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 plotsummary
LOG = logging.get_logger(__name__)
[docs]class PlotSummaryQAHandler(pqa.QAPlugin):
result_cls = plotsummary.PlotSummaryResults
child_cls = None
generating_task = plotsummary.PlotSummary
[docs] def handle(self, context, result):
# Check for existence of the the target MS.
score1 = self._ms_exists(os.path.dirname(result.inputs['vis']), os.path.basename(result.inputs['vis']))
scores = [score1]
result.qa.pool.extend(scores)
def _ms_exists(self, output_dir, ms):
"""
Check for the existence of the target MS
"""
return qacalc.score_path_exists(output_dir, ms, 'Plotsummary')
[docs]class PlotSummaryListQAHandler(pqa.QAPlugin):
"""
QA handler for a list containing PlotSummaryResults.
"""
result_cls = collections.Iterable
child_cls = plotsummary.PlotSummaryResults
generating_task = plotsummary.PlotSummary
[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
mses = [r.inputs['vis'] for r in result]
longmsg = 'No missing target MS(s) for %s' % utils.commafy(mses, quotes=False, conjunction='or')
result.qa.all_unity_longmsg = longmsg