Skip to main content

Edit diffs and type detection for Wikipedia

Project description

Build status

mwedittypes

Edit diffs and type detection for Wikipedia. The goal is to transform unstructured edits to Wikipedia articles into a structured summary of what actions were taken in the edit.

Installation

You can install mwedittypes with pip:

$ pip install mwedittypes

Example

If one revision of wikitext is as follows:

{{Short description|Austrian painter}}
'''Karl Josef Aigen''' (8 October 1684 – 22 October 1762) was a landscape painter, born at Olomouc.

and a second revision of wikitext is as follows:

{{Short description|Austrian landscape painter}}
'''Karl Josef Aigen''' (8 October 1684 – 22 October 1762) was a landscape painter, born at [[Olomouc]].

The changes that happened would be:

  • The addition of landscape to the short description template -- this would be registered as a Template change.
  • The changing of Olomouc to a Wikilink.
  • Notably, despite this change to the template and addition of a link, the "Text" of the article has not changed.

This repository would return this in the following structure: {'Template':{'change':1}, 'Wikilink':{'insert':1}.

Basic Usage

>>> from mwedittypes import EditTypes
>>> prev_wikitext = '{{Short description|Austrian painter}}'
>>> curr_wikitext = '{{Short description|Austrian [[landscape painter]]}}'
>>> et = EditTypes(prev_wikitext, curr_wikitext, lang='en', timeout=5)
>>> et.get_diff()
{'Wikilink': {'insert': 1}, 'Template': {'change': 1}}

Development

We are happy to receive contributions though will default to keeping the code here relatively general (not overly customized to individual use-cases). Please reach out or open an issue for the changes you would like to merge so that we can discuss beforehand.

Code Summary

The code for computing diffs and running edit-type detection can be found in two files:

  • mwedittypes/tree_differ.py: this is the first stage of the diffing pipeline that detects high-level changes.
  • mwedittypes/node_differ.py: this is the second stage of the diffing pipeline that takes the tree_differ output, further processes it, and counts up the edit types.

While the diffing/counting is not trivial, the trickiest part of the process is correctly parsing the wikitext into nodes (Templates, Wikilinks, etc.). This is almost all done via the amazing mwparserfromhell library with a few tweaks in the tree differ:

  • We use link namespace prefixes -- e.g., Category:, Image: -- to separate out categories and media from other wikilinks.
  • We identify some additional media files that are transcluded via templates -- e.g., infoboxes -- or gallery tags.
  • We also add some custom logic for parsing <gallery> tags to identify nested links, etc., which otherwise are treated as text by mwparserfromhell.
  • We use custom logic for converting wikitext into text to best match what words show up in the text of the article.

To accurately, but efficiently, describe the scale of textual changes in edits, we also use some regexes and heuristics to describe how much text was changed in an edit in the node differ. This is generally the toughest part of diffing text but because we do not need to visually describe the diff, just estimate the scale of how much changed, we can use relatively simple methods. To do this, we break down text changes into five categories and identify how much of each changed: paragraphs, sentences, words, punctuation, and whitespace.

Testing

The tests for node/tree differs are contained within the tests directory. They can be run via pytest. We are not even close to full coverage yet given the numerous node types (template, text, etc.) and four actions (insert/remove/change/move) and varying languages for e.g., Text or Category/Media nodes, but we are working on expanding coverage.

Releases

When a release is ready, there are a few simple steps to take:

  • Update the version number in setup.py and mwedittypes/__init__.py per semantic versioning and push to Github.
  • Create a tag with the same version number (easiest to do this as part of the next step on Github).
  • Make a Github release with the new version and summary of changes. This will trigger the publish to PyPi action.

Troubleshooting:

  • If something fails, you can always rollback the release (Github UI) and delete the associated tag (on your local repository: git tag -d [tag]; git push origin :[tag]) and retry.
  • This relies on a PyPi secret so you must have correct privileges on the Github repo.

Documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mwedittypes-1.1.5.tar.gz (29.5 kB view details)

Uploaded Source

Built Distribution

mwedittypes-1.1.5-py3-none-any.whl (28.2 kB view details)

Uploaded Python 3

File details

Details for the file mwedittypes-1.1.5.tar.gz.

File metadata

  • Download URL: mwedittypes-1.1.5.tar.gz
  • Upload date:
  • Size: 29.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for mwedittypes-1.1.5.tar.gz
Algorithm Hash digest
SHA256 ad7b1b46053361a4c03335e02e262548a466777298b1bda8b0a503559b235fc5
MD5 a4d7061a6295b41d2a591bce6d8dd335
BLAKE2b-256 b5aca70f0307a6a09a78e88842775d3dd1c2414e55301c1f8d025c1be801aa67

See more details on using hashes here.

Provenance

File details

Details for the file mwedittypes-1.1.5-py3-none-any.whl.

File metadata

  • Download URL: mwedittypes-1.1.5-py3-none-any.whl
  • Upload date:
  • Size: 28.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.13

File hashes

Hashes for mwedittypes-1.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 127dfa1f5571e77d1c4bb810b35b88059a96c6630a8bb64ccc4bd4a5d319c369
MD5 3f77473c53d7da23c3b048c04ee84032
BLAKE2b-256 4268174f8b342acc3a031162c66c550d029ee275cf729a4c87624f2ab25f25f7

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page