README.rst

django-amazon-ses

A Django email backend that uses Boto 3 to interact with Amazon Simple Email Service (SES).

Table of Contents

• Installation
• AWS Credential Setup
  • AWS Named Profile
  • AWS EC2 Instance Profile
• Django Configuration
• Usage
• Signals
  • pre_send
  • post_send
• Testing

Installation

First, install the Django Amazon SES email backend:

$ pip install django-amazon-ses

Next, ensure that your Amazon Web Services (AWS) API credentials are setup, or that you are running on an Amazon EC2 instance with an instance profile that has access to the Amazon SES service.

Note: Versions 1.0.x of django-amazon-ses are the last versions compatible with Django versions earlier than 1.11. If you are using Django versions earlier than 1.11.x, please pin your django-amazon-ses version.

AWS Credential Setup

AWS Named Profile

Create an AWS API credential profile named test using the AWS CLI:

$ aws --profile test configure

Ensure that the AWS_PROFILE environment variable is set so that Boto 3 knows which credentials profile to use:

$ AWS_PROFILE="test" gunicorn my:app

AWS EC2 Instance Profile

Create an instance profile with at least the ses:SendRawEmail action. Then, associate it with the instance/s running your application. An example policy that enables access to the ses:SendRawEmail action is below:

{
   "Version": "2012-10-17",
   "Statement": [
      {
         "Effect": "Allow",
         "Action": ["ses:SendRawEmail"],
         "Resource":"*"
      }
   ]
}

Django Configuration

Lastly, override the EMAIL_BACKEND setting within your Django settings file:

EMAIL_BACKEND = 'django_amazon_ses.EmailBackend'

Optionally, you can set the AWS credentials. If unset, the backend will gracefully fall back to other Boto 3 credential providers.

AWS_ACCESS_KEY_ID = 'my_access_key...'
AWS_SECRET_ACCESS_KEY = 'my_secret...'

Optionally, you can set the AWS region to be used (default is 'us-east-1'):

AWS_DEFAULT_REGION = 'eu-west-1'

Alternatively, provide AWS credentials using the settings below. This is useful in situations where you want to use separate credentials to send emails via SES than you would for other AWS services.

AWS_SES_ACCESS_KEY_ID = 'my_access_key...'
AWS_SES_SECRET_ACCESS_KEY = 'my_secret...'
AWS_SES_REGION = 'us-west-2'

Usage

Once the configuration above is complete, use send_email to send email messages with Amazon SES from within your application:

from django.core.mail import send_mail

send_mail(
    'Subject here',
    'Here is the message.',
    '[email protected]',
    ['[email protected]'],
    fail_silently=False,
)

Signals

Two signals are provided for the backend, pre_send and post_send. Both signals receive the message object being sent. The post_send signal also receives the Amazon SES message ID of the sent message.

pre_send

You can modify the email message on pre_send. For example, if you have a blacklist of email addresses that should never receive emails, you can filter them from the recipients:

from django.dispatch.dispatcher import receiver
from django_amazon_ses import pre_send

@receiver(pre_send)
def remove_blacklisted_emails(sender, message=None, **kwargs):
    blacklisted_emails = Blacklisted.objects.values_list('email', flat)
    message.to = [email for email in message.to if email not in blacklisted_emails]

If the pre_send receiver function ends up removing all of the recipients from the message, the email is not processed and the post_send signal is not sent.

post_send

Similarly, the post_send signal can be used to log messages sent by the system. This is useful if you want to log the subject line of a message that bounced or received a complaint.

from django.dispatch.dispatcher import receiver
from django.utils import timezone

from django_amazon_ses import post_send

@receiver(post_send)
def log_message(sender, message=None, message_id=None, **kwargs):
    SentMessage.objects.create(
        subject = message.subject,
        body = message.body,
        message_id = message_id,
        date_sent = timezone.now()
    )

Testing

The test suite execution process is managed by tox and takes care to mock out the Boto 3 interactions with Amazon's API, so there is no need for a valid set of credentials to execute it:

$ tox