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Python interface for ka9q-radio control and monitoring

Project description

ka9q-python

PyPI version License: MIT

General-purpose Python library for controlling ka9q-radio

Control radiod channels for any application: AM/FM/SSB radio, WSPR monitoring, SuperDARN radar, CODAR oceanography, HF fax, satellite downlinks, and more.

Note: Package name is ka9q-python out of respect for KA9Q (Phil Karn's callsign). Import as import ka9q.

Table of Contents

Features

  • Complete radiod API — all 117 TLV status/command parameters exposed, generated from ka9q-radio's C headers
  • Every radiod RTP encoding decodedS16LE/BE, F32LE/BE, F16LE/BE, MULAW, ALAW via pure-NumPy parse_rtp_samples(); OPUS / OPUS_VOIP via the optional OpusDecoder (install with [opus] extra)
  • Four stream abstractionsRTPRecorder (raw packets), RadiodStream (samples + gap handling), ManagedStream (self-healing single channel), MultiStream (shared socket, many SSRCs)
  • Typed status decoderChannelStatus, FrontendStatus, PllStatus, etc. with dotted-path field access
  • Precise RTP timing — GPS_TIME / RTP_TIMESNAP for sample-accurate wallclock timestamps
  • LAN discovery — enumerate radiod instances and their active channels via mDNS
  • CLI + TUIka9q list / query / set / tui for interactive and scripted control
  • Multi-homed — explicit interface selection for hosts with multiple NICs
  • Protocol drift detection — pinned to a specific ka9q-radio commit, with a sync script
  • Pure Python — NumPy is the only runtime dependency

Installation

pip install ka9q-python

Optional extras:

Extra Adds Needed for
tui textual ka9q tui interactive terminal UI
opus opuslib decoding OPUS / OPUS_VOIP RTP payloads via OpusDecoder
dev pytest, pytest-cov running the test suite
pip install "ka9q-python[opus]"          # one extra
pip install "ka9q-python[tui,opus]"      # multiple

Or install from source:

git clone https://github.com/HamSCI/ka9q-python.git
cd ka9q-python
pip install -e .

Quick Start

Host selection: All examples reference bee1-hf-status.local, which is the default integration test radiod in this repo. Replace it with your own radiod host or set RADIOD_HOST, RADIOD_ADDRESS, or the --radiod-host pytest option when running in other environments.

Listen to AM Broadcast

from ka9q import RadiodControl

# Connect to radiod (default test host: bee1-hf-status.local)
control = RadiodControl("bee1-hf-status.local")

# Create AM channel on 10 MHz WWV
control.create_channel(
    ssrc=10000000,
    frequency_hz=10.0e6,
    preset="am",
    sample_rate=12000
)

# RTP stream now available with SSRC 10000000

Request Specific Output Encoding

from ka9q import RadiodControl, Encoding

control = RadiodControl("bee1-hf-status.local")

# Create a channel with 32-bit float output (highest quality)
control.ensure_channel(
    frequency_hz=14.074e6,
    preset="usb",
    sample_rate=12000,
    encoding=Encoding.F32
)

Monitor WSPR Bands

from ka9q import RadiodControl

control = RadiodControl("bee1-hf-status.local")

wspr_bands = [
    (1.8366e6, "160m"),
    (3.5686e6, "80m"),
    (7.0386e6, "40m"),
    (10.1387e6, "30m"),
    (14.0956e6, "20m"),
]

for freq, band in wspr_bands:
    control.create_channel(
        ssrc=int(freq),
        frequency_hz=freq,
        preset="usb",
        sample_rate=12000
    )
    print(f"{band} WSPR channel created")

Discover Existing Channels

from ka9q import discover_channels

channels = discover_channels("bee1-hf-status.local")
for ssrc, info in channels.items():
    print(f"{ssrc}: {info.frequency/1e6:.3f} MHz, {info.preset}, {info.sample_rate} Hz")

Record RTP Stream with Precise Timing

from ka9q import discover_channels, RTPRecorder
import time

# Get channel with timing info
channels = discover_channels("bee1-hf-status.local")
channel = channels[14074000]

# Define packet handler
def handle_packet(header, payload, wallclock):
    print(f"Packet at {wallclock}: {len(payload)} bytes")

# Create and start recorder
recorder = RTPRecorder(channel=channel, on_packet=handle_packet)
recorder.start()
recorder.start_recording()
time.sleep(60)  # Record for 60 seconds
recorder.stop_recording()
recorder.stop()

Multi-Homed Systems

For systems with multiple network interfaces, specify which interface to use:

from ka9q import RadiodControl, discover_channels

# Specify your interface IP address
my_interface = "192.168.1.100"

# Create control with specific interface
control = RadiodControl("bee1-hf-status.local", interface=my_interface)

# Discovery on specific interface
channels = discover_channels("bee1-hf-status.local", interface=my_interface)

Automatic Channel Recovery

ensure your channels survive radiod restarts:

from ka9q import RadiodControl, ChannelMonitor

control = RadiodControl("bee1-hf-status.local")
monitor = ChannelMonitor(control)
monitor.start()

# This channel will be automatically re-created if it disappears
monitor.monitor_channel(
    frequency_hz=14.074e6,
    preset="usb",
    sample_rate=12000
)

Channel Cleanup (frequency = 0)

radiod removes channels by polling for streams whose frequency is set to 0 Hz. Always call remove_channel(ssrc) (or explicitly set set_frequency(ssrc, 0.0) if you build TLVs yourself) when tearing down a stream so the background poller can reclaim it:

with RadiodControl("bee1-hf-status.local") as control:
    info = control.ensure_channel(
        frequency_hz=10e6,
        preset="iq",
        sample_rate=16000
    )

    # ... use channel ...

    control.remove_channel(info.ssrc)  # marks frequency=0

Note: remove_channel() finishes instantly on the client; radiod’s poller typically purges the channel within the next second.

ka9q-radio Compatibility

ka9q-python tracks a specific git commit of ka9q-radio to ensure its protocol definitions (StatusType, Encoding) match the C headers exactly. This prevents subtle bugs from protocol drift between the two projects.

How It Works

File Role
ka9q_radio_compat Plain-text pin recording the validated ka9q-radio commit hash
ka9q/compat.py Importable KA9Q_RADIO_COMMIT constant for deployment tooling
ka9q/types.py Auto-generated from ka9q-radio's status.h and rtp.h
scripts/sync_types.py The tool that parses C headers and regenerates types.py
tests/test_protocol_compat.py Drift test (runs automatically if ../ka9q-radio exists)

Checking for Drift

If you have the ka9q-radio source tree at ../ka9q-radio:

python scripts/sync_types.py --check    # CI mode: exits non-zero on drift
python scripts/sync_types.py --diff     # Preview changes without modifying anything

Syncing After ka9q-radio Updates

python scripts/sync_types.py --apply    # Regenerates types.py, updates pins
git diff ka9q/types.py                  # Review the changes
python -m pytest tests/                 # Verify nothing broke

The --apply mode updates three files atomically:

  1. ka9q/types.py — regenerated from the C headers
  2. ka9q_radio_compat — updated with the new commit hash
  3. ka9q/compat.py — updated with the new commit hash (importable)

For Deployment Tooling

ka9q-update (or any deployment tool) can read the pinned commit to ensure the correct radiod version is running:

from ka9q.compat import KA9Q_RADIO_COMMIT

print(f"This ka9q-python requires ka9q-radio at {KA9Q_RADIO_COMMIT[:12]}")

Running the Drift Test

The pytest drift test runs automatically as part of the test suite:

python -m pytest tests/test_protocol_compat.py -v

It auto-skips if ../ka9q-radio is not present, so CI environments without the C source tree are unaffected.

Documentation

Examples

See examples/ for runnable scripts:

Use Cases

See docs/RECIPES.md for worked examples of:

  • LAN probing — enumerate radiod instances and their active channels
  • Fixed-channel pipelines — WSPR, PSK/FT8, HF timing (bundled band plans, MultiStream); see companion projects wspr-recorder, psk-recorder, hf-timestd
  • Nimble channel switching — single-channel SWL-style retuning driven from the CLI or an app
  • SDR portability — ka9q-python talks to radiod, which talks to the SDR; reporting frontend capabilities via FrontendStatus. Primary tested frontend is the RX888; AirspyR2 and Airspy HF+ support is in development.

License

This project is licensed under the MIT License - see the LICENSE file for details.

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