AND first_channel_source_type not LIKE 'promotion\_jf\_%'
)t1
JOIN
(--精准曝光，卡片id和session_id去重
SELECT partition_date,
card_content_type,
cl_id,
v.recommend_type,
card_id,
count(distinct app_session_id) as session_pv
FROM
(
SELECT partition_date,
cl_id,
case when card_content_type in ('qa','answer') then 'qa'
when card_content_type in ('special_pool') then 'special' else card_content_type end as card_content_type,
CASE when transaction_type in ('fmctr','samecity_fmctr') then array('fmctr','合计')
when transaction_type in ('high_quality_fmctr') then array('high_quality_fmctr','合计')
WHEN (transaction_type like '%ctr' and transaction_type not in ('high_quality_ctr','high_quality_fmctr','fmctr','samecity_fmctr') ) THEN array('ctr预估','合计')
when transaction_type in ('high_quality_ctr') then array('high_quality_ctr','合计')
WHEN transaction_type like '%cvr' THEN array('cvr预估','合计')
WHEN transaction_type in ('-1','smr') THEN array('smr','合计')
when transaction_type in ('pgc','hotspot') then array('热点卡片')
when transaction_type in ('newdata') then array('保量卡片')
when transaction_type in ('hotspot_feed') then array('hotspot_feed','合计')
when transaction_type in ('aistragegy') then array('新用户AI帖优先','合计')
when transaction_type in ('excestragegy') then array('新用户精华帖优先','合计')
when transaction_type in ('FIXEDSTRATEGY') then array('新氧新用户策略一','合计')
when transaction_type in ('FIXEDSTRATEGY_VIDEO') then array('新氧新用户策略二','合计')
when transaction_type like 'deeplink%' then array('deeplink策略','合计')
end AS recommend_type,
card_id,
app_session_id
from online.ml_community_precise_exposure_detail
WHERE partition_date={partition_day}
AND action in ('page_precise_exposure','home_choiceness_card_exposure') --7745版本action改为page_precise_exposure
AND is_exposure = '1' ----精准曝光
AND page_name ='home'
AND tab_name = '精选'
AND (transaction_type in ('-1','smr','hotspot','pgc','newdata','hotspot_feed','aistragegy','excestragegy','FIXEDSTRATEGY','FIXEDSTRATEGY_VIDEO')
or transaction_type like '%ctr' or transaction_type like '%cvr' or transaction_type like 'deeplink%')
AND card_content_type in ('qa','diary','user_post','answer','special_pool')
group by partition_date,
case when card_content_type in ('qa','answer') then 'qa'
when card_content_type in ('special_pool') then 'special' else card_content_type end,
cl_id,
CASE when transaction_type in ('fmctr','samecity_fmctr') then array('fmctr','合计')
when transaction_type in ('high_quality_fmctr') then array('high_quality_fmctr','合计')
WHEN (transaction_type like '%ctr' and transaction_type not in ('high_quality_ctr','high_quality_fmctr','fmctr','samecity_fmctr')) THEN array('ctr预估','合计')
when transaction_type in ('high_quality_ctr') then array('high_quality_ctr','合计')
WHEN transaction_type like '%cvr' THEN array('cvr预估','合计')
WHEN transaction_type in ('-1','smr') THEN array('smr','合计')
when transaction_type in ('pgc','hotspot') then array('热点卡片')
when transaction_type in ('newdata') then array('保量卡片')
when transaction_type in ('hotspot_feed') then array('hotspot_feed','合计')
when transaction_type in ('aistragegy') then array('新用户AI帖优先','合计')
when transaction_type in ('excestragegy') then array('新用户精华帖优先','合计')
when transaction_type in ('FIXEDSTRATEGY') then array('新氧新用户策略一','合计')
when transaction_type in ('FIXEDSTRATEGY_VIDEO') then array('新氧新用户策略二','合计')
when transaction_type like 'deeplink%' then array('deeplink策略','合计') end,
card_id,
app_session_id
)a
LATERAL VIEW explode (a.recommend_type) v as recommend_type
group by partition_date,card_content_type,cl_id,v.recommend_type,card_id
)t2
on t1.device_id=t2.cl_id and t1.partition_date=t2.partition_date where t2.session_pv >= 4
LEFT JOIN
(--卡片，卡片id和session_id去重
SELECT partition_date,
card_content_type,
cl_id,
v.recommend_type,
card_id,
count(distinct app_session_id) as session_pv
FROM
(
SELECT partition_date,
cl_id,
case when params['card_content_type'] in ('qa','answer') then 'qa'
when params['card_content_type'] in ('special_pool') then 'special' else params['card_content_type'] end as card_content_type,
CASE when params['transaction_type'] in ('fmctr','samecity_fmctr') then array('fmctr','合计')
when params['transaction_type'] in ('high_quality_fmctr') then array('high_quality_fmctr','合计')
WHEN (params['transaction_type'] like '%ctr' and params['transaction_type'] not in ('high_quality_ctr','high_quality_fmctr','fmctr','samecity_fmctr')) THEN array('ctr预估','合计')
when params['transaction_type'] in ('high_quality_ctr') then array('high_quality_ctr','合计')
WHEN params['transaction_type'] like '%cvr' THEN array('cvr预估','合计')
WHEN params['transaction_type'] in ('-1','smr') THEN array('smr','合计')
when params['transaction_type'] in ('pgc','hotspot') then array('热点卡片')
when params['transaction_type'] in ('newdata') then array('保量卡片')
when params['transaction_type'] in ('hotspot_feed') then array('hotspot_feed','合计')
when params['transaction_type'] in ('aistragegy') then array('新用户AI帖优先','合计')
when params['transaction_type'] in ('excestragegy') then array('新用户精华帖优先','合计')
when params['transaction_type'] in ('FIXEDSTRATEGY') then array('新氧新用户策略一','合计')
when params['transaction_type'] in ('FIXEDSTRATEGY_VIDEO') then array('新氧新用户策略二','合计')
when params['transaction_type'] like 'deeplink%' then array('deeplink策略','合计')
end AS recommend_type,
params['card_id'] as card_id,
app_session_id
from online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='on_click_card'
AND params['page_name'] ='home'
AND params['tab_name'] = '精选'
AND (params['transaction_type'] in ('-1','smr','hotspot','pgc','newdata','hotspot_feed','aistragegy','excestragegy','FIXEDSTRATEGY','FIXEDSTRATEGY_VIDEO')
or params['transaction_type'] like '%ctr' or params['transaction_type'] like '%cvr' or params['transaction_type'] like 'deeplink%')
AND params['card_content_type'] in ('qa','diary','user_post','answer','special_pool')
GROUP BY partition_date,
cl_id,
case when params['card_content_type'] in ('qa','answer') then 'qa'
when params['card_content_type'] in ('special_pool') then 'special' else params['card_content_type'] end,
CASE when params['transaction_type'] in ('fmctr','samecity_fmctr') then array('fmctr','合计')
when params['transaction_type'] in ('high_quality_fmctr') then array('high_quality_fmctr','合计')
WHEN (params['transaction_type'] like '%ctr' and params['transaction_type'] not in ('high_quality_ctr','high_quality_fmctr','fmctr','samecity_fmctr')) THEN array('ctr预估','合计')
when params['transaction_type'] in ('high_quality_ctr') then array('high_quality_ctr','合计')
WHEN params['transaction_type'] like '%cvr' THEN array('cvr预估','合计')
WHEN params['transaction_type'] in ('-1','smr') THEN array('smr','合计')
when params['transaction_type'] in ('pgc','hotspot') then array('热点卡片')
when params['transaction_type'] in ('newdata') then array('保量卡片')
when params['transaction_type'] in ('hotspot_feed') then array('hotspot_feed','合计')
when params['transaction_type'] in ('aistragegy') then array('新用户AI帖优先','合计')
when params['transaction_type'] in ('excestragegy') then array('新用户精华帖优先','合计')
when params['transaction_type'] in ('FIXEDSTRATEGY') then array('新氧新用户策略一','合计')
when params['transaction_type'] in ('FIXEDSTRATEGY_VIDEO') then array('新氧新用户策略二','合计')
when params['transaction_type'] like 'deeplink%' then array('deeplink策略','合计') end,
params['card_id'],
app_session_id
)a
LATERAL VIEW explode (a.recommend_type) v as recommend_type
group by partition_date,card_content_type,cl_id,v.recommend_type,card_id
)t3
on t2.partition_date=t3.partition_date
and t2.cl_id=t3.cl_id
and t2.card_id=t3.card_id
and t2.card_content_type=t3.card_content_type
and t2.recommend_type=t3.recommend_type
LEFT JOIN
(--页面浏览时长
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name
,sum(page_stay) as page_stay
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
page_stay,time_str
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='page_view'
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
AND referrer='home'
AND page_stay>=0 AND page_stay<1000
GROUP BY partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end,page_stay,time_str
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
group by partition_date,cl_id,coalesce(b.id,a.business_id),a.page_name
)t4
on t4.partition_date=t3.partition_date
and t4.cl_id=t3.cl_id
and t4.business_id=t3.card_id
and t4.page_name=t3.card_content_type
LEFT JOIN
(--页面浏览时长
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name
,count(1) as pv
,count(case when page_stay>=20 then 1 end) as pv_20
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,time_str,page_stay
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='page_view'
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
AND referrer='home'
GROUP BY partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end,time_str,page_stay
)a
left join
(--在8月份新增了内容专题卡片，需要转换下id
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
group by partition_date,cl_id,coalesce(b.id,a.business_id),a.page_name
)t4_pv
on t4_pv.partition_date=t3.partition_date
and t4_pv.cl_id=t3.cl_id
and t4_pv.business_id=t3.card_id
and t4_pv.page_name=t3.card_content_type
LEFT JOIN
(--搜索框和点击行为
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,navbar_pv
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as navbar_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action in ('on_click_navbar_search','do_search')
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
)t5
on t5.partition_date=t3.partition_date
and t5.cl_id=t3.cl_id
and t5.business_id=t3.card_id
and t5.page_name=t3.card_content_type
LEFT JOIN
(--点击高亮词
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,highlight_pv
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as highlight_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='on_click_card'
and params['card_type']='highlight_word'
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
group by partition_date,cl_id,coalesce(b.id,a.business_id),a.page_name
)t7
on t7.partition_date=t3.partition_date
and t7.cl_id=t3.cl_id
and t7.business_id=t3.card_id
and t7.page_name=t3.card_content_type
LEFT JOIN
(--推荐的美购卡片(需要排除作者消费的美购)
SELECT partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,count(1) as recom_wel_pv
FROM
(
SELECT partition_date,cl_id,business_id,app_session_id,params['card_id'] as card_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as service_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND (action='on_click_card'and params['card_content_type']='service'
or action='on_click_button' and params['button_name']='unfold' and page_name in ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail')
or action='on_click_button' and params['button_name'] = 'more_recommendations')
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
group by partition_date,cl_id,coalesce(b.id,a.business_id),a.page_name
)t8
on t8.partition_date=t3.partition_date
and t8.cl_id=t3.cl_id
and t8.business_id=t3.card_id
and t8.page_name=t3.card_content_type
LEFT JOIN
(--推荐的内容卡片
SELECT partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,count(1) as recom_content_pv
FROM
(
SELECT partition_date,cl_id,business_id,app_session_id,params['card_id'] as card_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as service_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='on_click_card'
and params['card_content_type'] in ('qa','diary','user_post','answer')
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
group by partition_date,cl_id,business_id,app_session_id,params['card_id'],
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
group by partition_date,cl_id,coalesce(b.id,a.business_id),a.page_name
)t9
on t9.partition_date=t3.partition_date
and t9.cl_id=t3.cl_id
and t9.business_id=t3.card_id
and t9.page_name=t3.card_content_type
LEFT JOIN
(--视频面诊点击
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,video_pv
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as video_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='on_click_button'
and params['button_name']='video_interview'
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end
)a
left join
(
select id,visual_page_id,'special' as page_name
from tl.tl_zx_api_special_pool
where partition_day ={partition_day}
group by id,visual_page_id
)b
on a.business_id=b.visual_page_id and a.page_name=b.page_name
)t10
on t10.partition_date=t3.partition_date
and t10.cl_id=t3.cl_id
and t10.business_id=t3.card_id
and t10.page_name=t3.card_content_type
LEFT JOIN
(--转诊按钮点击
select partition_date,cl_id,coalesce(b.id,a.business_id) as business_id,a.page_name,referral_pv
from
(
SELECT partition_date,cl_id,business_id,
case when page_name in ('diary_detail','topic_detail') then 'diary'
when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
when page_name in ('question_detail','answer_detail','question_answer_detail') then 'qa'
when page_name in ('custom_special') then 'special' else null end as page_name,
count(1) as referral_pv
FROM online.bl_hdfs_maidian_updates
WHERE partition_date={partition_day}
AND action='on_click_button'
and params['button_name']='referral'
AND page_name IN ('diary_detail','topic_detail','post_detail','user_post_detail','doctor_post_detail','question_detail','answer_detail','question_answer_detail','custom_special')
group by partition_date,cl_id,params['business_id'],
case when page_name in ('post_detail','user_post_detail','doctor_post_detail') then 'user_post'
else null end
)t13
on t13.partition_date=t3.partition_date
and t13.cl_id=t3.cl_id
and t13.business_id=t3.card_id
and t13.page_name=t3.card_content_type
LEFT JOIN
(
select distinct device_id
from ml.ml_d_ct_dv_devicespam_d --去除机构刷单设备，即作弊设备（浏览和曝光事件去除）
WHERE partition_day={partition_day}
union all
select distinct device_id
from dim.dim_device_user_staff --去除内网用户
)spam_pv
on spam_pv.device_id=t2.cl_id
LEFT JOIN
(
SELECT partition_date,device_id
FROM
(--找出user_id当天活跃的第一个设备id
SELECT user_id,partition_date,
if(size(device_list) > 0, device_list [ 0 ], '') AS device_id
FROM online.ml_user_updates
WHERE partition_date={partition_day}
)t1
JOIN
( --医生账号
SELECT distinct user_id
FROM online.tl_hdfs_doctor_view
WHERE partition_date = {partition_day}
--马甲账号/模特用户
UNION ALL
SELECT user_id
FROM ml.ml_c_ct_ui_user_dimen_d
WHERE partition_day = {partition_day}
AND (is_puppet = 'true' or is_classifyuser = 'true')
UNION ALL
--公司内网覆盖用户
select distinct user_id
from dim.dim_device_user_staff
UNION ALL
--登陆过医生设备
SELECT distinct t1.user_id
FROM
(
SELECT user_id, v.device_id as device_id
FROM online.ml_user_history_detail
LATERAL VIEW EXPLODE(device_history_list) v AS device_id
WHERE partition_date = {partition_day}
) t1
JOIN
(
SELECT device_id
FROM online.ml_device_history_detail
WHERE partition_date = {partition_day}
AND is_login_doctor = '1'
) t2
ON t1.device_id = t2.device_id
)t2
on t1.user_id=t2.user_id
group by partition_date,device_id
)dev
on t2.partition_date=dev.partition_date and t2.cl_id=dev.device_id
WHERE spam_pv.device_id IS NULL
and dev.device_id is null and dev.
GROUP BY t1.partition_date,t1.device_os_type,t1.active_type,t2.card_content_type,t2.recommend_type
order by day_id,device_os_type,active_type,card_content_type,recommend_type;
""".format(partition_day=today_str)
ctr_df=spark.sql(ctr_sql)
ctr_df.createOrReplaceTempView("temp_ctr")
grey_select_sql="""SELECT *,
NVL(ROUND((navbar_search+highlight_word+self_welfare_card+recommend_welfare_card+recommend_content_card*0.2+transfer_card+video_consultation)/card_exposure,5),0) as recommend_ctr,
NVL(ROUND(card_click/card_exposure,5),0) as click_ctr,
NVL(ROUND((navbar_search+highlight_word+self_welfare_card+recommend_welfare_card+recommend_content_card*0.2+transfer_card+video_consultation)/card_click,5),0) as second_jump_ctr ,
NVL(ROUND(page_pv_20/page_pv,5),0) as page_pv_20_percent
