ExtractorsΒΆ

One of the major features of Clowder is the ability to deploy custom extractors for when files are uploaded to the system. A full list of extractors is available in Bitbucket.

To write new extractors, pyClowder2 is a good starting point. It provides a simple Python library to write new extractors in Python. Please see the sample extractors directory for examples. That being said, extractors can be written in any language that supports HTTP, JSON and AMQP (ideally a RabbitMQ client library is available for it).

Clowder capture several events and sends out specific messages for each. Extractors that are registered for a specific event type will receive the message and can then act on it. This is defined in the extractor manifest.

The current list of supported events is:

  • File uploaded
  • File added to dataset
  • File Batch uploaded to dataset
  • File remove from dataset
  • Metadata added to file
  • Metadata remove from file
  • Metadata added to dataset
  • Metadata removed from dataset
  • File/Dataset manual submission to extractor