feat: RTL_433 protocol database import - iteration 1/5

- Expanded protocol database from 18 → 299 signatures (16.6x increase)
- Imported 281 protocols from RTL_433 open-source database (286 total devices)
- Created automated import script: scripts/import_rtl433_protocols.py
- Generated rtl433_protocols_imported.py with timing/frequency/modulation data
- Updated protocol_database.py to include RTL433_PROTOCOLS
- All 26 tests passing

Breakdown by category:
  - Weather: 116 protocols
  - Sensors: 36 protocols
  - TPMS: 25 protocols
  - Security: 23 protocols
  - Home Automation: 18 protocols
  - Other: 50+ protocols

Frequency coverage:
  - 433.92 MHz: 248 protocols
  - 315.00 MHz: 32 protocols
  - 915.00 MHz: 1 protocol

This provides comprehensive coverage of Sub-GHz IoT devices for accurate
identification from raw RF captures.
This commit is contained in:
leetcrypt
2026-02-14 18:55:55 -08:00
parent 01b06fadc6
commit 9f73595b20
32 changed files with 15365 additions and 50 deletions
+504
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@@ -0,0 +1,504 @@
#!/usr/bin/env python3
"""
Import RF Device Signatures into Database
Imports device signatures from downloaded datasets:
1. Flipper Zero .sub file collections (with automatic labeling from file paths)
2. RTL_433 protocol definitions
3. Creates devices and signatures records for matching engine
Usage:
python3 scripts/import_signatures_to_db.py --flipper --rtl433 --limit 10000
"""
import sys
import os
import json
import re
import hashlib
from pathlib import Path
from typing import Dict, List, Optional, Tuple
from dataclasses import dataclass
# Add project root to path
sys.path.insert(0, str(Path(__file__).parent.parent))
from sqlalchemy.orm import Session
from loguru import logger
from src.database.connection import get_session
from src.database.models import Device, Signature, FlipperSignature
from src.parser.sub_parser import parse_sub_file
from src.parser.metadata import SignalMetadata
# Compatibility alias
SessionLocal = get_session
# =============================================================================
# CONFIGURATION
# =============================================================================
DATA_DIR = Path(__file__).parent.parent / "data"
FLIPPER_DATASETS = [
DATA_DIR / "rf_test_datasets" / "UberGuidoZ_Flipper",
DATA_DIR / "test_known_devices",
]
RTL433_REPO = DATA_DIR / "test_rtl433_real"
# Device type mapping from file paths
DEVICE_TYPE_PATTERNS = {
r"weather[_\s]?station": "Weather Sensor",
r"garage[_\s]?door": "Garage Door Opener",
r"gate[_\s]?opener": "Gate Opener",
r"doorbell": "Doorbell",
r"door[_\s]?sensor": "Door Sensor",
r"motion[_\s]?sensor": "Motion Sensor",
r"smoke[_\s]?detector": "Smoke Detector",
r"remote[_\s]?control": "Remote Control",
r"car[_\s]?key": "Car Key Fob",
r"tpms": "TPMS",
r"tire[_\s]?pressure": "TPMS",
r"security": "Security System",
r"alarm": "Alarm System",
}
MANUFACTURER_PATTERNS = {
r"chamberlain": "Chamberlain",
r"liftmaster": "LiftMaster",
r"genie": "Genie",
r"linear": "Linear",
r"oregon[_\s]?scientific": "Oregon Scientific",
r"acurite": "AcuRite",
r"lacrosse": "LaCrosse",
r"ambient[_\s]?weather": "Ambient Weather",
r"honeywell": "Honeywell",
r"nest": "Nest",
r"ring": "Ring",
r"yale": "Yale",
r"toyota": "Toyota",
r"schrader": "Schrader",
r"nice": "NICE",
r"came": "CAME",
r"bft": "BFT",
}
# =============================================================================
# DATA CLASSES
# =============================================================================
@dataclass
class ExtractedDeviceInfo:
"""Device information extracted from file path and content"""
device_type: Optional[str] = None
manufacturer: Optional[str] = None
model: Optional[str] = None
confidence: float = 0.5 # Confidence in automatic extraction
# =============================================================================
# FILE PATH ANALYSIS
# =============================================================================
def extract_device_info_from_path(file_path: Path) -> ExtractedDeviceInfo:
"""
Extract device information from file path structure
Example paths:
- Weather_stations/Oregon_Scientific/THGN123N.sub
- Garage_Door_Openers/Chamberlain/model_891LM.sub
- UberGuidoZ/Sub-GHz/Vehicles/Tesla/Model_3_Charge_Port.sub
"""
info = ExtractedDeviceInfo()
path_str = str(file_path).lower()
parts = file_path.parts
# Extract device type
for pattern, device_type in DEVICE_TYPE_PATTERNS.items():
if re.search(pattern, path_str, re.IGNORECASE):
info.device_type = device_type
info.confidence = 0.7
break
# Extract manufacturer
for pattern, manufacturer in MANUFACTURER_PATTERNS.items():
if re.search(pattern, path_str, re.IGNORECASE):
info.manufacturer = manufacturer
info.confidence = 0.8
break
# Extract model from filename (heuristic: uppercase letters + numbers)
filename = file_path.stem # Without extension
model_match = re.search(r'([A-Z0-9]{3,}[-_]?[A-Z0-9]*)', filename)
if model_match:
info.model = model_match.group(1).replace('_', ' ')
info.confidence = max(info.confidence, 0.6)
return info
# =============================================================================
# FLIPPER ZERO SIGNATURE IMPORT
# =============================================================================
def import_flipper_signatures(
db: Session,
limit: Optional[int] = None,
skip_existing: bool = True
) -> Tuple[int, int, int]:
"""
Import Flipper Zero .sub files as device signatures
Returns:
(devices_created, signatures_created, files_skipped)
"""
devices_created = 0
signatures_created = 0
files_skipped = 0
# Collect all .sub files
sub_files: List[Path] = []
for dataset_dir in FLIPPER_DATASETS:
if not dataset_dir.exists():
logger.warning(f"Dataset not found: {dataset_dir}")
continue
logger.info(f"Scanning: {dataset_dir}")
sub_files.extend(dataset_dir.rglob("*.sub"))
logger.info(f"Found {len(sub_files)} .sub files across all datasets")
if limit:
sub_files = sub_files[:limit]
logger.info(f"Limited to {limit} files")
# Process each file
for idx, sub_file in enumerate(sub_files, 1):
if idx % 100 == 0:
logger.info(f"Progress: {idx}/{len(sub_files)} ({idx/len(sub_files)*100:.1f}%)")
try:
# Compute file hash for deduplication
file_hash = hashlib.sha256(sub_file.read_bytes()).hexdigest()
# Check if already imported
if skip_existing:
existing = db.query(FlipperSignature).filter_by(
file_hash=file_hash
).first()
if existing:
files_skipped += 1
continue
# Parse .sub file
try:
metadata = parse_sub_file(str(sub_file))
except Exception as e:
logger.debug(f"Parse failed: {sub_file.name} - {e}")
files_skipped += 1
continue
# Extract device info from path
device_info = extract_device_info_from_path(sub_file)
# Skip if no useful information extracted
if not device_info.device_type and not metadata.protocol:
files_skipped += 1
continue
# Create or find device
device_query = db.query(Device)
if device_info.manufacturer and device_info.model:
device_query = device_query.filter_by(
manufacturer=device_info.manufacturer,
model=device_info.model
)
elif metadata.protocol:
# Use protocol as fallback identifier
device_query = device_query.filter_by(
protocol=metadata.protocol,
typical_frequency=metadata.frequency
)
else:
files_skipped += 1
continue
device = device_query.first()
if not device:
# Create new device
device = Device(
manufacturer=device_info.manufacturer or "Unknown",
model=device_info.model or metadata.protocol or "Unknown",
device_type=device_info.device_type or "Unknown",
typical_frequency=metadata.frequency,
protocol=metadata.protocol,
bit_length=metadata.bit_length,
encoding=metadata.file_format if metadata.file_format else None,
source="flipper",
verified=False # Needs community verification
)
db.add(device)
db.flush() # Get device ID
devices_created += 1
# Extract timing statistics for signature matching
timing_min = None
timing_max = None
if metadata.timing_element:
# KEY format: use timing_element with tolerance
timing_min = int(metadata.timing_element * 0.8)
timing_max = int(metadata.timing_element * 1.2)
elif metadata.raw_data and len(metadata.raw_data) > 0:
# RAW format: calculate from pulse statistics
pulse_widths = [abs(p) for p in metadata.raw_data]
if pulse_widths:
timing_min = int(min(pulse_widths) * 0.9) # 10% tolerance
timing_max = int(max(pulse_widths) * 1.1)
# Generate bit_mask for KEY format (all bits significant by default)
bit_mask = None
if metadata.key_data:
# Create mask with all bits set to 1 (all bits are significant)
bit_mask = bytes([0xFF] * len(metadata.key_data))
# Create signature with enhanced metadata
signature = Signature(
device_id=device.id,
protocol=metadata.protocol,
frequency=metadata.frequency,
modulation=str(metadata.modulation).replace("Modulation.", "") if metadata.modulation else None,
bit_pattern=metadata.key_data if metadata.key_data else None,
bit_mask=bit_mask,
timing_min=timing_min,
timing_max=timing_max,
weight=device_info.confidence,
source="flipper"
)
db.add(signature)
signatures_created += 1
# Create Flipper-specific record
flipper_sig = FlipperSignature(
signature_id=None, # Will be set after signature is committed
file_hash=file_hash,
file_path=str(sub_file.relative_to(DATA_DIR)),
preset=metadata.preset if hasattr(metadata, 'preset') else None,
raw_format=metadata.file_format
)
db.add(flipper_sig)
# Commit in batches
if idx % 50 == 0:
try:
db.commit()
except Exception as e:
logger.debug(f"Batch commit error: {e}")
db.rollback()
except Exception as e:
logger.error(f"Error processing {sub_file}: {e}")
db.rollback() # Rollback after error to continue with next file
files_skipped += 1
continue
# Final commit
try:
db.commit()
except Exception as e:
logger.debug(f"Final commit error: {e}")
db.rollback()
logger.info(f"Import complete:")
logger.info(f" - Devices created: {devices_created}")
logger.info(f" - Signatures created: {signatures_created}")
logger.info(f" - Files skipped: {files_skipped}")
return devices_created, signatures_created, files_skipped
# =============================================================================
# RTL_433 PROTOCOL IMPORT
# =============================================================================
def import_rtl433_protocols(db: Session) -> Tuple[int, int]:
"""
Import RTL_433 protocol definitions from test files
RTL_433 test files include .json metadata with:
- Protocol name and number
- Expected output fields
- Device information
Returns:
(devices_created, signatures_created)
"""
devices_created = 0
signatures_created = 0
if not RTL433_REPO.exists():
logger.warning(f"RTL_433 test repo not found: {RTL433_REPO}")
return 0, 0
# Find all .json files (contain protocol metadata)
json_files = list(RTL433_REPO.rglob("*.json"))
logger.info(f"Found {len(json_files)} RTL_433 test .json files")
protocol_map = {} # protocol_name -> metadata
for json_file in json_files:
try:
with open(json_file, 'r') as f:
data = json.load(f)
# RTL_433 .json files contain decoded device information
if isinstance(data, dict) and 'model' in data:
model = data.get('model')
protocol_id = data.get('protocol', None)
# Extract device info
manufacturer = None
if '-' in model:
parts = model.split('-', 1)
manufacturer = parts[0].strip()
model_name = parts[1].strip()
else:
model_name = model
# Frequency from file path or metadata
freq_match = re.search(r'(\d+)M', str(json_file))
frequency = int(freq_match.group(1)) * 1000000 if freq_match else 433920000
# Store protocol info
key = (manufacturer or "Unknown", model_name)
if key not in protocol_map:
protocol_map[key] = {
'manufacturer': manufacturer or "Unknown",
'model': model_name,
'frequency': frequency,
'protocol': model,
'protocol_id': protocol_id,
'device_type': 'Weather Sensor', # Most RTL_433 devices
'example_data': data
}
except Exception as e:
logger.debug(f"Error parsing {json_file}: {e}")
continue
logger.info(f"Extracted {len(protocol_map)} unique RTL_433 protocols")
# Create devices and signatures
for (manufacturer, model_name), proto_info in protocol_map.items():
# Check if device exists
device = db.query(Device).filter_by(
manufacturer=manufacturer,
model=model_name
).first()
if not device:
device = Device(
manufacturer=manufacturer,
model=model_name,
device_type=proto_info['device_type'],
typical_frequency=proto_info['frequency'],
protocol=proto_info['protocol'],
source="rtl433",
verified=True # RTL_433 protocols are trusted
)
db.add(device)
db.flush()
devices_created += 1
# Create signature
signature = Signature(
device_id=device.id,
protocol=proto_info['protocol'],
frequency=proto_info['frequency'],
weight=0.95 # High confidence for RTL_433
)
db.add(signature)
signatures_created += 1
db.commit()
logger.info(f"RTL_433 import complete:")
logger.info(f" - Devices created: {devices_created}")
logger.info(f" - Signatures created: {signatures_created}")
return devices_created, signatures_created
# =============================================================================
# MAIN
# =============================================================================
def main():
import argparse
parser = argparse.ArgumentParser(description="Import RF device signatures into database")
parser.add_argument("--flipper", action="store_true", help="Import Flipper Zero signatures")
parser.add_argument("--rtl433", action="store_true", help="Import RTL_433 protocols")
parser.add_argument("--limit", type=int, default=None, help="Limit number of Flipper files to process")
parser.add_argument("--skip-existing", action="store_true", default=True, help="Skip already imported files")
parser.add_argument("--all", action="store_true", help="Import all sources")
args = parser.parse_args()
if not any([args.flipper, args.rtl433, args.all]):
parser.print_help()
print("\nError: Must specify at least one import source (--flipper, --rtl433, or --all)")
sys.exit(1)
# Setup logging
logger.remove()
logger.add(sys.stderr, level="INFO")
logger.add("logs/import_signatures.log", rotation="10 MB", level="DEBUG")
logger.info("=" * 80)
logger.info("RF Device Signature Import")
logger.info("=" * 80)
# Connect to database
db = SessionLocal()
try:
# Import Flipper signatures
if args.flipper or args.all:
logger.info("\n[1/2] Importing Flipper Zero signatures...")
flipper_stats = import_flipper_signatures(
db,
limit=args.limit,
skip_existing=args.skip_existing
)
logger.info(f"Flipper import: {flipper_stats[0]} devices, {flipper_stats[1]} signatures")
# Import RTL_433 protocols
if args.rtl433 or args.all:
logger.info("\n[2/2] Importing RTL_433 protocols...")
rtl_stats = import_rtl433_protocols(db)
logger.info(f"RTL_433 import: {rtl_stats[0]} devices, {rtl_stats[1]} signatures")
logger.info("\n" + "=" * 80)
logger.info("Import complete!")
logger.info("=" * 80)
# Summary
total_devices = db.query(Device).count()
total_signatures = db.query(Signature).count()
logger.info(f"\nDatabase totals:")
logger.info(f" - Total devices: {total_devices}")
logger.info(f" - Total signatures: {total_signatures}")
finally:
db.close()
if __name__ == "__main__":
main()