Platform Infrastructure - 8 Core Modules Completed: - Storage Service (LocalAdapter + OSSAdapter stub) - Logging System (Winston + JSON format) - Cache Service (MemoryCache + Redis stub) - Async Job Queue (MemoryQueue + DatabaseQueue stub) - Health Check Endpoints (liveness/readiness/detailed) - Database Connection Pool (with Serverless optimization) - Environment Configuration Management - Monitoring Metrics (DB connections/memory/API) Key Features: - Adapter Pattern for zero-code environment switching - Full backward compatibility with legacy modules - 100% test coverage (all 8 modules verified) - Complete documentation (11 docs updated) Technical Improvements: - Fixed duplicate /health route registration issue - Fixed TypeScript interface export (export type) - Installed winston dependency - Added structured logging with context support - Implemented graceful shutdown for Serverless - Added connection pool optimization for SAE Documentation Updates: - Platform infrastructure planning (04-骞冲彴鍩虹璁炬柦瑙勫垝.md) - Implementation report (2025-11-17-骞冲彴鍩虹璁炬柦瀹炴柦瀹屾垚鎶ュ憡.md) - Verification report (2025-11-17-骞冲彴鍩虹璁炬柦楠岃瘉鎶ュ憡.md) - Git commit guidelines (06-Git鎻愪氦瑙勮寖.md) - Added commit frequency rules - Updated 3 core architecture documents Code Statistics: - New code: 2,532 lines - New files: 22 - Updated files: 130+ - Test pass rate: 100% (8/8 modules) Deployment Readiness: - Local environment: 鉁?Ready - Cloud environment: 馃攧 Needs OSS/Redis dependencies Next Steps: - Ready to start ASL module development - Can directly use storage/logger/cache/jobQueue Tested: Local verification 100% passed Related: #Platform-Infrastructure
149 lines
4.6 KiB
PL/PgSQL
149 lines
4.6 KiB
PL/PgSQL
-- ========================================
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-- 002-migrate-platform.sql
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-- ========================================
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-- 目的:迁移platform_schema(用户表)
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-- 迁移表:1个(users)
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-- 预计时间:15分钟
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-- 作者:AI助手
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-- 日期:2025-11-09
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-- ========================================
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-- 前置条件:
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-- 1. 已执行 001-create-all-10-schemas.sql
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-- 2. public.users 表存在且有数据
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BEGIN;
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-- ========================================
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-- 第一步:创建platform_schema.users表
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-- ========================================
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CREATE TABLE IF NOT EXISTS platform_schema.users (
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id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
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email VARCHAR(255) UNIQUE NOT NULL,
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password VARCHAR(255) NOT NULL,
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name VARCHAR(255),
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avatar_url VARCHAR(500),
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role VARCHAR(50) NOT NULL DEFAULT 'user',
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status VARCHAR(50) DEFAULT 'active',
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kb_quota INT DEFAULT 3,
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kb_used INT DEFAULT 0,
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trial_ends_at TIMESTAMP,
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is_trial BOOLEAN DEFAULT true,
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last_login_at TIMESTAMP,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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-- ========================================
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-- 第二步:创建索引
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-- ========================================
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CREATE INDEX IF NOT EXISTS idx_platform_users_email ON platform_schema.users(email);
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CREATE INDEX IF NOT EXISTS idx_platform_users_role ON platform_schema.users(role);
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CREATE INDEX IF NOT EXISTS idx_platform_users_status ON platform_schema.users(status);
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CREATE INDEX IF NOT EXISTS idx_platform_users_created_at ON platform_schema.users(created_at);
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-- ========================================
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-- 第三步:迁移数据
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-- ========================================
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-- 从public.users迁移数据到platform_schema.users
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INSERT INTO platform_schema.users (
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id, email, password, name, avatar_url,
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role, status, kb_quota, kb_used,
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trial_ends_at, is_trial, last_login_at,
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created_at, updated_at
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)
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SELECT
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id, email, password, name, avatar_url,
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role, status, kb_quota, kb_used,
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trial_ends_at, is_trial, last_login_at,
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created_at, updated_at
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FROM public.users
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ON CONFLICT (id) DO NOTHING; -- 如果已存在则跳过(支持重复执行)
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-- ========================================
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-- 第四步:数据验证
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-- ========================================
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DO $$
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DECLARE
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public_count INTEGER;
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platform_count INTEGER;
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BEGIN
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-- 统计原表数据量
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SELECT COUNT(*) INTO public_count FROM public.users;
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-- 统计新表数据量
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SELECT COUNT(*) INTO platform_count FROM platform_schema.users;
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RAISE NOTICE '原表 public.users 数据量:%', public_count;
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RAISE NOTICE '新表 platform_schema.users 数据量:%', platform_count;
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-- 验证数据一致性
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IF public_count = platform_count THEN
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RAISE NOTICE '✅ 数据迁移成功:数据量完全一致';
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ELSE
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RAISE WARNING '⚠️ 警告:数据量不一致!预期 %,实际 %', public_count, platform_count;
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END IF;
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-- 验证email唯一性
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IF (SELECT COUNT(DISTINCT email) FROM platform_schema.users) = platform_count THEN
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RAISE NOTICE '✅ Email唯一性校验通过';
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ELSE
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RAISE WARNING '⚠️ 警告:Email存在重复';
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END IF;
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END $$;
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-- ========================================
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-- 第五步:对比验证(抽样检查)
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-- ========================================
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-- 对比前5条数据
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SELECT 'public.users' AS source, id, email, name, role, created_at
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FROM public.users
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ORDER BY created_at DESC
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LIMIT 5;
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SELECT 'platform_schema.users' AS source, id, email, name, role, created_at
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FROM platform_schema.users
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ORDER BY created_at DESC
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LIMIT 5;
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COMMIT;
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-- ========================================
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-- 执行结果统计(可单独运行)
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-- ========================================
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SELECT
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'platform_schema.users' AS table_name,
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COUNT(*) AS total_count,
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COUNT(DISTINCT email) AS unique_emails,
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COUNT(CASE WHEN role = 'admin' THEN 1 END) AS admin_count,
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COUNT(CASE WHEN role = 'user' THEN 1 END) AS user_count,
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COUNT(CASE WHEN status = 'active' THEN 1 END) AS active_count,
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MIN(created_at) AS first_user_date,
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MAX(created_at) AS last_user_date
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FROM platform_schema.users;
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-- ========================================
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-- 后续步骤说明
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-- ========================================
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-- 注意:public.users表暂时保留,不删除
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-- 原因:
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-- 1. 其他Schema的表(aia, pkb)会引用platform_schema.users
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-- 2. 所有迁移完成并验证后,再决定是否删除public.users
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-- 3. 删除前需确保所有外键已更新
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-- ========================================
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