def load_json(path):
# esse é o id atual, mas pode mudar com o tempo
app_id = "unAFkcaNDeXajurGB7LChj8SgQYS2ptm"
response = http_get(
"https://xx9p7hp1p7.execute-api.us-east-1.amazonaws.com/prod/{}".
format(path), {"x-parse-application-id": app_id})
if response:
return json.loads(response.read())
def load():
global _oms_data
response = http_get(
"https://dashboards-dev.sprinklr.com/data/9043/global-covid19-who-gis.json",
{"Accept-Encoding": "gzip"})
if response:
response_data = decompress(response.read())
data = json.loads(response_data.decode("utf-8"))
_oms_data = [d for d in data["rows"] if d[1] == "BR"]
def load_series():
result_data = []
next_page = "https://brasil.io/api/dataset/covid19/caso/data?place_type=state"
while next_page:
response = http_get(next_page)
if response:
data = json.loads(response.read())
result_data.extend(data["results"])
next_page = data.get("next")
else:
break
return result_data
def load_region_series(region_code):
result_data = []
next_page = "https://brasil.io/api/dataset/covid19/caso/data?city_ibge_code={}".format(
region_code)
while next_page:
response = http_get(next_page)
if response:
data = json.loads(response.read())
result_data.extend(data["results"])
next_page = data.get("next")
else:
break
return result_data
def load():
global _raw_data
raw_data = []
next_page = "https://brasil.io/api/dataset/covid19/caso/data?is_last=True"
while next_page:
response = http_get(next_page)
if response:
data = json.loads(response.read())
raw_data.extend(data["results"])
next_page = data.get("next")
else:
break
_raw_data = raw_data
def load():
global _world_data
response = http_get("https://www.worldometers.info/coronavirus/")
if response:
main_page = BeautifulSoup(response, 'html.parser')
last_date_tag = main_page.find(
WorldOMeterData._last_update_matcher)
if last_date_tag:
match = re.findall(r"(\w+\s\d+,\s\d+,\s\d+:\d+\sGMT)$",
last_date_tag.text)
if match:
_world_data["lastUpdated"] = match[0]
data_tag = main_page.find(WorldOMeterData._brazil_matcher)
cols = []
for el in data_tag.parent.find_next_siblings("td"):
cols.append(el.text)
if cols:
_world_data["cases"] = cols[0]
_world_data["deaths"] = cols[2]
_world_data["recovery"] = cols[4]
def load():
global _g1_data
url = "https://api.especiaisg1.globo/api/eventos/brasil/"
response = http_get(url)
if response:
_g1_data = json.loads(response.read())