feat: 实现RCU升级后端服务初始版本

- 添加Kafka消费者组件用于消费升级事件数据
- 实现数据处理器进行数据验证和转换
- 添加数据库写入组件支持批量写入G5数据库
- 配置环境变量管理连接参数
- 添加日志记录和错误处理机制
- 实现优雅关闭和流控功能

bls-upgrade-backend/openspec/changes/2026-03-17-initial-implementation/proposal.md

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+# Initial Implementation Proposal
+
+## Overview
+This proposal outlines the initial implementation of the RCU Upgrade Backend service, which will consume data from Kafka, process it, and write it to the G5 database.
+
+## Background
+The service is needed to handle the processing and storage of RCU upgrade events data coming from Kafka, ensuring data integrity and performance.
+
+## Proposed Changes
+1. **Project Structure**: Create a complete Node.js project structure with the following components:
+   - Kafka consumer
+   - Data processor
+   - Database writer
+   - Flow control mechanism
+
+2. **Configuration**: Set up environment variables for:
+   - Kafka connection
+   - Database connection
+   - Performance settings
+
+3. **Data Processing**: Implement:
+   - Data validation
+   - hotel_id value range check
+   - Batch processing
+   - Flow control
+
+4. **Error Handling**: Implement comprehensive error handling and logging
+
+5. **Testing**: Prepare for unit and integration testing
+
+## Benefits
+- Efficient processing of high-volume data
+- Data integrity through validation
+- Controlled database write frequency
+- Comprehensive logging and error handling
+
+## Risks
+- Potential performance issues with large batch sizes
+- Kafka connection reliability
+- Database connection limits
+
+## Mitigation Strategies
+- Configurable batch size and write frequency
+- Robust error handling and retry mechanisms
+- Monitoring and alerting
+
+## Timeline
+- Initial implementation: 1 day
+- Testing: 1 day
+- Deployment: 1 day

bls-upgrade-backend/openspec/changes/2026-03-17-initial-implementation/tasks.md

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+# Initial Implementation Tasks
+
+## Overview
+This document outlines the specific tasks required for the initial implementation of the RCU Upgrade Backend service.
+
+## Tasks
+
+### 1. Project Setup
+- [x] Create project directory structure
+- [x] Set up package.json with dependencies
+- [x] Configure environment variables
+
+### 2. Core Components
+- [x] Implement Kafka consumer
+- [x] Implement data processor
+- [x] Implement database writer
+- [x] Implement flow control mechanism
+
+### 3. Data Processing
+- [x] Implement data validation
+- [x] Implement hotel_id value range check
+- [x] Implement batch processing
+- [x] Implement flow control
+
+### 4. Error Handling and Logging
+- [x] Implement error handling
+- [x] Implement logging
+
+### 5. Testing
+- [ ] Write unit tests
+- [ ] Write integration tests
+
+### 6. Deployment
+- [ ] Set up build process
+- [ ] Create deployment script
+
+## Task Details
+
+### Task 1: Project Setup
+- Create directory structure including src, tests, scripts, and openspec
+- Set up package.json with required dependencies (kafka-node, pg, dotenv, etc.)
+- Configure .env file with connection details
+
+### Task 2: Core Components
+- Kafka consumer: Set up connection to Kafka broker and consume messages from blwlog4Nodejs-rcu-upgrade-topic
+- Data processor: Validate and transform data according to database schema
+- Database writer: Write processed data to G5 database
+- Flow control: Limit database write frequency to max 1 time per second
+
+### Task 3: Data Processing
+- Data validation: Ensure all fields are present and valid
+- hotel_id value range check: Ensure hotel_id is within int2 range (-32768 to 32767), otherwise set to 0
+- Batch processing: Process data in batches of 1000 records
+- Flow control: Ensure database writes occur at most once per second
+
+### Task 4: Error Handling and Logging
+- Error handling: Handle and log errors gracefully
+- Logging: Implement structured logging for all operations
+
+### Task 5: Testing
+- Unit tests: Test individual components
+- Integration tests: Test the entire flow
+
+### Task 6: Deployment
+- Build process: Set up Vite build
+- Deployment script: Create script for deployment
+
+## Completion Criteria
+- All core components are implemented
+- Data is correctly processed and written to database
+- Flow control is working as expected
+- Error handling and logging are in place
+- Service can be started and run without errors