Skip to main content

DRB Metadata Extractor

Project description

DRB Metadata Extractor

It's an applicative part using DRB allowing to extract metadata from data according its topic.

Metadata

How to extract metadata ?

from drb.metadata import MetadataAddon
import drb.topics.resolver as resolver


if __name__ == '__main__':
    topic, node = resolver.resolve('<my_resource_url>')
    # topic keyword argument is not mandatory
    metadata = MetadataAddon().apply(node, topic=topic)
    for md_name, md in metadata.items():
        print(md_name, ' -- ', md.extract())

How to define metadata ?

Metadata are defined in a cortex.yaml file following the template:

drbItemClass: <topic_uuid>           # target topic
variables:                           # variable list
  - name: <var_name>                   # variable name
    <extractor>: <extractor_content>   # an extractor
metadata:                            # metadata list
  - name: my_metadata                  # metadata name
    <extractor>: <extractor_content>   # an extractor
  • metadata are applied to their target topic and its derivatives
  • inherited metadata is override if it's redefined in a derivative topic
  • variables are not transitive between a topic and its derivatives

Packaging

The package python containing metadata of a DRB topic must have the following instruction:

  • a drb.metadata entry point whose its value is the targeted Python package containing the cortex.yaml file

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

drb_metadata-1.4.1.tar.gz (26.0 kB view details)

Uploaded Source

Built Distribution

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

drb_metadata-1.4.1-py3-none-any.whl (7.7 kB view details)

Uploaded Python 3

File details

Details for the file drb_metadata-1.4.1.tar.gz.

File metadata

  • Download URL: drb_metadata-1.4.1.tar.gz
  • Upload date:
  • Size: 26.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for drb_metadata-1.4.1.tar.gz
Algorithm Hash digest
SHA256 59dfd8a50dfc2602d15cd79a324388c4bb62069ca4ec203b5388668320a12b3f
MD5 42db779802c472e59d661fe4f467e9b3
BLAKE2b-256 f61fff6bfc3f7b8200c7b3152e53e79474f5981399303ac33b5e2c1ec10b0a50

See more details on using hashes here.

File details

Details for the file drb_metadata-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: drb_metadata-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 7.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for drb_metadata-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b6f9ed944194592a1f233ea935c7daad6b72d7f9e9f9022f14875aeedb3cb56d
MD5 10188f5055bc12f484194efd6ad438f7
BLAKE2b-256 95d40fa7dae2363889b6296b7acf2cc428dc656ff2d18a28e5c5bb5971d8f5b4

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