def main(provider, emails, filename, column, username, password, api_key, api_url, bulk):
logging.basicConfig(level=logging.DEBUG)
pp = pprint.PrettyPrinter(indent=4)
if emails != '':
emails = emails.split(',')
else:
if filename != '':
short_file_name, file_extension = os.path.splitext(filename)
if _HAS_PANDAS:
if file_extension in ['.xls', '.xlsx']:
df = pd.read_excel(filename)
emails = df[column].values
elif file_extension in ['.csv']:
df = pd.read_csv(filename)
emails = df[column].values
else:
raise NotImplementedError("Filename extension must be '.xls', '.xlsx' or '.csv'")
else:
raise NotImplementedError("Pandas is necessary to feed emails using Excel or CSV file")
else:
raise NotImplementedError("No emails where given")
print("Create a CachedSession")
session = requests_cache.CachedSession(
cache_name='cache', backend='sqlite',
expire_after=datetime.timedelta(days=365))
print("Instantiate an email verificator")
verificator = Verifier(provider=provider)(session=session)
print("Set credentials")
credentials = {}
if username != '':
credentials['username'] = username
if password != '':
credentials['password'] = password
if api_key != '':
credentials['api_key'] = api_key
if api_url != '':
credentials['api_url'] = api_url
verificator.set_credentials(**credentials)
results = verificator.verify(emails, bulk=bulk)
pp.pprint(results)
if _HAS_PANDAS:
results_to_dataframe(results)
def main():
logging.basicConfig(level=logging.DEBUG)
pp = pprint.PrettyPrinter(indent=4)
print("Create a CachedSession")
session = requests_cache.CachedSession(
cache_name='cache', backend='sqlite',
expire_after=datetime.timedelta(days=365))
print("Instantiate an email verificator")
provider, bulk = 'verify-email.org', False
#provider, bulk = 'emailhippo.com', False
#provider, bulk = 'email-validator.net', False
verificator = Verifier(provider=provider)(session=session)
print("Set credentials")
#verificator.set_credentials(
# username=credentials[provider]['username'],
# password=credentials[provider]['password']
#)
verificator.set_credentials(**credentials[provider])
#print("Verify one email")
#email = '*****@*****.**'
#results = verificator.verify(email)
#print(results)
print("Verify several emails")
lst_emails = ['*****@*****.**', '*****@*****.**',
'*****@*****.**', '*****@*****.**', '*****@*****.**']
results = verificator.verify(lst_emails, bulk=bulk)
pp.pprint(results)
if _HAS_PANDAS:
results_to_dataframe(results)
