Add code validation, API docs fetching, and comprehensive test suite

[SL-Mar]

Summary

This PR adds code validation capabilities, enhances API documentation fetching with real HTTP requests, implements proper MCP server initialization with tool registration, and introduces a comprehensive test suite covering agents, autonomous learning, and configuration modules.

Key Changes

Core Features

• CodeValidator class: New validator in processor.py that uses AST parsing to validate Python code syntax with proper error handling and logging
• Enhanced API documentation: get_api_docs() now makes actual HTTP requests to QuantConnect documentation with topic-based routing and fallback handling
• MCP Server improvements:
  • Proper tool registration with JSON schemas for validate_code, backtest, get_api_docs, and deploy_live
  • Added get_tools(), is_running(), and stop() methods for server lifecycle management
  • Comprehensive initialization with tool definitions and logging

Testing

• test_agents.py (430 lines): Complete test coverage for agent framework including:

  • AgentResult dataclass tests
  • BaseAgent abstract class tests with code extraction and LLM integration
  • Concrete agent tests: AlphaAgent, UniverseAgent, RiskAgent, StrategyAgent
  • Error handling and async execution tests

• test_autonomous.py (367 lines): Database and learning system tests including:

  • CompilationError, PerformancePattern, GeneratedStrategy dataclass tests
  • LearningDatabase CRUD operations and query methods
  • Strategy categorization, performance statistics, and fix tracking
  • Context manager and default path handling

• test_config.py (261 lines): Configuration management tests including:

  • ModelConfig, UIConfig, ToolsConfig, MultiAgentConfig tests
  • Configuration serialization/deserialization (dict and TOML)
  • API key and QuantConnect credentials management
  • Environment variable integration

Implementation Details

• CodeValidator uses Python's ast.parse() for robust syntax validation with separate handling for SyntaxError and general exceptions
• API documentation includes a topic-to-endpoint mapping with intelligent fallback to generic algorithm reference
• MCP tool schemas follow standard JSON schema format with required/optional parameter definitions
• Tests use pytest with async support, mocking, and temporary file handling for isolation
• All new code includes proper logging, error handling, and type hints

Testing Coverage

• 1,058 lines of new test code across 3 test files
• Tests cover success paths, error conditions, edge cases, and integration scenarios
• Uses fixtures, mocking, and temporary directories for test isolation