HaHafeng
e3e7e028e8
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
91 lines
1.4 KiB
Markdown
91 lines
1.4 KiB
Markdown
# 数据ETL引擎
|
||
|
||
> **能力定位：** 通用能力层
|
||
> **复用率：** 29% (2个模块依赖)
|
||
> **优先级：** P2
|
||
> **状态：** ⏳ 待实现
|
||
|
||
---
|
||
|
||
## 📋 能力概述
|
||
|
||
数据ETL引擎负责：
|
||
- Excel多表JOIN
|
||
- 数据清洗
|
||
- 数据转换
|
||
- 数据验证
|
||
|
||
---
|
||
|
||
## 📊 依赖模块
|
||
|
||
**2个模块依赖（29%复用率）：**
|
||
1. **DC** - 数据清洗整理（核心依赖）
|
||
2. **SSA** - 智能统计分析（数据预处理）
|
||
|
||
---
|
||
|
||
## 💡 核心功能
|
||
|
||
### 1. Excel多表处理
|
||
- 读取多个Excel文件
|
||
- 自动JOIN操作
|
||
- GROUP BY聚合
|
||
|
||
### 2. 数据清洗
|
||
- 缺失值处理
|
||
- 重复值处理
|
||
- 异常值检测
|
||
|
||
### 3. 数据转换
|
||
- 类型转换
|
||
- 格式标准化
|
||
|
||
---
|
||
|
||
## 🏗️ 技术方案
|
||
|
||
### 云端版（最优）
|
||
```python
|
||
# 基于Polars（性能极高）
|
||
class ETLEngine:
|
||
def read_excel(self, files: List[File]) -> List[DataFrame]
|
||
def join(self, dfs: List[DataFrame], keys: List[str]) -> DataFrame
|
||
def clean(self, df: DataFrame, rules: Dict) -> DataFrame
|
||
def export(self, df: DataFrame, format: str) -> bytes
|
||
```
|
||
|
||
### 单机版（兼容）
|
||
```python
|
||
# 基于SQLite（内存友好）
|
||
# 分块读取，数据库引擎处理JOIN
|
||
```
|
||
|
||
---
|
||
|
||
## 🔗 相关文档
|
||
|
||
- [通用能力层总览](../README.md)
|
||
- [DC模块需求](../../03-业务模块/DC-数据清洗整理/README.md)
|
||
|
||
---
|
||
|
||
**最后更新：** 2025-11-06
|
||
**维护人：** 技术架构师
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|