video-insight/utils/google_ai_analyze.py

import os
import time
import uuid
from typing import  Optional

import google.generativeai as genai
import orjson
import requests
from google.generativeai.types import (HarmBlockThreshold, HarmCategory)
from loguru import logger
from utils.coze_hook import CozeHook

from utils.google_ai_prompt import VIDEO_TOPIC_ANALYSIS_PROMPT, VIDEO_SEGMENT_ANALYSIS_PROMPT, VIDEO_ANALYSIS_PROMPT
# from utils.feishu_data import Material

CACHE_DIR = os.path.join(os.getcwd(), 'video_cache')

# CACHE_DIR = '/Users/z/Downloads/'
# PROXY_ADDR = 'http://localhost:1081'
# os.environ['http_proxy'] = PROXY_ADDR
# os.environ['https_proxy'] = PROXY_ADDR
def load_prompts():
    """从prompt.py加载Prompt"""
    try:
        print("\n[初始化] 从prompt.py加载Prompt")
        
        prompts = [
            # {
            #     "name": "视频选题与要点理解",
            #     "content": VIDEO_TOPIC_ANALYSIS_PROMPT
            # },
            # {
            #     "name": "视频分段与时间点分析",
            #     "content": VIDEO_SEGMENT_ANALYSIS_PROMPT
            # }
            {
                "name": "视频内容分析",
                "content": VIDEO_ANALYSIS_PROMPT
            }
        ]
            
        print(f"[成功] 加载 {len(prompts)} 个Prompt")
        return prompts
        
    except Exception as e:
        raise Exception(f"加载Prompt失败: {str(e)}")
    
class GoogleAI(object):

    @classmethod
    def download_video(cls, video_link: str) -> Optional[str]:
        file_path = os.path.join(CACHE_DIR, f'{str(uuid.uuid4())}.mp4')
        try:
            # 确保缓存目录存在
            try:
                os.makedirs(CACHE_DIR, exist_ok=True)
            except Exception as e:
                error_info = {
                    "error_type": type(e).__name__,
                    "error_message": str(e),
                    "cache_dir": CACHE_DIR,
                    "current_dir": os.getcwd(),
                    "dir_exists": os.path.exists(CACHE_DIR),
                    "dir_permissions": oct(os.stat(os.path.dirname(CACHE_DIR)).st_mode)[-3:] if os.path.exists(os.path.dirname(CACHE_DIR)) else "N/A"
                }
                error_json = orjson.dumps(error_info, option=orjson.OPT_INDENT_2).decode('utf-8')
                logger.error(f'[内容分析] 创建缓存目录失败: {error_json}')
                return None
            
            for _ in range(3):
                try:
                    response = requests.get(url=video_link, timeout=60)
                    print(f"response content: {file_path}")
                    if response.status_code == 200:
                        try:
                            with open(file_path, 'wb') as f:
                                f.write(response.content)
                            logger.info(f'[内容分析] 视频链接: {video_link}, 存储地址: {file_path}')
                        except Exception as e:
                            error_info = {
                                "error_type": type(e).__name__,
                                "error_message": str(e),
                                "file_path": file_path,
                                "content_length": len(response.content) if response.content else 0
                            }
                            error_json = orjson.dumps(error_info, option=orjson.OPT_INDENT_2).decode('utf-8')
                            logger.error(f'[内容分析] 视频保存失败: {error_json}')
                            return None
                        return file_path
                except Exception:
                    time.sleep(1)
                    continue
        except Exception:
            logger.error(f'[内容分析] 创建缓存目录失败')
            return None
      
    @classmethod
    def _analyze_content(cls, video, prompt):
        """增强版内容分析"""
        model = genai.GenerativeModel(
            model_name='gemini-2.0-flash',
            generation_config=genai.GenerationConfig(
                response_mime_type='application/json',
                temperature=0.3,
                max_output_tokens=20480
            ),
            safety_settings={
                HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
                HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_NONE,
            }
        )
        
        try:
            response = model.generate_content(
                contents=[video, prompt],
                request_options={'timeout': 300}
            )
            
            if hasattr(response, '_error') and response._error:
                raise Exception(f"生成错误: {response._error}")
                
            result = orjson.loads(response.text.strip())
            print(f"[视频分析] 响应: {result}")
            if not isinstance(result, dict):
                raise ValueError("响应格式错误：非字典结构")
                
            return result
        except orjson.JSONDecodeError:
            raise Exception("响应解析失败，非JSON格式")
        except Exception as e:
            raise Exception(f"分析失败: {str(e)}")

    @classmethod
    def run(cls, api_key, video_url):
        print(f"api_key:{api_key},video_url:{video_url}")
        video_path = None
        try:
            genai.configure(api_key=api_key)
            video_path = cls.download_video(video_link=video_url)
            if not video_path:
                logger.error(f'[内容分析] 视频下载失败, 跳过任务')
                os.remove(video_path)
                logger.info(f"[内容分析] 文件已删除: {video_path}")
                return "[异常] 视频下载失败",""

            video = genai.upload_file(path=video_path, mime_type='video/mp4')
            while video.state.name == 'PROCESSING':
                time.sleep(1)
                video = genai.get_file(name=video.name)
            if video.state.name != 'ACTIVE':
                genai.delete_file(name=video.name)
                os.remove(video_path)
                return "[异常] 上传视频失败", ""
            
            prompts = load_prompts()
            analysis_data = {}
            for prompt in prompts[:3]:
                print(f"[分析] 正在执行: {prompt['name']}")
                try:
                    result = cls._analyze_content(video, prompt['content'])
                    # 提取 result 中的 "内容分段" 和 "视频简介"
                    analysis_data['视频选题与要点理解'] = {
                        "视频简介": result.get('视频简介', ''),
                        "视频内容类型": result.get('视频内容类型', ''),
                        "段落类型相似度": result.get('段落类型相似度', 1)
                    }
                    analysis_data['视频分段与时间点分析'] = {
                        "内容分段": result.get('内容分段', [])
                    }
                except Exception as e:
                    analysis_data[prompt['name']] = {
                        "error": str(e),
                        "error_type": type(e).__name__
                    }
            print(f"[分析] 所有分析完成, 结果: {analysis_data}")

            coze_hook = CozeHook()
            demand_list = coze_hook.run(analysis_data["视频选题与要点理解"], analysis_data["视频分段与时间点分析"])
            print(f"[分析] 所有分析完成, 结果: {demand_list}")

            genai.delete_file(name=video.name)
            os.remove(video_path)
            return analysis_data, demand_list
        except Exception as e:
            logger.error(f"[内容分析] 处理异常,异常信息{e}")
            os.remove(video_path)
            return f"[异常] {e}",""
        
    @classmethod
    def _analyze_content_with_api(cls, video_url):
        """使用API分析视频内容"""
        try:
            # 使用API分析视频内容
            response = requests.post(
                'http://ai-api.piaoquantv.com/aigc-server/gemini/generateContent',
                json={
                    "mediaUrl": video_url, 
                    "type": 2, 
                    "prompt": VIDEO_ANALYSIS_PROMPT, 
                    "model":"gemini-2.0-flash",
                    "temperature":"0.3"
                }
            )
            response.raise_for_status()
            result = response.json()
            print(f"[内容分析] API分析完成, 结果: {result}")
            
            if not result or result.get('code') != 0:
                raise Exception("API分析结果异常")
                
            # 解析返回的JSON字符串
            analysis_result = orjson.loads(result['data']['result'])
            
            # 构建analysis_data
            analysis_data = {
                '视频选题与要点理解': {
                    "视频简介": analysis_result.get('视频简介', ''),
                    "视频内容类型": analysis_result.get('视频内容类型', ''),
                    "段落类型相似度": analysis_result.get('段落类型相似度', 1)
                },
                '视频分段与时间点分析': {
                    "内容分段": analysis_result.get('内容分段', [])
                }
            }
            
            # 使用coze_hook处理数据
            coze_hook = CozeHook()
            demand_list = coze_hook.run(
                analysis_data["视频选题与要点理解"], 
                analysis_data["视频分段与时间点分析"]
            )

            print(f"[内容分析] API分析完成, 结果: {analysis_data}, {demand_list}")
            
            return analysis_data, demand_list
            
        except Exception as e:
            logger.error(f"[内容分析] API分析失败,异常信息{e}")
            return f"[异常] {e}", ""
        
    

if __name__ == '__main__':
    ai = GoogleAI()
    # ai.run("AIzaSyAHt9h0ScYki7NmgOXa1jj-UEimCa6JEOs",
    #              "http://rescdn.yishihui.com/jq_oss/video/2025012215472528213")
    ai._analyze_content_with_api("http://rescdn.yishihui.com/jq_oss/video/2025012215472528213")