Trilltechnician
4237c4bdb8
## Phase 1: Code Cleanup (~1,859 lines removed) **Deleted Redundant Matchers:** - ❌ strategies_orm.py (356 lines) - Old ORM-based strategies - ❌ simple_matcher.py (351 lines) - Replaced by strategies.py - ❌ rtl433_matcher.py (352 lines) - Replaced by strategies.py **Archived Old Scripts:** - Moved 11 one-time analysis/import scripts to scripts/archive/ - Scripts: analyze_flipper_signatures, analyze_tembed_files, identify_tembed_devices, import_flipper_sqlite, import_tembed_signatures, match_tembed_with_db, match_with_flipper_db, rematch_captures, test_gps_extraction, test_tembed_matching, test_wardriving_import **Consolidated API:** - Renamed main.py → main_orm_legacy.py (archived old ORM-based API) - main_simple.py is now the primary production API ## Phase 2: Pattern Decoder Integration ✅ **CRITICAL FIX: Pattern decoder now integrated into production API!** **Changes:** 1. Updated main_simple.py to use unified SignatureMatcher 2. Added 6 strategies to matcher pipeline: - ExactMatcher (protocol + frequency) - FrequencyMatcher (frequency-based) - BitPatternMatcher (data patterns) - TimingMatcher (timing-based) - RTL433DecoderStrategy (RTL_433 decoder) - PatternBasedStrategy (NEW! Pattern decoder for short captures) 3. Created MockDB class for simplified mode (no real database) 4. Replaced old get_matcher() with get_matcher_engine() 5. Updated upload handler to use MatchResult format 6. All matches now include confidence scores and match methods **Result:** - Pattern decoder is NOW ACTIVE in production 🎉 - Unified matching pipeline with 6 strategies - Cleaner codebase (-1,859 lines) - Single source of truth for matching logic 🎉 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
93 lines
2.5 KiB
Python
Executable File
93 lines
2.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Test GPS extraction from T-Embed files
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Demonstrates automatic GPS population from filenames
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"""
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import sys
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from pathlib import Path
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# Add project root to path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from src.parser.gps_extractor import GPSFilenameExtractor
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def main():
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"""Test GPS extraction on T-Embed files"""
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print("=" * 80)
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print("GPS EXTRACTION TEST - T-Embed Files")
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print("=" * 80)
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print()
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# Find T-Embed files
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tembed_dir = Path(__file__).parent.parent / 'signatures' / 't-embed-rf'
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if not tembed_dir.exists():
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print(f"❌ T-Embed directory not found: {tembed_dir}")
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return 1
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sub_files = list(tembed_dir.glob('*.sub'))
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print(f"Found {len(sub_files)} .sub files")
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print()
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# Test extraction
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extractor = GPSFilenameExtractor()
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with_gps = []
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without_gps = []
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for sub_file in sorted(sub_files):
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coords = extractor.extract(sub_file.name)
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if coords:
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with_gps.append((sub_file.name, coords))
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print(f"✅ {sub_file.name}")
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print(f" 📍 Latitude: {coords.latitude:.6f}")
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print(f" 📍 Longitude: {coords.longitude:.6f}")
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print(f" 📋 Source: {coords.source}")
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else:
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without_gps.append(sub_file.name)
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print(f"⏭️ {sub_file.name} - No GPS in filename")
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print()
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# Summary
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print("=" * 80)
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print("SUMMARY")
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print("=" * 80)
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print(f"Total files: {len(sub_files)}")
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print(f"With GPS coords: {len(with_gps)} ({len(with_gps)/len(sub_files)*100:.1f}%)")
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print(f"Without GPS coords: {len(without_gps)} ({len(without_gps)/len(sub_files)*100:.1f}%)")
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print()
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if with_gps:
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print("Files with GPS coordinates:")
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for filename, coords in with_gps:
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print(f" - {filename}")
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print(f" {coords.latitude:.6f}, {coords.longitude:.6f}")
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print()
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if without_gps:
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print("Files without GPS (would need manual entry or JSON companion):")
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for filename in without_gps:
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print(f" - {filename}")
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print()
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print("=" * 80)
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print("NEXT STEPS")
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print("=" * 80)
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print("1. Files with GPS in filename → Auto-populate coordinates")
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print("2. Files without GPS → Look for companion JSON files")
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print("3. If no JSON found → Require manual GPS entry during upload")
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print("=" * 80)
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return 0
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if __name__ == '__main__':
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sys.exit(main())
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