91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
from django.db import models
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from inventory.models import Dealer
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from django.contrib.auth.models import User
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from django.conf import settings
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from django.utils import timezone
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class ChatLog(models.Model):
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"""
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Handles storage and representation of chat logs between users and chatbot.
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This class is designed to store chat logs, which include user messages, chatbot
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responses, their associated dealer, and timestamps of when the chat entries are
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created. It supports linking chat logs to a specific dealer using a foreign key
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relationship. The class provides an easy and structured way to manage and retrieve
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historical chat data.
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:ivar dealer: The dealer associated with this chat log.
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:type dealer: Dealer
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:ivar user_message: The message sent by the user.
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:type user_message: str
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:ivar chatbot_response: The response generated by the chatbot.
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:type chatbot_response: str
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:ivar timestamp: The date and time when the chat log entry was created.
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:type timestamp: datetime
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"""
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dealer = models.ForeignKey(Dealer, on_delete=models.CASCADE, related_name='chatlogs', db_index=True)
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user_message = models.TextField()
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chatbot_response = models.TextField()
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timestamp = models.DateTimeField(auto_now_add=True, db_index=True)
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class Meta:
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ordering = ['-timestamp']
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indexes = [
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models.Index(fields=['dealer', 'timestamp']),
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]
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def __str__(self):
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return f"{self.dealer.name}: {self.user_message[:50]}..."
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class AnalysisCache(models.Model):
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"""
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Model to cache analysis results for performance optimization.
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This model stores cached results of model analysis operations to improve
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performance for repeated queries. It includes a hash of the prompt, user
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information, dealer ID, timestamps, and the cached result in JSON format.
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:ivar prompt_hash: MD5 hash of the prompt + dealer_id + language
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:type prompt_hash: str
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:ivar user: The user who made the request (optional)
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:type user: User
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:ivar dealer_id: ID of the dealer associated with this cache entry
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:type dealer_id: int
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:ivar created_at: When the cache entry was created
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:type created_at: datetime
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:ivar updated_at: When the cache entry was last updated
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:type updated_at: datetime
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:ivar expires_at: When the cache entry expires
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:type expires_at: datetime
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:ivar result: The cached analysis result
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:type result: dict
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"""
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prompt_hash = models.CharField(max_length=64, db_index=True)
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user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE, null=True, blank=True)
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dealer_id = models.IntegerField(null=True, blank=True, db_index=True)
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created_at = models.DateTimeField(default=timezone.now)
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updated_at = models.DateTimeField(auto_now=True)
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expires_at = models.DateTimeField(db_index=True)
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result = models.JSONField()
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class Meta:
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indexes = [
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models.Index(fields=['prompt_hash', 'dealer_id']),
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models.Index(fields=['expires_at']),
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]
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verbose_name_plural = "Analysis caches"
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def is_expired(self):
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"""
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Check if the cache entry has expired.
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:return: True if the cache entry has expired, False otherwise
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:rtype: bool
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"""
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return timezone.now() > self.expires_at
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def __str__(self):
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return f"Cache: {self.prompt_hash[:10]}... (Dealer: {self.dealer_id})"
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