def build(analyzed_entity, operation, datatype_group, metrics='{"v": 3}'):
measure = DatatypeMeasureIndex()
measure.metrics = metrics
measure.source = analyzed_entity
measure.fk_from_operation = operation.id
measure.fk_datatype_group = datatype_group.id
measure = dao.store_entity(measure)
return measure
def prepare_index_for_metric_result(self, operation, result_filename,
burst):
self.logger.debug(
"Preparing index for metric result in operation {}...".format(
operation.id))
index = DatatypeMeasureIndex()
with DatatypeMeasureH5(result_filename) as dti_h5:
index.gid = dti_h5.gid.load().hex
index.metrics = json.dumps(dti_h5.metrics.load())
index.fk_source_gid = dti_h5.analyzed_datatype.load().hex
index.fk_from_operation = operation.id
index.fk_parent_burst = burst.gid
datatype_group = dao.get_datatypegroup_by_op_group_id(
operation.fk_operation_group)
self.logger.debug(
"Found DatatypeGroup with id {} for operation {}".format(
datatype_group.id, operation.id))
index.fk_datatype_group = datatype_group.id
self.logger.debug(
"Prepared index {} for results in operation {}...".format(
index.summary_info, operation.id))
return index
def build(analyzed_entity_index, analyzed_entity, operation, datatype_group, metrics='{"v": 3}'):
measure = DatatypeMeasureIndex()
measure.metrics = metrics
measure.source = analyzed_entity_index
measure.fk_from_operation = operation.id
measure.fk_datatype_group = datatype_group.id
measure = dao.store_entity(measure)
dm = DatatypeMeasure(analyzed_datatype=analyzed_entity, metrics=json.loads(metrics))
dm_path = h5.path_for_stored_index(measure)
with DatatypeMeasureH5(dm_path) as dm_h5:
dm_h5.store(dm)
dm_h5.store_generic_attributes(GenericAttributes())
return measure