diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index fb98c55..0da389a 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -34,7 +34,7 @@ repos: - id: detect-secrets - repo: https://github.com/astral-sh/ruff-pre-commit - rev: v0.8.1 + rev: v0.8.3 hooks: - id: ruff - id: ruff-format diff --git a/tests/trustyai/drift/test_drift.py b/tests/trustyai/drift/test_drift.py index 7d6e2c9..d38e1a3 100644 --- a/tests/trustyai/drift/test_drift.py +++ b/tests/trustyai/drift/test_drift.py @@ -1,6 +1,6 @@ import pytest -from tests.trustyai.drift.utils import send_inference_requests_and_verify_trustyai_service +from tests.trustyai.drift.utils import send_inference_requests_and_verify_trustyai_service, verify_metric_request @pytest.mark.parametrize( @@ -17,6 +17,7 @@ class TestDriftMetrics: Verifies all the basic operations with a drift metric (meanshift) available in TrustyAI, using PVC storage. 1. Send data to the model (gaussian_credit_model) and verify that TrustyAI registers the observations. + 2. Send metric request (meanshift) and verify the response. """ def test_send_inference_request_and_verify_trustyai_service( @@ -36,3 +37,14 @@ def test_send_inference_request_and_verify_trustyai_service( ) # TODO: Add rest of operations in upcoming PRs (upload data directly to Trusty, send metric request, schedule period metric calculation, delete metric request). + + def test_drift_metric_meanshift( + self, admin_client, openshift_token, trustyai_service_with_pvc_storage, gaussian_credit_model + ): + verify_metric_request( + client=admin_client, + trustyai_service=trustyai_service_with_pvc_storage, + token=openshift_token, + metric_name="meanshift", + json_data={"modelId": gaussian_credit_model.name, "referenceTag": "TRAINING"}, + ) diff --git a/tests/trustyai/drift/utils.py b/tests/trustyai/drift/utils.py index 88a812c..ba2f94b 100644 --- a/tests/trustyai/drift/utils.py +++ b/tests/trustyai/drift/utils.py @@ -1,3 +1,4 @@ +import http import json import os from typing import Any, Dict, List, Optional @@ -21,6 +22,10 @@ TIMEOUT_30SEC: int = 30 +class MetricValidationError(Exception): + pass + + class TrustyAIServiceRequestHandler: """ Class to encapsulate the behaviors associated to the different TrustyAIService requests we make in the tests @@ -54,6 +59,14 @@ def _send_request( def get_model_metadata(self) -> Any: return self._send_request(endpoint="/info", method="GET") + def send_drift_request( + self, + metric_name: str, + json: Optional[Dict[str, Any]] = None, + ) -> Any: + LOGGER.info(f"Sending request for drift metric: {metric_name}") + return self._send_request(endpoint=f"/metrics/drift/{metric_name}", method="POST", json=json) + # TODO: Refactor code to be under utilities.inference_utils.Inference def send_inference_request( @@ -238,3 +251,51 @@ def _check_pods_ready_with_env() -> bool: for sample in samples: if sample: return + + +def verify_metric_request( + client: DynamicClient, trustyai_service: TrustyAIService, token: str, metric_name: str, json_data: Any +) -> None: + """ + Sends a metric request to a TrustyAIService and validates the response. + + Args: + client (DynamicClient): The client instance for interacting with the cluster. + trustyai_service (TrustyAIService): The TrustyAI service instance to interact with. + token (str): Authentication token for the service. + metric_name (str): Name of the metric to request. + json_data (Any): JSON payload for the metric request. + + Raise: + AssertionError if some of the response fields does not have the expected value. + """ + + response = TrustyAIServiceRequestHandler(token=token, service=trustyai_service, client=client).send_drift_request( + metric_name=metric_name, json=json_data + ) + LOGGER.info(msg=f"TrustyAI metric request response: {json.dumps(json.loads(response.text), indent=2)}") + response_data = json.loads(response.text) + + errors = [] + + if response.status_code != http.HTTPStatus.OK: + errors.append(f"Unexpected status code: {response.status_code}") + if response_data["timestamp"] == "": + errors.append("Timestamp is empty") + if response_data["type"] != "metric": + errors.append("Incorrect type") + if response_data["value"] == "": + errors.append("Value is empty") + if not isinstance(response_data["value"], float): + errors.append("Value must be a float") + if response_data["specificDefinition"] == "": + errors.append("Specific definition is empty") + if response_data["name"] != metric_name: + errors.append(f"Wrong name: {response_data['name']}, expected: {metric_name}") + if response_data["id"] == "": + errors.append("ID is empty") + if response_data["thresholds"] == "": + errors.append("Thresholds are empty") + + if errors: + raise MetricValidationError("\n".join(errors)) diff --git a/uv.lock b/uv.lock index 2d2ea38..0e53eb2 100644 --- a/uv.lock +++ b/uv.lock @@ -1,8 +1,9 @@ version = 1 requires-python = ">=3.9" resolution-markers = [ - "python_full_version < '3.11'", + "python_full_version == '3.10.*'", "python_full_version >= '3.11'", + "python_full_version < '3.10'", ] [[package]] @@ -115,11 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