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I've broken out the OCR-specific code from the consumers and dumped it
all into its own app, `paperless_tesseract`. This new app should serve
as a sample of how to create one's own consumer for different file
types.
Documentation for how to do this isn't ready yet, but for the impatient:
* Create a new app
* containing a `parsers.py` for your parser modelled after
`paperless_tesseract.parsers.RasterisedDocumentParser`
* containing a `signals.py` with a handler moddelled after
`paperless_tesseract.signals.ConsumerDeclaration`
* connect the signal handler to
`documents.signals.document_consumer_declaration` in
`your_app.apps`
* Install the app into Paperless by declaring
`PAPERLESS_INSTALLED_APPS=your_app`. Additional apps should be
separated with commas.
* Restart the consumer
17 lines
360 B
Python
17 lines
360 B
Python
from django.apps import AppConfig
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class PaperlessTesseractConfig(AppConfig):
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name = "paperless_tesseract"
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def ready(self):
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from documents.signals import document_consumer_declaration
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from .signals import ConsumerDeclaration
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document_consumer_declaration.connect(ConsumerDeclaration.handle)
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AppConfig.ready(self)
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