FastAPI CKAN Integration

A FastAPI application that provides a REST API interface for CKAN dataset management, with support for bulk uploads and CRUD operations.

Features

• CRUD operations for CKAN datasets
• Bulk upload support via CSV
• Field mapping for complex CKAN schemas
• Error handling and validation
• Environment-based configuration

Prerequisites

• Python 3.8+
• Git
• CKAN instance with API access

Installation

1. Clone the repository:

[email protected]:Prajna1999/ocds-ckan.git
cd ocds-ckan

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

4. Create a .env file in the project root:

CKAN_URL=http://your-ckan-instance/
CKAN_API_KEY=your-api-key

Running the Application

1. Start the FastAPI server:

 fastapi dev app/main.py    

2. Access the API documentation:

• Swagger UI: http://localhost:8000/docs
• ReDoc: http://localhost:8000/redoc

API Endpoints

Dataset Management

Create Dataset

POST /api/v1/datasets/
Content-Type: application/json

{
  "title": "Dataset Title",
  "owner_org": "organization-name",
  ...
}

Get Dataset

GET /api/v1/datasets/{dataset_id}

Update Dataset

PUT /api/v1/datasets/{dataset_id}
Content-Type: application/json

{
  "title": "Updated Title",
  ...
}

Delete Dataset

DELETE /api/v1/datasets/{dataset_id}

Bulk Upload

Upload CSV

POST /api/v1/datasets/bulk-upload/
Content-Type: multipart/form-data

file: your-csv-file.csv

CSV Format

Your CSV file should have the following headers mapping to CKAN fields:

tender/title,buyer/name,Fiscal Year,ocid,initiationType,tag,id,date,tender/id,...

Example row:

"Sample Tender","Organization Name|Department",2024,ocid-123,tender,planning,1,2024-01-01,tender-123,...

Project Structure

app/
├── __init__.py
├── main.py
├── config.py
├── dependencies.py
├── routers/
│   ├── __init__.py
│   └── dataset_router.py
├── crud/
│   ├── __init__.py
│   └── dataset.py
├── schemas/
│   ├── __init__.py
│   └── dataset.py
├── models/
│   └── __init__.py
├── external_services/
│   ├── __init__.py
│   └── ckan_client.py
└── utils/
    ├── __init__.py
    ├── field_mapper.py
    └── name_formatter.py

Requirements

fastapi==0.104.1
uvicorn==0.24.0
python-multipart==0.0.6
pandas==2.1.3
ckanapi==4.7
python-dotenv==1.0.0
pydantic==2.5.1
pydantic-settings==2.1.0

Development

1. Install development dependencies:

pip install pytest black isort flake8

2. Run tests:

pytest tests/

3. Format code:

black app/
isort app/

Common Issues

1. CKAN Connection Error

   • Check if CKAN_URL is accessible
   • Verify CKAN_API_KEY is valid

2. CSV Upload Errors

   • Ensure CSV headers match the expected format
   • Check for missing required fields
   • Verify data types match schema

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.