36a51eeb73
Instead of inserting the path of the apps into the Python app, the apps are now referenced by their full import path. This solves name clashes with external or native Python libraries. Example: Mayan statistics app vs. Python new statistics library. Every app reference is now prepended with 'mayan.apps'. Existing config.yml files need to be updated manually. Signed-off-by: Roberto Rosario <roberto.rosario.gonzalez@gmail.com>
80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
from __future__ import unicode_literals
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from django.apps import apps
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import logging
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from mayan.apps.document_indexing.tasks import task_index_document
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from .tasks import task_add_required_metadata_type, task_remove_metadata_type
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logger = logging.getLogger(__name__)
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def post_document_type_metadata_type_add(sender, instance, created, **kwargs):
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logger.debug('instance: %s', instance)
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if created and instance.required:
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task_add_required_metadata_type.apply_async(
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kwargs={
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'document_type_id': instance.document_type.pk,
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'metadata_type_id': instance.metadata_type.pk
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}
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)
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def post_document_type_metadata_type_delete(sender, instance, **kwargs):
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logger.debug('instance: %s', instance)
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task_remove_metadata_type.apply_async(
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kwargs={
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'document_type_id': instance.document_type.pk,
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'metadata_type_id': instance.metadata_type.pk
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}
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)
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def post_document_type_change_metadata(sender, instance, **kwargs):
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logger.debug('received post_document_type_change')
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logger.debug('instance: %s', instance)
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# Delete existing document metadata types not found in the new document
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# type
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# First get the existing metadata types not found in the new document
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# type
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unneeded_metadata = instance.metadata.exclude(
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metadata_type__in=instance.document_type.metadata.values(
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'metadata_type'
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)
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)
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# Remove the document metadata whose types are not found in the new
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# document type
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for metadata in unneeded_metadata:
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metadata.delete(enforce_required=False)
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DocumentMetadata = apps.get_model(
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app_label='metadata', model_name='DocumentMetadata'
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)
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# Add the metadata types of the new document type to the document
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# excluding existing document metadata
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# get_or_create is not used to avoid a possible triggering of indexes
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# or workflow on document change by metadata save signal
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new_document_type_metadata_types = instance.document_type.metadata.filter(
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required=True
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).exclude(metadata_type__in=instance.metadata.values('metadata_type'))
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for document_type_metadata_type in new_document_type_metadata_types:
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DocumentMetadata.objects.create(
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document=instance,
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metadata_type=document_type_metadata_type.metadata_type,
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value=document_type_metadata_type.metadata_type.default
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)
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def handler_index_document(sender, **kwargs):
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task_index_document.apply_async(
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kwargs=dict(document_id=kwargs['instance'].document.pk)
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)
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