# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#   http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
from __future__ import annotations

from unittest.mock import MagicMock

import pytest


@pytest.fixture(autouse=True)
def isolate_hook_lineage_collector(hook_lineage_collector):
    """
    Use a fresh hook lineage collector for each common.ai unit test.

    ObjectStoragePath IO records assets on the process-wide collector in compat environments.
    """
    return None


def make_mock_run_result(output):
    """Create a mock AgentRunResult compatible with log_run_summary.

    Returns a MagicMock with .output, .usage(), .response, and .all_messages()
    configured so that log_run_summary can read them without error.
    """
    mock_result = MagicMock()
    mock_result.output = output
    mock_result.usage.return_value = MagicMock(
        requests=1, tool_calls=0, input_tokens=0, output_tokens=0, total_tokens=0
    )
    mock_result.response = MagicMock(model_name="test-model")
    mock_result.all_messages.return_value = []
    return mock_result
