Automate Pipeline Workflows with ZenML and Azure Digital Twins SDK

                      
                     
from typing import Dict, Any
import os
from azure.digitaltwins import DigitalTwinsClient
from azure.identity import DefaultAzureCredential
import zenml
from zenml.pipelines import pipeline

# Configuration
az_digital_twins_url = os.getenv('AZURE_DIGITAL_TWINS_URL')

# Initialize Azure Digital Twins Client
credential = DefaultAzureCredential()
digital_twins_client = DigitalTwinsClient(az_digital_twins_url, credential)

@pipeline
def data_pipeline():
    # Core logic for data processing
    try:
        # Simulate workflow operation
        print("Starting pipeline...")
        # Example of fetching data from Azure Digital Twins
        twin_data = digital_twins_client.get_digital_twin("sampleTwinId")
        print(f"Fetched twin data: {twin_data}")
        # Process data and send to ZenML
        zenml.send_data(twin_data)
    except Exception as error:
        print(f"Error in pipeline execution: {str(error)}")

if __name__ == '__main__':
    data_pipeline()