HaHafeng
decff0bb1f
Summary: - Successfully deployed complete system to Aliyun SAE (2025-12-25) - All services running: Python microservice + Node.js backend + Frontend Nginx + CLB - Public access available at http://8.140.53.236/ Major Achievements: 1. Python microservice deployed (v1.0, internal IP: 172.17.173.66:8000) 2. Node.js backend deployed (v1.3, internal IP: 172.17.173.73:3001) - Fixed 4 critical issues: bash path, config directory, pino-pretty, ES Module 3. Frontend Nginx deployed (v1.0, internal IP: 172.17.173.72:80) 4. CLB load balancer configured (public IP: 8.140.53.236) New Documentation (9 docs): - 11-Node.js backend SAE deployment config checklist (21 env vars) - 12-Node.js backend SAE deployment operation manual - 13-Node.js backend image fix record (config directory) - 14-Node.js backend pino-pretty fix - 15-Node.js backend deployment success summary - 16-Frontend Nginx deployment success summary - 17-Complete deployment practical manual 2025 edition (1800 lines) - 18-Deployment documentation usage guide - 19-Daily update quick operation manual (670 lines) Key Fixes: - Environment variable name correction: EXTRACTION_SERVICE_URL (not PYTHON_SERVICE_URL) - Dockerfile fix: added COPY config ./config - Logger configuration: conditional pino-pretty for dev only - Health check fix: ES Module compatibility (require -> import) Updated Files: - System status document updated with full deployment info - Deployment progress overview updated with latest IPs - All 3 Docker services' Dockerfiles and configs refined Verification: - All health checks passed - Tool C 7 features working correctly - Literature screening module functional - Response time < 1 second BREAKING CHANGE: Node.js backend internal IP changed from 172.17.173.71 to 172.17.173.73 Closes #deployment-milestone
86 lines
2.2 KiB
SQL
86 lines
2.2 KiB
SQL
-- ==================== Postgres-Only 改造：手动迁移 ====================
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-- 文件: 001_add_postgres_cache_and_checkpoint.sql
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-- 目的: 添加缓存表和断点续传字段
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-- 日期: 2025-12-13
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-- 说明: 避免Prisma migrate的shadow database问题，手动添加所需表和字段
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-- ==================== 1. 创建缓存表 (AppCache) ====================
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CREATE TABLE IF NOT EXISTS platform_schema.app_cache (
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id SERIAL PRIMARY KEY,
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key VARCHAR(500) UNIQUE NOT NULL,
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value JSONB NOT NULL,
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expires_at TIMESTAMP NOT NULL,
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created_at TIMESTAMP DEFAULT NOW()
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);
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-- 创建索引（优化过期查询和key查询）
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CREATE INDEX IF NOT EXISTS idx_app_cache_expires
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ON platform_schema.app_cache(expires_at);
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CREATE INDEX IF NOT EXISTS idx_app_cache_key_expires
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ON platform_schema.app_cache(key, expires_at);
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-- ==================== 2. 为AslScreeningTask添加新字段 ====================
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-- 任务拆分支持字段
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ALTER TABLE asl_schema.screening_tasks
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ADD COLUMN IF NOT EXISTS total_batches INTEGER DEFAULT 1,
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ADD COLUMN IF NOT EXISTS processed_batches INTEGER DEFAULT 0,
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ADD COLUMN IF NOT EXISTS current_batch_index INTEGER DEFAULT 0;
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-- 断点续传支持字段
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ALTER TABLE asl_schema.screening_tasks
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ADD COLUMN IF NOT EXISTS current_index INTEGER DEFAULT 0,
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ADD COLUMN IF NOT EXISTS last_checkpoint TIMESTAMP,
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ADD COLUMN IF NOT EXISTS checkpoint_data JSONB;
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-- ==================== 3. 验证创建结果 ====================
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-- 查看app_cache表结构
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SELECT
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column_name,
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data_type,
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is_nullable,
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column_default
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FROM information_schema.columns
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WHERE table_schema = 'platform_schema'
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AND table_name = 'app_cache'
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ORDER BY ordinal_position;
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-- 查看screening_tasks新增字段
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SELECT
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column_name,
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data_type,
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is_nullable,
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column_default
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FROM information_schema.columns
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WHERE table_schema = 'asl_schema'
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AND table_name = 'screening_tasks'
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AND column_name IN (
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'total_batches', 'processed_batches', 'current_batch_index',
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'current_index', 'last_checkpoint', 'checkpoint_data'
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)
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ORDER BY ordinal_position;
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-- ==================== 完成 ====================
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-- ✅ 缓存表已创建
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-- ✅ 任务拆分字段已添加
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-- ✅ 断点续传字段已添加
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