def get_coverage_dict(P_COUNTRY_MODE):
# Build the dictionary of dicts
dict_esri_coverage = dataiku_esri_content_utils.get_esri_coverage()
dict_esri_coverage_structure = dict()
for i in range(0, len(dict_esri_coverage['country'])):
co = dict_esri_coverage['country'][i]
i3 = dict_esri_coverage[u'isocode3'][i]
i2 = dict_esri_coverage[u'isocode2'][i]
structure = {u'attributes':
{u'isocode3': i3
,u'isocode2': i2
,u'country': co
,u'comment': dict_esri_coverage[u'comment'][i]
,u'content_as_of': dict_esri_coverage[u'esri_content_as_of'][i]
,u'datacollections': {
u'generic_datacollections': dict_esri_coverage[u'generic_datacollections'][i]
}}}
if P_COUNTRY_MODE =='full_name':
dict_esri_coverage_structure[co]=structure
elif P_COUNTRY_MODE =='isocode3':
dict_esri_coverage_structure[i3]=structure
elif P_COUNTRY_MODE =='isocode2':
dict_esri_coverage_structure[i2]=structure
return dict_esri_coverage_structure
def get_coverage_dict(P_COUNTRY_MODE):
# Build the dictionary of dicts
dict_esri_coverage = dataiku_esri_content_utils.get_esri_coverage()
dict_esri_coverage_structure = dict()
for i in range(0, len(dict_esri_coverage['country'])):
co = dict_esri_coverage['country'][i]
i3 = dict_esri_coverage[u'isocode3'][i]
i2 = dict_esri_coverage[u'isocode2'][i]
structure = {
u'attributes': {
u'isocode3': i3,
u'isocode2': i2,
u'country': co,
u'comment': dict_esri_coverage[u'comment'][i],
u'content_as_of': dict_esri_coverage[u'esri_content_as_of'][i],
u'datacollections': {
u'generic_datacollections':
dict_esri_coverage[u'generic_datacollections'][i]
}
}
}
if P_COUNTRY_MODE == 'full_name':
dict_esri_coverage_structure[co] = structure
elif P_COUNTRY_MODE == 'isocode3':
dict_esri_coverage_structure[i3] = structure
elif P_COUNTRY_MODE == 'isocode2':
dict_esri_coverage_structure[i2] = structure
return dict_esri_coverage_structure
def generate_rows(self, dataset_schema=None, dataset_partitioning=None,
partition_id=None, records_limit = -1):
d = dataiku_esri_content_utils.get_esri_coverage()
df = pd.DataFrame(d)
df['dataset_created_by_user_at'] = datetime.now().strftime('%Y-%m-%d %H:%M:%S')
for rec in df.to_dict('records'):
yield rec
