def setUp(self):
ci = CountryImport()
ci.update_polygon()
ci.update_alt_name()
self.dummy_file_source = factory.FileSourceFactory(name='hello')
self.dummy_geolocation = factory.GeolocationFactory(tag='Austrlia',
iso2='au',
iso3='aus',
object_id=4,
content_type_id=15,
type='country')
self.dummy_file = factory.FileFactory(
title="test",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath('samples/two_mesure_values_num_date.csv'))
def setUp(self):
# initialize subnational/Country
ci = CountryImport()
ci.update_polygon()
ci.update_alt_name()
# creating dummy objects for testing
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source')
self.dummy_geolocation = factory.GeolocationFactory(tag='Albania',
iso2='al',
iso3='alb',
object_id=4,
content_type_id=15,
type='country')
self.dummy_file = factory.FileFactory(
title="Region",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/multiple_ind_cat.csv"))
def setUp(self):
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source')
alb = factory.CountryFactory(name='Albania', iso2='al', iso3='alb')
self.dummy_geolocation = factory.GeolocationFactory(tag='Albania',
iso2='al',
iso3='alb',
object_id=alb.id,
content_type_id=15,
type='country')
self.dummy_file = factory.FileFactory(
title="test",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/point_based.csv"))
def setUp(self):
# initialize Region
ri = RegionImport()
ri.update_region_center()
# creating dummy objects for testing
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source')
region = factory.RegionFactory(name='central asia')
self.dummy_geolocation = factory.GeolocationFactory(
tag='central asia',
object_id=region.id,
content_type_id=19,
type='region')
self.dummy_file = factory.FileFactory(
title="Region",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/region.csv"))
def setUp(self):
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source'
)
self.dummy_geolocation = factory.GeolocationFactory(
tag='Albania',
iso2='al',
iso3='alb',
object_id=4,
content_type_id=15,
type='country'
)
self.dummy_file = factory.FileFactory(
title="test",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/point_based.csv")
)
file_id = self.dummy_file.id
EXTRA_INFORMATION = {
'empty_entries': {
'empty_indicator': 'Test pointbased',
'empty_geolocation': {
'value': '',
'type': ''},
'empty_filter': 'Default',
'empty_value_format': {
'value format': 'Numeric'},
'empty_date': '2016'},
'multi_mapped': {
'column_heading': {},
'column_values': {},
},
'point_based_info': {
'coord': {
'lat': 'Lat location 1',
'lon': 'Long location 1'},
'subnational': '',
'country': '',
'type': '',
}}
input_json = {
'metadata_id': file_id,
'mapping_dict': {
'indicator': [],
'filters': [],
'geolocation': ["Lat location 1", "Long location 1"],
'date': [],
'value_format': [],
'value': ["new infections"],
'comment': [],
},
"filter_headings": {"filters": "filters"},
'extra_information': EXTRA_INFORMATION
}
input_json_str = json.dumps(input_json)
query_input = {"input": {"data": input_json_str}}
query = """
mutation mapping($input: MappingMutationInput!) {
mapping(input: $input) {
id
data
}
}"""
schema.execute(query, variable_values=query_input)
def setUp(self):
ci = CountryImport()
ci.update_polygon()
ci.update_alt_name()
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source'
)
self.dummy_geolocation = factory.GeolocationFactory(
tag='Albania',
iso2='al',
iso3='alb',
object_id=4,
content_type_id=15,
type='country'
)
self.dummy_file = factory.FileFactory(
title="test",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/AIDSinfotest.csv")
)
file_id = self.dummy_file.id
input_json = {
'metadata_id': file_id,
'mapping_dict': {
"indicator": ["Indicator"],
"value_format": ["Unit"],
"geolocation": ["Area"],
"value": ["Data Value"],
"date": ["Time Period"],
"comment": ["Source"],
"filters": ["Subgroup"]
},
'filter_headings': {"Subgroup": "Subgroup"},
}
input_json_str = json.dumps(input_json)
query_input = {"input": {"data": input_json_str}}
query = """
mutation mapping($input: MappingMutationInput!) {
mapping(input: $input) {
id
data
}
}"""
schema.execute(query, variable_values=query_input)
def setUp(self):
ci = CountryImport()
ci.update_polygon()
ci.update_alt_name()
self.dummy_file_source = factory.FileSourceFactory(
name='dummy_file_source')
self.dummy_geolocation = factory.GeolocationFactory(tag='Albania',
iso2='al',
iso3='alb',
object_id=4,
content_type_id=15,
type='country')
self.dummy_file = factory.FileFactory(
title="test",
description="test",
contains_subnational_data=True,
organisation="test",
maintainer="test",
date_of_dataset="2009-01-01",
methodology="test",
define_methodology="test",
update_frequency="test",
comments="test",
accessibility="p",
data_quality="test",
number_of_rows=1,
file_types="csv",
location=self.dummy_geolocation,
source=self.dummy_file_source,
file=os.path.abspath("samples/AIDSinfotest.csv"))
file_id = self.dummy_file.id
input_json = {
'metadata_id': file_id,
'filter_headings': {
"Subgroup": "Subgroup"
},
"extra_information": {
"empty_entries": {
"empty_indicator": '',
"empty_geolocation": {
"value": '',
"type": ''
},
"empty_filter": '',
"empty_value_format": {},
"empty_date": ''
},
"multi_mapped": {
"column_heading": {},
"column_values": {}
},
"point_based_info": {
"coord": {
"lat": '',
"lon": ''
},
"subnational": '',
"country": '',
"type": ''
}
},
'mapping_dict': {
"indicator": ["Indicator"],
"value_format": ["Unit"],
"geolocation": ["Area"],
"value": ["Data Value"],
"date": ["Time Period"],
"comment": ["Source"],
"filters": ["Subgroup"]
}
}
begin_mapping(input_json)