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
85 lines
1.1 KiB
Markdown
85 lines
1.1 KiB
Markdown
# 医学NLP引擎
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> **能力定位：** 通用能力层
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> **复用率：** 14% (1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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医学NLP引擎负责：
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- 医学实体识别（NER）
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- 医学术语标准化
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- 疾病/药物识别
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---
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## 📊 依赖模块
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**1个模块依赖（14%复用率）：**
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1. **DC** - 数据清洗整理（病例数据NER提取）
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---
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## 💡 核心功能
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### 1. 医学实体识别
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- 疾病识别
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- 药物识别
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- 手术识别
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- TNM分期提取
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### 2. 术语标准化
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- ICD编码
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- ATC编码
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### 3. 关系抽取
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- 疾病-药物关系
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- 症状-疾病关系
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---
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## 🏗️ 技术方案
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### 云端版（高准确率）
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```python
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# 基于LLM API（Claude/GPT）
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# JSON Mode结构化输出
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```
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### 单机版（隐私优先）
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```python
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# 基于spaCy + 医学模型
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# 100%本地运行
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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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