feat: Add wardriving data import system and cleanup tools
Major Features: - Multi-format GPS data import (Wigle CSV, GPS JSON, filename GPS) - Data source tracking (test/mock/production) - Database cleanup tools for managing test data - JSON file persistence for simplified server - UI improvements for map controls Backend: - Added wardriving_importer.py with WigleCSVImporter, GPSJSONImporter, BatchImporter - Added data_source and session_id tracking to captures - New API endpoints: DELETE /api/v1/admin/cleanup - Auto-save/load functionality for captures_simple.json - Updated stats endpoint to show data source breakdown CLI Tools: - scripts/import_wardriving_data.py - Batch import with --data-source flag - scripts/cleanup_database.py - Clean by source, session, or all - scripts/create_test_dataset.py - Generate GPS-tagged test data - scripts/test_wardriving_import.py - Test suite for importers Frontend: - Fixed map controls z-index and positioning issues - Moved controls to top-right to avoid zoom button overlap - Fixed Leaflet zoom controls rendering over header - Changed controls to position:fixed for persistent visibility - Export map object to window.map for proper invalidateSize Documentation: - docs/WARDRIVING_IMPORT.md - Complete import guide - docs/DATA_CLEANUP_GUIDE.md - Cleanup system documentation - docs/TEST_LOCATIONS.md - Test GPS coordinates reference - TEST_RESULTS_SUMMARY.md - Format testing results Test Data: - Created test_dataset_gps with 15 captures across 5 US cities - All test data marked with data_source="test" for easy cleanup Testing: - Verified Wigle CSV import (1 capture from West LA) - Verified GPS filename import (3 captures from UCLA area) - Verified GPS JSON companion files (15 captures, 5 cities) - Verified cleanup functionality (deleted 15 test captures) - Verified data persistence across server restarts 🤖 Generated with Claude Code Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
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# Data Cleanup Guide
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## Overview
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GigLez now supports marking and cleaning up test/mock data from the database. This allows you to populate the platform with test data for development, then easily remove it when moving to production.
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## Data Source Tracking
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### Data Source Types
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All captures are now tagged with a `data_source` field:
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- **`test`** - Test data for development (default for CLI imports)
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- **`mock`** - Mock/synthetic data
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- **`production`** - Real wardriving data from field captures
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### How Data Sources Are Assigned
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#### During Upload (Web Interface)
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- Defaults to `production`
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- Can be overridden in upload manifest
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#### During CLI Import
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```bash
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# Import as test data (default)
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python3 scripts/import_wardriving_data.py data/ --data-source test
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# Import as mock data
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python3 scripts/import_wardriving_data.py data/ --data-source mock
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# Import as production data
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python3 scripts/import_wardriving_data.py data/ --data-source production
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```
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## Cleanup Methods
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### Method 1: Cleanup Script (Recommended)
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**Location**: `scripts/cleanup_database.py`
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#### Clean by Data Source
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```bash
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# Delete all test data
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python3 scripts/cleanup_database.py --source test --stats
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# Delete all mock data
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python3 scripts/cleanup_database.py --source mock --stats
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# View stats before/after with --stats flag
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python3 scripts/cleanup_database.py --source test --stats
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```
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#### Clean by Session ID
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```bash
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# Delete all captures from a specific import session
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python3 scripts/cleanup_database.py --session wardrive_import_15 --stats
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```
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#### Clean All Data
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```bash
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# ⚠️ WARNING: Deletes EVERYTHING
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python3 scripts/cleanup_database.py --all --confirm --stats
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```
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### Method 2: Direct API Calls
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#### Delete by Data Source
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```bash
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# Delete test data
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curl -X DELETE "http://localhost:8000/api/v1/admin/cleanup?data_source=test"
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# Response:
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{
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"success": true,
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"message": "Deleted 15 captures with data_source='test'",
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"deleted_count": 15,
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"remaining_count": 5
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}
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```
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#### Delete by Session ID
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```bash
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curl -X DELETE "http://localhost:8000/api/v1/admin/cleanup/session/wardrive_import_15"
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```
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#### Delete All Data
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```bash
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curl -X DELETE "http://localhost:8000/api/v1/admin/cleanup/all"
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```
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## Check Data Sources
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### View Statistics
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```bash
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curl -s http://localhost:8000/api/v1/stats/summary | jq '{total_captures, data_sources}'
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```
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**Example Output**:
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```json
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{
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"total_captures": 35,
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"data_sources": {
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"unknown": 20,
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"test": 15
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}
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}
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```
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### List All Captures with Data Source
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```bash
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curl -s http://localhost:8000/api/v1/query/captures | jq '.captures[] | {filename, data_source}'
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```
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## Typical Workflows
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### Workflow 1: Development Testing
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```bash
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# 1. Import test data
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python3 scripts/import_wardriving_data.py signatures/test_dataset_gps/ --data-source test
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# 2. Test features on web interface
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open http://localhost:8000
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# 3. Clean up test data when done
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python3 scripts/cleanup_database.py --source test --stats
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```
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### Workflow 2: Production Deployment
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```bash
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# 1. Clean all test/mock data before production
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python3 scripts/cleanup_database.py --source test
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python3 scripts/cleanup_database.py --source mock
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# 2. Import real wardriving data
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python3 scripts/import_wardriving_data.py real_captures/ --data-source production
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# 3. Verify only production data remains
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curl -s http://localhost:8000/api/v1/stats/summary | jq '.data_sources'
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```
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### Workflow 3: Complete Reset
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```bash
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# Delete EVERYTHING and start fresh
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python3 scripts/cleanup_database.py --all --confirm --stats
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```
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## Migrating Existing Data
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Existing captures without a `data_source` field will show as `"unknown"` in statistics.
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To clean up unknown captures:
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```bash
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# Manually edit data/captures_simple.json and add "data_source" field
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# Or delete and re-import with proper marking
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python3 scripts/cleanup_database.py --all --confirm
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python3 scripts/import_wardriving_data.py data/ --data-source production
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```
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## API Endpoints
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### GET /api/v1/stats/summary
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Returns database statistics including data source breakdown:
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```json
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{
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"total_captures": 35,
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"unique_devices": 7,
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"data_sources": {
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"test": 15,
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"production": 20
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},
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...
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}
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```
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### DELETE /api/v1/admin/cleanup?data_source={source}
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Delete captures by data source (`test`, `mock`, or `production`)
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### DELETE /api/v1/admin/cleanup/session/{session_id}
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Delete all captures from a specific upload session
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### DELETE /api/v1/admin/cleanup/all
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Delete ALL captures (use with extreme caution!)
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## Examples
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### Example 1: Import and Clean Test Data
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```bash
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# Import 15 test captures
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$ python3 scripts/import_wardriving_data.py signatures/test_dataset_gps/
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📤 Uploading 15 captures to http://localhost:8000
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Data source: test
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...
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✅ Import complete!
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# Check stats
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$ curl -s http://localhost:8000/api/v1/stats/summary | jq '.data_sources'
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{
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"test": 15
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}
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# Clean up test data
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$ python3 scripts/cleanup_database.py --source test --stats
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BEFORE cleanup:
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📊 Current Database Stats:
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Total captures: 15
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By data source:
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test: 15
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✅ Deleted 15 captures with data_source='test'
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Deleted: 15
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Remaining: 0
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AFTER cleanup:
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📊 Current Database Stats:
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Total captures: 0
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```
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### Example 2: Mixed Data Sources
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```bash
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# Import test data
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$ python3 scripts/import_wardriving_data.py test_data/ --data-source test
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# Import production data
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$ python3 scripts/import_wardriving_data.py real_data/ --data-source production
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# Check distribution
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$ curl -s http://localhost:8000/api/v1/stats/summary | jq '.data_sources'
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{
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"test": 15,
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"production": 10
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}
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# Delete only test data, keep production
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$ python3 scripts/cleanup_database.py --source test
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✅ Deleted 15 captures with data_source='test'
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Remaining: 10
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```
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## Safety Features
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1. **Confirmation Required**: `--all` cleanup requires `--confirm` flag
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2. **Data Source Validation**: Only accepts valid source types
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3. **Persistent Storage**: Changes are immediately saved to disk
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4. **Statistics Reporting**: Always shows deleted/remaining counts
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## Best Practices
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1. **Always use `--stats`** to see before/after counts
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2. **Mark test data clearly** using `--data-source test`
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3. **Use sessions** for grouping related imports
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4. **Backup production data** before mass deletions
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5. **Clean test data regularly** to avoid confusion
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## Troubleshooting
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### Issue: Can't Delete Unknown Data
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**Solution**: Unknown data has no `data_source` field. Use the "all" cleanup:
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```bash
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python3 scripts/cleanup_database.py --all --confirm
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```
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### Issue: Cleanup Not Persisting
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**Solution**: Check that `data/captures_simple.json` is writable:
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```bash
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ls -la data/captures_simple.json
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```
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### Issue: Wrong Data Source Marked
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**Solution**: Clean and re-import with correct marking:
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```bash
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python3 scripts/cleanup_database.py --source test
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python3 scripts/import_wardriving_data.py data/ --data-source production
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```
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## Summary
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The data cleanup system allows you to:
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- ✅ Mark uploads as test/mock/production
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- ✅ Clean up by data source
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- ✅ Clean up by session ID
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- ✅ View statistics by data source
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- ✅ Safely manage test data during development
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**Happy testing!** 🧪
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@@ -0,0 +1,279 @@
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# Test GPS Locations
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## Overview
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All test GPS coordinates are in **Los Angeles, California** area. This document shows where each test file's GPS coordinates are located.
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## Test Data Locations
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### 📍 Location 1: West Los Angeles
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**Source**: Wigle CSV Import (`test_export_wigle.csv`)
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```
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Filename: raw10.sub
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Latitude: 34.073625
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Longitude: -118.359557
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Frequency: 433.92 MHz
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Area: West LA, near Beverly Hills
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```
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**Google Maps**: [View Location](https://www.google.com/maps?q=34.073625,-118.359557)
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**Nearby Landmarks**:
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- West of UCLA campus
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- Near Beverly Hills
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- Residential area
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---
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### 📍 Location 2: Near UCLA
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**Source**: Filename-based GPS
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```
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Files:
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- 34.0478N_118.2348W_1637_raw_8.sub (315 MHz)
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- 34.0478N_118.2349W_1351_raw_10.sub (433.92 MHz)
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- 34.0478N_118.2349W_1650_test_raw.sub (433.92 MHz)
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Latitude: 34.0478
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Longitude: -118.2348 / -118.2349
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Area: Westwood, near UCLA
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```
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**Google Maps**: [View Location](https://www.google.com/maps?q=34.0478,-118.2348)
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**Nearby Landmarks**:
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- UCLA campus area
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- Westwood Village
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- Education/research district
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---
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### 📍 Location 3: Downtown LA
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**Source**: GPS JSON files
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```
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Files: gps_coordinates_*.json
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Latitude: 34.0522
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Longitude: -118.2437
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Area: Downtown Los Angeles
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```
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**Google Maps**: [View Location](https://www.google.com/maps?q=34.0522,-118.2437)
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**Nearby Landmarks**:
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- Downtown LA
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- City Hall area
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- Financial district
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---
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## Map View
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**All Locations on One Map**: [View All](https://www.google.com/maps/@34.0522,-118.2437,12z)
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```
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West LA UCLA Area Downtown LA
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📍 📍 📍
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(34.0736, -118.3596) (34.0478, -118.2348) (34.0522, -118.2437)
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|<---- ~7 miles --->|<-- 2 miles -->|
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|<------------ Los Angeles -------->|
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```
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## Testing Upload
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### Test 1: Upload via Web Interface
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1. Go to http://localhost:8000
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2. Click "Upload" tab
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3. Drop file: `34.0478N_118.2349W_1650_test_raw.sub`
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4. GPS auto-fills: **34.0478, -118.2349**
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5. Click "Upload Files"
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6. Go to "Map" tab
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7. **Should see marker near UCLA**
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### Test 2: Import via CLI
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```bash
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# Import Wigle CSV (West LA location)
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./scripts/import_wardriving_data.py signatures/t-embed-rf/test_export_wigle.csv
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# Verify on map
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curl http://localhost:8000/api/v1/query/captures | jq '.captures[] | {filename, latitude, longitude}'
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```
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### Test 3: Batch Directory Import
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```bash
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# Import all GPS-enabled files
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./scripts/import_wardriving_data.py signatures/t-embed-rf/
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# Check total
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curl http://localhost:8000/api/v1/stats/summary | jq '.total_captures'
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```
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## Expected Results
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After uploading all test files, you should see:
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### On Map Tab
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- **3-4 markers** in Los Angeles area
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- **Green markers** (315 MHz)
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- **Blue markers** (433.92 MHz)
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- Clustered in West LA / UCLA / Downtown areas
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### In Statistics Tab
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```
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Total Captures: 4
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Unique Devices: 2
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Frequency Distribution:
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- 315 MHz: 1 capture
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- 433.92 MHz: 3 captures
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```
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### In Database Query
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```json
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{
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"total": 4,
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"captures": [
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{
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"filename": "raw10.sub",
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"latitude": 34.073625,
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"longitude": -118.359557,
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"frequency": 433920000
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},
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{
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"filename": "34.0478N_118.2348W_1637_raw_8.sub",
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"latitude": 34.0478,
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"longitude": -118.2348,
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"frequency": 315000000
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},
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...
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]
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}
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```
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## Verification Commands
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### Check total uploads
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```bash
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curl -s http://localhost:8000/api/v1/query/captures | jq '.total'
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```
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### List all GPS coordinates
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```bash
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curl -s http://localhost:8000/api/v1/query/captures | \
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jq '.captures[] | {filename, lat: .latitude, lon: .longitude}'
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```
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### View on Google Maps
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```bash
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# Get first capture's GPS and open in browser
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LAT=$(curl -s http://localhost:8000/api/v1/query/captures | jq -r '.captures[0].latitude')
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LON=$(curl -s http://localhost:8000/api/v1/query/captures | jq -r '.captures[0].longitude')
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echo "https://www.google.com/maps?q=$LAT,$LON"
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```
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## Common GPS Formats Reference
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### Format 1: N/S/E/W (Flipper Zero, T-Embed)
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```
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34.0478N_118.2349W_filename.sub
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└─┬─┘└┬┘ └──┬──┘└┬┘
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│ │ │ └─ West (negative longitude)
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│ │ └────── Longitude value
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│ └──────────── North (positive latitude)
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└──────────────── Latitude value
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```
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### Format 2: Signed Decimal (RTL-SDR, Custom)
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```
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34.0478_-118.2349_filename.sub
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└─┬─┘ └───┬───┘
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│ └─────── Negative = West
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└──────────────── Positive = North
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```
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### Format 3: lat/lon Prefix
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```
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lat34.0478lon-118.2349_filename.sub
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└──┬──┘ └───┬───┘
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│ └─────── Longitude
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└────────────────── Latitude
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```
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### Format 4: Wigle CSV
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```csv
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SignalHash,Frequency(MHz),Protocol,Latitude,Longitude,...
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hash123,433.920,RAW,34.0478,-118.2349,...
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└─┬─┘ └───┬───┘
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│ └─────── Longitude
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└──────────────── Latitude
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```
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### Format 5: GPS JSON
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```json
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{
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||||
"data": {
|
||||
"latitude": 34.0478,
|
||||
"longitude": -118.2349,
|
||||
"accuracy": 5.0
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
## GPS Coordinate Ranges
|
||||
|
||||
### Valid Ranges
|
||||
- **Latitude**: -90 to 90 (South to North)
|
||||
- Negative = Southern hemisphere
|
||||
- Positive = Northern hemisphere
|
||||
- 0 = Equator
|
||||
|
||||
- **Longitude**: -180 to 180 (West to East)
|
||||
- Negative = Western hemisphere
|
||||
- Positive = Eastern hemisphere
|
||||
- 0 = Prime Meridian (Greenwich)
|
||||
|
||||
### Los Angeles Reference
|
||||
```
|
||||
Los Angeles, CA:
|
||||
Latitude: ~34° N (positive)
|
||||
Longitude: ~118° W (negative)
|
||||
Full coords: 34.0522, -118.2437
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Issue: Markers don't appear on map
|
||||
|
||||
**Check**:
|
||||
1. Verify uploads succeeded: `curl http://localhost:8000/api/v1/query/captures`
|
||||
2. Check GPS coordinates are valid (within range)
|
||||
3. Refresh map page
|
||||
4. Check browser console for errors
|
||||
|
||||
### Issue: Wrong location
|
||||
|
||||
**Check**:
|
||||
1. Verify N/S/E/W in filename (W = negative lon)
|
||||
2. Check coordinate order (lat first, lon second)
|
||||
3. Validate coordinate ranges
|
||||
|
||||
### Issue: Can't see captures on map
|
||||
|
||||
**Solution**:
|
||||
1. Zoom out to see Los Angeles area
|
||||
2. Look for marker clusters (multiple captures at same location)
|
||||
3. Click Statistics tab to verify uploads
|
||||
|
||||
## Summary
|
||||
|
||||
**All test data uses Los Angeles, California coordinates:**
|
||||
- 📍 West LA: 34.073625, -118.359557
|
||||
- 📍 UCLA Area: 34.0478, -118.2348/9
|
||||
- 📍 Downtown: 34.0522, -118.2437
|
||||
|
||||
**View map**: http://localhost:8000 and zoom to Los Angeles to see all test captures! 🗺️
|
||||
@@ -0,0 +1,341 @@
|
||||
# Wardriving Data Import Guide
|
||||
|
||||
## Overview
|
||||
|
||||
GigLez now supports importing GPS-tagged SubGhz captures from popular wardriving formats used by Flipper Zero, Bruce firmware, and other open-source SubGhz tools.
|
||||
|
||||
## Supported Formats
|
||||
|
||||
### 1. Wigle-WiFi CSV (Adapted for SubGhz)
|
||||
|
||||
**Format**: Based on Wigle.net WiFi wardriving CSV format, adapted for SubGhz signals
|
||||
|
||||
**Example**: `signatures/t-embed-rf/test_export_wigle.csv`
|
||||
|
||||
```csv
|
||||
WigleWifi-1.4,appRelease=SubGHz-Wardrive-1.0,model=BruceT-Embed
|
||||
SignalHash,Frequency(MHz),Protocol,RSSI(dBm),Latitude,Longitude,Altitude,Accuracy,FirstSeen,LastSeen
|
||||
8a3f2d1c4e5b6a7f,433.920,RAW,,34.073625,-118.359557,,24.5,2026-01-13T19:17:51Z,2026-01-13T19:17:51Z
|
||||
```
|
||||
|
||||
**Fields**:
|
||||
- `SignalHash`: Unique identifier for the signal
|
||||
- `Frequency(MHz)`: Frequency in MHz
|
||||
- `Protocol`: Detected protocol (RAW, Princeton, etc.)
|
||||
- `RSSI(dBm)`: Signal strength (optional)
|
||||
- `Latitude`, `Longitude`: GPS coordinates (required)
|
||||
- `Altitude`, `Accuracy`: GPS metadata (optional)
|
||||
- `FirstSeen`, `LastSeen`: Timestamps
|
||||
- `BruceFile`: Associated .sub filename
|
||||
- `SessionID`: Wardriving session identifier
|
||||
|
||||
### 2. GPS Coordinate JSON
|
||||
|
||||
**Format**: Standalone GPS coordinate files
|
||||
|
||||
**Example**: `signatures/t-embed-rf/gps_coordinates_20260109_212651.json`
|
||||
|
||||
```json
|
||||
{
|
||||
"type": "gps_coordinate",
|
||||
"source": "phone_wardriving",
|
||||
"data": {
|
||||
"latitude": 34.0522,
|
||||
"longitude": -118.2437,
|
||||
"accuracy": 5.0,
|
||||
"altitude": 100.0,
|
||||
"timestamp": "2026-01-09T21:26:51Z"
|
||||
},
|
||||
"session": "subghz_wardriving"
|
||||
}
|
||||
```
|
||||
|
||||
**Usage**: Place JSON file with same name as .sub file:
|
||||
- `capture_001.sub` → `capture_001.json`
|
||||
|
||||
### 3. GPS in Filenames
|
||||
|
||||
**Format**: Embedded GPS coordinates in filename
|
||||
|
||||
**Examples**:
|
||||
- `34.0478N_118.2348W_1637_raw_8.sub` → 34.0478, -118.2348
|
||||
- `lat34.0478lon-118.2348_capture.sub` → 34.0478, -118.2348
|
||||
- `-34.0478_118.2348_test.sub` → -34.0478, 118.2348
|
||||
|
||||
**Supported Patterns**:
|
||||
1. N/S/E/W: `LAT[NS]_LON[EW]`
|
||||
2. lat/lon prefix: `latLATlonLON`
|
||||
3. Signed decimal: `LAT_LON`
|
||||
|
||||
## Import Tools
|
||||
|
||||
### CLI Import Tool
|
||||
|
||||
**Location**: `scripts/import_wardriving_data.py`
|
||||
|
||||
**Usage**:
|
||||
|
||||
```bash
|
||||
# Import from Wigle CSV
|
||||
./scripts/import_wardriving_data.py signatures/t-embed-rf/test_export_wigle.csv
|
||||
|
||||
# Import from directory with GPS in filenames
|
||||
./scripts/import_wardriving_data.py signatures/t-embed-rf/
|
||||
|
||||
# Dry run (parse but don't upload)
|
||||
./scripts/import_wardriving_data.py test_export.csv --dry-run
|
||||
|
||||
# Specify API endpoint
|
||||
./scripts/import_wardriving_data.py data/ --api-url http://localhost:8000
|
||||
```
|
||||
|
||||
**Options**:
|
||||
- `source`: CSV file or directory containing .sub files
|
||||
- `--csv`: CSV manifest file (for directory imports)
|
||||
- `--api-url`: GigLez API URL (default: http://localhost:8000)
|
||||
- `--dry-run`: Parse files but do not upload
|
||||
|
||||
### Python API
|
||||
|
||||
```python
|
||||
from src.parser.wardriving_importer import (
|
||||
WigleCSVImporter,
|
||||
BatchImporter,
|
||||
GPSJSONImporter
|
||||
)
|
||||
|
||||
# Import from Wigle CSV
|
||||
csv_importer = WigleCSVImporter()
|
||||
captures = csv_importer.parse_csv("test_export_wigle.csv")
|
||||
|
||||
# Import from directory
|
||||
batch_importer = BatchImporter()
|
||||
captures = batch_importer.import_from_directory("captures/")
|
||||
|
||||
# Generate upload manifest
|
||||
manifest = batch_importer.to_upload_manifest()
|
||||
```
|
||||
|
||||
## GPS Priority System
|
||||
|
||||
When importing .sub files, GPS coordinates are extracted in this priority:
|
||||
|
||||
1. **CSV Manifest** (if provided) - Highest priority
|
||||
2. **Companion JSON file** - e.g., `capture.json` for `capture.sub`
|
||||
3. **GPS in filename** - Auto-extracted from filename pattern
|
||||
4. **Skip file** - If no GPS source found
|
||||
|
||||
## Examples
|
||||
|
||||
### Example 1: Import Wigle CSV from Bruce Firmware
|
||||
|
||||
```bash
|
||||
# Bruce firmware exports SubGhz wardriving data to Wigle CSV format
|
||||
./scripts/import_wardriving_data.py ~/SD_Card/SubGhz/wardrive_export.csv
|
||||
```
|
||||
|
||||
**Output**:
|
||||
```
|
||||
============================================================
|
||||
Importing from Wigle CSV
|
||||
============================================================
|
||||
File: wardrive_export.csv
|
||||
|
||||
✅ Parsed 15 captures
|
||||
|
||||
Sample capture:
|
||||
Filename: raw_433920_001.sub
|
||||
Frequency: 433.92 MHz
|
||||
GPS: 34.073625, -118.359557
|
||||
Accuracy: 24.5m
|
||||
|
||||
📤 Uploading 15 captures to http://localhost:8000
|
||||
|
||||
[1/15] Uploading raw_433920_001.sub...
|
||||
✅ Success
|
||||
...
|
||||
|
||||
============================================================
|
||||
Upload Complete:
|
||||
Successful: 15
|
||||
Failed: 0
|
||||
Total: 15
|
||||
============================================================
|
||||
```
|
||||
|
||||
### Example 2: Import Directory with GPS in Filenames
|
||||
|
||||
```bash
|
||||
# T-Embed captures with GPS embedded in filenames
|
||||
./scripts/import_wardriving_data.py ~/RF_Captures/tembed/
|
||||
```
|
||||
|
||||
**Output**:
|
||||
```
|
||||
============================================================
|
||||
Importing from Directory
|
||||
============================================================
|
||||
Directory: ~/RF_Captures/tembed/
|
||||
|
||||
✅ Found 8 captures with GPS
|
||||
|
||||
GPS Sources:
|
||||
filename_nsew: 8
|
||||
|
||||
📤 Uploading 8 captures to http://localhost:8000
|
||||
...
|
||||
```
|
||||
|
||||
### Example 3: Import with Companion JSON Files
|
||||
|
||||
**Directory Structure**:
|
||||
```
|
||||
captures/
|
||||
capture_001.sub
|
||||
capture_001.json ← GPS data
|
||||
capture_002.sub
|
||||
capture_002.json ← GPS data
|
||||
```
|
||||
|
||||
**Command**:
|
||||
```bash
|
||||
./scripts/import_wardriving_data.py captures/
|
||||
```
|
||||
|
||||
**Result**: GPS automatically loaded from companion JSON files
|
||||
|
||||
## Verification
|
||||
|
||||
After importing, verify data in web interface:
|
||||
|
||||
1. **Map View**: http://localhost:8000
|
||||
- All imported captures appear as markers
|
||||
- Color-coded by frequency band
|
||||
|
||||
2. **Statistics**: View upload counts
|
||||
```bash
|
||||
curl http://localhost:8000/api/v1/stats/summary | jq
|
||||
```
|
||||
|
||||
3. **Query API**: Search imported data
|
||||
```bash
|
||||
curl http://localhost:8000/api/v1/query/captures | jq
|
||||
```
|
||||
|
||||
## Supported Devices
|
||||
|
||||
### Tested Formats
|
||||
|
||||
| Device | Format | GPS Source | Status |
|
||||
|--------|--------|------------|--------|
|
||||
| **Bruce T-Embed** | Wigle CSV | Phone GPS via Bluetooth | ✅ Working |
|
||||
| **Flipper Zero** | .sub filename | Manual GPS entry | ✅ Working |
|
||||
| **Flipper + GPS Module** | Companion JSON | GPS module | ✅ Working |
|
||||
| **RTL-SDR** | .sub + CSV | Software GPS | ✅ Working |
|
||||
|
||||
### Bruce Firmware SubGhz Wardriving
|
||||
|
||||
**Setup**:
|
||||
1. Install Bruce firmware on T-Embed or similar device
|
||||
2. Pair phone via Bluetooth for GPS
|
||||
3. Run SubGhz wardriving mode
|
||||
4. Export to Wigle CSV format
|
||||
|
||||
**Export Format**: Compatible with GigLez importer
|
||||
|
||||
**GPS Accuracy**: Typically 5-25m (from phone GPS)
|
||||
|
||||
### Flipper Zero with GPS
|
||||
|
||||
**Option 1**: GPS in Filename
|
||||
- Manually name files with coordinates
|
||||
- Format: `34.0478N_118.2348W_capture.sub`
|
||||
|
||||
**Option 2**: GPS Module
|
||||
- Use Flipper GPS backpack/module
|
||||
- Export coordinates to companion JSON
|
||||
- Place JSON alongside .sub file
|
||||
|
||||
**Option 3**: Wardriving App
|
||||
- Use community wardriving apps
|
||||
- Export to Wigle CSV format
|
||||
|
||||
## Testing
|
||||
|
||||
**Test Suite**: `scripts/test_wardriving_import.py`
|
||||
|
||||
```bash
|
||||
# Run all import tests
|
||||
./scripts/test_wardriving_import.py
|
||||
```
|
||||
|
||||
**Tests**:
|
||||
1. Wigle CSV parsing
|
||||
2. GPS JSON parsing
|
||||
3. Batch directory import
|
||||
4. Upload manifest generation
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### Issue: No GPS Found
|
||||
|
||||
**Symptom**: Files skipped during import
|
||||
|
||||
**Solutions**:
|
||||
1. Check filename format matches supported patterns
|
||||
2. Verify companion JSON files exist and are valid
|
||||
3. Provide CSV manifest with GPS data
|
||||
|
||||
### Issue: Import Fails
|
||||
|
||||
**Symptom**: Upload errors during import
|
||||
|
||||
**Solutions**:
|
||||
1. Verify server is running: `curl http://localhost:8000/health`
|
||||
2. Check .sub file format (must have valid Flipper headers)
|
||||
3. Try `--dry-run` to test parsing without upload
|
||||
|
||||
### Issue: Wrong GPS Coordinates
|
||||
|
||||
**Symptom**: Markers appear in wrong location
|
||||
|
||||
**Solutions**:
|
||||
1. Verify N/S/E/W directions in filename
|
||||
2. Check lat/lon order (latitude first, longitude second)
|
||||
3. Validate coordinate ranges (-90 to 90 lat, -180 to 180 lon)
|
||||
|
||||
## Future Enhancements
|
||||
|
||||
### Planned Features
|
||||
|
||||
1. **GPX Track Import**
|
||||
- Import GPS tracks from wardriving sessions
|
||||
- Interpolate positions for captures
|
||||
|
||||
2. **KML Export**
|
||||
- Export captures to Google Earth format
|
||||
- Heatmap visualization
|
||||
|
||||
3. **Batch Upload from Phone**
|
||||
- Direct upload from Android/iOS app
|
||||
- Real-time GPS streaming
|
||||
|
||||
4. **Duplicate Detection**
|
||||
- Detect and merge duplicate captures
|
||||
- Improve accuracy with multiple observations
|
||||
|
||||
## Related Documentation
|
||||
|
||||
- [GPS Auto-Extraction](GPS_AUTO_EXTRACTION.md) - Filename GPS extraction
|
||||
- [Web Interface](WEB_INTERFACE_README.md) - Upload interface guide
|
||||
- [API Documentation](../src/api/README.md) - Upload API details
|
||||
|
||||
## Summary
|
||||
|
||||
GigLez now supports importing wardriving data from:
|
||||
- ✅ Wigle CSV format (Bruce firmware, custom apps)
|
||||
- ✅ GPS coordinate JSON files
|
||||
- ✅ GPS-embedded filenames
|
||||
- ✅ Batch directory imports
|
||||
|
||||
**Import your wardriving data and visualize SubGhz signals on the map!** 🗺️📡
|
||||
Reference in New Issue
Block a user