diff --git a/dev/workflow/TK_Cust/agents_market_newsletter/enterprise_card_newsletter/dysql_enterprise_card_newsletter.sql b/dev/workflow/TK_Cust/agents_market_newsletter/enterprise_card_newsletter/dysql_enterprise_card_newsletter.sql
index b21cb17..dc7cdce 100644
--- a/dev/workflow/TK_Cust/agents_market_newsletter/enterprise_card_newsletter/dysql_enterprise_card_newsletter.sql
+++ b/dev/workflow/TK_Cust/agents_market_newsletter/enterprise_card_newsletter/dysql_enterprise_card_newsletter.sql
@@ -80,6 +80,13 @@ left join p70_ai_intelligence.agent_recommendation_cache p5
 on p1.company_name=p5.company_name 
 order by p1.company_name,p1.source_url,p1.create_tm desc,p5.created_at desc;
 
+update p60_mart.news_letter_info p1
+set saler_name=p2.saler_name
+from p30_common.account_tsm_rela_t p2
+where p1.account_name ~ p2.account_name
+and p2.data_type='news_letter';
+
+
 drop table if exists enterprise_card_funnel_one_t2;
 create temporary table enterprise_card_funnel_one_t2
 as
diff --git a/dev/workflow/TK_Cust/agents_market_newsletter/recruitment_news_letter/dysql_recruitment_news_letter.sql b/dev/workflow/TK_Cust/agents_market_newsletter/recruitment_news_letter/dysql_recruitment_news_letter.sql
index 8472aca..af84e5a 100644
--- a/dev/workflow/TK_Cust/agents_market_newsletter/recruitment_news_letter/dysql_recruitment_news_letter.sql
+++ b/dev/workflow/TK_Cust/agents_market_newsletter/recruitment_news_letter/dysql_recruitment_news_letter.sql
@@ -9,14 +9,14 @@ create temporary table recruitment_t1
 as
 select distinct on (p1.company_name,p1.recruitment_title) p1.company_name,p2.saler_name,p1.whitelist_flag,p1.recruitment_title 
 ,p1.summary ,p1.tek_products ,p1.tk_relevance,p1.industry ,p1.prov_name ,p1.city_name ,p1.district,p1.source_url,p1.business_type,p1.create_tm
-from (select  p1.company company_name
-,case when p3.account_name is not null then '1' else '0' end whitelist_flag,p1.content_title recruitment_title
-,p1.summary ,p1.recommended_products tek_products,p1.relevance_analysis tk_relevance,p2.industry ,p2.prov_name ,p2.city_name ,coalesce(p3.district)district ,p1.url source_url,'招聘信息' business_type,p1.created_at create_tm
-from p70_ai_intelligence.agent_recruitment_summary p1 
+from (select  p1.company_name company_name
+,case when p3.account_name is not null then '1' else '0' end whitelist_flag,p1.title recruitment_title
+,p1.insight summary ,'' tek_products,'' tk_relevance,p2.industry ,p2.prov_name ,p2.city_name ,coalesce(p3.district)district ,'' source_url,'招聘信息' business_type,p1.create_tm create_tm
+from p30_common.a_recruitment_intelligence p1 
 left join p30_common.d_account_info p2 
-on p1.company =p2."name" 
+on p1.company_name =p2."name" 
 left join p30_common.white_list p3
-on (p1.company =p3.account_name)
+on (p1.company_name =p3.account_name)
 and p3.as_of_date='2025-12-19'
 where p2."name" is not null)p1 
 left join p20_pdm.t00_china_city_pnum p2
@@ -65,11 +65,12 @@ 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='recruitment_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)
+(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,portal_url,zip_url)
 select distinct on (p1.company_name,p1.source_url) p1.company_name account_name, coalesce(saler_name,''), whitelist_flag, recruitment_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,'recruitment_summary' source_system from recruitment_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,'recruitment_summary' source_system 
+,p6.门户资源包,p6.压缩包链接 from recruitment_t1 p1
 left join (select company,count(*) contact_qty from recruitment_contact_t1 group by 1 ) p2
 on p1.company_name=p2.company
 left join (select customer_name,sum(total_amt) total_amt from recruitment_funnel_one_t1 group by 1) p3
@@ -78,8 +79,17 @@ left join (select account_name,sum(total_amount) total_amount from recruitment_f
 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 replace(replace(replace(p5.matched_keys::text,'"',''),'，',','),' ','') like '%'||p6.关键词 ||'%'
 order by p1.company_name,p1.source_url,p1.create_tm desc,p5.created_at desc;
 
+update p60_mart.news_letter_info p1
+set saler_name=p2.saler_name
+from p30_common.account_tsm_rela_t p2
+where p1.account_name ~ p2.account_name
+and p2.data_type='news_letter';
+
+
 drop table if exists recruitment_funnel_one_t2;
 create temporary table recruitment_funnel_one_t2
 as