Version Sensor Data with DVC and Vertex AI SDK

                      
                     
from typing import Dict, Any
import os
import dvc.api
from google.cloud import aiplatform

# Configuration
DVC_REPO_URL = os.getenv('DVC_REPO_URL')  # DVC repository URL
MODEL_NAME = os.getenv('MODEL_NAME')  # Vertex AI model name
PROJECT_ID = os.getenv('PROJECT_ID')  # Google Cloud project ID

# Initialize Vertex AI
aiplatform.init(project=PROJECT_ID)

def get_sensor_data(version: str) -> Dict[str, Any]:
    try:
        # Load sensor data using DVC
        data_path = dvc.api.get_url(path='data/sensor_data.csv', repo=DVC_REPO_URL, rev=version)
        with open(data_path, 'r') as file:
            sensor_data = file.read()  # Read data from the file
        return {'success': True, 'data': sensor_data}
    except Exception as error:
        return {'success': False, 'error': str(error)}

# Function to deploy the model
def deploy_model() -> None:
    try:
        model = aiplatform.Model(model_name=MODEL_NAME)
        model.deploy()
        print(f'Model {MODEL_NAME} deployed successfully.')  
    except Exception as error:
        print(f'Error deploying model: {str(error)}')

if __name__ == '__main__':
    version = 'main'  # Example version
    sensor_data_response = get_sensor_data(version)
    if sensor_data_response['success']:
        print('Sensor data retrieved successfully!')
    else:
        print(f'Error: {sensor_data_response['error']}')
    deploy_model()