Sure! Here’s a basic script to automate sending daily email reports using Python. This script will send an email report with some dummy data, but you can customize it to fetch real data from a database, API, or any other data source.
“`python
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import datetime
def send_email(sender_email, sender_password, receiver_email, subject, message):
# Set up the SMTP server
smtp_server = smtplib.SMTP_SSL(‘smtp.example.com’, 465)
smtp_server.login(sender_email, sender_password)
# Create message
msg = MIMEMultipart()
msg[‘From’] = sender_email
msg[‘To’] = receiver_email
msg[‘Subject’] = subject
msg.attach(MIMEText(message, ‘plain’))
# Send email
smtp_server.send_message(msg)
# Quit SMTP server
smtp_server.quit()
def generate_daily_report():
# Dummy function to generate daily report data
return “Daily report for ” + str(datetime.date.today())
# Set up email parameters
sender_email = ‘[email protected]’
sender_password = ‘your_email_password’
receiver_email = ‘[email protected]’
subject = ‘Daily Report’
# Generate daily report
daily_report = generate_daily_report()
# Send email
send_email(sender_email, sender_password, receiver_email, subject, daily_report)
“`
To set up this script:
1. **Set up an SMTP server**: You’ll need access to an SMTP server to send emails. You can use Gmail’s SMTP server or any other SMTP server you have access to. Make sure to replace `’smtp.example.com’` with the address of your SMTP server and `’[email protected]’` and `’your_email_password’` with your email credentials.
2. **Replace dummy data**: Replace the dummy data in the `generate_daily_report()` function with your actual report generation logic. This function should return the daily report as a string.
3. **Configure email parameters**: Set the sender and receiver email addresses, as well as the subject of the email.
4. **Run the script daily**: You can use cron jobs (on Unix-like systems) or Task Scheduler (on Windows) to schedule the script to run daily at a specific time. Alternatively, you can deploy this script to a server that runs continuously.
Make sure to handle any errors gracefully, especially when dealing with sensitive information like email credentials. Additionally, consider adding error handling and logging to ensure that you’re aware of any issues that occur during the execution of the script.
