mirror of
https://github.com/EvolutionAPI/adk-python.git
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1c23556225
Also, migrated existing test files to the new schema and deleted test session files as they are no longer needed. PiperOrigin-RevId: 759318735
72 lines
2.4 KiB
Python
72 lines
2.4 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Evaluate all agents in fixture folder if evaluation test files exist."""
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import os
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from google.adk.evaluation import AgentEvaluator
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import pytest
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def agent_eval_artifacts_in_fixture():
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"""Get all agents from fixture folder."""
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agent_eval_artifacts = []
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fixture_dir = os.path.join(os.path.dirname(__file__), 'fixture')
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for agent_name in os.listdir(fixture_dir):
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agent_dir = os.path.join(fixture_dir, agent_name)
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if not os.path.isdir(agent_dir):
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continue
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for filename in os.listdir(agent_dir):
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# Evaluation test files end with test.json
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if not filename.endswith('test.json'):
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continue
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agent_eval_artifacts.append((
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f'tests.integration.fixture.{agent_name}',
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f'tests/integration/fixture/{agent_name}/{filename}',
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))
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# This method gets invoked twice, sorting helps ensure that both the
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# invocations have the same view.
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agent_eval_artifacts = sorted(
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agent_eval_artifacts, key=lambda item: f'{item[0]}|{item[1]}'
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)
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return agent_eval_artifacts
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@pytest.mark.asyncio
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@pytest.mark.parametrize(
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'agent_name, evalfile',
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agent_eval_artifacts_in_fixture(),
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ids=[agent_name for agent_name, _ in agent_eval_artifacts_in_fixture()],
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)
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async def test_evaluate_agents_long_running_4_runs_per_eval_item(
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agent_name, evalfile
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):
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"""Test agents evaluation in fixture folder.
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After querying the fixture folder, we have 5 eval items. For each eval item
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we use 4 runs.
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A single eval item is a session that can have multiple queries in it.
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"""
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await AgentEvaluator.evaluate(
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agent_module=agent_name,
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eval_dataset_file_path_or_dir=evalfile,
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# Using a slightly higher value helps us manange the variances that may
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# happen in each eval.
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# This, of course, comes at a cost of incrased test run times.
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num_runs=4,
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)
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