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datacoco-email_tools

PyPI Version Documentation Status Code Quality Grade Coverage Code of Conduct

datacoco-email_tools provides basic interaction with the Amazon Web Service (AWS) Simple Email Service.

Installation

datacoco-email_tools requires Python 3.6+

python3 -m venv <virtual env name>
source <virtual env name>/bin/activate
pip install datacoco-email-tools

Quickstart

Sending email using one line wrapper

Email.send_mail(
    aws_access_key=AWS_ACCESS_KEY,
    aws_secret_key=AWS_SECRET_KEY,
    aws_sender=SENDER,
    aws_region=AWS_REGION,
    to_addr=RECIPIENTS,
    subject='hello world',
    from_addr='email@github.com',
    text_msg='text message',
    html_msg='html message')

Sending email with attachment using one line wrapper

Email.send_email_with_attachment(
    aws_access_key=AWS_ACCESS_KEY,
    aws_secret_key=AWS_SECRET_KEY,
    aws_sender=SENDER,
    aws_region=AWS_REGION,
    to_addr=RECIPIENTS,
    subject='hello world',
    from_addr='email@github.com',
    filename='helloworld.txt',
    body_msg='email body text')

Development

Getting Started

It is recommended to use the steps below to set up a virtual environment for development:

python3 -m venv <virtual env name>
source <virtual env name>/bin/activate
pip install -r requirements.txt

Testing

pip install -r requirements-dev.txt

To run the testing suite, simply run the command: tox or python -m unittest discover tests

Contributing

Contributions to datacoco_email_tools are welcome!

Please reference guidelines to help with setting up your development environment here.

About

Data common code for AWS Simple Email Service by Equinox

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