What Dishes and their Ingredients Have the Highest Water Footprint?

Requirements

1. Make sure you have python 2.7 installed
2. pip install -r requirements.txt
3. Make sure you have a local MongoDB installed
4. Import collections manually/run python scripts to load collections into MongoDB. To import the collections manually:
   • Download the files (through the browser) from https://mega.nz/#!8lFSEJzQ!O_VO7tkOZSf_LZPI6tEsxZ3LhqvrseNjAyH0-gR130U
   • Start the local mongodb on default port: mongod
   • Create collections (given that the files are in the same directory)
   • mongoimport -d water_footprint -c animal_products --file animal_products.json
   • mongoimport -d water_footprint -c crop_products --file crop_products.json
   • mongoimport -d water_footprint -c crop_products_aggregated_by_category --file crop_products_aggregated_by_category.json
   • mongoimport -d water_footprint -c crop_products_by_category --file crop_products_by_category.json
   • mongoimport -d water_footprint -c ingredient_to_waterfootprint --file ingredient_to_waterfootprint.json
   • mongoimport -d water_footprint -c recipes_2 --file recipes_2_water.json

To get the backend application running

1. Make sure you have a local mongodb instance running: mongod
2. cd into gui-prototype
3. Run python app.py
4. Navigate to localhost:5000 in your favourite browser