[uss_qualifier] NET0460 evaluate display provider's flight data details endpoint performance

monitoring/monitorlib/fetch/__init__.py

@@ -15,7 +15,7 @@
 
 from implicitdict import ImplicitDict, StringBasedDateTime
 from monitoring.monitorlib import infrastructure
-
+from monitoring.monitorlib.rid import RIDVersion
 
 TIMEOUTS = (5, 5)  # Timeouts of `connect` and `read` in seconds
 ATTEMPTS = (
@@ -212,6 +212,15 @@ class QueryType(str, Enum):
     )
     F3548v21USSMakeUssReport = "astm.f3548.v21.uss.makeUssReport"
 
+    @staticmethod
+    def flight_details(rid_version: RIDVersion):
+        if rid_version == RIDVersion.f3411_19:
+            return QueryType.F3411v19aFlightDetails
+        elif rid_version == RIDVersion.f3411_22a:
+            return QueryType.F3411v22aFlightDetails
+        else:
+            raise ValueError(f"Unsupported RID version: {rid_version}")
+
 
 class Query(ImplicitDict):
     request: RequestDescription

monitoring/monitorlib/rid.py

@@ -56,15 +56,6 @@ def openapi_put_isa_response_path(self) -> str:
         else:
             raise ValueError(f"Unsupported RID version '{self}'")
 
-    @property
-    def read_scope(self) -> str:
-        if self == RIDVersion.f3411_19:
-            return v19.constants.Scope.Read
-        elif self == RIDVersion.f3411_22a:
-            return v22a.constants.Scope.DisplayProvider
-        else:
-            raise ValueError("Unsupported RID version '{}'".format(self))
-
     @property
     def realtime_period(self) -> timedelta:
         if self == RIDVersion.f3411_19:
@@ -155,6 +146,24 @@ def dp_data_resp_percentile95_s(self) -> float:
         else:
             raise ValueError("Unsupported RID version '{}'".format(self))
 
+    @property
+    def dp_details_resp_percentile95_s(self) -> float:
+        if self == RIDVersion.f3411_19:
+            return v19.constants.NetDpDetailsResponse95thPercentileSeconds
+        elif self == RIDVersion.f3411_22a:
+            return v22a.constants.NetDpDetailsResponse95thPercentileSeconds
+        else:
+            raise ValueError("Unsupported RID version '{}'".format(self))
+
+    @property
+    def dp_details_resp_percentile99_s(self) -> float:
+        if self == RIDVersion.f3411_19:
+            return v19.constants.NetDpDetailsResponse99thPercentileSeconds
+        elif self == RIDVersion.f3411_22a:
+            return v22a.constants.NetDpDetailsResponse99thPercentileSeconds
+        else:
+            raise ValueError("Unsupported RID version '{}'".format(self))
+
     @property
     def dp_data_resp_percentile99_s(self) -> float:
         if self == RIDVersion.f3411_19:

monitoring/uss_qualifier/resources/netrid/observers.py

@@ -5,6 +5,7 @@
 from implicitdict import ImplicitDict
 
 from monitoring.monitorlib import fetch, infrastructure
+from monitoring.monitorlib.fetch import QueryType
 from monitoring.monitorlib.infrastructure import UTMClientSession
 from monitoring.monitorlib.rid import RIDVersion
 from monitoring.monitorlib.rid_automated_testing import observation_api
@@ -27,9 +28,6 @@ def __init__(
         self.participant_id = participant_id
         self.base_url = base_url
 
-        # TODO: Change observation API to use an InterUSS scope rather than re-using an ASTM scope
-        self.rid_version = RIDVersion.f3411_19
-
     def observe_system(
         self, rect: s2sphere.LatLngRect
     ) -> Tuple[Optional[observation_api.GetDisplayDataResponse], fetch.Query]:
@@ -40,7 +38,12 @@ def observe_system(
             rect.hi().lng().degrees,
         )
         query = fetch.query_and_describe(
-            self.session, "GET", url, scope=self.rid_version.read_scope
+            self.session,
+            "GET",
+            url,
+            # TODO replace with 'uas_standards.interuss.automated_testing.rid.v1.constants.Scope.Observe' once
+            #  the standard is updated with https://github.com/interuss/uas_standards/pull/11/files
+            scope="dss.read.identification_service_areas",
         )
         try:
             result = (
@@ -56,11 +59,19 @@ def observe_system(
         return result, query
 
     def observe_flight_details(
-        self, flight_id: str
+        self, flight_id: str, rid_version: RIDVersion
     ) -> Tuple[Optional[observation_api.GetDetailsResponse], fetch.Query]:
         query = fetch.query_and_describe(
-            self.session, "GET", f"/display_data/{flight_id}"
+            self.session,
+            "GET",
+            f"/display_data/{flight_id}",
+            # TODO replace with 'uas_standards.interuss.automated_testing.rid.v1.constants.Scope.Observe' once
+            #  the standard is updated with https://github.com/interuss/uas_standards/pull/11/files
+            scope="dss.read.identification_service_areas",
         )
+        # Record query metadata for later use in the aggregate checks
+        query.server_id = self.participant_id
+        query.query_type = QueryType.flight_details(rid_version)
         try:
             result = (
                 ImplicitDict.parse(

monitoring/uss_qualifier/scenarios/astm/netrid/common/aggregate_checks.py

@@ -92,6 +92,10 @@ def run(self):
         self._dp_display_data_times_step()
 
         self.end_test_step()
+        self.begin_test_step("Performance of /display_data/<flight_id> requests")
+        self._dp_display_data_details_times_step()
+        self.end_test_step()
+
         self.end_test_case()
 
         # SP performance
@@ -105,6 +109,60 @@ def run(self):
 
         self.end_test_scenario()
 
+    def _dp_display_data_details_times_step(self):
+        """
+        Check performance of /display_data/<flight_id> requests and confirm they conform to
+        NetDpDetailsResponse95thPercentile (2s) and NetDpDetailsResponse99thPercentile (6s)
+        """
+        for participant, all_queries in self._queries_by_participant.items():
+            relevant_queries: List[fetch.Query] = list()
+            for query in all_queries:
+
+                if (
+                    query.status_code == 200
+                    and query.has_field_with_value("query_type")
+                    and (
+                        query.query_type == QueryType.F3411v19aFlightDetails
+                        or query.query_type == QueryType.F3411v22aFlightDetails
+                    )
+                ):
+                    relevant_queries.append(query)
+
+            if len(relevant_queries) == 0:
+                # this may be a service provider
+                self.record_note(
+                    f"{participant}/display_data/<flight_id>",
+                    "skipped check: no relevant queries",
+                )
+                continue
+
+            # compute percentiles
+            durations = [query.response.elapsed_s for query in relevant_queries]
+            [p95, p99] = evaluation.compute_percentiles(durations, [95, 99])
+            with self.check(
+                "Performance of /display_data/<flight_id> requests", [participant]
+            ) as check:
+                if p95 > self._rid_version.dp_details_resp_percentile95_s:
+                    check.record_failed(
+                        summary=f"95th percentile of durations for DP display_data details queries is higher than threshold",
+                        severity=Severity.Medium,
+                        participants=[participant],
+                        details=f"threshold: {self._rid_version.dp_details_resp_percentile95_s}s, 95th percentile: {p95}s",
+                    )
+                if p99 > self._rid_version.dp_details_resp_percentile99_s:
+                    check.record_failed(
+                        summary=f"99th percentile of durations for DP display_data details queries is higher than threshold",
+                        severity=Severity.Medium,
+                        participants=[participant],
+                        details=f"threshold: {self._rid_version.dp_details_resp_percentile99_s}s, 99th percentile: {p99}s",
+                    )
+
+            self.record_note(
+                f"{participant}/display_data/<flight_id>",
+                f"{participant}/display_data/<flight_id> stats computed on {len(durations)} queries "
+                f"95th percentile: {p95}s, 99th percentile: {p99}s",
+            )
+
     def _sp_flights_area_times_step(self):
         for participant, all_queries in self._queries_by_participant.items():
             # identify successful flights queries

monitoring/uss_qualifier/scenarios/astm/netrid/display_data_evaluator.py

@@ -10,7 +10,7 @@
     RIDCommonDictionaryEvaluator,
 )
 
-from monitoring.monitorlib.fetch import Query
+from monitoring.monitorlib.fetch import Query, QueryType
 from monitoring.monitorlib.fetch.rid import (
     all_flights,
     FetchedFlights,
@@ -261,6 +261,16 @@ def evaluate_system_instantaneously(
                     query,
                     verified_sps,
                 )
+                # We also issue queries to the flight details endpoint in order to collect
+                # performance statistics, which are computed and checked at a later stage.
+                if query.status_code == 200:
+                    # If there are multiple flights, we only issue a single details query for the first returned one,
+                    #  as we don't want to slow down the test we are piggy-backing on.
+                    if len(observation.flights) > 0:
+                        (_, detailQuery) = observer.observe_flight_details(
+                            observation.flights[0].id, self._rid_version
+                        )
+                        self._test_scenario.record_query(detailQuery)
 
                 # TODO: If bounding rect is smaller than cluster threshold, expand slightly above cluster threshold and re-observe
                 # TODO: If bounding rect is smaller than area-too-large threshold, expand slightly above area-too-large threshold and re-observe
@@ -617,14 +627,14 @@ def _evaluate_clusters_observation(
                 check.record_failed(
                     summary="Error while evaluating clustered area view. Missing flight",
                     severity=Severity.Medium,
-                    details=f"{expected_count-clustered_flight_count} (~{uncertain_count}) missing flight(s)",
+                    details=f"{expected_count - clustered_flight_count} (~{uncertain_count}) missing flight(s)",
                 )
             elif clustered_flight_count > expected_count + uncertain_count:
                 # Unexpected flight
                 check.record_failed(
                     summary="Error while evaluating clustered area view. Unexpected flight",
                     severity=Severity.Medium,
-                    details=f"{clustered_flight_count-expected_count} (~{uncertain_count}) unexpected flight(s)",
+                    details=f"{clustered_flight_count - expected_count} (~{uncertain_count}) unexpected flight(s)",
                 )
             elif clustered_flight_count == expected_count:
                 # evaluate cluster obfuscation distance
@@ -674,7 +684,7 @@ def _evaluate_clusters_obfuscation_distance(
                 cluster_width, cluster_height = geo.flatten(
                     cluster_rect.lo(), cluster_rect.hi()
                 )
-                min_dim = 2 * observer.rid_version.min_obfuscation_distance_m
+                min_dim = 2 * self._rid_version.min_obfuscation_distance_m
                 if cluster_height < min_dim or cluster_width < min_dim:
                     # Cluster has a too small distance to the edge
                     check.record_failed(

monitoring/uss_qualifier/scenarios/astm/netrid/v19/aggregate_checks.md

@@ -17,6 +17,16 @@ The observers to evaluate in the report.
 
 ## Performance of Display Providers requests test case
 
+### Performance of /display_data/<flight_id> requests test step
+
+For this step, all successful display data queries made during the execution of the previous scenarios are used to compute an aggregate statistic.
+
+#### Performance of /display_data/<flight_id> requests check
+
+**[astm.f3411.v19.NET0460](../../../../requirements/astm/f3411/v19.md) Checks that the DP response times for the
+Display Application's flight details requests have a p95 and p99 that are respectively below
+`NetDpDetailsResponse95thPercentileSeconds` (2 seconds) and `NetDpDetailsResponse99thPercentileSeconds` (6 seconds).
+
 ### Performance of /display_data requests test step
 In this step, all successful display data queries made during the execution of the previous scenarios are aggregated per
 observer and per request (identified by their URLs). For each of those, and using the session length

monitoring/uss_qualifier/scenarios/astm/netrid/v22a/aggregate_checks.md

@@ -4,7 +4,6 @@
 In this special scenario, the report of previously executed ASTM F3411-22a NetRID scenario(s) are evaluated for the
 performances of the queries made during their execution.
 
-
 ## Resources
 
 ### report_resource
@@ -18,6 +17,16 @@ The observers to evaluate in the report.
 
 ## Performance of Display Providers requests test case
 
+### Performance of /display_data/<flight_id> requests test step
+
+For this step, all successful display data queries made during the execution of the previous scenarios are used to compute an aggregate statistic.
+
+#### Performance of /display_data/<flight_id> requests check
+
+**[astm.f3411.v22a.NET0460](../../../../requirements/astm/f3411/v22a.md) Checks that the DP response times for the
+Display Application's flight details requests have a p95 and p99 that are respectively below
+`NetDpDetailsResponse95thPercentileSeconds` (2 seconds) and `NetDpDetailsResponse99thPercentileSeconds` (6 seconds).
+
 ### Performance of /display_data requests test step
 In this step, all successful display data queries made during the execution of the previous scenarios are aggregated per
 observer and per request (identified by their URLs). For each of those, and using the session length