From 043a0da645fae77f80a682f9e99169a685443f9b Mon Sep 17 00:00:00 2001 From: root Date: Thu, 5 Mar 2026 14:38:06 +0800 Subject: [PATCH] =?UTF-8?q?add=20workflow=20=E5=B8=82=E5=9C=BANews-Agents?= =?UTF-8?q?=E8=B0=83=E5=BA=A6,dev?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .../news_letter/dysql_news_letter_info.sql | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/dev/workflow/TK_Cust/agents_market_newsletter/news_letter/dysql_news_letter_info.sql b/dev/workflow/TK_Cust/agents_market_newsletter/news_letter/dysql_news_letter_info.sql index a40c0f0..63fc41a 100644 --- a/dev/workflow/TK_Cust/agents_market_newsletter/news_letter/dysql_news_letter_info.sql +++ b/dev/workflow/TK_Cust/agents_market_newsletter/news_letter/dysql_news_letter_info.sql @@ -74,11 +74,12 @@ order by p1.tek_opportunity_id,status_last_update desc,p1.as_of_date asc; delete from p60_mart.news_letter_info where source_system='market_summary'; 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,source_system,data_source) +(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,data_source,portal_url,zip_url) 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,'"',''),'[',''),']','') 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,'market_summary',p1.data_source 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',p1.data_source,p6.门户资源包,p6.压缩包链接 +from newsletter_t1 p1 left join (select company,count(*) contact_qty from newsletter_contact_t1 group by 1 ) p2 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 @@ -87,6 +88,8 @@ left join (select account_name,sum(total_amount) total_amount from newsletter_fu on p1.company_name=p4.account_name left join p70_ai_intelligence.agent_recommendation_cache p5 on p1.company_name=p5.company_name +left join p70_ai_intelligence.key_recommendation p6 +on regexp_replace(p5.matched_keys, '[^\u4e00-\u9fa5]', '', 'g')like '%'||regexp_replace(p6.关键词, '[^\u4e00-\u9fa5]', '', 'g') ||'%' order by p1.company_name,p1.source_url,p1.create_tm desc,p5.created_at desc; drop table if exists newsletter_funnel_one_t2;