def process_geo_json():
'''
Depending on the values put in the COUNTRY_LIST, we pull shapes from
The highcharts map repository. This will give us shapes for admin level 1
for the countries we specify.
'''
for c in settings.COUNTRY_LIST:
create_country_meta_data(c)
minify_geo_json()
def setUp(self):
super(GeoResourceTest, self).setUp()
self.ts = TestSetupHelpers()
self.lt = LocationType.objects.create(name='Region', admin_level=1)
self.distr, created = \
LocationType.objects.get_or_create(name='District',admin_level = 2)
self.planet_location_type = LocationType.objects\
.create(name = 'Planet', admin_level = 0)
self.ultimate_parent = Location.objects.create(
id=1,
name='Earth',
location_code='Earth',
location_type_id=self.planet_location_type.id)
location_df_from_csv = read_csv(
'rhizome/tests/_data/locations_nimroz.csv')
self.ts.model_df_to_data(location_df_from_csv, Location)
# make sure that the proper level is set for the
locs = Location.objects.filter(parent_location_id=6)
for loc in locs:
loc.location_type_id = self.distr.id
loc.save()
parent = Location.objects.get(id=6)
parent.location_type_id = self.lt.id
parent.save()
geo_json_df = read_csv('rhizome/tests/_data/geo_json_small.txt',
delimiter="|")
location_df = DataFrame(list(Location.objects.all()\
.values_list('id','location_code')),columns=['location_id','location_code'])
location_tree_df = DataFrame(list(Location.objects.all()\
.values_list('id','parent_location_id'))\
,columns=['location_id','parent_location_id'])
location_tree_df['parent_location_id'].fillna(self.ultimate_parent.id,\
inplace=True)
location_tree_df['lvl'] = Series(1, index=location_tree_df.index)
self.ts.model_df_to_data(location_tree_df, LocationTree)
merged_df = location_df.merge(geo_json_df)[['location_id', 'geo_json']]
self.ts.model_df_to_data(merged_df, LocationPolygon)
minify_geo_json()
LocationPermission.objects.create(user_id=self.ts.user.id,
top_lvl_location_id=1)
def setUp(self):
super(GeoResourceTest, self).setUp()
self.ts = TestSetupHelpers()
self.lt = LocationType.objects.create(name='Region',admin_level=1)
self.distr, created = \
LocationType.objects.get_or_create(name='District',admin_level = 2)
self.planet_location_type = LocationType.objects\
.create(name = 'Planet', admin_level = 0)
self.ultimate_parent = Location.objects.create(
id = 1,
name = 'Earth',
location_code = 'Earth',
location_type_id = self.planet_location_type.id
)
location_df_from_csv= read_csv('rhizome/tests/_data/locations_nimroz.csv')
self.ts.model_df_to_data(location_df_from_csv,Location)
# make sure that the proper level is set for the
locs = Location.objects.filter(parent_location_id=6)
for loc in locs:
loc.location_type_id = self.distr.id
loc.save()
parent = Location.objects.get(id=6)
parent.location_type_id = self.lt.id
parent.save()
geo_json_df = read_csv('rhizome/tests/_data/geo_json_small.txt',delimiter = "|")
location_df = DataFrame(list(Location.objects.all()\
.values_list('id','location_code')),columns=['location_id','location_code'])
location_tree_df = DataFrame(list(Location.objects.all()\
.values_list('id','parent_location_id'))\
,columns=['location_id','parent_location_id'])
location_tree_df['parent_location_id'].fillna(self.ultimate_parent.id,\
inplace=True)
location_tree_df['lvl'] = Series(1, index=location_tree_df.index)
self.ts.model_df_to_data(location_tree_df, LocationTree)
merged_df = location_df.merge(geo_json_df)[['location_id','geo_json']]
self.ts.model_df_to_data(merged_df, LocationPolygon)
minify_geo_json()
LocationPermission.objects.create(user_id = self.ts.user.id,
top_lvl_location_id = 1)
def process_geo_json():
try:
geo_json_df = pd.read_csv('geo_json.txt', delimiter="|")
except IOError:
return
geo_json_df = pd.read_csv('geo_json.txt', delimiter="|")
location_df = pd.DataFrame(list(Location.objects.all()\
.values_list('id','location_code')),columns=['location_id','location_code'])
merged_df = location_df.merge(geo_json_df)[['location_id', 'geo_json']]
model_df_to_data(merged_df, LocationPolygon)
minify_geo_json()
def process_geo_json():
try:
geo_json_df = pd.read_csv('geo_json.txt',delimiter = "|")
except IOError:
return
geo_json_df = pd.read_csv('geo_json.txt',delimiter = "|")
location_df = pd.DataFrame(list(Location.objects.all()\
.values_list('id','location_code')),columns=['location_id','location_code'])
merged_df = location_df.merge(geo_json_df)[['location_id','geo_json']]
model_df_to_data(merged_df, LocationPolygon)
minify_geo_json()
