Core Components: - PDFStorageService with Dify/OSS adapters - LLM12FieldsService with Nougat-first + dual-model + 3-layer JSON parsing - PromptBuilder for dynamic prompt assembly - MedicalLogicValidator with 5 rules + fault tolerance - EvidenceChainValidator for citation integrity - ConflictDetectionService for dual-model comparison Prompt Engineering: - System Prompt (6601 chars, Section-Aware strategy) - User Prompt template (PICOS context injection) - JSON Schema (12 fields constraints) - Cochrane standards (not loaded in MVP) Key Innovations: - 3-layer JSON parsing (JSON.parse + json-repair + code block extraction) - Promise.allSettled for dual-model fault tolerance - safeGetFieldValue for robust field extraction - Mixed CN/EN token calculation Integration Tests: - integration-test.ts (full test) - quick-test.ts (quick test) - cached-result-test.ts (fault tolerance test) Documentation Updates: - Development record (Day 2-3 summary) - Quality assurance strategy (full-text screening) - Development plan (progress update) - Module status (v1.1 update) - Technical debt (10 new items) Test Results: - JSON parsing success rate: 100% - Medical logic validation: 5/5 passed - Dual-model parallel processing: OK - Cost per PDF: CNY 0.10 Files: 238 changed, 14383 insertions(+), 32 deletions(-) Docs: docs/03-涓氬姟妯″潡/ASL-AI鏅鸿兘鏂囩尞/05-寮€鍙戣褰?2025-11-22_Day2-Day3_LLM鏈嶅姟涓庨獙璇佺郴缁熷紑鍙?md
118 lines
2.3 KiB
Markdown
118 lines
2.3 KiB
Markdown
# 文档处理引擎
|
||
|
||
> **能力定位:** 通用能力层
|
||
> **复用率:** 86% (6个模块依赖)
|
||
> **优先级:** P0
|
||
> **状态:** ✅ 已实现(Python微服务)
|
||
|
||
---
|
||
|
||
## 📋 能力概述
|
||
|
||
文档处理引擎是平台的核心基础能力,负责:
|
||
- 多格式文档文本提取(PDF、Docx、Txt、Excel)
|
||
- OCR处理
|
||
- 表格提取
|
||
- 语言检测
|
||
- 质量评估
|
||
|
||
---
|
||
|
||
## 📊 依赖模块
|
||
|
||
**6个模块依赖(86%复用率):**
|
||
1. **ASL** - AI智能文献(文献PDF提取)
|
||
2. **PKB** - 个人知识库(知识库文档上传)
|
||
3. **DC** - 数据清洗(Excel/Docx数据导入)
|
||
4. **SSA** - 智能统计分析(数据导入)
|
||
5. **ST** - 统计分析工具(数据导入)
|
||
6. **RVW** - 稿件审查(稿件文档提取)
|
||
|
||
---
|
||
|
||
## 💡 核心功能
|
||
|
||
### 1. PDF提取
|
||
- **Nougat**:英文学术论文(高质量)
|
||
- **PyMuPDF**:中文PDF + 兜底方案(快速)
|
||
- **语言检测**:自动识别中英文
|
||
- **质量评估**:提取质量评分
|
||
|
||
### 2. Docx提取
|
||
- **Mammoth**:转Markdown
|
||
- **python-docx**:结构化读取
|
||
|
||
### 3. Txt提取
|
||
- **多编码支持**:UTF-8、GBK等
|
||
- **chardet**:自动检测编码
|
||
|
||
### 4. Excel处理
|
||
- **openpyxl**:读取Excel
|
||
- **pandas**:数据处理
|
||
|
||
---
|
||
|
||
## 🏗️ 技术架构
|
||
|
||
**Python微服务(FastAPI):**
|
||
```
|
||
extraction_service/
|
||
├── main.py (509行) - FastAPI主服务
|
||
├── services/
|
||
│ ├── pdf_extractor.py (242行) - PDF提取总协调
|
||
│ ├── pdf_processor.py (280行) - PyMuPDF实现
|
||
│ ├── language_detector.py (120行) - 语言检测
|
||
│ ├── nougat_extractor.py (242行) - Nougat实现
|
||
│ ├── docx_extractor.py (253行) - Docx提取
|
||
│ └── txt_extractor.py (316行) - Txt提取(多编码)
|
||
└── requirements.txt
|
||
```
|
||
|
||
---
|
||
|
||
## 📚 API端点
|
||
|
||
```
|
||
POST /api/extract/pdf - PDF文本提取
|
||
POST /api/extract/docx - Docx文本提取
|
||
POST /api/extract/txt - Txt文本提取
|
||
POST /api/extract/excel - Excel表格提取
|
||
GET /health - 健康检查
|
||
```
|
||
|
||
---
|
||
|
||
## 🔗 相关文档
|
||
|
||
- [通用能力层总览](../README.md)
|
||
- [Python微服务代码](../../../extraction_service/)
|
||
|
||
---
|
||
|
||
**最后更新:** 2025-11-06
|
||
**维护人:** 技术架构师
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|
||
|