Download and Run

Download

git clone https://github.com/mraswan/opl_microservice.git
cd opl_microservice
pip install -r requirements

Prerequisite (to Run)

Install needed modules

pip install -r requirements.txt	
create a folder named db
opl_data.db holds the database. sqlite3 db/opl_data.db
run the commands in sql/opl_daanase_schema.sql in the db	

Configuration (if you need to change)

Run

-Run on local laptop

- Run for development using:
`` python wsgi.py``

- Run Server using Gunicorn (@ port 5000).
    - gunicorn --bind 0.0.0.0:5000 wsgi:app
    - Before executing make sure you have instance folder at same level as run.py file.
    instance folder should have empty __init__.py file and a config.py file with any variables specific
    to your project (do not checkin in this file.

Run as a service in Linux
----
    place service file here: /etc/systemd/system/opl.service
Run in Docker
--------------
Assumes that you have Docker Installed from here.
-	https://docs.docker.com/docker-for-mac/ (for mac)
-	https://docs.docker.com/docker-for-windows/ (for windows)

Instructions to build and run.
----
    $ cd <BASE_GIT_PATH>/opl_microservice
    $ docker build -t docker-image:opl_microservice .
    $ docker run -e GUNICORN_WORKERS=4 -e GUNICORN_ACCESSLOG=- -p 5000:5000 docker-image:opl_microservice

Documentation Swagger
---------------------
- http://localhost:5000/ -> It redirect to the documentation URL
- http://localhost:5000/opl/doc/

Local Setup
-------------
/usr/local/etc/nginx/nginx.conf