from metadata.generated.schema.entity.services.connections.metadata.openMetadataConnection import (
    AuthProvider,
    OpenMetadataConnection,
)
from metadata.generated.schema.security.client.openMetadataJWTClientConfig import (
    OpenMetadataJWTClientConfig,
)
from metadata.ingestion.ometa.ometa_api import OpenMetadata
from metadata.generated.schema.entity.services.mlmodelService import MlModelService

metadata = OpenMetadata(
    OpenMetadataConnection(
        hostPort="https://your-company.getcollate.io/api",
        authProvider=AuthProvider.openmetadata,
        securityConfig=OpenMetadataJWTClientConfig(jwtToken="your-jwt-token"),
    )
)

# Retrieve, modify, and update
svc = metadata.get_by_id(entity=MlModelService, entity_id="ca22d46e-81b9-4e48-85b5-0adc44980da9")
modified = svc.model_copy(deep=True)
modified.description = "Updated: Production MLflow tracking server with model registry"
modified.connection.config.trackingUri = "http://mlflow-prod:8088"
modified.connection.config.registryUri = "http://mlflow-prod:8088"
updated = metadata.patch(entity=MlModelService, source=svc, destination=modified)

print(f"Updated to version {updated.version.root}")

import org.openmetadata.schema.entity.services.MlModelService;
import org.openmetadata.sdk.fluent.MlModelServices;

// client is an initialized OpenMetadataClient.
MlModelServices.setDefaultClient(client);

// Retrieve, modify, and update
MlModelService service = MlModelServices.retrieve("ca22d46e-81b9-4e48-85b5-0adc44980da9");
service.setDescription("Updated: Production MLflow tracking server with model registry");
MlModelService updated = MlModelServices.update(service);

# Update by ID
curl -X PATCH "{base_url}/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json-patch+json" \
  -d '[
    {"op": "replace", "path": "/description", "value": "Updated: Production MLflow tracking server with model registry"}
  ]'

# Update by name
curl -X PATCH "{base_url}/api/v1/services/mlmodelServices/name/mlflow_svc" \
  -H "Authorization: Bearer {access_token}" \
  -H "Content-Type: application/json-patch+json" \
  -d '[
    {"op": "replace", "path": "/description", "value": "Updated: Production MLflow tracking server with model registry"}
  ]'

{
  "id": "ca22d46e-81b9-4e48-85b5-0adc44980da9",
  "name": "mlflow_svc",
  "fullyQualifiedName": "mlflow_svc",
  "serviceType": "Mlflow",
  "description": "Updated: Production MLflow tracking server with model registry",
  "version": 0.2,
  "updatedAt": 1769982621618,
  "updatedBy": "admin",
  "href": "http://localhost:8585/api/v1/services/mlmodelServices/ca22d46e-81b9-4e48-85b5-0adc44980da9",
  "connection": {
    "config": {
      "type": "Mlflow",
      "trackingUri": "http://mlflow-prod:8088",
      "registryUri": "http://mlflow-prod:8088",
      "supportsMetadataExtraction": true
    }
  },
  "owners": [],
  "tags": [],
  "deleted": false,
  "domains": []
}