From 103ad95f2b70ffc157ede8c81957d052eea192c7 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Jacques=20Verr=C3=A9?= Date: Wed, 30 Oct 2024 12:00:47 +0000 Subject: [PATCH] Added search_traces method in the SDK (#484) * Added search_traces method in the SDK * Update following code review --- .../docs/tracing/exporting_traces.md | 111 +++++++++ .../documentation/sidebars.ts | 1 + .../static/img/tracing/download_traces.png | Bin 0 -> 265284 bytes .../source/Objects/TracePublic.rst | 5 + .../python-sdk-docs/source/index.rst | 3 + .../src/opik/api_objects/opik_client.py | 38 +++ .../opik/api_objects/opik_query_language.py | 220 ++++++++++++++++++ sdks/python/tests/e2e/test_tracing.py | 45 ++++ .../api_objects/test_opik_query_language.py | 59 +++++ 9 files changed, 482 insertions(+) create mode 100644 apps/opik-documentation/documentation/docs/tracing/exporting_traces.md create mode 100644 apps/opik-documentation/documentation/static/img/tracing/download_traces.png create mode 100644 apps/opik-documentation/python-sdk-docs/source/Objects/TracePublic.rst create mode 100644 sdks/python/src/opik/api_objects/opik_query_language.py create mode 100644 sdks/python/tests/unit/api_objects/test_opik_query_language.py diff --git a/apps/opik-documentation/documentation/docs/tracing/exporting_traces.md b/apps/opik-documentation/documentation/docs/tracing/exporting_traces.md new file mode 100644 index 000000000..1b7bd5c60 --- /dev/null +++ b/apps/opik-documentation/documentation/docs/tracing/exporting_traces.md @@ -0,0 +1,111 @@ +--- +sidebar_label: Exporting Traces +--- + +# Exporting Traces + +You can export the traces you have logged to the Opik platform using: + +1. Using the Opik SDK: You can use the [`Opik.search_traces`](https://www.comet.com/docs/opik/python-sdk-reference/Opik.html#opik.Opik.search_traces) method to export traces. +2. Using the Opik REST API: You can use the [`/traces`](/reference/rest_api/get-traces-by-project.api.mdx) endpoint to export traces. +3. Using the UI: Once you have selected the traces you want to export, you can click on the `Export CSV` button in the `Actions` dropdown. + +:::tip +The recommended way to export traces is to use the [`Opik.search_traces`](https://www.comet.com/docs/opik/python-sdk-reference/Opik.html#opik.Opik.search_traces) method in the Opik SDK. +::: + +## Using the Opik SDK + +The [`Opik.search_traces`](https://www.comet.com/docs/opik/python-sdk-reference/Opik.html#opik.Opik.search_traces) method allows you to both export all the traces in a project or search for specific traces and export them. + +### Exporting all traces + +To export all traces, you will need to specify a `max_results` value that is higher than the total number of traces in your project: + +```python +import opik + +client = opik.Opik() + +traces = client.search_traces(project_name="Default project", max_results=1000000) +``` + +### Search for specific traces + +You can use the `filter_string` parameter to search for specific traces: + +```python +import opik + +client = opik.Opik() + +traces = client.search_traces(project_name="Default project", filter_string='input contains "Opik"') + +# Convert to Dict if required +traces = [trace.dict() for trace in traces] +``` + +The `filter_string` parameter should follow the format ` ` with: + +1. ``: The column to filter on, these can be: + - `name` + - `input` + - `output` + - `start_time` + - `end_time` + - `metadata` + - `feedback_score` + - `tags` + - `usage.total_tokens` + - `usage.prompt_tokens` + - `usage.completion_tokens`. +2. ``: The operator to use for the filter, this can be `=`, `!=`, `>`, `>=`, `<`, `<=`, `contains`, `not_contains`. Not that not all operators are supported for all columns. +3. ``: The value to filter on. If you are filtering on a string, you will need to wrap it in double quotes. + +Here are some additional examples of valid `filter_string` values: + +```python +import opik + +client = opik.Opik( + project_name="Default project" +) + +traces = client.search_traces(filter_string='input contains "Opik"') +traces = client.search_traces(filter_string='start_time >= "2024-01-01T00:00:00Z"') +traces = client.search_traces(filter_string='tags contains "production"') +traces = client.search_traces(filter_string='usage.total_tokens > 1000') +traces = client.search_traces(filter_string='metadata.model = "gpt-4o"') +``` + +## Using the Opik REST API + +To export traces using the Opik REST API, you can use the [`/traces`](/reference/rest_api/get-traces-by-project.api.mdx) endpoint. This endpoint is paginated so you will need to make multiple requests to retrieve all the traces you want. + +To search for specific traces, you can use the `filter` parameter. While this is a string parameter, it does not follow the same format as the `filter_string` parameter in the Opik SDK. Instead it is a list of json objects with the following format: + +```json +[ + { + "field": "name", + "type": "string", + "operator": "=", + "value": "Opik" + } +] +``` + +:::warning +The `filter` parameter was designed to be used with the Opik UI and is therefore not very flexible. If you need more flexibility, +please raise an issue on [GitHub](https://github.com/comet-ml/opik/issues) so we can help. +::: + +## Using the UI + +To export traces as a CSV file from the UI, you can simply select the traces you wish to export and click on `Export CSV` in the `Actions` dropdown: + +![Export CSV](/img/tracing/download_traces.png) + +:::tip +The UI only allows you to export up to 100 traces at a time as it is linked to the page size of the traces table. If you need to export more traces, we recommend using the Opik SDK. +::: diff --git a/apps/opik-documentation/documentation/sidebars.ts b/apps/opik-documentation/documentation/sidebars.ts index e73eaa272..5ffa58da0 100644 --- a/apps/opik-documentation/documentation/sidebars.ts +++ b/apps/opik-documentation/documentation/sidebars.ts @@ -31,6 +31,7 @@ const sidebars: SidebarsConfig = { "tracing/log_distributed_traces", "tracing/annotate_traces", "tracing/sdk_configuration", + "tracing/exporting_traces", { type: "category", label: "Integrations", diff --git a/apps/opik-documentation/documentation/static/img/tracing/download_traces.png b/apps/opik-documentation/documentation/static/img/tracing/download_traces.png new file mode 100644 index 0000000000000000000000000000000000000000..afa18d5bd1f18073f373322ebd27641fdd336e3b GIT binary patch literal 265284 zcmb5WbzB_H@-Iw)1PHDhf@ZPc3GNVl@!(F-#oaXohXBECad&qM7Tnzlwz#{#n{&=j z-h2PJPxdpj)7#Viov!NY>gwv64N;JjK!5%AH5?oqI!IDf5f1LPJsceT3i2yhPAn^l 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a/apps/opik-documentation/python-sdk-docs/source/index.rst +++ b/apps/opik-documentation/python-sdk-docs/source/index.rst @@ -95,6 +95,8 @@ Evaluations are run using the `evaluate` function, this function takes a dataset from opik.integrations.openai import track_openai from typing import Dict + from typing import Dict + # Define the task to evaluate openai_client = track_openai(openai.OpenAI()) @@ -175,6 +177,7 @@ You can learn more about the `opik` python SDK in the following sections: Objects/Trace.rst Objects/TraceData.rst + Objects/TracePublic.rst Objects/Span.rst Objects/SpanData.rst Objects/FeedbackScoreDict.rst diff --git a/sdks/python/src/opik/api_objects/opik_client.py b/sdks/python/src/opik/api_objects/opik_client.py index b921815a7..941ab4929 100644 --- a/sdks/python/src/opik/api_objects/opik_client.py +++ b/sdks/python/src/opik/api_objects/opik_client.py @@ -7,6 +7,7 @@ from ..types import SpanType, UsageDict, FeedbackScoreDict from . import ( + opik_query_language, span, trace, dataset, @@ -494,6 +495,43 @@ def flush(self, timeout: Optional[int] = None) -> None: timeout = timeout if timeout is not None else self._flush_timeout self._streamer.flush(timeout) + def search_traces( + self, + project_name: Optional[str] = None, + filter_string: Optional[str] = None, + max_results: int = 1000, + ) -> List[trace_public.TracePublic]: + """ + Search for traces in the given project. + + Args: + project_name: The name of the project to search traces in. If not provided the project name configured when the Client was created will be used. + filter_string: A filter string to narrow down the search. If not provided, all traces in the project will be returned up to the limit. + max_results: The maximum number of traces to return. + """ + + page_size = 200 + traces: List[trace_public.TracePublic] = [] + + filters = opik_query_language.OpikQueryLanguage(filter_string).parsed_filters + + page = 1 + while len(traces) < max_results: + page_traces = self._rest_client.traces.get_traces_by_project( + project_name=project_name or self._project_name, + filters=filters, + page=page, + size=page_size, + ) + + if len(page_traces.content) == 0: + break + + traces.extend(page_traces.content) + page += 1 + + return traces[:max_results] + def get_trace_content(self, id: str) -> trace_public.TracePublic: """ Args: diff --git a/sdks/python/src/opik/api_objects/opik_query_language.py b/sdks/python/src/opik/api_objects/opik_query_language.py new file mode 100644 index 000000000..1d589d76c --- /dev/null +++ b/sdks/python/src/opik/api_objects/opik_query_language.py @@ -0,0 +1,220 @@ +""" +This file contains the OQL parser and validator. It is currently limited in scope to only support +simple filters without "and" or "or" operators. +""" + +import json + +from typing import Any, Dict, Optional + +COLUMNS = { + "name": "string", + "start_time": "date_time", + "end_time": "date_time", + "input": "string", + "output": "string", + "metadata": "dictionary", + "feedback_scores": "feedback_scores_number", + "tags": "list", + "usage.total_tokens": "number", + "usage.prompt_tokens": "number", + "usage.completion_tokens": "number", +} + +SUPPORTED_OPERATORS = { + "name": ["=", "contains", "not_contains"], + "start_time": ["=", ">", "<", ">=", "<="], + "end_time": ["=", ">", "<", ">=", "<="], + "input": ["=", "contains", "not_contains"], + "output": ["=", "contains", "not_contains"], + "metadata": ["=", "contains", ">", "<"], + "feedback_scores": ["=", ">", "<", ">=", "<="], + "tags": ["contains"], + "usage.total_tokens": ["=", ">", "<", ">=", "<="], + "usage.prompt_tokens": ["=", ">", "<", ">=", "<="], + "usage.completion_tokens": ["=", ">", "<", ">=", "<="], +} + + +class OpikQueryLanguage: + """ + This method implements a parser that can be used to convert a filter string into a list of filters that the BE expects. + + For example, this class allows you to convert the query string: `input contains "hello"` into + `[{'field': 'input', 'operator': 'contains', 'value': 'hello'}]` as expected by the BE. + + When converting a query string into another format, a common approach is: + 1. First convert the string into a series of tokens using a tokenizer + 2. Convert the list of tokens into a Abstract Syntax Tree (AST) using a parser + 3. Traverse the AST and convert it into the desired format using a formatter + + Due to the simple nature of the queries we currently support (no support for and/or operators, etc), we have have + combined the tokenizer and formatter steps into a single parse method. + + The parse method works by iterating over the string character by character and extracting / validating the tokens. + """ + + def __init__(self, query_string: Optional[str]): + self.query_string = query_string or "" + + self._cursor = 0 + self.parsed_filters = self._parse() + + def _is_valid_field_char(self, char: str) -> bool: + return char.isalnum() or char == "_" + + def _skip_whitespace(self) -> None: + while ( + self._cursor < len(self.query_string) + and self.query_string[self._cursor].isspace() + ): + self._cursor += 1 + + def _parse_field(self) -> Dict[str, Any]: + # Skip whitespace + self._skip_whitespace() + + # Parse the field name + start = self._cursor + while self._cursor < len(self.query_string) and self._is_valid_field_char( + self.query_string[self._cursor] + ): + self._cursor += 1 + field = self.query_string[start : self._cursor] + + # Parse the key if it exists + if self.query_string[self._cursor] == ".": + self._cursor += 1 + start = self._cursor + while self._cursor < len(self.query_string) and self._is_valid_field_char( + self.query_string[self._cursor] + ): + self._cursor += 1 + key = self.query_string[start : self._cursor] + + # Keys are only supported for usage, feedback_scores and metadata + if field not in ["usage", "feedback_scores", "metadata"]: + raise ValueError( + f"Field {field}.{key} is not supported, only the fields {COLUMNS.keys()} are supported." + ) + elif field == "usage": + if key not in ["total_tokens", "prompt_tokens", "completion_tokens"]: + raise ValueError( + f"When querying usage, {key} is not supported, only usage.total_tokens, usage.prompt_tokens and usage.completion_tokens are supported." + ) + else: + return { + "field": f"usage.{key}", + "key": "", + "type": COLUMNS[f"usage.{key}"], + } + else: + return {"field": field, "key": key, "type": COLUMNS[field]} + + else: + return {"field": field, "key": "", "type": COLUMNS[field]} + + def _parse_operator(self, parsed_field: str) -> Dict[str, Any]: + # Skip whitespace + self._skip_whitespace() + + # Parse the operator + if self.query_string[self._cursor] == "=": + operator = "=" + self._cursor += 1 + return {"operator": operator} + + elif self.query_string[self._cursor] in ["<", ">"]: + if self.query_string[self._cursor + 1] == "=": + operator = f"{self.query_string[self._cursor]}=" + self._cursor += 2 + else: + operator = self.query_string[self._cursor] + self._cursor += 1 + + if operator not in SUPPORTED_OPERATORS[parsed_field]: + raise ValueError( + f"Operator {operator} is not supported for field {parsed_field}, only the operators {SUPPORTED_OPERATORS[parsed_field]} are supported." + ) + return {"operator": operator} + else: + start = self._cursor + while ( + self._cursor < len(self.query_string) + and not self.query_string[self._cursor].isspace() + ): + self._cursor += 1 + + operator = self.query_string[start : self._cursor] + if operator not in ["contains", "not_contains"]: + raise ValueError( + f"Operator {operator} is not supported for field {parsed_field}, only the operators {SUPPORTED_OPERATORS[parsed_field]} are supported." + ) + return {"operator": operator} + + def _get_number(self) -> str: + start = self._cursor + while ( + self._cursor < len(self.query_string) + and self.query_string[self._cursor].isdigit() + ): + self._cursor += 1 + return self.query_string[start : self._cursor] + + def _parse_value(self) -> Dict[str, Any]: + self._skip_whitespace() + + start = self._cursor + if self.query_string[self._cursor] == '"': + self._cursor += 1 + start = self._cursor + while ( + self._cursor < len(self.query_string) + and self.query_string[self._cursor] != '"' + ): + self._cursor += 1 + + value = self.query_string[start : self._cursor] + + # Add 1 to skip the closing quote and return the value + self._cursor += 1 + return {"value": value} + elif ( + self.query_string[self._cursor].isdigit() + or self.query_string[self._cursor] == "-" + ): + value = self._get_number() + if ( + self._cursor < len(self.query_string) + and self.query_string[self._cursor] == "." + ): + self._cursor += 1 + value += "." + self._get_number() + + return {"value": value} + else: + raise ValueError( + f'Invalid value {self.query_string[start:self._cursor]}, expected an string in double quotes("value") or a number' + ) + + def _parse(self) -> Optional[str]: + if len(self.query_string) == 0: + return None + + # Parse fields + parsed_field = self._parse_field() + + # Parse operators + parsed_operator = self._parse_operator(parsed_field["field"]) + + # Parse values + parsed_value = self._parse_value() + + # Check for any trailing characters + self._skip_whitespace() + if self._cursor < len(self.query_string): + raise ValueError( + f"Invalid filter string, trailing characters {self.query_string[self._cursor:]}" + ) + + return json.dumps([{**parsed_field, **parsed_operator, **parsed_value}]) diff --git a/sdks/python/tests/e2e/test_tracing.py b/sdks/python/tests/e2e/test_tracing.py index 17de09b32..a2e9687cd 100644 --- a/sdks/python/tests/e2e/test_tracing.py +++ b/sdks/python/tests/e2e/test_tracing.py @@ -1,4 +1,5 @@ import pytest +import uuid import opik from opik import opik_context @@ -214,3 +215,47 @@ def test_manually_created_trace_and_span__happyflow( metadata={"span-metadata-key": "span-metadata-value"}, project_name=project_name or OPIK_E2E_TESTS_PROJECT_NAME, ) + + +def test_search_traces__happyflow(opik_client): + # In order to define a unique search query, we will create a unique identifier that will be part of the input of the trace + unique_identifier = str(uuid.uuid4())[-6:] + + filter_string = f'input contains "{unique_identifier}"' + + # Send a trace that has this input + trace = opik_client.trace( + name="trace-name", + input={"input": f"Some random input - {unique_identifier}"}, + output={"output": "trace-output"}, + project_name=OPIK_E2E_TESTS_PROJECT_NAME, + ) + + # Send traces that don't match + non_matching_trace_ids = [] + for input_value in range(2): + trace = opik_client.trace( + name="trace-name", + input={"input": "some-random-input"}, + output={"output": "trace-output"}, + project_name=OPIK_E2E_TESTS_PROJECT_NAME, + ) + non_matching_trace_ids.append(trace.id) + opik_client.flush() + + # Search for the traces - Note that we use a large max_results to ensure that we get all traces, if the project has more than 100000 matching traces it is possible + traces = opik_client.search_traces( + project_name=OPIK_E2E_TESTS_PROJECT_NAME, filter_string=filter_string + ) + + # Verify that the matching trace is returned + assert len(traces) == 1, "Expected to find 1 matching trace" + + verifiers.verify_trace( + opik_client=opik_client, + trace_id=traces[0].id, + name="trace-name", + input={"input": f"Some random input - {unique_identifier}"}, + output={"output": "trace-output"}, + project_name=OPIK_E2E_TESTS_PROJECT_NAME, + ) diff --git a/sdks/python/tests/unit/api_objects/test_opik_query_language.py b/sdks/python/tests/unit/api_objects/test_opik_query_language.py new file mode 100644 index 000000000..e3f4e1121 --- /dev/null +++ b/sdks/python/tests/unit/api_objects/test_opik_query_language.py @@ -0,0 +1,59 @@ +import pytest +import json +from opik.api_objects.opik_query_language import OpikQueryLanguage + + +@pytest.mark.parametrize( + "filter_string, expected", + [ + ('name = "test"', {"field": "name", "operator": "=", "value": "test"}), + ( + "usage.total_tokens > 100", + {"field": "usage.total_tokens", "operator": ">", "value": "100"}, + ), + ( + 'tags contains "important"', + {"field": "tags", "operator": "contains", "value": "important"}, + ), + ( + 'output not_contains "error"', + {"field": "output", "operator": "not_contains", "value": "error"}, + ), + ( + "feedback_scores >= 4.5", + {"field": "feedback_scores", "operator": ">=", "value": "4.5"}, + ), + ], +) +def test_valid_oql_expressions(filter_string, expected): + oql = OpikQueryLanguage(filter_string) + parsed = json.loads(oql.parsed_filters) + assert len(parsed) == 1 + parsed_result = parsed[0] + + for key, value in expected.items(): + assert parsed_result[key] == value + + +@pytest.mark.parametrize( + "filter_string, error_pattern", + [ + ('name > "test"', r"Operator > is not supported for field name.*"), + ('invalid_field.key = "value"', r"Field invalid_field\.key is not supported.*"), + ("name = test", r"Invalid value.*"), + ( + "usage.invalid_metric = 100", + r"When querying usage, invalid_metric is not supported.*", + ), + ('name = "test" extra_stuff', r"Invalid filter string, trailing characters.*"), + ], +) +def test_invalid_oql_expressions(filter_string, error_pattern): + with pytest.raises(ValueError, match=error_pattern): + OpikQueryLanguage(filter_string) + + +@pytest.mark.parametrize("filter_string", [None, ""]) +def test_empty_filter(filter_string): + oql = OpikQueryLanguage(filter_string) + assert oql.parsed_filters is None

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