Example #1
0
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()
Example #2
0
    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)
Example #3
0
    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()