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@@ -60,7 +60,9 @@ def image():
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min(start_date) start_date,
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min(content) content,
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min(type) type,
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- if(locate(',',signature)>0,0,1) single_img
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+ if(locate(',',signature)>0,0,1) single_img,
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+ min(width ) width ,
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+ min(height ) height
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from (select replace(signature,' ,','') as signature ,
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sum(cost) consume_amount,
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sum(click_count) click_times,
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@@ -70,12 +72,14 @@ def image():
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min(dt) start_date,
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replace (min(preview_url),' ,','') as content,
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if(is_video=1,2,1) type,
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- if(locate(',',signature)>0,0,1) single_img
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+ if(locate(',',signature)>0,0,1) single_img,
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+ min(replace(if(left (width ,2)='0,',substring(width ,3),width) ,',0','')) width ,
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+ min(replace(if(left (height ,2)='0,',substring(height ,3),height) ,',0','')) height
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from dw_image_cost_day
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where signature is not null and signature !=''
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and length (replace (replace (signature,',',''),' ',''))>0
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GROUP BY signature,is_video) as foo
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- group by signature
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+ group by signature
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"""
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df = db.dm.getData_pd(sql)
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@@ -85,7 +89,7 @@ def image():
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df["data_type"] = 'all'
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key = ["signature"]
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- tag = ["view_times", "click_times", "novels", "start_date", "end_date", "create_by", "single_img", "content",'consume_amount','type']
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+ tag = ["view_times", "click_times", "novels", "start_date", "end_date", "create_by", "single_img", "content",'consume_amount','type','width','height']
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table = "t_ads_media"
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db.zx_ads.dfsave2mysql(df, table, key, tag)
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@@ -95,24 +99,40 @@ def image():
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def adcreative():
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- sql="""select signature,title,description article,
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+ sql="""select signature,title,article,
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+sum(click_times) click_times,
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+sum(view_times) view_times,
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+sum(consume_amount) consume_amount,
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+group_concat(distinct novels) novels,
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+min(start_date) start_date,
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+max(end_date) end_date,
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+min(media) media,
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+min(channel) channel ,
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+min(type) type,
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+if(locate(',',signature)>0,0,1) single_img,
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+min(width) width ,
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+min(height) height
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+from
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+ (select replace(signature ,' ,','') as signature,title,description article,
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sum(click_count) click_times,
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sum(view_count) view_times,
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sum(cost) consume_amount,
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group_concat(distinct book) novels,
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-max(dt) start_date,min(dt) end_date,
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-min(preview_url) media,
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+min(dt) start_date,max(dt) end_date,
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+min(replace(preview_url ,' ,','')) media,
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+min(replace(if(left (width ,2)='0,',substring(width ,3),width) ,',0','')) width ,
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+min(replace(if(left (height ,2)='0,',substring(height ,3),height) ,',0','')) height ,
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type channel,
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if(is_video=1,2,1) type,
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if(locate(',',signature)>0,0,1) single_img
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-
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-from dw_image_cost_day where signature is not null and signature!='' GROUP BY signature,title,description,type,is_video
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- """
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+from dw_image_cost_day where signature is not null and signature!=''
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+GROUP BY signature,title,description,type,is_video) as foo
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+group by signature ,title,article """
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df = db.dm.getData_pd(sql)
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key = ["signature",'title','article']
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- tag = ["view_times", "click_times", "novels", "start_date", "end_date","type","channel",'consume_amount','single_img','media']
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+ tag = ["view_times", "click_times", "novels", "start_date", "end_date","type","channel",'consume_amount','single_img','media','width','height']
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table = "t_ads_idea"
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db.zx_ads.dfsave2mysql(df, table, key, tag)
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