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
17 lines
611 B
Python
17 lines
611 B
Python
from pydantic import BaseModel, ConfigDict, Field
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class AiSettingBase(BaseModel):
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provider: str = Field(default="nvidia")
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api_base: str = Field(default="https://integrate.api.nvidia.com/v1")
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api_key: str = Field(default="")
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model_name: str = Field(default="nvidia/llama-3.1-nemotron-70b-instruct")
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temperature: float = Field(default=0.7, ge=0, le=2)
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max_tokens: int = Field(default=2048, ge=1)
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crawl_enabled: bool = Field(default=False)
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crawl_keywords: str = Field(default="")
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max_pages_per_run: int = Field(default=3, ge=1)
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class AiSettingCreate(AiSettingBase):
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pass |