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add workflow 市场News-Agents调度,dev

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root 2025-12-21 19:46:00 +08:00
parent aa1bec67b9
commit 7be8beb73b
1 changed files with 2 additions and 2 deletions
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dev/workflow/TK_Cust/agents_market_newsletter/news_letter/dysql_news_letter_info.sql
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@ -66,11 +66,11 @@ order by p1.tek_opportunity_id,status_last_update desc,p1.as_of_date asc;
delete from p60_mart.news_letter_info; delete from p60_mart.news_letter_info;
INSERT INTO p60_mart.news_letter_info INSERT INTO p60_mart.news_letter_info
(account_name, saler_name, whitelist_flag, newsletter_title, summary, key_products, tek_relevance, industry, prov_name, city_name, district, contact_qty, total_funnel, report_amt,source_url,business_type,create_tm) (account_name, saler_name, whitelist_flag, newsletter_title, summary, key_products, tek_relevance, industry, prov_name, city_name, district, contact_qty, total_funnel, report_amt,source_url,business_type,create_tm,source_system)
select distinct on (p1.company_name,p1.source_url) p1.company_name account_name, coalesce(saler_name,''), whitelist_flag, newsletter_title, summary select distinct on (p1.company_name,p1.source_url) p1.company_name account_name, coalesce(saler_name,''), whitelist_flag, newsletter_title, summary
, case when p5.data_json::text like '{%' then replace(replace(replace(p5.data_json->>'主营产品'::text,'"',''),'[',''),']','') , case when p5.data_json::text like '{%' then replace(replace(replace(p5.data_json->>'主营产品'::text,'"',''),'[',''),']','')
when p5.data_json::text like '[%' then replace(replace(replace(p5.data_json::text,'"',''),'[',''),']','') else '' end when p5.data_json::text like '[%' then replace(replace(replace(p5.data_json::text,'"',''),'[',''),']','') else '' end
,coalesce(p5.recomend_product_series::text,'') tek_relevance, industry, coalesce(prov_name,''), coalesce(city_name), district,coalesce(p2.contact_qty,0) contact_qty, coalesce(total_amt,0)+coalesce(total_amount,0) total_funnel,coalesce(total_amt,0) report_amt,p1.source_url,p1.business_type,p1.create_tm from newsletter_t1 p1 ,coalesce(p5.recomend_product_series::text,'') tek_relevance, industry, coalesce(prov_name,''), coalesce(city_name), district,coalesce(p2.contact_qty,0) contact_qty, coalesce(total_amt,0)+coalesce(total_amount,0) total_funnel,coalesce(total_amt,0) report_amt,p1.source_url,p1.business_type,p1.create_tm,'market_summary' from newsletter_t1 p1
left join (select company,count(*) contact_qty from newsletter_contact_t1 group by 1 ) p2 left join (select company,count(*) contact_qty from newsletter_contact_t1 group by 1 ) p2
on p1.company_name=p2.company on p1.company_name=p2.company
left join (select customer_name,sum(total_amt) total_amt from newsletter_funnel_one_t1 group by 1) p3 left join (select customer_name,sum(total_amt) total_amt from newsletter_funnel_one_t1 group by 1) p3