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
parent 48fcb00241
commit 04bd80b25b
33 changed files with 1903 additions and 22 deletions
@@ -0,0 +1,114 @@
+# T-Embed RF SubGHz Wardriving Export
+
+**Export Date:** 2026-01-13
+**Device:** Bruce T-Embed CC1101 (ESP32-S3)
+**GPS Source:** Phone (termux-location)
+**Format:** Wigle-compatible CSV
+
+## Files in This Export
+
+### `test_export_wigle.csv`
+Wigle-compatible CSV format with GPS+RF signal pairs.
+
+**Format:**
+- **SignalHash:** SHA256 hash of frequency+protocol (16 chars)
+- **Frequency(MHz):** RF frequency in MHz
+- **Protocol:** SubGHz protocol (RAW, Princeton, etc.)
+- **Latitude/Longitude:** GPS coordinates (decimal degrees)
+- **FirstSeen/LastSeen:** ISO 8601 timestamps
+- **CaptureCount:** Number of times signal was observed
+- **BruceFile:** Original .sub filename from Bruce device
+
+### `raw10.sub`
+Flipper Zero format SubGHz capture file from Bruce T-Embed.
+
+**Format:**
+```
+Filetype: Flipper SubGhz RAW File
+Version: 1
+Frequency: 433920000  (433.92 MHz)
+Preset: FCC_433
+Protocol: RAW
+RAW_Data: <timing data>
+```
+
+### `quick_capture.py`
+Python script to capture GPS+RF pairs and store in database.
+
+**Usage:**
+```bash
+python3 quick_capture.py <bruce_file.sub> [session_id]
+```
+
+## Current GPS Location
+
+**Latest Capture:**
+- **Coordinates:** 34.073625°N, -118.359557°W
+- **Accuracy:** 24.5 meters
+- **Timestamp:** 2026-01-13T19:17:51Z
+- **Provider:** GPS
+
+**Location:** Greater Los Angeles area, California, USA
+
+## Database Schema
+
+Stored in: `~/logs/subghz_wardriving.db` (on phone)
+
+**Tables:**
+- `wardriving_sessions` - Session metadata
+- `gps_track` - GPS breadcrumb trail
+- `subghz_signals` - RF captures with GPS correlation
+
+## Wigle CSV Sample
+
+```csv
+WigleWifi-1.4,appRelease=SubGHz-Wardrive-1.0,model=BruceT-Embed...
+SignalHash,Frequency(MHz),Protocol,RSSI(dBm),Latitude,Longitude...
+8a3f2d1c4e5b6a7f,433.920,RAW,,34.073625,-118.359557,24.5...
+```
+
+## Hardware
+
+**Bruce T-Embed CC1101:**
+- **RF Module:** Texas Instruments CC1101
+- **Frequency Range:** 300-928 MHz
+- **Modulations:** ASK, FSK, GFSK, MSK, 2-FSK, 4-FSK
+- **Data Rate:** 0.6 - 500 kBaud
+- **RX Sensitivity:** -112 dBm @ 1.2 kBaud
+- **TX Power:** -30 to +10 dBm
+
+**Phone GPS:**
+- **Providers:** GPS, Network, Passive
+- **Typical Accuracy:** 10-50 meters
+- **Update Interval:** 158.4 seconds (2.64 minutes) for wardriving
+
+## Next Steps
+
+1. **Analyze Signals:** Plot frequency distribution
+2. **Map Visualization:** Create heatmap of signal locations
+3. **Protocol Decode:** Identify known protocols (garage doors, car keys, weather stations)
+4. **Expand Collection:** Add more capture sessions
+5. **Cross-reference:** Compare with FCC database for legitimate transmitters
+
+## Resources
+
+- **Bruce Firmware:** https://github.com/pr3y/Bruce
+- **Flipper SubGHz:** https://docs.flipperzero.one/sub-ghz
+- **CC1101 Datasheet:** https://www.ti.com/product/CC1101
+- **Wigle.net:** https://wigle.net/ (WiFi wardriving reference)
+
+## Security Notes
+
+This system is designed for:
+- ✅ Security research and education
+- ✅ RF spectrum analysis
+- ✅ Authorized penetration testing
+- ✅ Personal network security assessment
+- ❌ **NOT for:** Unauthorized access, signal replay attacks, or malicious use
+
+---
+
+**System:** SubGHz Wigle-Like Wardriving v1.0
+**Documentation:** ~/docs/SUBGHZ_WIGLE_WARDRIVING.md
+**Database:** ~/logs/subghz_wardriving.db
+**Export Tool:** ~/python/subghz_wardriving/exporter.py