94 lines
3.6 KiB
Python
94 lines
3.6 KiB
Python
# mysite/api/graphene_wagtail.py
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# Taken from https://github.com/patrick91/wagtail-ql/blob/master/backend/graphene_utils/converter.py and slightly adjusted
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import logging
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from graphene.types import Scalar
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from graphene_django.converter import convert_django_field
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from graphql_relay import to_global_id
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from wagtail.core.fields import StreamField
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from wagtail.images.models import Image
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from assignments.models import Assignment
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from basicknowledge.models import BasicKnowledge
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from surveys.models import Survey
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logger = logging.getLogger(__name__)
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class GenericStreamFieldType(Scalar):
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@staticmethod
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def serialize(stream_value):
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raw_data = stream_value.raw_data
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return list(augment_fields(raw_data))
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def augment_fields(raw_data):
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for data in raw_data:
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if isinstance(data, dict):
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_type = data['type']
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if _type == 'image_block':
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_value = data['value']
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value = {
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# 'value': _value,
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# 'id': d['id'],
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'path': Image.objects.get(id=_value).file.url
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}
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data['value'] = value
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if _type == 'assignment':
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_value = data['value']
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assignment_id = _value['assignment_id']
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try:
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assignment = Assignment.objects.get(pk=assignment_id)
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value = {
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'title': assignment.title,
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'assignment': assignment.assignment,
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'id': to_global_id('AssignmentNode', assignment.pk)
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}
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data['value'] = value
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except Assignment.DoesNotExist:
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logger.error('Assignment {} does not exist'.format(assignment_id))
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if _type == 'survey':
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_value = data['value']
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survey_id = _value['survey_id']
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try:
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survey = Survey.objects.get(pk=survey_id)
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value = {
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'title': survey.title,
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'id': to_global_id('SurveyNode', survey.pk)
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}
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data['value'] = value
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except Survey.DoesNotExist:
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logger.error('Survey {} does not exist'.format(survey_id))
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if _type == 'basic_knowledge' or _type == 'instrument':
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_value = data['value']
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basic_knowledge = BasicKnowledge.objects.get(pk=_value['basic_knowledge'])
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_value.update({
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'slug': basic_knowledge.slug
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})
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data['value'] = _value
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# value = dict(d['value'])
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# if 'document' in value:
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# value['document'] = Document.objects.get(id=value['document']).file.url
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# if 'image' in value:
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# value['image'] = Image.objects.get(id=value['image']).file.url
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# else:
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# _type = d[0]
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# value = dict(d[1])
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# if 'document' in value:
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# value['document'] = value['document'].file.url
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# if 'image' in value:
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# value['image'] = value['image'].file.url
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if _type == 'content_list_item':
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item_data = data['value']
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data['value'] = augment_fields(item_data)
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return raw_data
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@convert_django_field.register(StreamField)
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def convert_stream_field(field, registry=None):
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return GenericStreamFieldType(description=field.help_text, required=not field.null)
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