Mailing from AWS

1. Set Up Amazon SES (Simple Email Service)

Verify Your Domain:
- Go to the SES Console.
- Choose "Verified Identities" and then "Verify a New Domain."
- Enter your domain name and follow the steps to verify it, which involves adding DNS records to your domain.
Set Up an Email Identity:
- Verify the email address you want to use to send emails by choosing "Email Addresses" and then "Verify a New Email Address."

2. Create an IAM Role for Sending Emails

Create an IAM role with permissions to send emails using SES.
Attach the necessary policy (e.g., AmazonSESFullAccess).

3. Write a Python Script to Send Emails

Use the boto3 library to interact with SES.

pythonCopy codeimport boto3
from botocore.exceptions import NoCredentialsError, ClientError

# Initialize a session using Amazon SES
client = boto3.client('ses', region_name='us-east-1')  # Specify your region

# Define the email content
def send_email(recipient, subject, body_text, body_html):
    try:
        response = client.send_email(
            Source='sender@example.com',
            Destination={
                'ToAddresses': [recipient],
            },
            Message={
                'Subject': {'Data': subject},
                'Body': {
                    'Text': {'Data': body_text},
                    'Html': {'Data': body_html},
                },
            },
        )
        return response
    except ClientError as e:
        print(f"Error: {e.response['Error']['Message']}")
    except NoCredentialsError:
        print("Credentials not available.")

# Example usage
recipient = "customer@example.com"
subject = "Daily Update"
body_text = "Here is your daily update."
body_html = """<html>
<body>
<h1>Daily Update</h1>
<p>Here is your daily update.</p>
</body>
</html>"""

send_email(recipient, subject, body_text, body_html)

4. Automate the Script Using AWS Lambda and CloudWatch Events

Create an AWS Lambda Function:
- Write a Lambda function that runs your Python script.
- Deploy the function on AWS Lambda and ensure it has access to SES.
Schedule the Function with CloudWatch Events:
- Go to the CloudWatch Console.
- Create a new rule in "Rules" to trigger the Lambda function daily.

5. Monitor and Log Email Delivery

Use CloudWatch to monitor email sending and track any issues.
Configure SNS (Simple Notification Service) to notify you of failed email deliveries.

6. Handle Unsubscribes and Bounces

Set up SES configurations to manage bounces, complaints, and unsubscribe requests.
Implement logic to update your customer list accordingly.

This setup will enable you to send daily emails to your customers automatically from your domain on AWS.

You said:

Verify a New Domain.

where it is

ChatGPT said:

ChatGPT

To verify a new domain in Amazon SES, follow these steps:

1. Access Amazon SES Console:

Go to the Amazon SES Console.

2. Navigate to Verified Identities:

In the SES dashboard, find the "Verified identities" section in the left-hand menu.
Click on "Domains" under "Verified identities."

3. Add a New Domain:

Click on the "Verify a New Domain" button.
Enter the domain name you wish to verify.

4. DNS Record Setup:

Amazon SES will provide a set of DNS records (TXT, MX, CNAME) that you need to add to your domain's DNS configuration.
These records prove that you own the domain and allow SES to send emails on your behalf.

5. Verify the Domain:

After adding the DNS records, return to the SES console.
Click on "Verify" next to your domain once the DNS changes have propagated.
It might take a few minutes to verify.

6. Optional - Set Up DKIM (DomainKeys Identified Mail):

SES might also provide DKIM records. Adding these records helps improve email deliverability.

Once the domain is verified, you'll be able to use SES to send emails from addresses associated with that domain.

You said:

Enter the domain name you wish to verify.

can you give me the example of domain name

ChatGPT said:

ChatGPT

Certainly! Here's an example:

If your website is hosted at example.com, then your domain name would be example.com.

So when verifying your domain in Amazon SES, you would enter:

Domain Name: example.com

Replace example.com with your actual domain name.

You said:

import boto3 from botocore.exceptions import NoCredentialsError, ClientError

Test Event Name (unsaved) test event Response { "errorType": "Sandbox.Timedout", "errorMessage": "RequestId: e49a9d13-3feb-4dba-a06a-783945233953 Error: Task timed out after 3.00 seconds" } Function Logs [ERROR] Runtime.HandlerNotFound: Handler 'lambda_handler' missing on module 'lambda_function' Traceback (most recent call last):INIT_REPORT Init Duration: 350.59 ms Phase: init Status: error Error Type: Runtime.Unknown INIT_REPORT Init Duration: 3000.03 ms Phase: invoke Status: timeout START RequestId: e49a9d13-3feb-4dba-a06a-783945233953 Version: $LATEST END RequestId: e49a9d13-3feb-4dba-a06a-783945233953 REPORT RequestId: e49a9d13-3feb-4dba-a06a-783945233953 Duration: 3000.00 ms Billed Duration: 3000 ms Memory Size: 128 MB Max Memory Used: 59 MB Status: timeout Request ID e49a9d13-3feb-4dba-a06a-783945233953 error occurs in python code in AWS lambda

ChatGPT said:

ChatGPT

The error you're encountering in AWS Lambda can occur due to a few reasons. Let’s break it down:

1. Handler Error

Error: Runtime.HandlerNotFound: Handler 'lambda_handler' missing on module 'lambda_function'
Cause: This error indicates that AWS Lambda cannot find the handler function specified in the configuration.
Solution: Ensure that the handler is correctly defined. The default handler is typically lambda_function.lambda_handler, where:
- lambda_function is the name of the file (without the .py extension).
- lambda_handler is the function within that file.

2. Timeout Error

Error: Sandbox.Timedout, Task timed out after 3.00 seconds
Cause: Your Lambda function is taking longer than the specified timeout period to execute.
Solution:
- Increase the timeout limit in the Lambda function settings.
- Review your code for any operations that might be taking too long, such as network requests or loops.

3. Fixing the Handler Not Found Issue

If your Lambda function file is named lambda_function.py, make sure your handler is specified as lambda_function.lambda_handler.
If you named your file differently, e.g., email_sender.py, you should update the handler in the AWS Lambda console to email_sender.lambda_handler.

4. Example Code Structure

Ensure your Python file has the correct function defined:

pythonCopy codeimport boto3
from botocore.exceptions import NoCredentialsError, ClientError

def lambda_handler(event, context):
    client = boto3.client('ses', region_name='us-east-1')  # Replace with your region
    recipient = "customer@example.com"
    subject = "Daily Update"
    body_text = "Here is your daily update."
    body_html = """<html>
    <body>
    <h1>Daily Update</h1>
    <p>Here is your daily update.</p>
    </body>
    </html>"""

    try:
        response = client.send_email(
            Source='sender@example.com',
            Destination={
                'ToAddresses': [recipient],
            },
            Message={
                'Subject': {'Data': subject},
                'Body': {
                    'Text': {'Data': body_text},
                    'Html': {'Data': body_html},
                },
            },
        )
        return response
    except ClientError as e:
        print(f"Error: {e.response['Error']['Message']}")
        return {"status": "error", "message": e.response['Error']['Message']}
    except NoCredentialsError:
        print("Credentials not available.")
        return {"status": "error", "message": "Credentials not available."}

5. Set Timeout and Memory Settings

Go to the Lambda function settings.
Increase the timeout from the default 3 seconds to a higher value, e.g., 10-30 seconds.
Adjust the memory allocation if necessary, as insufficient memory can also cause delays.

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