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pythonannotation-tooldatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learning
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33 lines
1.3 KiB
33 lines
1.3 KiB
from typing import List
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from django.shortcuts import get_object_or_404
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from examples.assignment.strategies import StrategyName, create_assignment_strategy
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from examples.models import Assignment, Example
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from projects.models import Member, Project
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def bulk_assign(project_id: int, strategy_name: StrategyName, member_ids: List[int], weights: List[int]) -> None:
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project = get_object_or_404(Project, pk=project_id)
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members = Member.objects.filter(project=project, pk__in=member_ids)
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if len(members) != len(member_ids):
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raise ValueError("Invalid member ids")
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# Sort members by member_ids
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members = sorted(members, key=lambda m: member_ids.index(m.id))
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index_to_user = {i: member.user for i, member in enumerate(members)}
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unassigned_examples = Example.objects.filter(project=project, assignments__isnull=True)
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index_to_example = {i: example for i, example in enumerate(unassigned_examples)}
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dataset_size = unassigned_examples.count()
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strategy = create_assignment_strategy(strategy_name, dataset_size, weights)
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assignments = strategy.assign()
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assignments = [
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Assignment(
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project=project,
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example=index_to_example[assignment.example],
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assignee=index_to_user[assignment.user],
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)
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for assignment in assignments
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]
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Assignment.objects.bulk_create(assignments)
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