def get_plot_data(self, started=None, ended=None, choice_ids=None, columns=None):
"""See :meth:`metrics.registry.MetricsTypeProvider.get_plot_data`."""
# Fetch all the matching job type metrics based on query filters
entries = MetricsJobType.objects.all().order_by('occurred')
if started:
entries = entries.filter(occurred__gte=started)
if ended:
entries = entries.filter(occurred__lte=ended)
if choice_ids:
entries = entries.filter(job_type_id__in=choice_ids)
if not columns:
columns = self.get_metrics_type().columns
column_names = [c.name for c in columns]
entries = entries.values('job_type_id', 'occurred', *column_names)
# Convert the database models to plot models
return MetricsPlotData.create(entries, 'occurred', 'job_type_id', choice_ids, columns)
def get_plot_data(self, started=None, ended=None, choice_ids=None, columns=None):
'''See :meth:`metrics.registry.MetricsTypeProvider.get_plot_data`.'''
# Fetch all the matching job type metrics based on query filters
entries = MetricsJobType.objects.all().order_by('occurred')
if started:
entries = entries.filter(occurred__gte=started)
if ended:
entries = entries.filter(occurred__lte=ended)
if choice_ids:
entries = entries.filter(job_type_id__in=choice_ids)
if not columns:
columns = self.get_metrics_type().columns
column_names = [c.name for c in columns]
entries = entries.values('job_type_id', 'occurred', *column_names)
# Convert the database models to plot models
return MetricsPlotData.create(entries, 'occurred', 'job_type_id', choice_ids, columns)
def get_plot_data(self, started=None, ended=None, choice_ids=None, columns=None):
"""See :meth:`metrics.registry.MetricsTypeProvider.get_plot_data`."""
# Fetch all the matching ingest metrics based on query filters
entries = MetricsIngest.objects.all().order_by("occurred")
if started:
entries = entries.filter(occurred__gte=started)
if ended:
entries = entries.filter(occurred__lte=ended)
if choice_ids:
entries = entries.filter(strike_id__in=choice_ids)
if not columns:
columns = self.get_metrics_type().columns
column_names = [c.name for c in columns]
entries = entries.values("strike_id", "occurred", *column_names)
# Convert the database models to plot models
return MetricsPlotData.create(entries, "occurred", "strike_id", choice_ids, columns)
