Source code for pipeline.h.tasks.tsysflag.qa

import collections
import os

import pipeline.infrastructure.logging as logging
import pipeline.infrastructure.pipelineqa as pqa
import pipeline.infrastructure.utils as utils
import pipeline.qa.scorecalculator as qacalc
from . import resultobjects
from ..exportdata import aqua

LOG = logging.get_logger(__name__)


[docs]class TsysflagQAHandler(pqa.QAPlugin): """ QA handler for an uncontained TsysflagResult. """ result_cls = resultobjects.TsysflagResults child_cls = None
[docs] def handle(self, context, result): caltable = os.path.basename(result.inputs['caltable']) vis = os.path.basename(result.inputs['vis']) ms = context.observing_run.get_ms(vis) if result.task_incomplete_reason: score = pqa.QAScore(0.0, longmsg='Task ended prematurely', shortmsg='Task ended prematurely', vis=vis) new_origin = pqa.QAOrigin(metric_name='%TsysCaltableFlags', metric_score=score.origin.metric_score, metric_units='Percentage Tsys caltable newly flagged') score.origin = new_origin scores = [score] else: try: score = qacalc.score_fraction_newly_flagged(caltable, result.summaries, ms.basename) new_origin = pqa.QAOrigin(metric_name='%TsysCaltableFlags', metric_score=score.origin.metric_score, metric_units='Percentage Tsys caltable newly flagged') score.origin = new_origin scores = [score] except AttributeError: score = pqa.QAScore(0.0, longmsg='No flagging summaries available', shortmsg='No flag summaries', vis=vis) new_origin = pqa.QAOrigin(metric_name='%TsysCaltableFlags', metric_score=score.origin.metric_score, metric_units='Percentage Tsys caltable newly flagged') score.origin = new_origin scores = [score] result.qa.pool[:] = scores result.qa.all_unity_longmsg = 'No extra data was flagged in %s' % caltable
[docs]class TsysflagListQAHandler(pqa.QAPlugin): """ QA handler for a list containing TsysflagResults. """ result_cls = collections.Iterable child_cls = resultobjects.TsysflagResults
[docs] def handle(self, context, result): # collate the QAScores from each child result, pulling them into our # own QAscore list collated = utils.flatten([r.qa.pool for r in result]) result.qa.pool[:] = collated caltables = [r.inputs['caltable'] for r in result] longmsg = 'No extra data was flagged in %s'.format( utils.commafy(caltables, quotes=False, conjunction='or')) result.qa.all_unity_longmsg = longmsg
aqua_exporter = aqua.xml_generator_for_metric('%TsysCaltableFlags', '{:0.3%}') aqua.register_aqua_metric(aqua_exporter)