Trilltechnician/giglez
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00eff8a347d3543170f9a137677caae175c93318
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4 Commits

Author SHA1 Message Date
Trilltechnician a0ccc3d00a fix: Add cache-busting to detail modal API calls 
Fixes issue where modal shows same data for all captures.

Changes:
- Add timestamp-based cache buster to API requests
- Add cache-control headers (no-cache, no-store, must-revalidate)
- Clear modal content when closing to prevent stale data
- Ensures each capture loads fresh, unique data

This resolves the issue where clicking 'View Data' on different
markers showed the same cached data instead of unique per-capture data.
 2026-01-14 12:42:46 -08:00
Trilltechnician 007f206648 debug: Add extensive console logging to modal functionality 
- Log function entry with captureId
- Log DOM element lookups
- Log fetch request URL and response status
- Log received data and rendered HTML
- Log error details to console.error
- This will help identify exact failure point in modal display
 2026-01-14 11:02:21 -08:00
Trilltechnician 86d88aa3df fix: Improve modal event binding and close button functionality 
- Remove inline onclick attribute from close button
- Add ID-based event listener binding in DOMContentLoaded
- Add preventDefault and stopPropagation to close handler
- Add console logging for debugging
- Add null checks for modal elements
 2026-01-14 11:01:53 -08:00
Trilltechnician b083890e96 feat: Integrate frequency-based device identification system 
Integrated comprehensive device attribution system into GigLez:

1. Simple Device Matcher (src/matcher/simple_matcher.py):
   - Frequency-based device categorization (315/433/868/915 MHz)
   - Protocol-specific identification (Princeton, EV1527, Oregon Scientific, etc.)
   - Modulation + frequency matching (OOK/FSK/ASK)
   - Confidence scoring (0.4-0.95 range)
   - 50+ device types covered

2. API Integration (src/api/main_simple.py):
   - Device matching in upload pipeline
   - Added device fields: device_name, device_category, match_confidence, match_method, device_description
   - Top 5 alternative matches stored per capture
   - New endpoint: GET /api/v1/captures/{id} for detail view

3. Frontend Implementation:
   - Detail modal with comprehensive device information
   - Device identification section with confidence bars
   - Alternative matches display
   - Signal, location, and metadata sections
   - Keyboard (ESC) and click-outside modal closing

4. UI Enhancements (static/css/main.css):
   - Modal overlay with backdrop blur
   - Animated modal slide-in
   - Confidence visualization (green/yellow/red bars)
   - Responsive detail grid layout
   - Device match cards with categories

5. JavaScript Integration:
   - detail-modal.js: Comprehensive detail view renderer
   - Updated map.js and search.js to use detail modal
   - Removed placeholder functions

6. Utilities:
   - scripts/rematch_captures.py: Re-run matcher on existing data
   - Successfully re-matched 20 existing captures

Device Categories Supported:
- Consumer RF (remotes, sensors)
- Automotive (key fobs, TPMS)
- Home Automation (garage/gate openers, blinds)
- Sensors (weather stations, temperature)
- Security (door/window sensors, alarms)
- IoT (smart meters, LoRa devices)
- Industrial (SCADA, telemetry, RFID)

Match Methods:
- Protocol matching (highest confidence: 0.7-0.95)
- Frequency matching (0.4-0.7)
- Modulation + frequency matching (0.5-0.7)

Frontend now displays:
- Device name and category on map markers
- Confidence percentage
- Detailed device information modal
- Alternative device matches
- Match method explanation

All existing captures successfully identified with 60-70% confidence.
 2026-01-14 10:51:46 -08:00