feat: 召回策略效果新增分层/按桶/独占维度 SQL

- 分层版（_分层）：按 apptype × abcode × suffix 单尾号下钻
- 按桶版（_按桶）：按 apptype × abcode × suffix_group 实验分桶下钻
- 独占版（_独占）：在按桶基础上加 n_bucket(全部/独有) 维度，
  破解"一视频多召回源命中"导致的假残留：用 SIZE(push_from_array)=1
  识别独占曝光，新增 exp_pv_rate_全大盘 列直读"剔除该路损失上限"
- 精简版（无 _top20vid_）：去掉 vid 下钻和视频元信息，行数减 94%
- json: 召回源 21 路固定顺序 + n_bucket(全部→独有) + apptype(0→4) 自定义排序

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

tasks/召回策略效果/base_baseline_named_top20vid_分层.json

@@ -0,0 +1,10 @@
+{
+  "token": "ONZqsxB9BhGH8tt90EScSJT5nHh",
+  "sheet_id": "tcM5q0",
+  "sort": "日期:desc,apptype:asc,exp_pv_rate:desc,source_type:asc,layer_type:asc",
+  "order": {
+    "apptype": ["all", "0", "4"]
+  },
+  "cols": null,
+  "append_cols": true
+}

tasks/召回策略效果/base_baseline_named_top20vid_分层.sql

@@ -0,0 +1,717 @@
+-- 全量基线 · 召回策略效果（实验分层版 · 中文名 + 总计行 + 消耗比 + Top20 vid + 视频元信息）
+-- 基于 base_baseline_named_top60vid.sql + 引入尾号实验分组（apptype × abcode × suffix_group × suffix）
+-- 实验映射参考 tasks/00_尾号实验/base_all_new_v3_分层.sql（保持配置 single-source-of-truth 概念）
+--
+-- 核心区别 vs 原 top60vid 版：
+--   1. 增加 4 个实验维度：apptype, abcode, suffix_group, suffix
+--   2. apptype 不再合并为 all：实验配置是 per-apptype，0/4 分别独立输出
+--   3. abcode 过滤改为参考文件的 canonical 版：apptype=4 用 ab0-9；apptype=0 排除 ab5/6/7
+--   4. exp_pv 阈值由 1000 调到 100：分到 ~32 个实验桶后单桶流量缩到 ~1/32
+--
+-- 输出层级（row_order）：
+--   0 = (apptype, abcode, suffix_group, suffix) 总计（不分召回源）
+--   1 = (apptype, abcode, suffix_group, suffix) × 召回源 汇总
+--   2 = (apptype, abcode, suffix_group, suffix) × 召回源 × vid top20 明细 + 大盘 top20
+--
+-- 占比分母：三层均用对应 (apptype, abcode, suffix_group, suffix) 的 total_tab，桶内自洽
+-- 消耗比 = return_n_uv_rate / exp_pv_rate - 1：>0 高效, <0 低效, 总计行恒为 0
+-- 视频元信息：JOIN loghubods.video_dimension_detail_add_column（仅 vid 行）
+-- 跑批：python fetch_daily.py tasks/召回策略效果/base_baseline_named_top20vid_分层.sql --days 30
+
+WITH t_suffix_group AS
+(
+    SELECT "a" AS suffix, "ab" AS suffix_group
+    UNION ALL SELECT "b", "ab"
+    UNION ALL SELECT "0", "01"
+    UNION ALL SELECT "1", "01"
+    UNION ALL SELECT "2", "2c"
+    UNION ALL SELECT "c", "2c"
+    UNION ALL SELECT "3", "34"
+    UNION ALL SELECT "4", "34"
+    UNION ALL SELECT "5", "5d"
+    UNION ALL SELECT "d", "5d"
+    UNION ALL SELECT "6", "67"
+    UNION ALL SELECT "7", "67"
+    UNION ALL SELECT "8", "89"
+    UNION ALL SELECT "9", "89"
+    UNION ALL SELECT "e", "ef"
+    UNION ALL SELECT "f", "ef"
+)
+-- 实验映射：未列出的桶 → 自动默认为"对照组"
+-- 维护方式与 tasks/00_尾号实验/base_all_new_v3_分层.sql 同步
+,t_experiment_map AS
+(
+    -- ── apptype = 4 ──────────────────────────────────────────────────
+    SELECT "4" AS apptype, "ab" AS suffix_group, "实验组：变更str*ros建模目标实验 有问题" AS abcode, "20260413" AS start_dt, "20260415" AS end_dt
+    UNION ALL SELECT "4", "ab", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "ab", "实验组：排序对高质召回提权实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "5d", "实验组：解构特征排序str模型",     "20260314", "20260406"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "5d", "实验组：DNN模型-调参",     "20260508", "29991231"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "34", "实验组：召回剔除低质召回实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：bn_ros新损失函数",        "20260311", "20260319"
+    UNION ALL SELECT "4", "ef", "实验组：解构特征排序str模型&召回", "20260314", "20260320"
+    UNION ALL SELECT "4", "ef", "实验组：DNN模型",                 "20260407", "29991231"
+    UNION ALL SELECT "4", "2c", "实验组：DNN模型-调参",            "20260413", "29991231"
+    UNION ALL SELECT "4", "89", "对照组",                          "20260301", "299991231"
+
+    -- ── apptype = 0 ──────────────────────────────────────────────────
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验 有问题", "20260413", "20260415"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验", "20260417", "20260429"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "0", "01", "对照组", "20260508", "29991231"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "34", "实验组：曝光建模v1+变更str*ros建模目标实验", "20260425", "20260425"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260426", "20260429"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "67", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260417", "29991231"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "5d", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "5d", "实验组：曝光建模v1+DNN模型", "20260425", "29991231"
+    UNION ALL SELECT "0", "ef", "实验组：DNN模型-调参",            "20260410", "29991231"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型",                 "20260413", "20260507"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型-调参",                 "20260508", "29991231"
+    UNION ALL SELECT "0", "89", "对照组",                          "20260301", "20260507"
+    UNION ALL SELECT "0", "89", "实验组：DNN模型-调参",                          "20260508", "29991231"
+)
+,base_tab AS
+(
+    SELECT  sub.dt
+            ,sub.apptype
+            ,sg.suffix_group
+            ,COALESCE(m.abcode,"对照组") AS abcode
+            ,sub.suffix
+            ,sub.vid
+            ,sub.mid
+            ,sub.is_share
+            ,sub.share_pv
+            ,sub.is_return_1
+            ,sub.return_n_uv
+            ,sub.return_n_uv_noself
+            ,sub.new_exposure_cnt
+            ,CASE   WHEN sub.page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页") THEN "推荐"
+                    WHEN sub.page IN ("回流页","其他") THEN "非推荐"
+                    ELSE "其他"
+            END AS page
+            ,sub.push_from_array
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,vid
+                        ,mid
+                        ,is_share
+                        ,COALESCE(share_cnt,0) AS share_pv
+                        ,is_return_1
+                        ,COALESCE(return_n_uv,0) AS return_n_uv
+                        ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+                        ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+                        ,SPLIT(
+                              REGEXP_REPLACE(GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList[*].pushFrom'),'(\\[|\\]|")','')
+                        ,',') AS push_from_array
+                        ,page
+                        ,SUBSTR(GET_JSON_OBJECT(extend,'$.rootsessionid'),LENGTH(GET_JSON_OBJECT(extend,'$.rootsessionid')),1) AS suffix
+                FROM    loghubods.dwd_recsys_alg_exposure_base_20250108
+                WHERE   dt = '${dt}'
+                AND     apptype IN ('0','4')
+                AND     recommendlogvo IS NOT NULL
+                AND     GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList') IS NOT NULL
+                AND     page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页")
+                -- canonical 过滤：apptype=4 用 ab0-9；apptype=0 排除 ab5/6/7
+                AND     abcode NOT IN ("ab100")
+                AND     (apptype = "4"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab8","ab9"))
+                AND     (apptype = "0"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab5","ab6","ab7","ab8","ab9"))
+            ) sub
+    -- INNER JOIN: 仅合法 hex 尾号（防御异常数据）
+    INNER JOIN t_suffix_group sg
+    ON      sub.suffix = sg.suffix
+    -- LEFT JOIN: 未命中实验 → "对照组"
+    LEFT JOIN t_experiment_map m
+    ON      sub.apptype = m.apptype
+    AND     sg.suffix_group = m.suffix_group
+    AND     '${dt}' BETWEEN m.start_dt AND m.end_dt
+)
+,push_from_map AS
+(
+    -- 召回源标识 → 中文名 / 一级类目 / 二级类目
+    -- 来源：~/Desktop/project/docs/召回策略梳理/recall_strategies_full.csv
+              SELECT 'recall_strategy_region_1h'      AS push_from, '省份实时热门'              AS strategy_name, '场' AS l1, '地域'    AS l2
+    UNION ALL SELECT 'recall_pool_region_h',           '区域小时热门',              '场', '地域'
+    UNION ALL SELECT 'recall_pool_region_24h',         '区域24小时热门',            '场', '地域'
+    UNION ALL SELECT 'recall_pool_24h',                '全局24小时兜底',            '场', '地域'
+    UNION ALL SELECT 'rov_recall_24h_dup',             '全局24小时兜底dup',         '场', '地域'
+    UNION ALL SELECT 'city_rovn',                      '城市热门',                  '场', '地域'
+    UNION ALL SELECT 'priori_province_ros',            '省份日热门-分享回流率',     '场', '地域'
+    UNION ALL SELECT 'priori_province_rovn',           '省份日热门-回流率',         '场', '地域'
+    UNION ALL SELECT 'priori_province_str',            '省份日热门-分享率',         '场', '地域'
+    UNION ALL SELECT 'recall_strategy_head_cate1',     '头部视频一级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2',     '头部视频二级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2_rov', '头部视频相似类目',          '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rovn',  '场景协同-回流率',           '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rosn',  '场景协同-分享回流率',       '场', '头部视频'
+    UNION ALL SELECT 'return_video_recall',            '老版相似视频(老版i2i)',     '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_user_cate1',     '用户一级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'recall_strategy_user_cate2',     '用户二级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'return_1_cate2_ros',             '回流类目ros',               '人', '回流'
+    UNION ALL SELECT 'return_1_cate2_str',             '回流类目rov',               '人', '回流'
+    UNION ALL SELECT 'flow_pool',                      '汤姆森冷启池',              '场', '流量池'
+    UNION ALL SELECT 'recall_strategy_hotspot',        '抖音热点池',                '场', '流量池'
+)
+,total_tab AS
+(
+    -- 每 (apptype, abcode, suffix_group, suffix, page) 大盘汇总，作为占比分母
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,suffix
+            ,page
+            ,COUNT(DISTINCT mid) AS total_exp_uv
+            ,COUNT(1) AS total_exp_pv
+            ,SUM(share_pv) AS total_share_pv
+            ,SUM(return_n_uv) AS total_return_n_uv
+            ,SUM(return_n_uv_noself) AS total_return_n_uv_noself
+            ,SUM(new_exposure_cnt) AS total_new_exposure_cnt
+            ,COUNT(DISTINCT vid) AS total_vid_cnt
+    FROM    base_tab
+    GROUP BY dt, apptype, abcode, suffix_group, suffix, page
+)
+,detail_table AS
+(
+    -- 每 (apptype, abcode, suffix_group, suffix, page, 召回源) 一行
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,suffix
+            ,page
+            ,single_push_from
+            ,COALESCE(exp_uv,0) AS exp_uv
+            ,COALESCE(exp_pv,0) AS exp_pv
+            ,COALESCE(share_pv,0) AS share_pv
+            ,COALESCE(return_n_uv,0) AS return_n_uv
+            ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+            ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+            ,COALESCE(vid_cnt,0) AS vid_cnt
+            ,ROUND(COALESCE(视频平均曝光次数,0),4) AS 视频平均曝光次数
+            ,ROUND(COALESCE(share_pv / exp_pv,0),4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv,0),4) AS vovh24
+            ,max_return_n_uv
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,suffix
+                        ,page
+                        ,single_push_from
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                        ,COUNT(DISTINCT vid) AS vid_cnt
+                        ,COUNT(1) / COUNT(DISTINCT vid) AS 视频平均曝光次数
+                        ,MAX(CAST(return_n_uv AS BIGINT)) AS max_return_n_uv
+                FROM    (
+                            SELECT  dt
+                                    ,apptype
+                                    ,abcode
+                                    ,suffix_group
+                                    ,suffix
+                                    ,vid
+                                    ,mid
+                                    ,is_share
+                                    ,share_pv
+                                    ,is_return_1
+                                    ,return_n_uv
+                                    ,return_n_uv_noself
+                                    ,new_exposure_cnt
+                                    ,page
+                                    ,single_push_from
+                            FROM    base_tab
+                            LATERAL VIEW EXPLODE(push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, suffix, page, single_push_from
+            )
+)
+,vid_detail_table AS
+(
+    -- 每 (apptype, abcode, suffix_group, suffix, 召回源, vid) 一行 + 按 exp_pv 排名
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,suffix
+            ,page
+            ,single_push_from
+            ,vid
+            ,exp_uv
+            ,exp_pv
+            ,share_pv
+            ,return_n_uv
+            ,return_n_uv_noself
+            ,new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, suffix, page, single_push_from
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,suffix
+                        ,page
+                        ,single_push_from
+                        ,vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    (
+                            SELECT  dt
+                                    ,apptype
+                                    ,abcode
+                                    ,suffix_group
+                                    ,suffix
+                                    ,vid
+                                    ,mid
+                                    ,share_pv
+                                    ,return_n_uv
+                                    ,return_n_uv_noself
+                                    ,new_exposure_cnt
+                                    ,page
+                                    ,single_push_from
+                            FROM    base_tab
+                            LATERAL VIEW EXPLODE(push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, suffix, page, single_push_from, vid
+            )
+)
+,vid_total_table AS
+(
+    -- 大盘层级（未经 EXPLODE）：每 (apptype, abcode, suffix_group, suffix, vid) 一行 + 按 exp_pv 排名
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,suffix
+            ,page
+            ,vid
+            ,exp_uv
+            ,exp_pv
+            ,share_pv
+            ,return_n_uv
+            ,return_n_uv_noself
+            ,new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, suffix, page
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,suffix
+                        ,page
+                        ,vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    base_tab
+                GROUP BY dt, apptype, abcode, suffix_group, suffix, page, vid
+            )
+)
+-- ============ 总计 + 召回源汇总 + Top20 vid + 总计 Top20 vid 四层 UNION ============
+SELECT  row_order
+        ,日期
+        ,apptype
+        ,abcode
+        ,suffix_group
+        ,suffix
+        ,页面
+        ,召回源
+        ,召回策略名
+        ,一级类目
+        ,二级类目
+        ,vid_rank
+        ,vid
+        ,视频标题
+        ,视频上传时间
+        ,视频地址
+        ,首发日期
+        ,首发播放量
+        ,首发来源
+        ,首发渠道
+        ,str
+        ,rosn
+        ,rovn
+        ,rosn_noself
+        ,rovn_noself
+        ,vovh24
+        ,exp_uv
+        ,total_exp_uv
+        ,exp_uv_rate
+        ,exp_pv
+        ,total_exp_pv
+        ,exp_pv_rate
+        ,share_pv
+        ,total_share_pv
+        ,share_pv_rate
+        ,return_n_uv
+        ,total_return_n_uv
+        ,return_n_uv_rate
+        ,消耗比
+        ,return_n_uv_noself
+        ,total_return_n_uv_noself
+        ,return_n_uv_rate_noself
+        ,消耗比_noself
+        ,new_exposure_cnt
+        ,total_new_exposure_cnt
+        ,new_exposure_rate
+        ,vid_cnt
+        ,total_vid_cnt
+        ,vid_cnt_rate
+        ,人均曝光pv
+        ,人均分享pv
+        ,视频平均曝光次数
+        ,max_return_n_uv
+FROM    (
+    -- 召回源汇总：每 (apptype, abcode, suffix_group, suffix, 召回源) 一行（row_order=1）
+    SELECT  1 AS row_order
+            ,t1.dt AS 日期
+            ,t1.apptype AS apptype
+            ,t1.abcode AS abcode
+            ,t1.suffix_group AS suffix_group
+            ,t1.suffix AS suffix
+            ,t1.page AS 页面
+            ,t1.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, t1.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__汇总__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,t1.str
+            ,t1.rosn
+            ,t1.rovn
+            ,t1.rosn_noself
+            ,t1.rovn_noself
+            ,t1.vovh24
+            ,t1.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(t1.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,t1.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(t1.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,t1.share_pv
+            ,t2.total_share_pv
+            ,ROUND(t1.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,t1.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(t1.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv / t2.total_return_n_uv) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,t1.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(t1.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv_noself / t2.total_return_n_uv_noself) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,t1.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(t1.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,t1.vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(t1.vid_cnt / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(t1.exp_pv / t1.exp_uv,4) AS 人均曝光pv
+            ,ROUND(t1.share_pv / t1.exp_uv,4) AS 人均分享pv
+            ,t1.视频平均曝光次数
+            ,t1.max_return_n_uv
+    FROM    detail_table t1
+    JOIN    total_tab t2
+    ON      t1.dt = t2.dt
+    AND     t1.apptype = t2.apptype
+    AND     t1.abcode = t2.abcode
+    AND     t1.suffix_group = t2.suffix_group
+    AND     t1.suffix = t2.suffix
+    AND     t1.page = t2.page
+    LEFT JOIN push_from_map m
+    ON      t1.single_push_from = m.push_from
+    WHERE   t1.page IN ("推荐")
+    AND     t1.exp_pv > 100
+
+    UNION ALL
+
+    -- 总计：每 (apptype, abcode, suffix_group, suffix) 一行（不分召回源，未经 EXPLODE 的真实大盘）row_order=0
+    SELECT  0 AS row_order
+            ,dt AS 日期
+            ,apptype AS apptype
+            ,abcode AS abcode
+            ,suffix_group AS suffix_group
+            ,suffix AS suffix
+            ,page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__总计__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,ROUND(COALESCE(total_share_pv / total_exp_pv,0),4) AS str
+            ,ROUND(COALESCE(total_return_n_uv / total_share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(total_return_n_uv / total_exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(total_new_exposure_cnt / total_exp_pv,0),4) AS vovh24
+            ,total_exp_uv AS exp_uv
+            ,total_exp_uv AS total_exp_uv
+            ,1.0 AS exp_uv_rate
+            ,total_exp_pv AS exp_pv
+            ,total_exp_pv AS total_exp_pv
+            ,1.0 AS exp_pv_rate
+            ,total_share_pv AS share_pv
+            ,total_share_pv AS total_share_pv
+            ,1.0 AS share_pv_rate
+            ,total_return_n_uv AS return_n_uv
+            ,total_return_n_uv AS total_return_n_uv
+            ,1.0 AS return_n_uv_rate
+            ,0.0 AS 消耗比                                    -- 总计自身 = 平均，恒为 0
+            ,total_return_n_uv_noself AS return_n_uv_noself
+            ,total_return_n_uv_noself AS total_return_n_uv_noself
+            ,1.0 AS return_n_uv_rate_noself
+            ,0.0 AS 消耗比_noself
+            ,total_new_exposure_cnt AS new_exposure_cnt
+            ,total_new_exposure_cnt AS total_new_exposure_cnt
+            ,1.0 AS new_exposure_rate
+            ,total_vid_cnt AS vid_cnt
+            ,total_vid_cnt AS total_vid_cnt
+            ,1.0 AS vid_cnt_rate
+            ,ROUND(COALESCE(total_exp_pv / total_exp_uv,0),4) AS 人均曝光pv
+            ,ROUND(COALESCE(total_share_pv / total_exp_uv,0),4) AS 人均分享pv
+            ,ROUND(COALESCE(total_exp_pv / total_vid_cnt,0),4) AS 视频平均曝光次数
+            ,CAST(NULL AS BIGINT) AS max_return_n_uv
+    FROM    total_tab
+    WHERE   page IN ("推荐")
+
+    UNION ALL
+
+    -- vid 明细：每 (apptype, abcode, suffix_group, suffix, 召回源) top20 视频（按 exp_pv 降序）row_order=2
+    SELECT  2 AS row_order
+            ,v.dt AS 日期
+            ,v.apptype AS apptype
+            ,v.abcode AS abcode
+            ,v.suffix_group AS suffix_group
+            ,v.suffix AS suffix
+            ,v.page AS 页面
+            ,v.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, v.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,v.vid_rank
+            ,CAST(v.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,v.str
+            ,v.rosn
+            ,v.rovn
+            ,v.rosn_noself
+            ,v.rovn_noself
+            ,v.vovh24
+            ,v.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(v.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,v.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(v.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,v.share_pv
+            ,t2.total_share_pv
+            ,ROUND(v.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,v.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(v.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv / t2.total_return_n_uv) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,v.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(v.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv_noself / t2.total_return_n_uv_noself) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,v.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(v.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(v.exp_pv / v.exp_uv,4) AS 人均曝光pv
+            ,ROUND(v.share_pv / v.exp_uv,4) AS 人均分享pv
+            ,CAST(v.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(v.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_detail_table v
+    JOIN    total_tab t2
+    ON      v.dt = t2.dt
+    AND     v.apptype = t2.apptype
+    AND     v.abcode = t2.abcode
+    AND     v.suffix_group = t2.suffix_group
+    AND     v.suffix = t2.suffix
+    AND     v.page = t2.page
+    LEFT JOIN push_from_map m
+    ON      v.single_push_from = m.push_from
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      v.dt = vd.dt AND CAST(v.vid AS BIGINT) = vd.视频id
+    WHERE   v.page IN ("推荐")
+    AND     v.vid_rank <= 20
+
+    UNION ALL
+
+    -- 总计 vid 明细：每 (apptype, abcode, suffix_group, suffix) 大盘 top20 视频（不分召回源）row_order=2, 召回源='__总计__'
+    SELECT  2 AS row_order
+            ,vt.dt AS 日期
+            ,vt.apptype AS apptype
+            ,vt.abcode AS abcode
+            ,vt.suffix_group AS suffix_group
+            ,vt.suffix AS suffix
+            ,vt.page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,vt.vid_rank
+            ,CAST(vt.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,vt.str
+            ,vt.rosn
+            ,vt.rovn
+            ,vt.rosn_noself
+            ,vt.rovn_noself
+            ,vt.vovh24
+            ,vt.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(vt.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,vt.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(vt.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,vt.share_pv
+            ,t2.total_share_pv
+            ,ROUND(vt.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,vt.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(vt.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv / t2.total_return_n_uv) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,vt.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(vt.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv_noself / t2.total_return_n_uv_noself) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,vt.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(vt.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(vt.exp_pv / vt.exp_uv,4) AS 人均曝光pv
+            ,ROUND(vt.share_pv / vt.exp_uv,4) AS 人均分享pv
+            ,CAST(vt.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(vt.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_total_table vt
+    JOIN    total_tab t2
+    ON      vt.dt = t2.dt
+    AND     vt.apptype = t2.apptype
+    AND     vt.abcode = t2.abcode
+    AND     vt.suffix_group = t2.suffix_group
+    AND     vt.suffix = t2.suffix
+    AND     vt.page = t2.page
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      vt.dt = vd.dt AND CAST(vt.vid AS BIGINT) = vd.视频id
+    WHERE   vt.page IN ("推荐")
+    AND     vt.vid_rank <= 20
+) u
+WHERE   exp_pv >= 100
+;

tasks/召回策略效果/base_baseline_named_top20vid_按桶.json

@@ -0,0 +1,10 @@
+{
+  "token": "ONZqsxB9BhGH8tt90EScSJT5nHh",
+  "sheet_id": "TRMODI",
+  "sort": "日期:desc,apptype:asc,exp_pv_rate:desc,source_type:asc,layer_type:asc",
+  "order": {
+    "apptype": ["0", "4"]
+  },
+  "cols": null,
+  "append_cols": true
+}

tasks/召回策略效果/base_baseline_named_top20vid_按桶.sql

@@ -0,0 +1,699 @@
+-- 全量基线 · 召回策略效果（实验分层版 · 中文名 + 总计行 + 消耗比 + Top20 vid + 视频元信息）
+-- 基于 base_baseline_named_top60vid.sql + 引入尾号实验分组（apptype × abcode × suffix_group × suffix）
+-- 实验映射参考 tasks/00_尾号实验/base_all_new_v3_分层.sql（保持配置 single-source-of-truth 概念）
+--
+-- 核心区别 vs 原 top60vid 版：
+--   1. 增加 3 个实验维度：apptype, abcode, suffix_group（不切到 suffix 单尾号）
+--   2. apptype 不再合并为 all：实验配置是 per-apptype，0/4 分别独立输出
+--   3. abcode 过滤改为参考文件的 canonical 版：apptype=4 用 ab0-9；apptype=0 排除 ab5/6/7
+--   4. exp_pv 阈值由 1000 调到 100：分到 ~32 个实验桶后单桶流量缩到 ~1/32
+--
+-- 输出层级（row_order）：
+--   0 = (apptype, abcode, suffix_group) 总计（不分召回源）
+--   1 = (apptype, abcode, suffix_group) × 召回源 汇总
+--   2 = (apptype, abcode, suffix_group) × 召回源 × vid top20 明细 + 大盘 top20
+--
+-- 占比分母：三层均用对应 (apptype, abcode, suffix_group) 的 total_tab，桶内自洽
+-- 消耗比 = return_n_uv_rate / exp_pv_rate - 1：>0 高效, <0 低效, 总计行恒为 0
+-- 视频元信息：JOIN loghubods.video_dimension_detail_add_column（仅 vid 行）
+-- 跑批：python fetch_daily.py tasks/召回策略效果/base_baseline_named_top20vid_按桶.sql --days 30
+
+WITH t_suffix_group AS
+(
+    SELECT "a" AS suffix, "ab" AS suffix_group
+    UNION ALL SELECT "b", "ab"
+    UNION ALL SELECT "0", "01"
+    UNION ALL SELECT "1", "01"
+    UNION ALL SELECT "2", "2c"
+    UNION ALL SELECT "c", "2c"
+    UNION ALL SELECT "3", "34"
+    UNION ALL SELECT "4", "34"
+    UNION ALL SELECT "5", "5d"
+    UNION ALL SELECT "d", "5d"
+    UNION ALL SELECT "6", "67"
+    UNION ALL SELECT "7", "67"
+    UNION ALL SELECT "8", "89"
+    UNION ALL SELECT "9", "89"
+    UNION ALL SELECT "e", "ef"
+    UNION ALL SELECT "f", "ef"
+)
+-- 实验映射：未列出的桶 → 自动默认为"对照组"
+-- 维护方式与 tasks/00_尾号实验/base_all_new_v3_分层.sql 同步
+,t_experiment_map AS
+(
+    -- ── apptype = 4 ──────────────────────────────────────────────────
+    SELECT "4" AS apptype, "ab" AS suffix_group, "实验组：变更str*ros建模目标实验 有问题" AS abcode, "20260413" AS start_dt, "20260415" AS end_dt
+    UNION ALL SELECT "4", "ab", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "ab", "实验组：排序对高质召回提权实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "5d", "实验组：解构特征排序str模型",     "20260314", "20260406"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "5d", "实验组：DNN模型-调参",     "20260508", "29991231"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "34", "实验组：召回剔除低质召回实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：bn_ros新损失函数",        "20260311", "20260319"
+    UNION ALL SELECT "4", "ef", "实验组：解构特征排序str模型&召回", "20260314", "20260320"
+    UNION ALL SELECT "4", "ef", "实验组：DNN模型",                 "20260407", "29991231"
+    UNION ALL SELECT "4", "2c", "实验组：DNN模型-调参",            "20260413", "29991231"
+    UNION ALL SELECT "4", "89", "对照组",                          "20260301", "299991231"
+
+    -- ── apptype = 0 ──────────────────────────────────────────────────
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验 有问题", "20260413", "20260415"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验", "20260417", "20260429"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "0", "01", "对照组", "20260508", "29991231"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "34", "实验组：曝光建模v1+变更str*ros建模目标实验", "20260425", "20260425"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260426", "20260429"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "67", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260417", "29991231"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "5d", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "5d", "实验组：曝光建模v1+DNN模型", "20260425", "29991231"
+    UNION ALL SELECT "0", "ef", "实验组：DNN模型-调参",            "20260410", "29991231"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型",                 "20260413", "20260507"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型-调参",                 "20260508", "29991231"
+    UNION ALL SELECT "0", "89", "对照组",                          "20260301", "20260507"
+    UNION ALL SELECT "0", "89", "实验组：DNN模型-调参",                          "20260508", "29991231"
+)
+,base_tab AS
+(
+    SELECT  sub.dt
+            ,sub.apptype
+            ,sg.suffix_group
+            ,COALESCE(m.abcode,"对照组") AS abcode
+            ,sub.vid
+            ,sub.mid
+            ,sub.is_share
+            ,sub.share_pv
+            ,sub.is_return_1
+            ,sub.return_n_uv
+            ,sub.return_n_uv_noself
+            ,sub.new_exposure_cnt
+            ,CASE   WHEN sub.page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页") THEN "推荐"
+                    WHEN sub.page IN ("回流页","其他") THEN "非推荐"
+                    ELSE "其他"
+            END AS page
+            ,sub.push_from_array
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,vid
+                        ,mid
+                        ,is_share
+                        ,COALESCE(share_cnt,0) AS share_pv
+                        ,is_return_1
+                        ,COALESCE(return_n_uv,0) AS return_n_uv
+                        ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+                        ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+                        ,SPLIT(
+                              REGEXP_REPLACE(GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList[*].pushFrom'),'(\\[|\\]|")','')
+                        ,',') AS push_from_array
+                        ,page
+                        ,SUBSTR(GET_JSON_OBJECT(extend,'$.rootsessionid'),LENGTH(GET_JSON_OBJECT(extend,'$.rootsessionid')),1) AS suffix
+                FROM    loghubods.dwd_recsys_alg_exposure_base_20250108
+                WHERE   dt = '${dt}'
+                AND     apptype IN ('0','4')
+                AND     recommendlogvo IS NOT NULL
+                AND     GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList') IS NOT NULL
+                AND     page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页")
+                -- canonical 过滤：apptype=4 用 ab0-9；apptype=0 排除 ab5/6/7
+                AND     abcode NOT IN ("ab100")
+                AND     (apptype = "4"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab8","ab9"))
+                AND     (apptype = "0"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab5","ab6","ab7","ab8","ab9"))
+            ) sub
+    -- INNER JOIN: 仅合法 hex 尾号（防御异常数据）
+    INNER JOIN t_suffix_group sg
+    ON      sub.suffix = sg.suffix
+    -- LEFT JOIN: 未命中实验 → "对照组"
+    LEFT JOIN t_experiment_map m
+    ON      sub.apptype = m.apptype
+    AND     sg.suffix_group = m.suffix_group
+    AND     '${dt}' BETWEEN m.start_dt AND m.end_dt
+)
+,push_from_map AS
+(
+    -- 召回源标识 → 中文名 / 一级类目 / 二级类目
+    -- 来源：~/Desktop/project/docs/召回策略梳理/recall_strategies_full.csv
+              SELECT 'recall_strategy_region_1h'      AS push_from, '省份实时热门'              AS strategy_name, '场' AS l1, '地域'    AS l2
+    UNION ALL SELECT 'recall_pool_region_h',           '区域小时热门',              '场', '地域'
+    UNION ALL SELECT 'recall_pool_region_24h',         '区域24小时热门',            '场', '地域'
+    UNION ALL SELECT 'recall_pool_24h',                '全局24小时兜底',            '场', '地域'
+    UNION ALL SELECT 'rov_recall_24h_dup',             '全局24小时兜底dup',         '场', '地域'
+    UNION ALL SELECT 'city_rovn',                      '城市热门',                  '场', '地域'
+    UNION ALL SELECT 'priori_province_ros',            '省份日热门-分享回流率',     '场', '地域'
+    UNION ALL SELECT 'priori_province_rovn',           '省份日热门-回流率',         '场', '地域'
+    UNION ALL SELECT 'priori_province_str',            '省份日热门-分享率',         '场', '地域'
+    UNION ALL SELECT 'recall_strategy_head_cate1',     '头部视频一级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2',     '头部视频二级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2_rov', '头部视频相似类目',          '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rovn',  '场景协同-回流率',           '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rosn',  '场景协同-分享回流率',       '场', '头部视频'
+    UNION ALL SELECT 'return_video_recall',            '老版相似视频(老版i2i)',     '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_user_cate1',     '用户一级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'recall_strategy_user_cate2',     '用户二级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'return_1_cate2_ros',             '回流类目ros',               '人', '回流'
+    UNION ALL SELECT 'return_1_cate2_str',             '回流类目rov',               '人', '回流'
+    UNION ALL SELECT 'flow_pool',                      '汤姆森冷启池',              '场', '流量池'
+    UNION ALL SELECT 'recall_strategy_hotspot',        '抖音热点池',                '场', '流量池'
+)
+,total_tab AS
+(
+    -- 每 (apptype, abcode, suffix_group, page) 大盘汇总，作为占比分母
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,page
+            ,COUNT(DISTINCT mid) AS total_exp_uv
+            ,COUNT(1) AS total_exp_pv
+            ,SUM(share_pv) AS total_share_pv
+            ,SUM(return_n_uv) AS total_return_n_uv
+            ,SUM(return_n_uv_noself) AS total_return_n_uv_noself
+            ,SUM(new_exposure_cnt) AS total_new_exposure_cnt
+            ,COUNT(DISTINCT vid) AS total_vid_cnt
+    FROM    base_tab
+    GROUP BY dt, apptype, abcode, suffix_group, page
+)
+,detail_table AS
+(
+    -- 每 (apptype, abcode, suffix_group, page, 召回源) 一行
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,page
+            ,single_push_from
+            ,COALESCE(exp_uv,0) AS exp_uv
+            ,COALESCE(exp_pv,0) AS exp_pv
+            ,COALESCE(share_pv,0) AS share_pv
+            ,COALESCE(return_n_uv,0) AS return_n_uv
+            ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+            ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+            ,COALESCE(vid_cnt,0) AS vid_cnt
+            ,ROUND(COALESCE(视频平均曝光次数,0),4) AS 视频平均曝光次数
+            ,ROUND(COALESCE(share_pv / exp_pv,0),4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv,0),4) AS vovh24
+            ,max_return_n_uv
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,page
+                        ,single_push_from
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                        ,COUNT(DISTINCT vid) AS vid_cnt
+                        ,COUNT(1) / COUNT(DISTINCT vid) AS 视频平均曝光次数
+                        ,MAX(CAST(return_n_uv AS BIGINT)) AS max_return_n_uv
+                FROM    (
+                            SELECT  dt
+                                    ,apptype
+                                    ,abcode
+                                    ,suffix_group
+                                    ,vid
+                                    ,mid
+                                    ,is_share
+                                    ,share_pv
+                                    ,is_return_1
+                                    ,return_n_uv
+                                    ,return_n_uv_noself
+                                    ,new_exposure_cnt
+                                    ,page
+                                    ,single_push_from
+                            FROM    base_tab
+                            LATERAL VIEW EXPLODE(push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, page, single_push_from
+            )
+)
+,vid_detail_table AS
+(
+    -- 每 (apptype, abcode, suffix_group, 召回源, vid) 一行 + 按 exp_pv 排名
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,page
+            ,single_push_from
+            ,vid
+            ,exp_uv
+            ,exp_pv
+            ,share_pv
+            ,return_n_uv
+            ,return_n_uv_noself
+            ,new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, page, single_push_from
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,page
+                        ,single_push_from
+                        ,vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    (
+                            SELECT  dt
+                                    ,apptype
+                                    ,abcode
+                                    ,suffix_group
+                                    ,vid
+                                    ,mid
+                                    ,share_pv
+                                    ,return_n_uv
+                                    ,return_n_uv_noself
+                                    ,new_exposure_cnt
+                                    ,page
+                                    ,single_push_from
+                            FROM    base_tab
+                            LATERAL VIEW EXPLODE(push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, page, single_push_from, vid
+            )
+)
+,vid_total_table AS
+(
+    -- 大盘层级（未经 EXPLODE）：每 (apptype, abcode, suffix_group, vid) 一行 + 按 exp_pv 排名
+    SELECT  dt
+            ,apptype
+            ,abcode
+            ,suffix_group
+            ,page
+            ,vid
+            ,exp_uv
+            ,exp_pv
+            ,share_pv
+            ,return_n_uv
+            ,return_n_uv_noself
+            ,new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, page
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,abcode
+                        ,suffix_group
+                        ,page
+                        ,vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    base_tab
+                GROUP BY dt, apptype, abcode, suffix_group, page, vid
+            )
+)
+-- ============ 总计 + 召回源汇总 + Top20 vid + 总计 Top20 vid 四层 UNION ============
+SELECT  row_order
+        ,日期
+        ,apptype
+        ,abcode
+        ,suffix_group
+        ,页面
+        ,召回源
+        ,召回策略名
+        ,一级类目
+        ,二级类目
+        ,vid_rank
+        ,vid
+        ,视频标题
+        ,视频上传时间
+        ,视频地址
+        ,首发日期
+        ,首发播放量
+        ,首发来源
+        ,首发渠道
+        ,str
+        ,rosn
+        ,rovn
+        ,rosn_noself
+        ,rovn_noself
+        ,vovh24
+        ,exp_uv
+        ,total_exp_uv
+        ,exp_uv_rate
+        ,exp_pv
+        ,total_exp_pv
+        ,exp_pv_rate
+        ,share_pv
+        ,total_share_pv
+        ,share_pv_rate
+        ,return_n_uv
+        ,total_return_n_uv
+        ,return_n_uv_rate
+        ,消耗比
+        ,return_n_uv_noself
+        ,total_return_n_uv_noself
+        ,return_n_uv_rate_noself
+        ,消耗比_noself
+        ,new_exposure_cnt
+        ,total_new_exposure_cnt
+        ,new_exposure_rate
+        ,vid_cnt
+        ,total_vid_cnt
+        ,vid_cnt_rate
+        ,人均曝光pv
+        ,人均分享pv
+        ,视频平均曝光次数
+        ,max_return_n_uv
+FROM    (
+    -- 召回源汇总：每 (apptype, abcode, suffix_group, 召回源) 一行（row_order=1）
+    SELECT  1 AS row_order
+            ,t1.dt AS 日期
+            ,t1.apptype AS apptype
+            ,t1.abcode AS abcode
+            ,t1.suffix_group AS suffix_group
+            ,t1.page AS 页面
+            ,t1.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, t1.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__汇总__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,t1.str
+            ,t1.rosn
+            ,t1.rovn
+            ,t1.rosn_noself
+            ,t1.rovn_noself
+            ,t1.vovh24
+            ,t1.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(t1.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,t1.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(t1.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,t1.share_pv
+            ,t2.total_share_pv
+            ,ROUND(t1.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,t1.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(t1.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv / t2.total_return_n_uv) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,t1.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(t1.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv_noself / t2.total_return_n_uv_noself) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,t1.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(t1.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,t1.vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(t1.vid_cnt / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(t1.exp_pv / t1.exp_uv,4) AS 人均曝光pv
+            ,ROUND(t1.share_pv / t1.exp_uv,4) AS 人均分享pv
+            ,t1.视频平均曝光次数
+            ,t1.max_return_n_uv
+    FROM    detail_table t1
+    JOIN    total_tab t2
+    ON      t1.dt = t2.dt
+    AND     t1.apptype = t2.apptype
+    AND     t1.abcode = t2.abcode
+    AND     t1.suffix_group = t2.suffix_group
+    AND     t1.page = t2.page
+    LEFT JOIN push_from_map m
+    ON      t1.single_push_from = m.push_from
+    WHERE   t1.page IN ("推荐")
+    AND     t1.exp_pv > 100
+
+    UNION ALL
+
+    -- 总计：每 (apptype, abcode, suffix_group) 一行（不分召回源，未经 EXPLODE 的真实大盘）row_order=0
+    SELECT  0 AS row_order
+            ,dt AS 日期
+            ,apptype AS apptype
+            ,abcode AS abcode
+            ,suffix_group AS suffix_group
+            ,page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__总计__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,ROUND(COALESCE(total_share_pv / total_exp_pv,0),4) AS str
+            ,ROUND(COALESCE(total_return_n_uv / total_share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(total_return_n_uv / total_exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(total_new_exposure_cnt / total_exp_pv,0),4) AS vovh24
+            ,total_exp_uv AS exp_uv
+            ,total_exp_uv AS total_exp_uv
+            ,1.0 AS exp_uv_rate
+            ,total_exp_pv AS exp_pv
+            ,total_exp_pv AS total_exp_pv
+            ,1.0 AS exp_pv_rate
+            ,total_share_pv AS share_pv
+            ,total_share_pv AS total_share_pv
+            ,1.0 AS share_pv_rate
+            ,total_return_n_uv AS return_n_uv
+            ,total_return_n_uv AS total_return_n_uv
+            ,1.0 AS return_n_uv_rate
+            ,0.0 AS 消耗比                                    -- 总计自身 = 平均，恒为 0
+            ,total_return_n_uv_noself AS return_n_uv_noself
+            ,total_return_n_uv_noself AS total_return_n_uv_noself
+            ,1.0 AS return_n_uv_rate_noself
+            ,0.0 AS 消耗比_noself
+            ,total_new_exposure_cnt AS new_exposure_cnt
+            ,total_new_exposure_cnt AS total_new_exposure_cnt
+            ,1.0 AS new_exposure_rate
+            ,total_vid_cnt AS vid_cnt
+            ,total_vid_cnt AS total_vid_cnt
+            ,1.0 AS vid_cnt_rate
+            ,ROUND(COALESCE(total_exp_pv / total_exp_uv,0),4) AS 人均曝光pv
+            ,ROUND(COALESCE(total_share_pv / total_exp_uv,0),4) AS 人均分享pv
+            ,ROUND(COALESCE(total_exp_pv / total_vid_cnt,0),4) AS 视频平均曝光次数
+            ,CAST(NULL AS BIGINT) AS max_return_n_uv
+    FROM    total_tab
+    WHERE   page IN ("推荐")
+
+    UNION ALL
+
+    -- vid 明细：每 (apptype, abcode, suffix_group, 召回源) top20 视频（按 exp_pv 降序）row_order=2
+    SELECT  2 AS row_order
+            ,v.dt AS 日期
+            ,v.apptype AS apptype
+            ,v.abcode AS abcode
+            ,v.suffix_group AS suffix_group
+            ,v.page AS 页面
+            ,v.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, v.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,v.vid_rank
+            ,CAST(v.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,v.str
+            ,v.rosn
+            ,v.rovn
+            ,v.rosn_noself
+            ,v.rovn_noself
+            ,v.vovh24
+            ,v.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(v.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,v.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(v.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,v.share_pv
+            ,t2.total_share_pv
+            ,ROUND(v.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,v.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(v.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv / t2.total_return_n_uv) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,v.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(v.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv_noself / t2.total_return_n_uv_noself) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,v.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(v.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(v.exp_pv / v.exp_uv,4) AS 人均曝光pv
+            ,ROUND(v.share_pv / v.exp_uv,4) AS 人均分享pv
+            ,CAST(v.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(v.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_detail_table v
+    JOIN    total_tab t2
+    ON      v.dt = t2.dt
+    AND     v.apptype = t2.apptype
+    AND     v.abcode = t2.abcode
+    AND     v.suffix_group = t2.suffix_group
+    AND     v.page = t2.page
+    LEFT JOIN push_from_map m
+    ON      v.single_push_from = m.push_from
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      v.dt = vd.dt AND CAST(v.vid AS BIGINT) = vd.视频id
+    WHERE   v.page IN ("推荐")
+    AND     v.vid_rank <= 20
+
+    UNION ALL
+
+    -- 总计 vid 明细：每 (apptype, abcode, suffix_group) 大盘 top20 视频（不分召回源）row_order=2, 召回源='__总计__'
+    SELECT  2 AS row_order
+            ,vt.dt AS 日期
+            ,vt.apptype AS apptype
+            ,vt.abcode AS abcode
+            ,vt.suffix_group AS suffix_group
+            ,vt.page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,vt.vid_rank
+            ,CAST(vt.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,vt.str
+            ,vt.rosn
+            ,vt.rovn
+            ,vt.rosn_noself
+            ,vt.rovn_noself
+            ,vt.vovh24
+            ,vt.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(vt.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,vt.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(vt.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,vt.share_pv
+            ,t2.total_share_pv
+            ,ROUND(vt.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,vt.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(vt.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv / t2.total_return_n_uv) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,vt.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(vt.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv_noself / t2.total_return_n_uv_noself) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,vt.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(vt.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(vt.exp_pv / vt.exp_uv,4) AS 人均曝光pv
+            ,ROUND(vt.share_pv / vt.exp_uv,4) AS 人均分享pv
+            ,CAST(vt.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(vt.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_total_table vt
+    JOIN    total_tab t2
+    ON      vt.dt = t2.dt
+    AND     vt.apptype = t2.apptype
+    AND     vt.abcode = t2.abcode
+    AND     vt.suffix_group = t2.suffix_group
+    AND     vt.page = t2.page
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      vt.dt = vd.dt AND CAST(vt.vid AS BIGINT) = vd.视频id
+    WHERE   vt.page IN ("推荐")
+    AND     vt.vid_rank <= 20
+) u
+WHERE   exp_pv >= 100
+;

tasks/召回策略效果/base_baseline_named_top20vid_按桶_独占.json

@@ -0,0 +1,10 @@
+{
+  "token": "ONZqsxB9BhGH8tt90EScSJT5nHh",
+  "sheet_id": "2SVIg7",
+  "sort": "日期:desc,apptype:asc,exp_pv_rate:desc,source_type:asc,layer_type:asc",
+  "order": {
+    "apptype": ["0", "4"]
+  },
+  "cols": null,
+  "append_cols": true
+}

tasks/召回策略效果/base_baseline_named_top20vid_按桶_独占.sql

@@ -0,0 +1,674 @@
+-- 全量基线 · 召回策略独占性分析（实验分层版 · n_bucket=全部/独有）
+-- 基于 base_baseline_named_top20vid_按桶.sql + 引入"召回源命中数"维度
+--
+-- 背景：一个视频通常被多路召回同时命中（pushFromIndexList 是集合）
+--   - 当前 SQL 用 LATERAL VIEW EXPLODE 炸开后，同一曝光被多路重复计入 exp_pv
+--   - 这会让"高度重叠的召回源"（如 recall_pool_region_h ↔ recall_strategy_region_1h）
+--     在被剔除的实验组里看似仍有大量曝光（实为其他保留路重复打标）
+--
+-- 解决：加 n_bucket 维度，让每个召回源/视频/总计出两行：
+--   - n_bucket='全部'：与原 SQL 口径一致（所有命中过即算）
+--   - n_bucket='独有'：仅 SIZE(push_from_array)=1 的曝光（这路是唯一命中源）
+--
+-- 关键设计：
+--   1. base_tab 增加 n_recall = SIZE(push_from_array) 字段
+--   2. EXPLODE(IF(n_recall=1, ARRAY('全部','独有'), ARRAY('全部'))) 让独有曝光出两行
+--   3. 占比分母统一用「全部口径」total_tab：独有行 exp_pv_rate = 该路剔除曝光损失上限
+--   4. vid_rank 按 (n_bucket, single_push_from) 独立 top20
+--
+-- 用法解读：
+--   - n_bucket='全部' + 独有的实验组明显下降 → 真剔除有效（如 recall_pool_24h）
+--   - n_bucket='全部' 残留高但 n_bucket='独有' 接近 0 → "假残留"（如 recall_pool_region_h）
+--   - n_bucket='独有' 占比 = 该路真正独占价值（剔了一定丢）
+--
+-- 跑批：python fetch_daily.py tasks/召回策略效果/base_baseline_named_top20vid_按桶_独占.sql --days 30
+
+WITH t_suffix_group AS
+(
+    SELECT "a" AS suffix, "ab" AS suffix_group
+    UNION ALL SELECT "b", "ab"
+    UNION ALL SELECT "0", "01"
+    UNION ALL SELECT "1", "01"
+    UNION ALL SELECT "2", "2c"
+    UNION ALL SELECT "c", "2c"
+    UNION ALL SELECT "3", "34"
+    UNION ALL SELECT "4", "34"
+    UNION ALL SELECT "5", "5d"
+    UNION ALL SELECT "d", "5d"
+    UNION ALL SELECT "6", "67"
+    UNION ALL SELECT "7", "67"
+    UNION ALL SELECT "8", "89"
+    UNION ALL SELECT "9", "89"
+    UNION ALL SELECT "e", "ef"
+    UNION ALL SELECT "f", "ef"
+)
+,t_experiment_map AS
+(
+    -- ── apptype = 4 ──────────────────────────────────────────────────
+    SELECT "4" AS apptype, "ab" AS suffix_group, "实验组：变更str*ros建模目标实验 有问题" AS abcode, "20260413" AS start_dt, "20260415" AS end_dt
+    UNION ALL SELECT "4", "ab", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "ab", "实验组：排序对高质召回提权实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "5d", "实验组：解构特征排序str模型",     "20260314", "20260406"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "5d", "实验组：DNN模型-调参",     "20260508", "29991231"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "34", "实验组：召回剔除低质召回实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：bn_ros新损失函数",        "20260311", "20260319"
+    UNION ALL SELECT "4", "ef", "实验组：解构特征排序str模型&召回", "20260314", "20260320"
+    UNION ALL SELECT "4", "ef", "实验组：DNN模型",                 "20260407", "29991231"
+    UNION ALL SELECT "4", "2c", "实验组：DNN模型-调参",            "20260413", "29991231"
+    UNION ALL SELECT "4", "89", "对照组",                          "20260301", "299991231"
+
+    -- ── apptype = 0 ──────────────────────────────────────────────────
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验 有问题", "20260413", "20260415"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验", "20260417", "20260429"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "0", "01", "对照组", "20260508", "29991231"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "34", "实验组：曝光建模v1+变更str*ros建模目标实验", "20260425", "20260425"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260426", "20260429"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "67", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260417", "29991231"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "5d", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "5d", "实验组：曝光建模v1+DNN模型", "20260425", "29991231"
+    UNION ALL SELECT "0", "ef", "实验组：DNN模型-调参",            "20260410", "29991231"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型",                 "20260413", "20260507"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型-调参",                 "20260508", "29991231"
+    UNION ALL SELECT "0", "89", "对照组",                          "20260301", "20260507"
+    UNION ALL SELECT "0", "89", "实验组：DNN模型-调参",                          "20260508", "29991231"
+)
+,base_tab AS
+(
+    SELECT  sub.dt
+            ,sub.apptype
+            ,sg.suffix_group
+            ,COALESCE(m.abcode,"对照组") AS abcode
+            ,sub.vid
+            ,sub.mid
+            ,sub.is_share
+            ,sub.share_pv
+            ,sub.is_return_1
+            ,sub.return_n_uv
+            ,sub.return_n_uv_noself
+            ,sub.new_exposure_cnt
+            ,CASE   WHEN sub.page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页") THEN "推荐"
+                    WHEN sub.page IN ("回流页","其他") THEN "非推荐"
+                    ELSE "其他"
+            END AS page
+            ,sub.push_from_array
+            ,SIZE(sub.push_from_array) AS n_recall   -- ★ 新增：召回源命中数
+    FROM    (
+                SELECT  dt
+                        ,apptype
+                        ,vid
+                        ,mid
+                        ,is_share
+                        ,COALESCE(share_cnt,0) AS share_pv
+                        ,is_return_1
+                        ,COALESCE(return_n_uv,0) AS return_n_uv
+                        ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+                        ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+                        ,SPLIT(
+                              REGEXP_REPLACE(GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList[*].pushFrom'),'(\\[|\\]|")','')
+                        ,',') AS push_from_array
+                        ,page
+                        ,SUBSTR(GET_JSON_OBJECT(extend,'$.rootsessionid'),LENGTH(GET_JSON_OBJECT(extend,'$.rootsessionid')),1) AS suffix
+                FROM    loghubods.dwd_recsys_alg_exposure_base_20250108
+                WHERE   dt = '${dt}'
+                AND     apptype IN ('0','4')
+                AND     recommendlogvo IS NOT NULL
+                AND     GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList') IS NOT NULL
+                AND     page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页")
+                AND     abcode NOT IN ("ab100")
+                AND     (apptype = "4"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab8","ab9"))
+                AND     (apptype = "0"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab5","ab6","ab7","ab8","ab9"))
+            ) sub
+    INNER JOIN t_suffix_group sg
+    ON      sub.suffix = sg.suffix
+    LEFT JOIN t_experiment_map m
+    ON      sub.apptype = m.apptype
+    AND     sg.suffix_group = m.suffix_group
+    AND     '${dt}' BETWEEN m.start_dt AND m.end_dt
+)
+,push_from_map AS
+(
+              SELECT 'recall_strategy_region_1h'      AS push_from, '省份实时热门'              AS strategy_name, '场' AS l1, '地域'    AS l2
+    UNION ALL SELECT 'recall_pool_region_h',           '区域小时热门',              '场', '地域'
+    UNION ALL SELECT 'recall_pool_region_24h',         '区域24小时热门',            '场', '地域'
+    UNION ALL SELECT 'recall_pool_24h',                '全局24小时兜底',            '场', '地域'
+    UNION ALL SELECT 'rov_recall_24h_dup',             '全局24小时兜底dup',         '场', '地域'
+    UNION ALL SELECT 'city_rovn',                      '城市热门',                  '场', '地域'
+    UNION ALL SELECT 'priori_province_ros',            '省份日热门-分享回流率',     '场', '地域'
+    UNION ALL SELECT 'priori_province_rovn',           '省份日热门-回流率',         '场', '地域'
+    UNION ALL SELECT 'priori_province_str',            '省份日热门-分享率',         '场', '地域'
+    UNION ALL SELECT 'recall_strategy_head_cate1',     '头部视频一级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2',     '头部视频二级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2_rov', '头部视频相似类目',          '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rovn',  '场景协同-回流率',           '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rosn',  '场景协同-分享回流率',       '场', '头部视频'
+    UNION ALL SELECT 'return_video_recall',            '老版相似视频(老版i2i)',     '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_user_cate1',     '用户一级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'recall_strategy_user_cate2',     '用户二级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'return_1_cate2_ros',             '回流类目ros',               '人', '回流'
+    UNION ALL SELECT 'return_1_cate2_str',             '回流类目rov',               '人', '回流'
+    UNION ALL SELECT 'flow_pool',                      '汤姆森冷启池',              '场', '流量池'
+    UNION ALL SELECT 'recall_strategy_hotspot',        '抖音热点池',                '场', '流量池'
+)
+-- ★ 关键 CTE：用 EXPLODE n_bucket 让独有曝光出两行(全部+独有)，共有曝光出一行(全部)
+,base_with_bucket AS
+(
+    SELECT  b.dt, b.apptype, b.abcode, b.suffix_group, b.page,
+            b.vid, b.mid,
+            b.share_pv, b.return_n_uv, b.return_n_uv_noself, b.new_exposure_cnt,
+            b.push_from_array, b.n_recall,
+            nb.n_bucket
+    FROM    base_tab b
+    LATERAL VIEW EXPLODE(
+        IF(b.n_recall = 1, ARRAY('全部','独有'), ARRAY('全部'))
+    ) nb AS n_bucket
+)
+,total_tab AS
+(
+    -- 大盘汇总：分 n_bucket 出两个总计（全部 / 独有）
+    -- 注意：所有占比分母统一用同一 (apptype, abcode, suffix_group, page, n_bucket) 桶内 total
+    --       便于独有桶自洽对比；要算"独有占大盘比例"在 SELECT 阶段单独取全部总计即可
+    SELECT  dt, apptype, abcode, suffix_group, page, n_bucket
+            ,COUNT(DISTINCT mid) AS total_exp_uv
+            ,COUNT(1) AS total_exp_pv
+            ,SUM(share_pv) AS total_share_pv
+            ,SUM(return_n_uv) AS total_return_n_uv
+            ,SUM(return_n_uv_noself) AS total_return_n_uv_noself
+            ,SUM(new_exposure_cnt) AS total_new_exposure_cnt
+            ,COUNT(DISTINCT vid) AS total_vid_cnt
+    FROM    base_with_bucket
+    GROUP BY dt, apptype, abcode, suffix_group, page, n_bucket
+)
+,total_all_tab AS
+(
+    -- 仅"全部"口径的大盘 total，供独有行计算"占大盘 exp_pv 比例"
+    SELECT dt, apptype, abcode, suffix_group, page,
+           total_exp_pv AS total_exp_pv_all
+    FROM   total_tab
+    WHERE  n_bucket = '全部'
+)
+,detail_table AS
+(
+    -- 每 (apptype, abcode, suffix_group, page, 召回源, n_bucket) 一行
+    SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+            ,COALESCE(exp_uv,0) AS exp_uv
+            ,COALESCE(exp_pv,0) AS exp_pv
+            ,COALESCE(share_pv,0) AS share_pv
+            ,COALESCE(return_n_uv,0) AS return_n_uv
+            ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+            ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+            ,COALESCE(vid_cnt,0) AS vid_cnt
+            ,ROUND(COALESCE(视频平均曝光次数,0),4) AS 视频平均曝光次数
+            ,ROUND(COALESCE(share_pv / exp_pv,0),4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv,0),4) AS vovh24
+            ,max_return_n_uv
+    FROM    (
+                SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                        ,COUNT(DISTINCT vid) AS vid_cnt
+                        ,COUNT(1) / COUNT(DISTINCT vid) AS 视频平均曝光次数
+                        ,MAX(CAST(return_n_uv AS BIGINT)) AS max_return_n_uv
+                FROM    (
+                            SELECT  b.dt, b.apptype, b.abcode, b.suffix_group, b.page,
+                                    b.vid, b.mid,
+                                    b.share_pv, b.return_n_uv, b.return_n_uv_noself, b.new_exposure_cnt,
+                                    b.n_bucket,
+                                    t.single_push_from
+                            FROM    base_with_bucket b
+                            LATERAL VIEW EXPLODE(b.push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+            )
+)
+,vid_detail_table AS
+(
+    SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket, vid
+            ,exp_uv, exp_pv, share_pv, return_n_uv, return_n_uv_noself, new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket, vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    (
+                            SELECT  b.dt, b.apptype, b.abcode, b.suffix_group, b.page,
+                                    b.vid, b.mid, b.share_pv, b.return_n_uv,
+                                    b.return_n_uv_noself, b.new_exposure_cnt,
+                                    b.n_bucket,
+                                    t.single_push_from
+                            FROM    base_with_bucket b
+                            LATERAL VIEW EXPLODE(b.push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket, vid
+            )
+)
+,vid_total_table AS
+(
+    -- 大盘 vid（不分召回源）：分 n_bucket top20
+    SELECT  dt, apptype, abcode, suffix_group, page, n_bucket, vid
+            ,exp_uv, exp_pv, share_pv, return_n_uv, return_n_uv_noself, new_exposure_cnt
+            ,ROUND(COALESCE(share_pv / exp_pv, 0), 4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv, 0), 4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv, 0), 4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv, 0), 4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv, 0), 4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv, 0), 4) AS vovh24
+            ,ROW_NUMBER() OVER (
+                PARTITION BY dt, apptype, abcode, suffix_group, page, n_bucket
+                ORDER BY exp_pv DESC
+             ) AS vid_rank
+    FROM    (
+                SELECT  dt, apptype, abcode, suffix_group, page, n_bucket, vid
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                FROM    base_with_bucket
+                GROUP BY dt, apptype, abcode, suffix_group, page, n_bucket, vid
+            )
+)
+-- ============ 总计 + 召回源汇总 + Top20 vid + 总计 Top20 vid 四层 UNION ============
+SELECT  row_order
+        ,日期
+        ,apptype
+        ,abcode
+        ,suffix_group
+        ,n_bucket                     -- ★ 新增维度列
+        ,页面
+        ,召回源
+        ,召回策略名
+        ,一级类目
+        ,二级类目
+        ,vid_rank
+        ,vid
+        ,视频标题
+        ,视频上传时间
+        ,视频地址
+        ,首发日期
+        ,首发播放量
+        ,首发来源
+        ,首发渠道
+        ,str
+        ,rosn
+        ,rovn
+        ,rosn_noself
+        ,rovn_noself
+        ,vovh24
+        ,exp_uv
+        ,total_exp_uv
+        ,exp_uv_rate
+        ,exp_pv
+        ,total_exp_pv
+        ,exp_pv_rate
+        ,exp_pv_rate_全大盘            -- ★ 新增：占"全部"大盘的比例（独有行用此判断真实剔除损失）
+        ,share_pv
+        ,total_share_pv
+        ,share_pv_rate
+        ,return_n_uv
+        ,total_return_n_uv
+        ,return_n_uv_rate
+        ,消耗比
+        ,return_n_uv_noself
+        ,total_return_n_uv_noself
+        ,return_n_uv_rate_noself
+        ,消耗比_noself
+        ,new_exposure_cnt
+        ,total_new_exposure_cnt
+        ,new_exposure_rate
+        ,vid_cnt
+        ,total_vid_cnt
+        ,vid_cnt_rate
+        ,人均曝光pv
+        ,人均分享pv
+        ,视频平均曝光次数
+        ,max_return_n_uv
+FROM    (
+    -- 召回源汇总：每 (apptype, abcode, suffix_group, 召回源, n_bucket) 一行（row_order=1）
+    SELECT  1 AS row_order
+            ,t1.dt AS 日期
+            ,t1.apptype AS apptype
+            ,t1.abcode AS abcode
+            ,t1.suffix_group AS suffix_group
+            ,t1.n_bucket AS n_bucket
+            ,t1.page AS 页面
+            ,t1.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, t1.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__汇总__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,t1.str, t1.rosn, t1.rovn, t1.rosn_noself, t1.rovn_noself, t1.vovh24
+            ,t1.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(t1.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,t1.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(t1.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,ROUND(t1.exp_pv / ta.total_exp_pv_all,4) AS exp_pv_rate_全大盘
+            ,t1.share_pv
+            ,t2.total_share_pv
+            ,ROUND(t1.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,t1.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(t1.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv / t2.total_return_n_uv) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,t1.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(t1.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv_noself / t2.total_return_n_uv_noself) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,t1.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(t1.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,t1.vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(t1.vid_cnt / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(t1.exp_pv / t1.exp_uv,4) AS 人均曝光pv
+            ,ROUND(t1.share_pv / t1.exp_uv,4) AS 人均分享pv
+            ,t1.视频平均曝光次数
+            ,t1.max_return_n_uv
+    FROM    detail_table t1
+    JOIN    total_tab t2
+    ON      t1.dt = t2.dt
+    AND     t1.apptype = t2.apptype
+    AND     t1.abcode = t2.abcode
+    AND     t1.suffix_group = t2.suffix_group
+    AND     t1.page = t2.page
+    AND     t1.n_bucket = t2.n_bucket
+    LEFT JOIN total_all_tab ta
+    ON      t1.dt = ta.dt
+    AND     t1.apptype = ta.apptype
+    AND     t1.abcode = ta.abcode
+    AND     t1.suffix_group = ta.suffix_group
+    AND     t1.page = ta.page
+    LEFT JOIN push_from_map m
+    ON      t1.single_push_from = m.push_from
+    WHERE   t1.page IN ("推荐")
+    AND     t1.exp_pv > 100
+
+    UNION ALL
+
+    -- 总计：每 (apptype, abcode, suffix_group, n_bucket) 一行（row_order=0）
+    SELECT  0 AS row_order
+            ,tt.dt AS 日期
+            ,tt.apptype, tt.abcode, tt.suffix_group
+            ,tt.n_bucket
+            ,tt.page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,CAST(NULL AS BIGINT) AS vid_rank
+            ,'__总计__' AS vid
+            ,CAST(NULL AS STRING) AS 视频标题
+            ,CAST(NULL AS STRING) AS 视频上传时间
+            ,CAST(NULL AS STRING) AS 视频地址
+            ,CAST(NULL AS STRING) AS 首发日期
+            ,CAST(NULL AS BIGINT) AS 首发播放量
+            ,CAST(NULL AS STRING) AS 首发来源
+            ,CAST(NULL AS STRING) AS 首发渠道
+            ,ROUND(COALESCE(total_share_pv / total_exp_pv,0),4) AS str
+            ,ROUND(COALESCE(total_return_n_uv / total_share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(total_return_n_uv / total_exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(total_new_exposure_cnt / total_exp_pv,0),4) AS vovh24
+            ,total_exp_uv AS exp_uv
+            ,total_exp_uv AS total_exp_uv
+            ,1.0 AS exp_uv_rate
+            ,total_exp_pv AS exp_pv
+            ,total_exp_pv AS total_exp_pv
+            ,1.0 AS exp_pv_rate
+            ,ROUND(total_exp_pv / total_exp_pv_all, 4) AS exp_pv_rate_全大盘   -- 独有总计在全大盘的占比
+            ,total_share_pv AS share_pv
+            ,total_share_pv AS total_share_pv
+            ,1.0 AS share_pv_rate
+            ,total_return_n_uv AS return_n_uv
+            ,total_return_n_uv AS total_return_n_uv
+            ,1.0 AS return_n_uv_rate
+            ,0.0 AS 消耗比
+            ,total_return_n_uv_noself AS return_n_uv_noself
+            ,total_return_n_uv_noself AS total_return_n_uv_noself
+            ,1.0 AS return_n_uv_rate_noself
+            ,0.0 AS 消耗比_noself
+            ,total_new_exposure_cnt AS new_exposure_cnt
+            ,total_new_exposure_cnt AS total_new_exposure_cnt
+            ,1.0 AS new_exposure_rate
+            ,total_vid_cnt AS vid_cnt
+            ,total_vid_cnt AS total_vid_cnt
+            ,1.0 AS vid_cnt_rate
+            ,ROUND(COALESCE(total_exp_pv / total_exp_uv,0),4) AS 人均曝光pv
+            ,ROUND(COALESCE(total_share_pv / total_exp_uv,0),4) AS 人均分享pv
+            ,ROUND(COALESCE(total_exp_pv / total_vid_cnt,0),4) AS 视频平均曝光次数
+            ,CAST(NULL AS BIGINT) AS max_return_n_uv
+    FROM    total_tab tt
+    LEFT JOIN total_all_tab ta
+    ON      tt.dt = ta.dt
+    AND     tt.apptype = ta.apptype
+    AND     tt.abcode = ta.abcode
+    AND     tt.suffix_group = ta.suffix_group
+    AND     tt.page = ta.page
+    WHERE   tt.page IN ("推荐")
+
+    UNION ALL
+
+    -- vid 明细：每 (apptype, abcode, suffix_group, 召回源, n_bucket) top20 视频 row_order=2
+    SELECT  2 AS row_order
+            ,v.dt AS 日期
+            ,v.apptype, v.abcode, v.suffix_group
+            ,v.n_bucket
+            ,v.page AS 页面
+            ,v.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, v.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,v.vid_rank
+            ,CAST(v.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,v.str, v.rosn, v.rovn, v.rosn_noself, v.rovn_noself, v.vovh24
+            ,v.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(v.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,v.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(v.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,ROUND(v.exp_pv / ta.total_exp_pv_all,4) AS exp_pv_rate_全大盘
+            ,v.share_pv
+            ,t2.total_share_pv
+            ,ROUND(v.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,v.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(v.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv / t2.total_return_n_uv) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,v.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(v.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(v.exp_pv / t2.total_exp_pv > 0
+                      ,(v.return_n_uv_noself / t2.total_return_n_uv_noself) / (v.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,v.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(v.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(v.exp_pv / v.exp_uv,4) AS 人均曝光pv
+            ,ROUND(v.share_pv / v.exp_uv,4) AS 人均分享pv
+            ,CAST(v.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(v.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_detail_table v
+    JOIN    total_tab t2
+    ON      v.dt = t2.dt
+    AND     v.apptype = t2.apptype
+    AND     v.abcode = t2.abcode
+    AND     v.suffix_group = t2.suffix_group
+    AND     v.page = t2.page
+    AND     v.n_bucket = t2.n_bucket
+    LEFT JOIN total_all_tab ta
+    ON      v.dt = ta.dt
+    AND     v.apptype = ta.apptype
+    AND     v.abcode = ta.abcode
+    AND     v.suffix_group = ta.suffix_group
+    AND     v.page = ta.page
+    LEFT JOIN push_from_map m
+    ON      v.single_push_from = m.push_from
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      v.dt = vd.dt AND CAST(v.vid AS BIGINT) = vd.视频id
+    WHERE   v.page IN ("推荐")
+    AND     v.vid_rank <= 20
+
+    UNION ALL
+
+    -- 总计 vid 明细：每 (apptype, abcode, suffix_group, n_bucket) 大盘 top20 视频 row_order=2
+    SELECT  2 AS row_order
+            ,vt.dt AS 日期
+            ,vt.apptype, vt.abcode, vt.suffix_group
+            ,vt.n_bucket
+            ,vt.page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,vt.vid_rank
+            ,CAST(vt.vid AS STRING) AS vid
+            ,vd.标题 AS 视频标题
+            ,CAST(vd.上传时间 AS STRING) AS 视频上传时间
+            ,vd.视频地址 AS 视频地址
+            ,CAST(vd.首发日期 AS STRING) AS 首发日期
+            ,vd.首发播放量 AS 首发播放量
+            ,vd.首发来源 AS 首发来源
+            ,vd.首发渠道 AS 首发渠道
+            ,vt.str, vt.rosn, vt.rovn, vt.rosn_noself, vt.rovn_noself, vt.vovh24
+            ,vt.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(vt.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,vt.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(vt.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,ROUND(vt.exp_pv / ta.total_exp_pv_all,4) AS exp_pv_rate_全大盘
+            ,vt.share_pv
+            ,t2.total_share_pv
+            ,ROUND(vt.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,vt.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(vt.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv / t2.total_return_n_uv) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,vt.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(vt.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(vt.exp_pv / t2.total_exp_pv > 0
+                      ,(vt.return_n_uv_noself / t2.total_return_n_uv_noself) / (vt.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,vt.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(vt.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,1 AS vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(1.0 / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(vt.exp_pv / vt.exp_uv,4) AS 人均曝光pv
+            ,ROUND(vt.share_pv / vt.exp_uv,4) AS 人均分享pv
+            ,CAST(vt.exp_pv AS DOUBLE) AS 视频平均曝光次数
+            ,CAST(vt.return_n_uv AS BIGINT) AS max_return_n_uv
+    FROM    vid_total_table vt
+    JOIN    total_tab t2
+    ON      vt.dt = t2.dt
+    AND     vt.apptype = t2.apptype
+    AND     vt.abcode = t2.abcode
+    AND     vt.suffix_group = t2.suffix_group
+    AND     vt.page = t2.page
+    AND     vt.n_bucket = t2.n_bucket
+    LEFT JOIN total_all_tab ta
+    ON      vt.dt = ta.dt
+    AND     vt.apptype = ta.apptype
+    AND     vt.abcode = ta.abcode
+    AND     vt.suffix_group = ta.suffix_group
+    AND     vt.page = ta.page
+    LEFT JOIN (
+        SELECT  dt, 视频id, 标题, 上传时间, 视频地址,
+                首发日期, 首发播放量, 首发来源, 首发渠道
+        FROM    loghubods.video_dimension_detail_add_column
+        WHERE   dt = '${dt}'
+    ) vd
+    ON      vt.dt = vd.dt AND CAST(vt.vid AS BIGINT) = vd.视频id
+    WHERE   vt.page IN ("推荐")
+    AND     vt.vid_rank <= 20
+) u
+WHERE   exp_pv >= 100
+;

tasks/召回策略效果/base_baseline_named_按桶_独占.json

@@ -0,0 +1,35 @@
+{
+  "token": "ONZqsxB9BhGH8tt90EScSJT5nHh",
+  "sheet_id": "ypoL8S",
+  "sort": "日期:desc,apptype:asc,n_bucket:asc,召回源:asc,suffix_group:asc",
+  "order": {
+    "apptype": ["0", "4"],
+    "n_bucket": ["全部", "独有"],
+    "召回源": [
+      "__总计__",
+      "recall_strategy_region_1h",
+      "recall_pool_region_h",
+      "city_rovn",
+      "recall_strategy_head_cate2_rov",
+      "recall_strategy_head_cate1",
+      "flow_pool",
+      "recall_strategy_scene_cf_rovn",
+      "recall_strategy_user_cate1",
+      "return_video_recall",
+      "return_1_cate2_ros",
+      "recall_strategy_user_cate2",
+      "recall_strategy_head_cate2",
+      "recall_strategy_scene_cf_rosn",
+      "return_1_cate2_str",
+      "recall_pool_region_24h",
+      "recall_pool_24h",
+      "priori_province_ros",
+      "priori_province_rovn",
+      "rov_recall_24h_dup",
+      "priori_province_str",
+      "recall_strategy_hotspot"
+    ]
+  },
+  "cols": null,
+  "append_cols": true
+}

tasks/召回策略效果/base_baseline_named_按桶_独占.sql

@@ -0,0 +1,397 @@
+-- 全量基线 · 召回策略独占性分析（精简版 · 无 vid 下钻）
+-- 基于 base_baseline_named_top20vid_按桶_独占.sql 删除 vid 明细 + 视频元信息
+--
+-- 输出层级（row_order）：
+--   0 = (apptype, abcode, suffix_group, n_bucket) 总计
+--   1 = (apptype, abcode, suffix_group, n_bucket) × 召回源 汇总
+--
+-- n_bucket：
+--   '全部' = 与原 SQL 口径一致（pushFromIndexList 命中过即算）
+--   '独有' = 仅 SIZE(push_from_array)=1 的曝光（这路是该曝光的唯一召回源）
+--
+-- 占比分母：
+--   exp_pv_rate          = 桶内 (n_bucket 自洽) 占比
+--   exp_pv_rate_全大盘   = 占"全部"口径大盘比例，独有行直接看此列 = 真实剔除损失上限
+--
+-- 跑批：python fetch_daily.py tasks/召回策略效果/base_baseline_named_按桶_独占.sql --days 30
+
+WITH t_suffix_group AS
+(
+    SELECT "a" AS suffix, "ab" AS suffix_group
+    UNION ALL SELECT "b", "ab"
+    UNION ALL SELECT "0", "01"
+    UNION ALL SELECT "1", "01"
+    UNION ALL SELECT "2", "2c"
+    UNION ALL SELECT "c", "2c"
+    UNION ALL SELECT "3", "34"
+    UNION ALL SELECT "4", "34"
+    UNION ALL SELECT "5", "5d"
+    UNION ALL SELECT "d", "5d"
+    UNION ALL SELECT "6", "67"
+    UNION ALL SELECT "7", "67"
+    UNION ALL SELECT "8", "89"
+    UNION ALL SELECT "9", "89"
+    UNION ALL SELECT "e", "ef"
+    UNION ALL SELECT "f", "ef"
+)
+,t_experiment_map AS
+(
+    -- ── apptype = 4 ──────────────────────────────────────────────────
+    SELECT "4" AS apptype, "ab" AS suffix_group, "实验组：变更str*ros建模目标实验 有问题" AS abcode, "20260413" AS start_dt, "20260415" AS end_dt
+    UNION ALL SELECT "4", "ab", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "ab", "实验组：排序对高质召回提权实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "01", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "67", "实验组：变更str*ros建模目标实验", "20260416", "29991231"
+    UNION ALL SELECT "4", "5d", "实验组：解构特征排序str模型",     "20260314", "20260406"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "5d", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "5d", "实验组：DNN模型-调参",     "20260508", "29991231"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "4", "34", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "4", "34", "实验组：召回剔除低质召回实验", "20260508", "29991231"
+    UNION ALL SELECT "4", "67", "实验组：bn_ros新损失函数",        "20260311", "20260319"
+    UNION ALL SELECT "4", "ef", "实验组：解构特征排序str模型&召回", "20260314", "20260320"
+    UNION ALL SELECT "4", "ef", "实验组：DNN模型",                 "20260407", "29991231"
+    UNION ALL SELECT "4", "2c", "实验组：DNN模型-调参",            "20260413", "29991231"
+    UNION ALL SELECT "4", "89", "对照组",                          "20260301", "299991231"
+
+    -- ── apptype = 0 ──────────────────────────────────────────────────
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验 有问题", "20260413", "20260415"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "ab", "实验组：变更str*ros建模目标实验", "20260417", "20260429"
+    UNION ALL SELECT "0", "ab", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260320", "20260410"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "01", "实验组：变更str*ros建模目标实验", "20260416", "20260507"
+    UNION ALL SELECT "0", "01", "对照组", "20260508", "29991231"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "34", "实验组：曝光建模v1+变更str*ros建模目标实验", "20260425", "20260425"
+    UNION ALL SELECT "0", "34", "实验组：变更str*ros建模目标实验", "20260426", "20260429"
+    UNION ALL SELECT "0", "34", "实验组：DNN模型-调参", "20260430", "29991231"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260330", "20260410"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "67", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "67", "实验组：变更str*ros建模目标实验", "20260417", "29991231"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260407", "20260410"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验 有问题", "20260411", "20260415"
+    UNION ALL SELECT "0", "5d", "实验组：DNN模型-调参", "20260416", "20260416"
+    UNION ALL SELECT "0", "5d", "实验组：变更str*ros建模目标实验", "20260417", "20260424"
+    UNION ALL SELECT "0", "5d", "实验组：曝光建模v1+DNN模型", "20260425", "29991231"
+    UNION ALL SELECT "0", "ef", "实验组：DNN模型-调参",            "20260410", "29991231"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型",                 "20260413", "20260507"
+    UNION ALL SELECT "0", "2c", "实验组：DNN模型-调参",                 "20260508", "29991231"
+    UNION ALL SELECT "0", "89", "对照组",                          "20260301", "20260507"
+    UNION ALL SELECT "0", "89", "实验组：DNN模型-调参",                          "20260508", "29991231"
+)
+,base_tab AS
+(
+    SELECT  sub.dt
+            ,sub.apptype
+            ,sg.suffix_group
+            ,COALESCE(m.abcode,"对照组") AS abcode
+            ,sub.vid
+            ,sub.mid
+            ,sub.share_pv
+            ,sub.return_n_uv
+            ,sub.return_n_uv_noself
+            ,sub.new_exposure_cnt
+            ,CASE   WHEN sub.page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页") THEN "推荐"
+                    WHEN sub.page IN ("回流页","其他") THEN "非推荐"
+                    ELSE "其他"
+            END AS page
+            ,sub.push_from_array
+            ,SIZE(sub.push_from_array) AS n_recall
+    FROM    (
+                SELECT  dt, apptype, vid, mid,
+                        COALESCE(share_cnt,0) AS share_pv,
+                        COALESCE(return_n_uv,0) AS return_n_uv,
+                        COALESCE(return_n_uv_noself,0) AS return_n_uv_noself,
+                        COALESCE(new_exposure_cnt,0) AS new_exposure_cnt,
+                        SPLIT(
+                              REGEXP_REPLACE(GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList[*].pushFrom'),'(\\[|\\]|")','')
+                        ,',') AS push_from_array,
+                        page,
+                        SUBSTR(GET_JSON_OBJECT(extend,'$.rootsessionid'),LENGTH(GET_JSON_OBJECT(extend,'$.rootsessionid')),1) AS suffix
+                FROM    loghubods.dwd_recsys_alg_exposure_base_20250108
+                WHERE   dt = '${dt}'
+                AND     apptype IN ('0','4')
+                AND     recommendlogvo IS NOT NULL
+                AND     GET_JSON_OBJECT(recommendlogvo,'$.pushFromIndexList') IS NOT NULL
+                AND     page IN ("回流后沉浸页&内页feed","详情后沉浸页","首页feed","详情页")
+                AND     abcode NOT IN ("ab100")
+                AND     (apptype = "4"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab8","ab9"))
+                AND     (apptype = "0"
+                         OR abcode IN ("ab0","ab1","ab2","ab3","ab4","ab5","ab6","ab7","ab8","ab9"))
+            ) sub
+    INNER JOIN t_suffix_group sg
+    ON      sub.suffix = sg.suffix
+    LEFT JOIN t_experiment_map m
+    ON      sub.apptype = m.apptype
+    AND     sg.suffix_group = m.suffix_group
+    AND     '${dt}' BETWEEN m.start_dt AND m.end_dt
+)
+,push_from_map AS
+(
+              SELECT 'recall_strategy_region_1h'      AS push_from, '省份实时热门'              AS strategy_name, '场' AS l1, '地域'    AS l2
+    UNION ALL SELECT 'recall_pool_region_h',           '区域小时热门',              '场', '地域'
+    UNION ALL SELECT 'recall_pool_region_24h',         '区域24小时热门',            '场', '地域'
+    UNION ALL SELECT 'recall_pool_24h',                '全局24小时兜底',            '场', '地域'
+    UNION ALL SELECT 'rov_recall_24h_dup',             '全局24小时兜底dup',         '场', '地域'
+    UNION ALL SELECT 'city_rovn',                      '城市热门',                  '场', '地域'
+    UNION ALL SELECT 'priori_province_ros',            '省份日热门-分享回流率',     '场', '地域'
+    UNION ALL SELECT 'priori_province_rovn',           '省份日热门-回流率',         '场', '地域'
+    UNION ALL SELECT 'priori_province_str',            '省份日热门-分享率',         '场', '地域'
+    UNION ALL SELECT 'recall_strategy_head_cate1',     '头部视频一级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2',     '头部视频二级类目x省',       '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_head_cate2_rov', '头部视频相似类目',          '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rovn',  '场景协同-回流率',           '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_scene_cf_rosn',  '场景协同-分享回流率',       '场', '头部视频'
+    UNION ALL SELECT 'return_video_recall',            '老版相似视频(老版i2i)',     '场', '头部视频'
+    UNION ALL SELECT 'recall_strategy_user_cate1',     '用户一级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'recall_strategy_user_cate2',     '用户二级类目偏好',          '人', '分享'
+    UNION ALL SELECT 'return_1_cate2_ros',             '回流类目ros',               '人', '回流'
+    UNION ALL SELECT 'return_1_cate2_str',             '回流类目rov',               '人', '回流'
+    UNION ALL SELECT 'flow_pool',                      '汤姆森冷启池',              '场', '流量池'
+    UNION ALL SELECT 'recall_strategy_hotspot',        '抖音热点池',                '场', '流量池'
+)
+,base_with_bucket AS
+(
+    SELECT  b.dt, b.apptype, b.abcode, b.suffix_group, b.page,
+            b.vid, b.mid,
+            b.share_pv, b.return_n_uv, b.return_n_uv_noself, b.new_exposure_cnt,
+            b.push_from_array, b.n_recall,
+            nb.n_bucket
+    FROM    base_tab b
+    LATERAL VIEW EXPLODE(
+        IF(b.n_recall = 1, ARRAY('全部','独有'), ARRAY('全部'))
+    ) nb AS n_bucket
+)
+,total_tab AS
+(
+    SELECT  dt, apptype, abcode, suffix_group, page, n_bucket
+            ,COUNT(DISTINCT mid) AS total_exp_uv
+            ,COUNT(1) AS total_exp_pv
+            ,SUM(share_pv) AS total_share_pv
+            ,SUM(return_n_uv) AS total_return_n_uv
+            ,SUM(return_n_uv_noself) AS total_return_n_uv_noself
+            ,SUM(new_exposure_cnt) AS total_new_exposure_cnt
+            ,COUNT(DISTINCT vid) AS total_vid_cnt
+    FROM    base_with_bucket
+    GROUP BY dt, apptype, abcode, suffix_group, page, n_bucket
+)
+,total_all_tab AS
+(
+    SELECT dt, apptype, abcode, suffix_group, page,
+           total_exp_pv AS total_exp_pv_all
+    FROM   total_tab
+    WHERE  n_bucket = '全部'
+)
+,detail_table AS
+(
+    SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+            ,COALESCE(exp_uv,0) AS exp_uv
+            ,COALESCE(exp_pv,0) AS exp_pv
+            ,COALESCE(share_pv,0) AS share_pv
+            ,COALESCE(return_n_uv,0) AS return_n_uv
+            ,COALESCE(return_n_uv_noself,0) AS return_n_uv_noself
+            ,COALESCE(new_exposure_cnt,0) AS new_exposure_cnt
+            ,COALESCE(vid_cnt,0) AS vid_cnt
+            ,ROUND(COALESCE(视频平均曝光次数,0),4) AS 视频平均曝光次数
+            ,ROUND(COALESCE(share_pv / exp_pv,0),4) AS str
+            ,ROUND(COALESCE(return_n_uv / share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(return_n_uv / exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(return_n_uv_noself / share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(return_n_uv_noself / exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(new_exposure_cnt / exp_pv,0),4) AS vovh24
+    FROM    (
+                SELECT  dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+                        ,COUNT(DISTINCT mid) AS exp_uv
+                        ,COUNT(1) AS exp_pv
+                        ,SUM(share_pv) AS share_pv
+                        ,SUM(return_n_uv) AS return_n_uv
+                        ,SUM(return_n_uv_noself) AS return_n_uv_noself
+                        ,SUM(new_exposure_cnt) AS new_exposure_cnt
+                        ,COUNT(DISTINCT vid) AS vid_cnt
+                        ,COUNT(1) / COUNT(DISTINCT vid) AS 视频平均曝光次数
+                FROM    (
+                            SELECT  b.dt, b.apptype, b.abcode, b.suffix_group, b.page,
+                                    b.vid, b.mid,
+                                    b.share_pv, b.return_n_uv, b.return_n_uv_noself, b.new_exposure_cnt,
+                                    b.n_bucket,
+                                    t.single_push_from
+                            FROM    base_with_bucket b
+                            LATERAL VIEW EXPLODE(b.push_from_array) t AS single_push_from
+                        )
+                GROUP BY dt, apptype, abcode, suffix_group, page, single_push_from, n_bucket
+            )
+)
+SELECT  row_order
+        ,日期
+        ,apptype
+        ,abcode
+        ,suffix_group
+        ,n_bucket
+        ,页面
+        ,召回源
+        ,召回策略名
+        ,一级类目
+        ,二级类目
+        ,str
+        ,rosn
+        ,rovn
+        ,rosn_noself
+        ,rovn_noself
+        ,vovh24
+        ,exp_uv
+        ,total_exp_uv
+        ,exp_uv_rate
+        ,exp_pv
+        ,total_exp_pv
+        ,exp_pv_rate
+        ,exp_pv_rate_全大盘
+        ,share_pv
+        ,total_share_pv
+        ,share_pv_rate
+        ,return_n_uv
+        ,total_return_n_uv
+        ,return_n_uv_rate
+        ,消耗比
+        ,return_n_uv_noself
+        ,total_return_n_uv_noself
+        ,return_n_uv_rate_noself
+        ,消耗比_noself
+        ,new_exposure_cnt
+        ,total_new_exposure_cnt
+        ,new_exposure_rate
+        ,vid_cnt
+        ,total_vid_cnt
+        ,vid_cnt_rate
+        ,人均曝光pv
+        ,人均分享pv
+        ,视频平均曝光次数
+FROM    (
+    -- 召回源汇总：每 (apptype, abcode, suffix_group, 召回源, n_bucket) 一行（row_order=1）
+    SELECT  1 AS row_order
+            ,t1.dt AS 日期
+            ,t1.apptype, t1.abcode, t1.suffix_group, t1.n_bucket
+            ,t1.page AS 页面
+            ,t1.single_push_from AS 召回源
+            ,COALESCE(m.strategy_name, t1.single_push_from) AS 召回策略名
+            ,COALESCE(m.l1, '其他') AS 一级类目
+            ,COALESCE(m.l2, '其他') AS 二级类目
+            ,t1.str, t1.rosn, t1.rovn, t1.rosn_noself, t1.rovn_noself, t1.vovh24
+            ,t1.exp_uv
+            ,t2.total_exp_uv
+            ,ROUND(t1.exp_uv / t2.total_exp_uv,4) AS exp_uv_rate
+            ,t1.exp_pv
+            ,t2.total_exp_pv
+            ,ROUND(t1.exp_pv / t2.total_exp_pv,4) AS exp_pv_rate
+            ,ROUND(t1.exp_pv / ta.total_exp_pv_all,4) AS exp_pv_rate_全大盘
+            ,t1.share_pv
+            ,t2.total_share_pv
+            ,ROUND(t1.share_pv / t2.total_share_pv,4) AS share_pv_rate
+            ,t1.return_n_uv
+            ,t2.total_return_n_uv
+            ,ROUND(t1.return_n_uv / t2.total_return_n_uv,4) AS return_n_uv_rate
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv / t2.total_return_n_uv) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比
+            ,t1.return_n_uv_noself
+            ,t2.total_return_n_uv_noself
+            ,ROUND(t1.return_n_uv_noself / t2.total_return_n_uv_noself,4) AS return_n_uv_rate_noself
+            ,ROUND(IF(t1.exp_pv / t2.total_exp_pv > 0
+                      ,(t1.return_n_uv_noself / t2.total_return_n_uv_noself) / (t1.exp_pv / t2.total_exp_pv) - 1
+                      ,NULL), 4) AS 消耗比_noself
+            ,t1.new_exposure_cnt
+            ,t2.total_new_exposure_cnt
+            ,ROUND(t1.new_exposure_cnt / t2.total_new_exposure_cnt,4) AS new_exposure_rate
+            ,t1.vid_cnt
+            ,t2.total_vid_cnt
+            ,ROUND(t1.vid_cnt / t2.total_vid_cnt,4) AS vid_cnt_rate
+            ,ROUND(t1.exp_pv / t1.exp_uv,4) AS 人均曝光pv
+            ,ROUND(t1.share_pv / t1.exp_uv,4) AS 人均分享pv
+            ,t1.视频平均曝光次数
+    FROM    detail_table t1
+    JOIN    total_tab t2
+    ON      t1.dt = t2.dt
+    AND     t1.apptype = t2.apptype
+    AND     t1.abcode = t2.abcode
+    AND     t1.suffix_group = t2.suffix_group
+    AND     t1.page = t2.page
+    AND     t1.n_bucket = t2.n_bucket
+    LEFT JOIN total_all_tab ta
+    ON      t1.dt = ta.dt
+    AND     t1.apptype = ta.apptype
+    AND     t1.abcode = ta.abcode
+    AND     t1.suffix_group = ta.suffix_group
+    AND     t1.page = ta.page
+    LEFT JOIN push_from_map m
+    ON      t1.single_push_from = m.push_from
+    WHERE   t1.page IN ("推荐")
+    AND     t1.exp_pv > 100
+
+    UNION ALL
+
+    -- 总计：每 (apptype, abcode, suffix_group, n_bucket) 一行（row_order=0）
+    SELECT  0 AS row_order
+            ,tt.dt AS 日期
+            ,tt.apptype, tt.abcode, tt.suffix_group, tt.n_bucket
+            ,tt.page AS 页面
+            ,'__总计__' AS 召回源
+            ,'总计' AS 召回策略名
+            ,'-' AS 一级类目
+            ,'-' AS 二级类目
+            ,ROUND(COALESCE(total_share_pv / total_exp_pv,0),4) AS str
+            ,ROUND(COALESCE(total_return_n_uv / total_share_pv,0),4) AS rosn
+            ,ROUND(COALESCE(total_return_n_uv / total_exp_pv,0),4) AS rovn
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_share_pv,0),4) AS rosn_noself
+            ,ROUND(COALESCE(total_return_n_uv_noself / total_exp_pv,0),4) AS rovn_noself
+            ,ROUND(COALESCE(total_new_exposure_cnt / total_exp_pv,0),4) AS vovh24
+            ,total_exp_uv AS exp_uv
+            ,total_exp_uv AS total_exp_uv
+            ,1.0 AS exp_uv_rate
+            ,total_exp_pv AS exp_pv
+            ,total_exp_pv AS total_exp_pv
+            ,1.0 AS exp_pv_rate
+            ,ROUND(total_exp_pv / total_exp_pv_all, 4) AS exp_pv_rate_全大盘
+            ,total_share_pv AS share_pv
+            ,total_share_pv AS total_share_pv
+            ,1.0 AS share_pv_rate
+            ,total_return_n_uv AS return_n_uv
+            ,total_return_n_uv AS total_return_n_uv
+            ,1.0 AS return_n_uv_rate
+            ,0.0 AS 消耗比
+            ,total_return_n_uv_noself AS return_n_uv_noself
+            ,total_return_n_uv_noself AS total_return_n_uv_noself
+            ,1.0 AS return_n_uv_rate_noself
+            ,0.0 AS 消耗比_noself
+            ,total_new_exposure_cnt AS new_exposure_cnt
+            ,total_new_exposure_cnt AS total_new_exposure_cnt
+            ,1.0 AS new_exposure_rate
+            ,total_vid_cnt AS vid_cnt
+            ,total_vid_cnt AS total_vid_cnt
+            ,1.0 AS vid_cnt_rate
+            ,ROUND(COALESCE(total_exp_pv / total_exp_uv,0),4) AS 人均曝光pv
+            ,ROUND(COALESCE(total_share_pv / total_exp_uv,0),4) AS 人均分享pv
+            ,ROUND(COALESCE(total_exp_pv / total_vid_cnt,0),4) AS 视频平均曝光次数
+    FROM    total_tab tt
+    LEFT JOIN total_all_tab ta
+    ON      tt.dt = ta.dt
+    AND     tt.apptype = ta.apptype
+    AND     tt.abcode = ta.abcode
+    AND     tt.suffix_group = ta.suffix_group
+    AND     tt.page = ta.page
+    WHERE   tt.page IN ("推荐")
+) u
+WHERE   exp_pv >= 100
+;