Files
AIclinicalresearch/docs/02-通用能力层/02-文档处理引擎/README.md
HaHafeng beb7f7f559 feat(asl): Implement full-text screening core LLM service and validation system (Day 1-3)
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
2025-11-22 22:21:12 +08:00

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# 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