Amazon web services – How to automate python scripts in AWS to send email notification and sends log file and if it have dependencies

I have python scripts

script1.py

script2.py

script3.py

script4.py

from my local machine when I ran those scripts it creates log files so I will send those log files to email manually

first script is creates one log file when i ran and 2nd scripts creates one log file

in 2nd script we have logic which creates JSON file using DBEAVER Database data and upload that JSON file in HUBSPOT API using token and API info

now i want to automate those scripts in AWS, I have python code how can I deploy and automate scripts which needs to send log file and email

second python script is having some logic which connect to Dbeaver Database extract users data and convert in to json and upload that json file in HUBSPOT api

In aws how it crates that json file and how it upload those json file every week

can anyone please help me on this i’m very new to AWS

here is the sample code example

    import***

logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)

class LOAD:
    def DB_conn(self):
            self.connection  = psycopg2.connect(
            host= '', database= "!!", user= "@@",password= "**",port = "#",)
        fh = logging.FileHandler(filename)
            fh.setFormatter(f)
            logger.addHandler(fh)
    def Data(self):
        try:

            conn = self.DB_conn()
            query= 'select ******'
        cursor = self.connection.cursor()
            cursor.execute(query)
            records = cursor.fetchall()
            number_rows = f"Total number of rows in table:  {cursor.rowcount}n"
            logger.info(number_rows)    
        --------------------
        ------------------
           logger.info('converting dict to json datan')
            now = datetime.datetime.now()
            filename = now.strftime('User_data_file_%Y-%m-%d--%H-%M-%S.json')
            with open(filename, 'w+') as f:
                json.dump(json_stri, f,indent = 4,default=str)   
            logger.info('JSON File successfully Created!!!n')
    except Exception as e:
            print("n--- ERROR OCCURED ---nn",e,"nn--- QUITTING TASK ---n")
            logger.error(f'FAILED TO CREATE JSONn {e} n')
        
     def chunk_list(list_to_chunk, number_of_list_items):
             """Yield successive chunk_size-sized chunks from list."""
             for i in range(0, len(list_to_chunk), number_of_list_items):
                 yield list_to_chunk[i:i + number_of_list_items]     
         try:
             url = 'https://api.hubapi.com/contacts/v1/contact/batch'
             headers = {
                 'Authorization':  "Bearer p*****-bfa4-",
                 'Accept': 'application/json',
                 'Content-Type': 'application/json'
             }
    with open(filename,'r') as run:
                 json_data = json.load(run)
    
     r = requests.post(
                         url,
                         data=json.dumps(json_data),
                         headers=headers,
                         verify=False,
                         timeout=(10, 15),
                         stream=True
                     )
    if r.status_code == '200':
        logger.info("File uploaded successfully")
    except Exception as e:
             logger.error(f'FAILED TO LOAD JSON FIlen ERROR:> {e} n')
             logger.error(f'ERROR OCCURED----nn ERROR:> {e} nn--- QUITTING TASK --- n')
if __name__=='__main__':
    BATCH=LOAD()
    BATCH.Data()

        

so this is the logic of second script, can anyone please suggest ideas