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isA_Data — data analytics, data-fabric, and data-product SDK for the isA platform

Project description

isA_Data

Cloud Data Analytics & Processing Center

🎯 Purpose

独立的数据分析云服务,处理数据处理、分析、可视化等任务。 从 isA_MCP/tools/services/data_analytics_service 迁移而来,提供 API 服务。

🏗️ Architecture

isA_Data/
├── app/
│   ├── main.py                    # FastAPI 主服务
│   ├── config.py                  # 配置管理
│   └── api/
│       ├── analytics.py           # 数据分析端点
│       ├── processing.py          # 数据处理端点
│       └── visualization.py       # 数据可视化端点
│
├── services/
│   ├── analytics/                 # [迁移自 isA_MCP]
│   │   ├── pandas_ops.py          # Pandas 操作
│   │   ├── statistical.py         # 统计分析
│   │   └── ml_analysis.py         # ML 分析
│   │
│   ├── processing/
│   │   ├── etl.py                 # ETL 处理
│   │   ├── cleaning.py            # 数据清洗
│   │   └── transformation.py      # 数据转换
│   │
│   └── storage/
│       ├── database.py            # 数据库操作
│       └── cache.py               # 缓存管理
│
├── core/
│   ├── logging.py
│   └── clients/
│       └── model_client.py        # ISA Model 客户端
│
├── deployment/
│   ├── docker/
│   │   └── Dockerfile
│   └── kubernetes/
│       └── deployment.yaml
│
├── tests/
│   └── test_analytics.py
│
├── requirements.txt
└── README.md

📡 API Endpoints

Data Analytics

POST /api/v1/data/analyze
POST /api/v1/data/statistics
POST /api/v1/data/ml/predict

Data Processing

POST /api/v1/data/clean
POST /api/v1/data/transform
POST /api/v1/data/aggregate

Data Visualization

POST /api/v1/data/visualize/chart
POST /api/v1/data/visualize/dashboard

🚀 Usage

As Standalone Service

# Start server
uvicorn app.main:app --host 0.0.0.0 --port 8001

# Or with Docker
docker-compose up

Called from isA_MCP

# isA_MCP 中通过 API 调用
from tools.services.data_analytics_service import ISA_Data_Client

client = ISA_Data_Client(base_url="http://localhost:8001")
result = await client.analyze_data(
    data=df,
    analysis_type="descriptive"
)

💡 Benefits

  1. 专注: 专门处理数据相关任务
  2. 性能: 可以部署在大内存机器上处理大数据
  3. 隔离: 数据处理故障不影响 MCP 主服务
  4. 可复用: 多个服务都可以调用数据分析能力
  5. 扩展: 未来可以添加更多数据源和分析能力

🔄 Migration Status

  • Phase 1: 基础架构搭建
  • Phase 2: 迁移 data_analytics 模块
  • Phase 3: FastAPI 端点实现
  • Phase 4: 数据库集成
  • Phase 5: isA_MCP 集成测试
  • Phase 6: 生产部署

🔗 Related Projects

  • isA_MCP: MCP 工具层(API 调用端)
  • isA_OS: Web & OS 操作云服务
  • isA_Model: 模型服务

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