Email-Based Data Collection for NLP Model Training with AWS SESv2

Question

Pulumi · Accepted Answer

To set up an email-based data collection system for NLP (Natural Language Processing) model training on AWS using Pulumi, you can use AWS Simple Email Service (SES) Version 2. This service allows you to collect emails that can serve as data points for your NLP model training.

First, let me explain the main components you'll need:

1. **Email Identity**: This is essentially the email address or domain that you'll use to send and receive emails. You must verify this identity with SES to confirm that you own it and to prevent spam.

2. **Contact List**: A contact list contains a collection of email addresses that you might use for email campaigns. In this case, it can represent the list of emails from which you collect data.

3. **Configuration Set**: This organizes a collection of rules that you will define for handling email sends. It can help you capture bounce and complaint events if emails sent do not reach their intended recipients. For instance, you could publish such events to an Amazon SNS topic.

4. **Event Destination**: You can use this to specify what you want to happen when SES receives an email event, such as a send, delivery, bounce, or complaint.

Using these components, you will be able to set up an email-based data collection system. Here is a Pulumi program in Python that implements such a system:

```python
import pulumi
import pulumi_aws as aws

# Verify an email identity
email_identity = aws.sesv2.EmailIdentity("my-email-identity",
    email_identity="nlp-data-collection@example.com")

# Create a contact list - You can add email addresses to this list as needed
contact_list = aws.sesv2.ContactList("my-contact-list",
    contact_list_name="NLPDataContributors")

# Create a configuration set - This is used for tracking and publishing email sending events
configuration_set = aws.sesv2.ConfigurationSet("my-configuration-set",
    configuration_set_name="NLPDataCollectionConfigSet")

# Event destination for capturing sends, deliveries, bounces, and complaints
event_destination = aws.sesv2.ConfigurationSetEventDestination("my-event-destination",
    configuration_set_name=configuration_set.configuration_set_name,
    event_destination_name="EventDestination",
    event_destination={
        "enabled": True,
        "matching_event_types": ["send", "delivery", "bounce", "complaint"],
        # Publishing to an SNS topic (you must create this SNS topic beforehand)
        "sns_destination": {
            "topic_arn": "arn:aws:sns:us-west-2:123456789012:NLPDataCollectionTopic"
        }
    })

# Export the SES domain identity ARN as a stack output
pulumi.export('email_identity_arn', email_identity.arn)
```

### Explanation:

1. **Email Identity**: We create an email identity using `aws.sesv2.EmailIdentity`. This is the starting point and serves as the identity for sending and receiving emails.

2. **Contact List**: The `aws.sesv2.ContactList` resource creates a list with a designated name. This would be the list you add contributors' emails to.

3. **Configuration Set**: We define a configuration set with `aws.sesv2.ConfigurationSet`, where SES will track events related to emails that you send.

4. **Event Destination**: The `aws.sesv2.ConfigurationSetEventDestination` will capture the email sending events and then you can send email events to an Amazon SNS topic using the `sns_destination`. You'd need to create this SNS topic in your AWS account and replace the `topic_arn` in the code with your topic's ARN.

Lastly, the program exports the ARN (Amazon Resource Name) of the verified email identity so that it can be referenced elsewhere if needed.

Keep in mind, some manual steps such as verifying the email identity and setting up the SNS topic aren't covered by this script and must be done separately according to the AWS SES and SNS documentation.