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gofynd/flask-full

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Flask-Full

Travis

Flask-Full is a boilerplate framework on top of flask for developing large api backend applications using flask. It has in built support for creating shell commands, celery, websocket, eventlet, mongoengine orm, swagger-ui api docs and sphinx docs.

Usage

Flask-Full requires minimum python 3.5.

Pre-required Setup:

  • MacOS/Linux/Windows
  • git
  • Python3 / pip3 /
  • MongoDB
git clone https@github.com:fynd/flask-full.git
cd flask-full (rename repository directory to required value)
pip3 install -r requirements.txt

To start server hit

python3 manage.py run -p 8080

Server will start on port 8080. Hitting http://localhost:8080/ping/ on web browser should return {"message": "pong"}.

API Docs are powered by swagger ui and can be viewed by hitting http://localhost:8080/apidocs/ .

To start celery hit

python3 manage.py celery

To start beat hit

python3 manage.py beat

For available commands and options hit

python manage.py

Structure

├── CHANGES Change logs
├── README.rst
├── manage.py Management commands file
├── meta.conf App meta conf
├── requirements.txt 3rd party libraries libraries
├── requirements_test.txt Testing 3rd libraries
├── temp Temp directory for storing logs
├── app
 ├── __init__.py App starting point
 ├── app.py Main blueprint with before and after request handler
 ├── api_info.py API level constants
 ├── choices.py CHOICES constant dictionary
 ├── crons.py Crons dictionary file
 ├── exceptions.py Custom exceptions
 ├── stats.py API stats
 ├── wsgi.py wsgi app
 ├── wsgi_aux.py wsgi auxilary app
 ├── utils Utils
 │ ├── __init__.py
 │ ├── api_caller.py Wrapper over requests which handles emits blinker signal over call
 │ ├── common_util.py common utils
 │ ├── json_util.py contains custom flask encodes
 │ ├── slack_util.py
 └── api
 └── v1
 └── ├── urls.py url routes
 ├──demo_api container one demo api

You can also use docker-compose. Hit below command to start server on port 8080.

docker-compose build
docker-compose up

About

starter/boilerplate flask application with celery, mongoengine, signals, shell commands, swagger api docs and sphinx docs integration

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