2 Commits

Author SHA1 Message Date
Trilltechnician 04bd80b25b GPS Auto-Extraction + First Successful Upload Complete
Major milestone: GPS coordinates now auto-extract from filenames and
uploads appear on map with full end-to-end workflow functional!

 GPS Auto-Extraction Features:
- JavaScript GPS extractor class matching Python patterns
- Supports 3 filename formats:
  * N/S/E/W: 34.0478N_118.2349W_filename.sub
  * lat/lon prefix: lat34.0478lon-118.2348_filename.sub
  * Signed decimal: -34.0478_118.2348_filename.sub
- Auto-populates latitude/longitude form fields on file drop
- Green notification toast shows detected coordinates
- File list shows GPS badge for files with coordinates

🗺️ Web Interface Improvements:
- Upload endpoint now stores captures in-memory
- Query endpoint returns uploaded captures for map display
- Stats endpoint shows real-time upload counts
- Map displays uploaded captures as markers
- Color-coded by frequency band

📁 Updated Files:
- static/js/upload.js: GPS extraction + auto-population
- src/api/main_simple.py: In-memory storage + endpoints
- src/parser/gps_extractor.py: Backend GPS extraction (Python)
- scripts/test_gps_extraction.py: Python test suite
- test_gps_extraction.html: Browser test suite

📊 T-Embed Files Updated:
- 34.0478N_118.2348W_1637_raw_8.sub: 315 MHz Princeton
- 34.0478N_118.2349W_1351_raw_10.sub: 433.92 MHz Princeton
- 34.0478N_118.2349W_1650_test_raw.sub: 433.92 MHz RAW
- All now have proper Flipper SubGhz headers

 Tested Features:
- GPS extraction from filename: 34.0478N_118.2349W → 34.0478, -118.2349
- Auto-population of GPS fields in upload form
- File upload with GPS validation
- Capture appears on map after upload
- Statistics update in real-time
- Frequency distribution calculated correctly

🎯 End-to-End Flow Working:
1. User drops .sub file with GPS in filename
2. GPS auto-detected and form fields populate
3. User clicks Upload
4. Server parses RF data + GPS coordinates
5. Capture stored in memory
6. Map refreshes and displays new marker
7. Stats update with new counts

🚀 Demo: http://localhost:8000
Upload 34.0478N_118.2349W_1351_raw_10.sub and watch it appear on map!

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-13 18:37:13 -08:00
Trilltechnician 48fcb00241 Phase 3 Complete: Web Interface MVP
Major Achievements:
-  Full web interface (1,520+ lines of frontend code)
-  Interactive Leaflet.js map with marker clustering
-  Drag-and-drop upload system with GPS input
-  Search & filter UI with multi-criteria
-  Statistics dashboard with Chart.js
-  Responsive mobile-friendly design

Backend:
-  FastAPI static file serving
-  Simplified server mode (main_simple.py)
-  Improved startup script with port auto-selection
-  PostgreSQL schema ready (requires setup)

Database:
-  SQLite populated with 85 Flipper Zero signatures
-  Device matching system operational
-  Frequency-based search working

Documentation:
-  PHASE_3_COMPLETE.md - Technical summary
-  WEB_INTERFACE_README.md - User guide
-  WEBAPP_STARTUP_GUIDE.md - Troubleshooting
-  POSTGRESQL_SETUP_EXPLANATION.md - DB setup guide
-  DATABASE_POPULATION_SUCCESS.md - Import report
-  DEVICE_IDENTIFICATION_REPORT.md - Matching analysis

Files Created:
- templates/index.html (260 lines)
- static/css/main.css (500 lines)
- static/js/*.js (760 lines total)
- src/api/main_simple.py (simplified server)
- start_web.sh (auto port selection)

Status: Production MVP Ready
Next: Phase 4 - API & Integration

🛰️ Generated with Claude Code
https://claude.com/claude-code

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-12 18:21:11 -08:00