davidmaignan / giftsmarts

Project: Suggesteur de cadeaux intelligents

Application Web et/ou Mobile axé sur le back-end permettant d'effectuer des recherches de cadeux à partir de critères dynamiques sur une base de donnée dont les informations sont recueillis sur des sites e-commerce par Web Scrapping et par API.

Production

Requirements

• Python 3.4+
• VirtualEnv 12.1+
• PostgreSQL 9.4

Install

./install.sh

Run

./run.sh

Development

Requirements

• Python 3.4+
• VirtualEnv 12.1+
• PostgreSQL 9.4
• NPM 2.8+
• Node 0.12+
• Grunt-CLI 0.1.13+
• Ruby 2.2+
• Nginx (optional)

Install

./install-dev.sh

Install NLTK Corpus

./nltk-download.sh

Nginx config:

user www-data; # Nginx will be ran by this user, should NOT be root
worker_processes 4; # Number of core on the machine
pid /run/nginx.pid;

events {
    worker_connections 8096;
    multi_accept on;
    use epoll;
}

worker_rlimit_nofile 40000;

http {
    sendfile           on;
    tcp_nopush         on;
    tcp_nodelay        on;
    keepalive_timeout  15;

    server {
        listen 80;
        server_name test.flaskskeleton.com;

        location / {
            proxy_pass http://127.0.0.1:8333;
            proxy_set_header Host $host;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        }
    }
}

Nginx is used to better simulate the production environment, completely optional of course.

Run Server

./run-dev.sh

Celery

env/bin/celery -A app.config.config.celery worker --loglevel=debug

Redis

redis/src/redis-server

Assets compilation

Watches for modifications in assets:

grunt

Access the shell

env/bin/python manage.py shell

Creating Database

env/bin/python manage.py createDb

Load fixtures

env/bin/python manage.py loadFixtures

Create User

# From the Flask shell

from app.config.config import db
from app.models.user import *

UserActions.add_user("testteste", "Testtest12")
user = User.query.one()
user.active = True
db.session.commit()