deepdata: core product code (backend, frontend, runtime, deepflow module)
This commit is contained in:
@@ -0,0 +1,146 @@
|
||||
# DeepData Runtime
|
||||
|
||||
## Overview
|
||||
|
||||
DeepData Runtime provides core functionality for data processing, operator execution, and data collection, built on Python 3.12+ and the FastAPI framework.
|
||||
|
||||
## Architecture
|
||||
|
||||
```
|
||||
runtime/
|
||||
├── deepdata-python/ # FastAPI backend service (port 18000)
|
||||
├── python-executor/ # Ray distributed executor
|
||||
├── ops/ # Operator ecosystem
|
||||
├── datax/ # DataX data read/write framework
|
||||
└── deepflow/ # DeepFlow service
|
||||
```
|
||||
|
||||
## Components
|
||||
|
||||
### 1. deepdata-python (FastAPI Backend)
|
||||
**Port**: 18000
|
||||
|
||||
Core Python service providing:
|
||||
- **Data Synthesis**: QA generation, document processing
|
||||
- **Data Annotation**: Label Studio integration, auto-annotation
|
||||
- **Data Evaluation**: Model evaluation, quality checks
|
||||
- **Data Cleaning**: Data cleaning pipelines
|
||||
- **Operator Marketplace**: Operator management, upload
|
||||
- **RAG Indexing**: Vector indexing, knowledge base management
|
||||
- **Data Collection**: Scheduled tasks, data source integration
|
||||
|
||||
**Technology Stack**:
|
||||
- FastAPI 0.124+
|
||||
- SQLAlchemy 2.0+ (async)
|
||||
- Pydantic 2.12+
|
||||
- PostgreSQL (via asyncpg)
|
||||
- Milvus (via pymilvus)
|
||||
- APScheduler (scheduled tasks)
|
||||
|
||||
### 2. python-executor (Ray Executor)
|
||||
Ray distributed execution framework responsible for:
|
||||
- **Operator Execution**: Execute data processing operators
|
||||
- **Task Scheduling**: Async task management
|
||||
- **Distributed Computing**: Multi-node parallel processing
|
||||
|
||||
**Technology Stack**:
|
||||
- Ray 2.7.0
|
||||
- FastAPI (executor API)
|
||||
- Data-Juicer (data processing)
|
||||
|
||||
### 3. ops (Operator Ecosystem)
|
||||
Operator ecosystem including:
|
||||
- **filter**: Data filtering (deduplication, sensitive content, quality filtering)
|
||||
- **mapper**: Data transformation (cleaning, normalization)
|
||||
- **slicer**: Data slicing (text splitting, slide extraction)
|
||||
- **formatter**: Format conversion (PDF → text, slide → JSON)
|
||||
- **llms**: LLM operators (quality evaluation, condition checking)
|
||||
- **annotation**: Annotation operators (object detection, segmentation)
|
||||
|
||||
**See**: `runtime/ops/README.md` for operator development guide
|
||||
|
||||
### 4. datax (DataX Framework)
|
||||
DataX data read/write framework supporting multiple data sources:
|
||||
- **Readers**: MySQL, PostgreSQL, Oracle, MongoDB, Elasticsearch, HDFS, S3, NFS, GlusterFS, API, etc.
|
||||
- **Writers**: Same as above, supports writing to targets
|
||||
|
||||
**Technology Stack**: Java (Maven build)
|
||||
|
||||
### 5. deepflow (DeepFlow Service)
|
||||
DeepFlow service (see `conf.yaml` for configuration).
|
||||
|
||||
## Quick Start
|
||||
|
||||
### Prerequisites
|
||||
- Python 3.12+
|
||||
- Poetry (for deepdata-python)
|
||||
- Ray 2.7.0+ (for python-executor)
|
||||
|
||||
### Run deepdata-python
|
||||
```bash
|
||||
cd runtime/deepdata-python
|
||||
poetry install
|
||||
poetry run uvicorn app.main:app --reload --port 18000
|
||||
```
|
||||
|
||||
### Run python-executor
|
||||
```bash
|
||||
cd runtime/python-executor
|
||||
poetry install
|
||||
ray start --head
|
||||
```
|
||||
|
||||
## Development
|
||||
|
||||
### deepdata-python Module Structure
|
||||
```
|
||||
app/
|
||||
├── core/ # Logging, exception, config
|
||||
├── db/
|
||||
│ ├── models/ # SQLAlchemy models
|
||||
│ └── session.py # Async session
|
||||
├── module/
|
||||
│ ├── annotation/ # Label Studio integration
|
||||
│ ├── collection/ # Data collection
|
||||
│ ├── cleaning/ # Data cleaning
|
||||
│ ├── dataset/ # Dataset management
|
||||
│ ├── evaluation/ # Model evaluation
|
||||
│ ├── generation/ # QA synthesis
|
||||
│ ├── operator/ # Operator marketplace
|
||||
│ ├── rag/ # RAG indexing
|
||||
│ └── shared/ # Shared schemas
|
||||
└── main.py # FastAPI entry
|
||||
```
|
||||
|
||||
### Code Conventions
|
||||
- **Routes**: `APIRouter` in `interface/*.py`
|
||||
- **Dependency Injection**: `Depends(get_db)` for session
|
||||
- **Error Handling**: `raise BusinessError(ErrorCodes.XXX, context)`
|
||||
- **Transactions**: `async with transaction(db):`
|
||||
- **Models**: Extend `BaseEntity` (audit fields auto-filled)
|
||||
|
||||
## Testing
|
||||
|
||||
```bash
|
||||
cd runtime/deepdata-python
|
||||
poetry run pytest
|
||||
```
|
||||
|
||||
## Configuration
|
||||
|
||||
### Environment Variables
|
||||
- `DATABASE_URL`: PostgreSQL connection string
|
||||
- `LABEL_STUDIO_BASE_URL`: Label Studio URL
|
||||
- `RAY_ENABLED`: Enable Ray executor
|
||||
- `RAY_ADDRESS`: Ray cluster address
|
||||
|
||||
## Documentation
|
||||
|
||||
- **API Docs**: http://localhost:18000/redoc
|
||||
- **Operator Guide**: See `runtime/ops/README.md` for operator development
|
||||
|
||||
## Related Links
|
||||
|
||||
- [FastAPI Documentation](https://fastapi.tiangolo.com/)
|
||||
- [Ray Documentation](https://docs.ray.io/)
|
||||
- [SQLAlchemy Documentation](https://docs.sqlalchemy.org/)
|
||||
Reference in New Issue
Block a user