- Add pagination controls to Trades tab (prev/next, offset support)
- Reset page on symbol change
- Use package-lock.json + npm ci for reproducible UI builds
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
C1: /api/reset에 API key 인증 추가 (DASHBOARD_RESET_KEY 환경변수)
C2: /proc 스캐닝 제거, PID file + SIGHUP 기반 파서 재파싱으로 교체
C3: daily_pnl 업데이트를 trades 테이블에서 재계산하여 idempotent하게 변경
I1: CORS origins를 CORS_ORIGINS 환경변수로 설정 가능하게 변경
I2: offset 파라미터에 ge=0 검증 추가
I3: 매 줄 commit → 파일 단위 배치 commit으로 성능 개선
I4: _pending_candles 크기 제한으로 메모리 누적 방지
I5: bot.log glob 중복 파싱 제거 (sorted(set(...)))
I6: /api/health 에러 메시지에서 내부 경로 미노출
I7: RSI 차트(데이터 없음)를 OI 변화율 차트로 교체
M1: pnlColor 변수 shadowing 수정 (posPnlColor)
M2: 거래 목록에 API total 필드 사용
M3: dashboard/ui/.dockerignore 추가
M4: API Dockerfile Python 3.11→3.12
M5: 테스트 fixture에서 temp DB cleanup 추가
M6: 누락 테스트 9건 추가 (health, daily, reset 인증, offset, pagination)
M7: 파서 SIGTERM graceful shutdown + entrypoint.sh signal forwarding
DB: 양쪽 busy_timeout=5000 + WAL pragma 설정
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
_handle_close was not clearing _current_positions when no matching OPEN
trade was found in DB, causing all subsequent entries for the same
symbol+direction to be silently skipped. Also add PYTHONUNBUFFERED=1
and python -u to make log parser crashes visible in docker logs.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Nginx caches DNS at startup, so when dashboard-api restarts and gets
a new container IP, the proxy breaks with 502. Use Docker's embedded
DNS resolver (127.0.0.11) with a variable-based proxy_pass to
re-resolve on every request.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add UNIQUE(symbol, entry_time, direction) constraint to trades table
and use INSERT OR IGNORE to skip duplicates. Includes auto-migration
to clean up existing duplicate entries on startup.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- 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.
Changed _init_db() from DROP+CREATE to CREATE IF NOT EXISTS so that
trade history, candle data, and daily PnL survive container restarts.
Previously all tables were dropped on every parser start, losing
historical data if log files had been rotated.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The /api/symbols endpoint only returned symbols that had a :last_start
key, which requires the log parser to catch the bot start log. If the
dashboard was deployed after the bot started, the start log was already
past the file position and symbols showed as 0. Now extracts symbols
from any colon-prefixed key in bot_status.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- Include RSI, MACD_H, ATR in bot entry log so the log parser can
extract and store them in the trades DB for dashboard display
- Update log parser regex and _handle_entry() to persist indicator values
- Add dashboard section to README (tech stack, screens, API endpoints)
- Add dashboard/ directory to project structure in README
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
The previous /proc-based process kill attempted to read cmdline from
non-PID entries like /proc/fb, causing NotADirectoryError in Docker.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Replaced subprocess-based termination of the log parser with a Python-native approach using os and signal modules.
- Enhanced process handling to ensure proper termination of existing log parser instances before restarting.
This change improves reliability and compatibility across different environments.
- 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>
- Log parser: fix entry dedup to check direction instead of price tolerance,
preventing duplicate OPEN trades for the same position
- Log parser: close all OPEN trades on position close, delete stale duplicates
- Jenkinsfile: detect changed files and only build/deploy affected services,
allowing dashboard-only changes without restarting the bot
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.
