feat(pkb): implement complete batch processing workflow and frontend optimization
- Frontend V3 architecture migration to modules/pkb - Implement three work modes: full-text reading, deep reading, batch processing - Complete batch processing: template selection, progress display, result export (CSV) - Integrate Ant Design X Chat component with streaming support - Add document upload modal with drag-and-drop support - Optimize UI: multi-line table display, citation formatting, auto-scroll - Fix 10+ technical issues: API mapping, state sync, form clearing - Update documentation: development records and module status Performance: 3 docs batch processing ~17-28s Status: PKB module now production-ready (90% complete)
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@@ -882,5 +882,6 @@ ACR镜像仓库:
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@@ -1369,5 +1369,6 @@ SAE应用配置:
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@@ -1185,5 +1185,6 @@ docker exec -e PGPASSWORD="密码" ai-clinical-postgres psql -h RDS地址 -U air
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@@ -597,4 +597,5 @@ scripts/*.ts
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@@ -286,3 +286,4 @@ Node.js后端部署成功后:
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@@ -509,3 +509,4 @@ Node.js后端 (SAE) ← http://172.17.173.88:3001
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@@ -224,3 +224,4 @@ curl http://localhost:3001/health
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@@ -262,3 +262,4 @@ npm run dev
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@@ -486,3 +486,4 @@ pgm-2zex1m2y3r23hdn5.pg.rds.aliyuncs.com:5432
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@@ -1814,3 +1814,4 @@ curl http://8.140.53.236/
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@@ -362,3 +362,4 @@ crpi-cd5ij4pjt65mweeo.cn-beijing.personal.cr.aliyuncs.com/ai-clinical/backend-se
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@@ -684,3 +684,4 @@ docker login --username=gofeng117@163.com \
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@@ -493,5 +493,6 @@ NAT网关成本¥100/月,对初创团队是一笔开销
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