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feat(iit): Implement real-time quality control system

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Summary:

- Add 4 new database tables: iit_field_metadata, iit_qc_logs, iit_record_summary, iit_qc_project_stats

- Implement pg-boss debounce mechanism in WebhookController

- Refactor QC Worker for dual output: QC logs + record summary

- Enhance HardRuleEngine to support form-based rule filtering

- Create QcService for QC data queries

- Optimize ChatService with new intents: query_enrollment, query_qc_status

- Add admin batch operations: one-click full QC + one-click full summary

- Create IIT Admin management module: project config, QC rules, user mapping

Status: Code complete, pending end-to-end testing
Co-authored-by: Cursor <cursoragent@cursor.com>
This commit is contained in:
HaHafeng
2026-02-07 21:56:11 +08:00
parent 0c590854b5
commit 5db4a7064c
74 changed files with 13383 additions and 2129 deletions
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71
backend/prisma/migrations/manual/ekb_create_indexes.sql
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@@ -1,71 +0,0 @@
-- ============================================================
-- EKB Schema 索引创建脚本
-- 执行时机：prisma migrate 之后手动执行
-- 参考文档：docs/02-通用能力层/03-RAG引擎/04-数据模型设计.md
-- ============================================================
-- 1. 确保 pgvector 扩展已启用
CREATE EXTENSION IF NOT EXISTS vector;
-- 2. 确保 pg_bigm 扩展已启用（中文关键词检索）
CREATE EXTENSION IF NOT EXISTS pg_bigm;
-- ===== MVP 阶段必须创建 =====
-- 3. HNSW 向量索引（语义检索核心）
-- 参数说明：m=16 每层最大连接数，ef_construction=64 构建时搜索范围
CREATE INDEX IF NOT EXISTS idx_ekb_chunk_embedding
ON "ekb_schema"."ekb_chunk"
USING hnsw (embedding vector_cosine_ops)
WITH (m = 16, ef_construction = 64);
-- ===== Phase 2 阶段使用（可预创建）=====
-- 4. pg_bigm 中文关键词索引
CREATE INDEX IF NOT EXISTS idx_ekb_chunk_content_bigm
ON "ekb_schema"."ekb_chunk"
USING gin (content gin_bigm_ops);
-- 5. 文档摘要关键词索引
CREATE INDEX IF NOT EXISTS idx_ekb_doc_summary_bigm
ON "ekb_schema"."ekb_document"
USING gin (summary gin_bigm_ops);
-- 6. 全文内容关键词索引
CREATE INDEX IF NOT EXISTS idx_ekb_doc_text_bigm
ON "ekb_schema"."ekb_document"
USING gin (extracted_text gin_bigm_ops);
-- ===== Phase 3 阶段使用（可预创建）=====
-- 7. JSONB GIN 索引（metadata 查询加速）
CREATE INDEX IF NOT EXISTS idx_ekb_doc_metadata_gin
ON "ekb_schema"."ekb_document"
USING gin (metadata jsonb_path_ops);
-- 8. JSONB GIN 索引（structuredData 查询加速）
CREATE INDEX IF NOT EXISTS idx_ekb_doc_structured_gin
ON "ekb_schema"."ekb_document"
USING gin (structured_data jsonb_path_ops);
-- 9. 标签数组索引
CREATE INDEX IF NOT EXISTS idx_ekb_doc_tags_gin
ON "ekb_schema"."ekb_document"
USING gin (tags);
-- 10. 切片元数据索引
CREATE INDEX IF NOT EXISTS idx_ekb_chunk_metadata_gin
ON "ekb_schema"."ekb_chunk"
USING gin (metadata jsonb_path_ops);
-- ===== 验证索引创建 =====
-- SELECT indexname, indexdef FROM pg_indexes WHERE schemaname = 'ekb_schema';

38
backend/prisma/migrations/manual/ekb_create_indexes_mvp.sql
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@@ -1,38 +0,0 @@
-- ============================================================
-- EKB Schema MVP 索引创建脚本
-- 执行时机：prisma db push 之后手动执行
-- 说明：MVP 阶段只创建 HNSW 向量索引，pg_bigm 索引在 Phase 2 创建
-- ============================================================
-- 1. 确保 pgvector 扩展已启用
CREATE EXTENSION IF NOT EXISTS vector;
-- 2. HNSW 向量索引（语义检索核心）
-- 参数说明：m=16 每层最大连接数，ef_construction=64 构建时搜索范围
CREATE INDEX IF NOT EXISTS idx_ekb_chunk_embedding
ON "ekb_schema"."ekb_chunk"
USING hnsw (embedding vector_cosine_ops)
WITH (m = 16, ef_construction = 64);
-- 3. JSONB GIN 索引（可选，提升查询性能）
CREATE INDEX IF NOT EXISTS idx_ekb_doc_metadata_gin
ON "ekb_schema"."ekb_document"
USING gin (metadata jsonb_path_ops);
CREATE INDEX IF NOT EXISTS idx_ekb_doc_structured_gin
ON "ekb_schema"."ekb_document"
USING gin (structured_data jsonb_path_ops);
-- 4. 标签数组索引
CREATE INDEX IF NOT EXISTS idx_ekb_doc_tags_gin
ON "ekb_schema"."ekb_document"
USING gin (tags);