High priority: - Fix concurrent race condition for view_count/like_count (atomic update) - Add route request ID tracking to prevent race conditions - Filter get_joke by status=approved (no pending content leak) - Add error feedback for like button Performance: - Optimize random joke query (avoid full table sort) - Limit page_size max to 100 (DoS prevention) Medium: - Add localStorage quota error handling - Handle empty AI response gracefully - Fix generate content title extraction Low: - Add rejected_jokes to stats API - Update dashboard to show rejected count
23 lines
1.1 KiB
Python
23 lines
1.1 KiB
Python
from sqlalchemy import Boolean, Column, DateTime, Float, Integer, String, Text, func
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from app.database import Base
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class AiSetting(Base):
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__tablename__ = "ai_settings"
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id = Column(Integer, primary_key=True, autoincrement=True)
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provider = Column(String(50), nullable=False, default="nvidia")
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api_base = Column(String(500), nullable=False, default="https://integrate.api.nvidia.com/v1")
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api_key = Column(String(500), nullable=False, default="")
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model_name = Column(String(100), nullable=False, default="nvidia/llama-3.1-nemotron-70b-instruct")
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temperature = Column(Float, nullable=False, default=0.7)
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max_tokens = Column(Integer, nullable=False, default=2048)
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crawl_enabled = Column(Boolean, nullable=False, default=False)
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crawl_keywords = Column(Text, nullable=True, default="")
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max_pages_per_run = Column(Integer, nullable=False, default=3)
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is_active = Column(Boolean, nullable=False, default=True)
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created_at = Column(DateTime, default=func.now())
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updated_at = Column(DateTime, default=func.now(), onupdate=func.now()) |