mindesbunister
302511293c
feat: Add production logging gating (Phase 1, Task 1.1)
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- Created logger utility with environment-based gating (lib/utils/logger.ts)
- Replaced 517 console.log statements with logger.log (71% reduction)
- Fixed import paths in 15 files (resolved comment-trapped imports)
- Added DEBUG_LOGS=false to .env
- Achieves 71% immediate log reduction (517/731 statements)
- Expected 90% reduction in production when deployed
Impact: Reduced I/O blocking, lower log volume in production
Risk: LOW (easy rollback, non-invasive)
Phase: Phase 1, Task 1.1 (Quick Wins - Console.log Production Gating)
Files changed:
- NEW: lib/utils/logger.ts (production-safe logging)
- NEW: scripts/replace-console-logs.js (automation tool)
- Modified: 15 lib/*.ts files (console.log → logger.log)
- Modified: .env (DEBUG_LOGS=false)
Next: Task 1.2 (Image Size Optimization)
2025-12-05 00:32:41 +01:00
mindesbunister
09825782bb
feat: Bypass quality scoring for manual Telegram trades
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User requirement: Manual long/short commands via Telegram shall execute
immediately without quality checks.
Changes:
- Execute endpoint now checks for timeframe='manual' flag
- Added isManualTrade bypass alongside isValidatedEntry bypass
- Manual trades skip quality threshold validation completely
- Logs show 'MANUAL TRADE BYPASS' for transparency
Impact: Telegram commands (long sol, short eth) now execute instantly
without being blocked by low quality scores.
Commit: Dec 4, 2025
2025-12-04 19:56:17 +01:00
mindesbunister
4c36fa2bc3
docs: Major documentation reorganization + ENV variable reference
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**Documentation Structure:**
- Created docs/ subdirectory organization (analysis/, architecture/, bugs/,
cluster/, deployments/, roadmaps/, setup/, archived/)
- Moved 68 root markdown files to appropriate categories
- Root directory now clean (only README.md remains)
- Total: 83 markdown files now organized by purpose
**New Content:**
- Added comprehensive Environment Variable Reference to copilot-instructions.md
- 100+ ENV variables documented with types, defaults, purpose, notes
- Organized by category: Required (Drift/RPC/Pyth), Trading Config (quality/
leverage/sizing), ATR System, Runner System, Risk Limits, Notifications, etc.
- Includes usage examples (correct vs wrong patterns)
**File Distribution:**
- docs/analysis/ - Performance analyses, blocked signals, profit projections
- docs/architecture/ - Adaptive leverage, ATR trailing, indicator tracking
- docs/bugs/ - CRITICAL_*.md, FIXES_*.md bug reports (7 files)
- docs/cluster/ - EPYC setup, distributed computing docs (3 files)
- docs/deployments/ - *_COMPLETE.md, DEPLOYMENT_*.md status (12 files)
- docs/roadmaps/ - All *ROADMAP*.md strategic planning files (7 files)
- docs/setup/ - TradingView guides, signal quality, n8n setup (8 files)
- docs/archived/2025_pre_nov/ - Obsolete verification checklist (1 file)
**Key Improvements:**
- ENV variable reference: Single source of truth for all configuration
- Common Pitfalls #68-71: Already complete, verified during audit
- Better findability: Category-based navigation vs 68 files in root
- Preserves history: All files git mv (rename), not copy/delete
- Zero broken functionality: Only documentation moved, no code changes
**Verification:**
- 83 markdown files now in docs/ subdirectories
- Root directory cleaned: 68 files → 0 files (except README.md)
- Git history preserved for all moved files
- Container running: trading-bot-v4 (no restart needed)
**Next Steps:**
- Create README.md files in each docs subdirectory
- Add navigation index
- Update main README.md with new structure
- Consolidate duplicate deployment docs
- Archive truly obsolete files (old SQL backups)
See: docs/analysis/CLEANUP_PLAN.md for complete reorganization strategy
2025-12-04 08:29:59 +01:00
mindesbunister
711ff9aaf4
Add signal quality version comparison to analytics dashboard
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- Created /api/analytics/version-comparison endpoint
- Shows performance metrics for v1, v2, v3 scoring logic
- Compares: trade count, win rate, P&L, quality scores, MFE/MAE
- Special focus on extreme positions (< 15% or > 85% range)
- Tracks weak ADX count (< 18) for each version
- Visual indicators for current version (v3)
- Data collection progress notice for v3 (need 20+ trades)
- Legend explaining MFE, MAE, extreme positions, weak ADX
Enables data-driven optimization by comparing algorithm performance
with clean, version-tagged datasets.
2025-11-07 13:05:48 +01:00
