133 lines
4.1 KiB
Python
133 lines
4.1 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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视频脚本生成引擎 (示例模板)
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将此文件移动到 engines/ 目录即可启用
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"""
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from typing import Dict, Any
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from ..base import BaseAIGCEngine, EngineResult
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class VideoScriptEngine(BaseAIGCEngine):
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"""
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视频脚本生成引擎
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根据景点信息生成短视频分镜脚本
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"""
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engine_id = "video_script"
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engine_name = "视频脚本生成"
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version = "1.0.0"
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description = "根据景点信息生成短视频分镜脚本"
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def get_param_schema(self) -> Dict[str, Any]:
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return {
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"scenic_spot_id": {
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"type": "int",
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"required": True,
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"desc": "景区 ID",
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},
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"duration": {
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"type": "int",
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"required": True,
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"desc": "视频时长 (秒)",
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},
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"style": {
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"type": "str",
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"required": False,
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"default": "vlog",
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"enum": ["vlog", "documentary", "promo", "tutorial"],
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"desc": "视频风格",
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},
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"target_platform": {
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"type": "str",
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"required": False,
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"default": "xiaohongshu",
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"enum": ["xiaohongshu", "douyin", "bilibili"],
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"desc": "目标平台",
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},
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}
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def estimate_duration(self, params: Dict[str, Any]) -> int:
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duration = params.get('duration', 60)
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return 20 + (duration // 10) # 基础时间 + 每10秒视频约1秒生成时间
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async def execute(self, params: Dict[str, Any]) -> EngineResult:
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task_id = params.get('_task_id', 'unknown')
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try:
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self.set_progress(task_id, 10)
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# 1. 获取景区信息
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scenic_spot_id = params['scenic_spot_id']
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spot = await self.db.scenic_spot.find_by_id(scenic_spot_id)
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if not spot:
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return EngineResult(
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success=False,
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error=f"景区不存在: {scenic_spot_id}",
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error_code="SPOT_NOT_FOUND"
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)
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self.set_progress(task_id, 20)
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# 2. 构建提示词
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duration = params['duration']
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style = params.get('style', 'vlog')
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platform = params.get('target_platform', 'xiaohongshu')
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system_prompt, user_prompt = self.prompt.build_full(
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"video_script",
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spot_name=spot.get('name', ''),
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spot_description=spot.get('description', ''),
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duration=duration,
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style=style,
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platform=platform
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)
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self.set_progress(task_id, 40)
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# 3. 调用 LLM
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result = await self.llm.generate(
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prompt=user_prompt,
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system_prompt=system_prompt
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)
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self.set_progress(task_id, 80)
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# 4. 解析结果
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script = self.parse_json(result)
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if not script:
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return EngineResult(
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success=False,
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error="脚本解析失败",
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error_code="PARSE_ERROR"
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)
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self.set_progress(task_id, 100)
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return EngineResult(
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success=True,
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data={
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"script": script,
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"scene_count": len(script.get('scenes', [])),
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"total_duration": duration,
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},
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metadata={
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"scenic_spot_id": scenic_spot_id,
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"style": style,
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"platform": platform,
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}
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)
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except Exception as e:
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self.log(f"视频脚本生成失败: {e}", level='error')
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return EngineResult(
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success=False,
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error=str(e),
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error_code="EXECUTION_ERROR"
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)
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