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71 lines
2.9 KiB
Python
71 lines
2.9 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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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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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from unittest.mock import MagicMock, patch
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import pytest
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from app.agent.factory import multi_modal_agent
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from app.model.chat import Chat
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pytestmark = pytest.mark.unit
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def test_multi_modal_agent_creation(sample_chat_data):
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"""Test multi_modal_agent creates agent with multimedia tools."""
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options = Chat(**sample_chat_data)
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# Setup task lock in the registry before calling agent function
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from app.service.task import task_locks
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mock_task_lock = MagicMock()
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task_locks[options.task_id] = mock_task_lock
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_mod = "app.agent.factory.multi_modal"
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with (
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patch(f"{_mod}.agent_model") as mock_agent_model,
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patch("asyncio.create_task"),
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patch(f"{_mod}.HumanToolkit") as mock_human_toolkit,
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patch(f"{_mod}.VideoDownloaderToolkit") as mock_video_toolkit,
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patch(f"{_mod}.ImageAnalysisToolkit") as mock_image_toolkit,
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patch(f"{_mod}.OpenAIImageToolkit") as mock_openai_image_toolkit,
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patch(f"{_mod}.AudioAnalysisToolkit") as mock_audio_toolkit,
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patch(f"{_mod}.TerminalToolkit") as mock_terminal_toolkit,
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patch(f"{_mod}.NoteTakingToolkit") as mock_note_toolkit,
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patch(f"{_mod}.SearchToolkit") as mock_search_toolkit,
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patch(f"{_mod}.ToolkitMessageIntegration"),
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):
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# Mock all toolkit instances
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mock_human_toolkit.get_can_use_tools.return_value = []
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mock_video_toolkit.return_value.get_tools.return_value = []
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mock_image_toolkit.return_value.get_tools.return_value = []
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mock_openai_image_toolkit.return_value.get_tools.return_value = []
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mock_audio_toolkit.return_value.get_tools.return_value = []
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mock_terminal_toolkit.return_value.get_tools.return_value = []
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mock_note_toolkit.return_value.get_tools.return_value = []
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mock_search_toolkit.return_value.get_tools.return_value = []
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mock_agent = MagicMock()
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mock_agent_model.return_value = mock_agent
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result = multi_modal_agent(options)
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assert result is mock_agent
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mock_agent_model.assert_called_once()
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# Check that it was called with multi-modal agent configuration
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call_args = mock_agent_model.call_args
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assert "multi_modal_agent" in str(
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call_args[0][0]
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) # agent_name (enum contains this value)
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