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import urllib.request
import json
link = "https://klimalog.die-gdi.de/ndc/open-data/dataset.json"
def get_document(countryCode: str):
with urllib.request.urlopen(link) as urlfile:
data = json.loads(urlfile.read())
categoriesData = {}
categoriesData['categories']= data['categories']
categoriesData['subcategories']= data['subcategories']
keys_sub = categoriesData['subcategories'].keys()
documentType= 'NDCs'
if documentType in data.keys():
if countryCode in data[documentType].keys():
get_dict = {}
for key, value in data[documentType][countryCode].items():
if key not in ['country_name','region_id', 'region_name']:
get_dict[key] = value['classification']
else:
get_dict[key] = value
else:
return None
else:
return None
country = {}
for key in categoriesData['categories']:
country[key]= {}
for key,value in categoriesData['subcategories'].items():
country[value['category']][key] = get_dict[key]
return country
# country_ndc = get_document('NDCs', countryList[option])
def countrySpecificCCA(cca_sent, threshold, countryCode):
temp = {}
doc = get_document(countryCode)
for key,value in cca_sent.items():
id_ = doc['climate change adaptation'][key]['id']
if id_ >threshold:
temp[key] = value['id'][id_]
return temp
def countrySpecificCCM(ccm_sent, threshold, countryCode):
temp = {}
doc = get_document(countryCode)
for key,value in ccm_sent.items():
id_ = doc['climate change mitigation'][key]['id']
if id_ >threshold:
temp[key] = value['id'][id_]
return temp
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