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507 lines
29 KiB
507 lines
29 KiB
-- ============================================================
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-- AI 智能客服系统 - 数据库初始化脚本（完整版）
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-- 适用环境: PostgreSQL 12+ 且已安装 pgvector 扩展
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-- 表数量: 14 张（基础 8 张 + P0 阶段新增 6 张）
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--
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-- ⚠️ 开发规范：任何涉及建表、增删改列、初始数据的变更，
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-- 必须同时更新本脚本和 DatabaseInitConfig.java（自动初始化），
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-- 保持两者一致，否则新部署环境会丢失变更。
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--
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-- 使用方法:
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-- 方式一（psql 命令行）:
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-- psql -U postgres -f init-database.sql
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-- 方式二（DataGrip / DBeaver / IntelliJ 等图形工具）:
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-- 先在 postgres 库中执行第 1 步（CREATE DATABASE），
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-- 然后切换到 support_bot 库，注释掉第 1 步，执行剩余部分。
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-- ============================================================
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-- 1. 创建数据库（需在 postgres 默认库下执行）
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-- 如果已在目标库中，注释掉下面这行
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CREATE DATABASE support_bot ENCODING 'UTF8' LC_COLLATE 'en_US.UTF-8' LC_CTYPE 'en_US.UTF-8' TEMPLATE template0;
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-- ============================================================
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-- ★ 第 1 步结束 ★
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-- Navicat / DataGrip / DBeaver 用户：请在此处停止，
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-- 手动切换到 support_bot 数据库，再执行第 2 步及后续 SQL。
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-- ============================================================
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-- 2. 安装必要扩展
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CREATE EXTENSION IF NOT EXISTS "uuid-ossp";
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CREATE EXTENSION IF NOT EXISTS vector;
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-- ============================================================
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-- 表 1: chat_message — 聊天消息表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS chat_message (
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id BIGINT PRIMARY KEY,
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conversation_id VARCHAR(64) NOT NULL,
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message_type VARCHAR(20) NOT NULL,
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content TEXT NOT NULL,
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metadata JSONB NOT NULL DEFAULT '{}',
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE,
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CONSTRAINT chk_message_type CHECK (message_type IN ('USER', 'ASSISTANT', 'SYSTEM'))
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);
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CREATE INDEX IF NOT EXISTS idx_chat_message_conversation_id ON chat_message (conversation_id);
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CREATE INDEX IF NOT EXISTS idx_chat_message_create_time ON chat_message (create_time DESC);
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CREATE INDEX IF NOT EXISTS idx_chat_message_type ON chat_message (message_type);
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CREATE INDEX IF NOT EXISTS idx_chat_message_not_deleted ON chat_message (conversation_id) WHERE is_delete = FALSE;
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COMMENT ON TABLE chat_message IS '聊天消息表';
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COMMENT ON COLUMN chat_message.id IS '主键（雪花算法生成）';
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COMMENT ON COLUMN chat_message.conversation_id IS '会话ID';
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COMMENT ON COLUMN chat_message.message_type IS '消息类型: USER / ASSISTANT / SYSTEM';
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COMMENT ON COLUMN chat_message.content IS '消息内容';
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COMMENT ON COLUMN chat_message.metadata IS '元数据（JSON）';
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COMMENT ON COLUMN chat_message.create_time IS '创建时间';
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COMMENT ON COLUMN chat_message.update_time IS '更新时间';
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COMMENT ON COLUMN chat_message.is_delete IS '逻辑删除: FALSE=正常 TRUE=已删除';
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-- ============================================================
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-- 表 2: knowledge_category — 知识库分类表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS knowledge_category (
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id BIGSERIAL PRIMARY KEY,
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name VARCHAR(100) NOT NULL,
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description TEXT,
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parent_id BIGINT NOT NULL DEFAULT 0,
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sort_order INTEGER NOT NULL DEFAULT 0,
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document_count INTEGER NOT NULL DEFAULT 0,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE
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);
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CREATE INDEX IF NOT EXISTS idx_knowledge_category_parent ON knowledge_category (parent_id);
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COMMENT ON TABLE knowledge_category IS '知识库分类表';
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COMMENT ON COLUMN knowledge_category.id IS '主键';
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COMMENT ON COLUMN knowledge_category.name IS '分类名称';
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COMMENT ON COLUMN knowledge_category.description IS '分类描述';
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COMMENT ON COLUMN knowledge_category.parent_id IS '父分类ID（0 表示顶级分类）';
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COMMENT ON COLUMN knowledge_category.sort_order IS '排序权重';
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COMMENT ON COLUMN knowledge_category.document_count IS '关联文档数（冗余字段）';
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COMMENT ON COLUMN knowledge_category.create_time IS '创建时间';
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COMMENT ON COLUMN knowledge_category.is_delete IS '逻辑删除';
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-- ============================================================
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-- 表 3: knowledge_document — 知识文档表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS knowledge_document (
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id BIGSERIAL PRIMARY KEY,
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title VARCHAR(500) NOT NULL,
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source_name VARCHAR(500),
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file_type VARCHAR(20) NOT NULL,
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file_size BIGINT NOT NULL DEFAULT 0,
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content TEXT,
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category_id BIGINT NOT NULL DEFAULT 0,
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tags JSONB NOT NULL DEFAULT '{}',
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chunk_count INTEGER NOT NULL DEFAULT 0,
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status VARCHAR(20) NOT NULL DEFAULT 'PROCESSING',
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error_message TEXT,
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content_hash VARCHAR(64),
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE
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);
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CREATE INDEX IF NOT EXISTS idx_knowledge_document_category ON knowledge_document (category_id);
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CREATE INDEX IF NOT EXISTS idx_knowledge_document_status ON knowledge_document (status);
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CREATE INDEX IF NOT EXISTS idx_knowledge_document_create_time ON knowledge_document (create_time DESC);
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CREATE INDEX IF NOT EXISTS idx_knowledge_document_content_hash ON knowledge_document (content_hash);
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COMMENT ON TABLE knowledge_document IS '知识文档表';
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COMMENT ON COLUMN knowledge_document.id IS '主键';
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COMMENT ON COLUMN knowledge_document.title IS '文档标题';
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COMMENT ON COLUMN knowledge_document.source_name IS '原始文件名';
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COMMENT ON COLUMN knowledge_document.file_type IS '文件类型';
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COMMENT ON COLUMN knowledge_document.file_size IS '文件大小（字节）';
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COMMENT ON COLUMN knowledge_document.content IS '原文内容（截断预览）';
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COMMENT ON COLUMN knowledge_document.category_id IS '所属分类ID';
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COMMENT ON COLUMN knowledge_document.tags IS '标签（JSON）';
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COMMENT ON COLUMN knowledge_document.chunk_count IS '分块数量';
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COMMENT ON COLUMN knowledge_document.status IS '状态: PROCESSING / READY / FAILED';
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COMMENT ON COLUMN knowledge_document.error_message IS '处理失败时的错误信息';
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COMMENT ON COLUMN knowledge_document.content_hash IS '内容SHA-256哈希（用于去重）';
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COMMENT ON COLUMN knowledge_document.create_time IS '创建时间';
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COMMENT ON COLUMN knowledge_document.update_time IS '更新时间';
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COMMENT ON COLUMN knowledge_document.is_delete IS '逻辑删除';
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-- ============================================================
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-- 表 4: customer_service_role — 客服角色表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS customer_service_role (
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id BIGSERIAL PRIMARY KEY,
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role_key VARCHAR(64) NOT NULL UNIQUE,
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name VARCHAR(100) NOT NULL,
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description TEXT,
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prompt TEXT,
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sort_order INTEGER NOT NULL DEFAULT 0,
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enabled BOOLEAN NOT NULL DEFAULT TRUE,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE,
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allowed_mcp_tools JSONB NOT NULL DEFAULT '[]'
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);
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CREATE INDEX IF NOT EXISTS idx_customer_service_role_enabled ON customer_service_role (enabled, sort_order);
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COMMENT ON TABLE customer_service_role IS '客服角色表';
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COMMENT ON COLUMN customer_service_role.id IS '主键';
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COMMENT ON COLUMN customer_service_role.role_key IS '角色标识符（唯一）';
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COMMENT ON COLUMN customer_service_role.name IS '角色名称';
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COMMENT ON COLUMN customer_service_role.description IS '角色描述';
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COMMENT ON COLUMN customer_service_role.prompt IS '系统提示词';
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COMMENT ON COLUMN customer_service_role.sort_order IS '排序权重';
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COMMENT ON COLUMN customer_service_role.enabled IS '是否启用';
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COMMENT ON COLUMN customer_service_role.create_time IS '创建时间';
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COMMENT ON COLUMN customer_service_role.update_time IS '更新时间';
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COMMENT ON COLUMN customer_service_role.is_delete IS '逻辑删除';
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COMMENT ON COLUMN customer_service_role.allowed_mcp_tools IS '允许使用的 MCP 工具列表（JSONB 数组，空=不允许，["*"]=全部允许）';
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-- 默认角色种子数据
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INSERT INTO customer_service_role (role_key, name, description, sort_order, enabled)
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VALUES ('general', '客服', '通用客服角色', 0, TRUE)
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ON CONFLICT (role_key) DO NOTHING;
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INSERT INTO customer_service_role (role_key, name, description, sort_order, enabled)
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VALUES ('finance', '财务', '财务相关客服角色', 1, TRUE)
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ON CONFLICT (role_key) DO NOTHING;
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INSERT INTO customer_service_role (role_key, name, description, sort_order, enabled)
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VALUES ('administration', '行政', '行政相关客服角色', 2, TRUE)
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ON CONFLICT (role_key) DO NOTHING;
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-- ============================================================
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-- 表 5: customer_service_role_category — 角色知识库关联表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS customer_service_role_category (
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id BIGSERIAL PRIMARY KEY,
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role_id BIGINT NOT NULL,
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category_id BIGINT NOT NULL,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE,
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CONSTRAINT uq_role_category UNIQUE (role_id, category_id)
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);
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CREATE INDEX IF NOT EXISTS idx_customer_service_role_category_role ON customer_service_role_category (role_id);
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CREATE INDEX IF NOT EXISTS idx_customer_service_role_category_category ON customer_service_role_category (category_id);
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COMMENT ON TABLE customer_service_role_category IS '客服角色知识库关联表';
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COMMENT ON COLUMN customer_service_role_category.id IS '主键';
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COMMENT ON COLUMN customer_service_role_category.role_id IS '角色ID';
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COMMENT ON COLUMN customer_service_role_category.category_id IS '分类ID';
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COMMENT ON COLUMN customer_service_role_category.create_time IS '创建时间';
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COMMENT ON COLUMN customer_service_role_category.is_delete IS '逻辑删除';
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-- ============================================================
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-- 表 6: customer_account — 客服账号表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS customer_account (
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id BIGSERIAL PRIMARY KEY,
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account_key VARCHAR(64) NOT NULL UNIQUE,
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name VARCHAR(100) NOT NULL,
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description TEXT,
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role_id BIGINT,
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enabled BOOLEAN NOT NULL DEFAULT TRUE,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE
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);
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CREATE INDEX IF NOT EXISTS idx_customer_account_role ON customer_account (role_id);
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CREATE INDEX IF NOT EXISTS idx_customer_account_enabled ON customer_account (enabled, id);
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COMMENT ON TABLE customer_account IS '客服账号表';
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COMMENT ON COLUMN customer_account.id IS '主键';
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COMMENT ON COLUMN customer_account.account_key IS '账号标识符（唯一）';
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COMMENT ON COLUMN customer_account.name IS '账号名称';
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COMMENT ON COLUMN customer_account.description IS '账号描述';
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COMMENT ON COLUMN customer_account.role_id IS '关联角色ID';
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COMMENT ON COLUMN customer_account.enabled IS '是否启用';
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COMMENT ON COLUMN customer_account.create_time IS '创建时间';
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COMMENT ON COLUMN customer_account.update_time IS '更新时间';
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COMMENT ON COLUMN customer_account.is_delete IS '逻辑删除';
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-- 默认账号种子数据（引用角色表的 ID）
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INSERT INTO customer_account (account_key, name, description, role_id, enabled)
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SELECT 'service', '客服账号', '通用客服账号', id, TRUE
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FROM customer_service_role WHERE role_key = 'general'
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ON CONFLICT (account_key) DO NOTHING;
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INSERT INTO customer_account (account_key, name, description, role_id, enabled)
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SELECT 'finance', '财务账号', '财务客服账号', id, TRUE
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FROM customer_service_role WHERE role_key = 'finance'
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ON CONFLICT (account_key) DO NOTHING;
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INSERT INTO customer_account (account_key, name, description, role_id, enabled)
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SELECT 'administration', '行政账号', '行政客服账号', id, TRUE
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FROM customer_service_role WHERE role_key = 'administration'
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ON CONFLICT (account_key) DO NOTHING;
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-- ============================================================
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-- 表 7: conversation_session — 会话归属表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS conversation_session (
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conversation_id VARCHAR(64) PRIMARY KEY,
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account_id BIGINT,
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external_account_id VARCHAR(128),
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role_id BIGINT,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
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);
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CREATE INDEX IF NOT EXISTS idx_conversation_session_account ON conversation_session (account_id);
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CREATE INDEX IF NOT EXISTS idx_conversation_session_external_account ON conversation_session (external_account_id);
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CREATE INDEX IF NOT EXISTS idx_conversation_session_role ON conversation_session (role_id);
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COMMENT ON TABLE conversation_session IS '会话归属表';
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COMMENT ON COLUMN conversation_session.conversation_id IS '会话ID（主键）';
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COMMENT ON COLUMN conversation_session.account_id IS '归属账号ID';
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COMMENT ON COLUMN conversation_session.role_id IS '归属角色ID';
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COMMENT ON COLUMN conversation_session.create_time IS '创建时间';
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COMMENT ON COLUMN conversation_session.update_time IS '更新时间';
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-- ============================================================
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-- 表 8: vector_store — 向量存储表
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-- 注意: Spring AI PgVectorStore 配置了 initializeSchema(true)，
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-- 应用启动时会自动建表。此处手动建表作为备份方案。
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-- 向量维度默认 1024，如使用不同维度的 Embedding 模型
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-- 需修改下面的 VECTOR(1024) 并重建。
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-- ============================================================
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CREATE TABLE IF NOT EXISTS vector_store (
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id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
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content TEXT NOT NULL,
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metadata JSONB NOT NULL DEFAULT '{}',
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embedding VECTOR(1024) NOT NULL,
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
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);
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-- HNSW 向量索引（余弦距离）
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CREATE INDEX IF NOT EXISTS idx_vector_store_embedding ON vector_store
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USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64);
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CREATE INDEX IF NOT EXISTS idx_vector_store_create_time ON vector_store (create_time DESC);
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-- JSONB 元数据 GIN 索引
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CREATE INDEX IF NOT EXISTS idx_vector_store_metadata ON vector_store USING gin (metadata);
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COMMENT ON TABLE vector_store IS '向量存储表（RAG 知识库向量化数据）';
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COMMENT ON COLUMN vector_store.id IS '主键（UUID）';
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COMMENT ON COLUMN vector_store.content IS '文档内容';
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COMMENT ON COLUMN vector_store.metadata IS '元数据（JSON）';
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COMMENT ON COLUMN vector_store.embedding IS '向量嵌入（维度 1024）';
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COMMENT ON COLUMN vector_store.create_time IS '创建时间';
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COMMENT ON COLUMN vector_store.update_time IS '更新时间';
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-- 全文检索列（混合检索 KEYWORD / HYBRID 模式使用）
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ALTER TABLE vector_store ADD COLUMN IF NOT EXISTS content_tsvector tsvector;
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CREATE INDEX IF NOT EXISTS idx_vector_store_tsvector ON vector_store USING gin(content_tsvector);
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COMMENT ON COLUMN vector_store.content_tsvector IS '全文检索向量列（tsvector，由触发器自动维护）';
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-- 全文检索触发器函数
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CREATE OR REPLACE FUNCTION update_content_tsvector() RETURNS trigger AS $$
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BEGIN
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NEW.content_tsvector := to_tsvector('simple', coalesce(NEW.content, ''));
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RETURN NEW;
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END;
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$$ LANGUAGE plpgsql;
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DROP TRIGGER IF EXISTS trg_update_content_tsvector ON vector_store;
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CREATE TRIGGER trg_update_content_tsvector
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BEFORE INSERT OR UPDATE ON vector_store
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FOR EACH ROW EXECUTE FUNCTION update_content_tsvector();
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-- ============================================================
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-- 表 9: ai_model_config — AI 大模型配置表
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-- ============================================================
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CREATE TABLE IF NOT EXISTS ai_model_config (
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id BIGINT PRIMARY KEY,
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name VARCHAR(100) NOT NULL,
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app_type VARCHAR(32) NOT NULL,
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provider VARCHAR(64) NOT NULL,
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api_key VARCHAR(256),
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model_name VARCHAR(128) NOT NULL,
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temperature DOUBLE PRECISION DEFAULT 0.7,
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max_tokens INTEGER DEFAULT 2048,
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base_url VARCHAR(256),
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extra_config JSONB DEFAULT '{}' NOT NULL,
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is_active BOOLEAN DEFAULT FALSE NOT NULL,
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priority INTEGER DEFAULT 0 NOT NULL,
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description VARCHAR(500),
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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is_delete BOOLEAN NOT NULL DEFAULT FALSE
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);
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CREATE INDEX IF NOT EXISTS idx_ai_model_config_app_type ON ai_model_config (app_type);
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CREATE INDEX IF NOT EXISTS idx_ai_model_config_active ON ai_model_config (is_active) WHERE is_delete = FALSE;
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COMMENT ON TABLE ai_model_config IS 'AI 大模型配置表（管理多套模型配置，按应用类型绑定）';
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COMMENT ON COLUMN ai_model_config.id IS '主键（雪花算法生成）';
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COMMENT ON COLUMN ai_model_config.name IS '配置名称';
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COMMENT ON COLUMN ai_model_config.app_type IS '应用类型: CHAT / EMBEDDING / RAG_REWRITE / RERANK';
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COMMENT ON COLUMN ai_model_config.provider IS '模型提供商: dashscope / openai / deepseek / moonshot / zhipu / volcengine 等';
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COMMENT ON COLUMN ai_model_config.api_key IS 'API Key（数据库加密存储，前端脱敏展示）';
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COMMENT ON COLUMN ai_model_config.model_name IS '模型名称（如 qwen-turbo、gpt-4o）';
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COMMENT ON COLUMN ai_model_config.temperature IS '温度参数（控制输出随机性，0.0~2.0）';
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COMMENT ON COLUMN ai_model_config.max_tokens IS '最大 Token 数（单次生成上限）';
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COMMENT ON COLUMN ai_model_config.base_url IS 'API 基础地址（可选，用于私有化部署或第三方厂商）';
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COMMENT ON COLUMN ai_model_config.extra_config IS '扩展配置（JSONB，存储 topP、dimensions 等自定义参数）';
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COMMENT ON COLUMN ai_model_config.is_active IS '是否激活（每种 App 类型只能有一个激活配置）';
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COMMENT ON COLUMN ai_model_config.priority IS '优先级（数值越大越优先，多套配置时生效）';
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COMMENT ON COLUMN ai_model_config.description IS '配置描述说明';
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COMMENT ON COLUMN ai_model_config.create_time IS '创建时间';
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COMMENT ON COLUMN ai_model_config.update_time IS '更新时间';
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COMMENT ON COLUMN ai_model_config.is_delete IS '逻辑删除: FALSE=正常 TRUE=已删除';
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-- ============================================================
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-- 表 10: sensitive_word — 敏感词表（P0-004 内容安全过滤）
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-- ============================================================
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CREATE TABLE IF NOT EXISTS sensitive_word (
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id BIGSERIAL PRIMARY KEY,
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word VARCHAR(256) NOT NULL,
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category VARCHAR(64) NOT NULL DEFAULT 'custom',
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level INTEGER NOT NULL DEFAULT 1,
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|
is_active BOOLEAN NOT NULL DEFAULT TRUE,
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|
remark VARCHAR(512),
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create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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|
is_delete BOOLEAN NOT NULL DEFAULT FALSE
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);
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-- 唯一索引：同一分类下敏感词不重复（仅对未删除记录生效）
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CREATE UNIQUE INDEX IF NOT EXISTS uk_sensitive_word_word_category ON sensitive_word (word, category) WHERE is_delete = FALSE;
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CREATE INDEX IF NOT EXISTS idx_sensitive_word_active ON sensitive_word (is_active) WHERE is_delete = FALSE;
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COMMENT ON TABLE sensitive_word IS '敏感词表（DFA 引擎驱动的内容安全过滤）';
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COMMENT ON COLUMN sensitive_word.id IS '主键（雪花算法生成）';
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COMMENT ON COLUMN sensitive_word.word IS '敏感词内容';
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COMMENT ON COLUMN sensitive_word.category IS '分类: politics / porn / abuse / custom，默认 custom';
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COMMENT ON COLUMN sensitive_word.level IS '级别: 1=脱敏(MASK) / 2=拦截(BLOCK)';
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COMMENT ON COLUMN sensitive_word.is_active IS '是否启用';
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COMMENT ON COLUMN sensitive_word.remark IS '备注说明';
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COMMENT ON COLUMN sensitive_word.create_time IS '创建时间';
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COMMENT ON COLUMN sensitive_word.update_time IS '更新时间';
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COMMENT ON COLUMN sensitive_word.is_delete IS '逻辑删除: FALSE=正常 TRUE=已删除';
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|
|
|
-- ============================================================
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-- 表 11: content_audit_log — 内容审计日志表（P0-004，只追加不删除）
|
|
-- ============================================================
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CREATE TABLE IF NOT EXISTS content_audit_log (
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id BIGSERIAL PRIMARY KEY,
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session_id VARCHAR(64),
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|
direction VARCHAR(16) NOT NULL,
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|
original_text TEXT NOT NULL,
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|
hit_words JSONB NOT NULL DEFAULT '[]',
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|
action_taken VARCHAR(32) NOT NULL,
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|
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
|
|
);
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|
|
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CREATE INDEX IF NOT EXISTS idx_audit_log_created ON content_audit_log (create_time DESC);
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CREATE INDEX IF NOT EXISTS idx_audit_log_session ON content_audit_log (session_id);
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|
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COMMENT ON TABLE content_audit_log IS '内容审计日志表（记录所有敏感词命中事件，只追加不删除）';
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COMMENT ON COLUMN content_audit_log.id IS '主键（雪花算法生成）';
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|
COMMENT ON COLUMN content_audit_log.session_id IS '会话ID（关联 conversation_session）';
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COMMENT ON COLUMN content_audit_log.direction IS '检测方向: INPUT(用户输入) / OUTPUT(AI 输出)';
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|
COMMENT ON COLUMN content_audit_log.original_text IS '原始违规内容（截断至前 50 字）';
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|
COMMENT ON COLUMN content_audit_log.hit_words IS '命中词列表（JSON 数组，记录触发的敏感词）';
|
|
COMMENT ON COLUMN content_audit_log.action_taken IS '采取的动作: PASS(放行) / MASK(脱敏) / BLOCK(拦截)';
|
|
COMMENT ON COLUMN content_audit_log.create_time IS '创建时间（事件发生时间）';
|
|
|
|
-- ============================================================
|
|
-- 表 12: message_feedback — 消息反馈表（P0-002 用户反馈系统）
|
|
-- ============================================================
|
|
CREATE TABLE IF NOT EXISTS message_feedback (
|
|
id BIGSERIAL PRIMARY KEY,
|
|
message_id VARCHAR(128) NOT NULL,
|
|
conversation_id VARCHAR(64) NOT NULL,
|
|
feedback_type VARCHAR(16) NOT NULL,
|
|
reason_category VARCHAR(64),
|
|
reason_comment TEXT,
|
|
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
|
update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
|
is_delete BOOLEAN NOT NULL DEFAULT FALSE
|
|
);
|
|
|
|
-- 唯一索引：每条消息只能有一条反馈（重复提交覆盖，upsert 语义）
|
|
CREATE UNIQUE INDEX IF NOT EXISTS uk_message_feedback_message ON message_feedback (message_id) WHERE is_delete = FALSE;
|
|
CREATE INDEX IF NOT EXISTS idx_feedback_conversation ON message_feedback (conversation_id);
|
|
CREATE INDEX IF NOT EXISTS idx_feedback_type ON message_feedback (feedback_type) WHERE is_delete = FALSE;
|
|
CREATE INDEX IF NOT EXISTS idx_feedback_created ON message_feedback (create_time DESC);
|
|
|
|
COMMENT ON TABLE message_feedback IS '消息反馈表（用户对 AI 回复的点赞/点踩反馈）';
|
|
COMMENT ON COLUMN message_feedback.id IS '主键（雪花算法生成）';
|
|
COMMENT ON COLUMN message_feedback.message_id IS 'AI 消息ID（前端 msgId 或 UUID，唯一索引字段）';
|
|
COMMENT ON COLUMN message_feedback.conversation_id IS '会话ID（关联 chat_message）';
|
|
COMMENT ON COLUMN message_feedback.feedback_type IS '反馈类型: THUMBS_UP(有帮助) / THUMBS_DOWN(没帮助)';
|
|
COMMENT ON COLUMN message_feedback.reason_category IS '点踩原因分类: inaccurate / irrelevant / incomplete / other（仅 THUMBS_DOWN 时可选）';
|
|
COMMENT ON COLUMN message_feedback.reason_comment IS '自由文本补充说明（可选）';
|
|
COMMENT ON COLUMN message_feedback.create_time IS '创建时间';
|
|
COMMENT ON COLUMN message_feedback.update_time IS '更新时间（重复提交时覆盖）';
|
|
COMMENT ON COLUMN message_feedback.is_delete IS '逻辑删除: FALSE=正常 TRUE=已删除';
|
|
|
|
-- ============================================================
|
|
-- 表 13: knowledge_faq — FAQ 知识库表（P0-003 意图识别 + FAQ 精准匹配）
|
|
-- ============================================================
|
|
CREATE TABLE IF NOT EXISTS knowledge_faq (
|
|
id BIGSERIAL PRIMARY KEY,
|
|
question TEXT NOT NULL,
|
|
answer TEXT NOT NULL,
|
|
similar_questions TEXT NOT NULL DEFAULT '[]',
|
|
category VARCHAR(128),
|
|
status VARCHAR(20) NOT NULL DEFAULT 'ENABLED',
|
|
priority INTEGER NOT NULL DEFAULT 0,
|
|
hit_count BIGINT NOT NULL DEFAULT 0,
|
|
source VARCHAR(64) DEFAULT 'manual',
|
|
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
|
update_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
|
|
is_delete BOOLEAN NOT NULL DEFAULT FALSE
|
|
);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_faq_status ON knowledge_faq (status) WHERE is_delete = FALSE;
|
|
CREATE INDEX IF NOT EXISTS idx_faq_category ON knowledge_faq (category);
|
|
CREATE INDEX IF NOT EXISTS idx_faq_priority ON knowledge_faq (priority DESC);
|
|
|
|
COMMENT ON TABLE knowledge_faq IS 'FAQ 知识库表（用于意图路由后的精准问答匹配）';
|
|
COMMENT ON COLUMN knowledge_faq.id IS '主键（雪花算法生成）';
|
|
COMMENT ON COLUMN knowledge_faq.question IS '标准问题';
|
|
COMMENT ON COLUMN knowledge_faq.answer IS '标准答案';
|
|
COMMENT ON COLUMN knowledge_faq.similar_questions IS '相似问题列表（JSON 字符串数组，用于扩展匹配范围）';
|
|
COMMENT ON COLUMN knowledge_faq.category IS 'FAQ 分类';
|
|
COMMENT ON COLUMN knowledge_faq.status IS '状态: ENABLED(启用) / DISABLED(禁用)';
|
|
COMMENT ON COLUMN knowledge_faq.priority IS '优先级（数值越大越优先匹配，默认 0）';
|
|
COMMENT ON COLUMN knowledge_faq.hit_count IS '命中次数统计（用于分析高频问题）';
|
|
COMMENT ON COLUMN knowledge_faq.source IS '来源: manual(手动录入) / import(批量导入)';
|
|
COMMENT ON COLUMN knowledge_faq.create_time IS '创建时间';
|
|
COMMENT ON COLUMN knowledge_faq.update_time IS '更新时间';
|
|
COMMENT ON COLUMN knowledge_faq.is_delete IS '逻辑删除: FALSE=正常 TRUE=已删除';
|
|
|
|
-- ============================================================
|
|
-- 表 14: faq_embedding — FAQ 向量索引表（P0-003，FAQ 语义匹配用）
|
|
-- ============================================================
|
|
CREATE TABLE IF NOT EXISTS faq_embedding (
|
|
id BIGSERIAL PRIMARY KEY,
|
|
faq_id BIGINT NOT NULL,
|
|
embedding vector(1024) NOT NULL,
|
|
model_name VARCHAR(64) NOT NULL,
|
|
create_time TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP
|
|
);
|
|
|
|
CREATE INDEX IF NOT EXISTS idx_faq_emb_faq_id ON faq_embedding (faq_id);
|
|
|
|
COMMENT ON TABLE faq_embedding IS 'FAQ 向量索引表（存储 FAQ 的语义向量，用于相似问题语义匹配）';
|
|
COMMENT ON COLUMN faq_embedding.id IS '主键';
|
|
COMMENT ON COLUMN faq_embedding.faq_id IS '关联 FAQ ID（对应 knowledge_faq.id）';
|
|
COMMENT ON COLUMN faq_embedding.embedding IS '向量嵌入（维度由 knowledge.vector.dimension 配置，默认 1024）';
|
|
COMMENT ON COLUMN faq_embedding.model_name IS '使用的 Embedding 模型名称（用于检测模型变更后重新计算）';
|
|
COMMENT ON COLUMN faq_embedding.create_time IS '创建时间';
|
|
|
|
-- ============================================================
|
|
-- 完成！
|
|
-- 共创建 14 张表及对应索引。
|
|
-- ============================================================
|