pyBROTlib
Python interface to BROT telescopes, talking to the telescope's TwinCAT/PLC control system over MQTT.
Installation
uv add pybrotlib
Usage
Connect a transport (currently MQTT) to a named telescope and drive it through the BROT
object:
import asyncio
from pybrotlib import BROT
from pybrotlib.transport import MQTTTransport
async def main() -> None:
transport = MQTTTransport(host="localhost", port=1883)
brot = BROT(transport, "MyTelescope")
# the transport needs its own task to receive telemetry/publish commands
asyncio.create_task(transport.run())
await asyncio.sleep(2) # give it a moment to connect and receive first telemetry
await brot.telescope.track(ra=10.5, dec=41.2)
print(brot.telescope.status)
asyncio.run(main())
transport.telemetry holds the live telemetry tree (see pybrotlib/telemetry.py), which is
kept up to date by messages received on <telescope>/.../Telemetry topics and read by the
component properties below.
Components
Each BROT instance exposes one component per subsystem, all constructed from the same
transport and telescope name:
telescope(BROTTelescope) — pointing (track,move), offsets (set_offset_ha,set_offset_dec,set_offset_alt,set_offset_az), power/park/stop/reset, and status (status,motion_state,global_status).focus(BROTFocus) —position,set(focus),powered,referenced.dome(BROTDome) — shutter/tracking state,open,close,start_tracking,stop_tracking,park,reset.roof(BROTRoof) — roll-off roof state,open,close,stop,reset.mirrorcovers(BROTMirrorCovers) —status,open,close.
All commands are fire-and-forget MQTT publishes; callers are expected to poll telemetry (directly, or via the component's status properties) to observe the result.
Development
uv sync --group dev
uv run pytest
1 maintainer
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