microgue 4.0.2

This project contains bootstrap code to speed up the development of AWS based microservices

AWS Microservice Bootstrap Code

This project contains bootstrap code to speed up the development of AWS based microservices

This includes:

• Redis Cache
• EventBridge
• DynamoDB Models, Tables, and Objects
• SQS Queues
• Secrets Manager
• S3 Storage

This project also includes base code for:

• Logger Definitions
• Service Connections
• Flask App Definitions
• Additional Utilities

Working On Microgue

Repo: https://bitbucket.org/michaelhudelson/microgue/src/master

Clone: git clone https://bitbucket.org/michaelhudelson/microgue/src/master

Requirements

• Python 3.7+

Pre-Setup

• Make sure you have an IAM user created with correct permissions in your AWS account

  • Create an Access Key on that user

  • Install awscli pip install awscli

  • Add that Access Key with aws configure

  • Verify you are using the correct Access Key with aws configure list

  • You can also verify by looking at the file ~/.aws/credentials

Install Microgue

pip install microgue

Flask Setup (Optional)

• Put the following code in the app.py file in the root of the project

import logging
from microgue.abstract_app import AbstractApp

logging.basicConfig()


class App(AbstractApp):
    pass


app = App().app

• In the terminal run the following commands

export PYTHONUNBUFFERED=1
export FLASK_DEBUG=1
flask run

• GET http://127.0.0.1:5000

Distribution

# update version in setup.py

# commit and push changes
git add .
git commit -m "v1.0.X"
git push origin master

# tag the commit and push
git tag -a v1.0.X -m "Release v1.0.X"
git push --tags

# package with:
python setup.py sdist bdist_wheel

# https://pypi.org/project/microgue/
# upload to pypi with:
python -m twine upload dist/*

# OPTIONAL
# https://test.pypi.org/project/microgue/
# upload to test pypi with:
twine upload --repository-url https://test.pypi.org/legacy/ dist/*

Backlog

• get_all accept sk_operation ["eq", "begins_with", "between", "lt", "lte", "gt", "gte"]
  • Operation.begins_with = lambda sk, sk_value: Key(sk).begins_with(sk_value)