REST API written in Python Flask using SQLAlchemy as the ORM with auto migration capabilities
- 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)
- Download & install NodeJS
- Install nodemon (use sudo if you in linux)
npm i -g nodemon# 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 .envYou can also set the enviroment variables explicity (OPTIONAL)
PORT=9400
BUILD_DEV=development
DATABASE_URL=postgres://name:password@host:port/dbnameStart the app
python run.pyStart the app for developers
nodemon run.pyAPI 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/
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-appYou can create the tables using the following set of commands
python manage.py db init
python manage.py db migrate
python manage.py db upgradeDipayan Biswas
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