90 lines
2.9 KiB
Python
90 lines
2.9 KiB
Python
import logging
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import fastapi
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from fastapi import APIRouter
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from fastapi import HTTPException
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from openai import AsyncOpenAI
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from Config import Config
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from JiMeng.Kit.JmTxt2ImgUtil import JmTxt2Img
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from JiMeng.Kit.FenJingTouGenerator import FenJingTouGenerator # 导入分镜头生成器
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# 创建路由路由器
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router = APIRouter(prefix="/api/jimeng", tags=["即梦"])
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# 配置日志
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logger = logging.getLogger(__name__)
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# 初始化异步 OpenAI 客户端
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client = AsyncOpenAI(
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api_key=Config.ALY_LLM_API_KEY,
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base_url=Config.ALY_LLM_BASE_URL
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)
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@router.post("/prompt_input")
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async def prompt_input(request: fastapi.Request):
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try:
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data = await request.json()
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prompt = data.get("prompt")
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if not prompt:
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raise HTTPException(status_code=400, detail="缺少提示词参数")
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logger.info(f"收到图片生成请求，提示词: {prompt}")
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# 调用 JmTxt2Img 生成图片
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image_url = JmTxt2Img.generate_image(prompt)
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logger.info(f"图片生成成功，URL: {image_url}")
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return {
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"code": 200,
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"message": "成功",
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"data": {
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"image_url": image_url
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}
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}
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except HTTPException as e:
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logger.error(f"请求参数错误: {str(e.detail)}")
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raise e
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except Exception as e:
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logger.error(f"图片生成失败: {str(e)}")
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raise HTTPException(status_code=500, detail=f"图片生成失败: {str(e)}")
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@router.post("/generate_fenjingtou")
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async def generate_fenjingtou(request: fastapi.Request):
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try:
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data = await request.json()
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image_url = data.get("image_url")
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prompt_text = data.get("prompt_text")
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if not image_url:
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raise HTTPException(status_code=400, detail="缺少图片地址参数")
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if not prompt_text:
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raise HTTPException(status_code=400, detail="缺少提示词参数")
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logger.info(f"收到分镜头生成请求，图片地址: {image_url}，提示词: {prompt_text}")
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# 创建分镜头生成器实例并调用方法
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generator = FenJingTouGenerator()
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fenjingtou_content = generator.generate_fen_jing_tou(image_url, prompt_text)
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if not fenjingtou_content:
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raise HTTPException(status_code=500, detail="分镜头脚本生成失败")
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logger.info(f"分镜头脚本生成成功")
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return {
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"code": 200,
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"message": "成功",
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"data": {
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"fenjingtou_content": fenjingtou_content
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}
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}
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except HTTPException as e:
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logger.error(f"请求参数错误: {str(e.detail)}")
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raise e
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except Exception as e:
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logger.error(f"分镜头脚本生成失败: {str(e)}")
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raise HTTPException(status_code=500, detail=f"分镜头脚本生成失败: {str(e)}")
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