9756538f16
Organizes 11 projects for Cerbo GX/Venus OS into a single repository: - axiom-nmea: Raymarine LightHouse protocol decoder - dbus-generator-ramp: Generator current ramp controller - dbus-lightning: Blitzortung lightning monitor - dbus-meteoblue-forecast: Meteoblue weather forecast - dbus-no-foreign-land: noforeignland.com tracking - dbus-tides: Tide prediction from depth + harmonics - dbus-vrm-history: VRM cloud history proxy - dbus-windy-station: Windy.com weather upload - mfd-custom-app: MFD app deployment package - venus-html5-app: Custom Victron HTML5 app fork - watermaker: Watermaker PLC control UI Adds root README, .gitignore, project template, and per-project .gitignore files. Sensitive config files excluded via .gitignore with .example templates provided. Made-with: Cursor
134 lines
3.7 KiB
Python
134 lines
3.7 KiB
Python
#!/usr/bin/env python3
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"""
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PCAP to NMEA Conversion Example
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This example demonstrates how to use the raymarine_nmea library to
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read Raymarine packets from a PCAP file and generate NMEA sentences.
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Useful for:
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- Testing without a live Raymarine network
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- Analyzing captured data
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- Generating NMEA data for replay
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Usage:
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python pcap_to_nmea.py capture.pcap
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# Output JSON instead of NMEA
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python pcap_to_nmea.py capture.pcap --json
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# Output specific sentence types only
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python pcap_to_nmea.py capture.pcap --sentences gga,mwd,mtw
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"""
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import argparse
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import json
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import os
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import sys
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from pathlib import Path
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# Add repo root to path for development
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sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent))
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from raymarine_nmea import (
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RaymarineDecoder,
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SensorData,
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NMEAGenerator,
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)
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from raymarine_nmea.listeners import PcapReader
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def main():
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parser = argparse.ArgumentParser(
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description="Convert Raymarine PCAP to NMEA sentences"
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)
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parser.add_argument(
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'pcap',
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help='Path to PCAP file'
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)
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parser.add_argument(
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'--json',
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action='store_true',
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help='Output JSON instead of NMEA'
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)
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parser.add_argument(
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'--sentences',
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help='Comma-separated list of sentence types to output'
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)
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parser.add_argument(
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'-v', '--verbose',
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action='store_true',
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help='Verbose output (show decode progress)'
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)
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args = parser.parse_args()
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# Check file exists
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if not os.path.exists(args.pcap):
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print(f"Error: File not found: {args.pcap}")
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sys.exit(1)
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# Read PCAP
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print(f"Reading {args.pcap}...", file=sys.stderr)
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reader = PcapReader(args.pcap)
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print(f"Found {len(reader)} packets", file=sys.stderr)
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# Decode all packets
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decoder = RaymarineDecoder(verbose=args.verbose)
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data = SensorData()
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decoded_count = 0
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for packet in reader:
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result = decoder.decode(packet)
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if result.has_data():
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decoded_count += 1
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data.update(result)
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print(f"Decoded {decoded_count} packets with data", file=sys.stderr)
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# Output format
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if args.json:
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# JSON output
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print(json.dumps(data.to_dict(), indent=2))
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else:
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# NMEA output
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generator = NMEAGenerator()
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# Filter sentences if specified
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if args.sentences:
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enabled = set(s.strip().lower() for s in args.sentences.split(','))
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generator.enabled = enabled
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sentences = generator.generate_all(data)
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if sentences:
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print("\n# Generated NMEA sentences:", file=sys.stderr)
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for sentence in sentences:
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print(sentence, end='')
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else:
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print("No NMEA sentences generated (no valid data)", file=sys.stderr)
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# Summary
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print("\n# Summary:", file=sys.stderr)
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print(f"# Packets: {data.packet_count}", file=sys.stderr)
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print(f"# Decoded: {data.decode_count}", file=sys.stderr)
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with data._lock:
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if data.latitude:
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print(f"# GPS: {data.latitude:.6f}, {data.longitude:.6f}",
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file=sys.stderr)
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if data.heading_deg:
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print(f"# Heading: {data.heading_deg:.1f}°", file=sys.stderr)
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if data.twd_deg:
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print(f"# Wind: {data.tws_kts:.1f} kts @ {data.twd_deg:.1f}°",
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file=sys.stderr)
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if data.depth_m:
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print(f"# Depth: {data.depth_m:.1f} m", file=sys.stderr)
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if data.tanks:
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print(f"# Tanks: {len(data.tanks)}", file=sys.stderr)
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if data.batteries:
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print(f"# Batteries: {len(data.batteries)}", file=sys.stderr)
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if __name__ == "__main__":
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main()
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