44 lines
1.6 KiB
Python
44 lines
1.6 KiB
Python
from django.db import models
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class CareerTestResult(models.Model):
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PROFILE_CHOICES = [
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('R', 'Практик'),
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('I', 'Исследователь'),
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('A', 'Творец'),
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('S', 'Социальный'),
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('E', 'Лидер'),
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('C', 'Организатор'),
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]
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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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# Данные от пользователя
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ym_client_id = models.CharField(max_length=64, null=True, blank=True, db_index=True)
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ip_address = models.GenericIPAddressField(null=True, blank=True)
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user_agent = models.TextField(null=True, blank=True)
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# Ответы (q1-q24)
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answers = models.JSONField(default=dict)
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# Результаты расчёта
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profile = models.CharField(max_length=1, choices=PROFILE_CHOICES)
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top3_profiles = models.JSONField(default=list) # ['I', 'E', 'C']
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# Рекомендованные наборы ЕГЭ
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recommended_ege_sets = models.JSONField(default=list)
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# Для отправки в Метрику
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uploaded_to_metrica = models.BooleanField(default=False)
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class Meta:
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verbose_name = "Результат теста"
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verbose_name_plural = "Результаты тестов"
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ordering = ['-created_at']
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indexes = [
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models.Index(fields=['ym_client_id', '-created_at']),
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]
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def __str__(self):
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return f"Тест {self.get_profile_display()} от {self.created_at.strftime('%d.%m.%Y %H:%M')}" |