Skip to main content

Toolkit for the Målfrid project

Project description

Maalfrid toolkit

maalfrid_toolkit is a Python package designed for crawling and extracting natural language data from documents found on the web (HTML, PDF, DOC). It is primarily used in the Målfrid project, a collaboration between the National Library of Norway and The Language Council of Norway, which aims to measure the usage of the two official Norwegian language forms, Bokmål and Nynorsk, on Norwegian public sector websites. While the toolkit has a particular emphasis on the Nordic countries, it supports extraction and language detection of more than 60 languages.

It builds upon:

Install

Install with pip

pip install git+https://github.com/NationalLibraryOfNorway/maalfrid_toolkit

Install with pdm

pdm install

OS-level dependencies (tested with Ubuntu 24.04)

For fasttext

sudo apt-get install build-essential python3-dev

For .doc text extraction

sudo apt-get install antiword

Test run crawl

pdm run python3 -m maalfrid_toolkit.crawl src/maalfrid_toolkit/crawljobs/example.com.yaml

Test run pipeline

On HTML

pdm run python -m maalfrid_toolkit.pipeline --url https://www.nb.no/utstilling/opplyst-glimt-fra-en-kulturhistorie/ --verbose

On PDF

pdm run python -m maalfrid_toolkit.pipeline --url https://www.nb.no/sbfil/dok/nst_taledat_dk.pdf --verbose

On DOC

pdm run python -m maalfrid_toolkit.pipeline --url https://www.nb.no/content/uploads/2018/11/Søknadsskjema-Bokhylla-2.doc

On WARC file (e.g. from self-crawled material)

pdm run python -m maalfrid_toolkit.pipeline --warc_file example_com-00000.warc.gz --verbose

Database (Postgres)

If you want to store and process the data further in a database, setup a Postgres database and enter your credentials in an .env file in the package root directory (see env-example). Be sure to populate the database with schema and indices found in db/ prior to running the commands in maalfrid_toolkit.db.

A note on using Browsertrix

In order to use Browsertrix for crawling JavaScript-heavy pages and extract text from HTML, you must currently clone a custom Browsertrix from:

https://github.com/Sprakbanken/browsertrix-crawler/tree/add-dom-resource

Then build with Docker:

docker build -t maalfrid-browsertrix .

License

GPL

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

maalfrid_toolkit-1.0.0.tar.gz (1.1 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

maalfrid_toolkit-1.0.0-py3-none-any.whl (705.3 kB view details)

Uploaded Python 3

File details

Details for the file maalfrid_toolkit-1.0.0.tar.gz.

File metadata

  • Download URL: maalfrid_toolkit-1.0.0.tar.gz
  • Upload date:
  • Size: 1.1 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.24.1 CPython/3.12.3 Linux/6.8.0-58-generic

File hashes

Hashes for maalfrid_toolkit-1.0.0.tar.gz
Algorithm Hash digest
SHA256 b87d4eef57deb1bb2045e8ed90063828c273139eb27ab44d9538105f115b433d
MD5 60b0bf5872346cc5ff28576401205f6b
BLAKE2b-256 ebd19e23e218e1b6e714d4e67fe708fd64e14884c3a5424e7cbae2fe8b5a1879

See more details on using hashes here.

File details

Details for the file maalfrid_toolkit-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: maalfrid_toolkit-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 705.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: pdm/2.24.1 CPython/3.12.3 Linux/6.8.0-58-generic

File hashes

Hashes for maalfrid_toolkit-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 eeb58bd7ef478dadd71ce17732f4c4bd75c484bf5725ae8b2c0aa4668119bc08
MD5 b64eb37e2446f9c5254c98f9d58a0405
BLAKE2b-256 14f854c08cf90d1a24843c4c9e3bfdbf1a805cc943f808c8fa1128b3b15c0b81

See more details on using hashes here.

Supported by

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