Enhance asset-liability #7
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…ta validation. Added try-except for missing market data and improved column checks in the asset-liab matrix display. This ensures robustness against KeyErrors and provides user feedback when data is unavailable.
…page. Added try-except blocks for API calls, checks for valid response format, and warnings for empty data. Enhanced slot information retrieval with error handling.
goldhaxx
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… the presence of 'is_high_leverage' column. Added user feedback for unavailable data, improving robustness and user experience.
- Added volume mapping for logs in docker-compose.yml to persist log data. - Updated Dockerfile to create and set permissions for the /logs directory. - Replaced print statements with logging in asset_liability.py and matrix.py for better traceability and debugging. - Introduced timing metrics in asset_liability.py to monitor loading times and improve user feedback during data fetching and processing.
…anagement - Changed logging configuration in gunicorn_config.py to direct logs to /logs/access.log and /logs/error.log, and set log level to debug for improved debugging. - Added matrix_response.json and logs/* to .gitignore to prevent unnecessary files from being tracked. - Updated Streamlit config to suppress callback and resource warnings, enhancing user experience.
- Introduced a new attribute `last_oracle_slot` initialized to 0 in the BackendState class within state.py. This addition enhances the state management capabilities of the backend, potentially improving tracking of oracle data.
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Enhance asset-liability.py summary generation with error handling and data validation. Added try-except for missing market data and improved column checks in the asset-liab matrix display. This ensures robustness against KeyErrors and provides user feedback when data is unavailable.
Fix Asset Liability Matrix Page Data Handling
Problem
The asset liability matrix page was crashing when encountering markets with missing data (specifically markets 29-32: META, ME, PENGU, and BONK). The page would attempt to access and sort by columns that didn't exist in the DataFrame, resulting in KeyErrors.
Changes
Specific Changes:
Testing
The page now: