kdubba14 / python-flask-rest-microservice

Python Flask REST API Micro service with SQL Alchemy

Python Flask REST Microservice

REST API written in Python Flask using SQLAlchemy as the ORM with auto migration capabilities

Pre-requisites

• Download & install Python 3.6
• Download & install Pipenv

 python -m pip install -U pip 

• Download & Install MySQL Server locally or use an external database (OPTIONAL)

For Developers

• Download & install NodeJS
• Install nodemon (use sudo if you in linux)

npm i -g nodemon

Installation

# Clone the repository 
git clone https://github.com/dipayan/python-flask-rest-microservice.git
# Change into the directory
cd python-flask-rest-microservice
# Install all required dependencies with
// skip // pipenv install --deploy --skip-lock
// skip // ('pip' or 'pip3') install psycopg2
pipenv install pylint --dev
# Activate the project virtual environment
pipenv shell
# Create an local .env file and replace with the relevant values
cp .env.sample .env

You can also set the enviroment variables explicity (OPTIONAL)

PORT=9400
BUILD_DEV=development
DATABASE_URL=postgres://name:password@host:port/dbname

Running the application

Start the app

python run.py

Start the app for developers

nodemon run.py

Usage

API Specifications

• GET: /api/v1/todos/
• GET: /api/v1/todos/?title=
• GET: /api/v1/todos/{todo_id}
• POST: /api/v1/todos/
• PUT: /api/v1/todos/{todo_id}
• DELETE: /api/v1/todos/{todo_id}

Example Get all todos curl http://localhost:{PORT}/api/v1/todos/

Running the application as a Docker container

cd python-flask-rest-microservice
# Build the docker image 
docker build -t python-flask-app .
# Run the docker container and put the port as specified in the .env file
docker run -d -p 9000:9000 --name python-flask-app -e PORT=9000 -e BUILD_ENV='development' -e DATABASE_URL='mysql+pymysql://user:pass@host:port/dbname' python-flask-app
# Check the logs
docker logs -f python-flask-app
# Cleaup the container
docker stop python-flask-app && docker rm python-flask-app

Database Auto migration & creation

You can create the tables using the following set of commands

python manage.py db init
python manage.py db migrate
python manage.py db upgrade

Author

Dipayan Biswas