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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

Metadata

Release files for pyBROTlib 1.2.1

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