90 lines
4.7 KiB
SQL
90 lines
4.7 KiB
SQL
-- =============================================================================
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-- 迁移：扩展 biz.ai_conversations 和 biz.ai_messages 支持 CHAT 模块
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-- 日期：2026-03-20
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-- 关联 SPEC：rns1-chat-integration（RNS1.4 CHAT 对齐与联调收尾）
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-- 需求：R2.3, R3.8, R3.10, R4.3, R7.5
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-- 说明：
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-- 1. ai_conversations 新增 context_type/context_id（多入口对话复用）、
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-- title/last_message/last_message_at（历史列表展示与排序）
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-- 2. ai_messages 新增 reference_card（引用卡片 JSON）
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-- 3. 两个索引：上下文对话查找 + 历史列表排序
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-- =============================================================================
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-- ---------------------------------------------------------------------------
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-- 1. 扩展 ai_conversations：新增 5 个字段
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-- ---------------------------------------------------------------------------
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ALTER TABLE biz.ai_conversations
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ADD COLUMN IF NOT EXISTS context_type varchar(20),
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ADD COLUMN IF NOT EXISTS context_id varchar(50),
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ADD COLUMN IF NOT EXISTS title varchar(200),
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ADD COLUMN IF NOT EXISTS last_message text,
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ADD COLUMN IF NOT EXISTS last_message_at timestamptz;
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COMMENT ON COLUMN biz.ai_conversations.context_type
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IS '对话关联上下文类型：task（任务）/ customer（客户）/ coach（助教）/ general（通用）';
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COMMENT ON COLUMN biz.ai_conversations.context_id
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IS '关联上下文 ID：task 入口为 taskId，customer 入口为 customerId，coach 入口为 coachId，general 为 NULL';
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COMMENT ON COLUMN biz.ai_conversations.title
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IS '对话标题：自定义 > 上下文名称 > 首条消息前20字';
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COMMENT ON COLUMN biz.ai_conversations.last_message
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IS '最后一条消息内容摘要（截断至100字）';
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COMMENT ON COLUMN biz.ai_conversations.last_message_at
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IS '最后消息时间，用于历史列表排序和对话复用时限判断';
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-- ---------------------------------------------------------------------------
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-- 2. 扩展 ai_messages：新增 reference_card 字段
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-- ---------------------------------------------------------------------------
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ALTER TABLE biz.ai_messages
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ADD COLUMN IF NOT EXISTS reference_card jsonb;
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COMMENT ON COLUMN biz.ai_messages.reference_card
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IS 'referenceCard JSON：{type, title, summary, data}';
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-- ---------------------------------------------------------------------------
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-- 3. 索引：上下文对话查找（按 context_type + context_id 查找可复用对话）
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-- ---------------------------------------------------------------------------
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CREATE INDEX IF NOT EXISTS idx_ai_conv_context
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ON biz.ai_conversations (user_id, site_id, context_type, context_id, last_message_at DESC NULLS LAST)
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WHERE context_type IS NOT NULL;
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-- ---------------------------------------------------------------------------
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-- 4. 索引：历史列表排序优化（CHAT-1: 按 last_message_at 倒序）
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-- ---------------------------------------------------------------------------
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CREATE INDEX IF NOT EXISTS idx_ai_conv_last_msg
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ON biz.ai_conversations (user_id, site_id, last_message_at DESC NULLS LAST);
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-- =============================================================================
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-- 回滚
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-- =============================================================================
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-- DROP INDEX IF EXISTS biz.idx_ai_conv_context;
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-- DROP INDEX IF EXISTS biz.idx_ai_conv_last_msg;
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-- ALTER TABLE biz.ai_messages DROP COLUMN IF EXISTS reference_card;
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-- ALTER TABLE biz.ai_conversations DROP COLUMN IF EXISTS last_message_at;
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-- ALTER TABLE biz.ai_conversations DROP COLUMN IF EXISTS last_message;
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-- ALTER TABLE biz.ai_conversations DROP COLUMN IF EXISTS title;
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-- ALTER TABLE biz.ai_conversations DROP COLUMN IF EXISTS context_id;
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-- ALTER TABLE biz.ai_conversations DROP COLUMN IF EXISTS context_type;
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-- =============================================================================
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-- 验证
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-- =============================================================================
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-- 1) ai_conversations 新字段存在性
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-- SELECT column_name, data_type, character_maximum_length
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-- FROM information_schema.columns
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-- WHERE table_schema = 'biz' AND table_name = 'ai_conversations'
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-- AND column_name IN ('context_type','context_id','title','last_message','last_message_at');
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-- 预期：5 行
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-- 2) ai_messages 新字段存在性
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-- SELECT column_name, data_type
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-- FROM information_schema.columns
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-- WHERE table_schema = 'biz' AND table_name = 'ai_messages'
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-- AND column_name = 'reference_card';
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-- 预期：1 行，jsonb
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-- 3) 索引存在性
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-- SELECT indexname FROM pg_indexes
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-- WHERE schemaname = 'biz' AND tablename = 'ai_conversations'
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-- AND indexname IN ('idx_ai_conv_context','idx_ai_conv_last_msg');
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-- 预期：2 行
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