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 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-0.1.0.tar.gz (6.4 kB view details)

Uploaded Source

File details

Details for the file scielo-clea-0.1.0.tar.gz.

File metadata

File hashes

Hashes for scielo-clea-0.1.0.tar.gz
Algorithm Hash digest
SHA256 b8fa46bb23e583923136a1aba60941ee4d07a0ba416d46ee7d9f85dda914a08e
MD5 34e0360c2df6674683bac4f8de2d4c2f
BLAKE2b-256 0be0437840fe7fd642c5e7c4612da9a48a9935ebeceef4c776b1fef3935370bd

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