112 lines
4.0 KiB
Python
112 lines
4.0 KiB
Python
import os
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import shutil
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import tempfile
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from unittest.mock import MagicMock, patch
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import pytest
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from src.app_controller import AppController
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from src import ai_client
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from src import events
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from src import models
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@pytest.fixture
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def mock_project():
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# Use a temporary directory for the mock project
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temp_dir = tempfile.mkdtemp()
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try:
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# Create a minimal manual_slop.toml
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with open(os.path.join(temp_dir, "manual_slop.toml"), "w") as f:
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f.write('discussion_history = []\n')
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yield temp_dir
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finally:
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# Clean up after test
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shutil.rmtree(temp_dir)
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def test_rag_integration(mock_project):
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"""
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Integration test verifying the flow from AppController through RAGEngine to ai_client.
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"""
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# 1. Initializes a mock project and AppController.
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# We patch several components to avoid side effects during initialization.
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with patch('src.app_controller.AppController._fetch_models'), \
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patch('src.models.load_config', return_value={}), \
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patch('src.paths.get_full_path_info', return_value={'logs_dir': {'path': mock_project}, 'scripts_dir': {'path': mock_project}}), \
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patch('src.theme.load_from_config'):
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app = AppController()
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# Minimal state setup for _handle_request_event
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app.ui_global_system_prompt = ""
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app.ui_project_system_prompt = ""
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app.ui_base_system_prompt = ""
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app.ui_use_default_base_prompt = True
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app.ui_project_context_marker = ""
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app.temperature = 0.0
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app.max_tokens = 100
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app.history_trunc_limit = 1000
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app.top_p = 1.0
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app.ui_agent_tools = {}
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app.ui_gemini_cli_path = "gemini"
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app.current_model = "gemini-1.5-flash"
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app.active_project_path = os.path.join(mock_project, "manual_slop.toml")
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# Ensure the provider is set to 'gemini' for our test
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ai_client.set_provider("gemini", "gemini-1.5-flash")
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# 2. Configures a mock RAG setup (enabled=True, provider='mock').
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rag_config = models.RAGConfig(
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enabled=True,
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vector_store=models.VectorStoreConfig(provider='mock')
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)
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app.rag_config = rag_config
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# 3. Mocks rag_engine.search to return a known chunk.
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mock_rag_engine = MagicMock()
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mock_rag_engine.config = rag_config
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mock_rag_engine.search.return_value = [
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{"document": "This is a retrieved chunk from RAG.", "metadata": {"path": "test_file.py"}}
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]
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app.rag_engine = mock_rag_engine
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# 4. Mocks ai_client.send to verify that the retrieved chunk appears in the
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# message sent to the provider. We use 'wraps' to let the real logic run
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# while still having a mock we can inspect. We also mock the internal
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# _send_gemini which is what actually "sends to the provider".
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with patch('src.ai_client.send', wraps=ai_client.send) as mock_send:
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with patch('src.ai_client._send_gemini') as mock_provider:
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mock_provider.return_value = "Mock AI Response"
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# Create a UserRequestEvent as if the user clicked "Gen + Send"
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event = events.UserRequestEvent(
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prompt="Tell me about the code.",
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stable_md="Context",
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file_items=[],
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disc_text="History",
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base_dir=mock_project
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)
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# Trigger the request event processing logic in AppController
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app._handle_request_event(event)
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# 5. This verifies the wiring from AppController through RAGEngine to ai_client.
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# Verify that ai_client.send was called by AppController
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assert mock_send.called
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_, kwargs = mock_send.call_args
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assert kwargs['rag_engine'] == mock_rag_engine
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# Verify that the internal provider call was made
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assert mock_provider.called
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# Extract the user_message passed to the provider call
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args, _ = mock_provider.call_args
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# _send_gemini(md_content, user_message, ...) -> user_message is index 1
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sent_user_message = args[1]
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# Verify that the RAG chunk was prepended to the original prompt
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assert "This is a retrieved chunk from RAG." in sent_user_message
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assert "Tell me about the code." in sent_user_message
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assert "## Retrieved Context" in sent_user_message
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assert "Source: test_file.py" in sent_user_message
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# Verify that rag_engine.search was called with the original prompt
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mock_rag_engine.search.assert_called_once_with("Tell me about the code.")
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