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)