def headers(self):
"""
Override the headers method to be able to add male/female sub
header columns.
"""
header_columns = []
for idx, column in enumerate(self.columns):
if idx >= self.first_indicator_column_index() and self.show_gender(
):
group = DataTablesColumnGroup(column.header)
group.add_column(DataTablesColumn("male", sortable=False))
group.add_column(DataTablesColumn("female", sortable=False))
header_columns.append(group)
else:
# gender is included in the columns to populate data
# but we don't show it on the page
if column.header != 'Gender':
header_columns.append(
DataTablesColumn(column.header, sortable=False))
# insert a blank header to display the "all genders/ages" message
if not self.show_gender() and not self.show_age():
header_columns.insert(1, DataTablesColumn('', sortable=False))
return DataTablesHeader(*header_columns)
def headers(self, data):
column_headers = []
groupped_headers = [
list(v) for l, v in groupby(
sorted(data.keys(), key=lambda x: x[2]), lambda x: x[2])
]
for domain in groupped_headers:
groupped_practices = [
list(v) for l, v in groupby(sorted(domain, key=lambda x: x[3]),
lambda x: x[3])
]
domain_group = DataTablesColumnGroup(
self.group_name_fn(domain[0][2]))
for practice in groupped_practices:
domain_group.add_column(
DataTablesColumn(self.group_name_fn(practice[0][3])))
column_headers.append(domain_group)
column_headers = sorted(column_headers, key=lambda x: x.html)
i = 1
for column in column_headers:
for j in range(0, len(column.columns)):
column.columns[j] = DataTablesColumn(
'Practice ' + i.__str__(),
help_text=column.columns[j].html)
i += 1
return column_headers
def headers(self, data):
column_headers = []
i = 1
for domain in self.domains_with_practices:
domain_group = DataTablesColumnGroup(domain['text'])
for practice in domain['practices']:
domain_group.add_column(DataTablesColumn('Practice %i' % i, help_text=practice.text))
i += 1
column_headers.append(domain_group)
return column_headers
def headers(self, data):
column_headers = []
groupped_headers = [list(v) for l,v in groupby(sorted(data.keys(), key=lambda x:x[2]), lambda x: x[2])]
for domain in groupped_headers:
groupped_practices = [list(v) for l,v in groupby(sorted(domain, key=lambda x:x[3]), lambda x: x[3])]
domain_group = DataTablesColumnGroup(self.group_name_fn(domain[0][2]))
for practice in groupped_practices:
domain_group.add_column(DataTablesColumn(self.group_name_fn(practice[0][3])))
column_headers.append(domain_group)
column_headers = sorted(column_headers, key=lambda x: x.html)
return column_headers
def headers(self):
chw = DataTablesColumn("CHW Name")
sections = list()
for i, section in enumerate(self.indicator_slugs):
col_group = DataTablesColumnGroup(section.get('title', ''))
for j, indicator in enumerate(self.indicators[i]):
col_group.add_column(
DataTablesColumn(
indicator.title or indicator.description,
rotate=True,
expected=section.get('indicators',
[])[j].get('expected'),
))
sections.append(col_group)
return DataTablesHeader(chw, *sections)
def headers(self):
chw = DataTablesColumn("CHW Name")
sections = list()
for i, section in enumerate(self.indicator_slugs):
col_group = DataTablesColumnGroup(section.get("title", ""))
for j, indicator in enumerate(self.indicators[i]):
col_group.add_column(
DataTablesColumn(
indicator.title or indicator.description,
rotate=True,
expected=section.get("indicators", [])[j].get("expected"),
)
)
sections.append(col_group)
return DataTablesHeader(chw, *sections)
def headers(self, data):
column_headers = []
groupped_headers = [list(v) for l,v in groupby(sorted(data.keys(), key=lambda x:x[2]), lambda x: x[2])]
for domain in groupped_headers:
groupped_practices = [list(v) for l,v in groupby(sorted(domain, key=lambda x:x[3]), lambda x: x[3])]
domain_group = DataTablesColumnGroup(self.group_name_fn(domain[0][2]))
for practice in groupped_practices:
domain_group.add_column(DataTablesColumn(self.group_name_fn(practice[0][3])))
column_headers.append(domain_group)
column_headers = sorted(column_headers, key=lambda x: x.html)
i = 1
for column in column_headers:
for j in range(0, len(column.columns)):
column.columns[j] = DataTablesColumn('Practice ' + i.__str__(), help_text=column.columns[j].html)
i += 1
return column_headers
def headers(self):
"""
Override the headers method to be able to add male/female sub
header columns.
"""
header_columns = []
for idx, column in enumerate(self.columns):
if idx >= self.first_indicator_column_index() and self.show_gender():
group = DataTablesColumnGroup(column.header)
group.add_column(DataTablesColumn("male", sortable=False))
group.add_column(DataTablesColumn("female", sortable=False))
header_columns.append(group)
else:
# gender is included in the columns to populate data
# but we don't show it on the page
if column.header != 'Gender':
header_columns.append(DataTablesColumn(column.header, sortable=False))
# insert a blank header to display the "all genders/ages" message
if not self.show_gender() and not self.show_age():
header_columns.insert(1, DataTablesColumn('', sortable=False))
return DataTablesHeader(*header_columns)
