47 lines
1.2 KiB
Python
47 lines
1.2 KiB
Python
"""
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AI 相关 API 路由
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"""
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from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel
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from loguru import logger
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from app.services.glm_service import glm_service
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from app.core.response import success_response
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router = APIRouter(prefix="/api/ai", tags=["AI"])
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class GenerateMetaRequest(BaseModel):
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"""生成标题标签请求"""
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text: str
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class GenerateMetaResponse(BaseModel):
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"""生成标题标签响应"""
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title: str
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tags: list[str]
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@router.post("/generate-meta")
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async def generate_meta(req: GenerateMetaRequest):
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"""
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AI 生成视频标题和标签
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根据口播文案自动生成吸引人的标题和相关标签
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"""
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if not req.text or not req.text.strip():
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raise HTTPException(status_code=400, detail="口播文案不能为空")
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try:
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logger.info(f"Generating meta for text: {req.text[:50]}...")
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result = await glm_service.generate_title_tags(req.text)
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return success_response(GenerateMetaResponse(
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title=result.get("title", ""),
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tags=result.get("tags", [])
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).model_dump())
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except Exception as e:
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logger.error(f"Generate meta failed: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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