Restaurants Finder

Description

This project is a demo that shows several things explained in the Skylab Coders Bootcamps (Autumn 2016 Edition). It uses the restaurants collection provided in the official Mongo site

Can be seen online at: https://restaurantsfinder.herokuapp.com/

## Topics

Topics covered in this demo:

• API endpoints using data from a MongoDb collection to retrieve data or perform actions:
  • GET /restaurants → get all restaurants
  • GET /restaurants/borough/:borough → get restaurants by borough
  • GET /restaurants/cuisine/:cuisine → get restaurants by cuisine
  • GET /restaurants/cuisine/not/:cuisine → get restaurants by NOT cuisine
  • GET /restaurant/:id → get restaurant by ID
  • POST /restaurant/:id → update restaurant
  • GET /:id/around/:km → get restaurants by proximity
  • GET /boroughs → get boroughs
  • GET /cuisines → get cuisines
• API endpoints accepting parameters to filter results
  • ?limit=10 → limit to 10 results
  • ?page=2 → show page 2 according to the limit to 10 results
  • ?show=borough,name → show only this fields
  • ?hide=_id → hide these fields
• Angular App using this data to display the info to the user
  • controllers
  • directives
  • services
  • routes
• Use of Bootstrap for Angular ui.bootstrap (Modals, dropdowns...)
• Results pagination
• Google Maps
  • Display coordinates as markers in the map → marker
  • Fit the map to markers → bounds
  • Zoom the map for details → setPan
  • Draggable marker and capture event and new coordinates → draggable: true
• Upload images to AWS (S3) and get remote link to use it in the DB
• Login & Register w/ Passport (Local) & JWT
  • Remember me → localStorage or sessionStorage
• Roles System (admin)
• bower to manage client dependencies
• npm to manage server dependencies

Installation

To run local server you need to create a .env w/ the following variables...

S3_BUCKET=XXXXXXXXXXXXXXXX
AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXX
AWS_SECRET_ACCESS_KEY=XXXXXXXXXXXXXXXX
DB_URI=mongodb://localhost:27017/XXXXX
SECRET=XXXXXXXXXXXXXXXX

With this, to start the project you just can do...

npm run dev

To run remotely (in heroku) the proper environment variables should be set before deploying...

heroku config:set S3_BUCKET=XXXXXXXXXXXXXXXXXXXXXXXX
heroku config:set AWS_ACCESS_KEY_ID=XXXXXXXXXXXXXXXXXXXXXXXX
heroku config:set AWS_SECRET_ACCESS_KEY=XXXXXXXXXXXXXXXXXXXXXXXX
heroku config:set DB_URI=mongodb://<%USER%>:<%PASS%>@XXXXXXXXX.mlab.com:00000/xxxxxxxxxxx
heroku config:set ENVIRONMENT=production
heroku config:set SECRET=XXXXXXXXXXXXXXX