def main(argv):
parser = argparse.ArgumentParser(
description=
'spectrum analyser emulation based on RTCE log file playback. Creates a series of png'
)
parser.add_argument('-p',
'--path',
help='path to sbc_rtce_monitor.csv',
required=False)
parser.add_argument('-c',
'--columns',
help='path to sbc_rtce_monitor.headers',
required=False)
parser.add_argument('-b',
'--beginTime',
help='begin time eg 2018-01-15T11:23:59',
required=False)
parser.add_argument('-e',
'--endTime',
help='end time eg 2018-01-15T12:23:59',
required=False)
args = vars(parser.parse_args())
path = args['path']
header_path = args['columns']
startDateTime = args['beginTime']
stopDateTime = args['endTime']
if path is None:
path = "./sbc_rtce_monitor.csv"
if header_path is None:
header_path = "../tests/sbc_rtce_monitor.headers"
if startDateTime is None:
startDateTime = "1977-06-02T13:45:30"
if stopDateTime is None:
stopDateTime = "2200-06-15T13:45:30"
df = rtce.load_rtce_log(rtce_path=path, rtce_header_path=header_path)
df.pipe(rtce.plot_spectrum, startDateTime, stopDateTime)
def main(argv):
parser = argparse.ArgumentParser(description='get overview of logon attempts for terminals')
parser.add_argument('-p','--path', help='path to sbc_rtce_monitor.csv', required=False)
parser.add_argument('-c','--columns', help='path to sbc_rtce_monitor.headers', required=False)
args = vars(parser.parse_args())
path = args['path']
header_path = args['columns']
if path is None:
path="./sbc_rtce_monitor.csv"
if header_path is None:
header_path="../tests/sbc_rtce_monitor.headers"
df = rtce.load_rtce_log(path, header_path)
# filter to display terminals only when they are logging on
df = df.pipe(rtce.filter_loggingon)
df = df.reset_index()
# print the logon attempts vs time, for all terminal id's
df.pipe(hrc.plot_str_utc_sof,'name')
id_list = df['id'].unique()
print(str(len(id_list)) + " unique terminal id\'s in log:")
print(id_list)
def main(argv):
parser = argparse.ArgumentParser(description='check variuous power control related parameters')
parser.add_argument('-t','--terminal_id', help='for terminal_123 the required id to be passed as argument is 123', required=False)
parser.add_argument('-p','--path', help='path to sbc_rtce_monitor.csv', required=False)
parser.add_argument('-c','--columns', help='path to sbc_rtce_monitor.headers', required=False)
args = vars(parser.parse_args())
idsubstring = args['terminal_id']
print(idsubstring)
path = args['path']
header_path = args['columns']
if idsubstring is None:
idsubstring = "15843"
if path is None:
path="../tests/sbc_rtce_monitor.csv"
if header_path is None:
header_path="../tests/sbc_rtce_monitor.headers"
# replace path to appropriate location for your analysis
df = rtce.load_rtce_log(path, header_path)
# filter on a terminal
df = df.pipe(rtce.filter_name, idsubstring).pipe(rtce.filter_loggedon)
print(df.head())
print(df.info()) # gives an idea what can be asked to plot
df.pipe(hrc.plot_utc_sof,'Next.TxPSD','txPsdLimit')
plt.title('applied TX PSD and TX PSD limit imposed by API with BC',y=1.1)
plt.show()
df.pipe(hrc.plot_utc_sof,'fbRequestedPower','fbAppliedPower','reportedPuSat')
plt.title('requested power by hub, applied power by terminal and saturated power according to API with BC',y=1.1)
plt.show()
df.pipe(hrc.plot_utc_sof,'MCD.Co','STA.BepdClrSky','STA.AvgNo')
plt.title('RX PSD, RX BEPD calibration and RX noise',y=1.1)
plt.show()
df.pipe(hrc.plot_utc_sof,'MCD.EsNo')
df.pipe(hrc.plot_utc_sof,'STA.G','fbRequestedPower')
plt.title('path gain (between TX PSD and RX PSD)',y=1.1)
plt.show()
df.pipe(hrc.plot_utc_sof,'STA.G','STA.AcmMrg','STA.AcmMarginForEirpPsdLimitVariation')
plt.title('path gain (between TX PSD and RX PSD) and ACM margin',y=1.1)
plt.show()
df.pipe(hrc.plot_xcor,'fbAppliedPower','STA.G')
plt.title('applied Tx power vs measured path gain',y=1.1)
plt.show()
df.pipe(hrc.plot_utc_sof,'reportedPuSat','STA.PuSat')
plt.title('power control API saturated power field vs own saturated power estimate',y=1.1)
plt.show()
# -*- coding: utf-8 -*-
"""
Created on Sat Jan 13 23:53:29 2018
@author: aro
"""
import os
import sys
sys.path.insert(0,
os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
import hrclogutils.rtce as rtce
df = rtce.load_rtce_log()
dfpivot = df.pipe(rtce.terminal_averages, 'fbAppliedPower', 'reportedPuSat')
print(dfpivot)