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A python module and REST API for automatic extraction of metadata from PDF files

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NationalLibraryOfNorway/meteor

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METEOR - Metadata extraction from public reports

A web service to extract metadata from a public reports. Input can be either a PDF with a text layer, or a directory containing ALTO XML files.

Start the program

Requires Python 3.11

First time:

git clone git@github.com:NationalLibraryOfNorway/meteor.git
cd meteor
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Copy and edit the env file to set MOUNT_FOLDER to the local path that will be available to the web service's /file endpoint.

cp .env.example .env

Finally, start the flask app (debug mode optional, reloads service automatically after file change):

uvicorn main:app --reload --port=5000

Then open http://127.0.0.1:5000

or use curl

curl http://127.0.0.1:5000/file/<name of file in MOUNT_FOLDER>

curl -F fileInput=@/path/to/file.pdf http://127.0.0.1:5000/json

curl -d fileUrl=https://www.link.to/report.pdf http://127.0.0.1:5000/json

Local development

After installing requirements, run pre-commit install. This adds a pre-commit PEP8 compliance check.

Installing the python module

In order to install the core module metadata_extract, simply run:

python3 -m pip install .

Usage:

>>> from metadata_extract import meteor
>>> m = meteor.Meteor()
>>> results = m.run('/path/to/file.pdf')

Extracted fields

For now, the program attempts to identify:

  • ISBN
  • ISSN
  • Title
  • Publisher
  • Publication year
  • Language
  • Authors
  • Publication type

Norwegian Authority File

Publisher names can be looked for in the Norwegian Authority File.

To build a database from the registry's API, define the environment variables as described in .env.example then run script.sh in the registry directory.

The resulting database will contain all entries of type corporations (MARC field 110 is present) and of quality level kat2 and kat3 (in MARC field 901).

License

The code in this repository is licensed under Apache License 2.0. Please note that the gielladetect library is licended under GPLv3, while Meteor is licensed under the Apache License 2.0. The licenses are compatible, but depending on legal interpretation, the terms of the GPLv3 (for example the requirement to publish corresponding source code when publishing an executable application) may be considered to apply to the whole of Meteor+gielladetect if you decide to install the optional gielladetect dependency. Note that the image published on DockerHub is built with gielladetect and thus falls under GPLv3.

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A python module and REST API for automatic extraction of metadata from PDF files

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