def values(tags, after):
sd_id = dataseries.SeriesDef.select_id_or_insert(
cd.report.report_id, tags,
dataseries.guess_series_spec(cd.report, cd.instances[0], 0, 0))
sd = dataseries.SeriesDef.select(cd.report.report_id, tags, sd_id)
res = dataseries.get_series_values_after(sd, cd.report, after)
return [sv.value for sv in res]
def _set_series_data(self,
data,
from_dt=None,
to_dt=None,
after=None,
limit=None):
data['series_data'] = []
series_def_list = dataseries.SeriesDef.select_multi(
self.tile.report_id,
[(self.tile.tags, sc['series_id'])
for sc in self.tile_options['series_configs']])
latest_instance_id = self.tile.report.fetch_latest_instance_id(
self.tile.tags)
for series_def, series_config in zip(
series_def_list, self.tile_options['series_configs']):
if not series_def:
log.warn(
'tile_data: series_def does not exist for report_id=%s series_config=%s',
self.tile.report_id, series_config)
continue
if from_dt is not None or to_dt is not None:
rows = dataseries.get_series_values(
series_def,
self.tile.report,
data['fetched_from_dt'],
data['fetched_to_dt'],
limit=limit or mqeconfig.MAX_SERIES_POINTS_IN_TILE,
latest_instance_id=latest_instance_id)
else:
assert after is not None
rows = dataseries.get_series_values_after(
series_def,
self.tile.report,
after,
limit or mqeconfig.MAX_SERIES_POINTS_IN_TILE,
latest_instance_id=latest_instance_id)
value_list = []
common_header = CommonValue()
for row in rows:
value_list.append(DataPoint.from_series_value(row))
if row.header:
common_header.present(row.header)
data['series_data'].append({
'series_id':
series_def.series_id,
'name':
series_def.series_spec.name(True),
'data_points':
value_list,
'common_header':
common_header.value,
})