Major improvements to thinking capabilities and API integration: - Remove all output token limits for future-proof responses - Add 5-level thinking mode system: minimal, low, medium, high, max - Migrate from google-generativeai to google-genai library - Implement native thinkingBudget support for Gemini 2.5 Pro - Set medium thinking as default for all tools, max for think_deeper 🧠 Thinking Modes: - minimal (128 tokens) - simple tasks - low (2048 tokens) - basic reasoning - medium (8192 tokens) - default for most tools - high (16384 tokens) - complex analysis - max (32768 tokens) - default for think_deeper 🔧 Technical Changes: - Complete migration to google-genai>=1.19.0 - Remove google-generativeai dependency - Add ThinkingConfig with thinking_budget parameter - Update all tools to support thinking_mode parameter - Comprehensive test suite with 37 passing unit tests - CI-friendly testing (no API key required for unit tests) - Live integration tests for API verification 🧪 Testing & CI: - Add GitHub Actions workflow with multi-Python support - Unit tests use mocks, no API key required - Live integration tests optional with API key - Contributing guide with development setup - All tests pass without external dependencies 🐛 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
192 lines
6.1 KiB
Python
192 lines
6.1 KiB
Python
"""
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Tests for individual tool implementations
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"""
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from unittest.mock import Mock, patch
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import pytest
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from tools import AnalyzeTool, DebugIssueTool, ReviewCodeTool, ThinkDeeperTool
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class TestThinkDeeperTool:
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"""Test the think_deeper tool"""
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@pytest.fixture
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def tool(self):
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return ThinkDeeperTool()
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def test_tool_metadata(self, tool):
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"""Test tool metadata"""
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assert tool.get_name() == "think_deeper"
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assert "EXTENDED THINKING" in tool.get_description()
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assert tool.get_default_temperature() == 0.7
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schema = tool.get_input_schema()
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assert "current_analysis" in schema["properties"]
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assert schema["required"] == ["current_analysis"]
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_execute_success(self, mock_create_model, tool):
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"""Test successful execution"""
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# Mock model
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Extended analysis")]))]
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)
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mock_create_model.return_value = mock_model
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result = await tool.execute(
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{
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"current_analysis": "Initial analysis",
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"problem_context": "Building a cache",
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"focus_areas": ["performance", "scalability"],
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}
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)
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assert len(result) == 1
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assert "Extended Analysis by Gemini:" in result[0].text
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assert "Extended analysis" in result[0].text
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class TestReviewCodeTool:
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"""Test the review_code tool"""
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@pytest.fixture
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def tool(self):
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return ReviewCodeTool()
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def test_tool_metadata(self, tool):
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"""Test tool metadata"""
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assert tool.get_name() == "review_code"
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assert "PROFESSIONAL CODE REVIEW" in tool.get_description()
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assert tool.get_default_temperature() == 0.2
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schema = tool.get_input_schema()
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assert "files" in schema["properties"]
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assert schema["required"] == ["files"]
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_execute_with_review_type(self, mock_create_model, tool, tmp_path):
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"""Test execution with specific review type"""
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# Create test file
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test_file = tmp_path / "test.py"
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test_file.write_text("def insecure(): pass", encoding="utf-8")
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# Mock model
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Security issues found")]))]
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)
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mock_create_model.return_value = mock_model
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result = await tool.execute(
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{
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"files": [str(test_file)],
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"review_type": "security",
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"focus_on": "authentication",
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}
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)
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assert len(result) == 1
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assert "Code Review (SECURITY)" in result[0].text
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assert "Focus: authentication" in result[0].text
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assert "Security issues found" in result[0].text
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class TestDebugIssueTool:
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"""Test the debug_issue tool"""
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@pytest.fixture
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def tool(self):
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return DebugIssueTool()
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def test_tool_metadata(self, tool):
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"""Test tool metadata"""
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assert tool.get_name() == "debug_issue"
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assert "DEBUG & ROOT CAUSE ANALYSIS" in tool.get_description()
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assert tool.get_default_temperature() == 0.2
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schema = tool.get_input_schema()
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assert "error_description" in schema["properties"]
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assert schema["required"] == ["error_description"]
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_execute_with_context(self, mock_create_model, tool):
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"""Test execution with error context"""
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# Mock model
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mock_model = Mock()
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mock_model.generate_content.return_value = Mock(
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candidates=[Mock(content=Mock(parts=[Mock(text="Root cause: race condition")]))]
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)
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mock_create_model.return_value = mock_model
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result = await tool.execute(
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{
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"error_description": "Test fails intermittently",
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"error_context": "AssertionError in test_async",
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"previous_attempts": "Added sleep, still fails",
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}
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)
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assert len(result) == 1
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assert "Debug Analysis" in result[0].text
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assert "Root cause: race condition" in result[0].text
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class TestAnalyzeTool:
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"""Test the analyze tool"""
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@pytest.fixture
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def tool(self):
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return AnalyzeTool()
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def test_tool_metadata(self, tool):
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"""Test tool metadata"""
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assert tool.get_name() == "analyze"
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assert "ANALYZE FILES & CODE" in tool.get_description()
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assert tool.get_default_temperature() == 0.2
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schema = tool.get_input_schema()
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assert "files" in schema["properties"]
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assert "question" in schema["properties"]
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assert set(schema["required"]) == {"files", "question"}
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@pytest.mark.asyncio
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@patch("tools.base.BaseTool.create_model")
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async def test_execute_with_analysis_type(
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self, mock_model, tool, tmp_path
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):
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"""Test execution with specific analysis type"""
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# Create test file
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test_file = tmp_path / "module.py"
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test_file.write_text("class Service: pass", encoding="utf-8")
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# Mock response
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mock_response = Mock()
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mock_response.candidates = [Mock()]
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mock_response.candidates[0].content.parts = [
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Mock(text="Architecture analysis")
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]
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mock_instance = Mock()
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mock_instance.generate_content.return_value = mock_response
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mock_model.return_value = mock_instance
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result = await tool.execute(
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{
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"files": [str(test_file)],
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"question": "What's the structure?",
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"analysis_type": "architecture",
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"output_format": "summary",
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}
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)
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assert len(result) == 1
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assert "ARCHITECTURE Analysis" in result[0].text
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assert "Analyzed 1 file(s)" in result[0].text
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assert "Architecture analysis" in result[0].text
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