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Tools for processing Untappd Supporter export data
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daily_visualisation.py
imbibed.py
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stock_check.py
utils.py

README.md

untappd-tools

Build Status

Tools for processing Untappd Supporter export data

This is code documentation intended for technical users. General documentation can be found at beerbot.phase.org or in the docs folder.

imbibed.py

Build a CSV of daily & weekly consumption from your Beer History JSON export.

To increase accuracy, include the measure size in square brackets in your checkin comments, eg [third], [300ml], [2/3pint]. Otherwise standard sizes are guessed from the serving type; edit these default values to your needs.

Usage:

./imbibed.py data/input.json --output data/output.csv --weekly|--daily|--style|--brewery

Choose a summary type from one of --weekly, --daily, --style, --brewery

Run with --help for further details

Note This script is designed to help monitor healthy levels of consumption, not as a scorekeeper.

Filtering

You can use zero or more --filter clauses to select only certain rows, according to the JSON keys in the export.

The syntax is "--filter=KEY|OPERATOR|VALUE", eg "--filter=created_at>2018-11" "--filter=created_at<2019"

Where:

  • KEY is the case sensitive JSON key from the source file. Useful ones include created_at, venue_name, venue_country
  • OPERATOR is one of:
    • = Match
    • ^ No match
    • > Greater than
    • < Less than
    • ~ Starts with
    • ? Contains
  • VALUE is the value to compare against, in a case insensitive manner. Leaving the value blank with = allows matching of an empty field. Note that all values are processed as strings, so created_at>2018-11 will include everything from 2018-11-01 onwards

Use of quotes (") around the arguments will usually be required to avoid them being intercepted by the shell command line.

stock_check.py

Generate a CSV taplist of beers, ordered by expiry date, from a JSON export of a detailed list, plus a summary of styles in your collection.

To be effective, you'll need to populate best before dates, containers and quantities in your list.

Usage:

./stock_check.py data/input.json --output data/output.csv

Run with --help for further details

daily_visualisation.py

Generate a graphical visualisation of your past daily consumption as a SVG image.

As with imbibed.py, adding measures to your checkins helps with precision - however you can also just visualise number of drinks by day.

Usage:

./daily_visualisation.py data/input.json --output data/output.svg --legend

Run with --help for further details

Installation and requirements

These scripts are designed for use for those with some experience of running python code. End-user support cannot be provided.

Python 3 is required (see https://realpython.com/installing-python/)

Everything below runs in your terminal.

Clone the repo with git (if you're familiar with that):

git clone git@github.com:parsingphase/untappd-tools.git

Or grab a release from the releases page and unpack it.

Once you've got the code, change into its directory, then set it up. You've got two choices here:

1) Install manually

  • Ensure you have python3 and pipenv installed, then run pipenv install (you only need to do this once).
  • Then load the environment with pipenv shell
  • You can now run the scripts as documented above:
    • ./stock_check.py --help or ./imbibed.py --help

2) Use the init.sh helper script

This will check your system, provide advice, fetch dependencies and load the environment:

  • run ./init.sh
  • You can now run the scripts as documented above:
    • ./stock_check.py --help or ./imbibed.py --help

Package & update Lambda:

Advanced topic:

An AWS lambda script exists that can receive the Untappd export emails and parse them. Setting up the required AWS services is out of scope for this document, but the build script for the lambda also validates all the source code of these tools.

To validate the code:

./build.sh --validate

To upload a rebuilt lambda:

./build.sh --upload

These arguments can be combined.

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