Skip to main content

SciELO Publishing Schema XML document front matter metadata reader/sanitizer

Project description

Clea

This project is an XML front matter metadata reader for documents that almost follows the SciELO Publishing Schema, extracting and sanitizing the values regarding the affiliations.

Installation

Installation with minimal requirements, intended for use within Python, as an imported package:

pip install scielo-clea

Installation for use as a server:

pip install scielo-clea[server]

Running

You can run the development server using the flask CLI. For example, for listening at 8080 from every host:

FLASK_APP=clea.server flask run -h 0.0.0.0 -p 8080

In a production server with 4 worker processes for handling requests, you can, for example:

  • Install gunicorn (it's not a dependency)
  • Run gunicorn -b 0.0.0.0:8080 -w 4 clea.server:app

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

scielo-clea-0.1.1.tar.gz (6.4 kB view details)

Uploaded Source

File details

Details for the file scielo-clea-0.1.1.tar.gz.

File metadata

  • Download URL: scielo-clea-0.1.1.tar.gz
  • Upload date:
  • Size: 6.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.1

File hashes

Hashes for scielo-clea-0.1.1.tar.gz
Algorithm Hash digest
SHA256 35ba5e47fdc07ed45a3cda3cb1987e44af586d3775dc0a4b16237e0dcc5e87d8
MD5 60a6f1a9161b213d03084fc09b5aa199
BLAKE2b-256 c41721fb4b41b4998f42fcce8b28e0147139212d6577ef23ff742a76e83efe59

See more details on using hashes here.

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