databricks-cli/bundle/deploy/terraform/tfdyn/convert_model.go

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package tfdyn
import (
"context"
"fmt"
"github.com/databricks/cli/bundle/internal/tf/schema"
"github.com/databricks/cli/libs/dyn"
"github.com/databricks/cli/libs/dyn/convert"
"github.com/databricks/cli/libs/log"
)
func convertModelResource(ctx context.Context, vin dyn.Value) (dyn.Value, error) {
// Normalize the output value to the target schema.
vout, diags := convert.Normalize(schema.ResourceMlflowModel{}, vin)
for _, diag := range diags {
log.Debugf(ctx, "model normalization diagnostic: %s", diag.Summary)
}
return vout, nil
}
type modelConverter struct{}
func (modelConverter) Convert(ctx context.Context, key string, vin dyn.Value, out *schema.Resources) error {
vout, err := convertModelResource(ctx, vin)
if err != nil {
return err
}
// Add the converted resource to the output.
out.MlflowModel[key] = vout.AsAny()
// Configure permissions for this resource.
if permissions := convertPermissionsResource(ctx, vin); permissions != nil {
permissions.RegisteredModelId = fmt.Sprintf("${databricks_mlflow_model.%s.registered_model_id}", key)
out.Permissions["mlflow_model_"+key] = permissions
}
return nil
}
func init() {
registerConverter("models", modelConverter{})
}