wip: gemini doing gui_2.py catchup track

tests/test_gui2_mcp.py

@@ -0,0 +1,78 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from gui_2 import App
+import ai_client
+from events import EventEmitter
+
+@pytest.fixture
+def app_instance():
+    if not hasattr(ai_client, 'events') or ai_client.events is None:
+        ai_client.events = EventEmitter()
+
+    with (
+        patch('gui_2.load_config', return_value={'ai': {}, 'projects': {}}),
+        patch('gui_2.save_config'),
+        patch('gui_2.project_manager'),
+        patch('gui_2.session_logger'),
+        patch('gui_2.immapp.run'),
+        patch.object(App, '_load_active_project'),
+        patch.object(App, '_fetch_models'),
+        patch.object(App, '_load_fonts'),
+        patch.object(App, '_post_init')
+    ):
+        yield App()
+
+def test_mcp_tool_call_is_dispatched(app_instance):
+    """
+    This test verifies that when the AI returns a tool call for an MCP function,
+    the ai_client correctly dispatches it to mcp_client.
+    This will fail until mcp_client is properly integrated.
+    """
+    # 1. Define the mock tool call from the AI
+    mock_fc = MagicMock()
+    mock_fc.name = "read_file"
+    mock_fc.args = {"file_path": "test.txt"}
+
+    # 2. Construct the mock AI response (Gemini format)
+    mock_response_with_tool = MagicMock()
+    mock_part = MagicMock()
+    mock_part.function_call = mock_fc
+    mock_candidate = MagicMock()
+    mock_candidate.content.parts = [mock_part]
+    mock_candidate.finish_reason.name = "TOOL_CALLING"
+    mock_response_with_tool.candidates = [mock_candidate]
+    
+    mock_usage_metadata = MagicMock()
+    mock_usage_metadata.prompt_token_count = 100
+    mock_usage_metadata.candidates_token_count = 10
+    mock_usage_metadata.cached_content_token_count = 0
+    mock_response_with_tool.usage_metadata = mock_usage_metadata
+
+    # 3. Create a mock for the final AI response after the tool call
+    mock_response_final = MagicMock()
+    mock_response_final.text = "Final answer"
+    mock_response_final.candidates = []
+    mock_response_final.usage_metadata = mock_usage_metadata
+
+    # 4. Patch the necessary components
+    with patch("ai_client._ensure_gemini_client"), \
+         patch("ai_client._gemini_client"), \
+         patch("ai_client._gemini_chat") as mock_chat, \
+         patch('mcp_client.dispatch', return_value="file content") as mock_dispatch:
+        
+        mock_chat.send_message.side_effect = [mock_response_with_tool, mock_response_final]
+        ai_client._gemini_chat = mock_chat
+        
+        ai_client.set_provider("gemini", "mock-model")
+        
+        # 5. Call the send function
+        ai_client.send(
+            md_content="some context",
+            user_message="read the file",
+            base_dir=".",
+            file_items=[],
+            discussion_history=""
+        )
+
+        # 6. Assert that the MCP dispatch function was called
+        mock_dispatch.assert_called_once_with("read_file", {"file_path": "test.txt"})