fix(backend): 修复详情页数据结构与前端不匹配的问题
将 get_video_analysis_data 返回的字段名改为匹配前端 VideoAnalysisData 类型： - cost_metrics_raw -> cost_metrics - cost_metrics_calculated -> calculated_metrics - 字段名统一使用前端期望的命名 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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@ -120,13 +120,13 @@ async def get_video_analysis_data(
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"""
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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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获取视频分析数据（T-024主接口）。
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包含：
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返回6大类指标（匹配前端 VideoAnalysisData 类型）：
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- 基础信息（从数据库）
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- base_info: 基础信息
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- 触达指标（从巨量云图API）
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- reach_metrics: 触达指标
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- A3指标
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- a3_metrics: A3指标
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- 搜索指标
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- search_metrics: 搜索指标
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- 费用指标
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- cost_metrics: 费用指标
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- 成本指标（计算得出）
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- calculated_metrics: 成本指标（实时计算）
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Args:
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Args:
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session: 数据库会话
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session: 数据库会话
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@ -137,26 +137,26 @@ async def get_video_analysis_data(
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Raises:
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Raises:
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ValueError: 视频不存在时抛出
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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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"""
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from app.services.brand_api import get_brand_names
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# 1. 从数据库获取基础信息
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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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video = await get_video_base_info(session, item_id)
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if video is None:
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if video is None:
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raise ValueError(f"Video not found: {item_id}")
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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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# 2. 获取品牌名称
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base_info = {
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brand_name = ""
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"item_id": video.item_id,
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if video.brand_id:
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"title": video.title,
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brand_map = await get_brand_names([video.brand_id])
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"video_url": video.video_url,
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brand_name = brand_map.get(video.brand_id, video.brand_id)
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"star_id": video.star_id,
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"star_unique_id": video.star_unique_id,
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# 3. 调用巨量云图API获取实时 A3 数据和 cost
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"star_nickname": video.star_nickname,
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a3_increase_cnt = 0
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"publish_time": video.publish_time.isoformat() if video.publish_time else None,
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ad_a3_increase_cnt = 0
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"industry_name": video.industry_name,
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natural_a3_increase_cnt = 0
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}
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api_cost = 0.0
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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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try:
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publish_time = video.publish_time or datetime.now()
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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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industry_id = video.industry_id or ""
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@ -166,75 +166,101 @@ async def get_video_analysis_data(
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publish_time=publish_time,
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publish_time=publish_time,
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industry_id=industry_id,
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industry_id=industry_id,
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)
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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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analysis_data = parse_analysis_response(api_response)
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a3_increase_cnt = analysis_data.get("a3_increase_cnt", 0)
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ad_a3_increase_cnt = analysis_data.get("ad_a3_increase_cnt", 0)
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natural_a3_increase_cnt = analysis_data.get("natural_a3_increase_cnt", 0)
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api_cost = analysis_data.get("cost", 0)
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except YuntuAPIError as e:
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except Exception as e:
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logger.error(f"Failed to get yuntu analysis for {item_id}: {e.message}")
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logger.warning(f"API failed for {item_id}: {e}, using DB data")
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# API失败时，使用数据库中的数据
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a3_increase_cnt = video.total_new_a3_cnt or 0
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analysis_data = {
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ad_a3_increase_cnt = video.heated_new_a3_cnt or 0
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"total_show_cnt": video.total_play_cnt or 0,
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natural_a3_increase_cnt = video.natural_new_a3_cnt or 0
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"natural_show_cnt": video.natural_play_cnt or 0,
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api_cost = video.total_cost or 0.0
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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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# 4. 数据库字段
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"natural_play_cnt": video.natural_play_cnt or 0,
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estimated_video_cost = video.estimated_video_cost or 0.0
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"ad_play_cnt": video.heated_play_cnt or 0,
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natural_play_cnt = video.natural_play_cnt or 0
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"effective_play_cnt": 0,
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heated_play_cnt = video.heated_play_cnt or 0
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"a3_increase_cnt": 0,
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total_play_cnt = video.total_play_cnt or 0
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"ad_a3_increase_cnt": 0,
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after_view_search_uv = video.after_view_search_uv or 0
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"natural_a3_increase_cnt": 0,
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"after_view_search_uv": video.after_view_search_uv or 0,
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"after_view_search_pv": 0,
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"brand_search_uv": 0,
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"product_search_uv": 0,
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"return_search_cnt": video.return_search_cnt or 0,
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"cost": video.estimated_video_cost or 0,
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"natural_cost": 0,
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"ad_cost": 0,
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}
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# 5. 计算成本指标
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# 5. 计算成本指标
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cost = analysis_data.get("cost", 0) or (video.estimated_video_cost or 0)
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# 预估加热费用 = max(total_cost - estimated_video_cost, 0)
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cost_metrics = calculate_cost_metrics(
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heated_cost = max(api_cost - estimated_video_cost, 0) if api_cost > estimated_video_cost else 0
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cost=cost,
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natural_play_cnt=analysis_data.get("natural_play_cnt", 0),
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a3_increase_cnt=analysis_data.get("a3_increase_cnt", 0),
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natural_a3_increase_cnt=analysis_data.get("natural_a3_increase_cnt", 0),
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after_view_search_uv=analysis_data.get("after_view_search_uv", 0),
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total_play_cnt=analysis_data.get("total_play_cnt", 0),
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)
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# 6. 组装返回数据
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# 预估自然看后搜人数
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estimated_natural_search_uv = None
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if total_play_cnt > 0 and after_view_search_uv > 0:
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estimated_natural_search_uv = round((natural_play_cnt / total_play_cnt) * after_view_search_uv, 2)
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# 预估CPM = (total_cost / total_play_cnt) * 1000
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estimated_cpm = round((api_cost / total_play_cnt) * 1000, 2) if total_play_cnt > 0 else None
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# 预估自然CPM = (estimated_video_cost / natural_play_cnt) * 1000
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estimated_natural_cpm = round((estimated_video_cost / natural_play_cnt) * 1000, 2) if natural_play_cnt > 0 else None
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# 预估CPA3 = total_cost / a3_increase_cnt
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estimated_cp_a3 = round(api_cost / a3_increase_cnt, 2) if a3_increase_cnt > 0 else None
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# 预估自然CPA3 = estimated_video_cost / natural_a3_increase_cnt
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estimated_natural_cp_a3 = round(estimated_video_cost / natural_a3_increase_cnt, 2) if natural_a3_increase_cnt > 0 else None
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# 预估CPsearch = total_cost / after_view_search_uv
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estimated_cp_search = round(api_cost / after_view_search_uv, 2) if after_view_search_uv > 0 else None
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# 自然CPsearch = estimated_video_cost / estimated_natural_search_uv
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estimated_natural_cp_search = round(estimated_video_cost / estimated_natural_search_uv, 2) if estimated_natural_search_uv and estimated_natural_search_uv > 0 else None
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# 6. 组装返回数据（匹配前端 VideoAnalysisData 类型）
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return {
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return {
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"base_info": base_info,
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"base_info": {
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"star_nickname": video.star_nickname or "",
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"star_unique_id": video.star_unique_id or "",
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"vid": video.item_id,
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"title": video.title or "",
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"create_date": video.publish_time.isoformat() if video.publish_time else None,
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"hot_type": video.viral_type or "",
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"industry_id": video.industry_id or "",
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"brand_id": video.brand_id or "",
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"brand_name": brand_name,
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"video_url": video.video_url or "",
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},
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"reach_metrics": {
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"reach_metrics": {
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"total_show_cnt": analysis_data.get("total_show_cnt", 0),
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"natural_play_cnt": natural_play_cnt,
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"natural_show_cnt": analysis_data.get("natural_show_cnt", 0),
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"heated_play_cnt": heated_play_cnt,
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"ad_show_cnt": analysis_data.get("ad_show_cnt", 0),
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"total_play_cnt": total_play_cnt,
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"total_play_cnt": analysis_data.get("total_play_cnt", 0),
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"total_interaction_cnt": video.total_interact or 0,
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"natural_play_cnt": analysis_data.get("natural_play_cnt", 0),
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"digg_cnt": video.like_cnt or 0,
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"ad_play_cnt": analysis_data.get("ad_play_cnt", 0),
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"share_cnt": video.share_cnt or 0,
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"effective_play_cnt": analysis_data.get("effective_play_cnt", 0),
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"comment_cnt": video.comment_cnt or 0,
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},
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},
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"a3_metrics": {
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"a3_metrics": {
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"a3_increase_cnt": analysis_data.get("a3_increase_cnt", 0),
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"total_new_a3_cnt": a3_increase_cnt,
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"ad_a3_increase_cnt": analysis_data.get("ad_a3_increase_cnt", 0),
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"heated_new_a3_cnt": ad_a3_increase_cnt,
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"natural_a3_increase_cnt": analysis_data.get("natural_a3_increase_cnt", 0),
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"natural_new_a3_cnt": natural_a3_increase_cnt,
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},
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},
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"search_metrics": {
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"search_metrics": {
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"after_view_search_uv": analysis_data.get("after_view_search_uv", 0),
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"back_search_uv": video.return_search_cnt or 0,
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"after_view_search_pv": analysis_data.get("after_view_search_pv", 0),
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"back_search_cnt": video.return_search_cnt or 0,
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"brand_search_uv": analysis_data.get("brand_search_uv", 0),
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"after_view_search_uv": after_view_search_uv,
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"product_search_uv": analysis_data.get("product_search_uv", 0),
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"after_view_search_cnt": after_view_search_uv,
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"return_search_cnt": analysis_data.get("return_search_cnt", 0),
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"estimated_natural_search_uv": estimated_natural_search_uv,
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},
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},
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"cost_metrics_raw": {
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"cost_metrics": {
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"cost": analysis_data.get("cost", 0),
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"total_cost": api_cost,
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"natural_cost": analysis_data.get("natural_cost", 0),
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"heated_cost": heated_cost,
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"ad_cost": analysis_data.get("ad_cost", 0),
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"estimated_video_cost": estimated_video_cost,
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},
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"calculated_metrics": {
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"estimated_cpm": estimated_cpm,
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"estimated_natural_cpm": estimated_natural_cpm,
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"estimated_cp_a3": estimated_cp_a3,
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"estimated_natural_cp_a3": estimated_natural_cp_a3,
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"estimated_cp_search": estimated_cp_search,
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"estimated_natural_cp_search": estimated_natural_cp_search,
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},
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},
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"cost_metrics_calculated": cost_metrics,
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}
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}
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