Files

267 lines
9.1 KiB
Python

"""
脚本生成 API
============
提供脚本分类查询、润色、标题生成等功能。
"""
from __future__ import annotations
import asyncio
import logging
import time
from fastapi import APIRouter, Depends, HTTPException
from sqlalchemy.ext.asyncio import AsyncSession
from app.ai.model_router import get_model_router
from app.ai.prompts import list_categories, list_prompt_files, load_prompt, render_template
from app.api.deps import get_current_user
from app.core.exceptions import (
AITimeoutException,
InsufficientPointsException,
PlatformError,
PlatformErrorType,
)
from app.db.session import get_db
from app.models.user import User
from app.schemas.common import ApiResponse, success_response
from app.schemas.script import (
CategoryItem,
GenerateTitleRequest,
GenerateTitleResponse,
PolishRequest,
)
from app.services import point_service as ps
from app.services.script_service import get_script_service
router = APIRouter()
logger = logging.getLogger(__name__)
def _map_platform_error(e: PlatformError) -> HTTPException:
"""把第三方平台错误映射为用户友好的 HTTP 异常(带标准 error_code)。"""
if e.error_type == PlatformErrorType.CONTENT_VIOLATION:
return HTTPException(
status_code=400,
detail={
"message": "人物分镜台词未通过安全审核,请修改后重试",
"error_code": "content_violation",
},
)
if e.error_type == PlatformErrorType.RATE_LIMIT:
return HTTPException(
status_code=429,
detail={
"message": "当前请求过于频繁,请稍后再试",
"error_code": "rate_limit",
},
)
if e.error_type == PlatformErrorType.TIMEOUT:
return AITimeoutException("服务响应超时,请稍后重试")
if e.error_type == PlatformErrorType.AUTH_FAILED:
return HTTPException(
status_code=401,
detail={
"message": "第三方服务认证失败,请稍后重试或联系客服",
"error_code": "auth_failed",
},
)
if e.error_type == PlatformErrorType.SERVER_ERROR:
return HTTPException(
status_code=503,
detail={
"message": "第三方服务繁忙,请稍后重试",
"error_code": "server_error",
},
)
return HTTPException(
status_code=400,
detail={
"message": "请求失败,请检查后重试",
"error_code": e.error_type or "unknown",
},
)
@router.get("/categories", response_model=ApiResponse[list[CategoryItem]])
async def get_categories():
"""
获取提示词分类列表
返回所有大类及其下的提示词文件列表,供前端选择。
"""
categories = list_categories()
for cat in categories:
cat["files"] = list_prompt_files(cat["code"])
return success_response(
data=categories,
message="获取分类列表成功",
)
@router.post("/polish", response_model=ApiResponse[str])
async def polish_content(
request: PolishRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""
AI 润色文案/画面描述
- `polishType=scene`: 润色画面描述(根据 shot_type 自动区分分镜/空镜)
- `polishType=voiceover`: 润色配音文本
参数:
- `shot_type`: "segment"(分镜)或 "empty_shot"(空镜),画面润色时必填
"""
service = get_script_service()
type_name = "画面" if request.polish_type == "scene" else "文案"
# 前置积分检查
required_points = ps._calculate_cost("polish")
check = await ps.check_balance(db, current_user.id, required_points)
if not check["sufficient"]:
raise InsufficientPointsException(
f"积分不足,需要 {required_points} 积分,当前余额 {check['balance']}"
)
try:
polished = await service.polish_content(
content=request.content,
polish_type=request.polish_type,
shot_type=request.shot_type or "segment",
)
# 扣费
points = ps._calculate_cost("polish")
await ps.consume(
db,
user_id=current_user.id,
points=points,
source_type="polish",
source_id=f"polish_{current_user.id}_{int(time.time() * 1000)}",
description="【文案润色】",
)
await db.commit()
return success_response(
data=polished,
message=f"{type_name}润色完成",
)
except InsufficientPointsException:
raise
except HTTPException:
raise
except PlatformError as e:
raise _map_platform_error(e)
except ValueError as e:
logger.warning(f"[Polish] 润色失败: {e}")
raise HTTPException(status_code=500, detail="润色失败,请检查输入内容后重试")
except Exception as e:
logger.error(f"[Polish] 润色异常: {e}")
raise HTTPException(status_code=500, detail=f"{type_name}润色失败,请稍后重试")
@router.post("/generate-title", response_model=ApiResponse[GenerateTitleResponse])
async def generate_title(
request: GenerateTitleRequest,
db: AsyncSession = Depends(get_db),
current_user: User = Depends(get_current_user),
):
"""
根据脚本内容智能生成标题
调用 LLM 根据脚本内容生成大标题或小标题。
提示词从文件加载,支持热更新。
"""
model_router = await get_model_router()
# 加载提示词
system_prompt = load_prompt("user/title_system")
user_template = load_prompt("user/title")
if not system_prompt or not user_template:
raise HTTPException(status_code=500, detail="标题生成提示词文件缺失")
# 根据使用场景确定描述
if request.usage == "cover":
usage_desc = "视频封面标题——用于封面图设计,是决定用户是否点击的第一要素"
style_requirement = "极具冲击力、抓眼球,适合静态封面大图展示,善用爆款句式"
usage_note = "- 封面主标题必须极度吸睛,让用户一眼就想点进去,善用数字、疑问、痛点、冲突\n- 封面副标题要补充悬念或细节,激发点击欲望"
else:
usage_desc = "视频画面标题——直接叠加在视频画面上,与动态视频内容共存"
style_requirement = "口语化、精炼有力,适合视频内展示,避免遮挡画面主体"
usage_note = "- 视频画面上的标题需要精炼,聚焦核心关键词\n- 副标题与主标题形成呼应,补充说明但不喧宾夺主"
# 渲染用户提示词
title_type_desc = (
"大标题(主标题,提炼核心卖点,吸睛)"
if request.title_type == "main"
else "小标题(副标题,补充说明或制造悬念)"
)
user_prompt = render_template(
user_template,
title_type=request.title_type,
title_type_desc=title_type_desc,
script_content=request.script_content,
max_length=request.max_length,
usage=request.usage,
usage_desc=usage_desc,
style_requirement=style_requirement,
usage_note=usage_note,
)
# 前置积分检查
required_points = ps._calculate_cost("title")
check = await ps.check_balance(db, current_user.id, required_points)
if not check["sufficient"]:
raise InsufficientPointsException(
f"积分不足,需要 {required_points} 积分,当前余额 {check['balance']}"
)
try:
async with asyncio.timeout(15):
result = await model_router.generate(
prompt=user_prompt,
system_prompt=system_prompt,
task_type="script",
max_tokens=64,
)
title = result.content.strip() if result.content else ""
# 去除可能的引号
title = title.strip('"').strip("'").strip("「」").strip("『』").strip("《》")
# 截断到最大长度
if len(title) > request.max_length:
title = title[: request.max_length]
# 扣费
points = ps._calculate_cost("title")
await ps.consume(
db,
user_id=current_user.id,
points=points,
source_type="title",
source_id=f"title_{current_user.id}_{int(time.time() * 1000)}",
description="【标题生成】",
)
await db.commit()
return success_response(
data=GenerateTitleResponse(title=title),
message="标题生成成功",
)
except InsufficientPointsException:
raise
except HTTPException:
raise
except PlatformError as e:
raise _map_platform_error(e)
except TimeoutError:
logger.warning("[generate_title] 标题生成超时")
raise AITimeoutException("标题生成超时,请稍后重试")
except Exception as e:
logger.error(f"[generate_title] 标题生成失败: {e}")
raise HTTPException(status_code=500, detail=f"标题生成失败: {str(e)}")