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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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46 lines
1.8 KiB
46 lines
1.8 KiB
from django.conf import settings
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from django.contrib.auth.models import User
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from django.db.models.signals import m2m_changed, post_save, pre_delete
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from django.dispatch import receiver
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from .models import Project, Role, RoleMapping
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@receiver(post_save, sender=RoleMapping)
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def add_linked_project(sender, instance, created, **kwargs):
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if not created:
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return
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userInstance = instance.user
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projectInstance = instance.project
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if userInstance and projectInstance:
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user = User.objects.get(pk=userInstance.pk)
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project = Project.objects.get(pk=projectInstance.pk)
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user.projects.add(project)
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user.save()
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@receiver(m2m_changed, sender=Project.users.through)
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def remove_mapping_on_remove_user_from_project(sender, instance, action, reverse, **kwargs):
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# if reverse is True, pk_set is project_ids and instance is user.
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# else, pk_set is user_ids and instance is project.
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user_ids = kwargs['pk_set']
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if action.startswith('post_remove') and not reverse:
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RoleMapping.objects.filter(user__in=user_ids, project=instance).delete()
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elif action.startswith('post_add') and not reverse:
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admin_role = Role.objects.get(name=settings.ROLE_PROJECT_ADMIN)
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RoleMapping.objects.bulk_create(
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[RoleMapping(role=admin_role, project=instance, user_id=user)
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for user in user_ids
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if not RoleMapping.objects.filter(project=instance, user_id=user).exists()]
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)
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@receiver(pre_delete, sender=RoleMapping)
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def delete_linked_project(sender, instance, using, **kwargs):
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userInstance = instance.user
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projectInstance = instance.project
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if userInstance and projectInstance:
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user = User.objects.get(pk=userInstance.pk)
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project = Project.objects.get(pk=projectInstance.pk)
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user.projects.remove(project)
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user.save()
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