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What is this?

This is a command-line script to gather reading statistics on the language of the books read, based on the user's Goodreads reviews. If you read in multiple languages, maybe you'd like to make sure you're reading more or less equally in each language so that your skills in one don't atrophy too much.

Usage

When running the script, you'll be asked to authorise the application to collect your review data, then your statistics for the specified year will be displayed. As an example:

$ python rattle_cli.py --lang en fr ja --year 2016
Books read based on Goodreads reviews
en: 3
fr: 1
ja: 2

You can also see the detailed version.

$ python rattle_cli.py --lang en fr ja --year 2016 --details
Books read based on Goodreads reviews
en: 3
The Hero of Ages (Mistborn, #3), by Brandon Sanderson
The Well of Ascension (Mistborn, #2), by Brandon Sanderson
The Final Empire (Mistborn, #1), by Brandon Sanderson

fr: 1
Vol de nuit, by Antoine de Saint-Exupéry

ja: 2
探偵ガリレオ [Tantei Garireo] (ガリレオ, #1), by Keigo Higashino
陽気なギャングが地球を回す, by Kotaro Isaka

Let's say that like me you don't actually have a special shelf for books in English, because that's the default language you read in. In other words: if a book isn't shelved on either 'fr' or 'ja' then it's fair to assume it's in English.

$ python rattle_cli.py --lang fr ja --other --year 2016
Books read based on Goodreads reviews
default: 3
fr: 1
ja: 2

or

$ python rattle_cli.py --lang fr ja --other --other-label en --year 2016
Books read based on Goodreads reviews
en: 3
fr: 1
ja: 2

Getting started

Install the requirements:

$ pip install -r requirements.txt

Create a secrets.py file (at the same level as rattle_cli.py) set with the following variables:

api_key = "Reading"
api_secret = "All The Things"

You can get an API key and secret by logging into your Goodreads account and browing to https://www.goodreads.com/api/keys (you can put in bogus information, as long as you don't make lots and lots of call the Goodreads folks don't mind).

The first time you use the app, you'll have to authorise it:

$ python rattle_cli.py --languages en de --year 2016
Visit this URL in your browser: https://www.goodreads.com/oauth/authorize?oauth_token=abcdefz
Have you authorized me? (y/n)

Open the URL in the browser. Once you've allowed the app, you can return to the CLI and type in y. If it worked, you'll have to wait a little while your reviews are being fetched then the stats will be displayed.

$ python rattle_cli.py --languages en de --year 2016
Visit this URL in your browser: https://www.goodreads.com/oauth/authorize?oauth_token=abcdefz
Have you authorized me? (y/n) y
Books read based on Goodreads reviews
en: 23
de: 17

The access token and access token secrets will be stored in a .access_token file so you won't have to reauthorise next time. If there's ever authentication issues or 401 errors, you might want to delete that file and reauthorise the app again.

Versions

Tested with Python 3.4 to 3.7.

$ python rattle_cli.py --help

Known issues

If one retrieves the individual book details for a specific id, there is a language_code attribute present. I used shelves instead of this for a number of reasons:

  • It matches my own shelving system.
  • Not every book on Goodreads is associated with a language code, particularly older/less popular books. Sure, you could update Goodreads as you find issues but only Librarians can do that, so you'd need to apply and be approved for the role first, which isn't guaranteed.
  • The current system uses the user reviews list API, which takes only a few API calls to get through a user's entire list of books. Getting each book's details would take much longer, and in that case it'd probably be smarter to store the data in a database and make sure to only get the updated stuff (new books, modified read dates) afterward instead. Maybe someday. There are other cool stats the data could be used for.

Credits

This package was actually _not created with Cookiecutter and the audreyr/cookiecutter-pypackage project template, but when I decided to start fixing some missing bits that's where I went to look for them :)

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Simple reading stats (how many books per language shelf) based on Goodreads reviews

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