def create_question(post_dict, dbm):
options = post_dict.get('options')
datadict_type = options.get('ddtype') if options is not None else None
if is_not_empty(datadict_type):
# question already has a data dict type
datadict_slug = datadict_type.get('slug')
else:
datadict_slug = str(slugify(unicode(post_dict.get('title'))))
ddtype = get_or_create_data_dict(dbm=dbm,
name=post_dict.get('code'),
slug=datadict_slug,
primitive_type=post_dict.get('type'),
description=post_dict.get('title'))
if post_dict["type"] == "text":
return _create_text_question(post_dict, ddtype)
if post_dict["type"] == "integer":
return _create_integer_question(post_dict, ddtype)
if post_dict["type"] == "geocode":
return _create_geo_code_question(post_dict, ddtype)
if post_dict["type"] == "select":
return _create_select_question(post_dict,
single_select_flag=False,
ddtype=ddtype)
if post_dict["type"] == "date":
return _create_date_question(post_dict, ddtype)
if post_dict["type"] == "select1":
return _create_select_question(post_dict,
single_select_flag=True,
ddtype=ddtype)
def _get_ddtype(self, post_dict):
options = post_dict.get('options')
datadict_type = options.get('ddtype') if options is not None else None
if is_not_empty(datadict_type):
# question already has a data dict type
datadict_slug = datadict_type.get('slug')
else:
datadict_slug = str(slugify(unicode(post_dict.get('title'))))
ddtype = self._get_or_create_data_dict(
name=post_dict.get('code'),
slug=datadict_slug,
primitive_type=post_dict.get('type'),
description=post_dict.get('title'))
return ddtype
print "%d LGAs failed to load:" % len(lga_failed)
for lga in lga_failed:
print "\t%s" % lga
if load_mdg:
print "Adding MDG indicator data..."
print "Adding data from 'Education MDG Data' worksheet"
lga_loaded = []
lga_failed = []
for i, row in enumerate(nims_data['Education MDG Data']):
if i > max_mdg_to_import:
break
raw_slug = get_string('indicator', row)
if not raw_slug: continue
slug = str(slugify(unicode(raw_slug, 'utf-8')))
name = get_string('indicator', row)
lga = get_string('lga', row)
state = get_string('state', row)
mdg = get_string('mdg', row)
value = get_string('value', row)
location = ("Nigeria", state, lga)
if not slug in datadict_types:
dd_type = create_datadict_type(
dbm,
slug=slug,
name=name,
primitive_type='number',
tags=['Education', 'MDG']
)
datadict_types[slug] = dd_type.id
print "%d LGAs failed to load:" % len(lga_failed)
for lga in lga_failed:
print "\t%s" % lga
if load_mdg:
print "Adding MDG indicator data..."
print "Adding data from 'Education MDG Data' worksheet"
lga_loaded = []
lga_failed = []
for i, row in enumerate(nims_data['Education MDG Data']):
if i > max_mdg_to_import:
break
raw_slug = get_string('indicator', row)
if not raw_slug: continue
slug = str(slugify(unicode(raw_slug, 'utf-8')))
name = get_string('indicator', row)
lga = get_string('lga', row)
state = get_string('state', row)
mdg = get_string('mdg', row)
value = get_string('value', row)
location = ("Nigeria", state, lga)
if not slug in datadict_types:
dd_type = create_datadict_type(dbm,
slug=slug,
name=name,
primitive_type='number',
tags=['Education', 'MDG'])
datadict_types[slug] = dd_type.id
data = [(slug, value,
get_datadict_type(dbm, datadict_types[slug]))]
