def update_all(spec_countries=None):
ALL_EU = []
if spec_countries is not None:
countries_to_update = spec_countries
else:
countries_to_update = list(COUNTRIES.keys())
for c in countries_to_update:
try:
covid = COVID(c)
logging.info(f"cleaning {c}...")
ALL_EU.append(covid.cleaner())
logging.info(f"{c}: cleaned.")
except Exception as e:
logging.exception(
f"Something went wrong during the scraping of country : {c}")
logging.critical(e, exc_info=True)
df = pd.DataFrame()
for d in ALL_EU:
df = pd.concat([df, d], axis=0)
df = df[~df.value.isnull()]
logging.info("finished scrapping and cleanning.")
logging.info("start pushing to S3...")
data_combiner.update_current_s3d_dataset(df)
def test_PT():
covid = COVID("PT")
df = covid.cleaner()
df
def test_NL():
covid = COVID("NL")
df = covid.cleaner()
df
def test_LU():
covid = COVID("LU")
df = covid.cleaner()
df
def test_FR():
covid = COVID("FR")
df = covid.cleaner()
df
def test_FI():
covid = COVID("FI")
df = covid.cleaner()
df
def test_EE():
covid = COVID("EE")
df = covid.cleaner()
df
def test_IT_regions():
covid = COVID("IT")
df = covid.cleaner()
df
def test_ES_cleaner():
covid = COVID("ES", update=False)
df = covid.cleaner()
df
def test_DK():
covid = COVID("DK")
df = covid.cleaner()
df
def test_BE_():
covid = COVID("BE", update=True)
df = covid.cleaner()
df
def test_scrapper_BE():
covid = COVID("BE", update=False)
df = covid.cleaner()
df
def test_SE():
covid = COVID("SE")
df = covid.cleaner()
df
def test_scrapper_AT():
covid = COVID("AT", update=True)
df = covid.cleaner()
df