text: import datetime
  import logging
  from sqlalchemy.sql import text as sa_text
  import sqlalchemy
  import urllib
  from sqlalchemy import create_engine
  import pandas as pd
  import requests
  import os
  import azure.functions as func
  
  from .. import shared
  
  
  def main(mytimer: func.TimerRequest) -> None:
      utc_timestamp = datetime.datetime.utcnow().replace(
          tzinfo=datetime.timezone.utc).isoformat()
  
      if mytimer.past_due:
          logging.info('The timer is past due!')
  
      today = datetime.datetime.now().date()
      date = today
      try:
          df = pd.read_excel(
              "https://www.ecdc.europa.eu/sites/default/files/documents/COVID-19-geographic-disbtribution-worldwide-%s.xlsx" % date.strftime("%Y-%m-%d"))
          logging.info(f"date: {today}")
      except Exception as e:
          logging.info(e)
          logging.info(f"No data for date {today}, yet.")
          return
      change_column_names_date = datetime.date(2020, 3, 27)
      if date >= change_column_names_date:
          df = df.rename(columns={
                         'dateRep': 'DateRep', 'countriesAndTerritories': shared.helpers.country_col, 'cases': 'infections'})
      df['DateRep'] = pd.to_datetime(df['DateRep']).dt.date
  
  
      df = df.rename(columns={'Countries and territories': shared.helpers.country_col,
                              'DateRep': 'date', 'Deaths': 'deaths', 'Cases': 'infections'})
  
      df = df[['date', 'infections', 'deaths', shared.helpers.country_col]]
  
      df = df.sort_values(by=['date', shared.helpers.country_col])
  
      df[df[shared.helpers.country_col] == 'Germany'].groupby(by=[shared.helpers.country_col]).cumsum()
  
      df_cumsum = df.groupby(by=[shared.helpers.country_col]).cumsum()
  
      df_result = df[['date', shared.helpers.country_col]].join(df_cumsum)
  
      username = os.environ.get('keyvault_db_username')
      password = os.environ.get('keyvault_db_password')
  
      params = urllib.parse.quote_plus(
          'Driver={ODBC Driver 17 for SQL Server};Server=tcp:covid19dbserver.database.windows.net,1433;Database=covid19db;Uid='+username
          + '@covid19dbserver;Pwd='+password
          + ';Encrypt=yes;TrustServerCertificate=no;Connection Timeout=30;')
      conn_str = 'mssql+pyodbc:///?odbc_connect={}'.format(params)
      engine = create_engine(conn_str, echo=False)
  
      assert df_result.duplicated().sum() == 0
  
      table_name = "ECDC"
      table_name_updates = f"{table_name}_updates"
  
      try:
          df_temp = pd.read_sql("select Top(1) * from dbo.%s" %
                                table_name_updates, engine)
          engine.execute(sa_text('''TRUNCATE TABLE %s''' %
                                 table_name_updates).execution_options(autocommit=True))
      except Exception as e:
          print(e)
          pass
  
      country_col = 'Country/Region'
      dtype_dict = {}
      for col in [country_col]:
          df_result[col] = df_result[col].str.slice(start=0, stop=99)
          dtype_dict[col] = sqlalchemy.types.NVARCHAR(length=100)
  
      df_result = df_result[['Country/Region', 'infections', 'deaths', 'date']]
  
      df_result.infections = df_result.infections.fillna(0)
      df_result.deaths = df_result.deaths.fillna(0)
  
      df_result.to_sql(table_name_updates,
                       engine,
                       if_exists='append', schema='dbo',
                       index=False, chunksize=100,
                       method='multi', dtype=dtype_dict)
  
      merge_statement = f'''
      MERGE INTO dbo.{table_name} AS Target 
      USING 
          (
              SELECT [Country/Region], infections, deaths, date 
              FROM dbo.{table_name_updates}
          ) AS Source 
      ON Target.[Country/Region] = Source.[Country/Region] 
          AND Target.date = Source.date 
      WHEN MATCHED THEN 
          UPDATE SET 
          Target.infections = Source.infections, 
          Target.deaths = Source.deaths
      WHEN NOT MATCHED BY TARGET THEN 
          INSERT ([Country/Region], infections, deaths, date)
          VALUES (Source.[Country/Region], Source.infections, Source.deaths, Source.date);
  
      '''
      engine.execute(sa_text(merge_statement).execution_options(autocommit=True))
  
      logging.info('Python timer trigger function ran at %s', utc_timestamp)
  