Orchestrate Robotics Pipelines with OpenALRA and Kubeflow

                      
                     
import os
from typing import Dict, Any
import kubeflow
from openalra import RoboticsPipeline

# Configuration
API_KEY = os.getenv('API_KEY')
PIPELINE_NAME = 'RoboticsPipeline'

# Initialize the Kubeflow client
kf_client = kubeflow.Client(api_key=API_KEY)

# Initialize the robotics pipeline
pipeline = RoboticsPipeline(name=PIPELINE_NAME)

# Core logic to orchestrate the robotics pipeline
async def orchestrate_pipeline(params: Dict[str, Any]) -> Dict[str, Any]:
    try:
        # Step 1: Validate input parameters
        if not params.get('robot_id'):
            raise ValueError('robot_id is required')

        # Step 2: Trigger the robotics pipeline
        result = await pipeline.run(params)
        return {'success': True, 'result': result}
    except ValueError as ve:
        return {'success': False, 'error': str(ve)}
    except Exception as e:
        return {'success': False, 'error': f'An error occurred: {str(e)}'}

if __name__ == '__main__':
    import asyncio
    # Example parameters for the pipeline
    params = {'robot_id': 'robot_123', 'task': 'fetch'}
    result = asyncio.run(orchestrate_pipeline(params))
    print(result)