mke-sculib 2.4.5

MeerKAT Extension (SCU) (lib)rary for the MKE antennas and some basic simulators

.. highlight:: rst

============================ mke_sculib

MeerKAT Extension (MKE) (SCU) Science Computation Unit interface (lib)rary for the MKE antennas and some basic simulators

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Installing

.. code-block:: bash pip install mke-sculib

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Usage for Antenna Control:

In order to connect to the REST API of the Telescope SCU use the library as follows:

.. code-block:: python from mke_sculib.scu import scu as scu_api antenna_ip = '10.96.64.10' scu = scu_api(ip='134.104.22.44', port='8080', debug = False) print(scu) print(scu.determine_dish_type()) print(scu.version_acu)

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Usage as Simulator:

Using the simulator with the same script as used for operating the telescope can be achieved like this:

.. code-block:: python from mke_sculib.sim import plot_motion_pyplot as plot_motion

instead of THIS:

from mke_sculib.scu import scu

mpi = scu('134.104.22.44', '8080')

do THIS for simulation:

from mke_sculib.sim import scu_sim as scu mpi = scu()

After a test has been done, the whole test history can be plotted in pyplot via:

.. code-block:: python

show the history data

dfh = mpi.get_history_df(interval_ms = None) axs = plot_motion(dfh)

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Using the library within Test Scripts:

After installation, the library can be used to script automatic tests. A minimal example for a tracking test is given below:

.. code-block:: python

Init

import astropy.units as u from astropy.time import Time import numpy as np import pandas as pd

import matplotlib.pyplot as plt from mke_sculib.sim import plot_motion_pyplot as plot_motion from mke_sculib.sim import scu_sim as scu

mpi = scu()

Startup

mpi.unstow() mpi.wait_duration(30) # sec mpi.activate_dmc() mpi.wait_duration(wait10)

Move to starting az, el

mpi.abs_azimuth(-90, 3) # degree, degree / s mpi.abs_elevation(53, 1) # degree, degree / s mpi.wait_settle() mpi.wait_duration(5) # sec

move to Band 2

mpi.move_to_band('Band 2') mpi.wait_settle() mpi.wait_duration(wait5)

make a dummy tracking table

t = mpi.t_internal + (np.arange(5) * astropy.units.u.s) az = np.linspace(-90, -89, len(t)) el = np.linspace(53, 54, len(t))

start a tracking table

mpi.upload_track_table(t, az, el)

start logging for my testrun

mpi.start_logger('full_configuration')

wait for track table to finish

mpi.wait_duration(np.ptp(t) + 5)

shut down

mpi.stop_logger() mpi.wait_duration(5) mpi.deactivate_dmc() mpi.wait_duration(10) mpi.stow()

show the sessions data

df = mpi.get_session_as_df(interval_ms = 100) plot_motion(df) df.to_csv('testdata_acu.csv')

See also scripts for examples on how to use this library

HTTP Dummy server

This library has a dummy server with dashboard implemented which can run on any machine with anaconda installed.

See: servers for the examples.

NOTE: Change the absolut path in the files if necessary

.. code-block:: bash python /servers/dashboard.py