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pythondatasetsactive-learningtext-annotationdatasetnatural-language-processingdata-labelingmachine-learningannotation-tool
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32 lines
1.3 KiB
32 lines
1.3 KiB
from auto_labeling_pipeline.models import RequestModelFactory
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from django.core.exceptions import ValidationError
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from django.db import models
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from projects.models import Project
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class AutoLabelingConfig(models.Model):
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TASK_CHOICES = (("Category", "category"), ("Span", "span"), ("Text", "text"), ("Relation", "relation"))
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model_name = models.CharField(max_length=100)
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model_attrs = models.JSONField(default=dict)
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template = models.TextField(default="")
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label_mapping = models.JSONField(default=dict, blank=True)
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project = models.ForeignKey(to=Project, on_delete=models.CASCADE, related_name="auto_labeling_config")
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task_type = models.CharField(max_length=100, choices=TASK_CHOICES)
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default = models.BooleanField(default=False)
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created_at = models.DateTimeField(auto_now_add=True)
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updated_at = models.DateTimeField(auto_now=True)
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def __str__(self):
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return self.model_name
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def clean_fields(self, exclude=None):
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super().clean_fields(exclude=exclude)
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try:
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RequestModelFactory.find(self.model_name)
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except NameError:
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message = f"The specified model name {self.model_name} does not exist."
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raise ValidationError(message)
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except Exception:
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message = "The attributes does not match the model."
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raise ValidationError(message)
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