193 lines
9.6 KiB
SQL
193 lines
9.6 KiB
SQL
-- ============================================================
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-- Sentinel Home AI - 数据库 DDL
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-- 版本: v1.0
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-- 日期: 2026-08-19
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-- 数据库: MariaDB (MySQL 兼容)
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-- ============================================================
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-- 创建数据库（如不存在）
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CREATE DATABASE IF NOT EXISTS sentinel_home_ai
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CHARACTER SET utf8mb4
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COLLATE utf8mb4_unicode_ci;
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USE sentinel_home_ai;
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-- ============================================================
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-- 1. 任务表 process_tasks
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-- ============================================================
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CREATE TABLE IF NOT EXISTS process_tasks (
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task_id INT AUTO_INCREMENT PRIMARY KEY,
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video_path VARCHAR(500) NOT NULL COMMENT '视频在 NAS 上的绝对路径',
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video_url VARCHAR(500) NOT NULL COMMENT 'Video-Server 提供的下载 URL',
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status ENUM('PENDING','PROCESSING','SUCCESS','FAILED') DEFAULT 'PENDING',
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retry_count INT DEFAULT 0,
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max_retries INT DEFAULT 3,
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next_retry_at DATETIME NULL COMMENT '下次重试时间（退避策略）',
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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error_message TEXT NULL,
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failure_stage ENUM('download','extract','vlm_visual','vlm_fusion','callback','process') NULL COMMENT '失败阶段（process=Edge 消费者处理异常）',
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heartbeat_at DATETIME NULL COMMENT '心跳时间戳（首期预留，不写入）',
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INDEX idx_status (status),
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INDEX idx_created (created_at),
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INDEX idx_next_retry (next_retry_at)
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) ENGINE=InnoDB COMMENT='视频分析任务表';
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-- ============================================================
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-- 2. 事件表 monitor_events
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-- ============================================================
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CREATE TABLE IF NOT EXISTS monitor_events (
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event_id INT AUTO_INCREMENT PRIMARY KEY,
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task_id INT NOT NULL,
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event_start_time DATETIME NOT NULL COMMENT '事件开始时间',
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event_end_time DATETIME NOT NULL COMMENT '事件结束时间',
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camera_name VARCHAR(50) COMMENT '摄像头名称/位置',
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global_summary TEXT COMMENT 'VLM 生成的整体摘要',
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entities_json JSON NOT NULL COMMENT '实体列表 JSON 数组',
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compute_provider JSON NOT NULL COMMENT '模型来源数组，如 ["ollama","gemini"]',
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_event_start (event_start_time),
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INDEX idx_compute_provider (compute_provider),
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FOREIGN KEY (task_id) REFERENCES process_tasks(task_id) ON DELETE CASCADE
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) ENGINE=InnoDB COMMENT='监控事件聚合表';
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-- ============================================================
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-- 3. 每日摘要表 daily_summaries（预留）
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-- ============================================================
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CREATE TABLE IF NOT EXISTS daily_summaries (
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id INT AUTO_INCREMENT PRIMARY KEY,
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target_date DATE NOT NULL UNIQUE COMMENT '目标日期',
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summary_text TEXT COMMENT '当日摘要文本',
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP
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) ENGINE=InnoDB COMMENT='每日摘要表（首期预留）';
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-- ============================================================
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-- 4. 事件明细表 event_details
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-- 每关键帧一条，由 VLM 输出 frame_details 拆分落库
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-- ============================================================
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CREATE TABLE IF NOT EXISTS event_details (
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detail_id INT AUTO_INCREMENT PRIMARY KEY,
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event_id INT NOT NULL COMMENT '关联 monitor_events.event_id',
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task_id INT NOT NULL COMMENT '冗余，便于查询',
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frame_index INT NOT NULL COMMENT '关键帧序号（1-8）',
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frame_timestamp DATETIME NOT NULL COMMENT '该帧对应的绝对时间点',
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camera_name VARCHAR(50) COMMENT '摄像头位置（如"客厅"）',
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person VARCHAR(50) NOT NULL COMMENT '成员名或"人物A/B/C"或"未知访客"',
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action VARCHAR(200) NOT NULL COMMENT '动作描述（AI 自由生成，无枚举）',
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clothing VARCHAR(100) COMMENT '衣着描述',
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is_attention_event BOOLEAN DEFAULT FALSE COMMENT 'AI 自行判断是否为关注事件',
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source_providers JSON NOT NULL COMMENT '识别到该明细的模型来源数组',
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_event_id (event_id),
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INDEX idx_frame_timestamp (frame_timestamp),
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INDEX idx_person (person),
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INDEX idx_queried_date (frame_timestamp),
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FOREIGN KEY (event_id) REFERENCES monitor_events(event_id) ON DELETE CASCADE
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) ENGINE=InnoDB COMMENT='事件明细表（每关键帧一条）';
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-- ============================================================
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-- 5. 对话记录表 chat_history
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-- ============================================================
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CREATE TABLE IF NOT EXISTS chat_history (
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chat_id INT AUTO_INCREMENT PRIMARY KEY,
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user_question TEXT NOT NULL COMMENT '用户问题',
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ai_answer TEXT NOT NULL COMMENT 'AI 回答',
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context_summary TEXT COMMENT '问答时使用的上下文摘要',
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queried_date DATE COMMENT '查询的日期范围',
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queried_person VARCHAR(50) COMMENT '查询的人物',
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_created (created_at),
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INDEX idx_queried_date (queried_date),
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INDEX idx_queried_person (queried_person)
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) ENGINE=InnoDB COMMENT='用户与 AI 问答记录表';
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-- ============================================================
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-- 6. 家庭成员表 family_members
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-- 交互式命名：VLM 自动按特征提取"人物A/B/C"，用户命名为真实名字
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-- ============================================================
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CREATE TABLE IF NOT EXISTS family_members (
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member_id INT AUTO_INCREMENT PRIMARY KEY,
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abstract_label VARCHAR(20) NOT NULL UNIQUE COMMENT 'VLM 首次提取的抽象标识，如"人物A"',
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real_name VARCHAR(50) COMMENT '用户命名的真实名字，如"汤圆"；NULL 表示未命名',
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feature_description TEXT COMMENT 'VLM 提取的特征描述',
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first_seen_at DATETIME COMMENT '首次被提取的时间',
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named_at DATETIME NULL COMMENT '用户命名的时间',
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named_by VARCHAR(50) COMMENT '命名人',
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is_active BOOLEAN DEFAULT TRUE,
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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updated_at DATETIME DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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INDEX idx_real_name (real_name),
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INDEX idx_abstract_label (abstract_label),
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INDEX idx_is_active (is_active)
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) ENGINE=InnoDB COMMENT='家庭成员表（交互式命名）';
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-- ============================================================
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-- 7. 甲骨文同步镜像表（新架构 v2，2026-08-21）
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-- NAS 每 30 分钟从甲骨文 FAM-Edge 拉增量，镜像到本地，仅作展示
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-- 字段对齐 Oracle 端 SQLite 库（oracle_db.py）
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-- ============================================================
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-- 7.1 视频会话表（Oracle videos 镜像）
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CREATE TABLE IF NOT EXISTS sync_videos (
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id INT PRIMARY KEY COMMENT 'Oracle videos.id',
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drive_file_id VARCHAR(255) COMMENT 'Google 硬盘文件 ID',
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filename VARCHAR(500) NOT NULL UNIQUE COMMENT '视频文件名（唯一）',
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camera_name VARCHAR(50) COMMENT '摄像头名称/位置',
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duration_sec DOUBLE DEFAULT 0 COMMENT '视频时长（秒）',
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event_start_time VARCHAR(32) COMMENT '视频开始时间（文本）',
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status VARCHAR(20) DEFAULT 'pending' COMMENT 'pending/done/failed',
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summary_json LONGTEXT COMMENT '全局摘要文本',
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events_json LONGTEXT COMMENT '事件列表 JSON 数组（冗余，便于查询）',
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people_json LONGTEXT COMMENT '人物列表 JSON 数组',
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compute_provider VARCHAR(255) COMMENT '模型来源，如 gemini / nvidia',
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created_at VARCHAR(32),
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updated_at VARCHAR(32),
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processed_at VARCHAR(32),
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synced_at DATETIME DEFAULT CURRENT_TIMESTAMP COMMENT '最近一次同步写入时间',
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INDEX idx_processed (processed_at),
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INDEX idx_status (status)
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) ENGINE=InnoDB COMMENT='甲骨文视频会话镜像表';
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-- 7.2 事件明细表（Oracle events 镜像）
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CREATE TABLE IF NOT EXISTS sync_events (
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id INT PRIMARY KEY COMMENT 'Oracle events.id',
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video_id INT NOT NULL COMMENT '关联 sync_videos.id',
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ts VARCHAR(32) COMMENT '事件时间点（文本）',
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description TEXT COMMENT '事件描述',
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person_list_json LONGTEXT COMMENT '涉及人物 JSON 数组（字符串或标签）',
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is_attention_event TINYINT(1) DEFAULT 0 COMMENT 'AI 判断是否为关注事件',
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updated_at VARCHAR(32),
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synced_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_video (video_id),
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INDEX idx_ts (ts)
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) ENGINE=InnoDB COMMENT='甲骨文事件镜像表';
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-- 7.3 人物规范表（Oracle people 镜像）
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CREATE TABLE IF NOT EXISTS sync_people (
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id INT PRIMARY KEY COMMENT 'Oracle people.id',
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label VARCHAR(100) NOT NULL UNIQUE COMMENT '抽象标识，如"人物A"',
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canonical_name VARCHAR(100) COMMENT '规范名（用户命名或 LLM 合并），NULL 表示未命名',
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first_seen VARCHAR(32) COMMENT '首次出现时间',
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appearances INT DEFAULT 0 COMMENT '出现次数',
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source VARCHAR(20) DEFAULT 'llm' COMMENT 'llm / manual（manual 优先不被覆盖）',
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updated_at VARCHAR(32),
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synced_at DATETIME DEFAULT CURRENT_TIMESTAMP,
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INDEX idx_label (label),
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INDEX idx_canonical (canonical_name)
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) ENGINE=InnoDB COMMENT='甲骨文人物规范镜像表';
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-- 7.4 同步游标表
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CREATE TABLE IF NOT EXISTS sync_cursor (
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key VARCHAR(50) PRIMARY KEY,
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value VARCHAR(64) COMMENT '上次成功拉取到的 server_time（ISO 文本）'
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) ENGINE=InnoDB COMMENT='同步游标表';
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-- ============================================================
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-- 验证
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-- ============================================================
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SELECT 'DDL 执行完成' AS message;
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SELECT TABLE_NAME, TABLE_COMMENT
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FROM information_schema.TABLES
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WHERE TABLE_SCHEMA = 'sentinel_home_ai'
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ORDER BY TABLE_NAME;
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