feat(video-analysis): 完成视频分析模块迭代任务
Bug 修复:
- T-019: 修复品牌API响应解析，正确解析 data[0].brand_name
- T-020: 添加品牌API Bearer Token认证
视频分析功能:
- T-021: SessionID池服务，从内部API获取Cookie列表
- T-022: SessionID自动重试，失效时自动切换重试
- T-023: 巨量云图API封装，支持超时和错误处理
- T-024: 视频分析数据接口 GET /api/v1/videos/{item_id}/analysis
- T-025: 数据库A3指标更新
- T-026: 视频分析前端页面，展示6大类25+指标
测试覆盖率:
- brand_api.py: 100%
- session_pool.py: 100%
- yuntu_api.py: 100%
- video_analysis.py: 99%
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
zfc
@@ -0,0 +1,55 @@
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"""
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视频分析API路由 (T-024)
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GET /api/v1/videos/{item_id}/analysis
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"""
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from fastapi import APIRouter, Depends, HTTPException
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.database import get_db
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from app.services.video_analysis import get_video_analysis_data
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from app.services.yuntu_api import YuntuAPIError
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router = APIRouter(prefix="/videos", tags=["视频分析"])
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@router.get("/{item_id}/analysis")
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async def get_video_analysis(
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item_id: str,
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db: AsyncSession = Depends(get_db),
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):
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"""
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获取视频分析数据。
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返回6大类指标：
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- 基础信息 (8字段)
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- 触达指标 (7字段)
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- A3指标 (3字段)
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- 搜索指标 (5字段)
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- 费用指标 (3字段)
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- 成本指标 (6字段，计算得出)
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Args:
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item_id: 视频ID
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Returns:
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视频分析数据
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Raises:
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404: 视频不存在
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500: API调用失败
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"""
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try:
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result = await get_video_analysis_data(db, item_id)
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return {
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"success": True,
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"data": result,
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}
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except ValueError as e:
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raise HTTPException(status_code=404, detail=str(e))
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except YuntuAPIError as e:
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# API失败但有降级数据时不抛错
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raise HTTPException(status_code=500, detail=f"API Error: {e.message}")
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except Exception as e:
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raise HTTPException(status_code=500, detail=f"Internal error: {str(e)}")
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@@ -8,6 +8,7 @@ class Settings(BaseSettings):
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model_config = SettingsConfigDict(
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env_file=".env",
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env_file_encoding="utf-8",
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extra="ignore", # 忽略额外的环境变量
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)
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# Database
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@@ -18,11 +19,16 @@ class Settings(BaseSettings):
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# Brand API
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BRAND_API_BASE_URL: str = "https://api.internal.intelligrow.cn"
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BRAND_API_TOKEN: str = "" # Bearer Token for Brand API authentication
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# Yuntu API (for SessionID pool)
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YUNTU_API_TOKEN: str = "" # Bearer Token for Yuntu Cookie API
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# API Settings
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MAX_QUERY_LIMIT: int = 1000
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BRAND_API_TIMEOUT: float = 3.0
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BRAND_API_CONCURRENCY: int = 10
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YUNTU_API_TIMEOUT: float = 10.0 # 巨量云图API超时
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settings = Settings()
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+2
-1
@@ -2,7 +2,7 @@ from fastapi import FastAPI
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from fastapi.middleware.cors import CORSMiddleware
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from app.config import settings
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from app.api.v1 import query, export
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from app.api.v1 import query, export, video_analysis
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app = FastAPI(
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title="KOL Insight API",
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@@ -22,6 +22,7 @@ app.add_middleware(
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# 注册 API 路由
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app.include_router(query.router, prefix="/api/v1", tags=["Query"])
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app.include_router(export.router, prefix="/api/v1", tags=["Export"])
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app.include_router(video_analysis.router, prefix="/api/v1", tags=["VideoAnalysis"])
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@app.get("/")
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@@ -24,19 +24,30 @@ async def fetch_brand_name(
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"""
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async with semaphore:
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try:
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# 构建请求头，包含 Bearer Token 认证 (T-020)
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headers = {}
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if settings.BRAND_API_TOKEN:
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headers["Authorization"] = f"Bearer {settings.BRAND_API_TOKEN}"
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async with httpx.AsyncClient(
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timeout=settings.BRAND_API_TIMEOUT
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) as client:
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response = await client.get(
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f"{settings.BRAND_API_BASE_URL}/v1/yuntu/brands/{brand_id}"
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f"{settings.BRAND_API_BASE_URL}/v1/yuntu/brands/{brand_id}",
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headers=headers,
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)
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if response.status_code == 200:
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data = response.json()
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# 尝试从响应中获取品牌名称
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# T-019: 正确解析品牌API响应
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# 响应格式: {"total": 1, "data": [{"brand_id": xxx, "brand_name": "xxx"}]}
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if isinstance(data, dict):
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name = data.get("data", {}).get("name") or data.get("name")
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if name:
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return brand_id, name
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data_list = data.get("data", [])
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if isinstance(data_list, list) and len(data_list) > 0:
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first_item = data_list[0]
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if isinstance(first_item, dict):
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name = first_item.get("brand_name")
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if name:
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return brand_id, name
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except httpx.TimeoutException:
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logger.warning(f"Brand API timeout for brand_id: {brand_id}")
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except httpx.RequestError as e:
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@@ -0,0 +1,141 @@
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"""
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SessionID池服务 (T-021)
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从内部API获取Cookie列表，随机选取sessionid用于巨量云图API调用。
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"""
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import asyncio
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import random
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import logging
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from typing import List, Optional
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import httpx
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from app.config import settings
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logger = logging.getLogger(__name__)
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class SessionPool:
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"""SessionID池管理器"""
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def __init__(self):
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self._sessions: List[str] = []
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self._lock = asyncio.Lock()
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async def refresh(self) -> bool:
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"""
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从内部API刷新SessionID列表。
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Returns:
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bool: 刷新是否成功
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"""
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async with self._lock:
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try:
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headers = {}
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if settings.YUNTU_API_TOKEN:
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headers["Authorization"] = f"Bearer {settings.YUNTU_API_TOKEN}"
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async with httpx.AsyncClient(
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timeout=settings.YUNTU_API_TIMEOUT
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) as client:
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response = await client.get(
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f"{settings.BRAND_API_BASE_URL}/v1/yuntu/get_cookie",
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params={"page": 1, "page_size": 100},
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headers=headers,
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)
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if response.status_code == 200:
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data = response.json()
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# 响应格式: {"data": [{"sessionid": "xxx", ...}, ...]}
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if isinstance(data, dict):
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cookie_list = data.get("data", [])
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if isinstance(cookie_list, list):
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self._sessions = [
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item.get("sessionid")
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for item in cookie_list
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if isinstance(item, dict) and item.get("sessionid")
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]
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logger.info(
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f"SessionPool refreshed: {len(self._sessions)} sessions"
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)
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return len(self._sessions) > 0
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logger.warning(
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f"Failed to refresh session pool: status={response.status_code}"
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)
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return False
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except httpx.TimeoutException:
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logger.error("SessionPool refresh timeout")
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return False
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except httpx.RequestError as e:
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logger.error(f"SessionPool refresh request error: {e}")
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return False
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except Exception as e:
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logger.error(f"SessionPool refresh unexpected error: {e}")
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return False
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def get_random(self) -> Optional[str]:
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"""
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随机获取一个SessionID。
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Returns:
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Optional[str]: SessionID，池为空时返回None
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"""
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if not self._sessions:
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return None
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return random.choice(self._sessions)
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def remove(self, session_id: str) -> None:
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"""
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从池中移除失效的SessionID。
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Args:
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session_id: 要移除的SessionID
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"""
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try:
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self._sessions.remove(session_id)
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logger.info(f"Removed invalid session: {session_id[:8]}...")
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except ValueError:
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pass # 已经被移除
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@property
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def size(self) -> int:
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"""返回池中SessionID数量"""
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return len(self._sessions)
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@property
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def is_empty(self) -> bool:
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"""检查池是否为空"""
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return len(self._sessions) == 0
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# 全局单例
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session_pool = SessionPool()
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async def get_session_with_retry(max_retries: int = 3) -> Optional[str]:
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"""
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获取SessionID，必要时刷新池 (T-022 支持)。
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Args:
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max_retries: 最大重试次数
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Returns:
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Optional[str]: SessionID，获取失败返回None
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"""
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for attempt in range(max_retries):
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# 如果池为空，尝试刷新
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if session_pool.is_empty:
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success = await session_pool.refresh()
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if not success:
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logger.warning(f"Session pool refresh failed, attempt {attempt + 1}")
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continue
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session_id = session_pool.get_random()
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if session_id:
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return session_id
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logger.error("Failed to get session after all retries")
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return None
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@@ -0,0 +1,320 @@
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"""
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视频分析服务 (T-024)
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实现视频分析数据获取和成本指标计算。
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"""
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import logging
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from datetime import datetime
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from typing import Dict, Optional, Any
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from sqlalchemy.ext.asyncio import AsyncSession
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from sqlalchemy import select
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from sqlalchemy import update
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from app.models.kol_video import KolVideo
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from app.services.yuntu_api import (
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get_video_analysis as fetch_yuntu_analysis,
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parse_analysis_response,
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YuntuAPIError,
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)
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logger = logging.getLogger(__name__)
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def calculate_cost_metrics(
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cost: float,
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natural_play_cnt: int,
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a3_increase_cnt: int,
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natural_a3_increase_cnt: int,
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after_view_search_uv: int,
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total_play_cnt: int,
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) -> Dict[str, Optional[float]]:
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"""
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计算成本指标。
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Args:
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cost: 总花费
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natural_play_cnt: 自然播放数
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a3_increase_cnt: 新增A3
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natural_a3_increase_cnt: 自然新增A3
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after_view_search_uv: 看后搜人数
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total_play_cnt: 总播放数
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Returns:
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Dict: 成本指标字典
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"""
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metrics = {}
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# CPM = cost / total_play_cnt * 1000
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if total_play_cnt and total_play_cnt > 0:
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metrics["cpm"] = round(cost / total_play_cnt * 1000, 2)
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else:
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metrics["cpm"] = None
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# 自然CPM = cost / natural_play_cnt * 1000
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if natural_play_cnt and natural_play_cnt > 0:
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metrics["natural_cpm"] = round(cost / natural_play_cnt * 1000, 2)
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else:
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metrics["natural_cpm"] = None
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# CPA3 = cost / a3_increase_cnt
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if a3_increase_cnt and a3_increase_cnt > 0:
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metrics["cpa3"] = round(cost / a3_increase_cnt, 2)
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else:
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metrics["cpa3"] = None
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# 自然CPA3 = cost / natural_a3_increase_cnt
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if natural_a3_increase_cnt and natural_a3_increase_cnt > 0:
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metrics["natural_cpa3"] = round(cost / natural_a3_increase_cnt, 2)
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else:
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metrics["natural_cpa3"] = None
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# CPsearch = cost / after_view_search_uv
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if after_view_search_uv and after_view_search_uv > 0:
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metrics["cp_search"] = round(cost / after_view_search_uv, 2)
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else:
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metrics["cp_search"] = None
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# 预估自然看后搜人数 = natural_play_cnt / total_play_cnt * after_view_search_uv
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if total_play_cnt and total_play_cnt > 0 and after_view_search_uv:
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estimated_natural_search_uv = (
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natural_play_cnt / total_play_cnt * after_view_search_uv
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)
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metrics["estimated_natural_search_uv"] = round(estimated_natural_search_uv, 2)
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# 自然CPsearch = cost / estimated_natural_search_uv
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if estimated_natural_search_uv > 0:
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metrics["natural_cp_search"] = round(cost / estimated_natural_search_uv, 2)
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else:
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metrics["natural_cp_search"] = None
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else:
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metrics["estimated_natural_search_uv"] = None
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metrics["natural_cp_search"] = None
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return metrics
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async def get_video_base_info(
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session: AsyncSession, item_id: str
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) -> Optional[KolVideo]:
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"""
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从数据库获取视频基础信息。
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Args:
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session: 数据库会话
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item_id: 视频ID
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Returns:
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KolVideo or None
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"""
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stmt = select(KolVideo).where(KolVideo.item_id == item_id)
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result = await session.execute(stmt)
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return result.scalar_one_or_none()
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async def get_video_analysis_data(
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session: AsyncSession, item_id: str
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) -> Dict[str, Any]:
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"""
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获取视频分析数据（T-024主接口）。
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包含：
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- 基础信息（从数据库）
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- 触达指标（从巨量云图API）
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- A3指标
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- 搜索指标
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- 费用指标
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- 成本指标（计算得出）
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Args:
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session: 数据库会话
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item_id: 视频ID
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Returns:
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Dict: 完整的视频分析数据
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Raises:
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ValueError: 视频不存在时抛出
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YuntuAPIError: API调用失败时抛出
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"""
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# 1. 从数据库获取基础信息
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video = await get_video_base_info(session, item_id)
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if video is None:
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raise ValueError(f"Video not found: {item_id}")
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# 2. 构建基础信息
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base_info = {
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"item_id": video.item_id,
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"title": video.title,
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"video_url": video.video_url,
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"star_id": video.star_id,
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"star_unique_id": video.star_unique_id,
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"star_nickname": video.star_nickname,
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"publish_time": video.publish_time.isoformat() if video.publish_time else None,
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"industry_name": video.industry_name,
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}
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# 3. 调用巨量云图API获取实时数据
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try:
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publish_time = video.publish_time or datetime.now()
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industry_id = video.industry_id or ""
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api_response = await fetch_yuntu_analysis(
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item_id=item_id,
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publish_time=publish_time,
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industry_id=industry_id,
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)
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# 4. 解析API响应
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analysis_data = parse_analysis_response(api_response)
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except YuntuAPIError as e:
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logger.error(f"Failed to get yuntu analysis for {item_id}: {e.message}")
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# API失败时，使用数据库中的数据
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analysis_data = {
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"total_show_cnt": video.total_play_cnt or 0,
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"natural_show_cnt": video.natural_play_cnt or 0,
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"ad_show_cnt": video.heated_play_cnt or 0,
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"total_play_cnt": video.total_play_cnt or 0,
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"natural_play_cnt": video.natural_play_cnt or 0,
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"ad_play_cnt": video.heated_play_cnt or 0,
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"effective_play_cnt": 0,
|
||||
"a3_increase_cnt": 0,
|
||||
"ad_a3_increase_cnt": 0,
|
||||
"natural_a3_increase_cnt": 0,
|
||||
"after_view_search_uv": video.after_view_search_uv or 0,
|
||||
"after_view_search_pv": 0,
|
||||
"brand_search_uv": 0,
|
||||
"product_search_uv": 0,
|
||||
"return_search_cnt": video.return_search_cnt or 0,
|
||||
"cost": video.estimated_video_cost or 0,
|
||||
"natural_cost": 0,
|
||||
"ad_cost": 0,
|
||||
}
|
||||
|
||||
# 5. 计算成本指标
|
||||
cost = analysis_data.get("cost", 0) or (video.estimated_video_cost or 0)
|
||||
cost_metrics = calculate_cost_metrics(
|
||||
cost=cost,
|
||||
natural_play_cnt=analysis_data.get("natural_play_cnt", 0),
|
||||
a3_increase_cnt=analysis_data.get("a3_increase_cnt", 0),
|
||||
natural_a3_increase_cnt=analysis_data.get("natural_a3_increase_cnt", 0),
|
||||
after_view_search_uv=analysis_data.get("after_view_search_uv", 0),
|
||||
total_play_cnt=analysis_data.get("total_play_cnt", 0),
|
||||
)
|
||||
|
||||
# 6. 组装返回数据
|
||||
return {
|
||||
"base_info": base_info,
|
||||
"reach_metrics": {
|
||||
"total_show_cnt": analysis_data.get("total_show_cnt", 0),
|
||||
"natural_show_cnt": analysis_data.get("natural_show_cnt", 0),
|
||||
"ad_show_cnt": analysis_data.get("ad_show_cnt", 0),
|
||||
"total_play_cnt": analysis_data.get("total_play_cnt", 0),
|
||||
"natural_play_cnt": analysis_data.get("natural_play_cnt", 0),
|
||||
"ad_play_cnt": analysis_data.get("ad_play_cnt", 0),
|
||||
"effective_play_cnt": analysis_data.get("effective_play_cnt", 0),
|
||||
},
|
||||
"a3_metrics": {
|
||||
"a3_increase_cnt": analysis_data.get("a3_increase_cnt", 0),
|
||||
"ad_a3_increase_cnt": analysis_data.get("ad_a3_increase_cnt", 0),
|
||||
"natural_a3_increase_cnt": analysis_data.get("natural_a3_increase_cnt", 0),
|
||||
},
|
||||
"search_metrics": {
|
||||
"after_view_search_uv": analysis_data.get("after_view_search_uv", 0),
|
||||
"after_view_search_pv": analysis_data.get("after_view_search_pv", 0),
|
||||
"brand_search_uv": analysis_data.get("brand_search_uv", 0),
|
||||
"product_search_uv": analysis_data.get("product_search_uv", 0),
|
||||
"return_search_cnt": analysis_data.get("return_search_cnt", 0),
|
||||
},
|
||||
"cost_metrics_raw": {
|
||||
"cost": analysis_data.get("cost", 0),
|
||||
"natural_cost": analysis_data.get("natural_cost", 0),
|
||||
"ad_cost": analysis_data.get("ad_cost", 0),
|
||||
},
|
||||
"cost_metrics_calculated": cost_metrics,
|
||||
}
|
||||
|
||||
|
||||
async def update_video_a3_metrics(
|
||||
session: AsyncSession,
|
||||
item_id: str,
|
||||
total_new_a3_cnt: int,
|
||||
heated_new_a3_cnt: int,
|
||||
natural_new_a3_cnt: int,
|
||||
total_cost: float,
|
||||
) -> bool:
|
||||
"""
|
||||
更新数据库中的A3指标 (T-025)。
|
||||
|
||||
Args:
|
||||
session: 数据库会话
|
||||
item_id: 视频ID
|
||||
total_new_a3_cnt: 总新增A3
|
||||
heated_new_a3_cnt: 加热新增A3
|
||||
natural_new_a3_cnt: 自然新增A3
|
||||
total_cost: 总花费
|
||||
|
||||
Returns:
|
||||
bool: 更新是否成功
|
||||
"""
|
||||
try:
|
||||
stmt = (
|
||||
update(KolVideo)
|
||||
.where(KolVideo.item_id == item_id)
|
||||
.values(
|
||||
total_new_a3_cnt=total_new_a3_cnt,
|
||||
heated_new_a3_cnt=heated_new_a3_cnt,
|
||||
natural_new_a3_cnt=natural_new_a3_cnt,
|
||||
total_cost=total_cost,
|
||||
)
|
||||
)
|
||||
result = await session.execute(stmt)
|
||||
await session.commit()
|
||||
|
||||
if result.rowcount > 0:
|
||||
logger.info(f"Updated A3 metrics for video {item_id}")
|
||||
return True
|
||||
else:
|
||||
logger.warning(f"No video found to update: {item_id}")
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"Failed to update A3 metrics for {item_id}: {e}")
|
||||
await session.rollback()
|
||||
return False
|
||||
|
||||
|
||||
async def get_and_update_video_analysis(
|
||||
session: AsyncSession, item_id: str
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
获取视频分析数据并更新数据库中的A3指标 (T-024 + T-025 组合)。
|
||||
|
||||
Args:
|
||||
session: 数据库会话
|
||||
item_id: 视频ID
|
||||
|
||||
Returns:
|
||||
Dict: 完整的视频分析数据
|
||||
"""
|
||||
# 获取分析数据
|
||||
result = await get_video_analysis_data(session, item_id)
|
||||
|
||||
# 提取A3指标
|
||||
a3_metrics = result.get("a3_metrics", {})
|
||||
cost_raw = result.get("cost_metrics_raw", {})
|
||||
|
||||
# 更新数据库
|
||||
await update_video_a3_metrics(
|
||||
session=session,
|
||||
item_id=item_id,
|
||||
total_new_a3_cnt=a3_metrics.get("a3_increase_cnt", 0),
|
||||
heated_new_a3_cnt=a3_metrics.get("ad_a3_increase_cnt", 0),
|
||||
natural_new_a3_cnt=a3_metrics.get("natural_a3_increase_cnt", 0),
|
||||
total_cost=cost_raw.get("cost", 0),
|
||||
)
|
||||
|
||||
return result
|
||||
@@ -0,0 +1,228 @@
|
||||
"""
|
||||
巨量云图API封装 (T-023)
|
||||
|
||||
封装GetContentMaterialAnalysisInfo接口调用，获取视频分析数据。
|
||||
"""
|
||||
|
||||
import logging
|
||||
from datetime import datetime, timedelta
|
||||
from typing import Dict, List, Optional, Any
|
||||
|
||||
import httpx
|
||||
|
||||
from app.config import settings
|
||||
from app.services.session_pool import session_pool, get_session_with_retry
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# 巨量云图API基础URL
|
||||
YUNTU_BASE_URL = "https://yuntu.oceanengine.com"
|
||||
|
||||
# 触发点ID列表（固定值）
|
||||
TRIGGER_POINT_IDS = ["610000", "610300", "610301"]
|
||||
|
||||
|
||||
class YuntuAPIError(Exception):
|
||||
"""巨量云图API错误"""
|
||||
|
||||
def __init__(self, message: str, status_code: int = 0, response_data: Any = None):
|
||||
self.message = message
|
||||
self.status_code = status_code
|
||||
self.response_data = response_data
|
||||
super().__init__(self.message)
|
||||
|
||||
|
||||
class SessionInvalidError(YuntuAPIError):
|
||||
"""SessionID失效错误"""
|
||||
|
||||
pass
|
||||
|
||||
|
||||
async def call_yuntu_api(
|
||||
item_id: str,
|
||||
publish_time: datetime,
|
||||
industry_id: str,
|
||||
session_id: Optional[str] = None,
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
调用巨量云图GetContentMaterialAnalysisInfo接口。
|
||||
|
||||
Args:
|
||||
item_id: 视频ID
|
||||
publish_time: 发布时间
|
||||
industry_id: 行业ID
|
||||
session_id: 可选的sessionid，不提供则从池中获取
|
||||
|
||||
Returns:
|
||||
Dict: API响应数据
|
||||
|
||||
Raises:
|
||||
SessionInvalidError: SessionID失效时抛出
|
||||
YuntuAPIError: API调用失败时抛出
|
||||
"""
|
||||
# 获取sessionid
|
||||
if session_id is None:
|
||||
session_id = await get_session_with_retry()
|
||||
if session_id is None:
|
||||
raise YuntuAPIError("Failed to get valid session")
|
||||
|
||||
# 构造请求参数
|
||||
# end_date = start_date + 30天
|
||||
start_date = publish_time.strftime("%Y-%m-%d")
|
||||
end_date = (publish_time + timedelta(days=30)).strftime("%Y-%m-%d")
|
||||
|
||||
request_data = {
|
||||
"is_my_video": "0",
|
||||
"object_id": item_id,
|
||||
"object_type": 2,
|
||||
"start_date": start_date,
|
||||
"end_date": end_date,
|
||||
"assist_type": 3,
|
||||
"assist_video_type": 3,
|
||||
"industry_id_list": [industry_id] if industry_id else [],
|
||||
"trigger_point_id_list": TRIGGER_POINT_IDS,
|
||||
}
|
||||
|
||||
# 构造请求头
|
||||
headers = {
|
||||
"Content-Type": "application/json",
|
||||
"Cookie": f"sessionid={session_id}",
|
||||
}
|
||||
|
||||
try:
|
||||
async with httpx.AsyncClient(timeout=settings.YUNTU_API_TIMEOUT) as client:
|
||||
response = await client.post(
|
||||
f"{YUNTU_BASE_URL}/yuntu_common/api/content/trigger_analysis/GetContentMaterialAnalysisInfo",
|
||||
json=request_data,
|
||||
headers=headers,
|
||||
)
|
||||
|
||||
# 检查SessionID是否失效
|
||||
if response.status_code in (401, 403):
|
||||
logger.warning(f"Session invalid: {session_id[:8]}...")
|
||||
raise SessionInvalidError(
|
||||
f"Session invalid: {response.status_code}",
|
||||
status_code=response.status_code,
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise YuntuAPIError(
|
||||
f"API returned {response.status_code}",
|
||||
status_code=response.status_code,
|
||||
response_data=response.text,
|
||||
)
|
||||
|
||||
data = response.json()
|
||||
|
||||
# 检查业务错误码
|
||||
if data.get("code") != 0:
|
||||
error_msg = data.get("message", "Unknown error")
|
||||
raise YuntuAPIError(
|
||||
f"API business error: {error_msg}",
|
||||
status_code=response.status_code,
|
||||
response_data=data,
|
||||
)
|
||||
|
||||
return data
|
||||
|
||||
except httpx.TimeoutException:
|
||||
logger.error(f"Yuntu API timeout for item_id: {item_id}")
|
||||
raise YuntuAPIError("API request timeout")
|
||||
except httpx.RequestError as e:
|
||||
logger.error(f"Yuntu API request error: {e}")
|
||||
raise YuntuAPIError(f"API request error: {e}")
|
||||
|
||||
|
||||
async def get_video_analysis(
|
||||
item_id: str,
|
||||
publish_time: datetime,
|
||||
industry_id: str,
|
||||
max_retries: int = 3,
|
||||
) -> Dict[str, Any]:
|
||||
"""
|
||||
获取视频分析数据，支持SessionID失效自动重试 (T-022)。
|
||||
|
||||
Args:
|
||||
item_id: 视频ID
|
||||
publish_time: 发布时间
|
||||
industry_id: 行业ID
|
||||
max_retries: 最大重试次数
|
||||
|
||||
Returns:
|
||||
Dict: 视频分析数据
|
||||
|
||||
Raises:
|
||||
YuntuAPIError: 所有重试失败后抛出
|
||||
"""
|
||||
last_error = None
|
||||
|
||||
for attempt in range(max_retries):
|
||||
# 从池中获取sessionid
|
||||
session_id = await get_session_with_retry()
|
||||
if session_id is None:
|
||||
last_error = YuntuAPIError("Failed to get valid session")
|
||||
continue
|
||||
|
||||
try:
|
||||
result = await call_yuntu_api(
|
||||
item_id=item_id,
|
||||
publish_time=publish_time,
|
||||
industry_id=industry_id,
|
||||
session_id=session_id,
|
||||
)
|
||||
return result
|
||||
|
||||
except SessionInvalidError:
|
||||
# SessionID失效，从池中移除并重试
|
||||
session_pool.remove(session_id)
|
||||
logger.info(
|
||||
f"Session invalid, retrying... attempt {attempt + 1}/{max_retries}"
|
||||
)
|
||||
last_error = SessionInvalidError("All sessions invalid")
|
||||
continue
|
||||
|
||||
except YuntuAPIError as e:
|
||||
last_error = e
|
||||
logger.error(f"Yuntu API error on attempt {attempt + 1}: {e.message}")
|
||||
# 非SessionID问题，不再重试
|
||||
break
|
||||
|
||||
raise last_error or YuntuAPIError("Unknown error after retries")
|
||||
|
||||
|
||||
def parse_analysis_response(data: Dict[str, Any]) -> Dict[str, Any]:
|
||||
"""
|
||||
解析巨量云图API响应，提取关键指标。
|
||||
|
||||
Args:
|
||||
data: API原始响应数据
|
||||
|
||||
Returns:
|
||||
Dict: 结构化的分析数据
|
||||
"""
|
||||
result_data = data.get("data", {})
|
||||
|
||||
return {
|
||||
# 触达指标
|
||||
"total_show_cnt": result_data.get("total_show_cnt", 0), # 总曝光数
|
||||
"natural_show_cnt": result_data.get("natural_show_cnt", 0), # 自然曝光数
|
||||
"ad_show_cnt": result_data.get("ad_show_cnt", 0), # 加热曝光数
|
||||
"total_play_cnt": result_data.get("total_play_cnt", 0), # 总播放数
|
||||
"natural_play_cnt": result_data.get("natural_play_cnt", 0), # 自然播放数
|
||||
"ad_play_cnt": result_data.get("ad_play_cnt", 0), # 加热播放数
|
||||
"effective_play_cnt": result_data.get("effective_play_cnt", 0), # 有效播放数
|
||||
# A3指标
|
||||
"a3_increase_cnt": result_data.get("a3_increase_cnt", 0), # 新增A3
|
||||
"ad_a3_increase_cnt": result_data.get("ad_a3_increase_cnt", 0), # 加热新增A3
|
||||
"natural_a3_increase_cnt": result_data.get("natural_a3_increase_cnt", 0), # 自然新增A3
|
||||
# 搜索指标
|
||||
"after_view_search_uv": result_data.get("after_view_search_uv", 0), # 看后搜人数
|
||||
"after_view_search_pv": result_data.get("after_view_search_pv", 0), # 看后搜次数
|
||||
"brand_search_uv": result_data.get("brand_search_uv", 0), # 品牌搜索人数
|
||||
"product_search_uv": result_data.get("product_search_uv", 0), # 商品搜索人数
|
||||
"return_search_cnt": result_data.get("return_search_cnt", 0), # 回搜次数
|
||||
# 费用指标
|
||||
"cost": result_data.get("cost", 0), # 总花费
|
||||
"natural_cost": result_data.get("natural_cost", 0), # 自然花费
|
||||
"ad_cost": result_data.get("ad_cost", 0), # 加热花费
|
||||
}
|
||||
Reference in New Issue
Block a user