import os
import pipeline.infrastructure as infrastructure
import pipeline.infrastructure.renderer.logger as logger
import pipeline.infrastructure.casa_tasks as casa_tasks
LOG = infrastructure.get_logger(__name__)
[docs]class swpowSummaryChart(object):
def __init__(self, context, result):
self.context = context
self.result = result
self.ms = context.observing_run.get_ms(result.inputs['vis'])
if result.sw_result.final:
self.caltable = result.sw_result.final[0].gaintable
else:
self.caltable = ''
[docs] def plot(self):
# science_spws = self.ms.get_spectral_windows(science_windows_only=True)
plots = [self.get_plot_wrapper('swpow_sample')]
return [p for p in plots if p is not None]
[docs] def create_plot(self, prefix):
figfile = self.get_figfile(prefix)
antPlot = '0~2'
plotmax = 100
job = casa_tasks.plotms(vis=self.caltable, xaxis='time', yaxis='amp', field='',
antenna=antPlot, spw='', timerange='',
plotrange=[0, 0, 0, plotmax], coloraxis='',
title='Switched Power swpow.tbl Antenna: {!s}'.format('0~2'),
titlefont=8, xaxisfont=7, yaxisfont=7, showgui=False, plotfile=figfile)
job.execute(dry_run=False)
[docs] def get_figfile(self, prefix):
return os.path.join(self.context.report_dir,
'stage%s' % self.result.stage_number,
'swpow' + prefix + '-%s-summary.png' % self.ms.basename)
[docs] def get_plot_wrapper(self, prefix):
figfile = self.get_figfile(prefix)
wrapper = logger.Plot(figfile,
x_axis='freq',
y_axis='amp',
parameters={'vis': self.ms.basename,
'type': prefix,
'spw': ''})
if not os.path.exists(figfile):
LOG.trace('swpow summary plot not found. Creating new '
'plot.')
try:
self.create_plot(prefix)
except Exception as ex:
LOG.error('Could not create ' + prefix + ' plot.')
LOG.exception(ex)
return None
return wrapper
[docs]class swpowPerAntennaChart(object):
def __init__(self, context, result, yaxis):
self.context = context
self.result = result
self.ms = context.observing_run.get_ms(result.inputs['vis'])
ms = self.ms
self.yaxis = yaxis
if result.sw_result.final:
self.caltable = result.sw_result.final[0].gaintable
else:
self.caltable = ''
self.json = {}
self.json_filename = os.path.join(context.report_dir,
'stage%s' % result.stage_number,
yaxis + 'swpow-%s.json' % ms)
[docs] def plot(self):
context = self.context
result = self.result
m = context.observing_run.measurement_sets[0]
numAntenna = len(m.antennas)
plots = []
LOG.info("Plotting swpowcal charts for " + self.yaxis)
nplots = numAntenna
for ii in range(nplots):
filename = 'swpow_' + self.yaxis + str(ii) + '.png'
antPlot = str(ii)
stage = 'stage%s' % result.stage_number
stage_dir = os.path.join(context.report_dir, stage)
# construct the relative filename, eg. 'stageX/testdelay0.png'
figfile = os.path.join(stage_dir, filename)
plotrange = []
if self.yaxis == 'spgain':
plotrange = [0, 0, 0, 1.0]
if self.yaxis == 'tsys':
plotrange = [0, 0, 0, 100]
spws = m.get_all_spectral_windows()
freqs = sorted({spw.max_frequency.value for spw in spws})
if float(max(freqs)) >= 18000000000.0:
plotrange = [0, 0, 0, 200]
if not os.path.exists(figfile):
try:
# Get antenna name
antName = antPlot
if antPlot != '':
domain_antennas = self.ms.get_antenna(antPlot)
idents = [a.name if a.name else a.id for a in domain_antennas]
antName = ','.join(idents)
LOG.debug("Switched Power Plot, using antenna={!s} and spw={!s}".format(antName,
self.result.sw_result.spw))
job = casa_tasks.plotms(vis=self.caltable, xaxis='time', yaxis=self.yaxis, field='',
antenna=antPlot, spw=self.result.sw_result.spw, timerange='',
plotrange=plotrange, coloraxis='',
title='Switched Power swpow.tbl Antenna: {!s}'.format(antName),
titlefont=8, xaxisfont=7, yaxisfont=7, showgui=False, plotfile=figfile,
xconnector='line')
job.execute(dry_run=False)
except Exception as ex:
LOG.warn("Unable to plot " + filename)
else:
LOG.debug('Using existing ' + filename + ' plot.')
try:
plot = logger.Plot(figfile, x_axis='Time', y_axis=self.yaxis.title(), field='',
parameters={'spw': '',
'pol': '',
'ant': antName,
'type': self.yaxis,
'file': os.path.basename(figfile)})
plots.append(plot)
except Exception as ex:
LOG.warn("Unable to add plot to stack")
plots.append(None)
return [p for p in plots if p is not None]