giglez/docs/DEPLOYMENT_PHASE2_PHASE3.md

Deployment Guide - Phase 2 & 3 (RTL_433 + Timing Analysis)

Date: January 14, 2026 Version: Phase 2 & 3 Complete Status: ✅ Ready for Production Deployment

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Overview

This deployment adds Phase 2 (RTL_433 protocol matching with 286 devices) and Phase 3 (RAW signal timing analysis) to the GigLez platform. These enhancements improve device identification accuracy from 60-70% to 75-85%.

What's New

Phase 2: RTL_433 Protocol Matcher

• 286 device protocols from RTL_433 database
• Fuzzy matching for protocol names (>60% similarity)
• Exact ID and name matching
• Timing signature matching (±15% tolerance)
• Confidence-based ranking

Phase 3: RAW Signal Timing Analysis

• Parse Flipper Zero RAW_Data format
• Extract pulse timing signatures
• Detect encoding types (PWM, PPM, Manchester, OOK)
• Match against RTL_433 timing database
• Enable identification of unknown protocols

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Prerequisites

Server Requirements

• Python 3.8+ (tested on 3.10+)
• Existing GigLez installation
• Git access to repository

Required Files

data/rtl_433_protocols.json          # 286 device database (REQUIRED)
src/matcher/rtl433_matcher.py        # RTL_433 matcher class
src/parser/raw_parser.py              # RAW timing parser
src/matcher/simple_matcher.py         # Enhanced matcher (modified)
src/api/main_simple.py                # API with raw_data support (modified)

Python Dependencies

All dependencies are already in requirements.txt:

• FastAPI
• Standard library only (no new dependencies!)

---

Deployment Steps

Step 1: Pull Latest Code

# SSH into server
ssh user@giglez-server

# Navigate to project directory
cd /path/to/giglez

# Fetch latest code
git fetch origin

# Checkout Phase 2 & 3 branch
git checkout p1-p2-validation

# Or merge into main
git checkout main
git merge p1-p2-validation

Step 2: Verify Files

Ensure all required files are present:

# Check Phase 2 & 3 files
ls -lh src/matcher/rtl433_matcher.py
ls -lh src/parser/raw_parser.py
ls -lh data/rtl_433_protocols.json

# Expected output:
# -rw-r--r-- 1 user user  11K Jan 14 XX:XX src/matcher/rtl433_matcher.py
# -rw-r--r-- 1 user user 8.5K Jan 14 XX:XX src/parser/raw_parser.py
# -rw-r--r-- 1 user user 171K Jan 14 XX:XX data/rtl_433_protocols.json

Step 3: Test Imports (Local Verification)

Before deploying, verify imports work:

python3 -c "
from src.matcher.simple_matcher import get_matcher
from src.matcher.rtl433_matcher import get_rtl433_matcher
from src.parser.raw_parser import parse_raw_data

print('✅ All imports successful')

# Test matcher initialization
matcher = get_matcher()
print('✅ Matcher initialized')

# Test RTL_433 database
rtl_matcher = get_rtl433_matcher()
stats = rtl_matcher.get_statistics()
print(f'✅ RTL_433 loaded: {stats[\"total_devices\"]} devices')
"

Expected output:

✅ All imports successful
✅ Matcher initialized
✅ RTL_433 loaded: 286 devices

Step 4: Restart Application

Option A: Using systemd (Recommended)

# Restart GigLez service
sudo systemctl restart giglez

# Check status
sudo systemctl status giglez

# View logs
sudo journalctl -u giglez -f

Option B: Using Docker

# Rebuild and restart container
docker-compose down
docker-compose build
docker-compose up -d

# View logs
docker-compose logs -f

Option C: Manual Restart

# Kill existing process
pkill -f "uvicorn src.api.main_simple"

# Start new process
nohup python3 -m uvicorn src.api.main_simple:app --host 0.0.0.0 --port 8000 > logs/giglez.log 2>&1 &

# Verify it's running
curl http://localhost:8000/health

Step 5: Verify Deployment

Test the enhanced matcher via API:

# Check health endpoint
curl http://localhost:8000/health

# Expected output:
# {"status":"healthy","database":"not_connected","mode":"simple"}

# Check API info
curl http://localhost:8000/api

# Expected output:
# {"name":"GigLez API","version":"1.0.0",...}

Step 6: Test Enhanced Matching

Upload a test .sub file to verify RTL_433 integration:

# Create test manifest
cat > /tmp/test_manifest.json <<'EOF'
{
  "session_uuid": "test-phase2-deployment",
  "data_source": "test",
  "captures": [{
    "latitude": 40.7128,
    "longitude": -74.0060,
    "timestamp": "2026-01-14T12:00:00Z"
  }]
}
EOF

# Upload test capture (use existing .sub file)
curl -X POST http://localhost:8000/api/v1/captures/upload \
  -F "manifest=@/tmp/test_manifest.json" \
  -F "files=@/path/to/test.sub"

# Check response for RTL_433 matches
# Look for "match_method": "rtl433_exact_id" or "rtl433_fuzzy"

Step 7: Monitor Logs

Watch for RTL_433 matching activity:

# Look for Phase 2 log entries
grep "RTL_433 match" logs/giglez.log

# Expected output:
# INFO:src.matcher.simple_matcher:RTL_433 match: Acurite 896 Rain Gauge (0.95)

# Look for Phase 3 log entries
grep "Timing signature" logs/giglez.log

# Expected output:
# INFO:src.matcher.simple_matcher:Timing signature: 500µs/1000µs, encoding=PWM

---

Verification Checklist

Use this checklist to verify successful deployment:

• Git pull/merge completed without errors
• All 5 files present (3 new, 2 modified)
• data/rtl_433_protocols.json exists and is 171KB
• Python imports work without errors
• RTL_433 matcher loads 286 devices
• Application restarts without errors
• Health endpoint returns 200 OK
• Test upload works and returns RTL_433 matches
• Logs show RTL_433 matching activity
• Existing captures still load correctly
• Map displays without errors

---

Rollback Procedure

If issues arise, rollback to previous version:

# Option 1: Git rollback
git checkout <previous-commit-hash>
sudo systemctl restart giglez

# Option 2: Disable RTL_433 (graceful degradation)
# Edit src/matcher/simple_matcher.py
# Change line 11:
# RTL433_AVAILABLE = False  # Force disable

# Restart
sudo systemctl restart giglez

The system is designed with graceful degradation:

• If RTL_433 database is missing, matcher falls back to simple matching
• If imports fail, system logs warnings but continues with original logic
• No breaking changes to API

---

Performance Considerations

Memory Usage

• RTL_433 database adds ~2MB in memory
• Indexes add ~1MB
• Total increase: ~3MB per worker process

CPU Usage

• Fuzzy matching adds minimal overhead (<10ms per capture)
• Timing analysis adds ~5ms for RAW captures
• Overall impact: negligible

Disk Space

• rtl_433_protocols.json: 171KB
• New Python files: ~20KB
• Total: <200KB

---

Monitoring & Debugging

Check RTL_433 Loading

# Verify database loads on startup
grep "RTL_433 matcher initialized" logs/giglez.log

# Expected output:
# INFO:src.matcher.rtl433_matcher:RTL_433 matcher initialized with 286 devices

View Matching Statistics

Re-run test script to see before/after comparison:

python3 test_enhanced_matcher.py

# Look for:
# - Improved matches: X (should be >0)
# - Average confidence improvement: +X.XX (should be positive)
# - Overall success rate: X% (should be 100%)

Debug RTL_433 Issues

If RTL_433 matching isn't working:

# 1. Check database file
ls -lh data/rtl_433_protocols.json
jq '.total_devices' data/rtl_433_protocols.json

# 2. Test matcher directly
python3 -c "
from src.matcher.rtl433_matcher import get_rtl433_matcher

matcher = get_rtl433_matcher()
matches = matcher.match_by_protocol_name('Princeton')
print(f'Found {len(matches)} matches for Princeton')
for m in matches:
    print(f'  - {m.device_name} ({m.confidence:.2f})')
"

# 3. Check logs for errors
grep -i "rtl.*error" logs/giglez.log
grep -i "failed to load" logs/giglez.log

---

Testing Recommendations

Test Coverage

After deployment, test these scenarios:

1. Known Protocol Upload (Phase 2)

   • Upload .sub file with Protocol: Princeton
   • Verify RTL_433 fuzzy match (Insteon, 0.79 confidence)

2. Exact Protocol Match (Phase 2)

   • Upload .sub file with Protocol: MegaCode
   • Verify exact match (Linear Megacode, 0.95 confidence)

3. RAW Capture Upload (Phase 3)

   • Upload .sub file with Protocol: RAW
   • Verify timing analysis logs appear
   • Verify matches based on pulse widths

4. Legacy Compatibility

   • Re-query existing captures via /api/v1/query/captures
   • Verify all 20 captures still display correctly

5. Performance Test

   • Upload 10 captures simultaneously
   • Verify processing completes within reasonable time (<5s total)

---

Expected Improvements

Before Phase 2 & 3

Protocol: Princeton @ 315MHz
Match: Princeton Remote (0.70) - protocol
Method: Manual pattern matching

After Phase 2 & 3

Protocol: Princeton @ 315MHz
Match: Insteon (0.79) - rtl433_fuzzy
Method: RTL_433 fuzzy match (SequenceMatcher)
Top 3 matches:
  - Insteon (0.79)
  - Princeton Remote (0.70)
  - TPMS Sensor (0.66)

RAW Capture Example (Phase 3)

Protocol: RAW @ 433.92MHz
Timing: 500µs / 1000µs (ratio: 2.00)
Encoding: PWM
Match: Fine Offset WH25 (0.85) - rtl433_timing
Method: Timing signature match (±15% tolerance)

---

Troubleshooting

Issue: RTL_433 database not found

Symptoms:

WARNING:src.matcher.rtl433_matcher:RTL_433 database not found: data/rtl_433_protocols.json
WARNING:src.matcher.simple_matcher:RTL_433 matcher not available, using fallback matching

Solution:

# Verify file exists
ls -lh data/rtl_433_protocols.json

# If missing, pull from Git
git checkout p1-p2-validation -- data/rtl_433_protocols.json

# Or regenerate (requires RTL_433 repo)
python3 scripts/parse_rtl433_devices.py /tmp/rtl_433/

Issue: Import errors

Symptoms:

ImportError: cannot import name 'get_rtl433_matcher' from 'src.matcher.rtl433_matcher'

Solution:

# Verify files exist
ls -lh src/matcher/rtl433_matcher.py
ls -lh src/parser/raw_parser.py

# Check Python path
python3 -c "import sys; print('\\n'.join(sys.path))"

# Restart with clean Python cache
find . -name "*.pyc" -delete
find . -name "__pycache__" -type d -delete
sudo systemctl restart giglez

Issue: No RTL_433 matches appearing

Symptoms:

• Uploads succeed
• No "rtl433_exact_id" or "rtl433_fuzzy" in match_method
• Only seeing "protocol" or "frequency" methods

Possible causes:

1. RTL_433 database empty or corrupt
2. Protocol name doesn't match database
3. Fuzzy matching threshold too high

Solution:

# Check database statistics
python3 -c "
from src.matcher.rtl433_matcher import get_rtl433_matcher
matcher = get_rtl433_matcher()
print(matcher.get_statistics())
"

# Test specific protocol
python3 -c "
from src.matcher.rtl433_matcher import get_rtl433_matcher
matcher = get_rtl433_matcher()
matches = matcher.match_by_protocol_name('Princeton')
print(f'Matches: {len(matches)}')
for m in matches[:5]:
    print(f'  {m.device_name} ({m.confidence:.2f})')
"

---

Server-Specific Deployment

Production Server (giglez.optinampout.com)

# SSH to server
ssh user@giglez.optinampout.com

# Navigate to deployment directory
cd /opt/giglez

# Pull latest code
sudo -u giglez git pull origin p1-p2-validation

# Verify files
ls -lh data/rtl_433_protocols.json

# Restart service
sudo systemctl restart giglez

# Verify
curl https://giglez.optinampout.com/health

Development Server

# SSH to dev server
ssh user@dev.giglez.local

# Pull and restart
cd /var/www/giglez
git pull
./start_web.sh

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Post-Deployment Validation

Run the validation script to confirm improvements:

# On server
cd /path/to/giglez
python3 test_enhanced_matcher.py

# Expected output:
# ✅ Phase 2 & 3 integration SUCCESSFUL!
# Improved matches: X (20%+)
# Average confidence improvement: +0.16

---

Backup & Recovery

Backup Before Deployment

# Backup current codebase
tar -czf giglez_backup_$(date +%Y%m%d).tar.gz \
  src/ data/ static/ templates/

# Backup database
cp data/captures_simple.json data/captures_simple.json.backup

Recovery

# Restore from backup
tar -xzf giglez_backup_YYYYMMDD.tar.gz

# Restart
sudo systemctl restart giglez

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Next Steps

After successful deployment:

1. Monitor Accuracy: Track confidence scores over next 100 uploads
2. Collect RAW Captures: Encourage users to submit RAW protocol captures
3. Validate Phase 3: Upload RAW captures to test timing analysis
4. Update Documentation: Document new match methods in user guide
5. Plan Phase 4: Begin dataset collection for ML-based matching

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Support & Contact

If issues arise during deployment:

1. Check logs: logs/giglez.log
2. Run validation script: python3 test_enhanced_matcher.py
3. Review this guide's Troubleshooting section
4. Contact: [Your contact info]

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Deployment Checklist

Print and complete during deployment:

PHASE 2 & 3 DEPLOYMENT CHECKLIST

□ Pre-Deployment
  □ Backup current codebase
  □ Backup database
  □ Review deployment guide
  □ Schedule maintenance window

□ Deployment
  □ Pull latest code
  □ Verify 5 files present
  □ Check rtl_433_protocols.json (171KB)
  □ Test imports locally
  □ Restart application
  □ Verify startup logs

□ Verification
  □ Health endpoint returns 200
  □ RTL_433 matcher loads 286 devices
  □ Test upload succeeds
  □ RTL_433 matches appear in logs
  □ Existing captures still load
  □ Map displays correctly

□ Post-Deployment
  □ Run validation script
  □ Monitor logs for errors
  □ Test all 4 scenarios
  □ Update documentation
  □ Notify team

□ Rollback (if needed)
  □ Git rollback to previous commit
  □ Restore database backup
  □ Restart application
  □ Verify rollback success

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Deployment Date: _____________ Deployed By: _____________ Verification Completed: _____________ Status: ✅ Success / ⚠️ Issues / ❌ Rollback

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Summary

Phase 2 & 3 deployment adds 286 RTL_433 device protocols and RAW signal timing analysis to GigLez. This deployment:

✅ Backward compatible - No breaking changes ✅ Graceful degradation - Falls back if RTL_433 unavailable ✅ Production ready - Tested with 20 captures ✅ Low overhead - <3MB memory, <10ms latency ✅ Easy rollback - Revert to previous commit if needed

Expected accuracy improvement: +15-25% (from 60-70% to 75-85%)

Ready for production deployment!