- Create actual functions instead of pure Mock objects
- Functions have proper __name__ and __qualname__ attributes
- Wrapped in Mock for test assertions
- Fixes TypeError: Mock is not a module/class/method/function
- Apply Black formatting to all test files
- Fix Mock objects to include tool_calls attribute for len() checks
- Add proper __name__ attributes to mock toolkit methods for @tool decorator
- Create mock_toolkit_fix helper for consistent toolkit mocking
All tests should now pass with proper mocking setup.
- Added extended tests for market analyst functionality
- Created tests for signal processing module
- Added tests for propagation module
- Created tests for reflection module
- Added placeholder tests for dataflows utils
- Improved mock fixtures and test utilities
These tests focus on:
- Proper mock usage with __name__ attributes
- Error handling scenarios
- Multiple input variations
- State management
- Memory updates
- Tool call tracking
This should significantly improve test coverage towards the 60% target.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Changed import from tradingagents.dataflows.interface to tradingagents.dataflows.config
- Updated test patches to use correct import path
- Fixes CI test collection failure
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