WIP: I HATE PYTHON
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112
tests/test_live_gui_integration_v2.py
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112
tests/test_live_gui_integration_v2.py
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from src import ai_client
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from src import api_hook_client
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from src import events
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from src import gui_2
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import pytest
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from unittest.mock import patch, ANY
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import time
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from src import ai_client
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from src import api_hook_client
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from src import events
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from src import gui_2
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@pytest.mark.timeout(10)
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def test_user_request_integration_flow(mock_app: gui_2.App) -> None:
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"""
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Verifies that pushing a events.UserRequestEvent to the event_queue:
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1. Triggers ai_client.send
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2. Results in a 'response' event back to the queue
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3. Eventually updates the UI state (ai_response, ai_status) after processing GUI tasks.
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"""
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app = mock_app
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# Mock all ai_client methods called during _handle_request_event
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mock_response = "This is a test AI response"
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with (
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patch('src.ai_client.send', return_value=mock_response) as mock_send,
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patch('src.ai_client.set_custom_system_prompt'),
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patch('src.ai_client.set_model_params'),
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patch('src.ai_client.set_agent_tools')
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):
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# 1. Create and push a events.UserRequestEvent
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event = events.UserRequestEvent(
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prompt="Hello AI",
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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="."
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)
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# 2. Call the handler directly since start_services is mocked (no event loop thread)
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app.controller._handle_request_event(event)
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# 3. Verify ai_client.send was called
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assert mock_send.called, "src.ai_client.send was not called"
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mock_send.assert_called_once_with(
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"Context", "Hello AI", ".", [], "History",
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pre_tool_callback=ANY,
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qa_callback=ANY,
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stream=ANY,
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stream_callback=ANY
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)
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# 4. Wait for the response to propagate to _pending_gui_tasks and update UI
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# We call _process_pending_gui_tasks manually to simulate a GUI frame update.
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start_time = time.time()
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success = False
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while time.time() - start_time < 3:
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app._process_pending_gui_tasks()
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if app.ai_response == mock_response and app.ai_status == "done":
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success = True
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break
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time.sleep(0.1)
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assert success, f"UI state was not updated. ai_response: '{app.ai_response}', status: '{app.ai_status}'"
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assert app.ai_response == mock_response
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assert app.ai_status == "done"
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@pytest.mark.timeout(10)
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def test_user_request_error_handling(mock_app: gui_2.App) -> None:
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"""
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Verifies that if ai_client.send raises an exception, the UI is updated with the error state.
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"""
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app = mock_app
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with (
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patch('src.ai_client.send', side_effect=Exception("API Failure")),
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patch('src.ai_client.set_custom_system_prompt'),
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patch('src.ai_client.set_model_params'),
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patch('src.ai_client.set_agent_tools')
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):
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event = events.UserRequestEvent(
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prompt="Trigger Error",
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stable_md="",
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file_items=[],
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disc_text="",
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base_dir="."
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)
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app.controller._handle_request_event(event)
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# Poll for error state by processing GUI tasks
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start_time = time.time()
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success = False
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while time.time() - start_time < 5:
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app._process_pending_gui_tasks()
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if app.ai_status == "error" and "ERROR: API Failure" in app.ai_response:
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success = True
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break
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time.sleep(0.1)
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assert success, f"Error state was not reflected in UI. status: {app.ai_status}, response: {app.ai_response}"
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def test_api_gui_state_live(live_gui) -> None:
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client = api_hook_client.ApiHookClient()
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client.set_value('current_provider', 'anthropic')
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client.set_value('current_model', 'claude-3-haiku-20240307')
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start_time = time.time()
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success = False
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while time.time() - start_time < 10:
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state = client.get_gui_state()
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if state and state.get('current_provider') == 'anthropic' and state.get('current_model') == 'claude-3-haiku-20240307':
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success = True
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break
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time.sleep(0.5)
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assert success, f"GUI state did not update. Got: {client.get_gui_state()}"
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final_state = client.get_gui_state()
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assert final_state['current_provider'] == 'anthropic'
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assert final_state['current_model'] == 'claude-3-haiku-20240307'
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