from unittest.mock import patch, MagicMock from src import ai_client import json import pytest def test_deepseek_model_selection() -> None: """ Verifies that ai_client.set_provider('deepseek', 'deepseek-chat') correctly updates the internal state. """ ai_client.set_provider("deepseek", "deepseek-chat") assert ai_client._provider == "deepseek" assert ai_client._model == "deepseek-chat" @patch("requests.post") def test_deepseek_completion_logic(mock_post: MagicMock) -> None: """ Verifies that ai_client.send() correctly calls the DeepSeek API and returns content. """ ai_client.set_provider("deepseek", "deepseek-chat") with patch("src.ai_client._load_credentials", return_value={"deepseek": {"api_key": "test-key"}}): mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = { "choices": [{"message": {"content": "Hello World"}, "finish_reason": "stop"}] } mock_post.return_value = mock_response result = ai_client.send(md_content="Context", user_message="Hi", base_dir=".") assert result == "Hello World" assert mock_post.called @patch("requests.post") def test_deepseek_reasoning_logic(mock_post: MagicMock) -> None: """ Verifies that reasoning_content is captured and wrapped in tags. """ ai_client.set_provider("deepseek", "deepseek-reasoner") with patch("src.ai_client._load_credentials", return_value={"deepseek": {"api_key": "test-key"}}): mock_response = MagicMock() mock_response.status_code = 200 mock_response.json.return_value = { "choices": [{ "message": {"content": "Final answer", "reasoning_content": "Chain of thought"}, "finish_reason": "stop" }] } mock_post.return_value = mock_response result = ai_client.send(md_content="Context", user_message="Hi", base_dir=".") assert "\nChain of thought\n" in result assert "Final answer" in result @patch("requests.post") def test_deepseek_tool_calling(mock_post: MagicMock) -> None: """ Verifies that DeepSeek provider correctly identifies and executes tool calls. """ ai_client.set_provider("deepseek", "deepseek-chat") with patch("src.ai_client._load_credentials", return_value={"deepseek": {"api_key": "test-key"}}), \ patch("src.mcp_client.dispatch") as mock_dispatch: # Round 1: Model calls a tool mock_resp1 = MagicMock() mock_resp1.status_code = 200 mock_resp1.json.return_value = { "choices": [{ "message": { "content": "I will read the file", "tool_calls": [{ "id": "call_1", "type": "function", "function": {"name": "read_file", "arguments": '{"path": "test.txt"}'} }] }, "finish_reason": "tool_calls" }] } # Round 2: Model provides final answer mock_resp2 = MagicMock() mock_resp2.status_code = 200 mock_resp2.json.return_value = { "choices": [{"message": {"content": "File content is: Hello World"}, "finish_reason": "stop"}] } mock_post.side_effect = [mock_resp1, mock_resp2] mock_dispatch.return_value = "Hello World" result = ai_client.send(md_content="Context", user_message="Read test.txt", base_dir=".") assert "File content is: Hello World" in result assert mock_dispatch.called mock_dispatch.assert_called_with("read_file", {"path": "test.txt"}) @patch("requests.post") def test_deepseek_streaming(mock_post: MagicMock) -> None: """ Verifies that DeepSeek provider correctly aggregates streaming chunks. """ ai_client.set_provider("deepseek", "deepseek-chat") with patch("src.ai_client._load_credentials", return_value={"deepseek": {"api_key": "test-key"}}): mock_response = MagicMock() mock_response.status_code = 200 # Mocking an iterable response for stream=True chunks = [ 'data: {"choices": [{"delta": {"content": "Hello "}}]}\n', 'data: {"choices": [{"delta": {"content": "World"}}]}\n', 'data: [DONE]\n' ] mock_response.iter_lines.return_value = [c.encode('utf-8') for c in chunks] mock_post.return_value = mock_response result = ai_client.send(md_content="Context", user_message="Stream test", base_dir=".", stream=True) assert result == "Hello World"