154,6 +1249,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_source`", + "id": null, "name": "$entry_utm_source", "schema_valid": true, "table": null, @@ -1163,6 +1259,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_campaign`", + "id": null, "name": "$entry_utm_campaign", "schema_valid": true, "table": null, @@ -1172,6 +1269,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_medium`", + "id": null, "name": "$entry_utm_medium", "schema_valid": true, "table": null, @@ -1181,6 +1279,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_term`", + "id": null, "name": "$entry_utm_term", "schema_valid": true, "table": null, @@ -1190,6 +1289,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_content`", + "id": null, "name": "$entry_utm_content", "schema_valid": true, "table": null, @@ -1199,6 +1299,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_referring_domain`", + "id": null, "name": "$entry_referring_domain", "schema_valid": true, "table": null, @@ -1208,6 +1309,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_gclid`", + "id": null, "name": "$entry_gclid", "schema_valid": true, "table": null, @@ -1217,6 +1319,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_gad_source`", + "id": null, "name": "$entry_gad_source", "schema_valid": true, "table": null, @@ -1226,6 +1329,7 @@ "chain": null, "fields": null, "hogql_value": "`$pageview_count`", + "id": null, "name": "$pageview_count", "schema_valid": true, "table": null, @@ -1235,6 +1339,7 @@ "chain": null, "fields": null, "hogql_value": "`$autocapture_count`", + "id": null, "name": "$autocapture_count", "schema_valid": true, "table": null, @@ -1244,6 +1349,7 @@ "chain": null, "fields": null, "hogql_value": "`$screen_count`", + "id": null, "name": "$screen_count", "schema_valid": true, "table": null, @@ -1253,6 +1359,7 @@ "chain": null, "fields": null, "hogql_value": "`$channel_type`", + "id": null, "name": "$channel_type", "schema_valid": true, "table": null, @@ -1262,6 +1369,7 @@ "chain": null, "fields": null, "hogql_value": "`$session_duration`", + "id": null, "name": "$session_duration", "schema_valid": true, "table": null, @@ -1271,6 +1379,7 @@ "chain": null, "fields": null, "hogql_value": "duration", + "id": null, "name": "duration", "schema_valid": true, "table": null, @@ -1280,6 +1389,7 @@ "chain": null, "fields": null, "hogql_value": "`$is_bounce`", + "id": null, "name": "$is_bounce", "schema_valid": true, "table": null, @@ -1289,6 +1399,7 @@ "chain": null, "fields": null, "hogql_value": "`$last_external_click_url`", + "id": null, "name": "$last_external_click_url", "schema_valid": true, "table": null, @@ -1305,6 +1416,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -1314,6 +1426,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -1323,6 +1436,7 @@ "chain": null, "fields": null, "hogql_value": "x", + "id": null, "name": "x", "schema_valid": true, "table": null, @@ -1332,6 +1446,7 @@ "chain": null, "fields": null, "hogql_value": "y", + "id": null, "name": "y", "schema_valid": true, "table": null, @@ -1341,6 +1456,7 @@ "chain": null, "fields": null, "hogql_value": "scale_factor", + "id": null, "name": "scale_factor", "schema_valid": true, "table": null, @@ -1350,6 +1466,7 @@ "chain": null, "fields": null, "hogql_value": "viewport_width", + "id": null, "name": "viewport_width", "schema_valid": true, "table": null, @@ -1359,6 +1476,7 @@ "chain": null, "fields": null, "hogql_value": "viewport_height", + "id": null, "name": "viewport_height", "schema_valid": true, "table": null, @@ -1368,6 +1486,7 @@ "chain": null, "fields": null, "hogql_value": "pointer_target_fixed", + "id": null, "name": "pointer_target_fixed", "schema_valid": true, "table": null, @@ -1377,6 +1496,7 @@ "chain": null, "fields": null, "hogql_value": "current_url", + "id": null, "name": "current_url", "schema_valid": true, "table": null, @@ -1386,6 +1506,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -1395,6 +1516,7 @@ "chain": null, "fields": null, "hogql_value": "type", + "id": null, "name": "type", "schema_valid": true, "table": null, @@ -1417,6 +1539,7 @@ "chain": null, "fields": null, "hogql_value": "uuid", + "id": null, "name": "uuid", "schema_valid": true, "table": null, @@ -1426,6 +1549,7 @@ "chain": null, "fields": null, "hogql_value": "event", + "id": null, "name": "event", "schema_valid": true, "table": null, @@ -1435,6 +1559,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -1444,6 +1569,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -1453,6 +1579,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -1462,6 +1589,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain", + "id": null, "name": "elements_chain", "schema_valid": true, "table": null, @@ -1471,6 +1599,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -1480,6 +1609,7 @@ "chain": null, "fields": null, "hogql_value": "`$session_id`", + "id": null, "name": "$session_id", "schema_valid": true, "table": null, @@ -1489,6 +1619,7 @@ "chain": null, "fields": null, "hogql_value": "`$window_id`", + "id": null, "name": "$window_id", "schema_valid": true, "table": null, @@ -1503,6 +1634,7 @@ "person" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -1516,6 +1648,7 @@ "properties" ], "hogql_value": "poe", + "id": null, "name": "poe", "schema_valid": true, "table": "events", @@ -1529,6 +1662,7 @@ "properties" ], "hogql_value": "goe_0", + "id": null, "name": "goe_0", "schema_valid": true, "table": "events", @@ -1542,6 +1676,7 @@ "properties" ], "hogql_value": "goe_1", + "id": null, "name": "goe_1", "schema_valid": true, "table": "events", @@ -1555,6 +1690,7 @@ "properties" ], "hogql_value": "goe_2", + "id": null, "name": "goe_2", "schema_valid": true, "table": "events", @@ -1568,6 +1704,7 @@ "properties" ], "hogql_value": "goe_3", + "id": null, "name": "goe_3", "schema_valid": true, "table": "events", @@ -1581,6 +1718,7 @@ "properties" ], "hogql_value": "goe_4", + "id": null, "name": "goe_4", "schema_valid": true, "table": "events", @@ -1592,6 +1730,7 @@ ], "fields": null, "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": null, @@ -1601,6 +1740,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -1610,6 +1750,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_0`", + "id": null, "name": "$group_0", "schema_valid": true, "table": null, @@ -1626,6 +1767,7 @@ "properties" ], "hogql_value": "group_0", + "id": null, "name": "group_0", "schema_valid": true, "table": "groups", @@ -1635,6 +1777,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_1`", + "id": null, "name": "$group_1", "schema_valid": true, "table": null, @@ -1651,6 +1794,7 @@ "properties" ], "hogql_value": "group_1", + "id": null, "name": "group_1", "schema_valid": true, "table": "groups", @@ -1660,6 +1804,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_2`", + "id": null, "name": "$group_2", "schema_valid": true, "table": null, @@ -1676,6 +1821,7 @@ "properties" ], "hogql_value": "group_2", + "id": null, "name": "group_2", "schema_valid": true, "table": "groups", @@ -1685,6 +1831,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_3`", + "id": null, "name": "$group_3", "schema_valid": true, "table": null, @@ -1701,6 +1848,7 @@ "properties" ], "hogql_value": "group_3", + "id": null, "name": "group_3", "schema_valid": true, "table": "groups", @@ -1710,6 +1858,7 @@ "chain": null, "fields": null, "hogql_value": "`$group_4`", + "id": null, "name": "$group_4", "schema_valid": true, "table": null, @@ -1726,6 +1875,7 @@ "properties" ], "hogql_value": "group_4", + "id": null, "name": "group_4", "schema_valid": true, "table": "groups", @@ -1766,6 +1916,7 @@ "$page_screen_autocapture_count_up_to" ], "hogql_value": "session", + "id": null, "name": "session", "schema_valid": true, "table": "sessions", @@ -1775,6 +1926,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_href", + "id": null, "name": "elements_chain_href", "schema_valid": true, "table": null, @@ -1784,6 +1936,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_texts", + "id": null, "name": "elements_chain_texts", "schema_valid": true, "table": null, @@ -1793,6 +1946,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_ids", + "id": null, "name": "elements_chain_ids", "schema_valid": true, "table": null, @@ -1802,6 +1956,7 @@ "chain": null, "fields": null, "hogql_value": "elements_chain_elements", + "id": null, "name": "elements_chain_elements", "schema_valid": true, "table": null, @@ -1818,6 +1973,7 @@ "chain": null, "fields": null, "hogql_value": "index", + "id": null, "name": "index", "schema_valid": true, "table": null, @@ -1827,6 +1983,7 @@ "chain": null, "fields": null, "hogql_value": "key", + "id": null, "name": "key", "schema_valid": true, "table": null, @@ -1836,6 +1993,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -1845,6 +2003,7 @@ "chain": null, "fields": null, "hogql_value": "updated_at", + "id": null, "name": "updated_at", "schema_valid": true, "table": null, @@ -1854,6 +2013,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -1870,6 +2030,7 @@ "chain": null, "fields": null, "hogql_value": "id", + "id": null, "name": "id", "schema_valid": true, "table": null, @@ -1879,6 +2040,7 @@ "chain": null, "fields": null, "hogql_value": "created_at", + "id": null, "name": "created_at", "schema_valid": true, "table": null, @@ -1888,6 +2050,7 @@ "chain": null, "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -1897,6 +2060,7 @@ "chain": null, "fields": null, "hogql_value": "is_identified", + "id": null, "name": "is_identified", "schema_valid": true, "table": null, @@ -1910,6 +2074,7 @@ "person_id" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -1919,6 +2084,7 @@ "chain": null, "fields": null, "hogql_value": "`$virt_initial_referring_domain_type`", + "id": null, "name": "$virt_initial_referring_domain_type", "schema_valid": true, "table": null, @@ -1928,6 +2094,7 @@ "chain": null, "fields": null, "hogql_value": "`$virt_initial_channel_type`", + "id": null, "name": "$virt_initial_channel_type", "schema_valid": true, "table": null, @@ -1944,6 +2111,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -1953,6 +2121,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -1971,6 +2140,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -1987,6 +2157,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -1996,6 +2167,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -2005,6 +2177,7 @@ "chain": null, "fields": null, "hogql_value": "first_url", + "id": null, "name": "first_url", "schema_valid": true, "table": null, @@ -2014,6 +2187,7 @@ "chain": null, "fields": null, "hogql_value": "click_count", + "id": null, "name": "click_count", "schema_valid": true, "table": null, @@ -2023,6 +2197,7 @@ "chain": null, "fields": null, "hogql_value": "keypress_count", + "id": null, "name": "keypress_count", "schema_valid": true, "table": null, @@ -2032,6 +2207,7 @@ "chain": null, "fields": null, "hogql_value": "mouse_activity_count", + "id": null, "name": "mouse_activity_count", "schema_valid": true, "table": null, @@ -2041,6 +2217,7 @@ "chain": null, "fields": null, "hogql_value": "active_milliseconds", + "id": null, "name": "active_milliseconds", "schema_valid": true, "table": null, @@ -2050,6 +2227,7 @@ "chain": null, "fields": null, "hogql_value": "console_log_count", + "id": null, "name": "console_log_count", "schema_valid": true, "table": null, @@ -2059,6 +2237,7 @@ "chain": null, "fields": null, "hogql_value": "console_warn_count", + "id": null, "name": "console_warn_count", "schema_valid": true, "table": null, @@ -2068,6 +2247,7 @@ "chain": null, "fields": null, "hogql_value": "console_error_count", + "id": null, "name": "console_error_count", "schema_valid": true, "table": null, @@ -2077,6 +2257,7 @@ "chain": null, "fields": null, "hogql_value": "size", + "id": null, "name": "size", "schema_valid": true, "table": null, @@ -2086,6 +2267,7 @@ "chain": null, "fields": null, "hogql_value": "event_count", + "id": null, "name": "event_count", "schema_valid": true, "table": null, @@ -2095,6 +2277,7 @@ "chain": null, "fields": null, "hogql_value": "message_count", + "id": null, "name": "message_count", "schema_valid": true, "table": null, @@ -2104,6 +2287,7 @@ "chain": null, "fields": null, "hogql_value": "snapshot_source", + "id": null, "name": "snapshot_source", "schema_valid": true, "table": null, @@ -2148,6 +2332,7 @@ "elements_chain_elements" ], "hogql_value": "events", + "id": null, "name": "events", "schema_valid": true, "table": "events", @@ -2160,6 +2345,7 @@ ], "fields": null, "hogql_value": "properties", + "id": null, "name": "properties", "schema_valid": true, "table": null, @@ -2174,6 +2360,7 @@ "person" ], "hogql_value": "pdi", + "id": null, "name": "pdi", "schema_valid": true, "table": "person_distinct_ids", @@ -2191,6 +2378,7 @@ "level" ], "hogql_value": "console_logs", + "id": null, "name": "console_logs", "schema_valid": true, "table": "console_logs_log_entries", @@ -2203,6 +2391,7 @@ ], "fields": null, "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": null, @@ -2215,6 +2404,7 @@ ], "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -2255,6 +2445,7 @@ "$page_screen_autocapture_count_up_to" ], "hogql_value": "session", + "id": null, "name": "session", "schema_valid": true, "table": "sessions", @@ -2264,6 +2455,7 @@ "chain": null, "fields": null, "hogql_value": "start_time", + "id": null, "name": "start_time", "schema_valid": true, "table": null, @@ -2273,6 +2465,7 @@ "chain": null, "fields": null, "hogql_value": "end_time", + "id": null, "name": "end_time", "schema_valid": true, "table": null, @@ -2289,6 +2482,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -2298,6 +2492,7 @@ "chain": null, "fields": null, "hogql_value": "cohort_id", + "id": null, "name": "cohort_id", "schema_valid": true, "table": null, @@ -2316,6 +2511,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -2332,6 +2528,7 @@ "chain": null, "fields": null, "hogql_value": "person_id", + "id": null, "name": "person_id", "schema_valid": true, "table": null, @@ -2341,6 +2538,7 @@ "chain": null, "fields": null, "hogql_value": "cohort_id", + "id": null, "name": "cohort_id", "schema_valid": true, "table": null, @@ -2359,6 +2557,7 @@ "$virt_initial_channel_type" ], "hogql_value": "person", + "id": null, "name": "person", "schema_valid": true, "table": "persons", @@ -2375,6 +2574,7 @@ "chain": null, "fields": null, "hogql_value": "log_source", + "id": null, "name": "log_source", "schema_valid": true, "table": null, @@ -2384,6 +2584,7 @@ "chain": null, "fields": null, "hogql_value": "log_source_id", + "id": null, "name": "log_source_id", "schema_valid": true, "table": null, @@ -2393,6 +2594,7 @@ "chain": null, "fields": null, "hogql_value": "instance_id", + "id": null, "name": "instance_id", "schema_valid": true, "table": null, @@ -2402,6 +2604,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -2411,6 +2614,7 @@ "chain": null, "fields": null, "hogql_value": "message", + "id": null, "name": "message", "schema_valid": true, "table": null, @@ -2420,6 +2624,7 @@ "chain": null, "fields": null, "hogql_value": "level", + "id": null, "name": "level", "schema_valid": true, "table": null, @@ -2436,6 +2641,7 @@ "chain": null, "fields": null, "hogql_value": "id", + "id": null, "name": "id", "schema_valid": true, "table": null, @@ -2445,6 +2651,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -2454,6 +2661,7 @@ "chain": null, "fields": null, "hogql_value": "session_id_v7", + "id": null, "name": "session_id_v7", "schema_valid": true, "table": null, @@ -2463,6 +2671,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -2472,6 +2681,7 @@ "chain": null, "fields": null, "hogql_value": "`$start_timestamp`", + "id": null, "name": "$start_timestamp", "schema_valid": true, "table": null, @@ -2481,6 +2691,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_timestamp`", + "id": null, "name": "$end_timestamp", "schema_valid": true, "table": null, @@ -2490,6 +2701,7 @@ "chain": null, "fields": null, "hogql_value": "`$urls`", + "id": null, "name": "$urls", "schema_valid": true, "table": null, @@ -2499,6 +2711,7 @@ "chain": null, "fields": null, "hogql_value": "`$num_uniq_urls`", + "id": null, "name": "$num_uniq_urls", "schema_valid": true, "table": null, @@ -2508,6 +2721,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_current_url`", + "id": null, "name": "$entry_current_url", "schema_valid": true, "table": null, @@ -2517,6 +2731,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_pathname`", + "id": null, "name": "$entry_pathname", "schema_valid": true, "table": null, @@ -2526,6 +2741,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_current_url`", + "id": null, "name": "$end_current_url", "schema_valid": true, "table": null, @@ -2535,6 +2751,7 @@ "chain": null, "fields": null, "hogql_value": "`$end_pathname`", + "id": null, "name": "$end_pathname", "schema_valid": true, "table": null, @@ -2544,6 +2761,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_source`", + "id": null, "name": "$entry_utm_source", "schema_valid": true, "table": null, @@ -2553,6 +2771,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_campaign`", + "id": null, "name": "$entry_utm_campaign", "schema_valid": true, "table": null, @@ -2562,6 +2781,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_medium`", + "id": null, "name": "$entry_utm_medium", "schema_valid": true, "table": null, @@ -2571,6 +2791,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_term`", + "id": null, "name": "$entry_utm_term", "schema_valid": true, "table": null, @@ -2580,6 +2801,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_utm_content`", + "id": null, "name": "$entry_utm_content", "schema_valid": true, "table": null, @@ -2589,6 +2811,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_referring_domain`", + "id": null, "name": "$entry_referring_domain", "schema_valid": true, "table": null, @@ -2598,6 +2821,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_gclid`", + "id": null, "name": "$entry_gclid", "schema_valid": true, "table": null, @@ -2607,6 +2831,7 @@ "chain": null, "fields": null, "hogql_value": "`$entry_gad_source`", + "id": null, "name": "$entry_gad_source", "schema_valid": true, "table": null, @@ -2616,6 +2841,7 @@ "chain": null, "fields": null, "hogql_value": "`$pageview_count`", + "id": null, "name": "$pageview_count", "schema_valid": true, "table": null, @@ -2625,6 +2851,7 @@ "chain": null, "fields": null, "hogql_value": "`$autocapture_count`", + "id": null, "name": "$autocapture_count", "schema_valid": true, "table": null, @@ -2634,6 +2861,7 @@ "chain": null, "fields": null, "hogql_value": "`$screen_count`", + "id": null, "name": "$screen_count", "schema_valid": true, "table": null, @@ -2643,6 +2871,7 @@ "chain": null, "fields": null, "hogql_value": "`$channel_type`", + "id": null, "name": "$channel_type", "schema_valid": true, "table": null, @@ -2652,6 +2881,7 @@ "chain": null, "fields": null, "hogql_value": "`$session_duration`", + "id": null, "name": "$session_duration", "schema_valid": true, "table": null, @@ -2661,6 +2891,7 @@ "chain": null, "fields": null, "hogql_value": "duration", + "id": null, "name": "duration", "schema_valid": true, "table": null, @@ -2670,6 +2901,7 @@ "chain": null, "fields": null, "hogql_value": "`$is_bounce`", + "id": null, "name": "$is_bounce", "schema_valid": true, "table": null, @@ -2679,6 +2911,7 @@ "chain": null, "fields": null, "hogql_value": "`$last_external_click_url`", + "id": null, "name": "$last_external_click_url", "schema_valid": true, "table": null, @@ -2695,6 +2928,7 @@ "chain": null, "fields": null, "hogql_value": "session_id", + "id": null, "name": "session_id", "schema_valid": true, "table": null, @@ -2704,6 +2938,7 @@ "chain": null, "fields": null, "hogql_value": "distinct_id", + "id": null, "name": "distinct_id", "schema_valid": true, "table": null, @@ -2713,6 +2948,7 @@ "chain": null, "fields": null, "hogql_value": "x", + "id": null, "name": "x", "schema_valid": true, "table": null, @@ -2722,6 +2958,7 @@ "chain": null, "fields": null, "hogql_value": "y", + "id": null, "name": "y", "schema_valid": true, "table": null, @@ -2731,6 +2968,7 @@ "chain": null, "fields": null, "hogql_value": "scale_factor", + "id": null, "name": "scale_factor", "schema_valid": true, "table": null, @@ -2740,6 +2978,7 @@ "chain": null, "fields": null, "hogql_value": "viewport_width", + "id": null, "name": "viewport_width", "schema_valid": true, "table": null, @@ -2749,6 +2988,7 @@ "chain": null, "fields": null, "hogql_value": "viewport_height", + "id": null, "name": "viewport_height", "schema_valid": true, "table": null, @@ -2758,6 +2998,7 @@ "chain": null, "fields": null, "hogql_value": "pointer_target_fixed", + "id": null, "name": "pointer_target_fixed", "schema_valid": true, "table": null, @@ -2767,6 +3008,7 @@ "chain": null, "fields": null, "hogql_value": "current_url", + "id": null, "name": "current_url", "schema_valid": true, "table": null, @@ -2776,6 +3018,7 @@ "chain": null, "fields": null, "hogql_value": "timestamp", + "id": null, "name": "timestamp", "schema_valid": true, "table": null, @@ -2785,6 +3028,7 @@ "chain": null, "fields": null, "hogql_value": "type", + "id": null, "name": "type", "schema_valid": true, "table": null, diff --git a/posthog/hogql/database/test/tables.py b/posthog/hogql/database/test/tables.py index f3328091791b7..39e651ee3f82d 100644 --- a/posthog/hogql/database/test/tables.py +++ b/posthog/hogql/database/test/tables.py @@ -26,6 +26,7 @@ def create_aapl_stock_s3_table(name="aapl_stock") -> S3Table: def create_aapl_stock_table_view() -> SavedQuery: return SavedQuery( + id="aapl_stock_view", name="aapl_stock_view", query="SELECT * FROM aapl_stock", fields={ @@ -39,6 +40,7 @@ def create_aapl_stock_table_view() -> SavedQuery: def create_nested_aapl_stock_view() -> SavedQuery: return SavedQuery( + id="aapl_stock_nested_view", name="aapl_stock_nested_view", query="SELECT * FROM aapl_stock_view", fields={ @@ -52,6 +54,7 @@ def create_nested_aapl_stock_view() -> SavedQuery: def create_aapl_stock_table_self_referencing() -> SavedQuery: return SavedQuery( + id="aapl_stock_self", name="aapl_stock_self", query="SELECT * FROM aapl_stock_self", fields={ diff --git a/posthog/schema.py b/posthog/schema.py index aaf418fae271b..4de97ea0c1f36 100644 --- a/posthog/schema.py +++ b/posthog/schema.py @@ -2376,6 +2376,7 @@ class DatabaseSchemaField(BaseModel): chain: Optional[list[Union[str, int]]] = None fields: Optional[list[str]] = None hogql_value: str + id: Optional[str] = None name: str schema_valid: bool table: Optional[str] = None diff --git a/posthog/warehouse/api/saved_query.py b/posthog/warehouse/api/saved_query.py index 0c233001af365..3e81117190bbd 100644 --- a/posthog/warehouse/api/saved_query.py +++ b/posthog/warehouse/api/saved_query.py @@ -15,6 +15,7 @@ from posthog.hogql.parser import parse_select from posthog.hogql.printer import print_ast from posthog.warehouse.models import DataWarehouseJoin, DataWarehouseModelPath, DataWarehouseSavedQuery +import uuid logger = structlog.get_logger(__name__) @@ -171,14 +172,14 @@ def ancestors(self, request: request.Request, *args, **kwargs) -> response.Respo if not paths: return response.Response({"ancestors": []}) - ancestors: set[str] = set() + ancestors: set[str | uuid.UUID] = set() for model_path in paths: if up_to_level is None: start = 0 else: start = (int(up_to_level) * -1) - 1 - ancestors = ancestors.union(model_path.path[start:-1]) + ancestors = ancestors.union(map(try_convert_to_uuid, model_path.path[start:-1])) return response.Response({"ancestors": ancestors}) @@ -201,7 +202,7 @@ def descendants(self, request: request.Request, *args, **kwargs) -> response.Res if not paths: return response.Response({"descendants": []}) - descendants: set[str] = set() + descendants: set[str | uuid.UUID] = set() for model_path in paths: start = model_path.path.index(saved_query_id) + 1 if up_to_level is None: @@ -209,6 +210,13 @@ def descendants(self, request: request.Request, *args, **kwargs) -> response.Res else: end = start + up_to_level - descendants = descendants.union(model_path.path[start:end]) + descendants = descendants.union(map(try_convert_to_uuid, model_path.path[start:end])) return response.Response({"descendants": descendants}) + + +def try_convert_to_uuid(s: str) -> uuid.UUID | str: + try: + return str(uuid.UUID(s)) + except ValueError: + return s diff --git a/posthog/warehouse/api/test/test_saved_query.py b/posthog/warehouse/api/test/test_saved_query.py index a0abdf02c5e98..e739a1d0b5b97 100644 --- a/posthog/warehouse/api/test/test_saved_query.py +++ b/posthog/warehouse/api/test/test_saved_query.py @@ -231,7 +231,7 @@ def test_ancestors(self): self.assertEqual(response.status_code, 200, response.content) child_ancestors = response.json()["ancestors"] child_ancestors.sort() - self.assertEqual(child_ancestors, sorted([uuid.UUID(saved_query_parent_id).hex, "events", "persons"])) + self.assertEqual(child_ancestors, sorted([saved_query_parent_id, "events", "persons"])) response = self.client.post( f"/api/projects/{self.team.id}/warehouse_saved_queries/{saved_query_child_id}/ancestors", {"level": 1} @@ -240,7 +240,7 @@ def test_ancestors(self): self.assertEqual(response.status_code, 200, response.content) child_ancestors_level_1 = response.json()["ancestors"] child_ancestors_level_1.sort() - self.assertEqual(child_ancestors_level_1, [uuid.UUID(saved_query_parent_id).hex]) + self.assertEqual(child_ancestors_level_1, [saved_query_parent_id]) response = self.client.post( f"/api/projects/{self.team.id}/warehouse_saved_queries/{saved_query_child_id}/ancestors", {"level": 2} @@ -248,7 +248,7 @@ def test_ancestors(self): self.assertEqual(response.status_code, 200, response.content) child_ancestors_level_2 = response.json()["ancestors"] child_ancestors_level_2.sort() - self.assertEqual(child_ancestors_level_2, sorted([uuid.UUID(saved_query_parent_id).hex, "events", "persons"])) + self.assertEqual(child_ancestors_level_2, sorted([saved_query_parent_id, "events", "persons"])) response = self.client.post( f"/api/projects/{self.team.id}/warehouse_saved_queries/{saved_query_child_id}/ancestors", {"level": 10} @@ -256,7 +256,7 @@ def test_ancestors(self): self.assertEqual(response.status_code, 200, response.content) child_ancestors_level_10 = response.json()["ancestors"] child_ancestors_level_10.sort() - self.assertEqual(child_ancestors_level_2, sorted([uuid.UUID(saved_query_parent_id).hex, "events", "persons"])) + self.assertEqual(child_ancestors_level_10, sorted([saved_query_parent_id, "events", "persons"])) def test_descendants(self): query = """\ @@ -316,7 +316,7 @@ def test_descendants(self): parent_descendants = response.json()["descendants"] self.assertEqual( sorted(parent_descendants), - sorted([uuid.UUID(saved_query_child_id).hex, uuid.UUID(saved_query_grand_child_id).hex]), + sorted([saved_query_child_id, saved_query_grand_child_id]), ) response = self.client.post( @@ -327,7 +327,7 @@ def test_descendants(self): parent_descendants_level_1 = response.json()["descendants"] self.assertEqual( parent_descendants_level_1, - [uuid.UUID(saved_query_child_id).hex], + [saved_query_child_id], ) response = self.client.post( @@ -338,7 +338,7 @@ def test_descendants(self): parent_descendants_level_2 = response.json()["descendants"] self.assertEqual( sorted(parent_descendants_level_2), - sorted([uuid.UUID(saved_query_child_id).hex, uuid.UUID(saved_query_grand_child_id).hex]), + sorted([saved_query_child_id, saved_query_grand_child_id]), ) response = self.client.post( @@ -347,7 +347,7 @@ def test_descendants(self): self.assertEqual(response.status_code, 200, response.content) child_ancestors = response.json()["descendants"] - self.assertEqual(child_ancestors, [uuid.UUID(saved_query_grand_child_id).hex]) + self.assertEqual(child_ancestors, [saved_query_grand_child_id]) response = self.client.post( f"/api/projects/{self.team.id}/warehouse_saved_queries/{saved_query_grand_child_id}/descendants", diff --git a/posthog/warehouse/models/datawarehouse_saved_query.py b/posthog/warehouse/models/datawarehouse_saved_query.py index e3cccac60488b..ae24533754d96 100644 --- a/posthog/warehouse/models/datawarehouse_saved_query.py +++ b/posthog/warehouse/models/datawarehouse_saved_query.py @@ -150,6 +150,7 @@ def hogql_definition(self, modifiers: Optional[HogQLQueryModifiers] = None) -> S fields[column] = hogql_type(name=column) return SavedQuery( + id=str(self.id), name=self.name, query=self.query["query"], fields=fields, From e391da029c96341711199032bef6cc7cdb8459a8 Mon Sep 17 00:00:00 2001 From: Anirudh Pillai Date: Mon, 9 Sep 2024 08:53:36 +0100 Subject: [PATCH 30/66] feat: shared dashboards allow viewer to preview filter change (#24845) --- frontend/src/scenes/dashboard/DashboardEditBar.tsx | 6 +----- frontend/src/scenes/dashboard/DashboardHeader.tsx | 8 +++++++- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/frontend/src/scenes/dashboard/DashboardEditBar.tsx b/frontend/src/scenes/dashboard/DashboardEditBar.tsx index 2fdf7c1c8767e..e946206dac4b7 100644 --- a/frontend/src/scenes/dashboard/DashboardEditBar.tsx +++ b/frontend/src/scenes/dashboard/DashboardEditBar.tsx @@ -9,12 +9,10 @@ import { groupsModel } from '~/models/groupsModel' import { DashboardMode } from '~/types' export function DashboardEditBar(): JSX.Element { - const { dashboard, canEditDashboard, temporaryFilters, dashboardMode } = useValues(dashboardLogic) + const { dashboard, temporaryFilters, dashboardMode } = useValues(dashboardLogic) const { setDates, setProperties, setDashboardMode } = useActions(dashboardLogic) const { groupsTaxonomicTypes } = useValues(groupsModel) - const disabledReason = !canEditDashboard ? "You don't have permission to edit this dashboard" : undefined - return (
) } + +export const WebExternalClicksTile = ({ + query, + insightProps, +}: { + query: DataTableNode + insightProps: InsightLogicProps +}): JSX.Element | null => { + const { shouldStripQueryParams } = useValues(webAnalyticsLogic) + const { setShouldStripQueryParams } = useActions(webAnalyticsLogic) + return ( +
+
+
+ +
+
+ +
+ ) +} + export const WebQuery = ({ query, showIntervalSelect, @@ -530,6 +562,9 @@ export const WebQuery = ({ /> ) } + if (query.kind === NodeKind.DataTableNode && query.source.kind === NodeKind.WebExternalClicksTableQuery) { + return + } if (query.kind === NodeKind.InsightVizNode) { return } else if (query.kind === NodeKind.DataTableNode && query.source.kind === NodeKind.WebGoalsQuery) { diff --git a/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx b/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx index 69f5f27680c29..18977f12d9f7d 100644 --- a/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx +++ b/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx @@ -246,6 +246,9 @@ export const webAnalyticsLogic = kea([ setShouldFilterTestAccounts: (shouldFilterTestAccounts: boolean) => ({ shouldFilterTestAccounts, }), + setShouldStripQueryParams: (shouldStripQueryParams: boolean) => ({ + shouldStripQueryParams, + }), setStateFromUrl: (state: { filters: WebAnalyticsPropertyFilters dateFrom: string | null @@ -457,6 +460,13 @@ export const webAnalyticsLogic = kea([ setShouldFilterTestAccounts: (_, { shouldFilterTestAccounts }) => shouldFilterTestAccounts, }, ], + shouldStripQueryParams: [ + false as boolean, + { persist: true }, + { + setShouldStripQueryParams: (_, { shouldStripQueryParams }) => shouldStripQueryParams, + }, + ], }), selectors(({ actions, values }) => ({ graphsTab: [(s) => [s._graphsTab], (graphsTab: string | null) => graphsTab || GraphsTab.UNIQUE_USERS], @@ -486,6 +496,7 @@ export const webAnalyticsLogic = kea([ () => values.isGreaterThanMd, () => values.shouldShowGeographyTile, () => values.featureFlags, + () => values.shouldStripQueryParams, ], ( webAnalyticsFilters, @@ -497,7 +508,8 @@ export const webAnalyticsLogic = kea([ _statusCheck, isGreaterThanMd, shouldShowGeographyTile, - featureFlags + featureFlags, + shouldStripQueryParams ): WebDashboardTile[] => { const dateRange = { date_from: dateFrom, @@ -741,20 +753,19 @@ export const webAnalyticsLogic = kea([ featureFlags[FEATURE_FLAGS.WEB_ANALYTICS_LAST_CLICK] ? { id: PathTab.EXIT_CLICK, - title: 'Exit clicks', - linkText: 'Exit clicks', + title: 'Outbound link clicks', + linkText: 'Outbound clicks', query: { full: true, kind: NodeKind.DataTableNode, source: { - kind: NodeKind.WebStatsTableQuery, + kind: NodeKind.WebExternalClicksTableQuery, properties: webAnalyticsFilters, - breakdownBy: WebStatsBreakdown.ExitClick, dateRange, - includeScrollDepth: false, sampling, limit: 10, filterTestAccounts, + stripQueryParams: shouldStripQueryParams, }, embedded: false, }, diff --git a/posthog/hogql_queries/query_runner.py b/posthog/hogql_queries/query_runner.py index ff630f05e17ce..fb1749abde18a 100644 --- a/posthog/hogql_queries/query_runner.py +++ b/posthog/hogql_queries/query_runner.py @@ -330,6 +330,17 @@ def get_query_runner( limit_context=limit_context, ) + if kind == "WebExternalClicksTableQuery": + from .web_analytics.external_clicks import WebExternalClicksTableQueryRunner + + return WebExternalClicksTableQueryRunner( + query=query, + team=team, + timings=timings, + modifiers=modifiers, + limit_context=limit_context, + ) + if kind == "SessionAttributionExplorerQuery": from .web_analytics.session_attribution_explorer_query_runner import SessionAttributionExplorerQueryRunner diff --git a/posthog/hogql_queries/web_analytics/external_clicks.py b/posthog/hogql_queries/web_analytics/external_clicks.py new file mode 100644 index 0000000000000..5d603ab16deca --- /dev/null +++ b/posthog/hogql_queries/web_analytics/external_clicks.py @@ -0,0 +1,119 @@ +from posthog.hogql import ast +from posthog.hogql.constants import LimitContext +from posthog.hogql.parser import parse_select +from posthog.hogql.property import ( + property_to_expr, +) +from posthog.hogql_queries.insights.paginators import HogQLHasMorePaginator +from posthog.hogql_queries.web_analytics.web_analytics_query_runner import ( + WebAnalyticsQueryRunner, + map_columns, +) +from posthog.schema import ( + CachedWebStatsTableQueryResponse, + WebStatsTableQueryResponse, + WebExternalClicksTableQuery, + WebExternalClicksTableQueryResponse, +) + + +class WebExternalClicksTableQueryRunner(WebAnalyticsQueryRunner): + query: WebExternalClicksTableQuery + response: WebExternalClicksTableQueryResponse + cached_response: CachedWebStatsTableQueryResponse + paginator: HogQLHasMorePaginator + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.paginator = HogQLHasMorePaginator.from_limit_context( + limit_context=LimitContext.QUERY, limit=self.query.limit if self.query.limit else None + ) + + def to_query(self) -> ast.SelectQuery: + if self.query.stripQueryParams: + url_expr: ast.Expr = ast.Call( + name="cutQueryStringAndFragment", + args=[ast.Field(chain=["properties", "$external_click_url"])], + ) + else: + url_expr = ast.Field(chain=["properties", "$external_click_url"]) + + with self.timings.measure("stats_table_query"): + query = parse_select( + """ +SELECT + url AS "context.columns.url", + uniq(filtered_person_id) AS "context.columns.visitors", + sum(filtered_click_count) AS "context.columns.clicks" +FROM ( + SELECT + any(person_id) AS filtered_person_id, + count() AS filtered_click_count, + {url_expr} AS url + FROM events + WHERE and( + timestamp >= {date_from}, + timestamp < {date_to}, + events.event == '$autocapture', + events.properties.$event_type == 'click', + url IS NOT NULL, + url != '', + {all_properties} + ) + GROUP BY events.`$session_id`, url +) +GROUP BY "context.columns.url" +ORDER BY "context.columns.visitors" DESC, +"context.columns.url" ASC +""", + timings=self.timings, + placeholders={ + "url_expr": url_expr, + "all_properties": self._all_properties(), + "date_from": self._date_from(), + "date_to": self._date_to(), + }, + ) + assert isinstance(query, ast.SelectQuery) + return query + + def _all_properties(self) -> ast.Expr: + properties = self.query.properties + self._test_account_filters + return property_to_expr(properties, team=self.team) + + def _date_to(self) -> ast.Expr: + return self.query_date_range.date_to_as_hogql() + + def _date_from(self) -> ast.Expr: + return self.query_date_range.date_from_as_hogql() + + def calculate(self): + query = self.to_query() + response = self.paginator.execute_hogql_query( + query_type="stats_table_query", + query=query, + team=self.team, + timings=self.timings, + modifiers=self.modifiers, + ) + results = self.paginator.results + + assert results is not None + + results_mapped = map_columns( + results, + { + 1: self._unsample, # views + 2: self._unsample, # visitors + }, + ) + + return WebStatsTableQueryResponse( + columns=response.columns, + results=results_mapped, + timings=response.timings, + types=response.types, + hogql=response.hogql, + modifiers=self.modifiers, + **self.paginator.response_params(), + ) diff --git a/posthog/hogql_queries/web_analytics/test/test_external_clicks_table.py b/posthog/hogql_queries/web_analytics/test/test_external_clicks_table.py new file mode 100644 index 0000000000000..19258264e0aed --- /dev/null +++ b/posthog/hogql_queries/web_analytics/test/test_external_clicks_table.py @@ -0,0 +1,211 @@ +from typing import Optional + +from freezegun import freeze_time + +from posthog.hogql_queries.web_analytics.external_clicks import WebExternalClicksTableQueryRunner +from posthog.models.utils import uuid7 +from posthog.schema import ( + DateRange, + SessionTableVersion, + HogQLQueryModifiers, + WebExternalClicksTableQuery, +) +from posthog.test.base import ( + APIBaseTest, + ClickhouseTestMixin, + _create_event, + _create_person, +) + + +class TestExternalClicksTableQueryRunner(ClickhouseTestMixin, APIBaseTest): + def _create_events(self, data, event="$autocapture"): + person_result = [] + for id, timestamps in data: + with freeze_time(timestamps[0][0]): + person_result.append( + _create_person( + team_id=self.team.pk, + distinct_ids=[id], + properties={ + "name": id, + **({"email": "test@posthog.com"} if id == "test" else {}), + }, + ) + ) + for timestamp, session_id, pathname, click in timestamps: + _create_event( + team=self.team, + event=event, + distinct_id=id, + timestamp=timestamp, + properties={ + "$session_id": session_id, + "$pathname": pathname, + "$event_type": "click", + "$external_click_url": click, + }, + elements_chain=f'a:href="{click}"', + ) + return person_result + + def _run_external_clicks_table_query( + self, + date_from, + date_to, + limit=None, + properties=None, + session_table_version: SessionTableVersion = SessionTableVersion.V2, + filter_test_accounts: Optional[bool] = False, + strip_query_params: Optional[bool] = False, + ): + modifiers = HogQLQueryModifiers(sessionTableVersion=session_table_version) + query = WebExternalClicksTableQuery( + dateRange=DateRange(date_from=date_from, date_to=date_to), + properties=properties or [], + limit=limit, + filterTestAccounts=filter_test_accounts, + stripQueryParams=strip_query_params, + ) + runner = WebExternalClicksTableQueryRunner(team=self.team, query=query, modifiers=modifiers) + return runner.calculate() + + def test_no_crash_when_no_data(self): + results = self._run_external_clicks_table_query("2023-12-08", "2023-12-15").results + self.assertEqual([], results) + + def test_increase_in_users( + self, + ): + s1a = str(uuid7("2023-12-02")) + s1b = str(uuid7("2023-12-13")) + s2 = str(uuid7("2023-12-10")) + self._create_events( + [ + ( + "p1", + [ + ("2023-12-02", s1a, "/", "https://www.example.com/"), + ("2023-12-03", s1a, "/login", "https://www.example.com/login"), + ("2023-12-13", s1b, "/docs", "https://www.example.com/docs"), + ], + ), + ("p2", [("2023-12-10", s2, "/", "https://www.example.com/")]), + ] + ) + + results = self._run_external_clicks_table_query("2023-12-01", "2023-12-11").results + + self.assertEqual( + [ + ["https://www.example.com/", 2, 2], + ["https://www.example.com/login", 1, 1], + ], + results, + ) + + def test_all_time(self): + s1a = str(uuid7("2023-12-02")) + s1b = str(uuid7("2023-12-13")) + s2 = str(uuid7("2023-12-10")) + self._create_events( + [ + ( + "p1", + [ + ("2023-12-02", s1a, "/", "https://www.example.com/"), + ("2023-12-03", s1a, "/login", "https://www.example.com/login"), + ("2023-12-13", s1b, "/docs", "https://www.example.com/docs"), + ], + ), + ("p2", [("2023-12-10", s2, "/", "https://www.example.com/")]), + ] + ) + + results = self._run_external_clicks_table_query("all", "2023-12-15").results + + self.assertEqual( + [ + ["https://www.example.com/", 2, 2], + ["https://www.example.com/docs", 1, 1], + ["https://www.example.com/login", 1, 1], + ], + results, + ) + + def test_filter_test_accounts(self): + s1 = str(uuid7("2023-12-02")) + # Create 1 test account + self._create_events( + [ + ( + "test", + [ + ("2023-12-02", s1, "/", "https://www.example.com/"), + ("2023-12-03", s1, "/login", "https://www.example.com/login"), + ], + ) + ] + ) + + results = self._run_external_clicks_table_query("2023-12-01", "2023-12-03", filter_test_accounts=True).results + + self.assertEqual( + [], + results, + ) + + def test_dont_filter_test_accounts(self): + s1 = str(uuid7("2023-12-02")) + # Create 1 test account + self._create_events( + [ + ( + "test", + [ + ("2023-12-02", s1, "/", "https://www.example.com/"), + ("2023-12-03", s1, "/login", "https://www.example.com/login"), + ], + ) + ] + ) + + results = self._run_external_clicks_table_query("2023-12-01", "2023-12-03", filter_test_accounts=False).results + + self.assertEqual( + [["https://www.example.com/", 1, 1], ["https://www.example.com/login", 1, 1]], + results, + ) + + def test_strip_query_params(self): + s1 = str(uuid7("2023-12-02")) + # Create 1 test account + self._create_events( + [ + ( + "test", + [ + ("2023-12-02", s1, "/login", "https://www.example.com/login?test=1#foo"), + ("2023-12-03", s1, "/login", "https://www.example.com/login#bar"), + ], + ) + ] + ) + + results_strip = self._run_external_clicks_table_query( + "2023-12-01", "2023-12-03", filter_test_accounts=False, strip_query_params=True + ).results + + self.assertEqual( + [["https://www.example.com/login", 1, 2]], + results_strip, + ) + + results_no_strip = self._run_external_clicks_table_query( + "2023-12-01", "2023-12-03", filter_test_accounts=False, strip_query_params=False + ).results + + self.assertEqual( + [["https://www.example.com/login#bar", 1, 1], ["https://www.example.com/login?test=1#foo", 1, 1]], + results_no_strip, + ) diff --git a/posthog/hogql_queries/web_analytics/web_analytics_query_runner.py b/posthog/hogql_queries/web_analytics/web_analytics_query_runner.py index 7f0f2790fd5b2..d3e2271e6a3ed 100644 --- a/posthog/hogql_queries/web_analytics/web_analytics_query_runner.py +++ b/posthog/hogql_queries/web_analytics/web_analytics_query_runner.py @@ -25,10 +25,13 @@ SamplingRate, SessionPropertyFilter, WebGoalsQuery, + WebExternalClicksTableQuery, ) from posthog.utils import generate_cache_key, get_safe_cache -WebQueryNode = Union[WebOverviewQuery, WebTopClicksQuery, WebStatsTableQuery, WebGoalsQuery] +WebQueryNode = Union[ + WebOverviewQuery, WebTopClicksQuery, WebStatsTableQuery, WebGoalsQuery, WebExternalClicksTableQuery +] class WebAnalyticsQueryRunner(QueryRunner, ABC): diff --git a/posthog/schema.py b/posthog/schema.py index ac7f2681b48a6..69b0e6870f77c 100644 --- a/posthog/schema.py +++ b/posthog/schema.py @@ -834,6 +834,7 @@ class NodeKind(StrEnum): WEB_OVERVIEW_QUERY = "WebOverviewQuery" WEB_TOP_CLICKS_QUERY = "WebTopClicksQuery" WEB_STATS_TABLE_QUERY = "WebStatsTableQuery" + WEB_EXTERNAL_CLICKS_TABLE_QUERY = "WebExternalClicksTableQuery" WEB_GOALS_QUERY = "WebGoalsQuery" DATABASE_SCHEMA_QUERY = "DatabaseSchemaQuery" @@ -979,7 +980,7 @@ class QueryResponseAlternative7(BaseModel): warnings: list[HogQLNotice] -class QueryResponseAlternative24(BaseModel): +class QueryResponseAlternative26(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -987,7 +988,7 @@ class QueryResponseAlternative24(BaseModel): results: dict[str, ExperimentVariantTrendResult] -class QueryResponseAlternative25(BaseModel): +class QueryResponseAlternative27(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -1424,6 +1425,33 @@ class Sampling(BaseModel): forceSamplingRate: Optional[SamplingRate] = None +class WebExternalClicksTableQueryResponse(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + columns: Optional[list] = None + error: Optional[str] = Field( + default=None, + description="Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + ) + hasMore: Optional[bool] = None + hogql: Optional[str] = Field(default=None, description="Generated HogQL query.") + limit: Optional[int] = None + modifiers: Optional[HogQLQueryModifiers] = Field( + default=None, description="Modifiers used when performing the query" + ) + offset: Optional[int] = None + query_status: Optional[QueryStatus] = Field( + default=None, description="Query status indicates whether next to the provided data, a query is still running." + ) + results: list + samplingRate: Optional[SamplingRate] = None + timings: Optional[list[QueryTiming]] = Field( + default=None, description="Measured timings for different parts of the query generation process" + ) + types: Optional[list] = None + + class WebGoalsQueryResponse(BaseModel): model_config = ConfigDict( extra="forbid", @@ -2004,6 +2032,42 @@ class CachedTrendsQueryResponse(BaseModel): ) +class CachedWebExternalClicksTableQueryResponse(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + cache_key: str + cache_target_age: Optional[AwareDatetime] = None + calculation_trigger: Optional[str] = Field( + default=None, description="What triggered the calculation of the query, leave empty if user/immediate" + ) + columns: Optional[list] = None + error: Optional[str] = Field( + default=None, + description="Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + ) + hasMore: Optional[bool] = None + hogql: Optional[str] = Field(default=None, description="Generated HogQL query.") + is_cached: bool + last_refresh: AwareDatetime + limit: Optional[int] = None + modifiers: Optional[HogQLQueryModifiers] = Field( + default=None, description="Modifiers used when performing the query" + ) + next_allowed_client_refresh: AwareDatetime + offset: Optional[int] = None + query_status: Optional[QueryStatus] = Field( + default=None, description="Query status indicates whether next to the provided data, a query is still running." + ) + results: list + samplingRate: Optional[SamplingRate] = None + timezone: str + timings: Optional[list[QueryTiming]] = Field( + default=None, description="Measured timings for different parts of the query generation process" + ) + types: Optional[list] = None + + class CachedWebGoalsQueryResponse(BaseModel): model_config = ConfigDict( extra="forbid", @@ -2277,7 +2341,7 @@ class Response4(BaseModel): types: Optional[list] = None -class Response5(BaseModel): +class Response6(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -2301,7 +2365,7 @@ class Response5(BaseModel): types: Optional[list] = None -class Response6(BaseModel): +class Response7(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -2328,7 +2392,7 @@ class Response6(BaseModel): types: Optional[list] = None -class Response7(BaseModel): +class Response8(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -2354,7 +2418,7 @@ class Response7(BaseModel): types: Optional[list] = None -class Response8(BaseModel): +class Response9(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -2379,7 +2443,7 @@ class Response8(BaseModel): ) -class Response9(BaseModel): +class Response10(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -2387,7 +2451,7 @@ class Response9(BaseModel): results: dict[str, ExperimentVariantTrendResult] -class Response10(BaseModel): +class Response11(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3027,7 +3091,7 @@ class QueryResponseAlternative10(BaseModel): types: Optional[list] = None -class QueryResponseAlternative11(BaseModel): +class QueryResponseAlternative12(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3051,7 +3115,7 @@ class QueryResponseAlternative11(BaseModel): types: Optional[list] = None -class QueryResponseAlternative12(BaseModel): +class QueryResponseAlternative13(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3078,7 +3142,7 @@ class QueryResponseAlternative12(BaseModel): types: Optional[list] = None -class QueryResponseAlternative13(BaseModel): +class QueryResponseAlternative14(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3104,7 +3168,7 @@ class QueryResponseAlternative13(BaseModel): types: Optional[list] = None -class QueryResponseAlternative14(BaseModel): +class QueryResponseAlternative15(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3129,7 +3193,7 @@ class QueryResponseAlternative14(BaseModel): ) -class QueryResponseAlternative15(BaseModel): +class QueryResponseAlternative16(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3155,7 +3219,7 @@ class QueryResponseAlternative15(BaseModel): types: list[str] -class QueryResponseAlternative16(BaseModel): +class QueryResponseAlternative17(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3182,7 +3246,7 @@ class QueryResponseAlternative16(BaseModel): types: list[str] -class QueryResponseAlternative17(BaseModel): +class QueryResponseAlternative18(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3212,7 +3276,7 @@ class QueryResponseAlternative17(BaseModel): types: Optional[list] = Field(default=None, description="Types of returned columns") -class QueryResponseAlternative18(BaseModel): +class QueryResponseAlternative19(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3236,7 +3300,7 @@ class QueryResponseAlternative18(BaseModel): ) -class QueryResponseAlternative19(BaseModel): +class QueryResponseAlternative20(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3263,7 +3327,7 @@ class QueryResponseAlternative19(BaseModel): types: Optional[list] = None -class QueryResponseAlternative20(BaseModel): +class QueryResponseAlternative22(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3287,7 +3351,7 @@ class QueryResponseAlternative20(BaseModel): types: Optional[list] = None -class QueryResponseAlternative21(BaseModel): +class QueryResponseAlternative23(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3314,7 +3378,7 @@ class QueryResponseAlternative21(BaseModel): types: Optional[list] = None -class QueryResponseAlternative22(BaseModel): +class QueryResponseAlternative24(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3340,7 +3404,7 @@ class QueryResponseAlternative22(BaseModel): types: Optional[list] = None -class QueryResponseAlternative23(BaseModel): +class QueryResponseAlternative25(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3365,7 +3429,7 @@ class QueryResponseAlternative23(BaseModel): ) -class QueryResponseAlternative26(BaseModel): +class QueryResponseAlternative28(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3387,7 +3451,7 @@ class QueryResponseAlternative26(BaseModel): ) -class QueryResponseAlternative27(BaseModel): +class QueryResponseAlternative29(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3409,7 +3473,7 @@ class QueryResponseAlternative27(BaseModel): ) -class QueryResponseAlternative29(BaseModel): +class QueryResponseAlternative31(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3430,7 +3494,7 @@ class QueryResponseAlternative29(BaseModel): ) -class QueryResponseAlternative32(BaseModel): +class QueryResponseAlternative34(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3629,6 +3693,24 @@ class TableSettings(BaseModel): columns: Optional[list[ChartAxis]] = None +class WebExternalClicksTableQuery(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + dateRange: Optional[DateRange] = None + filterTestAccounts: Optional[bool] = None + kind: Literal["WebExternalClicksTableQuery"] = "WebExternalClicksTableQuery" + limit: Optional[int] = None + modifiers: Optional[HogQLQueryModifiers] = Field( + default=None, description="Modifiers used when performing the query" + ) + properties: list[Union[EventPropertyFilter, PersonPropertyFilter, SessionPropertyFilter]] + response: Optional[WebExternalClicksTableQueryResponse] = None + sampling: Optional[Sampling] = None + stripQueryParams: Optional[bool] = None + useSessionsTable: Optional[bool] = None + + class WebGoalsQuery(BaseModel): model_config = ConfigDict( extra="forbid", @@ -4429,7 +4511,7 @@ class PropertyGroupFilterValue(BaseModel): ] -class QueryResponseAlternative28(BaseModel): +class QueryResponseAlternative30(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -5242,7 +5324,7 @@ class LifecycleQuery(BaseModel): ) -class QueryResponseAlternative33(BaseModel): +class QueryResponseAlternative35(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -5271,20 +5353,18 @@ class QueryResponseAlternative( QueryResponseAlternative8, QueryResponseAlternative9, QueryResponseAlternative10, - QueryResponseAlternative11, QueryResponseAlternative12, QueryResponseAlternative13, QueryResponseAlternative14, + QueryResponseAlternative15, ExperimentResultTrendQueryResponse, ExperimentResultFunnelQueryResponse, Any, - QueryResponseAlternative15, QueryResponseAlternative16, QueryResponseAlternative17, QueryResponseAlternative18, QueryResponseAlternative19, QueryResponseAlternative20, - QueryResponseAlternative21, QueryResponseAlternative22, QueryResponseAlternative23, QueryResponseAlternative24, @@ -5293,8 +5373,10 @@ class QueryResponseAlternative( QueryResponseAlternative27, QueryResponseAlternative28, QueryResponseAlternative29, - QueryResponseAlternative32, - QueryResponseAlternative33, + QueryResponseAlternative30, + QueryResponseAlternative31, + QueryResponseAlternative34, + QueryResponseAlternative35, ] ] ): @@ -5310,20 +5392,18 @@ class QueryResponseAlternative( QueryResponseAlternative8, QueryResponseAlternative9, QueryResponseAlternative10, - QueryResponseAlternative11, QueryResponseAlternative12, QueryResponseAlternative13, QueryResponseAlternative14, + QueryResponseAlternative15, ExperimentResultTrendQueryResponse, ExperimentResultFunnelQueryResponse, Any, - QueryResponseAlternative15, QueryResponseAlternative16, QueryResponseAlternative17, QueryResponseAlternative18, QueryResponseAlternative19, QueryResponseAlternative20, - QueryResponseAlternative21, QueryResponseAlternative22, QueryResponseAlternative23, QueryResponseAlternative24, @@ -5332,8 +5412,10 @@ class QueryResponseAlternative( QueryResponseAlternative27, QueryResponseAlternative28, QueryResponseAlternative29, - QueryResponseAlternative32, - QueryResponseAlternative33, + QueryResponseAlternative30, + QueryResponseAlternative31, + QueryResponseAlternative34, + QueryResponseAlternative35, ] @@ -5634,12 +5716,12 @@ class DataTableNode(BaseModel): Response2, Response3, Response4, - Response5, Response6, Response7, Response8, Response9, Response10, + Response11, ] ] = None showActions: Optional[bool] = Field(default=None, description="Show the kebab menu at the end of the row") @@ -5676,6 +5758,7 @@ class DataTableNode(BaseModel): HogQLQuery, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, @@ -5714,6 +5797,7 @@ class HogQLAutocomplete(BaseModel): HogQLAutocomplete, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, @@ -5756,6 +5840,7 @@ class HogQLMetadata(BaseModel): HogQLAutocomplete, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, @@ -5800,6 +5885,7 @@ class QueryRequest(BaseModel): HogQLAutocomplete, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, @@ -5848,6 +5934,7 @@ class QuerySchemaRoot( HogQLAutocomplete, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, @@ -5884,6 +5971,7 @@ class QuerySchemaRoot( HogQLAutocomplete, WebOverviewQuery, WebStatsTableQuery, + WebExternalClicksTableQuery, WebTopClicksQuery, WebGoalsQuery, SessionAttributionExplorerQuery, From 3fb562c90a4719c5d59fce30839ba825d1bf97ec Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Mon, 9 Sep 2024 14:38:35 +0100 Subject: [PATCH 42/66] fix: make the version checker banner team aware (#24861) --- .../components/VersionChecker/VersionCheckerBanner.tsx | 4 +++- .../components/VersionChecker/versionCheckerLogic.ts | 10 ++++++++-- 2 files changed, 11 insertions(+), 3 deletions(-) diff --git a/frontend/src/lib/components/VersionChecker/VersionCheckerBanner.tsx b/frontend/src/lib/components/VersionChecker/VersionCheckerBanner.tsx index fe904748da643..8e7e72efe1b40 100644 --- a/frontend/src/lib/components/VersionChecker/VersionCheckerBanner.tsx +++ b/frontend/src/lib/components/VersionChecker/VersionCheckerBanner.tsx @@ -1,10 +1,12 @@ import { useValues } from 'kea' import { LemonBanner } from 'lib/lemon-ui/LemonBanner' +import { teamLogic } from 'scenes/teamLogic' import { versionCheckerLogic } from './versionCheckerLogic' export function VersionCheckerBanner(): JSX.Element | null { - const { versionWarning } = useValues(versionCheckerLogic) + const { currentTeamId } = useValues(teamLogic) + const { versionWarning } = useValues(versionCheckerLogic({ teamId: currentTeamId })) if (!versionWarning) { return null } diff --git a/frontend/src/lib/components/VersionChecker/versionCheckerLogic.ts b/frontend/src/lib/components/VersionChecker/versionCheckerLogic.ts index 3a86eedbd95a9..7ffecbbf89c82 100644 --- a/frontend/src/lib/components/VersionChecker/versionCheckerLogic.ts +++ b/frontend/src/lib/components/VersionChecker/versionCheckerLogic.ts @@ -1,4 +1,4 @@ -import { actions, afterMount, kea, listeners, path, reducers, sharedListeners } from 'kea' +import { actions, afterMount, kea, key, listeners, path, props, reducers, sharedListeners } from 'kea' import { loaders } from 'kea-loaders' import api from 'lib/api' import { isNotNil } from 'lib/utils' @@ -45,8 +45,14 @@ export interface AvailableVersions { deprecation?: PosthogJSDeprecation } +export interface VersionCheckerLogicProps { + teamId: number | null +} + export const versionCheckerLogic = kea([ - path(['components', 'VersionChecker', 'versionCheckerLogic']), + props({ teamId: null } as VersionCheckerLogicProps), + key(({ teamId }) => teamId || 'no-team-id'), + path((key) => ['components', 'VersionChecker', 'versionCheckerLogic', key]), actions({ setVersionWarning: (versionWarning: SDKVersionWarning | null) => ({ versionWarning }), setSdkVersions: (sdkVersions: SDKVersion[]) => ({ sdkVersions }), From 5cd21eafc0ef3994a750656e031f8893750623ba Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Mon, 9 Sep 2024 14:39:02 +0100 Subject: [PATCH 43/66] feat: web vitals metrics allowlist (#24850) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- ...ayer-success--recent-recordings--light.png | Bin 58699 -> 58466 bytes ...other-settings--settings-project--dark.png | Bin 721896 -> 731603 bytes ...ther-settings--settings-project--light.png | Bin 719992 -> 729428 bytes ...ngs-project-with-replay-features--dark.png | Bin 747679 -> 757561 bytes ...gs-project-with-replay-features--light.png | Bin 745836 -> 755411 bytes ...er-settings--settings-web-vitals--dark.png | Bin 0 -> 156664 bytes ...r-settings--settings-web-vitals--light.png | Bin 0 -> 157030 bytes .../scenes/settings/SettingsScene.stories.tsx | 19 ++++- .../settings/project/AutocaptureSettings.tsx | 55 ++++++++++++- frontend/src/scenes/teamActivityDescriber.tsx | 5 ++ frontend/src/types.ts | 3 +- latest_migrations.manifest | 2 +- posthog/api/decide.py | 4 + posthog/api/team.py | 2 + .../api/test/__snapshots__/test_action.ambr | 3 + .../test/__snapshots__/test_annotation.ambr | 3 + .../api/test/__snapshots__/test_decide.ambr | 8 ++ .../test_early_access_feature.ambr | 2 + .../api/test/__snapshots__/test_element.ambr | 1 + .../test/__snapshots__/test_feature_flag.ambr | 8 ++ .../api/test/__snapshots__/test_insight.ambr | 11 +++ .../test_organization_feature_flag.ambr | 12 +++ .../test/__snapshots__/test_preflight.ambr | 1 + .../api/test/__snapshots__/test_survey.ambr | 1 + .../__snapshots__/test_dashboard.ambr | 73 ++++++++++++++++++ .../__snapshots__/test_notebook.ambr | 4 + posthog/api/test/test_decide.py | 43 +++++++++-- .../0467_add_web_vitals_allowed_metrics.py | 17 ++++ .../test/__snapshots__/test_filter.ambr | 5 ++ posthog/models/team/team.py | 1 + .../test_session_recordings.ambr | 35 +++++++++ .../test_process_scheduled_changes.ambr | 2 + .../test/__snapshots__/test_feature_flag.ambr | 3 + posthog/test/test_team.py | 1 + 34 files changed, 314 insertions(+), 10 deletions(-) create mode 100644 frontend/__snapshots__/scenes-other-settings--settings-web-vitals--dark.png create mode 100644 frontend/__snapshots__/scenes-other-settings--settings-web-vitals--light.png create mode 100644 posthog/migrations/0467_add_web_vitals_allowed_metrics.py diff --git a/frontend/__snapshots__/replay-player-success--recent-recordings--light.png b/frontend/__snapshots__/replay-player-success--recent-recordings--light.png index 09792a848277ffb6ef876fed5b2bfa63ab29f2d5..a81c99d60c1422246114414d0ad35a638a2e9934 100644 GIT binary patch literal 58466 zcmd43^;=b27x=pnL|O!-Lt0u|TDn70TDn2HOO)28pQ@ARDW-upcF z54iX4A0+m2?YZV0JwAgV1vzn4Bzz0$TL=+(i_7Z}gj37J#ztP~v$pT+s>=ng@ 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( <> @@ -36,7 +33,6 @@ export function DashboardEditBar(): JSX.Element { )} /> { if (dashboardMode !== DashboardMode.Edit) { setDashboardMode(DashboardMode.Edit, null) diff --git a/frontend/src/scenes/dashboard/DashboardHeader.tsx b/frontend/src/scenes/dashboard/DashboardHeader.tsx index 95bbb0c480e6a..403827fde6668 100644 --- a/frontend/src/scenes/dashboard/DashboardHeader.tsx +++ b/frontend/src/scenes/dashboard/DashboardHeader.tsx @@ -138,7 +138,13 @@ export function DashboardHeader(): JSX.Element | null { setDashboardMode(null, DashboardEventSource.DashboardHeaderSaveDashboard) } tabIndex={10} - disabled={dashboardLoading} + disabledReason={ + dashboardLoading + ? 'Wait for dashboard to finish loading' + : canEditDashboard + ? undefined + : 'Not privileged to edit this dashboard' + } > Save From 39ea30f7caf9ce6887e4d6363c6a6f30d6aff2e1 Mon Sep 17 00:00:00 2001 From: Anirudh S Date: Mon, 9 Sep 2024 13:24:08 +0530 Subject: [PATCH 31/66] refactor: Replace style props with css classes (#24732) --- frontend/src/scenes/surveys/SurveyEdit.tsx | 10 +--------- 1 file changed, 1 insertion(+), 9 deletions(-) diff --git a/frontend/src/scenes/surveys/SurveyEdit.tsx b/frontend/src/scenes/surveys/SurveyEdit.tsx index 191ed1742db06..a8afb5e6c2ac4 100644 --- a/frontend/src/scenes/surveys/SurveyEdit.tsx +++ b/frontend/src/scenes/surveys/SurveyEdit.tsx @@ -132,15 +132,7 @@ export default function SurveyEdit(): JSX.Element { description="Automatically appears when PostHog JS is installed" value={SurveyType.Popover} > -
+
From 9bfb4a7d3a51189972c323ac5ba80ba72eb04e93 Mon Sep 17 00:00:00 2001 From: Paul D'Ambra Date: Mon, 9 Sep 2024 09:11:31 +0100 Subject: [PATCH 32/66] fix: activity log stories (#24851) Co-authored-by: github-actions <41898282+github-actions[bot]@users.noreply.github.com> --- ...itylog--data-management-activity--dark.png | Bin 0 -> 49132 bytes ...tylog--data-management-activity--light.png | Bin 0 -> 50288 bytes ...tivitylog--feature-flag-activity--dark.png | Bin 0 -> 95727 bytes ...ivitylog--feature-flag-activity--light.png | Bin 0 -> 94716 bytes ...ts-activitylog--insight-activity--dark.png | Bin 0 -> 161879 bytes ...s-activitylog--insight-activity--light.png | Bin 0 -> 159649 bytes ...ts-activitylog--persons-activity--dark.png | Bin 0 -> 48675 bytes ...s-activitylog--persons-activity--light.png | Bin 0 -> 49832 bytes ...nents-activitylog--team-activity--dark.png | Bin 0 -> 55039 bytes ...ents-activitylog--team-activity--light.png | Bin 0 -> 54504 bytes ...onents-activitylog--with-caption--dark.png | Bin 0 -> 106908 bytes ...nents-activitylog--with-caption--light.png | Bin 0 -> 105924 bytes ...onents-activitylog--with-no-data--dark.png | Bin 0 -> 49162 bytes ...nents-activitylog--with-no-data--light.png | Bin 0 -> 50321 bytes ...tylog--without-audit-logs-feaure--dark.png | Bin 0 -> 13110 bytes ...ylog--without-audit-logs-feaure--light.png | Bin 0 -> 12952 bytes .../ActivityLog/ActivityLog.stories.tsx | 43 ++++++++++++++---- 17 files changed, 35 insertions(+), 8 deletions(-) create mode 100644 frontend/__snapshots__/components-activitylog--data-management-activity--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--data-management-activity--light.png create mode 100644 frontend/__snapshots__/components-activitylog--feature-flag-activity--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--feature-flag-activity--light.png create mode 100644 frontend/__snapshots__/components-activitylog--insight-activity--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--insight-activity--light.png create mode 100644 frontend/__snapshots__/components-activitylog--persons-activity--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--persons-activity--light.png create mode 100644 frontend/__snapshots__/components-activitylog--team-activity--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--team-activity--light.png create mode 100644 frontend/__snapshots__/components-activitylog--with-caption--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--with-caption--light.png create mode 100644 frontend/__snapshots__/components-activitylog--with-no-data--dark.png create mode 100644 frontend/__snapshots__/components-activitylog--with-no-data--light.png create mode 100644 frontend/__snapshots__/components-activitylog--without-audit-logs-feaure--dark.png 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'/api/projects/:team/feature_flags/5/activity': (_, __, ctx) => [ - ctx.delay(86400000), - ctx.status(200), - ctx.json({ results: [] }), + // TODO: setting available featues should be a decorator to make this easy + '/api/users/@me': () => [ + 200, + { + email: 'test@posthog.com', + first_name: 'Test Hedgehog', + organization: { + ...organizationCurrent, + available_product_features: [ + { + key: 'audit_logs', + name: 'Audit logs', + }, + ], + }, + }, ], '/api/projects/:team/feature_flags/6/activity': (_, __, ctx) => [ ctx.status(200), @@ -88,6 +100,21 @@ export function WithNoData(): JSX.Element { return } -export function Timeout(): JSX.Element { - return +export function WithoutAuditLogsFeaure(): JSX.Element { + useStorybookMocks({ + get: { + '/api/users/@me': () => [ + 200, + { + email: 'test@posthog.com', + first_name: 'Test Hedgehog', + organization: { + ...organizationCurrent, + available_product_features: [], + }, + }, + ], + }, + }) + return } From e8596cb78651c42813204329b2c847995f7fdcfd Mon Sep 17 00:00:00 2001 From: Oliver Browne Date: Mon, 9 Sep 2024 11:15:49 +0300 Subject: [PATCH 33/66] feat: get property definitions out of plugin-server (#24843) --- .../functional_tests/definitions.test.ts | 160 ---- plugin-server/src/config/config.ts | 1 - plugin-server/src/types.ts | 1 - .../src/worker/ingestion/process-event.ts | 11 +- .../property-definitions-auto-discovery.ts | 129 --- .../ingestion/property-definitions-cache.ts | 96 -- .../ingestion/property-definitions-manager.ts | 336 +------ .../tests/main/process-event.test.ts | 411 +-------- ...roperty-definitions-auto-discovery.test.ts | 77 -- .../property-definitions-cache.test.ts | 117 --- .../property-definitions-manager.test.ts | 818 ------------------ 11 files changed, 20 insertions(+), 2137 deletions(-) delete mode 100644 plugin-server/functional_tests/definitions.test.ts delete mode 100644 plugin-server/src/worker/ingestion/property-definitions-auto-discovery.ts delete mode 100644 plugin-server/src/worker/ingestion/property-definitions-cache.ts delete mode 100644 plugin-server/tests/worker/ingestion/property-definitions-auto-discovery.test.ts delete mode 100644 plugin-server/tests/worker/ingestion/property-definitions-cache.test.ts delete mode 100644 plugin-server/tests/worker/ingestion/property-definitions-manager.test.ts diff --git a/plugin-server/functional_tests/definitions.test.ts b/plugin-server/functional_tests/definitions.test.ts deleted file mode 100644 index 574fdf5d091ba..0000000000000 --- a/plugin-server/functional_tests/definitions.test.ts +++ /dev/null @@ -1,160 +0,0 @@ -import { UUIDT } from '../src/utils/utils' -import { capture, createOrganization, createTeam, getPropertyDefinitions } from './api' -import { waitForExpect } from './expectations' - -let organizationId: string - -beforeAll(async () => { - organizationId = await createOrganization() -}) - -test.concurrent(`event ingestion: definition for string property %p`, async () => { - const teamId = await createTeam(organizationId) - const distinctId = 'distinctId' - const uuid = new UUIDT().toString() - - await capture({ - teamId, - distinctId, - uuid, - event: 'custom event', - properties: { - property: 'hehe', - }, - }) - - await waitForExpect(async () => { - const propertyDefinitions = await getPropertyDefinitions(teamId) - expect(propertyDefinitions).toContainEqual( - expect.objectContaining({ - name: 'property', - is_numerical: false, - property_type: 'String', - }) - ) - }) -}) - -test.concurrent.each([[2], [2.1234], ['2'], ['2.1234']])( - `event ingestion: definition for number property as number %p`, - async (numberValue: any) => { - const teamId = await createTeam(organizationId) - const distinctId = 'distinctId' - const uuid = new UUIDT().toString() - - await capture({ - teamId, - distinctId, - uuid, - event: 'custom event', - properties: { - property: numberValue, - }, - }) - - await waitForExpect(async () => { - const propertyDefinitions = await getPropertyDefinitions(teamId) - expect(propertyDefinitions).toContainEqual( - expect.objectContaining({ - name: 'property', - is_numerical: typeof numberValue === 'number', - property_type: typeof numberValue === 'number' ? 'Numeric' : 'String', - }) - ) - }) - } -) - -test.concurrent.each([ - ['01/01/2020 00:00:00'], - ['01-01-2020 00:00:00'], - ['2020/01/01 00:00:00'], - ['2020-01-01T00:00:00Z'], - ['2020-01-01 00:00:00'], - ['2020-01-01'], -])(`event ingestion: definition for date/datetime property should be datetime %p`, async (dateString: string) => { - const teamId = await createTeam(organizationId) - const distinctId = 'distinctId' - const uuid = new UUIDT().toString() - - await capture({ - teamId, - distinctId, - uuid, - event: 'custom event', - properties: { - property: dateString, - }, - }) - - await waitForExpect(async () => { - const propertyDefinitions = await getPropertyDefinitions(teamId) - expect(propertyDefinitions).toContainEqual( - expect.objectContaining({ - name: 'property', - is_numerical: false, - property_type: 'DateTime', - }) - ) - }) -}) - -test.concurrent.each([[true], ['true']])( - `event ingestion: definition for boolean property %p`, - async (booleanValue: any) => { - const teamId = await createTeam(organizationId) - const distinctId = 'distinctId' - const uuid = new UUIDT().toString() - - await capture({ - teamId, - distinctId, - uuid, - event: 'custom event', - properties: { - property: booleanValue, - }, - }) - - await waitForExpect(async () => { - const propertyDefinitions = await getPropertyDefinitions(teamId) - expect(propertyDefinitions).toContainEqual( - expect.objectContaining({ - name: 'property', - is_numerical: false, - property_type: 'Boolean', - }) - ) - }) - } -) - -test.concurrent.each([['utm_abc'], ['utm_123']])( - `event ingestion: utm properties should always be strings`, - async (propertyName: string) => { - const teamId = await createTeam(organizationId) - const distinctId = 'distinctId' - const uuid = new UUIDT().toString() - - await capture({ - teamId, - distinctId, - uuid, - event: 'custom event', - properties: { - [propertyName]: 1234, - }, - }) - - await waitForExpect(async () => { - const propertyDefinitions = await getPropertyDefinitions(teamId) - expect(propertyDefinitions).toContainEqual( - expect.objectContaining({ - name: propertyName, - is_numerical: false, - property_type: 'String', - }) - ) - }) - } -) diff --git a/plugin-server/src/config/config.ts b/plugin-server/src/config/config.ts index 671f23014ee7b..afa2ba1d72fe3 100644 --- a/plugin-server/src/config/config.ts +++ b/plugin-server/src/config/config.ts @@ -127,7 +127,6 @@ export function getDefaultConfig(): PluginsServerConfig { EXTERNAL_REQUEST_TIMEOUT_MS: 10 * 1000, // 10 seconds DROP_EVENTS_BY_TOKEN_DISTINCT_ID: '', DROP_EVENTS_BY_TOKEN: '', - SKIP_DEFINITIONS_FOR_TEAM_IDS: '', PIPELINE_STEP_STALLED_LOG_TIMEOUT: 30, RELOAD_PLUGIN_JITTER_MAX_MS: 60000, RUSTY_HOOK_FOR_TEAMS: '', diff --git a/plugin-server/src/types.ts b/plugin-server/src/types.ts index 7cb78d577e562..58253a210abd3 100644 --- a/plugin-server/src/types.ts +++ b/plugin-server/src/types.ts @@ -230,7 +230,6 @@ export interface PluginsServerConfig extends CdpConfig { EXTERNAL_REQUEST_TIMEOUT_MS: number DROP_EVENTS_BY_TOKEN_DISTINCT_ID: string DROP_EVENTS_BY_TOKEN: string - SKIP_DEFINITIONS_FOR_TEAM_IDS: string // Comma separated list of team IDs to skip processing property/event definitions for RELOAD_PLUGIN_JITTER_MAX_MS: number RUSTY_HOOK_FOR_TEAMS: string RUSTY_HOOK_ROLLOUT_PERCENTAGE: number diff --git a/plugin-server/src/worker/ingestion/process-event.ts b/plugin-server/src/worker/ingestion/process-event.ts index 1c5499879e3c7..f03ca9d85fb04 100644 --- a/plugin-server/src/worker/ingestion/process-event.ts +++ b/plugin-server/src/worker/ingestion/process-event.ts @@ -26,7 +26,7 @@ import { castTimestampOrNow } from '../../utils/utils' import { GroupTypeManager, MAX_GROUP_TYPES_PER_TEAM } from './group-type-manager' import { addGroupProperties } from './groups' import { upsertGroup } from './properties-updater' -import { PropertyDefinitionsManager } from './property-definitions-manager' +import { GroupAndFirstEventManager } from './property-definitions-manager' import { TeamManager } from './team-manager' import { captureIngestionWarning } from './utils' @@ -49,7 +49,7 @@ export class EventsProcessor { kafkaProducer: KafkaProducerWrapper teamManager: TeamManager groupTypeManager: GroupTypeManager - propertyDefinitionsManager: PropertyDefinitionsManager + groupAndFirstEventManager: GroupAndFirstEventManager constructor(pluginsServer: Hub) { this.pluginsServer = pluginsServer @@ -58,11 +58,10 @@ export class EventsProcessor { this.kafkaProducer = pluginsServer.kafkaProducer this.teamManager = pluginsServer.teamManager this.groupTypeManager = new GroupTypeManager(pluginsServer.postgres, this.teamManager, pluginsServer.SITE_URL) - this.propertyDefinitionsManager = new PropertyDefinitionsManager( + this.groupAndFirstEventManager = new GroupAndFirstEventManager( this.teamManager, this.groupTypeManager, - pluginsServer.db, - pluginsServer + pluginsServer.db ) } @@ -156,7 +155,7 @@ export class EventsProcessor { if (this.pluginsServer.SKIP_UPDATE_EVENT_AND_PROPERTIES_STEP === false) { try { - await this.propertyDefinitionsManager.updateEventNamesAndProperties(team.id, event, properties) + await this.groupAndFirstEventManager.updateGroupsAndFirstEvent(team.id, event, properties) } catch (err) { Sentry.captureException(err, { tags: { team_id: team.id } }) status.warn('⚠️', 'Failed to update property definitions for an event', { diff --git a/plugin-server/src/worker/ingestion/property-definitions-auto-discovery.ts b/plugin-server/src/worker/ingestion/property-definitions-auto-discovery.ts deleted file mode 100644 index bcffcbbc3c89f..0000000000000 --- a/plugin-server/src/worker/ingestion/property-definitions-auto-discovery.ts +++ /dev/null @@ -1,129 +0,0 @@ -import { DateTimePropertyTypeFormat, PropertyType, UnixTimestampPropertyTypeFormat } from '../../types' - -// magic copied from https://stackoverflow.com/a/54930905 -// allows candidate to be typed as any - -export const unixTimestampPropertyTypeFormatPatterns: Record = { - UNIX_TIMESTAMP: /^\d{10}(\.\d*)?$/, - UNIX_TIMESTAMP_MILLISECONDS: /^\d{13}$/, -} - -export const dateTimePropertyTypeFormatPatterns: Record = { - DATE: /^\d{4}-\d{2}-\d{2}$/, - ISO8601_DATE: /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:?(?:\d{2})?)$/i, - FULL_DATE: /^\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}$/, - FULL_DATE_INCREASING: /^\d{2}-\d{2}-\d{4} \d{2}:\d{2}:\d{2}$/, - WITH_SLASHES: /^\d{4}\/\d{2}\/\d{2} \d{2}:\d{2}:\d{2}$/, - WITH_SLASHES_INCREASING: /^\d{2}\/\d{2}\/\d{4} \d{2}:\d{2}:\d{2}$/, - // see https://datatracker.ietf.org/doc/html/rfc2822#section-3.3 - RFC_822: - /^((mon|tue|wed|thu|fri|sat|sun), )?\d{2} (jan|feb|mar|apr|may|jun|jul|aug|sep|oct|nov|dec) \d{4} \d{2}:\d{2}:\d{2}( [+|-]\d{4})?$/i, -} - -export const detectPropertyDefinitionTypes = (value: unknown, key: string): PropertyType | null => { - let propertyType: PropertyType | null = null - - /** - * Auto-detecting unix timestamps is tricky. It's hard to know what is a big number or ID and what is a timestamp - * - * This tries to detect the most likely cases. - * - * * Numbers or Numeric Strings - * * That are either ten digits (seconds since unix epoch), or 13 digits (milliseconds since unix epoch), - * * or ten digits with numbers after the decimal place (whole seconds since unix epoch and fractions of a second) - * * where the property key includes either time or timestamp - * - * ten digits of seconds since epoch runs between Sep 09 2001 and Nov 20th 2286 - * - * These are some representations from a variety of programming languages - * - * Python - * >>> datetime.now().timestamp() - * 1641477529.234715 - * - * Ruby - * puts Time.now.to_i - * 1641477692 - * - * Node JS - * console.log(Date.now()) - * 1641477753371 - * - * Java - * System.out.println(LocalDateTime.now().toEpochSecond(ZoneOffset.UTC)); - * 1641478115 - * - * SQL Lite - * select strftime('%s', 'now') - * 1641478347 - */ - const detectUnixTimestamps = () => { - Object.values(unixTimestampPropertyTypeFormatPatterns).find((pattern) => { - if ( - (key.toLowerCase().includes('timestamp') || key.toLowerCase().includes('time')) && - String(value).match(pattern) - ) { - propertyType = PropertyType.DateTime - return true - } - }) - } - - if (/^utm_/i.test(key)) { - // utm_ prefixed properties should always be detected as strings. - // Sometimes the first value sent looks like a number, event though - // subsequent values are not. See - // https://github.com/PostHog/posthog/issues/12529 for more context. - return PropertyType.String - } - - if (key.indexOf('$feature/') === 0) { - // $feature/ prefixed properties should always be detected as strings. - // These are feature flag values, and can be boolean or string. - // Sometimes the first value sent is boolean (because flag isn't enabled) while - // subsequent values are not. We don't want this to be misunderstood as a boolean. - return PropertyType.String - } - - if (key === '$feature_flag_response') { - // $feature_flag_response properties should always be detected as strings. - // These are feature flag values, and can be boolean or string. - // Sometimes the first value sent is boolean (because flag isn't enabled) while - // subsequent values are not. We don't want this to be misunderstood as a boolean. - return PropertyType.String - } - - if (key.indexOf('$survey_response') === 0) { - // NB: $survey_responses are collected in an interesting way, where the first - // response is called `$survey_response` and subsequent responses are called - // `$survey_response_2`, `$survey_response_3`, etc. So, this check should auto-cast - // all survey responses to strings, and $survey_response properties should always be detected as strings. - return PropertyType.String - } - - if (typeof value === 'number') { - propertyType = PropertyType.Numeric - - detectUnixTimestamps() - } - - if (typeof value === 'string') { - propertyType = PropertyType.String - - Object.values(dateTimePropertyTypeFormatPatterns).find((pattern) => { - if (value.match(pattern)) { - propertyType = PropertyType.DateTime - return true - } - }) - } - - if ( - typeof value === 'boolean' || - (typeof value === 'string' && ['true', 'false'].includes(value.trim().toLowerCase())) - ) { - propertyType = PropertyType.Boolean - } - - return propertyType -} diff --git a/plugin-server/src/worker/ingestion/property-definitions-cache.ts b/plugin-server/src/worker/ingestion/property-definitions-cache.ts deleted file mode 100644 index db91dd7fc8d2a..0000000000000 --- a/plugin-server/src/worker/ingestion/property-definitions-cache.ts +++ /dev/null @@ -1,96 +0,0 @@ -import LRU from 'lru-cache' -import LRUCache from 'lru-cache' - -import { ONE_HOUR } from '../../config/constants' -import { GroupTypeIndex, PluginsServerConfig, PropertyDefinitionTypeEnum, PropertyType, TeamId } from '../../types' -import { DB } from '../../utils/db/db' -import { PostgresUse } from '../../utils/db/postgres' - -export const NULL_IN_DATABASE = Symbol('NULL_IN_DATABASE') -export const NULL_AFTER_PROPERTY_TYPE_DETECTION = Symbol('NULL_AFTER_PROPERTY_TYPE_DETECTION') - -type PropertyDefinitionsCacheValue = PropertyType | typeof NULL_IN_DATABASE | typeof NULL_AFTER_PROPERTY_TYPE_DETECTION - -/** - * During event ingestion the property definitions manager attempts to auto-detect the property type and format for properties - * - * The PropertyDefinitionsCache is used to reduce the load on Postgres - * when inserting property definitions during event ingestion - * - * A property definition can be in one of several states - * - * - never seen before -> it is not in the cache and should be inserted into the database - * - in the cache and has a property type -> it never needs to be updated - * - in the cache and has null as a property type -> it might need property types inserted in postgres ('NULL_IN_DATABASE') - * - it is in the cache and has been confirmed as having no property type -> it never needs to be updated ('NULL_AFTER_PROPERTY_TYPE_DETECTION') - */ -export class PropertyDefinitionsCache { - readonly propertyDefinitionsCache: Map> - private readonly lruCacheSize: number - - constructor(serverConfig: PluginsServerConfig) { - this.lruCacheSize = serverConfig.EVENT_PROPERTY_LRU_SIZE - this.propertyDefinitionsCache = new Map() - } - - async initialize(teamId: number, db: DB): Promise { - const properties = await db.postgres.query( - PostgresUse.COMMON_WRITE, - 'SELECT name, property_type, type, group_type_index FROM posthog_propertydefinition WHERE team_id = $1', - [teamId], - 'fetchPropertyDefinitions' - ) - - const teamPropertyDefinitionsCache = new LRU({ - max: this.lruCacheSize, // keep in memory the last 10k property definitions we have seen - maxAge: ONE_HOUR * 24, // cache up to 24h - updateAgeOnGet: true, - }) - - for (const item of properties.rows) { - teamPropertyDefinitionsCache.set( - this.key(item.name, item.type, item.group_type_index), - item.property_type ?? NULL_IN_DATABASE - ) - } - - this.propertyDefinitionsCache.set(teamId, teamPropertyDefinitionsCache) - } - - has(teamId: number): boolean { - return this.propertyDefinitionsCache.has(teamId) - } - - shouldUpdate( - teamId: number, - property: string, - type: PropertyDefinitionTypeEnum, - groupTypeIndex: GroupTypeIndex | null - ): boolean { - const teamCache = this.propertyDefinitionsCache.get(teamId) - const value = teamCache?.get(this.key(property, type, groupTypeIndex)) - return value === undefined || value === NULL_IN_DATABASE - } - - set( - teamId: number, - property: string, - type: PropertyDefinitionTypeEnum, - groupTypeIndex: GroupTypeIndex | null, - detectedPropertyType: PropertyType | null - ): void { - const teamCache = this.propertyDefinitionsCache.get(teamId) - teamCache?.set( - this.key(property, type, groupTypeIndex), - detectedPropertyType ?? NULL_AFTER_PROPERTY_TYPE_DETECTION - ) - } - - get(teamId: number): LRUCache | undefined { - return this.propertyDefinitionsCache.get(teamId) - } - - private key(property: string, type: PropertyDefinitionTypeEnum, groupTypeIndex: GroupTypeIndex | null): string { - return `${type}${groupTypeIndex ?? ''}${property}` - } -} diff --git a/plugin-server/src/worker/ingestion/property-definitions-manager.ts b/plugin-server/src/worker/ingestion/property-definitions-manager.ts index 89db42064c97c..98920ca7dab7e 100644 --- a/plugin-server/src/worker/ingestion/property-definitions-manager.ts +++ b/plugin-server/src/worker/ingestion/property-definitions-manager.ts @@ -1,41 +1,14 @@ import { Properties } from '@posthog/plugin-scaffold' -import LRU from 'lru-cache' -import { DateTime } from 'luxon' import { Summary } from 'prom-client' -import { ONE_HOUR } from '../../config/constants' -import { - GroupTypeIndex, - PluginsServerConfig, - PropertyDefinitionTypeEnum, - PropertyType, - Team, - TeamId, -} from '../../types' +import { Team } from '../../types' import { DB } from '../../utils/db/db' -import { PostgresUse } from '../../utils/db/postgres' -import { sanitizeString, timeoutGuard } from '../../utils/db/utils' -import { status } from '../../utils/status' -import { UUIDT } from '../../utils/utils' +import { timeoutGuard } from '../../utils/db/utils' import { GroupTypeManager } from './group-type-manager' -import { detectPropertyDefinitionTypes } from './property-definitions-auto-discovery' -import { PropertyDefinitionsCache } from './property-definitions-cache' import { TeamManager } from './team-manager' // for e.g. internal events we don't want to be available for users in the UI const EVENTS_WITHOUT_EVENT_DEFINITION = ['$$plugin_metrics'] -// These are used internally for manipulating person/group properties -const NOT_SYNCED_PROPERTIES = new Set([ - '$set', - '$set_once', - '$unset', - '$group_0', - '$group_1', - '$group_2', - '$group_3', - '$group_4', - '$groups', -]) const updateEventNamesAndPropertiesMsSummary = new Summary({ name: 'update_event_names_and_properties_ms', @@ -43,94 +16,22 @@ const updateEventNamesAndPropertiesMsSummary = new Summary({ percentiles: [0.5, 0.9, 0.95, 0.99], }) -type PartialPropertyDefinition = { - key: string - type: PropertyDefinitionTypeEnum - value: any - groupTypeIndex: GroupTypeIndex | null -} - -// See EventProperty and EventDefinition in Django. They have CharFields with a `max_length` we -// need to respect. Note that `character varying` columns deal in characters and not in bytes. -const DJANGO_EVENT_MAX_CHARFIELD_LENGTH = 400 - -function willFitInPostgresColumn(str: string, maxLength = DJANGO_EVENT_MAX_CHARFIELD_LENGTH) { - if (str.length <= maxLength / 2) { - // If it's half or less the length, then it will fit even if every character contains - // a surrogate pair. - return true - } - - // Gives us a correct unicode character count, handling surrogate pairs. - const unicodeCharacters = Array.from(str) - return unicodeCharacters.length <= maxLength -} - -// TODO - this entire class should be removed once propdefs-rs is fully up and running. This class does -// 3 different things: Tracks 1st event seen, updates event/property definitions, and auto-creates group-types. -// propdefs-rs will handle the definitions portion of the work, and this should become a simple 1st event seen and group-types -// manager -export class PropertyDefinitionsManager { +export class GroupAndFirstEventManager { db: DB teamManager: TeamManager groupTypeManager: GroupTypeManager - eventDefinitionsCache: LRU> - eventPropertiesCache: LRU> // Map> - eventLastSeenCache: LRU // key: JSON.stringify([team_id, event]); value: parseInt(YYYYMMDD) - propertyDefinitionsCache: PropertyDefinitionsCache - teamIdsToSkip: Set = new Set() - private readonly lruCacheSize: number - constructor( - teamManager: TeamManager, - groupTypeManager: GroupTypeManager, - db: DB, - serverConfig: PluginsServerConfig - ) { + constructor(teamManager: TeamManager, groupTypeManager: GroupTypeManager, db: DB) { this.db = db this.teamManager = teamManager this.groupTypeManager = groupTypeManager - this.lruCacheSize = serverConfig.EVENT_PROPERTY_LRU_SIZE - - this.eventDefinitionsCache = new LRU({ - max: this.lruCacheSize, - maxAge: ONE_HOUR * 24, - updateAgeOnGet: true, - }) - this.eventPropertiesCache = new LRU({ - max: this.lruCacheSize, // keep in memory the last 10k team+event combos we have seen - maxAge: ONE_HOUR * 24, // cache up to 24h - updateAgeOnGet: true, - }) - this.eventLastSeenCache = new LRU({ - max: this.lruCacheSize, // keep in memory the last 10k team+event combos we have seen - maxAge: ONE_HOUR * 24, // cache up to 24h - updateAgeOnGet: true, - }) - this.propertyDefinitionsCache = new PropertyDefinitionsCache(serverConfig) - - const skipTeams = serverConfig.SKIP_DEFINITIONS_FOR_TEAM_IDS ?? '' - - if (skipTeams.length > 0) { - this.teamIdsToSkip = new Set(skipTeams.split(',').map((id) => parseInt(id))) - } } - public async updateEventNamesAndProperties(teamId: number, event: string, properties: Properties): Promise { + public async updateGroupsAndFirstEvent(teamId: number, event: string, properties: Properties): Promise { if (EVENTS_WITHOUT_EVENT_DEFINITION.includes(event)) { return } - // We don't bail out early here because this code also handles creating new - // group-types and groupt-type indexes, and 1st event tracking, and we want - // to do that even IF we're not generating any definitions for the event. - const shouldSkip = this.teamIdsToSkip.has(teamId) - - event = sanitizeString(event) - if (!willFitInPostgresColumn(event)) { - return - } - const timer = new Date() const timeout = timeoutGuard( 'Still running "updateEventNamesAndProperties". Timeout warning after 30 sec!', @@ -145,25 +46,19 @@ export class PropertyDefinitionsManager { if (!team) { return } - if (!shouldSkip) { - // If we're skipping the definition updates for this team, we shouldn't bother with any - // prefetching or caching. - await this.cacheEventNamesAndProperties(team.id, event) - } // We always track 1st event ingestion const promises = [this.teamManager.setTeamIngestedEvent(team, properties)] - // Property definitions are more complicated - group-type-index resolution is done here, and - // that includes automatic group creation, which we want to do even if we're skipping the - // rest of the definition updates, so we run this and tell it to skip, rather than skipping - // it outright. - promises.push(this.syncPropertyDefinitions(team, event, properties, shouldSkip)) - - // Event and event-property definitions only do what they say on the tin, so we can skip them - if (!shouldSkip) { - promises.push(this.syncEventDefinitions(team, event)) - promises.push(this.syncEventProperties(team, event, properties)) + // We always insert/update group-types, so if this is a group-identify event, we hit + // the group-type manager, making it insert or update as necessary. + if (event === '$groupidentify') { + const { $group_type: groupType, $group_set: groupPropertiesToSet } = properties + if (groupType != null && groupPropertiesToSet != null) { + // This "fetch" is side-effecty, it inserts a group-type and assigns an index if one isn't found + const groupPromise = this.groupTypeManager.fetchGroupTypeIndex(teamId, groupType).then(() => {}) + promises.push(groupPromise) + } } await Promise.all(promises) @@ -172,207 +67,4 @@ export class PropertyDefinitionsManager { updateEventNamesAndPropertiesMsSummary.observe(Date.now() - timer.valueOf()) } } - - private async syncEventDefinitions(team: Team, event: string) { - const cacheKey = JSON.stringify([team.id, event]) - const cacheTime = parseInt(DateTime.now().toFormat('yyyyMMdd', { timeZone: 'UTC' })) - - if (!this.eventDefinitionsCache.get(team.id)?.has(event)) { - status.info('Inserting new event definition with last_seen_at') - this.eventLastSeenCache.set(cacheKey, cacheTime) - await this.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventdefinition (id, name, volume_30_day, query_usage_30_day, team_id, last_seen_at, created_at) -VALUES ($1, $2, NULL, NULL, $3, $4, NOW()) ON CONFLICT -ON CONSTRAINT posthog_eventdefinition_team_id_name_80fa0b87_uniq DO UPDATE SET last_seen_at=$4`, - [new UUIDT().toString(), event, team.id, DateTime.now()], - 'insertEventDefinition' - ) - this.eventDefinitionsCache.get(team.id)?.add(event) - } else { - if ((this.eventLastSeenCache.get(cacheKey) ?? 0) < cacheTime) { - this.eventLastSeenCache.set(cacheKey, cacheTime) - await this.db.postgres.query( - PostgresUse.COMMON_WRITE, - `UPDATE posthog_eventdefinition SET last_seen_at=$1 WHERE team_id=$2 AND name=$3`, - [DateTime.now(), team.id, event], - 'updateEventLastSeenAt' - ) - } - } - } - - private async syncEventProperties(team: Team, event: string, properties: Properties) { - const key = JSON.stringify([team.id, event]) - let existingProperties = this.eventPropertiesCache.get(key) - const toInsert: Array<[string, string, TeamId]> = [] - if (!existingProperties) { - existingProperties = new Set() - this.eventPropertiesCache.set(key, existingProperties) - } - - for (let property of this.getPropertyKeys(properties)) { - property = sanitizeString(property) - if (!willFitInPostgresColumn(property)) { - continue - } - - if (!existingProperties.has(property)) { - existingProperties.add(property) - toInsert.push([event, property, team.id]) - } - } - - if (toInsert.length > 0) { - await this.db.postgres.bulkInsert( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventproperty (event, property, team_id) VALUES {VALUES} ON CONFLICT DO NOTHING`, - toInsert, - 'insertEventProperty' - ) - } - } - - private async syncPropertyDefinitions(team: Team, event: string, properties: Properties, shouldSkip: boolean) { - const toInsert: Array< - [string, string, number, number | null, boolean, null, null, TeamId, PropertyType | null] - > = [] - // This call to `getPropertyDefinitions` is the place where group-type-indexes are resolved, and by extension, - // where groups are auto-created. We want to ALWAYS do this, even if we're skipping the rest of the definition - // update process. We have to do it on every property, too, unfortunately. - for await (const definitions of this.getPropertyDefinitions(team.id, event, properties)) { - // Now that we've done the group-type-index resolution/creation, we can skip everything else. - if (shouldSkip) { - continue - } - - let { key } = definitions - key = sanitizeString(key) - if (!willFitInPostgresColumn(key)) { - continue - } - - const { value, type, groupTypeIndex } = definitions - if (this.propertyDefinitionsCache.shouldUpdate(team.id, key, type, groupTypeIndex)) { - const propertyType = detectPropertyDefinitionTypes(value, key) - const isNumerical = propertyType == PropertyType.Numeric - this.propertyDefinitionsCache.set(team.id, key, type, groupTypeIndex, propertyType) - - toInsert.push([ - new UUIDT().toString(), - key, - type, - groupTypeIndex, - isNumerical, - null, - null, - team.id, - propertyType, - ]) - } - } - - if (toInsert.length > 0) { - await this.db.postgres.bulkInsert( - PostgresUse.COMMON_WRITE, - ` - INSERT INTO posthog_propertydefinition (id, name, type, group_type_index, is_numerical, volume_30_day, query_usage_30_day, team_id, property_type) - VALUES {VALUES} - ON CONFLICT (team_id, name, type, coalesce(group_type_index, -1)) - DO UPDATE SET property_type=EXCLUDED.property_type WHERE posthog_propertydefinition.property_type IS NULL - `, - toInsert, - 'insertPropertyDefinition' - ) - } - } - - public async cacheEventNamesAndProperties(teamId: number, event: string): Promise { - let eventDefinitionsCache = this.eventDefinitionsCache.get(teamId) - if (!eventDefinitionsCache) { - const eventNames = await this.db.postgres.query( - PostgresUse.COMMON_WRITE, - 'SELECT name FROM posthog_eventdefinition WHERE team_id = $1', - [teamId], - 'fetchEventDefinitions' - ) - eventDefinitionsCache = new Set(eventNames.rows.map((r) => r.name)) - this.eventDefinitionsCache.set(teamId, eventDefinitionsCache) - } - - if (!this.propertyDefinitionsCache.has(teamId)) { - await this.propertyDefinitionsCache.initialize(teamId, this.db) - } - - const cacheKey = JSON.stringify([teamId, event]) - let properties = this.eventPropertiesCache.get(cacheKey) - if (!properties) { - properties = new Set() - this.eventPropertiesCache.set(cacheKey, properties) - - // The code above and below introduces a race condition. At this point we have an empty set in the cache, - // and will be waiting for the query below to return. If at the same time, asynchronously, we start to - // process another event with the same name for this team, `syncEventProperties` above will see the empty - // cache and will start to insert (on conflict do nothing) all the properties for the event. This will - // continue until either 1) the inserts will fill up the cache, or 2) the query below returns. - // All-in-all, not the end of the world, but a slight nuisance. - - const eventProperties = await this.db.postgres.query( - PostgresUse.COMMON_WRITE, - 'SELECT property FROM posthog_eventproperty WHERE team_id = $1 AND event = $2', - [teamId, event], - 'fetchEventProperties' - ) - for (const { property } of eventProperties.rows) { - properties.add(property) - } - } - } - - private getPropertyKeys(properties: Properties): Array { - return Object.keys(properties).filter((key) => !NOT_SYNCED_PROPERTIES.has(key)) - } - - private async *getPropertyDefinitions( - teamId: number, - event: string, - properties: Properties - ): AsyncGenerator { - if (event === '$groupidentify') { - const { $group_type: groupType, $group_set: groupPropertiesToSet } = properties - if (groupType != null && groupPropertiesToSet != null) { - const groupTypeIndex = await this.groupTypeManager.fetchGroupTypeIndex(teamId, groupType) - // TODO: add further validation that group properties are of the - // expected type - yield* this.extract(groupPropertiesToSet, PropertyDefinitionTypeEnum.Group, groupTypeIndex) - } - } else { - yield* this.extract(properties, PropertyDefinitionTypeEnum.Event) - - if (properties.$set) { - yield* this.extract(properties.$set, PropertyDefinitionTypeEnum.Person) - } - if (properties.$set_once) { - yield* this.extract(properties.$set_once, PropertyDefinitionTypeEnum.Person) - } - } - } - - private *extract( - properties: Properties, - type: PropertyDefinitionTypeEnum, - groupTypeIndex: GroupTypeIndex | null = null - ): Generator { - for (const [key, value] of Object.entries(properties)) { - if (type === PropertyDefinitionTypeEnum.Event && NOT_SYNCED_PROPERTIES.has(key)) { - continue - } - yield { - key, - type, - value, - groupTypeIndex, - } - } - } } diff --git a/plugin-server/tests/main/process-event.test.ts b/plugin-server/tests/main/process-event.test.ts index 9c052ee5acebe..ff9fbcb9d9823 100644 --- a/plugin-server/tests/main/process-event.test.ts +++ b/plugin-server/tests/main/process-event.test.ts @@ -11,16 +11,7 @@ import * as IORedis from 'ioredis' import { DateTime } from 'luxon' import { KAFKA_EVENTS_PLUGIN_INGESTION } from '../../src/config/kafka-topics' -import { - ClickHouseEvent, - Database, - Hub, - LogLevel, - Person, - PluginsServerConfig, - PropertyDefinitionTypeEnum, - Team, -} from '../../src/types' +import { ClickHouseEvent, Database, Hub, LogLevel, Person, PluginsServerConfig, Team } from '../../src/types' import { closeHub, createHub } from '../../src/utils/db/hub' import { PostgresUse } from '../../src/utils/db/postgres' import { personInitialAndUTMProperties } from '../../src/utils/db/utils' @@ -268,9 +259,6 @@ test('capture new person', async () => { ) team = await getFirstTeam(hub) - expect(await hub.db.fetchEventDefinitions()).toEqual([]) - expect(await hub.db.fetchPropertyDefinitions()).toEqual([]) - const properties = personInitialAndUTMProperties({ distinct_id: 2, token: team.api_token, @@ -525,313 +513,6 @@ test('capture new person', async () => { expect(JSON.parse(chPeople3[0].properties)).toEqual(expectedProps) team = await getFirstTeam(hub) - - expect(await hub.db.fetchEventDefinitions()).toEqual([ - { - id: expect.any(String), - name: '$autocapture', - query_usage_30_day: null, - team_id: 2, - volume_30_day: null, - created_at: expect.any(String), - last_seen_at: expect.any(String), - }, - ]) - const received = await hub.db.fetchPropertyDefinitions() - const expected = [ - { - id: expect.any(String), - is_numerical: true, - name: 'distinct_id', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'token', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$browser', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$current_url', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$os', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$browser_version', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$referring_domain', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$referrer', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'utm_medium', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'gclid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'msclkid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$ip', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 1, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'utm_medium', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'gclid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'msclkid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_browser', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_current_url', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_os', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_browser_version', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_referring_domain', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_referrer', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_utm_medium', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_gclid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: '$initial_msclkid', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - type: 2, - group_type_index: null, - volume_30_day: null, - }, - ] - for (const element of expected) { - // Looping in an array to make it easier to debug - expect(received).toEqual(expect.arrayContaining([element])) - } }) test('capture bad team', async () => { @@ -1916,96 +1597,6 @@ describe('when handling $create_alias', () => { }) }) -test('team event_properties', async () => { - expect(await hub.db.fetchEventDefinitions()).toEqual([]) - expect(await hub.db.fetchEventProperties()).toEqual([]) - expect(await hub.db.fetchPropertyDefinitions()).toEqual([]) - - await processEvent( - 'xxx', - '127.0.0.1', - '', - { event: 'purchase', properties: { price: 299.99, name: 'AirPods Pro' } } as any as PluginEvent, - team.id, - now, - new UUIDT().toString() - ) - - team = await getFirstTeam(hub) - - expect(await hub.db.fetchEventDefinitions()).toEqual([ - { - id: expect.any(String), - name: 'purchase', - query_usage_30_day: null, - team_id: 2, - volume_30_day: null, - created_at: expect.any(String), - last_seen_at: expect.any(String), - }, - ]) - expect(await hub.db.fetchPropertyDefinitions()).toEqual([ - { - id: expect.any(String), - is_numerical: false, - name: '$ip', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'name', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - { - id: expect.any(String), - is_numerical: true, - name: 'price', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: 2, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - ]) - - // flushed every minute normally, triggering flush now, it's tested elsewhere - expect(await hub.db.fetchEventProperties()).toEqual([ - { - id: expect.any(Number), - event: 'purchase', - property: '$ip', - team_id: 2, - }, - { - id: expect.any(Number), - event: 'purchase', - property: 'name', - team_id: 2, - }, - { - id: expect.any(Number), - event: 'purchase', - property: 'price', - team_id: 2, - }, - ]) -}) - test('event name object json', async () => { await processEvent( 'xxx', diff --git a/plugin-server/tests/worker/ingestion/property-definitions-auto-discovery.test.ts b/plugin-server/tests/worker/ingestion/property-definitions-auto-discovery.test.ts deleted file mode 100644 index 88ade64430390..0000000000000 --- a/plugin-server/tests/worker/ingestion/property-definitions-auto-discovery.test.ts +++ /dev/null @@ -1,77 +0,0 @@ -import { PropertyType } from '../../../src/types' -import { detectPropertyDefinitionTypes } from '../../../src/worker/ingestion/property-definitions-auto-discovery' - -describe('property definitions auto discovery', () => { - describe('can detect numbers', () => { - it('can detect "10"', () => { - expect(detectPropertyDefinitionTypes('10', 'anything')).toEqual(PropertyType.String) - }) - - it('can detect 10', () => { - expect(detectPropertyDefinitionTypes(10, 'anything')).toEqual(PropertyType.Numeric) - }) - - it('can detect ""', () => { - expect(detectPropertyDefinitionTypes('', 'anything')).toEqual(PropertyType.String) - }) - - it('can detect null', () => { - expect(detectPropertyDefinitionTypes(null, 'anything')).toEqual(null) - }) - - it('can detect decimals', () => { - expect(detectPropertyDefinitionTypes(1.23, 'anything')).toEqual(PropertyType.Numeric) - }) - - it('can detect version numbers as non numeric', () => { - expect(detectPropertyDefinitionTypes('1.2.3', 'anything')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('9.7.0', '$app_version')).toEqual(PropertyType.String) - }) - }) - - describe('can detect feature flag properties', () => { - it('detects regular feature flag properties as string', () => { - expect(detectPropertyDefinitionTypes('10', '$feature/my-feature')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('true', '$feature/my-feature')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('false', '$feature/my-feature')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes(12, '$feature/my-feature')).toEqual(PropertyType.String) - }) - - it('doesnt detect $feature_interaction properties as string', () => { - expect(detectPropertyDefinitionTypes('true', '$feature_interaction/my-feature')).toEqual( - PropertyType.Boolean - ) - expect(detectPropertyDefinitionTypes('true', '$$feature/my-feature')).toEqual(PropertyType.Boolean) - expect(detectPropertyDefinitionTypes('true', ' $feature/my-feature')).toEqual(PropertyType.Boolean) - expect(detectPropertyDefinitionTypes('true', '$feat/$feature/my-feature')).toEqual(PropertyType.Boolean) - expect(detectPropertyDefinitionTypes('true', '$features/my-feature')).toEqual(PropertyType.Boolean) - expect(detectPropertyDefinitionTypes('["a","b","c"]', '$active_feature_flags')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes(12, 'feature_flag')).toEqual(PropertyType.Numeric) - }) - }) - - describe('can detect $feature_flag_response properties', () => { - it('detects regular feature flag response properties as string', () => { - expect(detectPropertyDefinitionTypes('10', '$feature_flag_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('true', '$feature_flag_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('false', '$feature_flag_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes(12, '$feature_flag_response')).toEqual(PropertyType.String) - }) - }) - - describe('can detect $survey_response (the first question in a given survey) properties and cast them to strings', () => { - it('detects regular survey response properties as string', () => { - expect(detectPropertyDefinitionTypes('10', '$survey_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('true', '$survey_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('false', '$survey_response')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes(12, '$survey_response')).toEqual(PropertyType.String) - }) - - it('detects $survey_response_* (any subsequent question in a given survey) as a string', () => { - expect(detectPropertyDefinitionTypes('10', '$survey_response_2')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('true', '$survey_response_2')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes('false', '$survey_response_2')).toEqual(PropertyType.String) - expect(detectPropertyDefinitionTypes(12, '$survey_response_2')).toEqual(PropertyType.String) - }) - }) -}) diff --git a/plugin-server/tests/worker/ingestion/property-definitions-cache.test.ts b/plugin-server/tests/worker/ingestion/property-definitions-cache.test.ts deleted file mode 100644 index e36c8f0a755bd..0000000000000 --- a/plugin-server/tests/worker/ingestion/property-definitions-cache.test.ts +++ /dev/null @@ -1,117 +0,0 @@ -import { Hub, PropertyDefinitionTypeEnum } from '../../../src/types' -import { closeHub, createHub } from '../../../src/utils/db/hub' -import { PostgresUse } from '../../../src/utils/db/postgres' -import { UUIDT } from '../../../src/utils/utils' -import { PropertyDefinitionsCache } from '../../../src/worker/ingestion/property-definitions-cache' -import { resetTestDatabase } from '../../helpers/sql' - -jest.mock('../../../src/utils/status') -jest.mock('../../../src/utils/posthog', () => ({ - posthog: { - identify: jest.fn(), - capture: jest.fn(), - }, -})) - -describe('PropertyDefinitionsManager()', () => { - let hub: Hub - let cache: PropertyDefinitionsCache - - beforeEach(async () => { - hub = await createHub() - await resetTestDatabase() - - cache = new PropertyDefinitionsCache(hub) - }) - - afterEach(async () => { - await closeHub(hub) - }) - - describe('with pre-existing data', () => { - beforeEach(async () => { - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, property_type, type, is_numerical, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, $3, $4, $5, $6, $7, $8)`, - [ - new UUIDT().toString(), - 'property_name', - 'String', - PropertyDefinitionTypeEnum.Event, - false, - null, - null, - 2, - ], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, property_type, type, is_numerical, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, $3, $4, $5, $6, $7, $8)`, - [ - new UUIDT().toString(), - 'numeric_prop', - 'String', - PropertyDefinitionTypeEnum.Event, - true, - null, - null, - 2, - ], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, property_type, type, is_numerical, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, $3, $4, $5, $6, $7, $8)`, - [ - new UUIDT().toString(), - 'person_prop', - 'String', - PropertyDefinitionTypeEnum.Person, - false, - null, - null, - 2, - ], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, property_type, type, is_numerical, volume_30_day, query_usage_30_day, team_id, group_type_index) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9)`, - [ - new UUIDT().toString(), - 'group_prop', - 'String', - PropertyDefinitionTypeEnum.Group, - false, - null, - null, - 2, - 0, - ], - 'testTag' - ) - }) - - it('initializes cleanly', async () => { - await cache.initialize(2, hub.db) - - expect(cache.propertyDefinitionsCache.get(2)!.keys()).toEqual( - expect.arrayContaining(['30group_prop', '2person_prop', '1numeric_prop', '1property_name']) - ) - }) - - it('reports correct shouldUpdate', async () => { - await cache.initialize(2, hub.db) - - expect(cache.shouldUpdate(2, 'property_name', PropertyDefinitionTypeEnum.Event, null)).toEqual(false) - expect(cache.shouldUpdate(2, 'numeric_prop', PropertyDefinitionTypeEnum.Event, null)).toEqual(false) - expect(cache.shouldUpdate(2, 'person_prop', PropertyDefinitionTypeEnum.Person, null)).toEqual(false) - expect(cache.shouldUpdate(2, 'group_prop', PropertyDefinitionTypeEnum.Group, 0)).toEqual(false) - - expect(cache.shouldUpdate(2, 'new_prop', PropertyDefinitionTypeEnum.Event, null)).toEqual(true) - expect(cache.shouldUpdate(2, 'new_person_prop', PropertyDefinitionTypeEnum.Person, null)).toEqual(true) - expect(cache.shouldUpdate(2, 'group_prop', PropertyDefinitionTypeEnum.Group, 1)).toEqual(true) - }) - }) -}) diff --git a/plugin-server/tests/worker/ingestion/property-definitions-manager.test.ts b/plugin-server/tests/worker/ingestion/property-definitions-manager.test.ts deleted file mode 100644 index 8ec4eaad75859..0000000000000 --- a/plugin-server/tests/worker/ingestion/property-definitions-manager.test.ts +++ /dev/null @@ -1,818 +0,0 @@ -import { DateTime, Settings } from 'luxon' - -import { DateTimePropertyTypeFormat, Hub, PropertyDefinitionTypeEnum, PropertyType } from '../../../src/types' -import { closeHub, createHub } from '../../../src/utils/db/hub' -import { PostgresUse } from '../../../src/utils/db/postgres' -import { posthog } from '../../../src/utils/posthog' -import { UUIDT } from '../../../src/utils/utils' -import { GroupTypeManager } from '../../../src/worker/ingestion/group-type-manager' -import { dateTimePropertyTypeFormatPatterns } from '../../../src/worker/ingestion/property-definitions-auto-discovery' -import { NULL_AFTER_PROPERTY_TYPE_DETECTION } from '../../../src/worker/ingestion/property-definitions-cache' -import { PropertyDefinitionsManager } from '../../../src/worker/ingestion/property-definitions-manager' -import { createOrganization, createTeam } from '../../helpers/sql' - -jest.mock('../../../src/utils/status') -jest.mock('../../../src/utils/posthog', () => ({ - posthog: { - identify: jest.fn(), - capture: jest.fn(), - }, -})) - -describe('PropertyDefinitionsManager()', () => { - let hub: Hub - let manager: PropertyDefinitionsManager - let teamId: number - let organizationId: string - let groupTypeManager: GroupTypeManager - - beforeEach(async () => { - hub = await createHub() - organizationId = await createOrganization(hub.db.postgres) - teamId = await createTeam(hub.db.postgres, organizationId) - groupTypeManager = new GroupTypeManager(hub.postgres, hub.teamManager, hub.SITE_URL) - manager = new PropertyDefinitionsManager(hub.teamManager, groupTypeManager, hub.db, hub) - - Settings.defaultZoneName = 'utc' - }) - - afterEach(async () => { - await closeHub(hub) - }) - - describe('updateEventNamesAndProperties()', () => { - describe('base tests', () => { - beforeEach(async () => { - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventdefinition (id, name, volume_30_day, query_usage_30_day, team_id, created_at) VALUES ($1, $2, $3, $4, $5, NOW())`, - [new UUIDT().toString(), '$pageview', 3, 2, teamId], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventdefinition (id, name, team_id, created_at, last_seen_at) VALUES ($1, $2, $3, NOW(), $4)`, - [new UUIDT().toString(), 'another_test_event', teamId, '2014-03-23T23:23:23Z'], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, type, is_numerical, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, $3, $4, $5, $6, $7)`, - [ - new UUIDT().toString(), - 'property_name', - PropertyDefinitionTypeEnum.Event, - false, - null, - null, - teamId, - ], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_propertydefinition (id, name, type, is_numerical, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, $3, $4, $5, $6, $7)`, - [ - new UUIDT().toString(), - 'numeric_prop', - PropertyDefinitionTypeEnum.Event, - true, - null, - null, - teamId, - ], - 'testTag' - ) - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventproperty (event, property, team_id) VALUES ($1, $2, $3)`, - ['new-event', 'numeric_prop', teamId], - 'testTag' - ) - }) - - it('updates event properties', async () => { - jest.spyOn(global.Date, 'now').mockImplementation(() => new Date('2020-02-27T11:00:36.000Z').getTime()) - - await manager.updateEventNamesAndProperties(teamId, 'new-event', { - property_name: 'efg', - number: 4, - numeric_prop: 5, - }) - - const eventDefinitions = await hub.db.fetchEventDefinitions(teamId) - - expect(eventDefinitions).toEqual([ - { - id: expect.any(String), - name: '$pageview', - query_usage_30_day: 2, - team_id: teamId, - volume_30_day: 3, - last_seen_at: null, - created_at: expect.any(String), - }, - { - id: expect.any(String), - name: 'another_test_event', - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - last_seen_at: '2014-03-23T23:23:23.000Z', // values are not updated directly - created_at: expect.any(String), - }, - { - id: expect.any(String), - name: 'new-event', - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - last_seen_at: '2020-02-27T11:00:36.000Z', // overridden Date.now() - created_at: expect.any(String), - }, - ]) - - for (const eventDef of eventDefinitions) { - if (eventDef.name === 'new-event') { - const parsedLastSeen = DateTime.fromISO(eventDef.last_seen_at) - expect(parsedLastSeen.diff(DateTime.now()).seconds).toBeCloseTo(0) - - const parsedCreatedAt = DateTime.fromISO(eventDef.created_at) - expect(parsedCreatedAt.diff(DateTime.now()).seconds).toBeCloseTo(0) - } - } - - expect(await hub.db.fetchEventProperties(teamId)).toEqual([ - { - id: expect.any(Number), - event: 'new-event', - property: 'number', - team_id: teamId, - }, - { - id: expect.any(Number), - event: 'new-event', - property: 'numeric_prop', - team_id: teamId, - }, - { - id: expect.any(Number), - event: 'new-event', - property: 'property_name', - team_id: teamId, - }, - ]) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - { - id: expect.any(String), - is_numerical: true, - name: 'number', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - { - id: expect.any(String), - is_numerical: true, - name: 'numeric_prop', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - { - id: expect.any(String), - is_numerical: false, - name: 'property_name', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Event, - group_type_index: null, - }, - ]) - }) - - it('sets or updates eventLastSeenCache', async () => { - jest.spyOn(global.Date, 'now').mockImplementation(() => new Date('2015-04-04T04:04:04.000Z').getTime()) - - expect(manager.eventLastSeenCache.length).toEqual(0) - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', {}) - expect(manager.eventLastSeenCache.length).toEqual(1) - expect(manager.eventLastSeenCache.get(`[${teamId},"another_test_event"]`)).toEqual(20150404) - - // Start tracking queries - const postgresQuery = jest.spyOn(manager.db.postgres, 'query') - - // New event, 10 sec later (all caches should be hit) - jest.spyOn(global.Date, 'now').mockImplementation(() => new Date('2015-04-04T04:04:14.000Z').getTime()) - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', {}) - expect(postgresQuery).not.toHaveBeenCalled() - - // New event, 1 day later (all caches should be empty) - jest.spyOn(global.Date, 'now').mockImplementation(() => new Date('2015-04-05T04:04:14.000Z').getTime()) - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', {}) - expect(postgresQuery).toHaveBeenCalledWith( - PostgresUse.COMMON_WRITE, - 'UPDATE posthog_eventdefinition SET last_seen_at=$1 WHERE team_id=$2 AND name=$3', - [DateTime.now(), teamId, 'another_test_event'], - 'updateEventLastSeenAt' - ) - - // Re-ingest, should add no queries - postgresQuery.mockClear() - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', {}) - expect(postgresQuery).not.toHaveBeenCalled() - - expect(manager.eventLastSeenCache.length).toEqual(1) - expect(manager.eventLastSeenCache.get(`[${teamId},"another_test_event"]`)).toEqual(20150405) - }) - - it('does not capture event', async () => { - await manager.updateEventNamesAndProperties(teamId, 'new-event', { property_name: 'efg', number: 4 }) - - expect(posthog.capture).not.toHaveBeenCalled() - }) - - it('handles cache invalidation properly', async () => { - await manager.teamManager.fetchTeam(teamId) - await manager.cacheEventNamesAndProperties(teamId, '$foobar') - await hub.db.postgres.query( - PostgresUse.COMMON_WRITE, - `INSERT INTO posthog_eventdefinition (id, name, volume_30_day, query_usage_30_day, team_id) VALUES ($1, $2, NULL, NULL, $3) ON CONFLICT DO NOTHING`, - [new UUIDT().toString(), '$foobar', teamId], - 'insertEventDefinition' - ) - - jest.spyOn(manager.teamManager, 'fetchTeam') - jest.spyOn(hub.db.postgres, 'query') - - // Scenario: Different request comes in, team gets reloaded in the background with no updates - await manager.updateEventNamesAndProperties(teamId, '$foobar', {}) - expect(manager.teamManager.fetchTeam).toHaveBeenCalledTimes(1) - expect(hub.db.postgres.query).toHaveBeenCalledTimes(1) - - // Scenario: Next request but a real update - jest.mocked(manager.teamManager.fetchTeam).mockClear() - jest.mocked(hub.db.postgres.query).mockClear() - - await manager.updateEventNamesAndProperties(teamId, '$newevent', {}) - expect(manager.teamManager.fetchTeam).toHaveBeenCalledTimes(1) - // extra query for `cacheEventNamesAndProperties` that we did manually before - expect(hub.db.postgres.query).toHaveBeenCalledTimes(2) - }) - }) - - it('saves person property definitions', async () => { - await manager.updateEventNamesAndProperties(teamId, 'new-event', { - $set: { - foo: 'bar', - }, - $set_once: { - numeric: 123, - }, - }) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - { - id: expect.any(String), - is_numerical: false, - name: 'foo', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Person, - group_type_index: null, - }, - { - id: expect.any(String), - is_numerical: true, - name: 'numeric', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Person, - group_type_index: null, - }, - ]) - }) - - it('saves group property definitions', async () => { - await groupTypeManager.insertGroupType(teamId, 'project', 0) - await groupTypeManager.insertGroupType(teamId, 'organization', 1) - - await manager.updateEventNamesAndProperties(teamId, '$groupidentify', { - $group_type: 'organization', - $group_key: 'org::5', - $group_set: { - foo: 'bar', - numeric: 3, - }, - }) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - { - id: expect.any(String), - is_numerical: false, - name: 'foo', - property_type: 'String', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Group, - group_type_index: 1, - }, - { - id: expect.any(String), - is_numerical: true, - name: 'numeric', - property_type: 'Numeric', - property_type_format: null, - query_usage_30_day: null, - team_id: teamId, - volume_30_day: null, - type: PropertyDefinitionTypeEnum.Group, - group_type_index: 1, - }, - ]) - }) - - it('regression tests: handles group set properties being empty', async () => { - // See details of the regression - // [here](https://posthog.slack.com/archives/C0460J93NBU/p1676384802876269) - // - // We were essentially failing and throwing a Sentry error if the - // group properties was no an object. This test would throw before - // the fix. - await groupTypeManager.insertGroupType(teamId, 'project', 0) - await groupTypeManager.insertGroupType(teamId, 'organization', 1) - - await manager.updateEventNamesAndProperties(teamId, '$groupidentify', { - $group_type: 'organization', - $group_key: 'org::5', - $group_set: null, - }) - }) - - it('regression tests: handles group type property being empty', async () => { - await groupTypeManager.insertGroupType(teamId, 'project', 0) - await groupTypeManager.insertGroupType(teamId, 'organization', 1) - - await manager.updateEventNamesAndProperties(teamId, '$groupidentify', { - $group_key: 'org::5', - $group_set: { - foo: 'bar', - numeric: 3, - }, - }) - }) - - it('regression tests: 400 characters fit in property definitions', async () => { - await groupTypeManager.insertGroupType(teamId, 'project', 0) - await groupTypeManager.insertGroupType(teamId, 'organization', 1) - - const fourHundredSmileys = '😀'.repeat(400) - const properties = {} - properties[fourHundredSmileys] = 'foo' - await manager.updateEventNamesAndProperties(teamId, fourHundredSmileys, properties) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: fourHundredSmileys, - is_numerical: false, - property_type: 'String', - }), - ]) - }) - - it('regression tests: >400 characters are ignored in property definitions', async () => { - await groupTypeManager.insertGroupType(teamId, 'project', 0) - await groupTypeManager.insertGroupType(teamId, 'organization', 1) - - const fourHundredAndOneSmileys = '😀'.repeat(401) - const properties = {} - properties[fourHundredAndOneSmileys] = 'foo' - - // Note that this shouldn't throw, the large values are just skipped. - await manager.updateEventNamesAndProperties(teamId, fourHundredAndOneSmileys, properties) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([]) - }) - - describe('auto-detection of property types', () => { - const randomInteger = () => Math.floor(Math.random() * 1000) + 1 - const randomString = () => [...Array(10)].map(() => (~~(Math.random() * 36)).toString(36)).join('') - - it('adds no type for objects', async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - anObjectProperty: { anything: randomInteger() }, - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1anObjectProperty')).toEqual( - NULL_AFTER_PROPERTY_TYPE_DETECTION - ) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: 'anObjectProperty', - is_numerical: false, - property_type: null, - }), - ]) - }) - - const boolTestCases = [ - true, - false, - 'true', - 'false', - 'True', - 'False', - 'TRUE', - 'FALSE', - ' true ', - ' false', - 'true ', - ] - boolTestCases.forEach((testcase) => { - it(`identifies ${testcase} as a boolean`, async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - some_bool: testcase, - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1some_bool')).toEqual('Boolean') - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: 'some_bool', - is_numerical: false, - property_type: 'Boolean', - }), - ]) - }) - }) - - // i.e. not using truthiness to detect whether something is boolean - const notBoolTestCases = [0, 1, '0', '1', 'yes', 'no', null, undefined, '', [], ' '] - notBoolTestCases.forEach((testcase) => { - it(`does not identify ${testcase} as a boolean`, async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - some_bool: testcase, - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1some_bool')).not.toEqual('Boolean') - }) - }) - - it('identifies a numeric type', async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - some_number: randomInteger(), - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1some_number')).toEqual('Numeric') - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: 'some_number', - is_numerical: true, - property_type: 'Numeric', - }), - ]) - }) - - it('identifies a numeric type sent as a string... as a string', async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - some_number: String(randomInteger()), - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1some_number')).toEqual('String') - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: 'some_number', - property_type: 'String', - }), - ]) - }) - - it('identifies a string type', async () => { - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', { - some_string: randomString(), - }) - - expect(manager.propertyDefinitionsCache.get(teamId)?.peek('1some_string')).toEqual('String') - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: 'some_string', - is_numerical: false, - property_type: 'String', - }), - ]) - }) - - // there are several cases that can be identified as timestamps - // and each might match with time or timestamp in the property key - // but won't match if neither is in it - const unixTimestampTestCases = [ - { - propertyKey: 'unix timestamp with fractional seconds as a number', - date: 1234567890.123, - expectedPropertyType: PropertyType.DateTime, - }, - { - propertyKey: 'unix timestamp with five decimal places of fractional seconds as a number', - date: 1234567890.12345, - expectedPropertyType: PropertyType.DateTime, - }, - { - propertyKey: 'unix timestamp as a number', - date: 1234567890, - expectedPropertyType: PropertyType.DateTime, - }, - { - propertyKey: 'unix timestamp with fractional seconds as a string', - date: '1234567890.123', - expectedPropertyType: PropertyType.String, - }, - { - propertyKey: 'unix timestamp with five decimal places of fractional seconds as a string', - date: '1234567890.12345', - expectedPropertyType: PropertyType.String, - }, - { - propertyKey: 'unix timestamp as a string', - date: '1234567890', - expectedPropertyType: PropertyType.String, - }, - { - propertyKey: 'unix timestamp in milliseconds as a number', - date: 1234567890123, - expectedPropertyType: PropertyType.DateTime, - }, - { - propertyKey: 'unix timestamp in milliseconds as a string', - date: '1234567890123', - expectedPropertyType: PropertyType.String, - }, - ].flatMap((testcase) => { - const toEdit = testcase - - const toMatchWithJustTimeInName = { - ...toEdit, - propertyKey: testcase.propertyKey.replace('timestamp', 'time'), - } - - const toNotMatch = { - ...toEdit, - propertyKey: toEdit.propertyKey.replace('timestamp', 'as a string'), - expectedPropertyType: typeof toEdit.date === 'number' ? PropertyType.Numeric : PropertyType.String, - } - - return [testcase, toMatchWithJustTimeInName, toNotMatch] - }) - - unixTimestampTestCases.forEach((testcase) => { - it(`with key ${testcase.propertyKey} matches ${testcase.date} as ${testcase.expectedPropertyType}`, async () => { - const properties: Record = {} - properties[testcase.propertyKey] = testcase.date - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', properties) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: testcase.propertyKey, - is_numerical: testcase.expectedPropertyType === PropertyType.Numeric, - property_type: testcase.expectedPropertyType, - }), - ]) - }) - }) - - // most datetimes can be identified by replacing the date parts with numbers - // RFC 822 formatted dates as it has a short name for the month instead of a two-digit number - const dateTimeFormatTestCases: { - propertyKey: string - date: string - }[] = Object.keys(dateTimePropertyTypeFormatPatterns).flatMap((patternEnum: string) => { - const patternDescription: string = - DateTimePropertyTypeFormat[patternEnum as keyof typeof DateTimePropertyTypeFormat] - if (patternDescription === 'rfc_822') { - return { - propertyKey: 'an_rfc_822_format_date', - date: 'Wed, 02 Oct 2002 15:00:00 +0200', - } - } else if (patternDescription === DateTimePropertyTypeFormat.ISO8601_DATE) { - return [ - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233056+00', - date: '2022-01-15T11:18:49.233056+00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233056-00', - date: '2022-01-15T11:18:49.233056-00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233056+04', - date: '2022-01-15T11:18:49.233056+04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233056-04', - date: '2022-01-15T11:18:49.233056-04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233056z', - date: '2022-01-15T11:18:49.233056z', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233+00:00', - date: '2022-01-15T11:18:49.233+00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233-00:00', - date: '2022-01-15T11:18:49.233-00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233+04:00', - date: '2022-01-15T11:18:49.233+04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233-04:00', - date: '2022-01-15T11:18:49.233-04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49.233z', - date: '2022-01-15T11:18:49.233z', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49+00:00', - date: '2022-01-15T11:18:49+00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49-00:00', - date: '2022-01-15T11:18:49-00:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49+04:00', - date: '2022-01-15T11:18:49+04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49-04:00', - date: '2022-01-15T11:18:49-04:00', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49z', - date: '2022-01-15T11:18:49z', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49+11', - date: '2022-01-15T11:18:49+11', - }, - { - propertyKey: 'an_iso_8601_format_date_2022-01-15T11:18:49+0530', - date: '2022-01-15T11:18:49+0530', - }, - ] - } else { - const date = patternDescription - .replace('YYYY', '2021') - .replace('MM', '04') - .replace('DD', '01') - .replace('hh', '13') - .replace('mm', '01') - .replace('ss', '01') - - //iso timestamps can have fractional parts of seconds - if (date.includes('T')) { - return [ - { propertyKey: patternDescription, date }, - { propertyKey: patternDescription, date: date.replace('Z', '.243Z') }, - ] - } else { - return { propertyKey: patternDescription, date } - } - } - }) - - dateTimeFormatTestCases.forEach((testcase) => { - it(`matches ${testcase.date} as DateTime`, async () => { - const properties: Record = {} - properties[testcase.propertyKey] = testcase.date - await manager.updateEventNamesAndProperties(teamId, 'another_test_event', properties) - - expect(await hub.db.fetchPropertyDefinitions(teamId)).toEqual([ - expect.objectContaining({ - id: expect.any(String), - team_id: teamId, - name: testcase.propertyKey, - is_numerical: false, - property_type: PropertyType.DateTime, - }), - ]) - }) - }) - - it('does identify type if the property was previously saved with no type', async () => { - await manager.db.postgres.query( - PostgresUse.COMMON_WRITE, - 'INSERT INTO posthog_propertydefinition (id, name, type, is_numerical, volume_30_day, query_usage_30_day, team_id, property_type) VALUES ($1, $2, $3, $4, NULL, NULL, $5, $6)', - [new UUIDT().toString(), 'a_timestamp', PropertyDefinitionTypeEnum.Event, false, teamId, null], - 'testTag' - ) - - await manager.updateEventNamesAndProperties(teamId, 'a_test_event', { - a_timestamp: 1234567890, - }) - - const results = await manager.db.postgres.query( - PostgresUse.COMMON_WRITE, - ` - SELECT property_type from posthog_propertydefinition - where name=$1 - `, - ['a_timestamp'], - 'queryForProperty' - ) - expect(results.rows[0]).toEqual({ property_type: 'DateTime' }) - }) - - it('does not replace property type if the property was previously saved with a different type', async () => { - await manager.db.postgres.query( - PostgresUse.COMMON_WRITE, - 'INSERT INTO posthog_propertydefinition (id, name, type, is_numerical, volume_30_day, query_usage_30_day, team_id, property_type) VALUES ($1, $2, $3, $4, NULL, NULL, $5, $6)', - [ - new UUIDT().toString(), - 'a_prop_with_type', - PropertyDefinitionTypeEnum.Event, - false, - teamId, - PropertyType.DateTime, - ], - 'testTag' - ) - - await manager.updateEventNamesAndProperties(teamId, 'a_test_event', { - a_prop_with_type: 1234567890, - }) - - const results = await manager.db.postgres.query( - PostgresUse.COMMON_WRITE, - ` - SELECT property_type from posthog_propertydefinition - where name=$1 - `, - ['a_prop_with_type'], - 'queryForProperty' - ) - expect(results.rows[0]).toEqual({ - property_type: PropertyType.DateTime, - }) - }) - - it('does not keep trying to set a property type when it cannot', async () => { - const postgresQuery = jest.spyOn(hub.db.postgres, 'query') - - const properties = { - a_prop_with_a_type_we_do_not_set: { a: 1234567890 }, - } - await manager.updateEventNamesAndProperties(teamId, 'a_test_event', properties) - - // 7 calls to DB to set up team manager and updateEventNamesAndProperties - expect(postgresQuery.mock.calls).toHaveLength(7) - - await manager.updateEventNamesAndProperties(teamId, 'a_test_event', properties) - - // no more calls to DB as everything is cached - expect(postgresQuery.mock.calls).toHaveLength(7) - }) - }) - }) -}) From aca1baedf089b53ff436e2cd94c93c5bf798ba4e Mon Sep 17 00:00:00 2001 From: Sandy Spicer Date: Mon, 9 Sep 2024 02:29:32 -0700 Subject: [PATCH 34/66] fix: big int in events query (#24847) --- posthog/hogql_queries/events_query_runner.py | 4 +-- .../test/test_events_query_runner.py | 28 +++++++++++++++++++ 2 files changed, 30 insertions(+), 2 deletions(-) diff --git a/posthog/hogql_queries/events_query_runner.py b/posthog/hogql_queries/events_query_runner.py index c1ebe56127a0b..034a888158329 100644 --- a/posthog/hogql_queries/events_query_runner.py +++ b/posthog/hogql_queries/events_query_runner.py @@ -1,10 +1,10 @@ -import json from datetime import timedelta from typing import Optional from dateutil.parser import isoparse from django.db.models import Prefetch from django.utils.timezone import now +import orjson from posthog.api.element import ElementSerializer from posthog.api.utils import get_pk_or_uuid @@ -206,7 +206,7 @@ def calculate(self) -> EventsQueryResponse: self.paginator.results[index] = list(result) select = result[star_idx] new_result = dict(zip(SELECT_STAR_FROM_EVENTS_FIELDS, select)) - new_result["properties"] = json.loads(new_result["properties"]) + new_result["properties"] = orjson.loads(new_result["properties"]) if new_result["elements_chain"]: new_result["elements"] = ElementSerializer( chain_to_elements(new_result["elements_chain"]), many=True diff --git a/posthog/hogql_queries/test/test_events_query_runner.py b/posthog/hogql_queries/test/test_events_query_runner.py index f42fe3dc65755..70c447b48a174 100644 --- a/posthog/hogql_queries/test/test_events_query_runner.py +++ b/posthog/hogql_queries/test/test_events_query_runner.py @@ -156,3 +156,31 @@ def test_test_account_filters(self): right_expr = cast(ast.Constant, where_expr.right) self.assertEqual(right_expr.value, "%posthog.com%") self.assertEqual(where_expr.op, CompareOperationOp.NotILike) + + def test_big_int(self): + BIG_INT = 2**159 - 24 + self._create_events( + data=[ + ( + "p_null", + "2020-01-11T12:00:04Z", + {"boolean_field": None, "bigInt": BIG_INT}, + ), + ] + ) + + flush_persons_and_events() + + with freeze_time("2020-01-11T12:01:00"): + query = EventsQuery( + after="-24h", + event="$pageview", + kind="EventsQuery", + orderBy=["timestamp ASC"], + select=["*"], + ) + + runner = EventsQueryRunner(query=query, team=self.team) + response = runner.run() + assert isinstance(response, CachedEventsQueryResponse) + assert response.results[0][0]["properties"]["bigInt"] == float(BIG_INT) From 431d733e574250fc4ace6f14037a4c5a0a5092fa Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Mon, 9 Sep 2024 11:58:43 +0200 Subject: [PATCH 35/66] fix(docs): Document insights API `refresh` param correctly (#24830) --- posthog/api/insight.py | 42 ++++++++++++------- posthog/hogql_queries/query_runner.py | 60 +++++++++++++-------------- 2 files changed, 58 insertions(+), 44 deletions(-) diff --git a/posthog/api/insight.py b/posthog/api/insight.py index 1b753e9171cfa..2509a8c097395 100644 --- a/posthog/api/insight.py +++ b/posthog/api/insight.py @@ -11,7 +11,7 @@ from django.utils.timezone import now from django_filters.rest_framework import DjangoFilterBackend from drf_spectacular.types import OpenApiTypes -from drf_spectacular.utils import OpenApiParameter, OpenApiResponse +from drf_spectacular.utils import OpenApiParameter, OpenApiResponse, extend_schema_view from loginas.utils import is_impersonated_session from prometheus_client import Counter from rest_framework import request, serializers, status, viewsets @@ -64,7 +64,11 @@ from posthog.hogql_queries.legacy_compatibility.flagged_conversion_manager import ( conversion_to_query_based, ) -from posthog.hogql_queries.query_runner import execution_mode_from_refresh, shared_insights_execution_mode +from posthog.hogql_queries.query_runner import ( + ExecutionMode, + execution_mode_from_refresh, + shared_insights_execution_mode, +) from posthog.kafka_client.topics import KAFKA_METRICS_TIME_TO_SEE_DATA from posthog.models import DashboardTile, Filter, Insight, User from posthog.models.activity_logging.activity_log import ( @@ -627,6 +631,21 @@ def dashboard_tile_from_context(self, insight: Insight, dashboard: Optional[Dash return dashboard_tile +@extend_schema_view( + list=extend_schema( + parameters=[ + OpenApiParameter( + name="refresh", + enum=list(ExecutionMode), + default=ExecutionMode.CACHE_ONLY_NEVER_CALCULATE, + description=""" +Whether to refresh the retrieved insights and how aggressively. (The default `force_cache` value never refreshes.) +If an `_async` mode is chosen, this request kicks off a background query and returns immediately. +Background calculation can be tracked using the `query_status` response field.""", + ) + ] + ), +) class InsightViewSet( TeamAndOrgViewSetMixin, TaggedItemViewSetMixin, @@ -783,24 +802,19 @@ def _filter_request(self, request: request.Request, queryset: QuerySet) -> Query parameters=[ OpenApiParameter( name="refresh", - type=OpenApiTypes.BOOL, + enum=list(ExecutionMode), + default=ExecutionMode.CACHE_ONLY_NEVER_CALCULATE, description=""" - The client can request that an insight be refreshed by setting the `refresh=true` parameter. - The server will then decide if the data should or not be refreshed based on a set of heuristics - meant to determine the staleness of cached data. The result will contain as `is_cached` field - that indicates whether the insight was actually refreshed or not through the request.""", +Whether to refresh the insight and how aggressively. (The default `force_cache` value never refreshes.) +If an `_async` mode is chosen, this request kicks off a background query and returns immediately. +Background calculation can be tracked using the `query_status` response field.""", ), OpenApiParameter( name="from_dashboard", type=OpenApiTypes.INT, description=""" -When loading an insight for a dashboard pass a `from_dashboard` query parameter containing the dashboard ID - -e.g. `"/api/projects/{team_id}/insights/{insight_id}?from_dashboard={dashboard_id}"` - -Insights can be added to more than one dashboard, this allows the insight to be loaded in the correct context. - -Using the correct cache and enriching the response with dashboard specific config (e.g. layouts or colors)""", +Only if loading an insight in the context of a dashboard: The relevant dashboard's ID. +When set, the specified dashboard's filters and date range override will be applied.""", ), ], ) diff --git a/posthog/hogql_queries/query_runner.py b/posthog/hogql_queries/query_runner.py index 824e2e1e91177..ef9a0944e55f7 100644 --- a/posthog/hogql_queries/query_runner.py +++ b/posthog/hogql_queries/query_runner.py @@ -1,6 +1,6 @@ from abc import ABC, abstractmethod from datetime import datetime, timedelta, UTC -from enum import IntEnum +from enum import StrEnum from typing import Any, Generic, Optional, TypeVar, Union, cast, TypeGuard import structlog @@ -74,48 +74,48 @@ EXTENDED_CACHE_AGE = timedelta(days=1) -class ExecutionMode(IntEnum): # Keep integer values the same for Celery's sake - CALCULATE_BLOCKING_ALWAYS = 5 +class ExecutionMode(StrEnum): + CALCULATE_BLOCKING_ALWAYS = "force_blocking" """Always recalculate.""" - CALCULATE_ASYNC_ALWAYS = 4 + CALCULATE_ASYNC_ALWAYS = "force_async" """Always kick off async calculation.""" - RECENT_CACHE_CALCULATE_BLOCKING_IF_STALE = 3 + RECENT_CACHE_CALCULATE_BLOCKING_IF_STALE = "blocking" """Use cache, unless the results are missing or stale.""" - RECENT_CACHE_CALCULATE_ASYNC_IF_STALE = 2 + RECENT_CACHE_CALCULATE_ASYNC_IF_STALE = "async" """Use cache, kick off async calculation when results are missing or stale.""" - EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE = 1 + EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE = "lazy_async" """Use cache for longer, kick off async calculation when results are missing or stale.""" - CACHE_ONLY_NEVER_CALCULATE = 0 + CACHE_ONLY_NEVER_CALCULATE = "force_cache" """Do not initiate calculation.""" +_REFRESH_TO_EXECUTION_MODE: dict[str | bool, ExecutionMode] = { + **ExecutionMode._value2member_map_, # type: ignore + True: ExecutionMode.CALCULATE_BLOCKING_ALWAYS, +} + + def execution_mode_from_refresh(refresh_requested: bool | str | None) -> ExecutionMode: - refresh_map = { - "blocking": ExecutionMode.RECENT_CACHE_CALCULATE_BLOCKING_IF_STALE, - "async": ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE, - "lazy_async": ExecutionMode.EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE, - "force_async": ExecutionMode.CALCULATE_ASYNC_ALWAYS, - "force_blocking": ExecutionMode.CALCULATE_BLOCKING_ALWAYS, - "force_cache": ExecutionMode.CACHE_ONLY_NEVER_CALCULATE, - True: ExecutionMode.CALCULATE_BLOCKING_ALWAYS, - } - if refresh_requested in refresh_map: - return refresh_map[refresh_requested] + if refresh_requested: + if execution_mode := _REFRESH_TO_EXECUTION_MODE.get(refresh_requested): + return execution_mode return ExecutionMode.CACHE_ONLY_NEVER_CALCULATE +_SHARED_MODE_WHITELIST = { + # Cache only is default refresh mode - remap to async so shared insights stay fresh + ExecutionMode.CACHE_ONLY_NEVER_CALCULATE: ExecutionMode.EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE, + # Legacy refresh=true - but on shared insights, we don't give the ability to refresh at will + # TODO: Adjust once shared insights can poll for async query_status + ExecutionMode.CALCULATE_BLOCKING_ALWAYS: ExecutionMode.RECENT_CACHE_CALCULATE_BLOCKING_IF_STALE, + # Allow regular async + ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE: ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE, + # - All others fall back to extended cache - +} + + def shared_insights_execution_mode(execution_mode: ExecutionMode) -> ExecutionMode: - shared_mode_whitelist = { - # Cache only is default refresh mode - remap to async so shared insights stay fresh - ExecutionMode.CACHE_ONLY_NEVER_CALCULATE: ExecutionMode.EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE, - # Legacy refresh=true - but on shared insights, we don't give the ability to refresh at will - # TODO: Adjust once shared insights can poll for async query_status - ExecutionMode.CALCULATE_BLOCKING_ALWAYS: ExecutionMode.RECENT_CACHE_CALCULATE_BLOCKING_IF_STALE, - # Allow regular async - ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE: ExecutionMode.RECENT_CACHE_CALCULATE_ASYNC_IF_STALE, - # - All others fall back to extended cache - - } - return shared_mode_whitelist.get(execution_mode, ExecutionMode.EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE) + return _SHARED_MODE_WHITELIST.get(execution_mode, ExecutionMode.EXTENDED_CACHE_CALCULATE_ASYNC_IF_STALE) RunnableQueryNode = Union[ From 338686a20d669ef881365eb053fd0fef482ad4c0 Mon Sep 17 00:00:00 2001 From: Robbie Date: Mon, 9 Sep 2024 11:27:29 +0100 Subject: [PATCH 36/66] fix(web-analytics): Fix infinite loop when setting the date range to the last 180 days (#24857) --- .../web-analytics/webAnalyticsLogic.tsx | 23 +++++++++++++++---- 1 file changed, 18 insertions(+), 5 deletions(-) diff --git a/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx b/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx index 2db3b94cefed9..69f5f27680c29 100644 --- a/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx +++ b/frontend/src/scenes/web-analytics/webAnalyticsLogic.tsx @@ -237,6 +237,11 @@ export const webAnalyticsLogic = kea([ setGeographyTab: (tab: string) => ({ tab }), setDates: (dateFrom: string | null, dateTo: string | null) => ({ dateFrom, dateTo }), setInterval: (interval: IntervalType) => ({ interval }), + setDatesAndInterval: (dateFrom: string | null, dateTo: string | null, interval: IntervalType) => ({ + dateFrom, + dateTo, + interval, + }), setIsPathCleaningEnabled: (isPathCleaningEnabled: boolean) => ({ isPathCleaningEnabled }), setShouldFilterTestAccounts: (shouldFilterTestAccounts: boolean) => ({ shouldFilterTestAccounts, @@ -421,6 +426,17 @@ export const webAnalyticsLogic = kea([ interval, } }, + setDatesAndInterval: (_, { dateTo, dateFrom, interval }) => { + if (!dateFrom && !dateTo) { + dateFrom = initialDateFrom + dateTo = initialDateTo + } + return { + dateTo, + dateFrom, + interval: interval || getDefaultInterval(dateFrom, dateTo), + } + }, setStateFromUrl: (_, { state: { dateTo, dateFrom, interval } }) => { if (!dateFrom && !dateTo) { dateFrom = initialDateFrom @@ -1541,11 +1557,8 @@ export const webAnalyticsLogic = kea([ if (parsedFilters) { actions.setWebAnalyticsFilters(parsedFilters) } - if (date_from || date_to) { - actions.setDates(date_from, date_to) - } - if (interval) { - actions.setInterval(interval) + if (date_from || date_to || interval) { + actions.setDatesAndInterval(date_from, date_to, interval) } if (device_tab) { actions.setDeviceTab(device_tab) From 6f17af91275fc30c5e3d9a95f80225674217b9c5 Mon Sep 17 00:00:00 2001 From: David Newell Date: Mon, 9 Sep 2024 12:49:13 +0100 Subject: [PATCH 37/66] feat: group status & assignee actions (#24821) --- ...layer-success--recent-recordings--dark.png | Bin 58833 -> 58474 bytes ...es-app-errortracking--group-page--dark.png | Bin 103666 -> 108192 bytes ...s-app-errortracking--group-page--light.png | Bin 103781 -> 108431 bytes ...nes-app-errortracking--list-page--dark.png | Bin 47575 -> 48870 bytes ...es-app-errortracking--list-page--light.png | Bin 48340 -> 49587 bytes frontend/src/lib/api.ts | 2 +- .../scenes/error-tracking/AssigneeSelect.tsx | 45 +++++++++++++ .../ErrorTrackingGroupScene.tsx | 61 +++++++++++++++++- 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api = { errorTracking: { async update( fingerprint: ErrorTrackingGroup['fingerprint'], - data: Partial> + data: Partial> ): Promise { return await new ApiRequest().errorTrackingGroup(fingerprint).update({ data }) }, diff --git a/frontend/src/scenes/error-tracking/AssigneeSelect.tsx b/frontend/src/scenes/error-tracking/AssigneeSelect.tsx new file mode 100644 index 0000000000000..c45ab1afac27d --- /dev/null +++ b/frontend/src/scenes/error-tracking/AssigneeSelect.tsx @@ -0,0 +1,45 @@ +import { IconPerson } from '@posthog/icons' +import { LemonButton, LemonButtonProps, ProfilePicture } from '@posthog/lemon-ui' +import { MemberSelect } from 'lib/components/MemberSelect' +import { fullName } from 'lib/utils' + +import { ErrorTrackingGroup } from '../../queries/schema' + +export const AssigneeSelect = ({ + assignee, + onChange, + showName = false, + ...buttonProps +}: { + assignee: ErrorTrackingGroup['assignee'] + onChange: (userId: number | null) => void + showName?: boolean +} & Partial>): JSX.Element => { + return ( + { + const assigneeId = user?.id || null + onChange(assigneeId) + }} + > + {(user) => ( + + ) : ( + + ) + } + sideIcon={null} + {...buttonProps} + > + {showName ? {user ? fullName(user) : 'Unassigned'} : null} + + )} + + ) +} diff --git a/frontend/src/scenes/error-tracking/ErrorTrackingGroupScene.tsx b/frontend/src/scenes/error-tracking/ErrorTrackingGroupScene.tsx index 0ba40d7b258ab..715b917e9a206 100644 --- a/frontend/src/scenes/error-tracking/ErrorTrackingGroupScene.tsx +++ b/frontend/src/scenes/error-tracking/ErrorTrackingGroupScene.tsx @@ -1,10 +1,16 @@ import './ErrorTracking.scss' -import { LemonDivider } from '@posthog/lemon-ui' +import { LemonButton, LemonDivider } from '@posthog/lemon-ui' +import { useActions, useValues } from 'kea' +import { PageHeader } from 'lib/components/PageHeader' import { base64Decode } from 'lib/utils' +import { useEffect } from 'react' import { SceneExport } from 'scenes/sceneTypes' import { SessionPlayerModal } from 'scenes/session-recordings/player/modal/SessionPlayerModal' +import { ErrorTrackingGroup } from '~/queries/schema' + +import { AssigneeSelect } from './AssigneeSelect' import ErrorTrackingFilters from './ErrorTrackingFilters' import { errorTrackingGroupSceneLogic } from './errorTrackingGroupSceneLogic' import { OverviewTab } from './groups/OverviewTab' @@ -17,9 +23,62 @@ export const scene: SceneExport = { }), } +const STATUS_LABEL: Record = { + active: 'Active', + archived: 'Archived', + resolved: 'Resolved', + pending_release: 'Pending release', +} + export function ErrorTrackingGroupScene(): JSX.Element { + const { group, groupLoading } = useValues(errorTrackingGroupSceneLogic) + const { updateGroup, loadGroup } = useActions(errorTrackingGroupSceneLogic) + + useEffect(() => { + // don't like doing this but scene logics do not unmount after being loaded + // so this refreshes the group on each page visit in case any changes occurred + if (!groupLoading) { + loadGroup() + } + }, []) + return ( <> + + updateGroup({ assignee })} + type="secondary" + showName + /> +

+

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+ ) : ( + updateGroup({ status: 'active' })} + tooltip="Mark as active" + > + {STATUS_LABEL[group.status]} + + ) + ) : ( + false + ) + } + /> diff --git a/frontend/src/scenes/error-tracking/ErrorTrackingScene.tsx b/frontend/src/scenes/error-tracking/ErrorTrackingScene.tsx index 0b0a6db0a9fb9..2024b835a8188 100644 --- a/frontend/src/scenes/error-tracking/ErrorTrackingScene.tsx +++ b/frontend/src/scenes/error-tracking/ErrorTrackingScene.tsx @@ -1,10 +1,8 @@ import { TZLabel } from '@posthog/apps-common' -import { IconPerson } from '@posthog/icons' -import { LemonButton, LemonCheckbox, LemonDivider, LemonSegmentedButton, ProfilePicture } from '@posthog/lemon-ui' +import { LemonButton, LemonCheckbox, LemonDivider, LemonSegmentedButton } from '@posthog/lemon-ui' import clsx from 'clsx' import { BindLogic, useActions, useValues } from 'kea' import { FeedbackNotice } from 'lib/components/FeedbackNotice' -import { MemberSelect } from 'lib/components/MemberSelect' import { LemonTableLink } from 'lib/lemon-ui/LemonTable/LemonTableLink' import { SceneExport } from 'scenes/sceneTypes' import { urls } from 'scenes/urls' @@ -15,6 +13,7 @@ import { ErrorTrackingGroup } from '~/queries/schema' import { QueryContext, QueryContextColumnComponent, QueryContextColumnTitleComponent } from '~/queries/types' import { InsightLogicProps } from '~/types' +import { AssigneeSelect } from './AssigneeSelect' import { errorTrackingDataNodeLogic } from './errorTrackingDataNodeLogic' import ErrorTrackingFilters from './ErrorTrackingFilters' import { errorTrackingLogic } from './errorTrackingLogic' @@ -40,8 +39,10 @@ export function ErrorTrackingScene(): JSX.Element { render: CustomGroupTitleColumn, }, occurrences: { align: 'center' }, + sessions: { align: 'center' }, + users: { align: 'center' }, volume: { renderTitle: CustomVolumeColumnHeader }, - assignee: { render: AssigneeColumn, align: 'center' }, + assignee: { render: AssigneeColumn }, }, showOpenEditorButton: false, insightProps: insightProps, @@ -151,26 +152,11 @@ const AssigneeColumn: QueryContextColumnComponent = (props) => { const record = props.record as ErrorTrackingGroup return ( - { - const assigneeId = user?.id || null - assignGroup(props.recordIndex, assigneeId) - }} - > - {(user) => ( - - ) : ( - - ) - } - /> - )} - +
+ assignGroup(props.recordIndex, assigneeId)} + /> +
) } diff --git a/frontend/src/scenes/error-tracking/errorTrackingGroupSceneLogic.ts b/frontend/src/scenes/error-tracking/errorTrackingGroupSceneLogic.ts index af9ba29f04255..4279f0456f80a 100644 --- a/frontend/src/scenes/error-tracking/errorTrackingGroupSceneLogic.ts +++ b/frontend/src/scenes/error-tracking/errorTrackingGroupSceneLogic.ts @@ -1,4 +1,4 @@ -import { actions, afterMount, connect, kea, listeners, path, props, reducers, selectors } from 'kea' +import { actions, connect, kea, listeners, path, props, reducers, selectors } from 'kea' import { loaders } from 'kea-loaders' import { actionToUrl, router, urlToAction } from 'kea-router' import api from 'lib/api' @@ -45,6 +45,7 @@ export const errorTrackingGroupSceneLogic = kea ({ tab }), setActiveEventUUID: (uuid: ErrorTrackingEvent['uuid']) => ({ uuid }), + updateGroup: (group: Partial>) => ({ group }), }), reducers(() => ({ @@ -73,13 +74,20 @@ export const errorTrackingGroupSceneLogic = kea { + const response = await api.errorTracking.update(props.fingerprint, group) + return { ...values.group, ...response } + }, }, ], events: [ @@ -166,8 +174,4 @@ export const errorTrackingGroupSceneLogic = kea { - actions.loadGroup() - }), ]) diff --git a/posthog/api/error_tracking.py b/posthog/api/error_tracking.py index 7538c93d7248d..d8a9a5aeb68d1 100644 --- a/posthog/api/error_tracking.py +++ b/posthog/api/error_tracking.py @@ -13,7 +13,7 @@ class ErrorTrackingGroupSerializer(serializers.ModelSerializer): class Meta: model = ErrorTrackingGroup - fields = ["assignee"] + fields = ["assignee", "status"] class ErrorTrackingGroupViewSet(TeamAndOrgViewSetMixin, ForbidDestroyModel, viewsets.ModelViewSet): From e317d3979d4524daeabe2500db5ea438f109765f Mon Sep 17 00:00:00 2001 From: PostHog Bot <69588470+posthog-bot@users.noreply.github.com> Date: Mon, 9 Sep 2024 08:05:34 -0400 Subject: [PATCH 38/66] chore(deps): Update posthog-js to 1.161.0 (#24860) Co-authored-by: posthog-bot --- package.json | 2 +- pnpm-lock.yaml | 14 +++++++------- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/package.json b/package.json index baaebf5affda2..68299b73b864f 100644 --- a/package.json +++ b/package.json @@ -149,7 +149,7 @@ "pmtiles": "^2.11.0", "postcss": "^8.4.31", "postcss-preset-env": "^9.3.0", - "posthog-js": "1.160.3", + "posthog-js": "1.161.0", "posthog-js-lite": "3.0.0", "prettier": "^2.8.8", "prop-types": "^15.7.2", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 9109a24ea042e..2bc645782463a 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -269,8 +269,8 @@ dependencies: specifier: ^9.3.0 version: 9.3.0(postcss@8.4.31) posthog-js: - specifier: 1.160.3 - version: 1.160.3 + specifier: 1.161.0 + version: 1.161.0 posthog-js-lite: specifier: 3.0.0 version: 3.0.0 @@ -15394,7 +15394,7 @@ packages: image-size: 0.5.5 make-dir: 2.1.0 mime: 1.6.0 - native-request: 1.1.0 + native-request: 1.1.2 source-map: 0.6.1 dev: true @@ -16130,8 +16130,8 @@ packages: engines: {node: ^10 || ^12 || ^13.7 || ^14 || >=15.0.1} hasBin: true - /native-request@1.1.0: - resolution: {integrity: sha512-uZ5rQaeRn15XmpgE0xoPL8YWqcX90VtCFglYwAgkvKM5e8fog+vePLAhHxuuv/gRkrQxIeh5U3q9sMNUrENqWw==} + /native-request@1.1.2: + resolution: {integrity: sha512-/etjwrK0J4Ebbcnt35VMWnfiUX/B04uwGJxyJInagxDqf2z5drSt/lsOvEMWGYunz1kaLZAFrV4NDAbOoDKvAQ==} requiresBuild: true dev: true optional: true @@ -17674,8 +17674,8 @@ packages: resolution: {integrity: sha512-dyajjnfzZD1tht4N7p7iwf7nBnR1MjVaVu+MKr+7gBgA39bn28wizCIJZztZPtHy4PY0YwtSGgwfBCuG/hnHgA==} dev: false - /posthog-js@1.160.3: - resolution: {integrity: sha512-mGvxOIlWPtdPx8EI0MQ81wNKlnH2K0n4RqwQOl044b34BCKiFVzZ7Hc7geMuZNaRAvCi5/5zyGeWHcAYZQxiMQ==} + /posthog-js@1.161.0: + resolution: {integrity: sha512-P17q2s77/p7QPWrIhp9uAXVaLT8SwrdNh6W2QOilAMllOYMxD6Lzj4C8JW3NeqlL+nGbViCPpLmkUWuvWnGVLQ==} dependencies: fflate: 0.4.8 preact: 10.23.2 From be3d8f0bf2756d277e0cfaa644ec765d06c6c832 Mon Sep 17 00:00:00 2001 From: Marcus Hof <13001502+MarconLP@users.noreply.github.com> Date: Mon, 9 Sep 2024 14:24:26 +0200 Subject: [PATCH 39/66] feat(cdp): add avo template (#24705) --- frontend/public/services/avo.png | Bin 0 -> 6764 bytes posthog/cdp/templates/__init__.py | 2 + posthog/cdp/templates/avo/template_avo.py | 126 ++++++++++++++++ .../cdp/templates/avo/test_template_avo.py | 140 ++++++++++++++++++ 4 files changed, 268 insertions(+) create mode 100644 frontend/public/services/avo.png create mode 100644 posthog/cdp/templates/avo/template_avo.py create mode 100644 posthog/cdp/templates/avo/test_template_avo.py diff --git a/frontend/public/services/avo.png b/frontend/public/services/avo.png new file mode 100644 index 0000000000000000000000000000000000000000..521158b35aa683f9445c3eff66906242eeea9400 GIT binary patch literal 6764 zcmc(DXIN8h*X5y!pcs*k6s0Q72WbI;JfMPrbO=od2nY!(ARwrbC{_A{ARr1zjr3kr zAcjyBL^=pc2^|4VXhukKzT@}KyffE3f99G$bFORuIp@xOvhKas-fJK53-}d?0$Bck 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) from .zapier.template_zapier import template as zapier from .mailgun.template_mailgun import template_mailgun_send_email as mailgun +from .avo.template_avo import template as avo from .loops.template_loops import template as loops from .rudderstack.template_rudderstack import template as rudderstack @@ -36,6 +37,7 @@ mailgun, loops, rudderstack, + avo, ] diff --git a/posthog/cdp/templates/avo/template_avo.py b/posthog/cdp/templates/avo/template_avo.py new file mode 100644 index 0000000000000..98997294e63e8 --- /dev/null +++ b/posthog/cdp/templates/avo/template_avo.py @@ -0,0 +1,126 @@ +from posthog.cdp.templates.hog_function_template import HogFunctionTemplate + + +template: HogFunctionTemplate = HogFunctionTemplate( + status="beta", + id="template-avo", + name="Send events to Avo", + description="Send events to Avo", + icon_url="/static/services/avo.png", + hog=""" +if (empty(inputs.apiKey) or empty(inputs.environment)) { + print('API Key and environment has to be set. Skipping...') + return +} + +let avoEvent := { + 'apiKey': inputs.apiKey, + 'env': inputs.environment, + 'appName': inputs.appName, + 'sessionId': event.properties.$session_id ?? generateUUIDv4(), + 'createdAt': toString(toDateTime(toUnixTimestamp(now()))), + 'avoFunction': false, + 'eventId': null, + 'eventHash': null, + 'appVersion': '1.0.0', + 'libVersion': '1.0.0', + 'libPlatform': 'node', + 'trackingId': '', + 'samplingRate': 1, + 'type': 'event', + 'eventName': event.name, + 'messageId': event.uuid, + 'eventProperties': [] +} + +fn getPropValueType(propValue) { + let propType := typeof(propValue) + if (propValue == null) { + return 'null' + } else if (propType == 'string') { + return 'string' + } else if (propType == 'integer') { + return 'int' + } else if (propType == 'float') { + return 'float' + } else if (propType == 'boolean') { + return 'boolean' + } else if (propType == 'object') { + return 'object' + } else if (propType == 'array') { + return 'list' + } else { + return propType + } +} + +for (let key, value in event.properties) { + let excludeProperties := arrayMap(x -> trim(x), splitByString(',', inputs.excludeProperties)) + let includeProperties := arrayMap(x -> trim(x), splitByString(',', inputs.includeProperties)) + let isExcluded := has(excludeProperties, key) + let isIncluded := includeProperties[1] == '' or has(includeProperties, key) + + if (not (key like '$%' or isExcluded or not isIncluded)) { + avoEvent.eventProperties := arrayPushBack(avoEvent.eventProperties, { 'propertyName': key, 'propertyType': getPropValueType(value) }) + } +} + +fetch('https://api.avo.app/inspector/posthog/v1/track', { + 'method': 'POST', + 'headers': { + 'env': inputs.environment, + 'api-key': inputs.apiKey, + 'content-type': 'application/json', + 'accept': 'application/json', + }, + 'body': [avoEvent] +}) +""".strip(), + inputs_schema=[ + { + "key": "apiKey", + "type": "string", + "label": "Avo API Key", + "description": "Avo source API key", + "default": "", + "secret": True, + "required": True, + }, + { + "key": "environment", + "type": "string", + "label": "Environment", + "description": "Environment name", + "default": "dev", + "secret": False, + "required": False, + }, + { + "key": "appName", + "type": "string", + "label": "App name", + "description": "App name", + "default": "PostHog", + "secret": False, + "required": False, + }, + { + "key": "excludeProperties", + "type": "string", + "label": "Properties to exclude", + "description": "Comma-separated list of event properties that will not be sent to Avo.", + "default": "", + "secret": False, + "required": False, + }, + { + "key": "includeProperties", + "type": "string", + "label": "Properties to include", + "description": "Comma separated list of event properties to send to Avo (will send all if left empty).", + "default": "", + "secret": False, + "required": False, + }, + ], +) diff --git a/posthog/cdp/templates/avo/test_template_avo.py b/posthog/cdp/templates/avo/test_template_avo.py new file mode 100644 index 0000000000000..f62e20f124a91 --- /dev/null +++ b/posthog/cdp/templates/avo/test_template_avo.py @@ -0,0 +1,140 @@ +from inline_snapshot import snapshot +from posthog.cdp.templates.helpers import BaseHogFunctionTemplateTest +from posthog.cdp.templates.avo.template_avo import template as template_avo + + +class TestTemplateAvo(BaseHogFunctionTemplateTest): + template = template_avo + + def _inputs(self, **kwargs): + inputs = { + "apiKey": "NnBd7B55ZXC6o0Kh20pE", + "environment": "dev", + "appName": "PostHog", + "excludeProperties": "", + "includeProperties": "", + } + inputs.update(kwargs) + return inputs + + def test_function_works(self): + self.run_function( + inputs=self._inputs(), + globals={ + "event": { + "uuid": "0191c693-d93b-7516-b1e3-64ec33c96464", + "distinct_id": "66e614bd-d9f2-491e-9e2c-eeab3090f72f", + "name": "sign up", + "properties": { + "distinct_id": "66e614bd-d9f2-491e-9e2c-eeab3090f72f", + "token": "phc_ex7Mnvi4DqeB6xSQoXU1UVPzAmUIpicMFKELQXGGTYQO", + "bob": {"name": "bob"}, + "age": 99, + "name": "bob", + "items": ["apple", "stick"], + "job": True, + "noop": None, + "test": 1.4, + }, + }, + "person": { + "properties": {"email": "max@posthog.com", "name": "Max", "company": "PostHog"}, + }, + }, + ) + + res = self.get_mock_fetch_calls()[0] + res[1]["body"][0]["sessionId"] = "4d4454b4-31bb-4b13-8167-4ec76a0f49b6" + res[1]["body"][0]["createdAt"] = "2024-09-06T09:04:28.324Z" + assert res == snapshot( + ( + "https://api.avo.app/inspector/posthog/v1/track", + { + "method": "POST", + "headers": { + "env": "dev", + "api-key": "NnBd7B55ZXC6o0Kh20pE", + "content-type": "application/json", + "accept": "application/json", + }, + "body": [ + { + "apiKey": "NnBd7B55ZXC6o0Kh20pE", + "env": "dev", + "appName": "PostHog", + "sessionId": "4d4454b4-31bb-4b13-8167-4ec76a0f49b6", + "createdAt": "2024-09-06T09:04:28.324Z", + "avoFunction": False, + "eventId": None, + "eventHash": None, + "appVersion": "1.0.0", + "libVersion": "1.0.0", + "libPlatform": "node", + "trackingId": "", + "samplingRate": 1, + "type": "event", + "eventName": "sign up", + "messageId": "0191c693-d93b-7516-b1e3-64ec33c96464", + "eventProperties": [ + {"propertyName": "distinct_id", "propertyType": "string"}, + {"propertyName": "token", "propertyType": "string"}, + {"propertyName": "bob", "propertyType": "object"}, + {"propertyName": "age", "propertyType": "int"}, + {"propertyName": "name", "propertyType": "string"}, + {"propertyName": "items", "propertyType": "list"}, + {"propertyName": "job", "propertyType": "boolean"}, + {"propertyName": "noop", "propertyType": "null"}, + {"propertyName": "test", "propertyType": "float"}, + ], + } + ], + }, + ) + ) + + def test_automatic_type_mapping(self): + for property_value, expected_type in [ + # (None, "null"), + ("Bob", "string"), + (99, "int"), + (1.4, "float"), + (True, "boolean"), + ({"name": "Bob"}, "object"), + ([1, 2, 3], "list"), + ]: + self.run_function( + inputs=self._inputs(), + globals={ + "event": {"name": "sign up", "properties": {"test": property_value}}, + }, + ) + + res = self.get_mock_fetch_calls()[0] + assert res[1]["body"][0]["eventProperties"][0]["propertyType"] == expected_type + + def test_property_filters(self): + # [excludeProperties, includeProperties], expected properties array + for filters, expected_result in [ + [["name", ""], ["company", "job"]], + [[" name ", ""], ["company", "job"]], + [["name", "name"], []], + [["", "name,company"], ["name", "company"]], + ]: + self.run_function( + inputs={ + "apiKey": "NnBd7B55ZXC6o0Kh20pE", + "environment": "dev", + "appName": "PostHog", + "excludeProperties": filters[0], + "includeProperties": filters[1], + }, + globals={ + "event": { + "name": "sign up", + "properties": {"name": "Max", "company": "PostHog", "job": "Product Engineer"}, + }, + }, + ) + + res = self.get_mock_fetch_calls()[0][1]["body"][0]["eventProperties"] + assert [item["propertyName"] for item in res] == expected_result From 6221da0f2f242d8ad8b02b0714e86b40e877c222 Mon Sep 17 00:00:00 2001 From: Juraj Majerik Date: Mon, 9 Sep 2024 14:35:59 +0200 Subject: [PATCH 40/66] feat(experiments): set up experiment result query runner (#24842) --- frontend/src/queries/schema.json | 185 ++++++++++++++++++ frontend/src/queries/schema.ts | 32 +++ .../scenes/saved-insights/SavedInsights.tsx | 7 + .../experiment_result_query_runner.py | 76 +++++++ posthog/hogql_queries/query_runner.py | 11 ++ .../test_experiment_result_query_runner.py | 112 +++++++++++ posthog/schema.py | 113 ++++++++++- 7 files changed, 526 insertions(+), 10 deletions(-) create mode 100644 posthog/hogql_queries/experiment_result_query_runner.py create mode 100644 posthog/hogql_queries/test/test_experiment_result_query_runner.py diff --git a/frontend/src/queries/schema.json b/frontend/src/queries/schema.json index 21975bff8d9ba..6637873bcf9a0 100644 --- a/frontend/src/queries/schema.json +++ b/frontend/src/queries/schema.json @@ -505,6 +505,9 @@ }, { "$ref": "#/definitions/ErrorTrackingQuery" + }, + { + "$ref": "#/definitions/ExperimentResultQuery" } ] }, @@ -3092,6 +3095,40 @@ }, "required": ["results"], "type": "object" + }, + { + "additionalProperties": false, + "properties": { + "insight": { + "const": "TRENDS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantTrendResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" + }, + { + "additionalProperties": false, + "properties": { + "insight": { + "const": "FUNNELS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantFunnelResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" } ] }, @@ -3203,6 +3240,9 @@ }, { "$ref": "#/definitions/ErrorTrackingQuery" + }, + { + "$ref": "#/definitions/ExperimentResultQuery" } ], "description": "Source of the events" @@ -4315,6 +4355,107 @@ "required": ["columns", "hogql", "results", "types"], "type": "object" }, + "ExperimentResultFunnelQueryResponse": { + "additionalProperties": false, + "properties": { + "insight": { + "const": "FUNNELS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantFunnelResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" + }, + "ExperimentResultQuery": { + "additionalProperties": false, + "properties": { + "kind": { + "const": "ExperimentResultQuery", + "type": "string" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "response": { + "$ref": "#/definitions/ExperimentResultQueryResponse" + }, + "source": { + "anyOf": [ + { + "$ref": "#/definitions/TrendsQuery" + }, + { + "$ref": "#/definitions/FunnelsQuery" + } + ] + }, + "variants": { + "items": { + "type": "string" + }, + "type": "array" + } + }, + "required": ["kind", "source", "variants"], + "type": "object" + }, + "ExperimentResultQueryResponse": { + "anyOf": [ + { + "$ref": "#/definitions/ExperimentResultTrendQueryResponse" + }, + { + "$ref": "#/definitions/ExperimentResultFunnelQueryResponse" + } + ] + }, + "ExperimentResultTrendQueryResponse": { + "additionalProperties": false, + "properties": { + "insight": { + "const": "TRENDS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantTrendResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" + }, + "ExperimentVariantFunnelResult": { + "additionalProperties": false, + "properties": { + "failure_count": { + "type": "number" + }, + "success_count": { + "type": "number" + } + }, + "required": ["success_count", "failure_count"], + "type": "object" + }, + "ExperimentVariantTrendResult": { + "additionalProperties": false, + "properties": { + "count": { + "type": "number" + } + }, + "required": ["count"], + "type": "object" + }, "ExperimentalAITrendsQuery": { "additionalProperties": false, "properties": { @@ -6567,6 +6708,7 @@ "RecordingsQuery", "SessionAttributionExplorerQuery", "ErrorTrackingQuery", + "ExperimentResultQuery", "DataTableNode", "DataVisualizationNode", "SavedInsightNode", @@ -7777,6 +7919,12 @@ "required": ["results"], "type": "object" }, + { + "$ref": "#/definitions/ExperimentResultTrendQueryResponse" + }, + { + "$ref": "#/definitions/ExperimentResultFunnelQueryResponse" + }, { "properties": {}, "type": "object" @@ -8268,6 +8416,40 @@ "required": ["results"], "type": "object" }, + { + "additionalProperties": false, + "properties": { + "insight": { + "const": "TRENDS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantTrendResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" + }, + { + "additionalProperties": false, + "properties": { + "insight": { + "const": "FUNNELS", + "type": "string" + }, + "results": { + "additionalProperties": { + "$ref": "#/definitions/ExperimentVariantFunnelResult" + }, + "type": "object" + } + }, + "required": ["insight", "results"], + "type": "object" + }, { "additionalProperties": false, "properties": { @@ -8628,6 +8810,9 @@ { "$ref": "#/definitions/ErrorTrackingQuery" }, + { + "$ref": "#/definitions/ExperimentResultQuery" + }, { "$ref": "#/definitions/DataVisualizationNode" }, diff --git a/frontend/src/queries/schema.ts b/frontend/src/queries/schema.ts index ef32de28a3cc5..e0fc7602a7d27 100644 --- a/frontend/src/queries/schema.ts +++ b/frontend/src/queries/schema.ts @@ -74,6 +74,7 @@ export enum NodeKind { RecordingsQuery = 'RecordingsQuery', SessionAttributionExplorerQuery = 'SessionAttributionExplorerQuery', ErrorTrackingQuery = 'ErrorTrackingQuery', + ExperimentResultQuery = 'ExperimentResultQuery', // Interface nodes DataTableNode = 'DataTableNode', @@ -120,6 +121,7 @@ export type AnyDataNode = | WebGoalsQuery | SessionAttributionExplorerQuery | ErrorTrackingQuery + | ExperimentResultQuery /** * @discriminator kind @@ -145,6 +147,7 @@ export type QuerySchema = | WebGoalsQuery | SessionAttributionExplorerQuery | ErrorTrackingQuery + | ExperimentResultQuery // Interface nodes | DataVisualizationNode @@ -564,6 +567,7 @@ export interface DataTableNode | WebGoalsQuery | SessionAttributionExplorerQuery | ErrorTrackingQuery + | ExperimentResultQuery )['response'] > >, @@ -582,6 +586,7 @@ export interface DataTableNode | WebGoalsQuery | SessionAttributionExplorerQuery | ErrorTrackingQuery + | ExperimentResultQuery /** Columns shown in the table, unless the `source` provides them. */ columns?: HogQLExpression[] /** Columns that aren't shown in the table, even if in columns or returned data */ @@ -1501,6 +1506,33 @@ export type InsightQueryNode = | StickinessQuery | LifecycleQuery +export interface ExperimentVariantTrendResult { + count: number +} + +export interface ExperimentVariantFunnelResult { + success_count: number + failure_count: number +} + +export interface ExperimentResultTrendQueryResponse { + insight: InsightType.TRENDS + results: Record +} + +export interface ExperimentResultFunnelQueryResponse { + insight: InsightType.FUNNELS + results: Record +} + +export type ExperimentResultQueryResponse = ExperimentResultTrendQueryResponse | ExperimentResultFunnelQueryResponse + +export interface ExperimentResultQuery extends DataNode { + kind: NodeKind.ExperimentResultQuery + source: TrendsQuery | FunnelsQuery + variants: string[] +} + /** * @discriminator kind */ diff --git a/frontend/src/scenes/saved-insights/SavedInsights.tsx b/frontend/src/scenes/saved-insights/SavedInsights.tsx index 1ef05e3b953aa..ae49c29efdfb6 100644 --- a/frontend/src/scenes/saved-insights/SavedInsights.tsx +++ b/frontend/src/scenes/saved-insights/SavedInsights.tsx @@ -4,6 +4,7 @@ import { IconBrackets, IconCorrelationAnalysis, IconCursor, + IconFlask, IconFunnels, IconGraph, IconHogQL, @@ -328,6 +329,12 @@ export const QUERY_TYPES_METADATA: Record = { icon: IconVideoCamera, inMenu: false, }, + [NodeKind.ExperimentResultQuery]: { + name: 'Experiment Result', + description: 'View experiment result', + icon: IconFlask, + inMenu: false, + }, } export const INSIGHT_TYPE_OPTIONS: LemonSelectOptions = [ diff --git a/posthog/hogql_queries/experiment_result_query_runner.py b/posthog/hogql_queries/experiment_result_query_runner.py new file mode 100644 index 0000000000000..7dcec0d11a9de --- /dev/null +++ b/posthog/hogql_queries/experiment_result_query_runner.py @@ -0,0 +1,76 @@ +from posthog.hogql import ast +from posthog.hogql_queries.query_runner import QueryRunner, get_query_runner +from posthog.schema import ( + ExperimentResultFunnelQueryResponse, + ExperimentResultQuery, + ExperimentResultTrendQueryResponse, + ExperimentVariantTrendResult, + ExperimentVariantFunnelResult, + TrendsQuery, + FunnelsQuery, +) +from typing import Any, Union + +from posthog.models.filters.mixins.utils import cached_property + + +class ExperimentResultQueryRunner(QueryRunner): + query: ExperimentResultQuery + + @cached_property + def source_runner(self) -> QueryRunner: + return get_query_runner(self.query.source, self.team, self.timings, self.limit_context) + + def calculate(self) -> Union[ExperimentResultTrendQueryResponse, ExperimentResultFunnelQueryResponse]: + source_query = self.query.source + if isinstance(source_query, TrendsQuery): + return self._calculate_trends() + elif isinstance(source_query, FunnelsQuery): + return self._calculate_funnels() + else: + raise ValueError(f"Unsupported query type: {type(source_query)}") + + def _calculate_trends(self) -> ExperimentResultTrendQueryResponse: + trends_response = self.source_runner.calculate() + results = self._process_trends_results(trends_response.results) + return ExperimentResultTrendQueryResponse(insight="TRENDS", results=results) + + def _calculate_funnels(self) -> ExperimentResultFunnelQueryResponse: + funnels_response = self.source_runner.calculate() + results = self._process_funnels_results(funnels_response.results) + return ExperimentResultFunnelQueryResponse(insight="FUNNELS", results=results) + + def _process_trends_results(self, trends_results: list[dict[str, Any]]) -> dict[str, ExperimentVariantTrendResult]: + variants = self.query.variants + processed_results = {variant: ExperimentVariantTrendResult(count=0) for variant in variants} + + for result in trends_results: + variant = result.get("breakdown_value") + if variant in variants: + processed_results[variant].count += result.get("count", 0) + + return processed_results + + def _process_funnels_results( + self, funnels_results: list[list[dict[str, Any]]] + ) -> dict[str, ExperimentVariantFunnelResult]: + variants = self.query.variants + processed_results = { + variant: ExperimentVariantFunnelResult(success_count=0, failure_count=0) for variant in variants + } + + for result in funnels_results: + first_step = result[0] + last_step = result[-1] + variant = first_step.get("breakdown_value") + variant_str = variant[0] if isinstance(variant, list) else str(variant) + if variant_str in variants: + total_count = first_step.get("count", 0) + success_count = last_step.get("count", 0) if len(result) > 1 else 0 + processed_results[variant_str].success_count = success_count + processed_results[variant_str].failure_count = total_count - success_count + + return processed_results + + def to_query(self) -> ast.SelectQuery: + raise ValueError(f"Cannot convert source query of type {self.query.source.kind} to query") diff --git a/posthog/hogql_queries/query_runner.py b/posthog/hogql_queries/query_runner.py index ef9a0944e55f7..ff630f05e17ce 100644 --- a/posthog/hogql_queries/query_runner.py +++ b/posthog/hogql_queries/query_runner.py @@ -352,6 +352,17 @@ def get_query_runner( limit_context=limit_context, ) + if kind == "ExperimentResultQuery": + from .experiment_result_query_runner import ExperimentResultQueryRunner + + return ExperimentResultQueryRunner( + query=query, + team=team, + timings=timings, + modifiers=modifiers, + limit_context=limit_context, + ) + raise ValueError(f"Can't get a runner for an unknown query kind: {kind}") diff --git a/posthog/hogql_queries/test/test_experiment_result_query_runner.py b/posthog/hogql_queries/test/test_experiment_result_query_runner.py new file mode 100644 index 0000000000000..f58e90358bd5c --- /dev/null +++ b/posthog/hogql_queries/test/test_experiment_result_query_runner.py @@ -0,0 +1,112 @@ +from posthog.hogql_queries.experiment_result_query_runner import ExperimentResultQueryRunner +from posthog.schema import ( + BreakdownFilter, + EventsNode, + ExperimentResultQuery, + FunnelsQuery, + TrendsQuery, + ExperimentResultFunnelQueryResponse, + ExperimentResultTrendQueryResponse, +) +from posthog.test.base import APIBaseTest, ClickhouseTestMixin, _create_event, _create_person, flush_persons_and_events +from freezegun import freeze_time +from typing import cast + + +class TestExperimentResultQueryRunner(ClickhouseTestMixin, APIBaseTest): + def setUp(self): + super().setUp() + + def test_experiment_result_query_runner_FUNNEL(self): + feature_flag_property = f"$feature/test-experiment" + + with freeze_time("2020-01-10 12:00:00"): + for variant, purchase_count in [("control", 6), ("test", 8)]: + for i in range(10): + _create_person(distinct_ids=[f"user_{variant}_{i}"], team_id=self.team.pk) + _create_event( + team=self.team, + event="$pageview", + distinct_id=f"user_{variant}_{i}", + timestamp="2020-01-02T12:00:00Z", + properties={feature_flag_property: variant}, + ) + if i < purchase_count: + _create_event( + team=self.team, + event="purchase", + distinct_id=f"user_{variant}_{i}", + timestamp="2020-01-02T12:01:00Z", + properties={feature_flag_property: variant}, + ) + + flush_persons_and_events() + + funnels_query = FunnelsQuery( + series=[EventsNode(event="$pageview"), EventsNode(event="purchase")], + dateRange={"date_from": "2020-01-01", "date_to": "2020-01-14"}, + breakdownFilter=BreakdownFilter(breakdown=feature_flag_property), + ) + experiment_query = ExperimentResultQuery( + kind="ExperimentResultQuery", source=funnels_query, variants=["control", "test"] + ) + + runner = ExperimentResultQueryRunner(query=experiment_query, team=self.team) + result = runner.calculate() + + self.assertEqual(result.insight, "FUNNELS") + self.assertEqual(len(result.results), 2) + + funnel_result = cast(ExperimentResultFunnelQueryResponse, result) + + self.assertIn("control", funnel_result.results) + self.assertIn("test", funnel_result.results) + + control_result = funnel_result.results["control"] + test_result = funnel_result.results["test"] + + self.assertEqual(control_result.success_count, 6) + self.assertEqual(control_result.failure_count, 4) + self.assertEqual(test_result.success_count, 8) + self.assertEqual(test_result.failure_count, 2) + + def test_experiment_result_query_runner_TRENDS(self): + feature_flag_property = f"$feature/test-experiment" + + for variant, count in [("control", 11), ("test", 15)]: + for i in range(count): + with freeze_time("2020-01-10 12:00:00"): + _create_event( + team=self.team, + event="$pageview", + distinct_id=f"user_{variant}_{i}", + properties={feature_flag_property: variant}, + ) + flush_persons_and_events() + + trends_query = TrendsQuery( + kind="TrendsQuery", + series=[EventsNode(event="$pageview")], + dateRange={"date_from": "2020-01-01", "date_to": "2020-01-14"}, + breakdownFilter=BreakdownFilter(breakdown=feature_flag_property), + ) + experiment_query = ExperimentResultQuery( + kind="ExperimentResultQuery", source=trends_query, variants=["control", "test"] + ) + + runner = ExperimentResultQueryRunner(query=experiment_query, team=self.team) + result = runner.calculate() + + self.assertEqual(result.insight, "TRENDS") + self.assertEqual(len(result.results), 2) + + trend_result = cast(ExperimentResultTrendQueryResponse, result) + + self.assertIn("control", trend_result.results) + self.assertIn("test", trend_result.results) + + control_result = trend_result.results["control"] + test_result = trend_result.results["test"] + + self.assertEqual(control_result.count, 11) + self.assertEqual(test_result.count, 15) diff --git a/posthog/schema.py b/posthog/schema.py index 4de97ea0c1f36..ac7f2681b48a6 100644 --- a/posthog/schema.py +++ b/posthog/schema.py @@ -495,6 +495,21 @@ class EventsQueryPersonColumn(BaseModel): uuid: str +class ExperimentVariantFunnelResult(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + failure_count: float + success_count: float + + +class ExperimentVariantTrendResult(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + count: float + + class FilterLogicalOperator(StrEnum): AND_ = "AND" OR_ = "OR" @@ -802,6 +817,7 @@ class NodeKind(StrEnum): RECORDINGS_QUERY = "RecordingsQuery" SESSION_ATTRIBUTION_EXPLORER_QUERY = "SessionAttributionExplorerQuery" ERROR_TRACKING_QUERY = "ErrorTrackingQuery" + EXPERIMENT_RESULT_QUERY = "ExperimentResultQuery" DATA_TABLE_NODE = "DataTableNode" DATA_VISUALIZATION_NODE = "DataVisualizationNode" SAVED_INSIGHT_NODE = "SavedInsightNode" @@ -963,6 +979,22 @@ class QueryResponseAlternative7(BaseModel): warnings: list[HogQLNotice] +class QueryResponseAlternative24(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["TRENDS"] = "TRENDS" + results: dict[str, ExperimentVariantTrendResult] + + +class QueryResponseAlternative25(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["FUNNELS"] = "FUNNELS" + results: dict[str, ExperimentVariantFunnelResult] + + class QueryStatus(BaseModel): model_config = ConfigDict( extra="forbid", @@ -2347,6 +2379,22 @@ class Response8(BaseModel): ) +class Response9(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["TRENDS"] = "TRENDS" + results: dict[str, ExperimentVariantTrendResult] + + +class Response10(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["FUNNELS"] = "FUNNELS" + results: dict[str, ExperimentVariantFunnelResult] + + class DataWarehousePersonPropertyFilter(BaseModel): model_config = ConfigDict( extra="forbid", @@ -2476,6 +2524,22 @@ class EventsQueryResponse(BaseModel): types: list[str] +class ExperimentResultFunnelQueryResponse(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["FUNNELS"] = "FUNNELS" + results: dict[str, ExperimentVariantFunnelResult] + + +class ExperimentResultTrendQueryResponse(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + insight: Literal["TRENDS"] = "TRENDS" + results: dict[str, ExperimentVariantTrendResult] + + class BreakdownFilter1(BaseModel): model_config = ConfigDict( extra="forbid", @@ -3301,7 +3365,7 @@ class QueryResponseAlternative23(BaseModel): ) -class QueryResponseAlternative24(BaseModel): +class QueryResponseAlternative26(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3323,7 +3387,7 @@ class QueryResponseAlternative24(BaseModel): ) -class QueryResponseAlternative25(BaseModel): +class QueryResponseAlternative27(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3345,7 +3409,7 @@ class QueryResponseAlternative25(BaseModel): ) -class QueryResponseAlternative27(BaseModel): +class QueryResponseAlternative29(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -3366,7 +3430,7 @@ class QueryResponseAlternative27(BaseModel): ) -class QueryResponseAlternative30(BaseModel): +class QueryResponseAlternative32(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -4365,7 +4429,7 @@ class PropertyGroupFilterValue(BaseModel): ] -class QueryResponseAlternative26(BaseModel): +class QueryResponseAlternative28(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -5178,7 +5242,7 @@ class LifecycleQuery(BaseModel): ) -class QueryResponseAlternative31(BaseModel): +class QueryResponseAlternative33(BaseModel): model_config = ConfigDict( extra="forbid", ) @@ -5211,6 +5275,8 @@ class QueryResponseAlternative( QueryResponseAlternative12, QueryResponseAlternative13, QueryResponseAlternative14, + ExperimentResultTrendQueryResponse, + ExperimentResultFunnelQueryResponse, Any, QueryResponseAlternative15, QueryResponseAlternative16, @@ -5225,8 +5291,10 @@ class QueryResponseAlternative( QueryResponseAlternative25, QueryResponseAlternative26, QueryResponseAlternative27, - QueryResponseAlternative30, - QueryResponseAlternative31, + QueryResponseAlternative28, + QueryResponseAlternative29, + QueryResponseAlternative32, + QueryResponseAlternative33, ] ] ): @@ -5246,6 +5314,8 @@ class QueryResponseAlternative( QueryResponseAlternative12, QueryResponseAlternative13, QueryResponseAlternative14, + ExperimentResultTrendQueryResponse, + ExperimentResultFunnelQueryResponse, Any, QueryResponseAlternative15, QueryResponseAlternative16, @@ -5260,8 +5330,10 @@ class QueryResponseAlternative( QueryResponseAlternative25, QueryResponseAlternative26, QueryResponseAlternative27, - QueryResponseAlternative30, - QueryResponseAlternative31, + QueryResponseAlternative28, + QueryResponseAlternative29, + QueryResponseAlternative32, + QueryResponseAlternative33, ] @@ -5280,6 +5352,19 @@ class DatabaseSchemaQueryResponse(BaseModel): ] +class ExperimentResultQuery(BaseModel): + model_config = ConfigDict( + extra="forbid", + ) + kind: Literal["ExperimentResultQuery"] = "ExperimentResultQuery" + modifiers: Optional[HogQLQueryModifiers] = Field( + default=None, description="Modifiers used when performing the query" + ) + response: Optional[Union[ExperimentResultTrendQueryResponse, ExperimentResultFunnelQueryResponse]] = None + source: Union[TrendsQuery, FunnelsQuery] + variants: list[str] + + class FunnelPathsFilter(BaseModel): model_config = ConfigDict( extra="forbid", @@ -5553,6 +5638,8 @@ class DataTableNode(BaseModel): Response6, Response7, Response8, + Response9, + Response10, ] ] = None showActions: Optional[bool] = Field(default=None, description="Show the kebab menu at the end of the row") @@ -5593,6 +5680,7 @@ class DataTableNode(BaseModel): WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, ] = Field(..., description="Source of the events") @@ -5630,6 +5718,7 @@ class HogQLAutocomplete(BaseModel): WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, ] ] = Field(default=None, description="Query in whose context to validate.") startPosition: int = Field(..., description="Start position of the editor word") @@ -5671,6 +5760,7 @@ class HogQLMetadata(BaseModel): WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, ] ] = Field( default=None, @@ -5714,6 +5804,7 @@ class QueryRequest(BaseModel): WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, DataVisualizationNode, DataTableNode, SavedInsightNode, @@ -5761,6 +5852,7 @@ class QuerySchemaRoot( WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, DataVisualizationNode, DataTableNode, SavedInsightNode, @@ -5796,6 +5888,7 @@ class QuerySchemaRoot( WebGoalsQuery, SessionAttributionExplorerQuery, ErrorTrackingQuery, + ExperimentResultQuery, DataVisualizationNode, DataTableNode, SavedInsightNode, From bb122d15e2f1fab49b0240b786ee3b027c2bbcad Mon Sep 17 00:00:00 2001 From: Robbie Date: Mon, 9 Sep 2024 14:25:39 +0100 Subject: [PATCH 41/66] feat(web-analytics): Improve the outbound link clicks tile (#24748) --- .../queries/nodes/DataTable/queryFeatures.ts | 2 + frontend/src/queries/schema.json | 361 ++++++++++++++++++ frontend/src/queries/schema.ts | 21 + frontend/src/queries/utils.ts | 4 + .../scenes/saved-insights/SavedInsights.tsx | 6 + .../web-analytics/tiles/WebAnalyticsTile.tsx | 35 ++ .../web-analytics/webAnalyticsLogic.tsx | 23 +- posthog/hogql_queries/query_runner.py | 11 + .../web_analytics/external_clicks.py | 119 ++++++ .../test/test_external_clicks_table.py | 211 ++++++++++ .../web_analytics_query_runner.py | 5 +- posthog/schema.py | 164 ++++++-- 12 files changed, 917 insertions(+), 45 deletions(-) create mode 100644 posthog/hogql_queries/web_analytics/external_clicks.py create mode 100644 posthog/hogql_queries/web_analytics/test/test_external_clicks_table.py diff --git a/frontend/src/queries/nodes/DataTable/queryFeatures.ts b/frontend/src/queries/nodes/DataTable/queryFeatures.ts index 066774effad9a..ae0351ace46b3 100644 --- a/frontend/src/queries/nodes/DataTable/queryFeatures.ts +++ b/frontend/src/queries/nodes/DataTable/queryFeatures.ts @@ -5,6 +5,7 @@ import { isHogQLQuery, isPersonsNode, isSessionAttributionExplorerQuery, + isWebExternalClicksQuery, isWebGoalsQuery, isWebOverviewQuery, isWebStatsTableQuery, @@ -62,6 +63,7 @@ export function getQueryFeatures(query: Node): Set { if ( isWebOverviewQuery(query) || isWebTopClicksQuery(query) || + isWebExternalClicksQuery(query) || isWebStatsTableQuery(query) || isWebGoalsQuery(query) ) { diff --git a/frontend/src/queries/schema.json b/frontend/src/queries/schema.json index 6637873bcf9a0..873b1fae0372a 100644 --- a/frontend/src/queries/schema.json +++ b/frontend/src/queries/schema.json @@ -494,6 +494,9 @@ { "$ref": "#/definitions/WebStatsTableQuery" }, + { + "$ref": "#/definitions/WebExternalClicksTableQuery" + }, { "$ref": "#/definitions/WebTopClicksQuery" }, @@ -2035,6 +2038,92 @@ ], "type": "object" }, + "CachedWebExternalClicksTableQueryResponse": { + "additionalProperties": false, + "properties": { + "cache_key": { + "type": "string" + }, + "cache_target_age": { + "format": "date-time", + "type": "string" + }, + "calculation_trigger": { + "description": "What triggered the calculation of the query, leave empty if user/immediate", + "type": "string" + }, + "columns": { + "items": {}, + "type": "array" + }, + "error": { + "description": "Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + "type": "string" + }, + "hasMore": { + "type": "boolean" + }, + "hogql": { + "description": "Generated HogQL query.", + "type": "string" + }, + "is_cached": { + "type": "boolean" + }, + "last_refresh": { + "format": "date-time", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "next_allowed_client_refresh": { + "format": "date-time", + "type": "string" + }, + "offset": { + "type": "integer" + }, + "query_status": { + "$ref": "#/definitions/QueryStatus", + "description": "Query status indicates whether next to the provided data, a query is still running." + }, + "results": { + "items": {}, + "type": "array" + }, + "samplingRate": { + "$ref": "#/definitions/SamplingRate" + }, + "timezone": { + "type": "string" + }, + "timings": { + "description": "Measured timings for different parts of the query generation process", + "items": { + "$ref": "#/definitions/QueryTiming" + }, + "type": "array" + }, + "types": { + "items": {}, + "type": "array" + } + }, + "required": [ + "cache_key", + "is_cached", + "last_refresh", + "next_allowed_client_refresh", + "results", + "timezone" + ], + "type": "object" + }, "CachedWebGoalsQueryResponse": { "additionalProperties": false, "properties": { @@ -2898,6 +2987,60 @@ "required": ["results"], "type": "object" }, + { + "additionalProperties": false, + "properties": { + "columns": { + "items": {}, + "type": "array" + }, + "error": { + "description": "Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + "type": "string" + }, + "hasMore": { + "type": "boolean" + }, + "hogql": { + "description": "Generated HogQL query.", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "offset": { + "type": "integer" + }, + "query_status": { + "$ref": "#/definitions/QueryStatus", + "description": "Query status indicates whether next to the provided data, a query is still running." + }, + "results": { + "items": {}, + "type": "array" + }, + "samplingRate": { + "$ref": "#/definitions/SamplingRate" + }, + "timings": { + "description": "Measured timings for different parts of the query generation process", + "items": { + "$ref": "#/definitions/QueryTiming" + }, + "type": "array" + }, + "types": { + "items": {}, + "type": "array" + } + }, + "required": ["results"], + "type": "object" + }, { "additionalProperties": false, "properties": { @@ -3229,6 +3372,9 @@ { "$ref": "#/definitions/WebStatsTableQuery" }, + { + "$ref": "#/definitions/WebExternalClicksTableQuery" + }, { "$ref": "#/definitions/WebTopClicksQuery" }, @@ -6725,6 +6871,7 @@ "WebOverviewQuery", "WebTopClicksQuery", "WebStatsTableQuery", + "WebExternalClicksTableQuery", "WebGoalsQuery", "DatabaseSchemaQuery" ], @@ -7721,6 +7868,60 @@ "required": ["results"], "type": "object" }, + { + "additionalProperties": false, + "properties": { + "columns": { + "items": {}, + "type": "array" + }, + "error": { + "description": "Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + "type": "string" + }, + "hasMore": { + "type": "boolean" + }, + "hogql": { + "description": "Generated HogQL query.", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "offset": { + "type": "integer" + }, + "query_status": { + "$ref": "#/definitions/QueryStatus", + "description": "Query status indicates whether next to the provided data, a query is still running." + }, + "results": { + "items": {}, + "type": "array" + }, + "samplingRate": { + "$ref": "#/definitions/SamplingRate" + }, + "timings": { + "description": "Measured timings for different parts of the query generation process", + "items": { + "$ref": "#/definitions/QueryTiming" + }, + "type": "array" + }, + "types": { + "items": {}, + "type": "array" + } + }, + "required": ["results"], + "type": "object" + }, { "additionalProperties": false, "properties": { @@ -8218,6 +8419,60 @@ "required": ["results"], "type": "object" }, + { + "additionalProperties": false, + "properties": { + "columns": { + "items": {}, + "type": "array" + }, + "error": { + "description": "Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + "type": "string" + }, + "hasMore": { + "type": "boolean" + }, + "hogql": { + "description": "Generated HogQL query.", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "offset": { + "type": "integer" + }, + "query_status": { + "$ref": "#/definitions/QueryStatus", + "description": "Query status indicates whether next to the provided data, a query is still running." + }, + "results": { + "items": {}, + "type": "array" + }, + "samplingRate": { + "$ref": "#/definitions/SamplingRate" + }, + "timings": { + "description": "Measured timings for different parts of the query generation process", + "items": { + "$ref": "#/definitions/QueryTiming" + }, + "type": "array" + }, + "types": { + "items": {}, + "type": "array" + } + }, + "required": ["results"], + "type": "object" + }, { "additionalProperties": false, "properties": { @@ -8798,6 +9053,9 @@ { "$ref": "#/definitions/WebStatsTableQuery" }, + { + "$ref": "#/definitions/WebExternalClicksTableQuery" + }, { "$ref": "#/definitions/WebTopClicksQuery" }, @@ -10419,6 +10677,109 @@ }, "type": "array" }, + "WebExternalClicksTableQuery": { + "additionalProperties": false, + "properties": { + "dateRange": { + "$ref": "#/definitions/DateRange" + }, + "filterTestAccounts": { + "type": "boolean" + }, + "kind": { + "const": "WebExternalClicksTableQuery", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "properties": { + "$ref": "#/definitions/WebAnalyticsPropertyFilters" + }, + "response": { + "$ref": "#/definitions/WebExternalClicksTableQueryResponse" + }, + "sampling": { + "additionalProperties": false, + "properties": { + "enabled": { + "type": "boolean" + }, + "forceSamplingRate": { + "$ref": "#/definitions/SamplingRate" + } + }, + "type": "object" + }, + "stripQueryParams": { + "type": "boolean" + }, + "useSessionsTable": { + "deprecated": "ignored, always treated as enabled *", + "type": "boolean" + } + }, + "required": ["kind", "properties"], + "type": "object" + }, + "WebExternalClicksTableQueryResponse": { + "additionalProperties": false, + "properties": { + "columns": { + "items": {}, + "type": "array" + }, + "error": { + "description": "Query error. Returned only if 'explain' or `modifiers.debug` is true. Throws an error otherwise.", + "type": "string" + }, + "hasMore": { + "type": "boolean" + }, + "hogql": { + "description": "Generated HogQL query.", + "type": "string" + }, + "limit": { + "type": "integer" + }, + "modifiers": { + "$ref": "#/definitions/HogQLQueryModifiers", + "description": "Modifiers used when performing the query" + }, + "offset": { + "type": "integer" + }, + "query_status": { + "$ref": "#/definitions/QueryStatus", + "description": "Query status indicates whether next to the provided data, a query is still running." + }, + "results": { + "items": {}, + "type": "array" + }, + "samplingRate": { + "$ref": "#/definitions/SamplingRate" + }, + "timings": { + "description": "Measured timings for different parts of the query generation process", + "items": { + "$ref": "#/definitions/QueryTiming" + }, + "type": "array" + }, + "types": { + "items": {}, + "type": "array" + } + }, + "required": ["results"], + "type": "object" + }, "WebGoalsQuery": { "additionalProperties": false, "properties": { diff --git a/frontend/src/queries/schema.ts b/frontend/src/queries/schema.ts index e0fc7602a7d27..8888c3c52c5ec 100644 --- a/frontend/src/queries/schema.ts +++ b/frontend/src/queries/schema.ts @@ -96,6 +96,7 @@ export enum NodeKind { WebOverviewQuery = 'WebOverviewQuery', WebTopClicksQuery = 'WebTopClicksQuery', WebStatsTableQuery = 'WebStatsTableQuery', + WebExternalClicksTableQuery = 'WebExternalClicksTableQuery', WebGoalsQuery = 'WebGoalsQuery', // Database metadata @@ -117,6 +118,7 @@ export type AnyDataNode = | HogQLAutocomplete | WebOverviewQuery | WebStatsTableQuery + | WebExternalClicksTableQuery | WebTopClicksQuery | WebGoalsQuery | SessionAttributionExplorerQuery @@ -143,6 +145,7 @@ export type QuerySchema = | HogQLAutocomplete | WebOverviewQuery | WebStatsTableQuery + | WebExternalClicksTableQuery | WebTopClicksQuery | WebGoalsQuery | SessionAttributionExplorerQuery @@ -563,6 +566,7 @@ export interface DataTableNode | HogQLQuery | WebOverviewQuery | WebStatsTableQuery + | WebExternalClicksTableQuery | WebTopClicksQuery | WebGoalsQuery | SessionAttributionExplorerQuery @@ -582,6 +586,7 @@ export interface DataTableNode | HogQLQuery | WebOverviewQuery | WebStatsTableQuery + | WebExternalClicksTableQuery | WebTopClicksQuery | WebGoalsQuery | SessionAttributionExplorerQuery @@ -1415,6 +1420,22 @@ export interface WebStatsTableQueryResponse extends AnalyticsQueryResponseBase +export interface WebExternalClicksTableQuery extends WebAnalyticsQueryBase { + kind: NodeKind.WebExternalClicksTableQuery + limit?: integer + stripQueryParams?: boolean +} +export interface WebExternalClicksTableQueryResponse extends AnalyticsQueryResponseBase { + types?: unknown[] + columns?: unknown[] + hogql?: string + samplingRate?: SamplingRate + hasMore?: boolean + limit?: integer + offset?: integer +} +export type CachedWebExternalClicksTableQueryResponse = CachedQueryResponse + export interface WebGoalsQuery extends WebAnalyticsQueryBase { kind: NodeKind.WebGoalsQuery limit?: integer diff --git a/frontend/src/queries/utils.ts b/frontend/src/queries/utils.ts index db8c0d505ae93..2d140f843a037 100644 --- a/frontend/src/queries/utils.ts +++ b/frontend/src/queries/utils.ts @@ -126,6 +126,10 @@ export function isWebStatsTableQuery(node?: Record | null): node is return node?.kind === NodeKind.WebStatsTableQuery } +export function isWebExternalClicksQuery(node?: Record | null): boolean { + return node?.kind === NodeKind.WebExternalClicksTableQuery +} + export function isWebTopClicksQuery(node?: Record | null): node is WebTopClicksQuery { return node?.kind === NodeKind.WebTopClicksQuery } diff --git a/frontend/src/scenes/saved-insights/SavedInsights.tsx b/frontend/src/scenes/saved-insights/SavedInsights.tsx index ae49c29efdfb6..e1c68fb381ef7 100644 --- a/frontend/src/scenes/saved-insights/SavedInsights.tsx +++ b/frontend/src/scenes/saved-insights/SavedInsights.tsx @@ -305,6 +305,12 @@ export const QUERY_TYPES_METADATA: Record = { icon: IconPieChart, inMenu: true, }, + [NodeKind.WebExternalClicksTableQuery]: { + name: 'External click urls', + description: 'View clicks on external links', + icon: IconPieChart, + inMenu: true, + }, [NodeKind.HogQuery]: { name: 'Hog', description: 'Hog query', diff --git a/frontend/src/scenes/web-analytics/tiles/WebAnalyticsTile.tsx b/frontend/src/scenes/web-analytics/tiles/WebAnalyticsTile.tsx index 4ce8a66fa7514..9d58fc82eb116 100644 --- a/frontend/src/scenes/web-analytics/tiles/WebAnalyticsTile.tsx +++ b/frontend/src/scenes/web-analytics/tiles/WebAnalyticsTile.tsx @@ -190,6 +190,11 @@ export const webAnalyticsDataTableQueryContext: QueryContext = { render: NumericCell, align: 'right', }, + clicks: { + title: 'Clicks', + render: NumericCell, + align: 'right', + }, visitors: { title: 'Visitors', render: NumericCell, @@ -509,6 +514,33 @@ export const WebGoalsTile = ({

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z*by5W8zAIA0#%%mKgOR7iu*}FY#$#V=imI@08%%mwbCI#LJu?$mHG@}*l(a;HR;5j z`v-(O3M2--gWSzu@291d4i#ROu_xQRyIKivRa$N>?-m!cPUM4gQU1eU0Qup~)^k6n z+m#>=Kon$-6$pJFD(lMS^$8giwwG&7GNF3fMX^z#cK%d6$zHX94dbx}&IhzLnTzo? zsgCe}y`Si_ZB}vt0bBI@5=hVQ5Iy4juym_*SW6k@B6WQRPQnk7ozK8QemteX^#y=2 zeoAzv3ahE9adL8kbMel6*&sh3pJR}1fI49XECT{S5x|;?QV5*TJylS)?*o@QAJ7Q_ z>W@N4)gdQ551nP<_j55B {!sceneConfig?.hideBillingNotice && } diff --git a/frontend/src/layout/navigation-3000/navigationLogic.tsx b/frontend/src/layout/navigation-3000/navigationLogic.tsx index b21c10bede17a..fb25445924814 100644 --- a/frontend/src/layout/navigation-3000/navigationLogic.tsx +++ b/frontend/src/layout/navigation-3000/navigationLogic.tsx @@ -510,6 +510,14 @@ export const navigation3000Logic = kea([ icon: , to: isUsingSidebar ? undefined : urls.dataWarehouse(), }, + featureFlags[FEATURE_FLAGS.DATA_MODELING] && hasOnboardedAnyProduct + ? { + identifier: Scene.DataModel, + label: 'Data model', + icon: , + to: isUsingSidebar ? undefined : urls.dataModel(), + } + : null, hasOnboardedAnyProduct ? { identifier: Scene.Pipeline, diff --git a/frontend/src/lib/api.ts b/frontend/src/lib/api.ts index b49144f9ada51..a78f2d53967d4 100644 --- a/frontend/src/lib/api.ts +++ b/frontend/src/lib/api.ts @@ -2072,6 +2072,18 @@ const api = { ): Promise { return await new ApiRequest().dataWarehouseSavedQuery(viewId).update({ data }) }, + async ancestors(viewId: DataWarehouseSavedQuery['id'], level?: number): Promise> { + return await new ApiRequest() + .dataWarehouseSavedQuery(viewId) + .withAction('ancestors') + .create({ data: { level } }) + }, + async descendants(viewId: DataWarehouseSavedQuery['id'], level?: number): Promise> { + return await new ApiRequest() + .dataWarehouseSavedQuery(viewId) + .withAction('descendants') + .create({ data: { level } }) + }, }, externalDataSources: { async list(options?: ApiMethodOptions | undefined): Promise> { diff --git a/frontend/src/lib/constants.tsx b/frontend/src/lib/constants.tsx index 02761a7532378..c675af662f4d0 100644 --- a/frontend/src/lib/constants.tsx +++ b/frontend/src/lib/constants.tsx @@ -211,6 +211,7 @@ export const FEATURE_FLAGS = { WEB_ANALYTICS_REPLAY: 'web-analytics-replay', // owner: @robbie-c BATCH_EXPORTS_POSTHOG_HTTP: 'posthog-http-batch-exports', EXPERIMENT_MAKE_DECISION: 'experiment-make-decision', // owner: @jurajmajerik #team-feature-success + DATA_MODELING: 'data-modeling', // owner: @EDsCODE #team-data-warehouse WEB_ANALYTICS_CONVERSION_GOALS: 'web-analytics-conversion-goals', // owner: @robbie-c WEB_ANALYTICS_LAST_CLICK: 'web-analytics-last-click', // owner: @robbie-c } as const diff --git a/frontend/src/queries/schema.json b/frontend/src/queries/schema.json index 90be24bd22c33..21975bff8d9ba 100644 --- a/frontend/src/queries/schema.json +++ b/frontend/src/queries/schema.json @@ -3444,6 +3444,9 @@ "hogql_value": { "type": "string" }, + "id": { + "type": "string" + }, "name": { "type": "string" }, diff --git a/frontend/src/queries/schema.ts b/frontend/src/queries/schema.ts index 7cb850d06cb7f..ef32de28a3cc5 100644 --- a/frontend/src/queries/schema.ts +++ b/frontend/src/queries/schema.ts @@ -1693,6 +1693,7 @@ export interface DatabaseSchemaField { table?: string fields?: string[] chain?: (string | integer)[] + id?: string } export interface DatabaseSchemaTableCommon { diff --git a/frontend/src/scenes/appScenes.ts b/frontend/src/scenes/appScenes.ts index 0824fc5438068..4ed1a46a71d7c 100644 --- a/frontend/src/scenes/appScenes.ts +++ b/frontend/src/scenes/appScenes.ts @@ -38,6 +38,7 @@ export const appScenes: Record any> = { [Scene.Surveys]: () => import('./surveys/Surveys'), [Scene.Survey]: () => import('./surveys/Survey'), [Scene.SurveyTemplates]: () => import('./surveys/SurveyTemplates'), + [Scene.DataModel]: () => import('./data-model/DataModelScene'), [Scene.DataWarehouse]: () => import('./data-warehouse/external/DataWarehouseExternalScene'), [Scene.DataWarehouseTable]: () => import('./data-warehouse/new/NewSourceWizard'), [Scene.DataWarehouseExternal]: () => import('./data-warehouse/external/DataWarehouseExternalScene'), diff --git a/frontend/src/scenes/data-model/DataModelScene.tsx b/frontend/src/scenes/data-model/DataModelScene.tsx new file mode 100644 index 0000000000000..b2e953212ccc4 --- /dev/null +++ b/frontend/src/scenes/data-model/DataModelScene.tsx @@ -0,0 +1,27 @@ +import { useValues } from 'kea' +import { ViewLinkModal } from 'scenes/data-warehouse/ViewLinkModal' +import { SceneExport } from 'scenes/sceneTypes' + +import { dataModelSceneLogic } from './dataModelSceneLogic' +import NodeCanvasWithTable from './NodeCanvasWithTable' + +export const scene: SceneExport = { + component: DataModelScene, + logic: dataModelSceneLogic, +} + +export function DataModelScene(): JSX.Element { + const { simplifiedPersonFields, joinedFieldsAsNodes, allNodes } = useValues(dataModelSceneLogic) + + return ( + <> + + + + ) +} diff --git a/frontend/src/scenes/data-model/Node.tsx b/frontend/src/scenes/data-model/Node.tsx new file mode 100644 index 0000000000000..23415711d9aac --- /dev/null +++ b/frontend/src/scenes/data-model/Node.tsx @@ -0,0 +1,20 @@ +interface NodeProps { + pref: (el: HTMLDivElement | null) => void + width?: string + height?: string + className?: string + children: React.ReactNode +} + +function GenericNode({ pref, className = '', children }: NodeProps): JSX.Element { + return ( +

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+ ), dataIndex: 'evaluation', width: 150, render: function Render(_, featureFlag: RelatedFeatureFlag) { From b1c688c9122f568a9e47ef01d5970b1571f8ee0a Mon Sep 17 00:00:00 2001 From: Ben White Date: Mon, 9 Sep 2024 17:14:27 +0200 Subject: [PATCH 47/66] feat: Hedgehog mode skins (#24838) --- .storybook/main.ts | 2 +- ...es-other-settings--settings-user--dark.png | Bin 226968 -> 227373 bytes ...s-other-settings--settings-user--light.png | Bin 227498 -> 227769 bytes frontend/public/hedgehog/sprites/heatmaps.png | Bin 23829 -> 0 bytes .../public/hedgehog/sprites/overlays/fire.png | Bin 0 -> 16888 bytes .../sprites/{ => skins/default}/action.png | Bin .../sprites/{ => skins/default}/fall.png | Bin .../sprites/{ => skins/default}/flag.png | Bin .../sprites/{ => skins/default}/inspect.png | Bin .../sprites/{ => skins/default}/jump.png | Bin .../sprites/{ => skins/default}/phone.png | Bin .../sprites/{ => skins/default}/sign.png | Bin .../sprites/{ => skins/default}/walk.png | Bin .../sprites/{ => skins/default}/wave.png | Bin .../hedgehog/sprites/skins/spiderhog/fall.png | Bin 0 -> 19100 bytes .../hedgehog/sprites/skins/spiderhog/jump.png | Bin 0 -> 35642 bytes .../hedgehog/sprites/skins/spiderhog/walk.png | Bin 0 -> 29657 bytes .../hedgehog/sprites/skins/spiderhog/wave.png | Bin 0 -> 43072 bytes frontend/public/hedgehog/sprites/spin.png | Bin 34693 -> 0 bytes .../HedgehogBuddy/HedgehogBuddy.scss | 1 - .../HedgehogBuddy/HedgehogBuddy.tsx | 494 ++++++++++++++---- .../HedgehogBuddy/HedgehogBuddyRender.tsx | 47 +- .../HedgehogBuddy/HedgehogOptions.tsx | 49 +- .../HedgehogBuddy/sprites/sprites.tsx | 64 ++- frontend/src/lib/constants.tsx | 1 + frontend/src/lib/utils.tsx | 4 + frontend/src/scenes/max/Max.tsx | 22 +- frontend/src/toolbar/bar/toolbarLogic.ts | 2 +- .../src/toolbar/hedgehog/HedgehogButton.tsx | 2 +- frontend/src/types.ts | 3 + 30 files changed, 506 insertions(+), 185 deletions(-) delete mode 100644 frontend/public/hedgehog/sprites/heatmaps.png create mode 100644 frontend/public/hedgehog/sprites/overlays/fire.png rename frontend/public/hedgehog/sprites/{ => skins/default}/action.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/fall.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/flag.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/inspect.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/jump.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/phone.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/sign.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/walk.png (100%) rename frontend/public/hedgehog/sprites/{ => skins/default}/wave.png (100%) create mode 100644 frontend/public/hedgehog/sprites/skins/spiderhog/fall.png create mode 100644 frontend/public/hedgehog/sprites/skins/spiderhog/jump.png create mode 100644 frontend/public/hedgehog/sprites/skins/spiderhog/walk.png create mode 100644 frontend/public/hedgehog/sprites/skins/spiderhog/wave.png delete mode 100644 frontend/public/hedgehog/sprites/spin.png diff --git a/.storybook/main.ts b/.storybook/main.ts index 097de03c004da..d9f3bc19feb4c 100644 --- a/.storybook/main.ts +++ b/.storybook/main.ts @@ -13,7 +13,7 @@ const config: StorybookConfig = { 'storybook-addon-pseudo-states', ], - staticDirs: ['public'], + staticDirs: ['public', { from: '../frontend/public', to: '/static' }], webpackFinal: (config) => { const mainConfig = createEntry('main') diff --git a/frontend/__snapshots__/scenes-other-settings--settings-user--dark.png b/frontend/__snapshots__/scenes-other-settings--settings-user--dark.png index 6b9f594ab179a1a3e7148998ed7cd4698f0c0ee4..3aa44a392089a4664ebca8c67b7bcf29ca25c4e2 100644 GIT binary patch delta 77801 zcmb@N1ymi+mhK4=Ah-n&!QI^n3GPnN5Zr@1o!~CPf?IG64hJ{{cXxMpcV6?q_s-0n zx$|b;T93toUeKqyyQ+HE{(k$bpZmzgN66oNpH;&CmI6FqeYCyvgh^wVT-wU}941H$ z?_^f3@h7g0orC2dGCn6`_Msd 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z9mb*8dp~ekS`Xva+NK6hW6W)R&v5gcdcFPtbM8k`bdSN0h=_>J6a(Pl!`9A^MGg { - return [...acc, ...range(standardAnimations[key].randomChance || 0).map(() => key)] -}, []) - export type HedgehogBuddyProps = { onActorLoaded?: (actor: HedgehogActor) => void - onClose?: () => void - onClick?: () => void + onClose?: (actor: HedgehogActor) => void + onClick?: (actor: HedgehogActor) => void onPositionChange?: (actor: HedgehogActor) => void hedgehogConfig?: HedgehogConfig tooltip?: JSX.Element + static?: boolean } type Box = { @@ -73,46 +75,62 @@ const elementToBox = (element: Element): Box => { } } +type AnimationState = { + name: string + frame: number + iterations: number | null + spriteInfo: SpriteInfo + onComplete?: () => boolean | void +} + export class HedgehogActor { element?: HTMLDivElement | null - animations = standardAnimations direction: 'left' | 'right' = 'right' - startX = Math.min(Math.max(0, Math.floor(Math.random() * window.innerWidth)), window.innerWidth - SPRITE_SIZE) - startY = Math.min(Math.max(0, Math.floor(Math.random() * window.innerHeight)), window.innerHeight - SPRITE_SIZE) + startX = 0 + startY = 0 x = this.startX y = this.startY + followMouse = false + lastKnownMousePosition: [number, number] | null = null isDragging = false isControlledByUser = false yVelocity = -30 // Appears as if jumping out of thin air xVelocity = 0 ground: Element | null = null jumpCount = 0 - animationName: string = 'fall' - animation = this.animations[this.animationName] - animationFrame = 0 - animationIterations: number | null = null - animationCompletionHandler?: () => boolean | void + mainAnimation: AnimationState | null = null + overlayAnimation: AnimationState | null = null + gravity = GRAVITY_PIXELS ignoreGroundAboveY?: number showTooltip = false lastScreenPosition = [window.screenX, window.screenY + window.innerHeight] + static = false // properties synced with the logic hedgehogConfig: Partial = {} tooltip?: JSX.Element constructor() { + this.log('Created new HedgehogActor') + + this.startX = Math.min( + Math.max(0, Math.floor(Math.random() * window.innerWidth)), + window.innerWidth - SPRITE_SIZE + ) + this.startY = Math.min( + Math.max(0, Math.floor(Math.random() * window.innerHeight)), + window.innerHeight - SPRITE_SIZE + ) this.setAnimation('fall') } - private accessories(): AccessoryInfo[] { - return this.hedgehogConfig.accessories?.map((acc) => standardAccessories[acc]) ?? [] + animations(): { [key: string]: SpriteInfo } { + const animations = skins[this.hedgehogConfig.skin || 'default'] + return animations } - private getAnimationOptions(): string[] { - if (!this.hedgehogConfig.walking_enabled) { - return randomChoiceList.filter((x) => x !== 'walk') - } - return randomChoiceList + private accessories(): AccessoryInfo[] { + return this.hedgehogConfig.accessories?.map((acc) => standardAccessories[acc]) ?? [] } private log(message: string, ...args: any[]): void { @@ -124,21 +142,68 @@ export class HedgehogActor { setOnFire(times = 3): void { this.log('setting on fire, iterations remaining:', times) - this.setAnimation('heatmaps', { + this.setOverlayAnimation('fire', { onComplete: () => { if (times == 1) { - return + this.setOverlayAnimation(null) + } else { + this.setOnFire(times - 1) } - this.setOnFire(times - 1) - return true }, }) + + this.setAnimation('stop', {}) this.direction = sampleOne(['left', 'right']) this.xVelocity = this.direction === 'left' ? -5 : 5 this.jump() } setupKeyboardListeners(): () => void { + const lastKeys: string[] = [] + + const secretMap: { + keys: string[] + action: () => void + }[] = [ + { + keys: ['f', 'f', 'f'], + action: () => this.setOnFire(), + }, + { + keys: ['f', 'i', 'r', 'e'], + action: () => this.setOnFire(), + }, + { + keys: ['s', 'p', 'i', 'd', 'e', 'r', 'h', 'o', 'g'], + action: () => { + this.hedgehogConfig.skin = 'spiderhog' + }, + }, + { + keys: [ + 'arrowup', + 'arrowup', + 'arrowdown', + 'arrowdown', + 'arrowleft', + 'arrowright', + 'arrowleft', + 'arrowright', + 'b', + 'a', + ], + action: () => { + this.setOnFire() + this.gravity = -2 + + lemonToast.info('I must leave. My people need me!') + setTimeout(() => { + this.gravity = GRAVITY_PIXELS + }, 2000) + }, + }, + ] + const keyDownListener = (e: KeyboardEvent): void => { if (shouldIgnoreInput(e) || !this.hedgehogConfig.controls_enabled) { return @@ -146,13 +211,25 @@ export class HedgehogActor { const key = e.key.toLowerCase() + lastKeys.push(key) + if (lastKeys.length > 20) { + lastKeys.shift() + } + if ([' ', 'w', 'arrowup'].includes(key)) { this.jump() } + secretMap.forEach((secret) => { + if (lastKeys.slice(-secret.keys.length).join('') === secret.keys.join('')) { + secret.action() + lastKeys.splice(-secret.keys.length) + } + }) + if (['arrowdown', 's'].includes(key)) { if (this.ground === document.body) { - if (this.animationName !== 'wave') { + if (this.mainAnimation?.name !== 'wave') { this.setAnimation('wave') } } else if (this.ground) { @@ -165,7 +242,7 @@ export class HedgehogActor { if (['arrowleft', 'a', 'arrowright', 'd'].includes(key)) { this.isControlledByUser = true - if (this.animationName !== 'walk') { + if (this.mainAnimation?.name !== 'walk') { this.setAnimation('walk') } @@ -178,8 +255,6 @@ export class HedgehogActor { // Moonwalking is hard so he moves slightly slower of course this.xVelocity *= 0.8 } - - this.animationIterations = null } } @@ -191,14 +266,51 @@ export class HedgehogActor { const key = e.key.toLowerCase() if (['arrowleft', 'a', 'arrowright', 'd'].includes(key)) { - this.setAnimation('stop') - this.animationIterations = FPS * 2 // Wait 2 seconds before doing something else + this.setAnimation('stop', { + iterations: FPS * 2, + }) this.isControlledByUser = false } } + const onMouseDown = (e: MouseEvent): void => { + if (!this.hedgehogConfig.controls_enabled || this.hedgehogConfig.skin !== 'spiderhog') { + return + } + + // Whilst the mouse is down we will move the hedgehog towards it + // First check that we haven't clicked the hedgehog + const elementBounds = this.element?.getBoundingClientRect() + if ( + elementBounds && + e.clientX >= elementBounds.left && + e.clientX <= elementBounds.right && + e.clientY >= elementBounds.top && + e.clientY <= elementBounds.bottom + ) { + return + } + + this.setAnimation('fall') + this.followMouse = true + this.lastKnownMousePosition = [e.clientX, e.clientY] + + const onMouseMove = (e: MouseEvent): void => { + this.lastKnownMousePosition = [e.clientX, e.clientY] + } + + const onMouseUp = (): void => { + this.followMouse = false + window.removeEventListener('mousemove', onMouseMove) + } + + window.addEventListener('mousemove', onMouseMove) + window.addEventListener('mouseup', onMouseUp) + } + window.addEventListener('keydown', keyDownListener) window.addEventListener('keyup', keyUpListener) + window.addEventListener('mousedown', onMouseDown) return () => { window.removeEventListener('keydown', keyDownListener) @@ -206,28 +318,27 @@ export class HedgehogActor { } } - setAnimation( - animationName: string, - options?: { - onComplete: () => boolean | void - } - ): void { - this.animationName = animationName - this.animation = this.animations[animationName] - this.animationFrame = 0 - this.animationCompletionHandler = () => { - this.animationCompletionHandler = undefined - - return options?.onComplete() - } - if (this.animationName !== 'stop') { - this.direction = this.animation.forceDirection || sampleOne(['left', 'right']) + setAnimation(animationName: AnimationName, options?: Partial): void { + const availableAnimations = this.animations() + animationName = availableAnimations[animationName] ? animationName : 'stop' + const spriteInfo = availableAnimations[animationName] + + this.mainAnimation = { + name: animationName, + frame: 0, + iterations: spriteInfo.maxIteration ?? null, + spriteInfo, + onComplete: options?.onComplete, } // Set a random number of iterations or infinite for certain situations - this.animationIterations = this.animation.maxIteration - ? Math.max(1, Math.floor(Math.random() * this.animation.maxIteration)) - : null + this.mainAnimation.iterations = + options?.iterations ?? + (spriteInfo.maxIteration ? Math.max(1, Math.floor(Math.random() * spriteInfo.maxIteration)) : null) + + if (this.mainAnimation.name !== 'stop') { + this.direction = this.mainAnimation.spriteInfo.forceDirection || sampleOne(['left', 'right']) + } if (animationName === 'walk') { this.xVelocity = this.direction === 'left' ? -1 : 1 @@ -236,19 +347,52 @@ export class HedgehogActor { } if ((window as any)._posthogDebugHedgehog) { - const duration = this.animationIterations - ? this.animationIterations * this.animation.frames * (1000 / FPS) - : '∞' + const duration = + this.mainAnimation.iterations !== null + ? this.mainAnimation.iterations * spriteInfo.frames * (1000 / FPS) + : '∞' - this.log(`Will '${this.animationName}' for ${duration}ms`) + this.log(`Will '${this.mainAnimation.name}' for ${duration}ms`) + } + } + + setOverlayAnimation( + animationName: OverlayAnimationName | null, + options?: { + onComplete: () => boolean | void + } + ): void { + if (!animationName) { + this.overlayAnimation = null + return + } + const spriteInfo = overlayAnimations[animationName] + if (!spriteInfo) { + this.log(`Overlay animation '${animationName}' not found`) + return + } + + this.overlayAnimation = { + name: animationName, + frame: 0, + iterations: 1, + spriteInfo, + onComplete: options?.onComplete ?? (() => this.setOverlayAnimation(null)), } } setRandomAnimation(): void { - if (this.animationName !== 'stop') { + if (this.mainAnimation?.name !== 'stop') { this.setAnimation('stop') } else { - this.setAnimation(sampleOne(this.getAnimationOptions())) + let randomChoiceList = Object.keys(this.animations()).reduce((acc, key) => { + return [...acc, ...range(this.animations()[key].randomChance || 0).map(() => key)] as AnimationName[] + }, [] as AnimationName[]) + + randomChoiceList = this.hedgehogConfig.walking_enabled + ? randomChoiceList + : randomChoiceList.filter((x) => x !== 'walk') + this.setAnimation(sampleOne(randomChoiceList)) } } @@ -258,7 +402,7 @@ export class HedgehogActor { } this.ground = null this.jumpCount += 1 - this.yVelocity = GRAVITY_PIXELS * 5 + this.yVelocity = this.gravity * 5 } update(): void { @@ -283,11 +427,11 @@ export class HedgehogActor { if (screenMoveY < 0) { // If the ground has moved up relative to the hedgehog we need to make him jump - this.yVelocity = Math.max(this.yVelocity + screenMoveY * 10, -GRAVITY_PIXELS * 20) + this.yVelocity = Math.max(this.yVelocity + screenMoveY * 10, -this.gravity * 20) } if (screenMoveX !== 0) { - if (this.animationName !== 'stop') { + if (this.mainAnimation?.name !== 'stop') { this.setAnimation('stop') } // Somewhat random numbers here to find what felt fun @@ -297,30 +441,53 @@ export class HedgehogActor { this.applyVelocity() - // Ensure we are falling or not - if (this.animationName === 'fall' && !this.isFalling()) { - this.setAnimation('stop') - } + if (this.mainAnimation) { + // Ensure we are falling or not + if (this.mainAnimation.name === 'fall' && !this.isFalling()) { + this.setAnimation('stop') + } - this.animationFrame++ + this.mainAnimation.frame++ - if (this.animationFrame >= this.animation.frames) { - // End of the animation - if (this.animationIterations !== null) { - this.animationIterations -= 1 - } + if (this.mainAnimation.frame >= this.mainAnimation.spriteInfo.frames) { + this.mainAnimation.frame = 0 + // End of the animation + if (this.mainAnimation.iterations !== null) { + this.mainAnimation.iterations -= 1 + } + + if (this.mainAnimation.iterations === 0) { + this.mainAnimation.iterations = null + // End of the animation, set the next one - if (this.animationIterations === 0) { - this.animationIterations = null - // End of the animation, set the next one + const preventNextAnimation = this.mainAnimation.onComplete?.() - const preventNextAnimation = this.animationCompletionHandler?.() - if (!preventNextAnimation) { - this.setRandomAnimation() + if (!preventNextAnimation) { + if (this.static) { + this.setAnimation('stop') + } else { + this.setRandomAnimation() + } + } } } + } - this.animationFrame = 0 + if (this.overlayAnimation) { + this.overlayAnimation.frame++ + + if (this.overlayAnimation.frame >= this.overlayAnimation.spriteInfo.frames) { + this.overlayAnimation.frame = 0 + // End of the animation + if (this.overlayAnimation.iterations !== null) { + this.overlayAnimation.iterations -= 1 + } + + if (this.overlayAnimation.iterations === 0) { + this.overlayAnimation.iterations = null + this.overlayAnimation.onComplete?.() + } + } } if (this.isDragging) { @@ -352,11 +519,39 @@ export class HedgehogActor { return } + if (this.followMouse) { + this.ground = null + const [clientX, clientY] = this.lastKnownMousePosition ?? [0, 0] + + const xDiff = clientX - this.x + const yDiff = window.innerHeight - clientY - this.y + + const distance = Math.sqrt(xDiff ** 2 + yDiff ** 2) + const speed = 3 + const ratio = speed / distance + + if (yDiff < 0) { + this.yVelocity -= this.gravity + } + + this.yVelocity += yDiff * ratio + this.xVelocity += xDiff * ratio + this.y = this.y + this.yVelocity + if (this.y < 0) { + this.y = 0 + this.yVelocity = -this.yVelocity * 0.4 + } + this.x = this.x + this.xVelocity + this.direction = this.xVelocity > 0 ? 'right' : 'left' + + return + } + this.ground = this.findGround() - this.yVelocity -= GRAVITY_PIXELS + this.yVelocity -= this.gravity // We decelerate the x velocity if the hedgehog is stopped - if (['stop'].includes(this.animationName) && !this.isControlledByUser) { + if (!this.isControlledByUser && this.mainAnimation?.name !== 'walk' && this.onGround()) { this.xVelocity = this.xVelocity * 0.6 } @@ -445,6 +640,9 @@ export class HedgehogActor { } private onGround(): boolean { + if (this.static) { + return true + } if (this.ground) { const groundLevel = elementToBox(this.ground).y + elementToBox(this.ground).height return this.y <= groundLevel @@ -457,15 +655,45 @@ export class HedgehogActor { return !this.onGround() && Math.abs(this.yVelocity) > 1 } + renderRope(): JSX.Element | null { + if (!this.lastKnownMousePosition) { + return null + } + + // We position the rope to roughly where the hand should be + const x = this.x + SPRITE_SIZE / 2 + const y = this.y + SPRITE_SIZE / 2 + const mouseX = this.lastKnownMousePosition[0] + // Y coords are inverted + const mouseY = window.innerHeight - this.lastKnownMousePosition[1] + + return ( +

    + ) + } + render({ onClick, ref }: { onClick: () => void; ref: ForwardedRef }): JSX.Element { - const accessoryPosition = this.animation.accessoryPositions?.[this.animationFrame] + const accessoryPosition = this.mainAnimation?.spriteInfo.accessoryPositions?.[this.mainAnimation.frame] const preloadContent = - Object.values(this.animations) - .map((x) => `url(${baseSpritePath()}/${x.img}.png)`) + Object.values(this.animations()) + .map((x) => `url(${spriteUrl(this.hedgehogConfig.skin ?? 'default', x.img)})`) .join(' ') + ' ' + this.accessories() - .map((accessory) => `url(${baseSpriteAccessoriesPath}/${accessory.img}.png)`) + .map((accessory) => `url(${spriteAccessoryUrl(accessory.img)})`) .join(' ') const imageFilter = this.hedgehogConfig.color ? COLOR_TO_FILTER_MAP[this.hedgehogConfig.color] : undefined @@ -549,16 +777,17 @@ export class HedgehogActor { }} className="HedgehogBuddy" data-content={preloadContent} - onTouchStart={() => onTouchOrMouseStart()} - onMouseDown={() => onTouchOrMouseStart()} + onTouchStart={this.static ? undefined : () => onTouchOrMouseStart()} + onMouseDown={this.static ? undefined : () => onTouchOrMouseStart()} onMouseOver={() => (this.showTooltip = true)} onMouseOut={() => (this.showTooltip = false)} + onClick={this.static ? onClick : undefined} // eslint-disable-next-line react/forbid-dom-props style={{ - position: 'fixed', - left: this.x, - bottom: this.y - SHADOW_HEIGHT * 0.5, - transition: !this.isDragging ? `all ${1000 / FPS}ms` : undefined, + position: this.static ? 'relative' : 'fixed', + left: this.static ? undefined : this.x, + bottom: this.static ? undefined : this.y - SHADOW_HEIGHT * 0.5, + transition: !(this.isDragging || this.followMouse) ? `all ${1000 / FPS}ms` : undefined, cursor: 'pointer', margin: 0, }} @@ -585,19 +814,27 @@ export class HedgehogActor { transform: `scaleX(${this.direction === 'right' ? 1 : -1})`, }} > -
    + {this.mainAnimation ? ( +
    + ) : null} + {this.accessories().map((accessory, index) => (
    ))} + {this.overlayAnimation ? ( +
    + ) : null}
    + {this.renderRope()} + {(window as any)._posthogDebugHedgehog && ( <> {[this.element && elementToBox(this.element), this.ground && elementToBox(this.ground)].map( @@ -651,7 +908,7 @@ export class HedgehogActor { } export const HedgehogBuddy = React.forwardRef(function HedgehogBuddy( - { onActorLoaded, onClick: _onClick, onPositionChange, hedgehogConfig, tooltip }, + { onActorLoaded, onClick: _onClick, onPositionChange, hedgehogConfig, tooltip, static: staticMode }, ref ): JSX.Element { const actorRef = useRef() @@ -682,6 +939,10 @@ export const HedgehogBuddy = React.forwardRef { + actor.static = staticMode ?? false + }, [staticMode]) + useEffect(() => { let timer: any = null @@ -712,7 +973,7 @@ export const HedgehogBuddy = React.forwardRef { - !actor.isDragging && _onClick?.() + !actor.isDragging && _onClick?.(actor) } return actor.render({ onClick, ref }) @@ -734,16 +995,19 @@ export function MyHedgehogBuddy({ const [popoverVisible, setPopoverVisible] = useState(false) - const onClick = (): void => { + const onClick = (actor: HedgehogActor): void => { setPopoverVisible(!popoverVisible) - _onClick?.() + _onClick?.(actor) } const disappear = (): void => { setPopoverVisible(false) - actor?.setAnimation('wave') - setTimeout(() => onClose?.(), (actor!.animations.wave.frames * 1000) / FPS) + actor?.setAnimation('wave', { + onComplete() { + onClose?.(actor) + return true + }, + }) } - return ( setPopoverVisible(false)} @@ -797,7 +1061,11 @@ export function MemberHedgehogBuddy({ member }: { member: OrganizationMemberType const memberHedgehogConfig: HedgehogConfig = useMemo( () => ({ ...hedgehogConfig, + // Reset some params to default + skin: 'default', + // Then apply the user's config ...member.user.hedgehog_config, + // Finally some settings are forced controls_enabled: false, }), [hedgehogConfig, member.user.hedgehog_config] diff --git a/frontend/src/lib/components/HedgehogBuddy/HedgehogBuddyRender.tsx b/frontend/src/lib/components/HedgehogBuddy/HedgehogBuddyRender.tsx index fc12a1396a342..8c766f9bda66e 100644 --- a/frontend/src/lib/components/HedgehogBuddy/HedgehogBuddyRender.tsx +++ b/frontend/src/lib/components/HedgehogBuddy/HedgehogBuddyRender.tsx @@ -1,55 +1,22 @@ -import { useEffect, useRef, useState } from 'react' - import { HedgehogConfig } from '~/types' -import { FPS, X_FRAMES } from './HedgehogBuddy' import { COLOR_TO_FILTER_MAP } from './hedgehogBuddyLogic' -import { - baseSpriteAccessoriesPath, - baseSpritePath, - SPRITE_SIZE, - standardAccessories, - standardAnimations, -} from './sprites/sprites' +import { spriteAccessoryUrl, spriteUrl, standardAccessories } from './sprites/sprites' -export type HedgehogBuddyStaticProps = Partial & { size?: number | string; waveOnAppearance?: boolean } +export type HedgehogBuddyStaticProps = Partial & { size?: number | string } // Takes a range of options and renders a static hedgehog export function HedgehogBuddyStatic({ accessories, color, size, - waveOnAppearance, + skin = 'default', }: HedgehogBuddyStaticProps): JSX.Element { const imgSize = size ?? 60 const accessoryInfos = accessories?.map((x) => standardAccessories[x]) const filter = color ? COLOR_TO_FILTER_MAP[color] : null - const [animationIteration, setAnimationIteration] = useState(waveOnAppearance ? 1 : 0) - const [_, setTimerLoop] = useState(0) - const animationFrameRef = useRef(0) - - useEffect(() => { - if (animationIteration) { - setTimerLoop(0) - let timer: any = null - const loop = (): void => { - if (animationFrameRef.current < standardAnimations.wave.frames) { - animationFrameRef.current++ - timer = setTimeout(loop, 1000 / FPS) - } else { - animationFrameRef.current = 0 - } - setTimerLoop((x) => x + 1) - } - loop() - return () => { - clearTimeout(timer) - } - } - }, [animationIteration]) - return (
    setAnimationIteration((x) => x + 1) : undefined} >
    {accessoryInfos?.map((accessory, index) => (

    Hi, I'm Max!

    - Don't mind me. I'm just here to keep you company. -
    - You can move me around by clicking and dragging or control me with WASD / arrow keys. + {hedgehogConfig.skin === 'spiderhog' ? ( + <> + Well, it’s not every day you meet a hedgehog with spider powers. Yep, that's me - + SpiderHog. I wasn’t always this way. Just your average, speedy little guy until a + radioactive spider bit me. With great power comes great responsibility, so buckle up, + because this hedgehog’s got a whole data warehouse to protect... +
    + You can move me around by clicking and dragging or control me with WASD / arrow keys and + I'll use your mouse as a web slinging target. + + ) : ( + <> + Don't mind me. I'm just here to keep you company. +
    + You can move me around by clicking and dragging or control me with WASD / arrow keys. + + )}

    @@ -138,13 +155,33 @@ function HedgehogAccessories(): JSX.Element { function HedgehogColor(): JSX.Element { const { hedgehogConfig } = useValues(hedgehogBuddyLogic) const { patchHedgehogConfig } = useActions(hedgehogBuddyLogic) + const skinSpiderHogEnabled = !!useFeatureFlag('HEDGEHOG_SKIN_SPIDERHOG') + + const skins: HedgehogSkin[] = skinSpiderHogEnabled ? ['default', 'spiderhog'] : ['default'] return ( <> -

    Colors

    +

    Skins and colors

    - {[null, ...Object.keys(COLOR_TO_FILTER_MAP)].map((option) => ( + {skins.map((option) => ( + patchHedgehogConfig({ skin: option as any, color: null })} + noPadding + tooltip={<>{capitalizeFirstLetter(option ?? 'default')}} + > + + + ))} + {[...Object.keys(COLOR_TO_FILTER_MAP)].map((option) => ( patchHedgehogConfig({ color: option as any })} + onClick={() => patchHedgehogConfig({ color: option as any, skin: 'default' })} noPadding tooltip={<>{capitalizeFirstLetter(option ?? 'default')}} > diff --git a/frontend/src/lib/components/HedgehogBuddy/sprites/sprites.tsx b/frontend/src/lib/components/HedgehogBuddy/sprites/sprites.tsx index 273b97a59ead5..46c30dcbcd866 100644 --- a/frontend/src/lib/components/HedgehogBuddy/sprites/sprites.tsx +++ b/frontend/src/lib/components/HedgehogBuddy/sprites/sprites.tsx @@ -1,10 +1,13 @@ +import { inStorybook } from 'lib/utils' + import { toolbarConfigLogic } from '~/toolbar/toolbarConfigLogic' +import { HedgehogSkin } from '~/types' export const SPRITE_SIZE = 80 export const SHADOW_HEIGHT = SPRITE_SIZE / 8 export const SPRITE_SHEET_WIDTH = SPRITE_SIZE * 8 -type SpriteInfo = { +export type SpriteInfo = { /** Number of frames in this sprite sheet */ frames: number /** Path to the sprite sheet */ @@ -16,6 +19,8 @@ type SpriteInfo = { /** How likely this animation is to be chosen. Higher numbers are more likely. */ randomChance?: number accessoryPositions?: [number, number][] + filter?: string + style?: React.CSSProperties } export const accessoryGroups = ['headwear', 'eyewear', 'other'] as const @@ -28,11 +33,13 @@ export type AccessoryInfo = { // If loaded via the toolbar the root domain won't be app.posthog.com and so the assets won't load // Simple workaround is we detect if the domain is localhost and if not we just use https://us.posthog.com -export const baseSpritePath = (): string => { +const baseSpritePath = (): string => { let path = `/static/hedgehog/sprites` const toolbarAPIUrl = toolbarConfigLogic.findMounted()?.values.apiURL - if (window.location.hostname !== 'localhost') { + if (inStorybook()) { + // Nothing to do + } else if (window.location.hostname !== 'localhost') { path = `https://us.posthog.com${path}` } else if (toolbarAPIUrl) { path = `${toolbarAPIUrl}${path}` @@ -40,9 +47,24 @@ export const baseSpritePath = (): string => { return path } -export const baseSpriteAccessoriesPath = (): string => `${baseSpritePath()}/accessories` +const baseSpriteAccessoriesPath = (): string => `${baseSpritePath()}/accessories` + +export const spriteUrl = (skin: HedgehogSkin, img: string): string => { + return `${baseSpritePath()}/skins/${skin}/${img}.png` +} -export const standardAnimations: { [key: string]: SpriteInfo } = { +export const spriteOverlayUrl = (img: string): string => { + return `${baseSpritePath()}/overlays/${img}.png` +} + +export const spriteAccessoryUrl = (img: string): string => { + return `${baseSpriteAccessoriesPath()}/${img}.png` +} + +const animationsNames = ['stop', 'fall', 'jump', 'sign', 'walk', 'wave', 'flag', 'inspect', 'phone', 'action'] as const +export type AnimationName = (typeof animationsNames)[number] + +const standardAnimations: Record = { stop: { img: 'wave', frames: 1, @@ -92,12 +114,6 @@ export const standardAnimations: { [key: string]: SpriteInfo } = { maxIteration: 1, randomChance: 2, }, - heatmaps: { - img: 'heatmaps', - frames: 14, - maxIteration: 1, - randomChance: 0, - }, flag: { img: 'flag', frames: 25, @@ -124,6 +140,21 @@ export const standardAnimations: { [key: string]: SpriteInfo } = { }, } +const overlayAnimationsNames = ['fire'] as const + +export type OverlayAnimationName = (typeof overlayAnimationsNames)[number] + +export const overlayAnimations: Record = { + fire: { + img: 'fire', + frames: 14, + maxIteration: 1, + style: { + opacity: 0.75, + }, + }, +} + export const standardAccessories: { [key: string]: AccessoryInfo } = { beret: { img: 'beret', @@ -191,3 +222,14 @@ export const standardAccessories: { [key: string]: AccessoryInfo } = { group: 'other', }, } + +export const skins: Record = { + default: standardAnimations, + spiderhog: { + stop: standardAnimations.stop, + fall: standardAnimations.fall, + jump: standardAnimations.jump, + walk: standardAnimations.walk, + wave: standardAnimations.wave, + }, +} diff --git a/frontend/src/lib/constants.tsx b/frontend/src/lib/constants.tsx index c675af662f4d0..f5e94a2e13af6 100644 --- a/frontend/src/lib/constants.tsx +++ b/frontend/src/lib/constants.tsx @@ -214,6 +214,7 @@ export const FEATURE_FLAGS = { DATA_MODELING: 'data-modeling', // owner: @EDsCODE #team-data-warehouse WEB_ANALYTICS_CONVERSION_GOALS: 'web-analytics-conversion-goals', // owner: @robbie-c WEB_ANALYTICS_LAST_CLICK: 'web-analytics-last-click', // owner: @robbie-c + HEDGEHOG_SKIN_SPIDERHOG: 'hedgehog-skin-spiderhog', // owner: @benjackwhite } as const export type FeatureFlagKey = (typeof FEATURE_FLAGS)[keyof typeof FEATURE_FLAGS] diff --git a/frontend/src/lib/utils.tsx b/frontend/src/lib/utils.tsx index b95beb0d7ecfb..984708383ed16 100644 --- a/frontend/src/lib/utils.tsx +++ b/frontend/src/lib/utils.tsx @@ -1676,6 +1676,10 @@ export function inStorybookTestRunner(): boolean { return navigator.userAgent.includes('StorybookTestRunner') } +export function inStorybook(): boolean { + return '__STORYBOOK_CLIENT_API__' in window +} + /** We issue a cancel request, when the request is aborted or times out (frontend side), since in these cases the backend query might still be running. */ export function shouldCancelQuery(error: any): boolean { return isAbortedRequest(error) || isTimedOutRequest(error) diff --git a/frontend/src/scenes/max/Max.tsx b/frontend/src/scenes/max/Max.tsx index 594ca3344aed3..65909db171a5a 100644 --- a/frontend/src/scenes/max/Max.tsx +++ b/frontend/src/scenes/max/Max.tsx @@ -3,13 +3,13 @@ import './Max.scss' import { LemonButton, LemonInput, Spinner } from '@posthog/lemon-ui' import clsx from 'clsx' import { useActions, useValues } from 'kea' -import { HedgehogBuddyStatic } from 'lib/components/HedgehogBuddy/HedgehogBuddyRender' +import { HedgehogBuddy } from 'lib/components/HedgehogBuddy/HedgehogBuddy' +import { hedgehogBuddyLogic } from 'lib/components/HedgehogBuddy/hedgehogBuddyLogic' import { FEATURE_FLAGS } from 'lib/constants' import { featureFlagLogic } from 'lib/logic/featureFlagLogic' import { uuid } from 'lib/utils' import React, { useState } from 'react' import { SceneExport } from 'scenes/sceneTypes' -import { userLogic } from 'scenes/userLogic' import { queryNodeToFilter } from '~/queries/nodes/InsightQuery/utils/queryNodeToFilter' import { Query } from '~/queries/Query/Query' @@ -41,8 +41,8 @@ function Message({ } export function Max(): JSX.Element | null { - const { user } = useValues(userLogic) const { featureFlags } = useValues(featureFlagLogic) + const { hedgehogConfig } = useValues(hedgehogBuddyLogic) const logic = maxLogic({ sessionId: uuid(), @@ -118,12 +118,16 @@ export function Max(): JSX.Element | null { )}
    -
    - + actor.setAnimation('wave')} + onActorLoaded={(actor) => actor.setAnimation('wave')} />
    ([ setVisibleMenu: ({ visibleMenu }) => { if (visibleMenu === 'heatmap') { actions.enableHeatmap() - values.hedgehogActor?.setAnimation('heatmaps') + values.hedgehogActor?.setOnFire(1) } else if (visibleMenu === 'actions') { actions.showButtonActions() values.hedgehogActor?.setAnimation('action') diff --git a/frontend/src/toolbar/hedgehog/HedgehogButton.tsx b/frontend/src/toolbar/hedgehog/HedgehogButton.tsx index d0082012e0367..22403fa431ffb 100644 --- a/frontend/src/toolbar/hedgehog/HedgehogButton.tsx +++ b/frontend/src/toolbar/hedgehog/HedgehogButton.tsx @@ -15,7 +15,7 @@ export function HedgehogButton(): JSX.Element { useEffect(() => { if (heatmapEnabled) { - hedgehogActor?.setAnimation('heatmaps') + hedgehogActor?.setOnFire(1) } }, [heatmapEnabled]) diff --git a/frontend/src/types.ts b/frontend/src/types.ts index 56544e25f9fd8..94cedbd1c1566 100644 --- a/frontend/src/types.ts +++ b/frontend/src/types.ts @@ -295,9 +295,12 @@ export interface MinimalHedgehogConfig { accessories: string[] } +export type HedgehogSkin = 'default' | 'spiderhog' + export interface HedgehogConfig extends MinimalHedgehogConfig { enabled: boolean color: HedgehogColorOptions | null + skin?: HedgehogSkin accessories: string[] walking_enabled: boolean interactions_enabled: boolean From 1fb2ec9fc542a5ddd8fcf72e5bb4c9dbf4f48f92 Mon Sep 17 00:00:00 2001 From: PostHog Bot <69588470+posthog-bot@users.noreply.github.com> Date: Mon, 9 Sep 2024 12:37:26 -0400 Subject: [PATCH 48/66] chore(deps): Update posthog-js to 1.161.1 (#24866) --- package.json | 2 +- pnpm-lock.yaml | 8 ++++---- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/package.json b/package.json index 68299b73b864f..ca21e923e23ad 100644 --- a/package.json +++ b/package.json @@ -149,7 +149,7 @@ "pmtiles": "^2.11.0", "postcss": "^8.4.31", "postcss-preset-env": "^9.3.0", - "posthog-js": "1.161.0", + "posthog-js": "1.161.1", "posthog-js-lite": "3.0.0", "prettier": "^2.8.8", "prop-types": "^15.7.2", diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml index 2bc645782463a..79813cc6c2725 100644 --- a/pnpm-lock.yaml +++ b/pnpm-lock.yaml @@ -269,8 +269,8 @@ dependencies: specifier: ^9.3.0 version: 9.3.0(postcss@8.4.31) posthog-js: - specifier: 1.161.0 - version: 1.161.0 + specifier: 1.161.1 + version: 1.161.1 posthog-js-lite: specifier: 3.0.0 version: 3.0.0 @@ -17674,8 +17674,8 @@ packages: resolution: {integrity: sha512-dyajjnfzZD1tht4N7p7iwf7nBnR1MjVaVu+MKr+7gBgA39bn28wizCIJZztZPtHy4PY0YwtSGgwfBCuG/hnHgA==} dev: false - /posthog-js@1.161.0: - resolution: {integrity: sha512-P17q2s77/p7QPWrIhp9uAXVaLT8SwrdNh6W2QOilAMllOYMxD6Lzj4C8JW3NeqlL+nGbViCPpLmkUWuvWnGVLQ==} + /posthog-js@1.161.1: + resolution: {integrity: sha512-l897s6jjQUHfXDNjy6+CqIhRH/h5Up1Cr7PM2phq3Im+4zd66IJNJ7aSmMjP/HvQq/s16XO1LfGAGEPdbBr/xw==} dependencies: fflate: 0.4.8 preact: 10.23.2 From 46c9a320543a21a2787af5209ea5805680e77334 Mon Sep 17 00:00:00 2001 From: Eric Duong Date: Mon, 9 Sep 2024 13:48:53 -0400 Subject: [PATCH 49/66] chore(data-warehouse): enable logging (#24867) --- posthog/temporal/data_imports/pipelines/pipeline.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/posthog/temporal/data_imports/pipelines/pipeline.py b/posthog/temporal/data_imports/pipelines/pipeline.py index 0dbfd8f5c3fd7..273a4df0994e2 100644 --- a/posthog/temporal/data_imports/pipelines/pipeline.py +++ b/posthog/temporal/data_imports/pipelines/pipeline.py @@ -96,9 +96,7 @@ def _create_pipeline(self): destination = self._get_destination() return dlt.pipeline( - pipeline_name=pipeline_name, - destination=destination, - dataset_name=self.inputs.dataset_name, + pipeline_name=pipeline_name, destination=destination, dataset_name=self.inputs.dataset_name, progress="log" ) async def _prepare_s3_files_for_querying(self, file_uris: list[str]): From 5630444abb0fddac8b6abc59c9e8da2660b6ac42 Mon Sep 17 00:00:00 2001 From: Eric Duong Date: Mon, 9 Sep 2024 22:15:56 -0400 Subject: [PATCH 50/66] chore(data-warehouse): add psutil (#24875) --- requirements.in | 1 + requirements.txt | 2 ++ 2 files changed, 3 insertions(+) diff --git a/requirements.in b/requirements.in index 959a0b2dc75de..2a2a7c6e3b9b9 100644 --- a/requirements.in +++ b/requirements.in @@ -59,6 +59,7 @@ paramiko==3.4.0 Pillow==10.2.0 pdpyras==5.2.0 posthoganalytics==3.5.0 +psutil==6.0.0 psycopg2-binary==2.9.7 pymssql==2.3.0 PyMySQL==1.1.1 diff --git a/requirements.txt b/requirements.txt index e31cbdd5d09bd..0289e2e505d1b 100644 --- a/requirements.txt +++ b/requirements.txt @@ -448,6 +448,8 @@ protobuf==4.22.1 # grpcio-status # proto-plus # temporalio +psutil==6.0.0 + # via -r requirements.in psycopg==3.1.20 # via -r requirements.in psycopg-binary==3.1.20 From ca766ee0bf4392ab2034b7c6dc436eb13da20cf4 Mon Sep 17 00:00:00 2001 From: Ben White Date: Tue, 10 Sep 2024 09:05:30 +0200 Subject: [PATCH 51/66] feat(cdp): Use cyclotron part 2 (#24746) --- .github/workflows/ci-plugin-server.yml | 29 +- .vscode/launch.json | 3 +- bin/migrate | 6 + bin/start-cyclotron | 2 +- plugin-server/package.json | 3 +- plugin-server/src/cdp/cdp-api.ts | 14 +- plugin-server/src/cdp/cdp-consumers.ts | 370 ++++++++++++------ plugin-server/src/cdp/fetch-executor.ts | 28 +- plugin-server/src/cdp/hog-executor.ts | 41 +- plugin-server/src/cdp/hog-function-manager.ts | 2 + plugin-server/src/cdp/types.ts | 8 +- plugin-server/src/cdp/utils.ts | 13 +- plugin-server/src/config/config.ts | 10 +- plugin-server/src/main/pluginsServer.ts | 34 +- plugin-server/src/types.ts | 4 +- plugin-server/src/utils/status.ts | 14 +- plugin-server/tests/cdp/cdp-e2e.test.ts | 225 +++++++++++ ...test.ts => cdp-function-processor.test.ts} | 7 +- .../cdp/cdp-processed-events-consumer.test.ts | 191 ++++----- .../tests/cdp/helpers/kafka-observer.ts | 72 ++++ plugin-server/tests/cdp/hog-executor.test.ts | 32 +- .../tests/cdp/hog-function-manager.test.ts | 1 + plugin-server/tests/helpers/expectations.ts | 17 + rust/bin/migrate-cyclotron | 10 + rust/cyclotron-node/src/helpers.ts | 30 ++ rust/cyclotron-node/src/index.ts | 225 +---------- rust/cyclotron-node/src/manager.ts | 39 ++ rust/cyclotron-node/src/types.ts | 48 +++ rust/cyclotron-node/src/worker.ts | 120 ++++++ 29 files changed, 1069 insertions(+), 529 deletions(-) create mode 100644 plugin-server/tests/cdp/cdp-e2e.test.ts rename plugin-server/tests/cdp/{cdp-consumer.e2e.test.ts => cdp-function-processor.test.ts} (97%) create mode 100644 plugin-server/tests/cdp/helpers/kafka-observer.ts create mode 100644 plugin-server/tests/helpers/expectations.ts create mode 100755 rust/bin/migrate-cyclotron create mode 100644 rust/cyclotron-node/src/helpers.ts create mode 100644 rust/cyclotron-node/src/manager.ts create mode 100644 rust/cyclotron-node/src/types.ts create mode 100644 rust/cyclotron-node/src/worker.ts diff --git a/.github/workflows/ci-plugin-server.yml b/.github/workflows/ci-plugin-server.yml index a24eaf53d4e69..03888d2268bc7 100644 --- a/.github/workflows/ci-plugin-server.yml +++ b/.github/workflows/ci-plugin-server.yml @@ -57,7 +57,6 @@ jobs: defaults: run: working-directory: 'plugin-server' - steps: - uses: actions/checkout@v3 @@ -82,6 +81,7 @@ jobs: tests: name: Plugin Server Tests (${{matrix.shard}}) needs: changes + if: needs.changes.outputs.plugin-server == 'true' runs-on: ubuntu-latest strategy: @@ -97,21 +97,17 @@ jobs: steps: - name: Code check out - if: needs.changes.outputs.plugin-server == 'true' uses: actions/checkout@v3 - name: Stop/Start stack with Docker Compose - if: needs.changes.outputs.plugin-server == 'true' run: | docker compose -f docker-compose.dev.yml down docker compose -f docker-compose.dev.yml up -d - name: Add Kafka to /etc/hosts - if: needs.changes.outputs.plugin-server == 'true' run: echo "127.0.0.1 kafka" | sudo tee -a /etc/hosts - name: Set up Python - if: needs.changes.outputs.plugin-server == 'true' uses: actions/setup-python@v5 with: python-version: 3.11.9 @@ -122,24 +118,35 @@ jobs: # uv is a fast pip alternative: https://github.com/astral-sh/uv/ - run: pip install uv + - name: Install rust + uses: dtolnay/rust-toolchain@1.77 + + - uses: actions/cache@v4 + with: + path: | + ~/.cargo/registry + ~/.cargo/git + rust/target + key: ${{ runner.os }}-cargo-release-${{ hashFiles('**/Cargo.lock') }} + + - name: Install sqlx-cli + working-directory: rust + run: cargo install sqlx-cli@0.7.3 --no-default-features --features native-tls,postgres + - name: Install SAML (python3-saml) dependencies - if: needs.changes.outputs.plugin-server == 'true' run: | sudo apt-get update sudo apt-get install libxml2-dev libxmlsec1-dev libxmlsec1-openssl - name: Install python dependencies - if: needs.changes.outputs.plugin-server == 'true' run: | uv pip install --system -r requirements-dev.txt uv pip install --system -r requirements.txt - name: Install pnpm - if: needs.changes.outputs.plugin-server == 'true' uses: pnpm/action-setup@v4 - name: Set up Node.js - if: needs.changes.outputs.plugin-server == 'true' uses: actions/setup-node@v4 with: node-version: 18.12.1 @@ -147,17 +154,14 @@ jobs: cache-dependency-path: plugin-server/pnpm-lock.yaml - name: Install package.json dependencies with pnpm - if: needs.changes.outputs.plugin-server == 'true' run: cd plugin-server && pnpm i - name: Wait for Clickhouse, Redis & Kafka - if: needs.changes.outputs.plugin-server == 'true' run: | docker compose -f docker-compose.dev.yml up kafka redis clickhouse -d --wait bin/check_kafka_clickhouse_up - name: Set up databases - if: needs.changes.outputs.plugin-server == 'true' env: TEST: 'true' SECRET_KEY: 'abcdef' # unsafe - for testing only @@ -165,7 +169,6 @@ jobs: run: cd plugin-server && pnpm setup:test - name: Test with Jest - if: needs.changes.outputs.plugin-server == 'true' env: # Below DB name has `test_` prepended, as that's how Django (ran above) creates the test DB DATABASE_URL: 'postgres://posthog:posthog@localhost:5432/test_posthog' diff --git a/.vscode/launch.json b/.vscode/launch.json index 389be51af0c57..88f00c46c9502 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -119,7 +119,8 @@ "WORKER_CONCURRENCY": "2", "OBJECT_STORAGE_ENABLED": "True", "HOG_HOOK_URL": "http://localhost:3300/hoghook", - "CDP_ASYNC_FUNCTIONS_RUSTY_HOOK_TEAMS": "" + "CDP_ASYNC_FUNCTIONS_RUSTY_HOOK_TEAMS": "", + "CDP_CYCLOTRON_ENABLED_TEAMS": "*" }, "presentation": { "group": "main" diff --git a/bin/migrate b/bin/migrate index 1c32b3b5b0614..2f2aa49ed749b 100755 --- a/bin/migrate +++ b/bin/migrate @@ -1,5 +1,11 @@ #!/bin/bash set -e +SCRIPT_DIR=$(dirname "$(readlink -f "$0")") + +# NOTE when running in docker, rust might not exist so we need to check for it +if [ -d "$SCRIPT_DIR/../rust" ]; then + bash $SCRIPT_DIR/../rust/bin/migrate-cyclotron +fi python manage.py migrate python manage.py migrate_clickhouse diff --git a/bin/start-cyclotron b/bin/start-cyclotron index 074ec4802d0a4..2885390287c0f 100755 --- a/bin/start-cyclotron +++ b/bin/start-cyclotron @@ -12,7 +12,7 @@ export RUST_LOG=${DEBUG:-debug} SQLX_QUERY_LEVEL=${SQLX_QUERY_LEVEL:-warn} export RUST_LOG=$RUST_LOG,sqlx::query=$SQLX_QUERY_LEVEL -export DATABASE_URL=${DATABASE_URL:-postgres://posthog:posthog@localhost:5432/posthog} +export DATABASE_URL=${CYCLOTRON_DATABASE_URL:-postgres://posthog:posthog@localhost:5432/cyclotron} export ALLOW_INTERNAL_IPS=${ALLOW_INTERNAL_IPS:-true} ./target/debug/cyclotron-fetch & diff --git a/plugin-server/package.json b/plugin-server/package.json index 5189b589fb2c9..452011ada2a02 100644 --- a/plugin-server/package.json +++ b/plugin-server/package.json @@ -23,7 +23,8 @@ "prettier:check": "prettier --check .", "prepublishOnly": "pnpm build", "setup:dev:clickhouse": "cd .. && DEBUG=1 python manage.py migrate_clickhouse", - "setup:test": "cd .. && TEST=1 python manage.py setup_test_environment", + "setup:test": "cd .. && TEST=1 python manage.py setup_test_environment && cd plugin-server && pnpm run setup:test:cyclotron", + "setup:test:cyclotron": "CYCLOTRON_DATABASE_NAME=test_cyclotron ../rust/bin/migrate-cyclotron", "services:start": "cd .. && docker compose -f docker-compose.dev.yml up", "services:stop": "cd .. && docker compose -f docker-compose.dev.yml down", "services:clean": "cd .. && docker compose -f docker-compose.dev.yml rm -v", diff --git a/plugin-server/src/cdp/cdp-api.ts b/plugin-server/src/cdp/cdp-api.ts index 34de05942471e..cfc70e7f1b8fc 100644 --- a/plugin-server/src/cdp/cdp-api.ts +++ b/plugin-server/src/cdp/cdp-api.ts @@ -9,7 +9,7 @@ import { HogExecutor } from './hog-executor' import { HogFunctionManager } from './hog-function-manager' import { HogWatcher, HogWatcherState } from './hog-watcher' import { HogFunctionInvocationResult, HogFunctionType, LogEntry } from './types' -import { createInvocation } from './utils' +import { createInvocation, queueBlobToString } from './utils' export class CdpApi { private hogExecutor: HogExecutor @@ -144,11 +144,19 @@ export class CdpApi { if (invocation.queue === 'fetch') { if (mock_async_functions) { // Add the state, simulating what executeAsyncResponse would do + + // Re-parse the fetch args for the logging + const fetchArgs = { + ...invocation.queueParameters, + body: queueBlobToString(invocation.queueBlob), + } + response = { invocation: { ...invocation, queue: 'hog', - queueParameters: { response: { status: 200, body: {} } }, + queueParameters: { response: { status: 200 } }, + queueBlob: Buffer.from('{}'), }, finished: false, logs: [ @@ -160,7 +168,7 @@ export class CdpApi { { level: 'info', timestamp: DateTime.now(), - message: `fetch(${JSON.stringify(invocation.queueParameters, null, 2)})`, + message: `fetch(${JSON.stringify(fetchArgs, null, 2)})`, }, ], } diff --git a/plugin-server/src/cdp/cdp-consumers.ts b/plugin-server/src/cdp/cdp-consumers.ts index 8c4eec5e11951..f75b2a23096e5 100644 --- a/plugin-server/src/cdp/cdp-consumers.ts +++ b/plugin-server/src/cdp/cdp-consumers.ts @@ -1,8 +1,9 @@ -import cyclotron from '@posthog/cyclotron' +import { CyclotronJob, CyclotronManager, CyclotronWorker } from '@posthog/cyclotron' import { captureException } from '@sentry/node' import { Message } from 'node-rdkafka' import { Counter, Histogram } from 'prom-client' +import { buildIntegerMatcher } from '../config/config' import { KAFKA_APP_METRICS_2, KAFKA_CDP_FUNCTION_CALLBACKS, @@ -14,7 +15,15 @@ import { BatchConsumer, startBatchConsumer } from '../kafka/batch-consumer' import { createRdConnectionConfigFromEnvVars } from '../kafka/config' import { addSentryBreadcrumbsEventListeners } from '../main/ingestion-queues/kafka-metrics' import { runInstrumentedFunction } from '../main/utils' -import { AppMetric2Type, Hub, PluginServerService, RawClickHouseEvent, TeamId, TimestampFormat } from '../types' +import { + AppMetric2Type, + Hub, + PluginServerService, + RawClickHouseEvent, + TeamId, + TimestampFormat, + ValueMatcher, +} from '../types' import { createKafkaProducerWrapper } from '../utils/db/hub' import { KafkaProducerWrapper } from '../utils/db/kafka-producer-wrapper' import { captureTeamEvent } from '../utils/posthog' @@ -31,6 +40,7 @@ import { CdpRedis, createCdpRedisPool } from './redis' import { HogFunctionInvocation, HogFunctionInvocationGlobals, + HogFunctionInvocationQueueParameters, HogFunctionInvocationResult, HogFunctionInvocationSerialized, HogFunctionInvocationSerializedCompressed, @@ -44,7 +54,7 @@ import { createInvocation, gzipObject, prepareLogEntriesForClickhouse, - serializeInvocation, + serializeHogFunctionInvocation, unGzipObject, } from './utils' @@ -88,8 +98,6 @@ abstract class CdpConsumerBase { protected kafkaProducer?: KafkaProducerWrapper protected abstract name: string - protected abstract topic: string - protected abstract consumerGroupId: string protected heartbeat = () => {} @@ -108,7 +116,7 @@ abstract class CdpConsumerBase { public get service(): PluginServerService { return { - id: this.consumerGroupId, + id: this.name, onShutdown: async () => await this.stop(), healthcheck: () => this.isHealthy() ?? false, batchConsumer: this.batchConsumer, @@ -156,8 +164,6 @@ abstract class CdpConsumerBase { return results } - protected abstract _handleKafkaBatch(messages: Message[]): Promise - protected async produceQueuedMessages() { const messages = [...this.messagesToProduce] this.messagesToProduce = [] @@ -205,20 +211,23 @@ abstract class CdpConsumerBase { }) } - protected async queueInvocations(invocation: HogFunctionInvocation[]) { + // NOTE: These will be removed once we are only on Cyclotron + protected async queueInvocationsToKafka(invocation: HogFunctionInvocation[]) { await Promise.all( invocation.map(async (item) => { - await this.queueInvocation(item) + await this.queueInvocationToKafka(item) }) ) } - protected async queueInvocation(invocation: HogFunctionInvocation) { - // TODO: Add cylcotron check here and enqueue that way - // For now we just enqueue to kafka - // For kafka style this is overkill to enqueue this way but it simplifies migrating to the new system + protected async queueInvocationToKafka(invocation: HogFunctionInvocation) { + // NOTE: WE keep the queueParams args as kafka land still needs them + const serializedInvocation: HogFunctionInvocationSerialized = { + ...invocation, + hogFunctionId: invocation.hogFunction.id, + } - const serializedInvocation = serializeInvocation(invocation) + delete (serializedInvocation as any).hogFunction const request: HogFunctionInvocationSerializedCompressed = { state: await gzipObject(serializedInvocation), @@ -234,12 +243,22 @@ abstract class CdpConsumerBase { } protected async processInvocationResults(results: HogFunctionInvocationResult[]): Promise { - await runInstrumentedFunction({ + return await runInstrumentedFunction({ statsKey: `cdpConsumer.handleEachBatch.produceResults`, func: async () => { + await this.hogWatcher.observeResults(results) + await Promise.all( results.map(async (result) => { - // Tricky: We want to pull all the logs out as we don't want them to be passed around to any subsequent functions + if (result.finished || result.error) { + this.produceAppMetric({ + team_id: result.invocation.teamId, + app_source_id: result.invocation.hogFunction.id, + metric_kind: result.error ? 'failure' : 'success', + metric_name: result.error ? 'failed' : 'succeeded', + count: 1, + }) + } this.produceLogs(result) @@ -258,30 +277,20 @@ abstract class CdpConsumerBase { key: `${team!.api_token}:${event.distinct_id}`, }) } - - if (result.finished || result.error) { - this.produceAppMetric({ - team_id: result.invocation.teamId, - app_source_id: result.invocation.hogFunction.id, - metric_kind: result.error ? 'failure' : 'success', - metric_name: result.error ? 'failed' : 'succeeded', - count: 1, - }) - } else { - // Means there is follow up so we enqueue it - await this.queueInvocation(result.invocation) - } }) ) }, }) } - protected async startKafkaConsumer() { + protected async startKafkaConsumer(options: { + topic: string + groupId: string + handleBatch: (messages: Message[]) => Promise + }): Promise { this.batchConsumer = await startBatchConsumer({ + ...options, connectionConfig: createRdConnectionConfigFromEnvVars(this.hub), - groupId: this.consumerGroupId, - topic: this.topic, autoCommit: true, sessionTimeout: this.hub.KAFKA_CONSUMPTION_SESSION_TIMEOUT_MS, maxPollIntervalMs: this.hub.KAFKA_CONSUMPTION_MAX_POLL_INTERVAL_MS, @@ -312,7 +321,7 @@ abstract class CdpConsumerBase { statsKey: `cdpConsumer.handleEachBatch`, sendTimeoutGuardToSentry: false, func: async () => { - await this._handleKafkaBatch(messages) + await options.handleBatch(messages) }, }) }, @@ -322,6 +331,9 @@ abstract class CdpConsumerBase { addSentryBreadcrumbsEventListeners(this.batchConsumer.consumer) this.batchConsumer.consumer.on('disconnected', async (err) => { + if (!this.isStopping) { + return + } // since we can't be guaranteed that the consumer will be stopped before some other code calls disconnect // we need to listen to disconnect and make sure we're stopped status.info('🔁', `${this.name} batch consumer disconnected, cleaning up`, { err }) @@ -333,15 +345,11 @@ abstract class CdpConsumerBase { // NOTE: This is only for starting shared services await Promise.all([ this.hogFunctionManager.start(), - this.hub.CYCLOTRON_DATABASE_URL - ? cyclotron.initManager({ shards: [{ dbUrl: this.hub.CYCLOTRON_DATABASE_URL }] }) - : Promise.resolve(), + createKafkaProducerWrapper(this.hub).then((producer) => { + this.kafkaProducer = producer + this.kafkaProducer.producer.connect() + }), ]) - - this.kafkaProducer = await createKafkaProducerWrapper(this.hub) - this.kafkaProducer.producer.connect() - - await this.startKafkaConsumer() } public async stop(): Promise { @@ -360,20 +368,27 @@ abstract class CdpConsumerBase { } public isHealthy() { - // TODO: Check either kafka consumer or cyclotron worker exists - // and that whatever exists is healthy return this.batchConsumer?.isHealthy() } } /** * This consumer handles incoming events from the main clickhouse topic + * Currently it produces to both kafka and Cyclotron based on the team */ - export class CdpProcessedEventsConsumer extends CdpConsumerBase { protected name = 'CdpProcessedEventsConsumer' - protected topic = KAFKA_EVENTS_JSON - protected consumerGroupId = 'cdp-processed-events-consumer' + private cyclotronMatcher: ValueMatcher + private cyclotronManager?: CyclotronManager + + constructor(hub: Hub) { + super(hub) + this.cyclotronMatcher = buildIntegerMatcher(hub.CDP_CYCLOTRON_ENABLED_TEAMS, true) + } + + private cyclotronEnabled(invocation: HogFunctionInvocation): boolean { + return !!(this.cyclotronManager && this.cyclotronMatcher(invocation.globals.project.id)) + } public async processBatch(invocationGlobals: HogFunctionInvocationGlobals[]): Promise { if (!invocationGlobals.length) { @@ -384,23 +399,48 @@ export class CdpProcessedEventsConsumer extends CdpConsumerBase { this.createHogFunctionInvocations(invocationGlobals) ) - if (this.hub.CDP_EVENT_PROCESSOR_EXECUTE_FIRST_STEP) { - // NOTE: This is for testing the two ways of enqueueing processing. It will be swapped out for a cyclotron env check - // Kafka based workflow + // Split out the cyclotron invocations + const [cyclotronInvocations, kafkaInvocations] = invocationsToBeQueued.reduce( + (acc, item) => { + if (this.cyclotronEnabled(item)) { + acc[0].push(item) + } else { + acc[1].push(item) + } + + return acc + }, + [[], []] as [HogFunctionInvocation[], HogFunctionInvocation[]] + ) + + // For the cyclotron ones we simply create the jobs + await Promise.all( + cyclotronInvocations.map((item) => + this.cyclotronManager?.createJob({ + teamId: item.globals.project.id, + functionId: item.hogFunction.id, + queueName: 'hog', + priority: item.priority, + vmState: serializeHogFunctionInvocation(item), + }) + ) + ) + + if (kafkaInvocations.length) { + // As we don't want to over-produce to kafka we invoke the hog functions and then queue the results const invocationResults = await runInstrumentedFunction({ statsKey: `cdpConsumer.handleEachBatch.executeInvocations`, func: async () => { - const hogResults = await this.runManyWithHeartbeat(invocationsToBeQueued, (item) => + const hogResults = await this.runManyWithHeartbeat(kafkaInvocations, (item) => this.hogExecutor.execute(item) ) return [...hogResults] }, }) - await this.hogWatcher.observeResults(invocationResults) await this.processInvocationResults(invocationResults) - } else { - await this.queueInvocations(invocationsToBeQueued) + const newInvocations = invocationResults.filter((r) => !r.finished).map((r) => r.invocation) + await this.queueInvocationsToKafka(newInvocations) } await this.produceQueuedMessages() @@ -411,7 +451,6 @@ export class CdpProcessedEventsConsumer extends CdpConsumerBase { /** * Finds all matching hog functions for the given globals. * Filters them for their disabled state as well as masking configs - * */ protected async createHogFunctionInvocations( invocationGlobals: HogFunctionInvocationGlobals[] @@ -444,8 +483,10 @@ export class CdpProcessedEventsConsumer extends CdpConsumerBase { }) const states = await this.hogWatcher.getStates(possibleInvocations.map((x) => x.hogFunction.id)) + const validInvocations: HogFunctionInvocation[] = [] - const notDisabledInvocations = possibleInvocations.filter((item) => { + // Iterate over adding them to the list and updating their priority + possibleInvocations.forEach((item) => { const state = states[item.hogFunction.id].state if (state >= HogWatcherState.disabledForPeriod) { this.produceAppMetric({ @@ -458,15 +499,19 @@ export class CdpProcessedEventsConsumer extends CdpConsumerBase { : 'disabled_permanently', count: 1, }) - return false + return } - return true + if (state === HogWatcherState.degraded) { + item.priority = 2 + } + + validInvocations.push(item) }) // Now we can filter by masking configs const { masked, notMasked: notMaskedInvocations } = await this.hogMasker.filterByMasking( - notDisabledInvocations + validInvocations ) masked.forEach((item) => { @@ -525,15 +570,28 @@ export class CdpProcessedEventsConsumer extends CdpConsumerBase { await this.processBatch(invocationGlobals) } + + public async start(): Promise { + await super.start() + await this.startKafkaConsumer({ + topic: KAFKA_EVENTS_JSON, + groupId: 'cdp-processed-events-consumer', + handleBatch: (messages) => this._handleKafkaBatch(messages), + }) + + this.cyclotronManager = this.hub.CYCLOTRON_DATABASE_URL + ? new CyclotronManager({ shards: [{ dbUrl: this.hub.CYCLOTRON_DATABASE_URL }] }) + : undefined + + await this.cyclotronManager?.connect() + } } /** - * This consumer handles actually invoking hog in a loop + * This consumer only deals with kafka messages and will eventually be replaced by the Cyclotron worker */ export class CdpFunctionCallbackConsumer extends CdpConsumerBase { protected name = 'CdpFunctionCallbackConsumer' - protected topic = KAFKA_CDP_FUNCTION_CALLBACKS - protected consumerGroupId = 'cdp-function-callback-consumer' public async processBatch(invocations: HogFunctionInvocation[]): Promise { if (!invocations.length) { @@ -563,8 +621,9 @@ export class CdpFunctionCallbackConsumer extends CdpConsumerBase { }, }) - await this.hogWatcher.observeResults(invocationResults) await this.processInvocationResults(invocationResults) + const newInvocations = invocationResults.filter((r) => !r.finished).map((r) => r.invocation) + await this.queueInvocationsToKafka(newInvocations) await this.produceQueuedMessages() } @@ -640,52 +699,143 @@ export class CdpFunctionCallbackConsumer extends CdpConsumerBase { await this.processBatch(events) } + + public async start(): Promise { + await super.start() + await this.startKafkaConsumer({ + topic: KAFKA_CDP_FUNCTION_CALLBACKS, + groupId: 'cdp-function-callback-consumer', + handleBatch: (messages) => this._handleKafkaBatch(messages), + }) + } } -// // TODO: Split out non-Kafka specific parts of CdpConsumerBase so that it can be used by the -// // Cyclotron worker below. Or maybe we can just wait, and rip the Kafka bits out once Cyclotron is -// // shipped (and rename it something other than consumer, probably). For now, this is an easy way to -// // use existing code and get an end-to-end demo shipped. -// export class CdpCyclotronWorker extends CdpFunctionCallbackConsumer { -// protected name = 'CdpCyclotronWorker' -// protected topic = 'UNUSED-CdpCyclotronWorker' -// protected consumerGroupId = 'UNUSED-CdpCyclotronWorker' -// private runningWorker: Promise | undefined -// private isUnhealthy = false - -// private async innerStart() { -// try { -// const limit = 100 // TODO: Make configurable. -// while (!this.isStopping) { -// const jobs = await cyclotron.dequeueJobsWithVmState('hog', limit) -// // TODO: Decode jobs into the right types - -// await this.processBatch(jobs) -// } -// } catch (err) { -// this.isUnhealthy = true -// console.error('Error in Cyclotron worker', err) -// throw err -// } -// } - -// public async start() { -// await cyclotron.initManager({ shards: [{ dbUrl: this.hub.CYCLOTRON_DATABASE_URL }] }) -// await cyclotron.initWorker({ dbUrl: this.hub.CYCLOTRON_DATABASE_URL }) - -// // Consumer `start` expects an async task is started, and not that `start` itself blocks -// // indefinitely. -// this.runningWorker = this.innerStart() - -// return Promise.resolve() -// } - -// public async stop() { -// await super.stop() -// await this.runningWorker -// } - -// public isHealthy() { -// return this.isUnhealthy -// } -// } +/** + * The future of the CDP consumer. This will be the main consumer that will handle all hog jobs from Cyclotron + */ +export class CdpCyclotronWorker extends CdpConsumerBase { + protected name = 'CdpCyclotronWorker' + private cyclotronWorker?: CyclotronWorker + private runningWorker: Promise | undefined + protected queue: 'hog' | 'fetch' = 'hog' + + public async processBatch(invocations: HogFunctionInvocation[]): Promise { + if (!invocations.length) { + return + } + + const invocationResults = await runInstrumentedFunction({ + statsKey: `cdpConsumer.handleEachBatch.executeInvocations`, + func: async () => { + // NOTE: In the future this service will never do fetching (unless we decide we want to do it in node at some point) + // This is just "for now" to support the transition to cyclotron + const fetchQueue = invocations.filter((item) => item.queue === 'fetch') + const fetchResults = await this.runManyWithHeartbeat(fetchQueue, (item) => + this.fetchExecutor.execute(item) + ) + + const hogQueue = invocations.filter((item) => item.queue === 'hog') + const hogResults = await this.runManyWithHeartbeat(hogQueue, (item) => this.hogExecutor.execute(item)) + return [...hogResults, ...(fetchResults.filter(Boolean) as HogFunctionInvocationResult[])] + }, + }) + + await this.processInvocationResults(invocationResults) + await this.updateJobs(invocationResults) + await this.produceQueuedMessages() + } + + private async updateJobs(invocations: HogFunctionInvocationResult[]) { + await Promise.all( + invocations.map(async (item) => { + const id = item.invocation.id + if (item.error) { + status.debug('⚡️', 'Updating job to failed', id) + this.cyclotronWorker?.updateJob(id, 'failed') + } else if (item.finished) { + status.debug('⚡️', 'Updating job to completed', id) + this.cyclotronWorker?.updateJob(id, 'completed') + } else { + status.debug('⚡️', 'Updating job to available', id) + this.cyclotronWorker?.updateJob(id, 'available', { + priority: item.invocation.priority, + vmState: serializeHogFunctionInvocation(item.invocation), + queueName: item.invocation.queue, + parameters: item.invocation.queueParameters ?? null, + blob: item.invocation.queueBlob ?? null, + }) + } + await this.cyclotronWorker?.flushJob(id) + }) + ) + } + + private async handleJobBatch(jobs: CyclotronJob[]) { + const invocations: HogFunctionInvocation[] = [] + + for (const job of jobs) { + // NOTE: This is all a bit messy and might be better to refactor into a helper + if (!job.functionId) { + throw new Error('Bad job: ' + JSON.stringify(job)) + } + const hogFunction = this.hogFunctionManager.getHogFunction(job.functionId) + + if (!hogFunction) { + // Here we need to mark the job as failed + + status.error('Error finding hog function', { + id: job.functionId, + }) + this.cyclotronWorker?.updateJob(job.id, 'failed') + await this.cyclotronWorker?.flushJob(job.id) + continue + } + + const parsedState = job.vmState as HogFunctionInvocationSerialized + + invocations.push({ + id: job.id, + globals: parsedState.globals, + teamId: hogFunction.team_id, + hogFunction, + priority: job.priority, + queue: (job.queueName as any) ?? 'hog', + queueParameters: job.parameters as HogFunctionInvocationQueueParameters | undefined, + queueBlob: job.blob ?? undefined, + vmState: parsedState.vmState, + timings: parsedState.timings, + }) + } + + await this.processBatch(invocations) + } + + public async start() { + await super.start() + + this.cyclotronWorker = new CyclotronWorker({ + pool: { dbUrl: this.hub.CYCLOTRON_DATABASE_URL }, + queueName: this.queue, + includeVmState: true, + batchMaxSize: this.hub.CDP_CYCLOTRON_BATCH_SIZE, + pollDelayMs: this.hub.CDP_CYCLOTRON_BATCH_DELAY_MS, + }) + await this.cyclotronWorker.connect((jobs) => this.handleJobBatch(jobs)) + } + + public async stop() { + await super.stop() + await this.cyclotronWorker?.disconnect() + await this.runningWorker + } + + public isHealthy() { + return this.cyclotronWorker?.isHealthy() ?? false + } +} + +// Mostly used for testing +export class CdpCyclotronWorkerFetch extends CdpCyclotronWorker { + protected name = 'CdpCyclotronWorkerFetch' + protected queue = 'fetch' as const +} diff --git a/plugin-server/src/cdp/fetch-executor.ts b/plugin-server/src/cdp/fetch-executor.ts index 89900215ec1fd..8907fafc35239 100644 --- a/plugin-server/src/cdp/fetch-executor.ts +++ b/plugin-server/src/cdp/fetch-executor.ts @@ -12,7 +12,7 @@ import { HogFunctionQueueParametersFetchRequest, HogFunctionQueueParametersFetchResponse, } from './types' -import { gzipObject, serializeInvocation } from './utils' +import { gzipObject, queueBlobToString, serializeHogFunctionInvocation } from './utils' export const BUCKETS_KB_WRITTEN = [0, 128, 512, 1024, 2024, 4096, 10240, Infinity] @@ -40,19 +40,22 @@ export class FetchExecutor { async execute(invocation: HogFunctionInvocation): Promise { if (invocation.queue !== 'fetch' || !invocation.queueParameters) { - throw new Error('Bad invocation') + status.error('🦔', `[HogExecutor] Bad invocation`, { invocation }) + return } const params = invocation.queueParameters as HogFunctionQueueParametersFetchRequest - if (params.body) { - histogramFetchPayloadSize.observe(params.body.length / 1024) + + const body = queueBlobToString(invocation.queueBlob) + if (body) { + histogramFetchPayloadSize.observe(body.length / 1024) } try { if (this.hogHookEnabledForTeams(invocation.teamId)) { // This is very temporary until we are commited to Cyclotron const payload: HogFunctionInvocationAsyncRequest = { - state: await gzipObject(serializeInvocation(invocation)), + state: await gzipObject(serializeHogFunctionInvocation(invocation)), teamId: invocation.teamId, hogFunctionId: invocation.hogFunction.id, asyncFunctionRequest: { @@ -61,6 +64,7 @@ export class FetchExecutor { params.url, { ...params, + body, }, ], }, @@ -88,11 +92,12 @@ export class FetchExecutor { } const params = invocation.queueParameters as HogFunctionQueueParametersFetchRequest + const body = queueBlobToString(invocation.queueBlob) || '' + let responseBody = '' const resParams: HogFunctionQueueParametersFetchResponse = { response: { status: 0, - body: {}, }, error: null, timings: [], @@ -102,17 +107,12 @@ export class FetchExecutor { const start = performance.now() const fetchResponse = await trackedFetch(params.url, { method: params.method, - body: params.body, + body, headers: params.headers, timeout: this.serverConfig.EXTERNAL_REQUEST_TIMEOUT_MS, }) - let responseBody = await fetchResponse.text() - try { - responseBody = JSON.parse(responseBody) - } catch (err) { - // Ignore - } + responseBody = await fetchResponse.text() const duration = performance.now() - start @@ -123,7 +123,6 @@ export class FetchExecutor { resParams.response = { status: fetchResponse.status, - body: responseBody, } } catch (err) { status.error('🦔', `[HogExecutor] Error during fetch`, { error: String(err) }) @@ -135,6 +134,7 @@ export class FetchExecutor { ...invocation, queue: 'hog', queueParameters: resParams, + queueBlob: Buffer.from(responseBody), }, finished: false, logs: [], diff --git a/plugin-server/src/cdp/hog-executor.ts b/plugin-server/src/cdp/hog-executor.ts index 382f6b3fc3549..28bad8e38099a 100644 --- a/plugin-server/src/cdp/hog-executor.ts +++ b/plugin-server/src/cdp/hog-executor.ts @@ -14,7 +14,7 @@ import { HogFunctionQueueParametersFetchResponse, HogFunctionType, } from './types' -import { convertToHogFunctionFilterGlobal } from './utils' +import { convertToHogFunctionFilterGlobal, queueBlobToString } from './utils' const MAX_ASYNC_STEPS = 2 const MAX_HOG_LOGS = 10 @@ -153,25 +153,33 @@ export class HogExecutor { try { // If the queueParameter is set then we have an expected format that we want to parse and add to the stack if (invocation.queueParameters) { + // NOTE: This is all based around the only response type being fetch currently const { logs = [], response = null, error, timings = [], } = invocation.queueParameters as HogFunctionQueueParametersFetchResponse + let responseBody: any = undefined + if (response) { + // Convert from buffer to string + responseBody = queueBlobToString(invocation.queueBlob) + } // Reset the queue parameters to be sure invocation.queue = 'hog' invocation.queueParameters = undefined + invocation.queueBlob = undefined + + const status = typeof response?.status === 'number' ? response.status : 503 // Special handling for fetch - // TODO: Would be good to have a dedicated value in the fetch response for the status code - if (response?.status && response.status >= 400) { + if (status >= 400) { // Generic warn log for bad status codes logs.push({ level: 'warn', timestamp: DateTime.now(), - message: `Fetch returned bad status: ${response.status}`, + message: `Fetch returned bad status: ${status}`, }) } @@ -183,16 +191,22 @@ export class HogExecutor { throw new Error(error) } - if (typeof response?.body === 'string') { + if (typeof responseBody === 'string') { try { - response.body = JSON.parse(response.body) + responseBody = JSON.parse(responseBody) } catch (e) { // pass - if it isn't json we just pass it on } } + // Finally we create the response object as the VM expects + const fetchResponse = { + status, + body: responseBody, + } + // Add the response to the stack to continue execution - invocation.vmState!.stack.push(response) + invocation.vmState!.stack.push(fetchResponse) invocation.timings.push(...timings) result.logs = [...logs, ...result.logs] } @@ -327,18 +341,22 @@ export class HogExecutor { const headers = fetchOptions?.headers || { 'Content-Type': 'application/json', } - let body = fetchOptions?.body // Modify the body to ensure it is a string (we allow Hog to send an object to keep things simple) - body = body ? (typeof body === 'string' ? body : JSON.stringify(body)) : body + const body: string | undefined = fetchOptions?.body + ? typeof fetchOptions.body === 'string' + ? fetchOptions.body + : JSON.stringify(fetchOptions.body) + : fetchOptions?.body result.invocation.queue = 'fetch' result.invocation.queueParameters = { url, method, headers, - body, + return_queue: 'hog', } - + // The payload is always blob encoded + result.invocation.queueBlob = body ? Buffer.from(body) : undefined break default: throw new Error(`Unknown async function '${execRes.asyncFunctionName}'`) @@ -366,6 +384,7 @@ export class HogExecutor { } } catch (err) { result.error = err.message + result.finished = true // Explicitly set to true to prevent infinite loops status.error( '🦔', `[HogExecutor] Error executing function ${invocation.hogFunction.id} - ${invocation.hogFunction.name}`, diff --git a/plugin-server/src/cdp/hog-function-manager.ts b/plugin-server/src/cdp/hog-function-manager.ts index d356e6d66ce10..94803e209f25e 100644 --- a/plugin-server/src/cdp/hog-function-manager.ts +++ b/plugin-server/src/cdp/hog-function-manager.ts @@ -95,6 +95,7 @@ export class HogFunctionManager { if (!this.ready) { throw new Error('HogFunctionManager is not ready! Run HogFunctionManager.start() before this') } + return this.cache.functions[id] } @@ -102,6 +103,7 @@ export class HogFunctionManager { if (!this.ready) { throw new Error('HogFunctionManager is not ready! Run HogFunctionManager.start() before this') } + const fn = this.cache.functions[hogFunctionId] if (fn?.team_id === teamId) { return fn diff --git a/plugin-server/src/cdp/types.ts b/plugin-server/src/cdp/types.ts index 9d277bc4edfa8..3ca31657cfb74 100644 --- a/plugin-server/src/cdp/types.ts +++ b/plugin-server/src/cdp/types.ts @@ -146,8 +146,9 @@ export interface HogFunctionTiming { export type HogFunctionQueueParametersFetchRequest = { url: string method: string - body: string - headers: Record + return_queue: string + max_tries?: number + headers?: Record } export type HogFunctionQueueParametersFetchResponse = { @@ -156,7 +157,6 @@ export type HogFunctionQueueParametersFetchResponse = { /** The data to be passed to the Hog function from the response */ response?: { status: number - body: any } | null timings?: HogFunctionTiming[] logs?: LogEntry[] @@ -171,8 +171,10 @@ export type HogFunctionInvocation = { globals: HogFunctionInvocationGlobals teamId: Team['id'] hogFunction: HogFunctionType + priority: number queue: 'hog' | 'fetch' queueParameters?: HogFunctionInvocationQueueParameters + queueBlob?: Uint8Array // The current vmstate (set if the invocation is paused) vmState?: VMState timings: HogFunctionTiming[] diff --git a/plugin-server/src/cdp/utils.ts b/plugin-server/src/cdp/utils.ts index 375baa91a94e3..c8e6cd25be2fe 100644 --- a/plugin-server/src/cdp/utils.ts +++ b/plugin-server/src/cdp/utils.ts @@ -281,16 +281,25 @@ export function createInvocation( teamId: hogFunction.team_id, hogFunction, queue: 'hog', + priority: 1, timings: [], } } -export function serializeInvocation(invocation: HogFunctionInvocation): HogFunctionInvocationSerialized { +export function serializeHogFunctionInvocation(invocation: HogFunctionInvocation): HogFunctionInvocationSerialized { const serializedInvocation: HogFunctionInvocationSerialized = { ...invocation, hogFunctionId: invocation.hogFunction.id, + // We clear the params as they are never used in the serialized form + queueParameters: undefined, + queueBlob: undefined, } delete (serializedInvocation as any).hogFunction - return invocation + + return serializedInvocation +} + +export function queueBlobToString(blob?: HogFunctionInvocation['queueBlob']): string | undefined { + return blob ? Buffer.from(blob).toString('utf-8') : undefined } diff --git a/plugin-server/src/config/config.ts b/plugin-server/src/config/config.ts index afa2ba1d72fe3..a0c64393c4352 100644 --- a/plugin-server/src/config/config.ts +++ b/plugin-server/src/config/config.ts @@ -183,14 +183,20 @@ export function getDefaultConfig(): PluginsServerConfig { CDP_WATCHER_REFILL_RATE: 10, CDP_WATCHER_DISABLED_TEMPORARY_MAX_COUNT: 3, CDP_ASYNC_FUNCTIONS_RUSTY_HOOK_TEAMS: '', - CDP_ASYNC_FUNCTIONS_CYCLOTRON_TEAMS: '', + CDP_CYCLOTRON_ENABLED_TEAMS: '', CDP_REDIS_PASSWORD: '', CDP_EVENT_PROCESSOR_EXECUTE_FIRST_STEP: true, CDP_REDIS_HOST: '', CDP_REDIS_PORT: 6479, + CDP_CYCLOTRON_BATCH_DELAY_MS: 50, + CDP_CYCLOTRON_BATCH_SIZE: 500, // Cyclotron - CYCLOTRON_DATABASE_URL: '', + CYCLOTRON_DATABASE_URL: isTestEnv() + ? 'postgres://posthog:posthog@localhost:5432/test_cyclotron' + : isDevEnv() + ? 'postgres://posthog:posthog@localhost:5432/cyclotron' + : '', } } diff --git a/plugin-server/src/main/pluginsServer.ts b/plugin-server/src/main/pluginsServer.ts index cafdc0451806d..ff1f46b82d338 100644 --- a/plugin-server/src/main/pluginsServer.ts +++ b/plugin-server/src/main/pluginsServer.ts @@ -10,7 +10,12 @@ import v8Profiler from 'v8-profiler-next' import { getPluginServerCapabilities } from '../capabilities' import { CdpApi } from '../cdp/cdp-api' -import { CdpFunctionCallbackConsumer, CdpProcessedEventsConsumer } from '../cdp/cdp-consumers' +import { + CdpCyclotronWorker, + CdpCyclotronWorkerFetch, + CdpFunctionCallbackConsumer, + CdpProcessedEventsConsumer, +} from '../cdp/cdp-consumers' import { defaultConfig, sessionRecordingConsumerConfig } from '../config/config' import { Hub, PluginServerCapabilities, PluginServerService, PluginsServerConfig } from '../types' import { closeHub, createHub, createKafkaClient, createKafkaProducerWrapper } from '../utils/db/hub' @@ -458,16 +463,23 @@ export async function startPluginsServer( } } - // if (capabilities.cdpCyclotronWorker) { - // ;[hub, closeHub] = hub ? [hub, closeHub] : await createHub(serverConfig, capabilities) - // if (hub.CYCLOTRON_DATABASE_URL) { - // const worker = new CdpCyclotronWorker(hub) - // await worker.start() - // } else { - // // This is a temporary solution until we *require* Cyclotron to be configured. - // status.warn('💥', 'CYCLOTRON_DATABASE_URL is not set, not running Cyclotron worker') - // } - // } + if (capabilities.cdpCyclotronWorker) { + const hub = await setupHub() + + if (!hub.CYCLOTRON_DATABASE_URL) { + status.error('💥', 'Cyclotron database URL not set.') + } else { + const worker = new CdpCyclotronWorker(hub) + await worker.start() + services.push(worker.service) + + if (process.env.EXPERIMENTAL_CDP_FETCH_WORKER) { + const workerFetch = new CdpCyclotronWorkerFetch(hub) + await workerFetch.start() + services.push(workerFetch.service) + } + } + } if (capabilities.http) { const app = setupCommonRoutes(services) diff --git a/plugin-server/src/types.ts b/plugin-server/src/types.ts index 58253a210abd3..90bea28edc33d 100644 --- a/plugin-server/src/types.ts +++ b/plugin-server/src/types.ts @@ -113,7 +113,9 @@ export type CdpConfig = { CDP_WATCHER_DISABLED_TEMPORARY_TTL: number // How long a function should be temporarily disabled for CDP_WATCHER_DISABLED_TEMPORARY_MAX_COUNT: number // How many times a function can be disabled before it is disabled permanently CDP_ASYNC_FUNCTIONS_RUSTY_HOOK_TEAMS: string - CDP_ASYNC_FUNCTIONS_CYCLOTRON_TEAMS: string + CDP_CYCLOTRON_ENABLED_TEAMS: string + CDP_CYCLOTRON_BATCH_SIZE: number + CDP_CYCLOTRON_BATCH_DELAY_MS: number CDP_REDIS_HOST: string CDP_REDIS_PORT: number CDP_REDIS_PASSWORD: string diff --git a/plugin-server/src/utils/status.ts b/plugin-server/src/utils/status.ts index 385b97739685e..0b6b8f26ca1c5 100644 --- a/plugin-server/src/utils/status.ts +++ b/plugin-server/src/utils/status.ts @@ -15,7 +15,7 @@ export interface StatusBlueprint { export class Status implements StatusBlueprint { mode?: string - logger: pino.Logger + private logger?: pino.Logger prompt: string transport: any @@ -59,11 +59,23 @@ export class Status implements StatusBlueprint { close() { this.transport?.end() + this.logger = undefined } buildMethod(type: keyof StatusBlueprint): StatusMethod { return (icon: string, message: string, extra: object) => { const logMessage = `[${this.prompt}] ${icon} ${message}` + + if (!this.logger) { + if (isProdEnv()) { + // This can throw on tests if the logger is closed. We don't really want tests to be bothered with this. + throw new Error(`Logger has been closed! Cannot log: ${logMessage}`) + } + console.log( + `Logger has been closed! Cannot log: ${logMessage}. Logging to console instead due to non-prod env.` + ) + return + } if (extra instanceof Object) { this.logger[type]({ ...extra, msg: logMessage }) } else { diff --git a/plugin-server/tests/cdp/cdp-e2e.test.ts b/plugin-server/tests/cdp/cdp-e2e.test.ts new file mode 100644 index 0000000000000..b5423459e284e --- /dev/null +++ b/plugin-server/tests/cdp/cdp-e2e.test.ts @@ -0,0 +1,225 @@ +import { + CdpCyclotronWorker, + CdpCyclotronWorkerFetch, + CdpFunctionCallbackConsumer, + CdpProcessedEventsConsumer, +} from '../../src/cdp/cdp-consumers' +import { HogFunctionInvocationGlobals, HogFunctionType } from '../../src/cdp/types' +import { KAFKA_APP_METRICS_2, KAFKA_LOG_ENTRIES } from '../../src/config/kafka-topics' +import { Hub, Team } from '../../src/types' +import { closeHub, createHub } from '../../src/utils/db/hub' +import { waitForExpect } from '../helpers/expectations' +import { getFirstTeam, resetTestDatabase } from '../helpers/sql' +import { HOG_EXAMPLES, HOG_FILTERS_EXAMPLES, HOG_INPUTS_EXAMPLES } from './examples' +import { createHogExecutionGlobals, insertHogFunction as _insertHogFunction } from './fixtures' +import { createKafkaObserver, TestKafkaObserver } from './helpers/kafka-observer' + +jest.mock('../../src/utils/fetch', () => { + return { + trackedFetch: jest.fn(() => + Promise.resolve({ + status: 200, + text: () => Promise.resolve(JSON.stringify({ success: true })), + json: () => Promise.resolve({ success: true }), + }) + ), + } +}) + +const mockFetch: jest.Mock = require('../../src/utils/fetch').trackedFetch + +describe('CDP E2E', () => { + jest.setTimeout(10000) + describe.each(['kafka', 'cyclotron'])('e2e fetch call: %s', (mode) => { + let processedEventsConsumer: CdpProcessedEventsConsumer + let functionProcessor: CdpFunctionCallbackConsumer + let cyclotronWorker: CdpCyclotronWorker | undefined + let cyclotronFetchWorker: CdpCyclotronWorkerFetch | undefined + let hub: Hub + let team: Team + let kafkaObserver: TestKafkaObserver + let fnFetchNoFilters: HogFunctionType + let globals: HogFunctionInvocationGlobals + + const insertHogFunction = async (hogFunction: Partial) => { + const item = await _insertHogFunction(hub.postgres, team.id, hogFunction) + return item + } + + beforeEach(async () => { + await resetTestDatabase() + hub = await createHub() + team = await getFirstTeam(hub) + + fnFetchNoFilters = await insertHogFunction({ + ...HOG_EXAMPLES.simple_fetch, + ...HOG_INPUTS_EXAMPLES.simple_fetch, + ...HOG_FILTERS_EXAMPLES.no_filters, + }) + + if (mode === 'cyclotron') { + hub.CDP_CYCLOTRON_ENABLED_TEAMS = '*' + hub.CYCLOTRON_DATABASE_URL = 'postgres://posthog:posthog@localhost:5432/test_cyclotron' + } + + kafkaObserver = await createKafkaObserver(hub, [KAFKA_APP_METRICS_2, KAFKA_LOG_ENTRIES]) + + processedEventsConsumer = new CdpProcessedEventsConsumer(hub) + await processedEventsConsumer.start() + functionProcessor = new CdpFunctionCallbackConsumer(hub) + await functionProcessor.start() + + if (mode === 'cyclotron') { + cyclotronWorker = new CdpCyclotronWorker(hub) + await cyclotronWorker.start() + cyclotronFetchWorker = new CdpCyclotronWorkerFetch(hub) + await cyclotronFetchWorker.start() + } + + globals = createHogExecutionGlobals({ + project: { + id: team.id, + } as any, + event: { + uuid: 'b3a1fe86-b10c-43cc-acaf-d208977608d0', + name: '$pageview', + properties: { + $current_url: 'https://posthog.com', + $lib_version: '1.0.0', + }, + timestamp: '2024-09-03T09:00:00Z', + } as any, + }) + + mockFetch.mockClear() + }) + + afterEach(async () => { + console.log('AfterEach', { + processedEventsConsumer, + functionProcessor, + kafkaObserver, + cyclotronWorker, + cyclotronFetchWorker, + }) + + const stoppers = [ + processedEventsConsumer?.stop().then(() => console.log('Stopped processedEventsConsumer')), + functionProcessor?.stop().then(() => console.log('Stopped functionProcessor')), + kafkaObserver?.stop().then(() => console.log('Stopped kafkaObserver')), + cyclotronWorker?.stop().then(() => console.log('Stopped cyclotronWorker')), + cyclotronFetchWorker?.stop().then(() => console.log('Stopped cyclotronFetchWorker')), + ] + + await Promise.all(stoppers) + + await closeHub(hub) + }) + + afterAll(() => { + jest.useRealTimers() + }) + + /** + * Tests here are somewhat expensive so should mostly simulate happy paths and the more e2e scenarios + */ + + it('should invoke a function in the worker loop until completed', async () => { + // NOTE: We can skip kafka as the entry point + const invocations = await processedEventsConsumer.processBatch([globals]) + expect(invocations).toHaveLength(1) + + await waitForExpect(() => { + expect(kafkaObserver.messages).toHaveLength(6) + }) + + expect(mockFetch).toHaveBeenCalledTimes(1) + + expect(mockFetch.mock.calls[0]).toMatchInlineSnapshot(` + Array [ + "https://example.com/posthog-webhook", + Object { + "body": "{\\"event\\":{\\"uuid\\":\\"b3a1fe86-b10c-43cc-acaf-d208977608d0\\",\\"name\\":\\"$pageview\\",\\"distinct_id\\":\\"distinct_id\\",\\"url\\":\\"http://localhost:8000/events/1\\",\\"properties\\":{\\"$current_url\\":\\"https://posthog.com\\",\\"$lib_version\\":\\"1.0.0\\"},\\"timestamp\\":\\"2024-09-03T09:00:00Z\\"},\\"groups\\":{},\\"nested\\":{\\"foo\\":\\"http://localhost:8000/events/1\\"},\\"person\\":{\\"uuid\\":\\"uuid\\",\\"name\\":\\"test\\",\\"url\\":\\"http://localhost:8000/persons/1\\",\\"properties\\":{\\"email\\":\\"test@posthog.com\\"}},\\"event_url\\":\\"http://localhost:8000/events/1-test\\"}", + "headers": Object { + "version": "v=1.0.0", + }, + "method": "POST", + "timeout": 10000, + }, + ] + `) + + const logMessages = kafkaObserver.messages.filter((m) => m.topic === KAFKA_LOG_ENTRIES) + const metricsMessages = kafkaObserver.messages.filter((m) => m.topic === KAFKA_APP_METRICS_2) + + expect(metricsMessages).toMatchObject([ + { + topic: 'clickhouse_app_metrics2_test', + value: { + app_source: 'hog_function', + app_source_id: fnFetchNoFilters.id.toString(), + count: 1, + metric_kind: 'success', + metric_name: 'succeeded', + team_id: 2, + }, + }, + ]) + + expect(logMessages).toMatchObject([ + { + topic: 'log_entries_test', + value: { + level: 'debug', + log_source: 'hog_function', + log_source_id: fnFetchNoFilters.id.toString(), + message: 'Executing function', + team_id: 2, + }, + }, + { + topic: 'log_entries_test', + value: { + level: 'debug', + log_source: 'hog_function', + log_source_id: fnFetchNoFilters.id.toString(), + message: expect.stringContaining( + "Suspending function due to async function call 'fetch'. Payload:" + ), + team_id: 2, + }, + }, + { + topic: 'log_entries_test', + value: { + level: 'debug', + log_source: 'hog_function', + log_source_id: fnFetchNoFilters.id.toString(), + message: 'Resuming function', + team_id: 2, + }, + }, + { + topic: 'log_entries_test', + value: { + level: 'info', + log_source: 'hog_function', + log_source_id: fnFetchNoFilters.id.toString(), + message: `Fetch response:, {"status":200,"body":{"success":true}}`, + team_id: 2, + }, + }, + { + topic: 'log_entries_test', + value: { + level: 'debug', + log_source: 'hog_function', + log_source_id: fnFetchNoFilters.id.toString(), + message: expect.stringContaining('Function completed in'), + team_id: 2, + }, + }, + ]) + }) + }) +}) diff --git a/plugin-server/tests/cdp/cdp-consumer.e2e.test.ts b/plugin-server/tests/cdp/cdp-function-processor.test.ts similarity index 97% rename from plugin-server/tests/cdp/cdp-consumer.e2e.test.ts rename to plugin-server/tests/cdp/cdp-function-processor.test.ts index 8d6581aef9ef0..5fb097b0a5c5e 100644 --- a/plugin-server/tests/cdp/cdp-consumer.e2e.test.ts +++ b/plugin-server/tests/cdp/cdp-function-processor.test.ts @@ -80,10 +80,7 @@ const convertToKafkaMessage = (message: any): any => { } } -/** - * NOTE: This isn't fully e2e... We still mock kafka but we trigger one queue from the other in a loop - */ -describe('CDP Consumers E2E', () => { +describe('CDP Function Processor', () => { let processedEventsConsumer: CdpProcessedEventsConsumer let functionProcessor: CdpFunctionCallbackConsumer let hub: Hub @@ -121,7 +118,7 @@ describe('CDP Consumers E2E', () => { jest.useRealTimers() }) - describe('e2e fetch function', () => { + describe('full fetch function', () => { /** * Tests here are somewhat expensive so should mostly simulate happy paths and the more e2e scenarios */ diff --git a/plugin-server/tests/cdp/cdp-processed-events-consumer.test.ts b/plugin-server/tests/cdp/cdp-processed-events-consumer.test.ts index b0a1c09f15d6f..11806c8595a10 100644 --- a/plugin-server/tests/cdp/cdp-processed-events-consumer.test.ts +++ b/plugin-server/tests/cdp/cdp-processed-events-consumer.test.ts @@ -5,12 +5,7 @@ import { Hub, Team } from '../../src/types' import { closeHub, createHub } from '../../src/utils/db/hub' import { getFirstTeam, resetTestDatabase } from '../helpers/sql' import { HOG_EXAMPLES, HOG_FILTERS_EXAMPLES, HOG_INPUTS_EXAMPLES } from './examples' -import { - createHogExecutionGlobals, - createIncomingEvent, - createMessage, - insertHogFunction as _insertHogFunction, -} from './fixtures' +import { createHogExecutionGlobals, insertHogFunction as _insertHogFunction } from './fixtures' const mockConsumer = { on: jest.fn(), @@ -113,10 +108,6 @@ describe('CDP Processed Events Consumer', () => { }) describe('general event processing', () => { - beforeEach(() => { - hub.CDP_EVENT_PROCESSOR_EXECUTE_FIRST_STEP = false - }) - describe('common processing', () => { let fnFetchNoFilters: HogFunctionType let fnPrinterPageviewFilters: HogFunctionType @@ -170,23 +161,89 @@ describe('CDP Processed Events Consumer', () => { matchInvocation(fnPrinterPageviewFilters, globals), ]) - expect(mockProducer.produce).toHaveBeenCalledTimes(2) - + expect(mockProducer.produce).toHaveBeenCalledTimes(11) expect(decodeAllKafkaMessages()).toMatchObject([ { - key: expect.any(String), - topic: 'cdp_function_callbacks_test', + topic: 'log_entries_test', value: { - state: expect.any(String), + message: 'Executing function', + log_source_id: fnFetchNoFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: "Suspending function due to async function call 'fetch'. Payload: 1902 bytes", + log_source_id: fnFetchNoFilters.id, + }, + }, + { + topic: 'clickhouse_app_metrics2_test', + value: { + app_source: 'hog_function', + team_id: 2, + app_source_id: fnPrinterPageviewFilters.id, + metric_kind: 'success', + metric_name: 'succeeded', + count: 1, + }, + }, + { + topic: 'log_entries_test', + value: { + message: 'Executing function', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: 'test', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: '{"nested":{"foo":"***REDACTED***","bool":false,"null":null}}', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: '{"foo":"***REDACTED***","bool":false,"null":null}', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: 'substring: ***REDACTED***', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: + '{"input_1":"test","secret_input_2":{"foo":"***REDACTED***","bool":false,"null":null},"secret_input_3":"***REDACTED***"}', + log_source_id: fnPrinterPageviewFilters.id, + }, + }, + { + topic: 'log_entries_test', + value: { + message: expect.stringContaining('Function completed'), + log_source_id: fnPrinterPageviewFilters.id, }, - waitForAck: true, }, { - key: expect.any(String), topic: 'cdp_function_callbacks_test', value: { state: expect.any(String), }, + key: expect.stringContaining(fnFetchNoFilters.id.toString()), waitForAck: true, }, ]) @@ -199,7 +256,7 @@ describe('CDP Processed Events Consumer', () => { expect(invocations).toHaveLength(1) expect(invocations).toMatchObject([matchInvocation(fnFetchNoFilters, globals)]) - expect(mockProducer.produce).toHaveBeenCalledTimes(2) + expect(mockProducer.produce).toHaveBeenCalledTimes(4) expect(decodeAllKafkaMessages()).toMatchObject([ { @@ -215,6 +272,12 @@ describe('CDP Processed Events Consumer', () => { timestamp: expect.any(String), }, }, + { + topic: 'log_entries_test', + }, + { + topic: 'log_entries_test', + }, { topic: 'cdp_function_callbacks_test', }, @@ -259,97 +322,5 @@ describe('CDP Processed Events Consumer', () => { ]) }) }) - - describe('kafka parsing', () => { - it('can parse incoming messages correctly', async () => { - await insertHogFunction({ - ...HOG_EXAMPLES.simple_fetch, - ...HOG_INPUTS_EXAMPLES.simple_fetch, - ...HOG_FILTERS_EXAMPLES.no_filters, - }) - // Create a message that should be processed by this function - // Run the function and check that it was executed - await processor._handleKafkaBatch([ - createMessage( - createIncomingEvent(team.id, { - uuid: 'b3a1fe86-b10c-43cc-acaf-d208977608d0', - event: '$pageview', - properties: JSON.stringify({ - $lib_version: '1.0.0', - }), - }) - ), - ]) - - // Generall check that the message seemed to get processed - expect(decodeAllKafkaMessages()).toMatchObject([ - { - key: expect.any(String), - topic: 'cdp_function_callbacks_test', - value: { - state: expect.any(String), - }, - waitForAck: true, - }, - ]) - }) - }) - - describe('no delayed execution', () => { - beforeEach(() => { - hub.CDP_EVENT_PROCESSOR_EXECUTE_FIRST_STEP = true - }) - - it('should invoke the initial function before enqueuing', async () => { - await insertHogFunction({ - ...HOG_EXAMPLES.simple_fetch, - ...HOG_INPUTS_EXAMPLES.simple_fetch, - ...HOG_FILTERS_EXAMPLES.no_filters, - }) - // Create a message that should be processed by this function - // Run the function and check that it was executed - await processor._handleKafkaBatch([ - createMessage( - createIncomingEvent(team.id, { - uuid: 'b3a1fe86-b10c-43cc-acaf-d208977608d0', - event: '$pageview', - properties: JSON.stringify({ - $lib_version: '1.0.0', - }), - }) - ), - ]) - - // General check that the message seemed to get processed - expect(decodeAllKafkaMessages()).toMatchObject([ - { - key: expect.any(String), - topic: 'log_entries_test', - value: { - message: 'Executing function', - }, - waitForAck: true, - }, - { - key: expect.any(String), - topic: 'log_entries_test', - value: { - message: expect.stringContaining( - "Suspending function due to async function call 'fetch'. Payload" - ), - }, - waitForAck: true, - }, - { - key: expect.any(String), - topic: 'cdp_function_callbacks_test', - value: { - state: expect.any(String), - }, - waitForAck: true, - }, - ]) - }) - }) }) }) diff --git a/plugin-server/tests/cdp/helpers/kafka-observer.ts b/plugin-server/tests/cdp/helpers/kafka-observer.ts new file mode 100644 index 0000000000000..462c06fc1e137 --- /dev/null +++ b/plugin-server/tests/cdp/helpers/kafka-observer.ts @@ -0,0 +1,72 @@ +import { KafkaConsumer, Message } from 'node-rdkafka' + +import { createAdminClient, ensureTopicExists } from '../../../src/kafka/admin' +import { createRdConnectionConfigFromEnvVars } from '../../../src/kafka/config' +import { createKafkaConsumer } from '../../../src/kafka/consumer' +import { Hub } from '../../../src/types' +import { delay, UUIDT } from '../../../src/utils/utils' + +export type TestKafkaObserver = { + messages: { + topic: string + value: any + }[] + consumer: KafkaConsumer + stop: () => Promise + expectMessageCount: (count: number) => Promise +} + +export const createKafkaObserver = async (hub: Hub, topics: string[]): Promise => { + const consumer = await createKafkaConsumer({ + ...createRdConnectionConfigFromEnvVars(hub), + 'group.id': `test-group-${new UUIDT().toString()}`, + }) + + const adminClient = createAdminClient(createRdConnectionConfigFromEnvVars(hub)) + await Promise.all(topics.map((topic) => ensureTopicExists(adminClient, topic, 1000))) + adminClient.disconnect() + + await new Promise((res, rej) => consumer.connect({}, (err) => (err ? rej(err) : res()))) + consumer.subscribe(topics) + const messages: { + topic: string + value: any + }[] = [] + + const poll = async () => { + await delay(50) + if (!consumer.isConnected()) { + return + } + const newMessages = await new Promise((res, rej) => + consumer.consume(10, (err, messages) => (err ? rej(err) : res(messages))) + ) + + messages.push( + ...newMessages.map((message) => ({ + topic: message.topic, + value: JSON.parse(message.value?.toString() ?? ''), + })) + ) + poll() + } + + poll() + + return { + messages, + consumer, + stop: () => new Promise((res) => consumer.disconnect(res)), + expectMessageCount: async (count: number): Promise => { + const timeout = 5000 + const now = Date.now() + while (messages.length < count && Date.now() - now < timeout) { + await delay(100) + } + + if (messages.length < count) { + throw new Error(`Expected ${count} messages, got ${messages.length}`) + } + }, + } +} diff --git a/plugin-server/tests/cdp/hog-executor.test.ts b/plugin-server/tests/cdp/hog-executor.test.ts index 7740078fe6268..03addf077d964 100644 --- a/plugin-server/tests/cdp/hog-executor.test.ts +++ b/plugin-server/tests/cdp/hog-executor.test.ts @@ -2,7 +2,7 @@ import { DateTime } from 'luxon' import { HogExecutor } from '../../src/cdp/hog-executor' import { HogFunctionManager } from '../../src/cdp/hog-function-manager' -import { HogFunctionAsyncFunctionResponse, HogFunctionType } from '../../src/cdp/types' +import { HogFunctionInvocation, HogFunctionType } from '../../src/cdp/types' import { HOG_EXAMPLES, HOG_FILTERS_EXAMPLES, HOG_INPUTS_EXAMPLES } from './examples' import { createHogExecutionGlobals, @@ -11,8 +11,9 @@ import { insertHogFunction as _insertHogFunction, } from './fixtures' -const createAsyncFunctionResponse = (response?: Record): HogFunctionAsyncFunctionResponse => { - return { +const setupFetchResponse = (invocation: HogFunctionInvocation, options?: { status?: number; body?: string }): void => { + invocation.queue = 'hog' + invocation.queueParameters = { timings: [ { kind: 'async_function', @@ -20,11 +21,10 @@ const createAsyncFunctionResponse = (response?: Record): HogFunctio }, ], response: { - status: 200, - body: 'success', - ...response, + status: options?.status ?? 200, }, } + invocation.queueBlob = Buffer.from(options?.body ?? 'success') } describe('Hog Executor', () => { @@ -69,6 +69,7 @@ describe('Hog Executor', () => { hogFunction: invocation.hogFunction, queue: 'fetch', queueParameters: expect.any(Object), + queueBlob: expect.any(Buffer), timings: [ { kind: 'hog', @@ -133,7 +134,8 @@ describe('Hog Executor', () => { }, }) - expect(JSON.parse(result.invocation.queueParameters!.body)).toEqual({ + const body = JSON.parse(Buffer.from(result.invocation.queueBlob!).toString()) + expect(body).toEqual({ event: { uuid: 'uuid', name: 'test', @@ -163,8 +165,7 @@ describe('Hog Executor', () => { expect(result.invocation.vmState).toBeDefined() // Simulate what the callback does - result.invocation.queue = 'hog' - result.invocation.queueParameters = createAsyncFunctionResponse() + setupFetchResponse(result.invocation) const secondResult = executor.execute(result.invocation) logs.push(...secondResult.logs) @@ -185,10 +186,7 @@ describe('Hog Executor', () => { it('parses the responses body if a string', () => { const result = executor.execute(createInvocation(hogFunction)) const logs = result.logs.splice(0, 100) - result.invocation.queue = 'hog' - result.invocation.queueParameters = createAsyncFunctionResponse({ - body: JSON.stringify({ foo: 'bar' }), - }) + setupFetchResponse(result.invocation, { body: JSON.stringify({ foo: 'bar' }) }) const secondResult = executor.execute(result.invocation) logs.push(...secondResult.logs) @@ -399,18 +397,16 @@ describe('Hog Executor', () => { // Start the function const result1 = executor.execute(invocation) // Run the response one time simulating a successful fetch - result1.invocation.queue = 'hog' - result1.invocation.queueParameters = createAsyncFunctionResponse() + setupFetchResponse(result1.invocation) const result2 = executor.execute(result1.invocation) expect(result2.finished).toBe(false) expect(result2.error).toBe(undefined) expect(result2.invocation.queue).toBe('fetch') // This time we should see an error for hitting the loop limit - result2.invocation.queue = 'hog' - result2.invocation.queueParameters = createAsyncFunctionResponse() + setupFetchResponse(result2.invocation) const result3 = executor.execute(result1.invocation) - expect(result3.finished).toBe(false) + expect(result3.finished).toBe(true) expect(result3.error).toEqual('Exceeded maximum number of async steps: 2') expect(result3.logs.map((log) => log.message)).toEqual([ 'Resuming function', diff --git a/plugin-server/tests/cdp/hog-function-manager.test.ts b/plugin-server/tests/cdp/hog-function-manager.test.ts index 1624999c93058..3f34fcb4fe378 100644 --- a/plugin-server/tests/cdp/hog-function-manager.test.ts +++ b/plugin-server/tests/cdp/hog-function-manager.test.ts @@ -81,6 +81,7 @@ describe('HogFunctionManager', () => { }) afterEach(async () => { + await manager.stop() await closeHub(hub) }) diff --git a/plugin-server/tests/helpers/expectations.ts b/plugin-server/tests/helpers/expectations.ts new file mode 100644 index 0000000000000..6a4dcf9b3cc53 --- /dev/null +++ b/plugin-server/tests/helpers/expectations.ts @@ -0,0 +1,17 @@ +export const waitForExpect = async (fn: () => T | Promise, timeout = 10_000, interval = 1_000): Promise => { + // Allows for running expectations that are expected to pass eventually. + // This is useful for, e.g. waiting for events to have been ingested into + // the database. + + const start = Date.now() + while (true) { + try { + return await fn() + } catch (error) { + if (Date.now() - start > timeout) { + throw error + } + await new Promise((resolve) => setTimeout(resolve, interval)) + } + } +} diff --git a/rust/bin/migrate-cyclotron b/rust/bin/migrate-cyclotron new file mode 100755 index 0000000000000..cde8d8b4d65fc --- /dev/null +++ b/rust/bin/migrate-cyclotron @@ -0,0 +1,10 @@ +#!/bin/sh +SCRIPT_DIR=$(dirname "$(readlink -f "$0")") + +CYCLOTRON_DATABASE_NAME=${CYCLOTRON_DATABASE_NAME:-cyclotron} +CYCLOTRON_DATABASE_URL=${CYCLOTRON_DATABASE_URL:-postgres://posthog:posthog@localhost:5432/$CYCLOTRON_DATABASE_NAME} + +echo "Performing cyclotron migrations for $CYCLOTRON_DATABASE_URL (DATABASE_NAME=$CYCLOTRON_DATABASE_NAME)" + +sqlx database create -D "$CYCLOTRON_DATABASE_URL" +sqlx migrate run -D "$CYCLOTRON_DATABASE_URL" --source $SCRIPT_DIR/../cyclotron-core/migrations diff --git a/rust/cyclotron-node/src/helpers.ts b/rust/cyclotron-node/src/helpers.ts new file mode 100644 index 0000000000000..ba1ace2a37161 --- /dev/null +++ b/rust/cyclotron-node/src/helpers.ts @@ -0,0 +1,30 @@ +import { CyclotronInternalPoolConfig, CyclotronPoolConfig } from './types' + +export function convertToInternalPoolConfig(poolConfig: CyclotronPoolConfig): CyclotronInternalPoolConfig { + return { + db_url: poolConfig.dbUrl, + max_connections: poolConfig.maxConnections, + min_connections: poolConfig.minConnections, + acquire_timeout_seconds: poolConfig.acquireTimeoutSeconds, + max_lifetime_seconds: poolConfig.maxLifetimeSeconds, + idle_timeout_seconds: poolConfig.idleTimeoutSeconds, + } +} + +export function serializeObject(name: string, obj: Record | null): string | null { + if (obj === null) { + return null + } else if (typeof obj === 'object' && obj !== null) { + return JSON.stringify(obj) + } + throw new Error(`${name} must be either an object or null`) +} + +export function deserializeObject(name: string, str: any): Record | null { + if (str === null) { + return null + } else if (typeof str === 'string') { + return JSON.parse(str) + } + throw new Error(`${name} must be either a string or null`) +} diff --git a/rust/cyclotron-node/src/index.ts b/rust/cyclotron-node/src/index.ts index fb8dd659d80c3..e905c5f6cd4ad 100644 --- a/rust/cyclotron-node/src/index.ts +++ b/rust/cyclotron-node/src/index.ts @@ -1,222 +1,3 @@ -// eslint-disable-next-line @typescript-eslint/no-var-requires -const cyclotron = require('../index.node') - -export interface PoolConfig { - dbUrl: string - maxConnections?: number - minConnections?: number - acquireTimeoutSeconds?: number - maxLifetimeSeconds?: number - idleTimeoutSeconds?: number -} - -// Type as expected by Cyclotron. -interface InternalPoolConfig { - db_url: string - max_connections?: number - min_connections?: number - acquire_timeout_seconds?: number - max_lifetime_seconds?: number - idle_timeout_seconds?: number -} - -export interface ManagerConfig { - shards: PoolConfig[] -} - -// Type as expected by Cyclotron. -interface InternalManagerConfig { - shards: InternalPoolConfig[] -} - -export interface JobInit { - teamId: number - functionId: string - queueName: string - priority?: number - scheduled?: Date - vmState?: string - parameters?: string - blob?: Uint8Array - metadata?: string -} - -// Type as expected by Cyclotron. -interface InternalJobInit { - team_id: number - function_id: string - queue_name: string - priority?: number - scheduled?: Date - vm_state?: string - parameters?: string - metadata?: string -} - -export type JobState = 'available' | 'running' | 'completed' | 'failed' | 'paused' - -export interface Job { - id: string - teamId: number - functionId: string | null - created: Date - lockId: string | null - lastHeartbeat: Date | null - janitorTouchCount: number - transitionCount: number - lastTransition: Date - queueName: string - state: JobState - priority: number - scheduled: Date - vmState: string | null - metadata: string | null - parameters: string | null - blob: Uint8Array | null -} - -export async function initWorker(poolConfig: PoolConfig): Promise { - const initWorkerInternal: InternalPoolConfig = { - db_url: poolConfig.dbUrl, - max_connections: poolConfig.maxConnections, - min_connections: poolConfig.minConnections, - acquire_timeout_seconds: poolConfig.acquireTimeoutSeconds, - max_lifetime_seconds: poolConfig.maxLifetimeSeconds, - idle_timeout_seconds: poolConfig.idleTimeoutSeconds, - } - return await cyclotron.initWorker(JSON.stringify(initWorkerInternal)) -} - -export async function initManager(managerConfig: ManagerConfig): Promise { - const managerConfigInternal: InternalManagerConfig = { - shards: managerConfig.shards.map((shard) => ({ - db_url: shard.dbUrl, - max_connections: shard.maxConnections, - min_connections: shard.minConnections, - acquire_timeout_seconds: shard.acquireTimeoutSeconds, - max_lifetime_seconds: shard.maxLifetimeSeconds, - idle_timeout_seconds: shard.idleTimeoutSeconds, - })), - } - return await cyclotron.initManager(JSON.stringify(managerConfigInternal)) -} - -export async function maybeInitWorker(poolConfig: PoolConfig): Promise { - const initWorkerInternal: InternalPoolConfig = { - db_url: poolConfig.dbUrl, - max_connections: poolConfig.maxConnections, - min_connections: poolConfig.minConnections, - acquire_timeout_seconds: poolConfig.acquireTimeoutSeconds, - max_lifetime_seconds: poolConfig.maxLifetimeSeconds, - idle_timeout_seconds: poolConfig.idleTimeoutSeconds, - } - return await cyclotron.maybeInitWorker(JSON.stringify(initWorkerInternal)) -} - -export async function maybeInitManager(managerConfig: ManagerConfig): Promise { - const managerConfigInternal: InternalManagerConfig = { - shards: managerConfig.shards.map((shard) => ({ - db_url: shard.dbUrl, - max_connections: shard.maxConnections, - min_connections: shard.minConnections, - acquire_timeout_seconds: shard.acquireTimeoutSeconds, - max_lifetime_seconds: shard.maxLifetimeSeconds, - idle_timeout_seconds: shard.idleTimeoutSeconds, - })), - } - return await cyclotron.maybeInitManager(JSON.stringify(managerConfigInternal)) -} - -export async function createJob(job: JobInit): Promise { - job.priority ??= 1 - job.scheduled ??= new Date() - - const jobInitInternal: InternalJobInit = { - team_id: job.teamId, - function_id: job.functionId, - queue_name: job.queueName, - priority: job.priority, - scheduled: job.scheduled, - vm_state: job.vmState, - parameters: job.parameters, - metadata: job.metadata, - } - - const json = JSON.stringify(jobInitInternal) - return await cyclotron.createJob(json, job.blob ? job.blob.buffer : undefined) -} - -export async function dequeueJobs(queueName: string, limit: number): Promise { - return await cyclotron.dequeueJobs(queueName, limit) -} - -export async function dequeueJobsWithVmState(queueName: string, limit: number): Promise { - return await cyclotron.dequeueJobsWithVmState(queueName, limit) -} - -export async function flushJob(jobId: string): Promise { - return await cyclotron.flushJob(jobId) -} - -export function setState(jobId: string, jobState: JobState): Promise { - return cyclotron.setState(jobId, jobState) -} - -export function setQueue(jobId: string, queueName: string): Promise { - return cyclotron.setQueue(jobId, queueName) -} - -export function setPriority(jobId: string, priority: number): Promise { - return cyclotron.setPriority(jobId, priority) -} - -export function setScheduledAt(jobId: string, scheduledAt: Date): Promise { - return cyclotron.setScheduledAt(jobId, scheduledAt.toISOString()) -} - -export function serializeObject(name: string, obj: Record | null): string | null { - if (obj === null) { - return null - } else if (typeof obj === 'object' && obj !== null) { - return JSON.stringify(obj) - } - throw new Error(`${name} must be either an object or null`) -} - -export function setVmState(jobId: string, vmState: Record | null): Promise { - const serialized = serializeObject('vmState', vmState) - return cyclotron.setVmState(jobId, serialized) -} - -export function setMetadata(jobId: string, metadata: Record | null): Promise { - const serialized = serializeObject('metadata', metadata) - return cyclotron.setMetadata(jobId, serialized) -} - -export function setParameters(jobId: string, parameters: Record | null): Promise { - const serialized = serializeObject('parameters', parameters) - return cyclotron.setParameters(jobId, serialized) -} - -export function setBlob(jobId: string, blob: Uint8Array | null): Promise { - return cyclotron.setBlob(jobId, blob) -} - -export default { - initWorker, - initManager, - maybeInitWorker, - maybeInitManager, - createJob, - dequeueJobs, - dequeueJobsWithVmState, - flushJob, - setState, - setQueue, - setPriority, - setScheduledAt, - setVmState, - setMetadata, - setParameters, - setBlob, -} +export * from './manager' +export * from './types' +export * from './worker' diff --git a/rust/cyclotron-node/src/manager.ts b/rust/cyclotron-node/src/manager.ts new file mode 100644 index 0000000000000..bba6488828ba2 --- /dev/null +++ b/rust/cyclotron-node/src/manager.ts @@ -0,0 +1,39 @@ +// eslint-disable-next-line @typescript-eslint/no-var-requires +const cyclotron = require('../index.node') + +import { convertToInternalPoolConfig, serializeObject } from './helpers' +import { CyclotronJobInit, CyclotronPoolConfig } from './types' + +export class CyclotronManager { + constructor(private config: { shards: CyclotronPoolConfig[] }) { + this.config = config + } + + async connect(): Promise { + return await cyclotron.maybeInitManager( + JSON.stringify({ + shards: this.config.shards.map((shard) => convertToInternalPoolConfig(shard)), + }) + ) + } + + async createJob(job: CyclotronJobInit): Promise { + job.priority ??= 1 + job.scheduled ??= new Date() + + // TODO: Why is this type of job snake case whereas the dequeue return type is camel case? + const jobInitInternal = { + team_id: job.teamId, + function_id: job.functionId, + queue_name: job.queueName, + priority: job.priority, + scheduled: job.scheduled, + vm_state: job.vmState ? serializeObject('vmState', job.vmState) : null, + parameters: job.parameters ? serializeObject('parameters', job.parameters) : null, + metadata: job.metadata ? serializeObject('metadata', job.metadata) : null, + } + + const json = JSON.stringify(jobInitInternal) + return await cyclotron.createJob(json, job.blob ? job.blob.buffer : undefined) + } +} diff --git a/rust/cyclotron-node/src/types.ts b/rust/cyclotron-node/src/types.ts new file mode 100644 index 0000000000000..88c8a26099083 --- /dev/null +++ b/rust/cyclotron-node/src/types.ts @@ -0,0 +1,48 @@ +export type CyclotronPoolConfig = { + dbUrl: string + maxConnections?: number + minConnections?: number + acquireTimeoutSeconds?: number + maxLifetimeSeconds?: number + idleTimeoutSeconds?: number +} + +// Type as expected by Cyclotron. +export type CyclotronInternalPoolConfig = { + db_url: string + max_connections?: number + min_connections?: number + acquire_timeout_seconds?: number + max_lifetime_seconds?: number + idle_timeout_seconds?: number +} + +export type CyclotronJobState = 'available' | 'running' | 'completed' | 'failed' | 'paused' + +export type CyclotronJob = { + id: string + teamId: number + functionId: string | null + created: Date + lockId: string | null + lastHeartbeat: Date | null + janitorTouchCount: number + transitionCount: number + lastTransition: Date + queueName: string + state: CyclotronJobState + priority: number + scheduled: Date + vmState: object | null + metadata: object | null + parameters: object | null + blob: Uint8Array | null +} + +export type CyclotronJobInit = Pick & + Pick, 'scheduled' | 'vmState' | 'parameters' | 'metadata' | 'blob'> + +export type CyclotronJobUpdate = Pick< + Partial, + 'queueName' | 'priority' | 'vmState' | 'parameters' | 'metadata' | 'blob' +> diff --git a/rust/cyclotron-node/src/worker.ts b/rust/cyclotron-node/src/worker.ts new file mode 100644 index 0000000000000..7b3411863af7d --- /dev/null +++ b/rust/cyclotron-node/src/worker.ts @@ -0,0 +1,120 @@ +// eslint-disable-next-line @typescript-eslint/no-var-requires +const cyclotron = require('../index.node') +import { convertToInternalPoolConfig, deserializeObject, serializeObject } from './helpers' +import { CyclotronJob, CyclotronJobState, CyclotronJobUpdate, CyclotronPoolConfig } from './types' + +const parseJob = (job: CyclotronJob): CyclotronJob => { + return { + ...job, + vmState: deserializeObject('vmState', job.vmState), + metadata: deserializeObject('metadata', job.metadata), + parameters: deserializeObject('parameters', job.parameters), + } +} + +export type CyclotronWorkerConfig = { + pool: CyclotronPoolConfig + /** The queue to be consumed from */ + queueName: string + /** Max number of jobs to consume in a batch. Default: 100 */ + batchMaxSize?: number + /** Whether the vmState will be included or not */ + includeVmState?: boolean + /** Amount of delay between dequeue polls. Default: 50ms */ + pollDelayMs?: number + /** Heartbeat timeout. After this time without response from the worker loop the worker will be considered unhealthy. Default 30000 */ + heartbeatTimeoutMs?: number +} + +export class CyclotronWorker { + isConsuming: boolean = false + lastHeartbeat: Date = new Date() + + private consumerLoopPromise: Promise | null = null + + constructor(private config: CyclotronWorkerConfig) { + this.config = config + } + + public isHealthy(): boolean { + return ( + this.isConsuming && + new Date().getTime() - this.lastHeartbeat.getTime() < (this.config.heartbeatTimeoutMs ?? 30000) + ) + } + + async connect(processBatch: (jobs: CyclotronJob[]) => Promise): Promise { + if (this.isConsuming) { + throw new Error('Already consuming') + } + + await cyclotron.maybeInitWorker(JSON.stringify(convertToInternalPoolConfig(this.config.pool))) + + this.isConsuming = true + this.consumerLoopPromise = this.startConsumerLoop(processBatch).finally(() => { + this.isConsuming = false + this.consumerLoopPromise = null + }) + } + + private async startConsumerLoop(processBatch: (jobs: CyclotronJob[]) => Promise): Promise { + try { + this.isConsuming = true + + const batchMaxSize = this.config.batchMaxSize ?? 100 + const pollDelayMs = this.config.pollDelayMs ?? 50 + + while (this.isConsuming) { + this.lastHeartbeat = new Date() + + const jobs = ( + this.config.includeVmState + ? await cyclotron.dequeueJobsWithVmState(this.config.queueName, batchMaxSize) + : await cyclotron.dequeueJobs(this.config.queueName, batchMaxSize) + ).map(parseJob) + + if (!jobs.length) { + // Wait a bit before polling again + await new Promise((resolve) => setTimeout(resolve, pollDelayMs)) + continue + } + + await processBatch(jobs) + } + } catch (e) { + // We only log here so as not to crash the parent process + console.error('[Cyclotron] Error in worker loop', e) + } + } + + async disconnect(): Promise { + this.isConsuming = false + await (this.consumerLoopPromise ?? Promise.resolve()) + } + + async flushJob(jobId: string): Promise { + return await cyclotron.flushJob(jobId) + } + + updateJob(id: CyclotronJob['id'], state: CyclotronJobState, updates?: CyclotronJobUpdate): void { + cyclotron.setState(id, state) + if (updates?.queueName) { + cyclotron.setQueue(id, updates.queueName) + } + if (updates?.priority) { + cyclotron.setPriority(id, updates.priority) + } + if (updates?.parameters) { + cyclotron.setParameters(id, serializeObject('parameters', updates.parameters)) + } + if (updates?.metadata) { + cyclotron.setMetadata(id, serializeObject('metadata', updates.metadata)) + } + if (updates?.vmState) { + cyclotron.setVmState(id, serializeObject('vmState', updates.vmState)) + } + if (updates?.blob) { + cyclotron.setBlob(id, updates.blob) + } + } +} From 5bb8cc6b95e6ea147ee04e4d1c9352775a87b673 Mon Sep 17 00:00:00 2001 From: Eric Duong Date: Tue, 10 Sep 2024 04:29:20 -0400 Subject: [PATCH 52/66] chore(data-warehouse): update deploy conditions for temporal workers (#24876) --- .github/workflows/container-images-cd.yml | 6 +++--- posthog/temporal/data_imports/pipelines/pipeline.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/container-images-cd.yml b/.github/workflows/container-images-cd.yml index 06741577bc8ba..8bb8380ad5a93 100644 --- a/.github/workflows/container-images-cd.yml +++ b/.github/workflows/container-images-cd.yml @@ -132,7 +132,7 @@ jobs: - name: Check for changes that affect batch exports temporal worker id: check_changes_batch_exports_temporal_worker run: | - echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/batch_exports|^posthog/batch_exports/|^posthog/management/commands/start_temporal_worker.py$' && echo true) || echo false)" >> $GITHUB_OUTPUT + echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/batch_exports|^posthog/batch_exports/|^posthog/management/commands/start_temporal_worker.py$|^requirements.txt$' && echo true) || echo false)" >> $GITHUB_OUTPUT - name: Trigger Batch Exports Temporal Worker Cloud deployment if: steps.check_changes_batch_exports_temporal_worker.outputs.changed == 'true' @@ -158,7 +158,7 @@ jobs: - name: Check for changes that affect general purpose temporal worker id: check_changes_general_purpose_temporal_worker run: | - echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/proxy_service|^posthog/management/commands/start_temporal_worker.py$' && echo true) || echo false)" >> $GITHUB_OUTPUT + echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/proxy_service|^posthog/management/commands/start_temporal_worker.py$|^requirements.txt$' && echo true) || echo false)" >> $GITHUB_OUTPUT - name: Trigger General Purpose Temporal Worker Cloud deployment if: steps.check_changes_general_purpose_temporal_worker.outputs.changed == 'true' @@ -184,7 +184,7 @@ jobs: - name: Check for changes that affect data warehouse temporal worker id: check_changes_data_warehouse_temporal_worker run: | - echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/data_imports|^posthog/warehouse/|^posthog/management/commands/start_temporal_worker.py$' && echo true) || echo false)" >> $GITHUB_OUTPUT + echo "changed=$((git diff --name-only HEAD^ HEAD | grep -qE '^posthog/temporal/common|^posthog/temporal/data_imports|^posthog/warehouse/|^posthog/management/commands/start_temporal_worker.py$|^requirements.txt$' && echo true) || echo false)" >> $GITHUB_OUTPUT - name: Trigger Data Warehouse Temporal Worker Cloud deployment if: steps.check_changes_data_warehouse_temporal_worker.outputs.changed == 'true' diff --git a/posthog/temporal/data_imports/pipelines/pipeline.py b/posthog/temporal/data_imports/pipelines/pipeline.py index 273a4df0994e2..03e57174f0527 100644 --- a/posthog/temporal/data_imports/pipelines/pipeline.py +++ b/posthog/temporal/data_imports/pipelines/pipeline.py @@ -252,7 +252,7 @@ def _run(self) -> dict[str, int]: else: self.logger.info("No table_counts, skipping validate_schema_and_update_table") - # Delete local state from the file system + # Cleanup: delete local state from the file system pipeline.drop() return dict(total_counts) From 7a67664fa9268dec7b02bf0da2981637725d323f Mon Sep 17 00:00:00 2001 From: Joe Martin <84011561+joethreepwood@users.noreply.github.com> Date: Tue, 10 Sep 2024 10:09:11 +0100 Subject: [PATCH 53/66] chore: Update readme for web analytics launch (#24812) --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 6776b643722fd..133575109f45e 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,7 @@ - Specify events manually, or use autocapture to get started quickly - Analyze data with ready-made visualizations, or do it yourself with SQL +- Track website visitors separately with our GA4 alternative - Only capture properties on the people you want to track, save money when you don't - Gather insights by capturing session replays, console logs, and network monitoring - Improve your product with Experiments that automatically analyze performance @@ -35,7 +36,7 @@ - Connect to external services and manage data flows with PostHog CDP PostHog is available with hosting in the EU or US and is fully SOC 2 compliant. It's free to get started and comes with a generous monthly free tier: -- 1 million product analytics events +- 1 million events - 5k session replays - 1 million feature flag requests - 250 survey responses From 47e860b54d4306f399c15eeb09c4120632a826e3 Mon Sep 17 00:00:00 2001 From: Frank Hamand Date: Tue, 10 Sep 2024 10:38:17 +0100 Subject: [PATCH 54/66] feat: add replay overflow limiter to rust capture (#24803) --- rust/capture/src/config.rs | 2 + rust/capture/src/limiters/redis.rs | 29 ++++++-- rust/capture/src/server.rs | 28 +++++++- rust/capture/src/sinks/kafka.rs | 35 ++++++--- rust/capture/tests/common.rs | 27 ++++++- rust/capture/tests/django_compat.rs | 4 +- rust/capture/tests/recordings.rs | 106 +++++++++++++++++++++++++++- 7 files changed, 205 insertions(+), 26 deletions(-) diff --git a/rust/capture/src/config.rs b/rust/capture/src/config.rs index ae502e5f20b8d..c74bd9d395a75 100644 --- a/rust/capture/src/config.rs +++ b/rust/capture/src/config.rs @@ -85,6 +85,8 @@ pub struct KafkaConfig { pub kafka_exceptions_topic: String, #[envconfig(default = "events_plugin_ingestion")] pub kafka_heatmaps_topic: String, + #[envconfig(default = "session_recording_snapshot_item_overflow")] + pub kafka_replay_overflow_topic: String, #[envconfig(default = "false")] pub kafka_tls: bool, #[envconfig(default = "")] diff --git a/rust/capture/src/limiters/redis.rs b/rust/capture/src/limiters/redis.rs index cc7e7d119d89b..1a59ddd3b0b54 100644 --- a/rust/capture/src/limiters/redis.rs +++ b/rust/capture/src/limiters/redis.rs @@ -29,7 +29,10 @@ use crate::redis::Client; /// /// Some small delay between an account being limited and the limit taking effect is acceptable. /// However, ideally we should not allow requests from some pods but 429 from others. -const QUOTA_LIMITER_CACHE_KEY: &str = "@posthog/quota-limits/"; + +// todo: fetch from env +pub const QUOTA_LIMITER_CACHE_KEY: &str = "@posthog/quota-limits/"; +pub const OVERFLOW_LIMITER_CACHE_KEY: &str = "@posthog/capture-overflow/"; #[derive(Debug)] pub enum QuotaResource { @@ -66,6 +69,7 @@ impl RedisLimiter { pub fn new( interval: Duration, redis: Arc, + limiter_cache_key: String, redis_key_prefix: Option, resource: QuotaResource, ) -> anyhow::Result { @@ -73,10 +77,10 @@ impl RedisLimiter { let key_prefix = redis_key_prefix.unwrap_or_default(); let limiter = RedisLimiter { - interval, limited, redis: redis.clone(), - key: format!("{key_prefix}{QUOTA_LIMITER_CACHE_KEY}{}", resource.as_str()), + key: format!("{key_prefix}{limiter_cache_key}{}", resource.as_str()), + interval, }; // Spawn a background task to periodically fetch data from Redis @@ -133,6 +137,7 @@ impl RedisLimiter { #[cfg(test)] mod tests { + use crate::limiters::redis::{OVERFLOW_LIMITER_CACHE_KEY, QUOTA_LIMITER_CACHE_KEY}; use std::sync::Arc; use time::Duration; @@ -143,12 +148,20 @@ mod tests { #[tokio::test] async fn test_dynamic_limited() { - let client = MockRedisClient::new() - .zrangebyscore_ret("@posthog/quota-limits/events", vec![String::from("banana")]); + let client = MockRedisClient::new().zrangebyscore_ret( + "@posthog/capture-overflow/recordings", + vec![String::from("banana")], + ); let client = Arc::new(client); - let limiter = RedisLimiter::new(Duration::seconds(1), client, None, QuotaResource::Events) - .expect("Failed to create billing limiter"); + let limiter = RedisLimiter::new( + Duration::seconds(1), + client, + OVERFLOW_LIMITER_CACHE_KEY.to_string(), + None, + QuotaResource::Recordings, + ) + .expect("Failed to create billing limiter"); tokio::time::sleep(std::time::Duration::from_millis(30)).await; assert!(!limiter.is_limited("not_limited").await); @@ -167,6 +180,7 @@ mod tests { let limiter = RedisLimiter::new( Duration::seconds(1), client.clone(), + QUOTA_LIMITER_CACHE_KEY.to_string(), None, QuotaResource::Events, ) @@ -178,6 +192,7 @@ mod tests { let prefixed_limiter = RedisLimiter::new( Duration::microseconds(1), client, + QUOTA_LIMITER_CACHE_KEY.to_string(), Some("prefix//".to_string()), QuotaResource::Events, ) diff --git a/rust/capture/src/server.rs b/rust/capture/src/server.rs index bb6f7aaf5dd5b..85d84a1d6fb7d 100644 --- a/rust/capture/src/server.rs +++ b/rust/capture/src/server.rs @@ -10,7 +10,9 @@ use crate::config::CaptureMode; use crate::config::Config; use crate::limiters::overflow::OverflowLimiter; -use crate::limiters::redis::{QuotaResource, RedisLimiter}; +use crate::limiters::redis::{ + QuotaResource, RedisLimiter, OVERFLOW_LIMITER_CACHE_KEY, QUOTA_LIMITER_CACHE_KEY, +}; use crate::redis::RedisClient; use crate::router; use crate::sinks::kafka::KafkaSink; @@ -25,9 +27,24 @@ where let redis_client = Arc::new(RedisClient::new(config.redis_url).expect("failed to create redis client")); + let replay_overflow_limiter = match config.capture_mode { + CaptureMode::Recordings => Some( + RedisLimiter::new( + Duration::seconds(5), + redis_client.clone(), + OVERFLOW_LIMITER_CACHE_KEY.to_string(), + config.redis_key_prefix.clone(), + QuotaResource::Recordings, + ) + .expect("failed to start replay overflow limiter"), + ), + _ => None, + }; + let billing_limiter = RedisLimiter::new( Duration::seconds(5), redis_client.clone(), + QUOTA_LIMITER_CACHE_KEY.to_string(), config.redis_key_prefix, match config.capture_mode { CaptureMode::Events => QuotaResource::Events, @@ -86,8 +103,13 @@ where Some(partition) } }; - let sink = KafkaSink::new(config.kafka, sink_liveness, partition) - .expect("failed to start Kafka sink"); + let sink = KafkaSink::new( + config.kafka, + sink_liveness, + partition, + replay_overflow_limiter, + ) + .expect("failed to start Kafka sink"); router::router( crate::time::SystemTime {}, diff --git a/rust/capture/src/sinks/kafka.rs b/rust/capture/src/sinks/kafka.rs index b1d5171390347..2d189abefa6b3 100644 --- a/rust/capture/src/sinks/kafka.rs +++ b/rust/capture/src/sinks/kafka.rs @@ -1,5 +1,4 @@ -use std::time::Duration; - +use crate::limiters::redis::RedisLimiter; use async_trait::async_trait; use health::HealthHandle; use metrics::{counter, gauge, histogram}; @@ -8,6 +7,7 @@ use rdkafka::message::{Header, OwnedHeaders}; use rdkafka::producer::{DeliveryFuture, FutureProducer, FutureRecord, Producer}; use rdkafka::util::Timeout; use rdkafka::ClientConfig; +use std::time::Duration; use tokio::task::JoinSet; use tracing::log::{debug, error, info}; use tracing::{info_span, instrument, Instrument}; @@ -114,6 +114,8 @@ pub struct KafkaSink { client_ingestion_warning_topic: String, exceptions_topic: String, heatmaps_topic: String, + replay_overflow_limiter: Option, + replay_overflow_topic: String, } impl KafkaSink { @@ -121,6 +123,7 @@ impl KafkaSink { config: KafkaConfig, liveness: HealthHandle, partition: Option, + replay_overflow_limiter: Option, ) -> anyhow::Result { info!("connecting to Kafka brokers at {}...", config.kafka_hosts); @@ -181,6 +184,8 @@ impl KafkaSink { client_ingestion_warning_topic: config.kafka_client_ingestion_warning_topic, exceptions_topic: config.kafka_exceptions_topic, heatmaps_topic: config.kafka_heatmaps_topic, + replay_overflow_topic: config.kafka_replay_overflow_topic, + replay_overflow_limiter, }) } @@ -222,14 +227,21 @@ impl KafkaSink { ), DataType::HeatmapMain => (&self.heatmaps_topic, Some(event_key.as_str())), DataType::ExceptionMain => (&self.exceptions_topic, Some(event_key.as_str())), - DataType::SnapshotMain => ( - &self.main_topic, - Some( - session_id - .as_deref() - .ok_or(CaptureError::MissingSessionId)?, - ), - ), + DataType::SnapshotMain => { + let session_id = session_id + .as_deref() + .ok_or(CaptureError::MissingSessionId)?; + let is_overflowing = match &self.replay_overflow_limiter { + None => false, + Some(limiter) => limiter.is_limited(session_id).await, + }; + + if is_overflowing { + (&self.replay_overflow_topic, Some(session_id)) + } else { + (&self.main_topic, Some(session_id)) + } + } }; match self.producer.send_result(FutureRecord { @@ -377,12 +389,13 @@ mod tests { kafka_client_ingestion_warning_topic: "events_plugin_ingestion".to_string(), kafka_exceptions_topic: "events_plugin_ingestion".to_string(), kafka_heatmaps_topic: "events_plugin_ingestion".to_string(), + kafka_replay_overflow_topic: "session_recording_snapshot_item_overflow".to_string(), kafka_tls: false, kafka_client_id: "".to_string(), kafka_metadata_max_age_ms: 60000, kafka_producer_max_retries: 2, }; - let sink = KafkaSink::new(config, handle, limiter).expect("failed to create sink"); + let sink = KafkaSink::new(config, handle, limiter, None).expect("failed to create sink"); (cluster, sink) } diff --git a/rust/capture/tests/common.rs b/rust/capture/tests/common.rs index e9b636ac9a735..02a0d2caa8a09 100644 --- a/rust/capture/tests/common.rs +++ b/rust/capture/tests/common.rs @@ -26,7 +26,9 @@ use tokio::time::timeout; use tracing::{debug, warn}; use capture::config::{CaptureMode, Config, KafkaConfig}; -use capture::limiters::redis::QuotaResource; +use capture::limiters::redis::{ + QuotaResource, OVERFLOW_LIMITER_CACHE_KEY, QUOTA_LIMITER_CACHE_KEY, +}; use capture::server::serve; pub static DEFAULT_CONFIG: Lazy = Lazy::new(|| Config { @@ -49,6 +51,7 @@ pub static DEFAULT_CONFIG: Lazy = Lazy::new(|| Config { kafka_client_ingestion_warning_topic: "events_plugin_ingestion".to_string(), kafka_exceptions_topic: "events_plugin_ingestion".to_string(), kafka_heatmaps_topic: "events_plugin_ingestion".to_string(), + kafka_replay_overflow_topic: "session_recording_snapshot_item_overflow".to_string(), kafka_tls: false, kafka_client_id: "".to_string(), kafka_metadata_max_age_ms: 60000, @@ -278,7 +281,27 @@ impl PrefixedRedis { } pub fn add_billing_limit(&self, res: QuotaResource, token: &str, until: time::Duration) { - let key = format!("{}@posthog/quota-limits/{}", self.key_prefix, res.as_str()); + let key = format!( + "{}{}{}", + self.key_prefix, + QUOTA_LIMITER_CACHE_KEY, + res.as_str() + ); + let score = OffsetDateTime::now_utc().add(until).unix_timestamp(); + self.client + .get_connection() + .expect("failed to get connection") + .zadd::(key, token, score) + .expect("failed to insert in redis"); + } + + pub fn add_overflow_limit(&self, res: QuotaResource, token: &str, until: time::Duration) { + let key = format!( + "{}{}{}", + self.key_prefix, + OVERFLOW_LIMITER_CACHE_KEY, + res.as_str() + ); let score = OffsetDateTime::now_utc().add(until).unix_timestamp(); self.client .get_connection() diff --git a/rust/capture/tests/django_compat.rs b/rust/capture/tests/django_compat.rs index a5f81aa589c51..f6509750ddf78 100644 --- a/rust/capture/tests/django_compat.rs +++ b/rust/capture/tests/django_compat.rs @@ -6,8 +6,7 @@ use base64::engine::general_purpose; use base64::Engine; use capture::api::{CaptureError, CaptureResponse, CaptureResponseCode, DataType, ProcessedEvent}; use capture::config::CaptureMode; -use capture::limiters::redis::QuotaResource; -use capture::limiters::redis::RedisLimiter; +use capture::limiters::redis::{QuotaResource, RedisLimiter, QUOTA_LIMITER_CACHE_KEY}; use capture::redis::MockRedisClient; use capture::router::router; use capture::sinks::Event; @@ -105,6 +104,7 @@ async fn it_matches_django_capture_behaviour() -> anyhow::Result<()> { let billing_limiter = RedisLimiter::new( Duration::weeks(1), redis.clone(), + QUOTA_LIMITER_CACHE_KEY.to_string(), None, QuotaResource::Events, ) diff --git a/rust/capture/tests/recordings.rs b/rust/capture/tests/recordings.rs index 1dfd763701164..fab1ce38a57b1 100644 --- a/rust/capture/tests/recordings.rs +++ b/rust/capture/tests/recordings.rs @@ -1,8 +1,12 @@ use crate::common::*; use anyhow::Result; use assert_json_diff::assert_json_include; +use capture::config::CaptureMode; +use capture::limiters::redis::QuotaResource; use reqwest::StatusCode; -use serde_json::json; +use serde_json::{json, value::Value}; +use time::Duration; + mod common; #[tokio::test] @@ -117,3 +121,103 @@ async fn it_defaults_window_id_to_session_id() -> Result<()> { assert_eq!(StatusCode::OK, res.status()); Ok(()) } + +#[tokio::test] +async fn it_applies_overflow_limits() -> Result<()> { + setup_tracing(); + let token = random_string("token", 16); + let session1 = random_string("session1", 16); + let session2 = random_string("session2", 16); + let session3 = random_string("session3", 16); + let distinct_id = random_string("id", 16); + + let topic = EphemeralTopic::new().await; + let overflow_topic = EphemeralTopic::new().await; + + // Setup overflow limits: + // - session1 limit is expired -> accept messages + // - session2 limit is active -> send to overflow + // - session3 is not in redis -> accept by default + let redis = PrefixedRedis::new().await; + redis.add_overflow_limit(QuotaResource::Recordings, &session1, Duration::seconds(-60)); + redis.add_overflow_limit(QuotaResource::Recordings, &session2, Duration::seconds(60)); + + let mut config = DEFAULT_CONFIG.clone(); + config.redis_key_prefix = redis.key_prefix(); + config.kafka.kafka_topic = topic.topic_name().to_string(); + config.kafka.kafka_replay_overflow_topic = overflow_topic.topic_name().to_string(); + config.kafka.kafka_replay_overflow_topic = overflow_topic.topic_name().to_string(); + config.capture_mode = CaptureMode::Recordings; + let server = ServerHandle::for_config(config).await; + + for payload in [ + json!({ + "token": token, + "event": "testing", + "distinct_id": distinct_id, + "properties": { + "$session_id": session1, + "$snapshot_data": [], + }, + }), + json!({ + "token": token, + "event": "testing", + "distinct_id": distinct_id, + "properties": { + "$session_id": session2, + "$snapshot_data": [], + }, + }), + json!({ + "token": token, + "event": "testing", + "distinct_id": distinct_id, + "properties": { + "$session_id": session3, + "$snapshot_data": [], + }, + }), + ] { + let res = server.capture_recording(payload.to_string()).await; + assert_eq!(StatusCode::OK, res.status()); + } + + // Batches 1 and 3 go through, batch 2 is sent to overflow + assert_json_include!( + actual: serde_json::from_str::(topic.next_event()?.get("data").unwrap().as_str().unwrap())?, + expected: json!({ + "event": "$snapshot_items", + "properties": { + "$session_id": session1, + "distinct_id": distinct_id, + "$snapshot_items": [], + }, + }) + ); + assert_json_include!( + actual: serde_json::from_str::(topic.next_event()?.get("data").unwrap().as_str().unwrap())?, + expected: json!({ + "event": "$snapshot_items", + "properties": { + "$session_id": session3, + "distinct_id": distinct_id, + "$snapshot_items": [], + }, + }) + ); + + assert_json_include!( + actual: serde_json::from_str::(overflow_topic.next_event()?.get("data").unwrap().as_str().unwrap())?, + expected: json!({ + "event": "$snapshot_items", + "properties": { + "$session_id": session2, + "distinct_id": distinct_id, + "$snapshot_items": [], + }, + }) + ); + + Ok(()) +} From 5c875d52394602116dbc4e812c936351301a899c Mon Sep 17 00:00:00 2001 From: timgl Date: Tue, 10 Sep 2024 11:43:10 +0100 Subject: [PATCH 55/66] fxi --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 9edfccce1ee6b..fe41a917713f8 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -431,8 +431,8 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): raise ValidationError("You need to specify either distinct_ids or ids") for person in persons: - self.perform_destroy(person) delete_person(person=person) + self.perform_destroy(person) log_activity( organization_id=self.organization.id, team_id=self.team_id, From bb0555805de299a6d661a39c5430a2138544cb0c Mon Sep 17 00:00:00 2001 From: timgl Date: Wed, 4 Sep 2024 16:56:40 +0100 Subject: [PATCH 56/66] feat: Add bulk deletion endpoint --- posthog/api/person.py | 67 +++++++++++++++++++++++++++ posthog/api/test/test_person.py | 81 +++++++++++++++++++++++++++++++++ 2 files changed, 148 insertions(+) diff --git a/posthog/api/person.py b/posthog/api/person.py index b623d6a39bc66..8ed257cbea66f 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -359,6 +359,9 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. ], ) def destroy(self, request: request.Request, pk=None, **kwargs): + """ + Use this endpoint to delete individual persons. If you wnat to bulk delete, use the bulk_delete endpoint. + """ try: person = self.get_object() person_id = person.id @@ -391,6 +394,70 @@ def destroy(self, request: request.Request, pk=None, **kwargs): except Person.DoesNotExist: raise NotFound(detail="Person not found.") + @extend_schema( + parameters=[ + OpenApiParameter( + "delete_events", + OpenApiTypes.BOOL, + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + default=False, + ), + OpenApiParameter( + "distinct_ids", + OpenApiTypes.OBJECT, + description="A list of distinct ids. We'll delete all persons associated with those distinct ids. The maximum amount of ids you can pass in one call is 100.", + ), + OpenApiParameter( + "ids", + OpenApiTypes.OBJECT, + description="A list of PostHog person ids. We'll automatically fetch all related persons and delete those. The maximum amount of ids you can pass in one call is 100.", + ), + ], + ) + @action(methods=["POST"], detail=False, required_scopes=["person:write"]) + def bulk_delete(self, request: request.Request, pk=None, **kwargs): + """ + This endpoint allows you to bulk delete persons, either by the PostHog persons ID or by distinct IDs. You can pass through a maximum of 100 ids per call. + """ + if request.data.get("distinct_ids"): + if len(request.data["distinct_ids"]) > 100: + raise ValidationError("You can only pass 100 distinct_ids in one call") + persons = self.get_queryset().filter(persondistinctid__distinct_id__in=request.data.get("distinct_ids")) + elif request.data.get("ids"): + if len(request.data["ids"]) > 100: + raise ValidationError("You can only pass 100 ids in one call") + persons = self.get_queryset().filter(uuid__in=request.data["ids"]) + else: + raise ValidationError("You need to specify either distinct_ids or ids") + + for person in persons: + delete_person(person=person) + self.perform_destroy(person) + log_activity( + organization_id=self.organization.id, + team_id=self.team_id, + user=cast(User, request.user), + was_impersonated=is_impersonated_session(request), + item_id=person.id, + scope="Person", + activity="deleted", + detail=Detail(name=str(person.uuid)), + ) + # Once the person is deleted, queue deletion of associated data, if that was requested + if request.data.get("delete_events"): + AsyncDeletion.objects.bulk_create( + [ + AsyncDeletion( + deletion_type=DeletionType.Person, + team_id=self.team_id, + key=str(person.uuid), + created_by=cast(User, self.request.user), + ) + ], + ignore_conflicts=True, + ) + return response.Response(status=202) + @action(methods=["GET"], detail=False, required_scopes=["person:read"]) def values(self, request: request.Request, **kwargs) -> response.Response: key = request.GET.get("key") diff --git a/posthog/api/test/test_person.py b/posthog/api/test/test_person.py index 22895191c1f74..fd2c6e042a15f 100644 --- a/posthog/api/test/test_person.py +++ b/posthog/api/test/test_person.py @@ -378,6 +378,87 @@ def test_delete_person_and_events(self): self.assertEqual(async_deletion.key, str(person.uuid)) self.assertIsNone(async_deletion.delete_verified_at) + @freeze_time("2021-08-25T22:09:14.252Z") + def test_bulk_delete_ids(self): + person = _create_person( + team=self.team, + distinct_ids=["person_1", "anonymous_id"], + properties={"$os": "Chrome"}, + immediate=True, + ) + person2 = _create_person( + team=self.team, + distinct_ids=["person_2", "anonymous_id_2"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_event(event="test", team=self.team, distinct_id="person_1") + _create_event(event="test", team=self.team, distinct_id="anonymous_id") + _create_event(event="test", team=self.team, distinct_id="someone_else") + + response = self.client.post( + f"/api/person/bulk_delete/", {"ids": [person.uuid, person2.uuid], "delete_events": True} + ) + + self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED, response.content) + self.assertEqual(response.content, b"") # Empty response + self.assertEqual(Person.objects.filter(team=self.team).count(), 0) + + response = self.client.delete(f"/api/person/{person.uuid}/") + self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) + + ch_persons = sync_execute( + "SELECT version, is_deleted, properties FROM person FINAL WHERE team_id = %(team_id)s and id = %(uuid)s", + {"team_id": self.team.pk, "uuid": person.uuid}, + ) + self.assertEqual([(100, 1, "{}")], ch_persons) + + # async deletion scheduled and executed + async_deletion = cast(AsyncDeletion, AsyncDeletion.objects.filter(team_id=self.team.id).first()) + self.assertEqual(async_deletion.deletion_type, DeletionType.Person) + self.assertEqual(async_deletion.key, str(person.uuid)) + self.assertIsNone(async_deletion.delete_verified_at) + + @freeze_time("2021-08-25T22:09:14.252Z") + def test_bulk_delete_distinct_id(self): + person = _create_person( + team=self.team, + distinct_ids=["person_1", "anonymous_id"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_person( + team=self.team, + distinct_ids=["person_2", "anonymous_id_2"], + properties={"$os": "Chrome"}, + immediate=True, + ) + _create_event(event="test", team=self.team, distinct_id="person_1") + _create_event(event="test", team=self.team, distinct_id="anonymous_id") + _create_event(event="test", team=self.team, distinct_id="someone_else") + + response = self.client.post(f"/api/person/bulk_delete/", {"distinct_ids": ["anonymous_id", "person_2"]}) + + self.assertEqual(response.status_code, status.HTTP_202_ACCEPTED, response.content) + self.assertEqual(response.content, b"") # Empty response + self.assertEqual(Person.objects.filter(team=self.team).count(), 0) + + response = self.client.delete(f"/api/person/{person.uuid}/") + self.assertEqual(response.status_code, status.HTTP_404_NOT_FOUND) + + ch_persons = sync_execute( + "SELECT version, is_deleted, properties FROM person FINAL WHERE team_id = %(team_id)s and id = %(uuid)s", + {"team_id": self.team.pk, "uuid": person.uuid}, + ) + self.assertEqual([(100, 1, "{}")], ch_persons) + # No async deletion is scheduled + self.assertEqual(AsyncDeletion.objects.filter(team_id=self.team.id).count(), 0) + ch_events = sync_execute( + "SELECT count() FROM events WHERE team_id = %(team_id)s", + {"team_id": self.team.pk}, + )[0][0] + self.assertEqual(ch_events, 3) + @freeze_time("2021-08-25T22:09:14.252Z") def test_split_people_keep_props(self) -> None: # created first From dceb26f09156ea8986cd8f07878f712b95cdc56a Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 15:19:21 +0100 Subject: [PATCH 57/66] fix --- posthog/api/person.py | 21 +++++++++++---------- 1 file changed, 11 insertions(+), 10 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 8ed257cbea66f..ab4132d107ef5 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -703,16 +703,17 @@ def _set_properties(self, properties, user): }, ) - log_activity( - organization_id=self.organization.id, - team_id=self.team.id, - user=user, - was_impersonated=is_impersonated_session(self.request), - item_id=instance.pk, - scope="Person", - activity="updated", - detail=Detail(changes=[Change(type="Person", action="changed", field="properties")]), - ) + if self.organization.id: # should always be true, but mypy... + log_activity( + organization_id=self.organization.id, + team_id=self.team.id, + user=user, + was_impersonated=is_impersonated_session(self.request), + item_id=instance.pk, + scope="Person", + activity="updated", + detail=Detail(changes=[Change(type="Person", action="changed", field="properties")]), + ) # PRAGMA: Methods for getting Persons via clickhouse queries def _respond_with_cached_results( From b7e8a75af89b95a6a9759ff9073dea2892f20483 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:40:08 +0100 Subject: [PATCH 58/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index ab4132d107ef5..ff5bc4d3901ac 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -405,7 +405,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "distinct_ids", OpenApiTypes.OBJECT, - description="A list of distinct ids. We'll delete all persons associated with those distinct ids. The maximum amount of ids you can pass in one call is 100.", + description="A list of distinct IDs, up to 100 of them. We'll delete all persons associated with those distinct IDs.", ), OpenApiParameter( "ids", From 735c9691cf63cac7b44205fc59b943a72c57a4c6 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:43:13 +0100 Subject: [PATCH 59/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index ff5bc4d3901ac..c642cdcc9913b 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -360,7 +360,7 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. ) def destroy(self, request: request.Request, pk=None, **kwargs): """ - Use this endpoint to delete individual persons. If you wnat to bulk delete, use the bulk_delete endpoint. + Use this endpoint to delete individual persons. For bulk deletion, use the bulk_delete endpoint instead. """ try: person = self.get_object() From 0ff2391b9810fd14807887bf3018a5f41bba39e9 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:43:18 +0100 Subject: [PATCH 60/66] Update posthog/api/person.py Co-authored-by: Michael Matloka --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index c642cdcc9913b..5bd2f6fdbccd3 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -417,7 +417,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): @action(methods=["POST"], detail=False, required_scopes=["person:write"]) def bulk_delete(self, request: request.Request, pk=None, **kwargs): """ - This endpoint allows you to bulk delete persons, either by the PostHog persons ID or by distinct IDs. You can pass through a maximum of 100 ids per call. + This endpoint allows you to bulk delete persons, either by the PostHog person IDs or by distinct IDs. You can pass in a maximum of 100 IDs per call. """ if request.data.get("distinct_ids"): if len(request.data["distinct_ids"]) > 100: From 0bb1f89dc97c338f531f251fd7099472a7b4af1e Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:55:33 +0100 Subject: [PATCH 61/66] nit --- posthog/api/person.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 5bd2f6fdbccd3..8a464c9fc4fca 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -410,7 +410,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "ids", OpenApiTypes.OBJECT, - description="A list of PostHog person ids. We'll automatically fetch all related persons and delete those. The maximum amount of ids you can pass in one call is 100.", + description="A list of PostHog person IDs, up to 100 of them. We'll delete all the persons listed.", ), ], ) @@ -419,14 +419,14 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): """ This endpoint allows you to bulk delete persons, either by the PostHog person IDs or by distinct IDs. You can pass in a maximum of 100 IDs per call. """ - if request.data.get("distinct_ids"): - if len(request.data["distinct_ids"]) > 100: + if distinct_ids := request.data.get("distinct_ids"): + if len(distinct_ids) > 100: raise ValidationError("You can only pass 100 distinct_ids in one call") - persons = self.get_queryset().filter(persondistinctid__distinct_id__in=request.data.get("distinct_ids")) - elif request.data.get("ids"): - if len(request.data["ids"]) > 100: + persons = self.get_queryset().filter(persondistinctid__distinct_id__in=distinct_ids) + elif ids := request.data.get("ids"): + if len(ids) > 100: raise ValidationError("You can only pass 100 ids in one call") - persons = self.get_queryset().filter(uuid__in=request.data["ids"]) + persons = self.get_queryset().filter(uuid__in=ids) else: raise ValidationError("You need to specify either distinct_ids or ids") From 93857edd0ccfae37536423cc46aeb38fe00a88d3 Mon Sep 17 00:00:00 2001 From: timgl Date: Thu, 5 Sep 2024 16:56:03 +0100 Subject: [PATCH 62/66] docs nit --- posthog/api/person.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 8a464c9fc4fca..b410de3d7da68 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -353,7 +353,7 @@ def list(self, request: request.Request, *args: Any, **kwargs: Any) -> response. OpenApiParameter( "delete_events", OpenApiTypes.BOOL, - description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday", default=False, ), ], @@ -399,7 +399,7 @@ def destroy(self, request: request.Request, pk=None, **kwargs): OpenApiParameter( "delete_events", OpenApiTypes.BOOL, - description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday (controlled by environment variable CLEAR_CLICKHOUSE_REMOVED_DATA_SCHEDULE_CRON)", + description="If true, a task to delete all events associated with this person will be created and queued. The task does not run immediately and instead is batched together and at 5AM UTC every Sunday", default=False, ), OpenApiParameter( From 8cd543b6ad8ad12653b21228e56cbbc9389307d4 Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Sat, 7 Sep 2024 00:50:22 +0200 Subject: [PATCH 63/66] Remove from Postgres before ClickHouse emit --- posthog/api/person.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index b410de3d7da68..9edfccce1ee6b 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -365,8 +365,8 @@ def destroy(self, request: request.Request, pk=None, **kwargs): try: person = self.get_object() person_id = person.id - delete_person(person=person) self.perform_destroy(person) + delete_person(person=person) log_activity( organization_id=self.organization.id, team_id=self.team_id, @@ -431,8 +431,8 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): raise ValidationError("You need to specify either distinct_ids or ids") for person in persons: - delete_person(person=person) self.perform_destroy(person) + delete_person(person=person) log_activity( organization_id=self.organization.id, team_id=self.team_id, From 3c5f554174ea42d3f2c6854243ac2acbe961f598 Mon Sep 17 00:00:00 2001 From: Michael Matloka Date: Mon, 9 Sep 2024 09:23:01 +0200 Subject: [PATCH 64/66] Fix `person` instance access --- posthog/models/person/util.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/posthog/models/person/util.py b/posthog/models/person/util.py index 0e1efa7bdb2c9..4dbf3117a1a46 100644 --- a/posthog/models/person/util.py +++ b/posthog/models/person/util.py @@ -232,9 +232,9 @@ def get_persons_by_uuids(team: Team, uuids: list[str]) -> QuerySet: def delete_person(person: Person, sync: bool = False) -> None: # This is racy https://github.com/PostHog/posthog/issues/11590 distinct_ids_to_version = _get_distinct_ids_with_version(person) - _delete_person(person.team.id, person.uuid, int(person.version or 0), person.created_at, sync) + _delete_person(person.team_id, person.uuid, int(person.version or 0), person.created_at, sync) for distinct_id, version in distinct_ids_to_version.items(): - _delete_ch_distinct_id(person.team.id, person.uuid, distinct_id, version, sync) + _delete_ch_distinct_id(person.team_id, person.uuid, distinct_id, version, sync) def _delete_person( From 9a29853d615bd617477772b0f3354d35419f09bb Mon Sep 17 00:00:00 2001 From: timgl Date: Tue, 10 Sep 2024 11:43:10 +0100 Subject: [PATCH 65/66] fxi --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index 9edfccce1ee6b..fe41a917713f8 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -431,8 +431,8 @@ def bulk_delete(self, request: request.Request, pk=None, **kwargs): raise ValidationError("You need to specify either distinct_ids or ids") for person in persons: - self.perform_destroy(person) delete_person(person=person) + self.perform_destroy(person) log_activity( organization_id=self.organization.id, team_id=self.team_id, From 37af305e656b5a67c10aaf78e584328f7e97bc19 Mon Sep 17 00:00:00 2001 From: timgl Date: Tue, 10 Sep 2024 12:59:37 +0100 Subject: [PATCH 66/66] fix --- posthog/api/person.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/posthog/api/person.py b/posthog/api/person.py index fe41a917713f8..b410de3d7da68 100644 --- a/posthog/api/person.py +++ b/posthog/api/person.py @@ -365,8 +365,8 @@ def destroy(self, request: request.Request, pk=None, **kwargs): try: person = self.get_object() person_id = person.id - self.perform_destroy(person) delete_person(person=person) + self.perform_destroy(person) log_activity( organization_id=self.organization.id, team_id=self.team_id,
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samplingFactor, }: CardMetaProps): JSX.Element { const { ref: primaryRef, width: primaryWidth } = useResizeObserver() const { ref: detailsRef, height: detailsHeight } = useResizeObserver() @@ -68,7 +71,20 @@ export function CardMeta({ )}