TheArtOfPour-API

Backend API code for https://theartofpour.com

Python3 based API using eve-sqlalchemy and tensorflow

Thank you to everyone who attended my talk at this year’s HomebrewCon.

I’ll be working over the next few days on getting any remaining code/data deployed, as well as setting licenses and documentation.

Cheers!

Installing eve-sqlalchemy: pip install eve-sqlalchemy

Installing tensorflow: pip install tensorflow

Depending on your setup, you may also need the sqlalchemy drivers for your database.

Starting the API: python app.py

[CondaEnv] PS C:\TheArtOfPour\TheArtOfPour-API> python .\app.py
Using TensorFlow backend.
 * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)

Available endpoints

• GET /styles
• GET /yeast
• GET /hops
• GET /fermentables
• POST /test
  • REQUEST:

    {
    "yeast":"1",
    "fermentables":[
      {"id":"1","amount":"8"},
      {"id":"2","amount":"1"},
      {"id":"4","amount":"1"},
      {"id":"0","amount":"0"},
      {"id":"0","amount":"0"}
    ],
    "hops":[
      {"id":"3","amount":"0.75","time":"60"},
      {"id":"3","amount":"0.5","time":"30"},
      {"id":"3","amount":"0.5","time":"5"},
      {"id":"3","amount":"0.5","time":"0"},
      {"id":"0","amount":"0","time":"0"},
      {"id":"0","amount":"0","time":"0"},
      {"id":"0","amount":"0","time":"0"},
      {"id":"0","amount":"0","time":"0"},
      {"id":"0","amount":"0","time":"0"}
    ]
    }

  • RESPONSE:

    [
    {
      "style": "stout",
      "confidence": 61.5
    },
    {
      "style": "blonde ale",
      "confidence": 0.9
    },
    {
      "style": "american pale ale",
      "confidence": 2.4
    },
    {
      "style": "porter",
      "confidence": 4.8
    },
    {
      "style": "wheat beer",
      "confidence": 0.2
    },
    {
      "style": "imperial ipa",
      "confidence": 4.1
    },
    {
      "style": "american ipa",
      "confidence": 4.1
    },
    {
      "style": "brown ale",
      "confidence": 4.1
    },
    {
      "style": "saison",
      "confidence": 0.1
    },
    {
      "style": "kölsch/cream ale",
      "confidence": 0.2
    },
    {
      "style": "pilsner/bock",
      "confidence": 0.1
    },
    {
      "style": "american amber ale",
      "confidence": 3
    },
    {
      "style": "bitter",
      "confidence": 1.1
    },
    {
      "style": "specialty beer",
      "confidence": 13.3
    }
    ]

In progress

• GET /stats : querydsl based, freeform filter endpoint

@todo

• Make ingredient dimensions dynamic (crop to model inputs or allow ui to request)