def get_national_data():
response = requests.request("GET", NATIONAL_URL)
parsed_response = io.StringIO(response.content.decode("utf-8"))
data = csv.DictReader(parsed_response, delimiter=",")
data_dict = dict()
for element in data:
element["confirmed"] = element.pop("confirmados")
element["day"] = element.pop("dia")
element["deaths"] = element.pop("muertes")
element["confirmed_per_100k"] = per_100k(int(element["confirmed"]),
INE_CHILEAN_HABITANTS)
element["deaths_per_100k"] = per_100k(int(element["deaths"]),
INE_CHILEAN_HABITANTS)
data_dict.update({element["day"]: element})
return data_dict
def get_regional_data():
data = get_regional_template()
confirmed_response = requests.request("GET", REGIONAL_CONFIRMED_URL)
deaths_response = requests.request("GET", REGIONAL_DEATHS_URL)
parsed_confirmed_response = io.StringIO(
confirmed_response.content.decode("utf-8"))
parsed_deaths_response = io.StringIO(
deaths_response.content.decode("utf-8"))
confirmed_reader = csv.DictReader(parsed_confirmed_response, delimiter=",")
deaths_reader = csv.DictReader(parsed_deaths_response, delimiter=",")
for confirmed_row, deaths_row in zip(confirmed_reader, deaths_reader):
region_id = confirmed_row["codigo"]
if region_id == "0":
continue
del confirmed_row["codigo"], confirmed_row["region"]
del deaths_row["codigo"], deaths_row["region"]
population = data[region_id]["regionInfo"]["population"]
region_data = dict()
for key in confirmed_row:
confirmed = int(confirmed_row[key])
region_data.update({
key: {
"confirmed": confirmed,
"confirmed_per_100k": per_100k(confirmed, population),
"confirmed_per_million":
per_million(confirmed, population),
}
})
for key in deaths_row:
deaths = int(deaths_row[key])
region_data[key].update({
"deaths":
deaths,
"deaths_per_100k":
per_100k(deaths, population),
"deaths_per_million":
per_million(deaths, population),
})
data[region_id]["regionData"] = region_data
return data
