#Food and Stuff (EC601) ##Demo v0.4 is live at http://foodandstuff.us.to:8080 #####Technologies used are Python 2.7.12 with SQLite, Mrjob, Flask_googlemaps, Pandas, NumPy, Flask with NGINX, Html5, JavaScript, Bootstrap, Jinja2, Google maps API, Charts.js, SQLAlchemy

###How to run: ####The project files are inside the "ML Engine" folder. #####Requirements:

1. python 2.7.12 with sqlite

2. Extract dataset file (linked_cate_name.json) inside the "ML Engine Folder"

Link to dataset: https://github.com/saurabh21289/EC601-Food-and-Stuff/raw/master/linked_cate_name.zip -or- https://www.dropbox.com/s/v8ko9iy8ot7in7f/dataset.zip?dl=0

Note: The zip file above contains "linked_cate_name.json" which is our pre-processed dataset. Ensure that you place this file inside the "ML Engine" folder so that server.py can locate it.

#####Compatibility: Windows 8.1/10 and Ubuntu 14.04. Also tested on macOS.

#####Step 1: Setup python environment (may need sudo on Linux)

pip install Flask-SqlAlchemy wtforms flask flask_googlemaps

#####Step 2: Setup database (may need sudo for Linux)

python tabledef.py

######Populate database with dummy data (may need sudo for Linux)

python dummy.py

#####Step 3: Running the application without NGINX

######For both Windows 10 and Linux:

python server.py

######Tip: If want to use NGINX, install uWSGI using sudo pip install uwsgi. Then run:

./start.sh

#####The server runs on http://localhost:5000 by default. If you want to host on a different port, change inside server.py for Windows/Linux and in start.sh for Linux with NGINX. ####Feel free to reach out at ssingh02@bu.edu if you have any trouble running this application.