- Added entries to .gitignore for node_modules and dist directories in the dashboard UI.
- Updated log file pattern in log_parser.py to match 'bot*.log' instead of 'bot_*.log'.
- Introduced package-lock.json for the dashboard UI to manage dependencies.
- Updated CLAUDE.md to reflect the status of code review improvements.
- Added new weekly report files in HTML and JSON formats for 2026-03-07.
- Updated binary parquet files for dogeusdt, trxusdt, and xrpusdt with new data.
Parse position monitor logs (5min interval) to update current_price,
unrealized_pnl and unrealized_pnl_pct in bot_status. Position cards
now display USDT amount and percentage, colored green/red. Falls back
to entry/current price calculation if monitor data unavailable.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
useCallback dependency on `symbols` state caused fetchAll to recreate
on every call (since it sets symbols), triggering useEffect to restart
the interval immediately. Use symbolsRef to break the cycle.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add [SYMBOL] prefix to all bot/user_data_stream log messages
- Rewrite log_parser.py with multi-symbol regex, per-symbol state tracking, symbol columns in DB schema
- Rewrite dashboard_api.py with /api/symbols endpoint, symbol query params on all endpoints, SQL injection fix
- Update App.jsx with symbol filter tabs, multi-position display, dynamic header
- Add tests for log parser (8 tests) and dashboard API (7 tests)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- POST /api/reset endpoint: clears all tables and restarts log parser
- UI: Reset DB button in footer with confirmation dialog
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Introduced a new trading dashboard consisting of a FastAPI backend (`dashboard-api`) for data retrieval and a React frontend (`dashboard-ui`) for visualization.
- Implemented a log parser to monitor and store bot logs in an SQLite database.
- Configured Docker setup for both API and UI, including necessary Dockerfiles and a docker-compose configuration.
- Added setup documentation for running the dashboard and accessing its features.
- Enhanced the Jenkins pipeline to build and push the new dashboard images.
