codein / food_truck

a service that tells the user what types of food trucks might be found near a specific location on a map.

food_truck

A service that tells the user what types of food trucks might be found near a specific location on a map. A demo version is hosted at http://146.148.41.202:8887/static/index.html

Overview

• Features
• Codebase overview
• Setup
  • Data loading.
  • Starting server.
  • Running unitest.
• Development
• Improvements

Features

• A the landing page the user two option to find food trucks in a specific location

  1. The user could directly click on a location on the map.
  2. The user can choose to click on one of the suggested locations. (for ex. "Financial District") In both the scenarios, the app will behave as follows Firstly, zoom down to the location. Secondly, drop markers for food trucks found around that area. Finally will render records for each food truck in the left search result listings section.

• Markers have alphabetically label to correspond to records in the listing sections.

• Clicking on the address on the record in the listing section, will animate it's coresponding marker.

Codebase overview

The codebase mainly consists of

• App code in src\app.coffee and index.html
• Server code in server.py and it's unitest in api_test.py
• Finally the code data\data_engineering.py and data\sql_orm.py that is used to transform/engineer the data and load it into mysql sqlAlchamey ORM.

Setup

• the setup involves primarily going through ./setup.sh

  • Data loading.

      # setup db
      python data/sql_orm.py
      # load data
      cd data
      python data_engineering.py
  

  • Starting server.

  ./run_server.sh
  

  • Running unitest.

  ./test_runnner.sh
  

Development

Grunt is used to compiling src\app.coffee into js/index.js

grunt watch

on saving a .coffee file grunt compiles coffescript into javascript.

Improvements

• Implement paging of query results
• Ansible scriptsfor automation around setup
• User should be able to control the serach radius around a user specified location.
• Identify and remove duplicate food trucks in same location with the same ownership.
• use grunt to minify the compiled js.
• Add ability to narrow down to a location using a search inplimentation.
• use nginx to load balance
• use redis to cache results