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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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98 lines
2.7 KiB
98 lines
2.7 KiB
from typing import List
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from django.conf import settings
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from model_mommy import mommy
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from projects.models import (
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DOCUMENT_CLASSIFICATION,
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IMAGE_CLASSIFICATION,
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INTENT_DETECTION_AND_SLOT_FILLING,
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SEQ2SEQ,
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SEQUENCE_LABELING,
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SPEECH2TEXT,
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Member,
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Role,
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)
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from roles.tests.utils import create_default_roles
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from users.tests.utils import make_user
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class ProjectData:
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def __init__(self, item, members):
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self.item = item
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self.members = members
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@property
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def admin(self):
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return self.members[0]
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@property
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def approver(self):
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return self.members[1]
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@property
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def annotator(self):
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return self.members[2]
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@property
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def staffs(self):
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return [self.approver, self.annotator]
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def assign_user_to_role(project_member, project, role_name):
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role, _ = Role.objects.get_or_create(name=role_name)
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if Member.objects.filter(user=project_member, project=project).exists():
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mapping = Member.objects.get(user=project_member, project=project)
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mapping.role = role
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mapping.save()
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else:
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mapping = Member.objects.get_or_create(role_id=role.id, user_id=project_member.id, project_id=project.id)
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return mapping
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def make_project(task: str, users: List[str], roles: List[str], collaborative_annotation=False, **kwargs):
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create_default_roles()
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# create users.
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users = [make_user(name) for name in users]
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# create a project.
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project_model = {
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DOCUMENT_CLASSIFICATION: "TextClassificationProject",
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SEQUENCE_LABELING: "SequenceLabelingProject",
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SEQ2SEQ: "Seq2seqProject",
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SPEECH2TEXT: "Speech2TextProject",
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IMAGE_CLASSIFICATION: "ImageClassificationProject",
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INTENT_DETECTION_AND_SLOT_FILLING: "IntentDetectionAndSlotFillingProject",
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}.get(task, "Project")
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project = mommy.make(
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_model=project_model,
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project_type=task,
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collaborative_annotation=collaborative_annotation,
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created_by=users[0],
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**kwargs,
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)
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# assign roles to the users.
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for user, role in zip(users, roles):
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assign_user_to_role(user, project, role)
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return ProjectData(item=project, members=users)
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def make_tag(project):
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return mommy.make("Tag", project=project)
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def prepare_project(task: str = "Any", collaborative_annotation=False, **kwargs):
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return make_project(
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task=task,
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users=["admin", "approver", "annotator"],
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roles=[
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settings.ROLE_PROJECT_ADMIN,
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settings.ROLE_ANNOTATION_APPROVER,
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settings.ROLE_ANNOTATOR,
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],
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collaborative_annotation=collaborative_annotation,
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**kwargs,
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)
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