HaHafeng
8eef9e0544
Features: - Backend statistics API (cloud-native Prisma aggregation) - Results page with hybrid solution (AI consensus + human final decision) - Excel export (frontend generation, zero disk write, cloud-native) - PRISMA-style exclusion reason analysis with bar chart - Batch selection and export (3 export methods) - Fixed logic contradiction (inclusion does not show exclusion reason) - Optimized table width (870px, no horizontal scroll) Components: - Backend: screeningController.ts - add getProjectStatistics API - Frontend: ScreeningResults.tsx - complete results page (hybrid solution) - Frontend: excelExport.ts - Excel export utility (40 columns full info) - Frontend: ScreeningWorkbench.tsx - add navigation button - Utils: get-test-projects.mjs - quick test tool Architecture: - Cloud-native: backend aggregation reduces network transfer - Cloud-native: frontend Excel generation (zero file persistence) - Reuse platform: global prisma instance, logger - Performance: statistics API < 500ms, Excel export < 3s (1000 records) Documentation: - Update module status guide (add Week 4 features) - Update task breakdown (mark Week 4 completed) - Update API design spec (add statistics API) - Update database design (add field usage notes) - Create Week 4 development plan - Create Week 4 completion report - Create technical debt list Test: - End-to-end flow test passed - All features verified - Performance test passed - Cloud-native compliance verified Ref: Week 4 Development Plan Scope: ASL Module MVP - Title Abstract Screening Results Cloud-Native: Backend aggregation + Frontend Excel generation
117 lines
2.3 KiB
Markdown
117 lines
2.3 KiB
Markdown
# 文档处理引擎
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> **能力定位：** 通用能力层
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> **复用率：** 86% (6个模块依赖)
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> **优先级：** P0
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> **状态：** ✅ 已实现（Python微服务）
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---
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## 📋 能力概述
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文档处理引擎是平台的核心基础能力，负责：
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- 多格式文档文本提取（PDF、Docx、Txt、Excel）
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- OCR处理
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- 表格提取
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- 语言检测
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- 质量评估
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---
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## 📊 依赖模块
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**6个模块依赖（86%复用率）：**
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1. **ASL** - AI智能文献（文献PDF提取）
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2. **PKB** - 个人知识库（知识库文档上传）
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3. **DC** - 数据清洗（Excel/Docx数据导入）
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4. **SSA** - 智能统计分析（数据导入）
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5. **ST** - 统计分析工具（数据导入）
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6. **RVW** - 稿件审查（稿件文档提取）
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---
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## 💡 核心功能
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### 1. PDF提取
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- **Nougat**：英文学术论文（高质量）
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- **PyMuPDF**：中文PDF + 兜底方案（快速）
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- **语言检测**：自动识别中英文
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- **质量评估**：提取质量评分
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### 2. Docx提取
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- **Mammoth**：转Markdown
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- **python-docx**：结构化读取
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### 3. Txt提取
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- **多编码支持**：UTF-8、GBK等
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- **chardet**：自动检测编码
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### 4. Excel处理
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- **openpyxl**：读取Excel
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- **pandas**：数据处理
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---
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## 🏗️ 技术架构
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**Python微服务（FastAPI）：**
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```
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extraction_service/
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├── main.py (509行) - FastAPI主服务
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├── services/
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│ ├── pdf_extractor.py (242行) - PDF提取总协调
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│ ├── pdf_processor.py (280行) - PyMuPDF实现
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│ ├── language_detector.py (120行) - 语言检测
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│ ├── nougat_extractor.py (242行) - Nougat实现
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│ ├── docx_extractor.py (253行) - Docx提取
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│ └── txt_extractor.py (316行) - Txt提取（多编码）
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└── requirements.txt
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```
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---
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## 📚 API端点
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```
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POST /api/extract/pdf - PDF文本提取
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POST /api/extract/docx - Docx文本提取
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POST /api/extract/txt - Txt文本提取
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POST /api/extract/excel - Excel表格提取
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GET /health - 健康检查
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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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- [Python微服务代码](../../../extraction_service/)
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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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