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173 lines
6.1 KiB
Python
173 lines
6.1 KiB
Python
from typing import Any, Dict
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from unittest import mock
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import pytest
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from opik import evaluation, exceptions, url_helpers
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from opik.api_objects import opik_client
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from opik.evaluation import metrics, rest_operations, test_case
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from opik.evaluation.engine import engine
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from opik.evaluation.metrics import score_result
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def _make_mock_experiment(
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id: str = "exp-id",
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name: str = "exp-name",
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dataset_name: str = "dataset-name",
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) -> mock.Mock:
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exp = mock.Mock()
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exp.id = id
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exp.name = name
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exp.dataset_name = dataset_name
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return exp
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def _make_mock_dataset(id: str = "dataset-id") -> mock.Mock:
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ds = mock.Mock()
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ds.id = id
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return ds
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def _make_test_case(
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trace_id: str = "trace-id-1",
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dataset_item_id: str = "item-id-1",
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task_output: Dict[str, Any] = None,
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dataset_item_content: Dict[str, Any] = None,
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) -> test_case.TestCase:
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return test_case.TestCase(
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trace_id=trace_id,
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dataset_item_id=dataset_item_id,
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task_output=task_output or {"output": "hello"},
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dataset_item_content=dataset_item_content
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or {"input": "hi", "reference": "hello"},
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)
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def test_evaluate_experiment__no_test_cases__raises_empty_experiment(fake_backend):
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mock_experiment = _make_mock_experiment()
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mock_dataset = _make_mock_dataset()
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with mock.patch.object(
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rest_operations,
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"get_experiment_with_unique_name",
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return_value=mock_experiment,
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):
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with mock.patch.object(
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opik_client.Opik, "get_dataset", return_value=mock_dataset
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):
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with mock.patch.object(
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rest_operations, "get_experiment_test_cases", return_value=[]
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):
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with pytest.raises(exceptions.EmptyExperiment):
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evaluation.evaluate_experiment(
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experiment_name="exp-name",
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scoring_metrics=[metrics.Equals()],
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)
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def test_evaluate_experiment__happyflow(fake_backend):
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mock_experiment = _make_mock_experiment()
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mock_dataset = _make_mock_dataset()
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test_cases = [
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_make_test_case(
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trace_id="trace-1",
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task_output={"output": "hello"},
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dataset_item_content={"input": "hi", "reference": "hello"},
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),
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_make_test_case(
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trace_id="trace-2",
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task_output={"output": "bye"},
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dataset_item_content={"input": "ciao", "reference": "bye"},
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),
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]
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mock_score_results = [
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score_result.ScoreResult(name="equals_metric", value=1.0),
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score_result.ScoreResult(name="equals_metric", value=1.0),
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]
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mock_test_results = [
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mock.Mock(score_results=mock_score_results) for _ in test_cases
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]
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with mock.patch.object(
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rest_operations,
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"get_experiment_with_unique_name",
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return_value=mock_experiment,
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):
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with mock.patch.object(
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opik_client.Opik, "get_dataset", return_value=mock_dataset
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):
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with mock.patch.object(
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rest_operations, "get_experiment_test_cases", return_value=test_cases
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):
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with mock.patch.object(
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rest_operations,
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"get_trace_project_name",
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return_value="test-project",
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):
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with mock.patch.object(
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url_helpers,
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"get_experiment_url_by_id",
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return_value="http://example.com/exp",
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):
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with mock.patch.object(
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engine.EvaluationEngine,
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"score_test_cases",
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return_value=mock_test_results,
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):
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result = evaluation.evaluate_experiment(
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experiment_name="exp-name",
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scoring_metrics=[metrics.Equals()],
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verbose=0,
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)
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assert result.experiment_id == "exp-id"
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assert result.experiment_name == "exp-name"
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assert result.dataset_id == "dataset-id"
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assert result.test_results == mock_test_results
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def test_evaluate_experiment__with_experiment_id__uses_get_by_id(fake_backend):
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mock_experiment = _make_mock_experiment(id="explicit-exp-id")
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mock_dataset = _make_mock_dataset()
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test_cases = [_make_test_case()]
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mock_get_by_id = mock.Mock(return_value=mock_experiment)
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mock_get_by_name = mock.Mock()
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with mock.patch.object(opik_client.Opik, "get_experiment_by_id", mock_get_by_id):
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with mock.patch.object(
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rest_operations, "get_experiment_with_unique_name", mock_get_by_name
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):
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with mock.patch.object(
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opik_client.Opik, "get_dataset", return_value=mock_dataset
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):
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with mock.patch.object(
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rest_operations,
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"get_experiment_test_cases",
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return_value=test_cases,
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):
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with mock.patch.object(
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rest_operations,
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"get_trace_project_name",
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return_value="test-project",
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):
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with mock.patch.object(
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url_helpers,
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"get_experiment_url_by_id",
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return_value="http://example.com/exp",
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):
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with mock.patch.object(
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engine.EvaluationEngine,
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"score_test_cases",
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return_value=[],
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):
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evaluation.evaluate_experiment(
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experiment_name="ignored-name",
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experiment_id="explicit-exp-id",
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scoring_metrics=[],
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verbose=0,
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)
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mock_get_by_id.assert_called_once_with(id="explicit-exp-id")
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mock_get_by_name.assert_not_called()
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