def perform(self):
"""
Main perform to do all necessary calculations for indicator.
Returns: List of Records with lines per project and client_line for overall planning.
"""
df = self.aggregate(
df=self.apply_business_rules(),
by=["project", "hasdatum"],
agg_function="size",
)
line_list = []
record_list = RecordList()
if not df.empty:
for project, df in df.groupby(level=0):
if len(df):
line_project = self._make_project_line(project=project,
df=df)
record_list.append(self.to_record(line_project))
line_list.append(line_project)
line_client = concat(line_list,
name=self.indicator_name,
project="client_aggregate")
record_list.append(self.to_record(line_client))
return record_list
def perform(self):
"""
Main perform to do all necessary calculations for indicator.
Returns: List of Records with line per project.
"""
df = self.apply_business_rules()
line_list = []
record_list = RecordList()
if not df.empty:
for project, df in df.groupby(level=0):
if len(df):
line_project = self._make_project_line(project=project,
df=df)
line_list.append(line_project)
record_list.append(self.to_record(line_project))
line_client = concat(line_list,
name=self.indicator_name,
project="client_aggregate")
record_list.append(self.to_record(line_client))
return record_list
def perform(self):
"""Adds for each project a record to the record_list that contains the line made at _make_project_line.
Returns:
List of records which are ready for sending to the firestore.
"""
line_list = []
record_list = RecordList()
for project in self.project_info:
line_project = self._make_project_line(project)
if line_project:
line_list.append(line_project)
record_list.append(self.to_record(line_project))
if line_list:
line_client = concat(line_list,
name=self.indicator_name,
project="client_aggregate")
line_list.append(line_client)
record_list.append(self.to_record(line_client))
return record_list
def perform(self):
"""
Main perform to do all necessary calculations for indicator.
Returns: List of Records with lines per project.
"""
df = self.aggregate(df=self.apply_business_rules())
line_list = []
record_list = RecordList()
if not df.empty:
for project, timeseries in df.groupby(level=0):
if len(timeseries):
if self.type_total_amount:
max_value = self.project_info[project][self.type_total_amount]
else:
max_value = None
line_project = TimeseriesLine(
data=timeseries.droplevel(0),
name=self.indicator_name,
max_value=max_value,
project=project,
)
line_list.append(line_project)
record_list.append(self.to_record(line_project))
line_client = concat(
line_list, name=self.indicator_name, project="client_aggregate"
)
line_list.append(line_client)
record_list.append(self.to_record(line_client))
if self.return_lines:
return line_list
else:
return record_list