HaHafeng
2e8699c217
Features: - feat: Excel template generation and download (with examples) - feat: Excel file parsing in memory (cloud-native, no disk write) - feat: Field validation (title + abstract required) - feat: Smart deduplication (DOI priority + Title fallback) - feat: Literature preview table with statistics - feat: Complete submission flow (create project + import literatures) Components: - feat: Create excelUtils.ts with full Excel processing toolkit - feat: Enhance TitleScreeningSettings page with upload/preview/submit - feat: Update API interface signatures and export unified aslApi object Dependencies: - chore: Add xlsx library for Excel file processing Ref: Week 2 Frontend Development - Day 2 Scope: ASL Module MVP - Title Abstract Screening Cloud-Native: Memory parsing, no file persistence
94 lines
1.4 KiB
Markdown
94 lines
1.4 KiB
Markdown
# 数据ETL引擎
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> **能力定位：** 通用能力层
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> **复用率：** 29% (2个模块依赖)
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> **优先级：** P2
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> **状态：** ⏳ 待实现
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---
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## 📋 能力概述
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数据ETL引擎负责：
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- Excel多表JOIN
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- 数据清洗
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- 数据转换
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- 数据验证
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---
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## 📊 依赖模块
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**2个模块依赖（29%复用率）：**
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1. **DC** - 数据清洗整理（核心依赖）
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2. **SSA** - 智能统计分析（数据预处理）
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---
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## 💡 核心功能
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### 1. Excel多表处理
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- 读取多个Excel文件
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- 自动JOIN操作
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- GROUP BY聚合
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### 2. 数据清洗
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- 缺失值处理
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- 重复值处理
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- 异常值检测
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### 3. 数据转换
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- 类型转换
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- 格式标准化
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---
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## 🏗️ 技术方案
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### 云端版（最优）
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```python
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# 基于Polars（性能极高）
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class ETLEngine:
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def read_excel(self, files: List[File]) -> List[DataFrame]
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def join(self, dfs: List[DataFrame], keys: List[str]) -> DataFrame
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def clean(self, df: DataFrame, rules: Dict) -> DataFrame
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def export(self, df: DataFrame, format: str) -> bytes
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```
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### 单机版（兼容）
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```python
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# 基于SQLite（内存友好）
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# 分块读取，数据库引擎处理JOIN
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```
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---
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## 🔗 相关文档
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- [通用能力层总览](../README.md)
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- [DC模块需求](../../03-业务模块/DC-数据清洗整理/README.md)
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---
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**最后更新：** 2025-11-06
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**维护人：** 技术架构师
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