DAB `cannot create mlflow model: Missing required field: tag value` when targets is development mode

[Hydrugion]

Databricks CLI version

$ databricks -v 
Databricks CLI v0.208.2

Bug reproduction

When deploying a model resource to a target with development mode, the automatic tagging mechanism added a tag that does not comply to Databricks create model API and caused the following error

$ databricks bundle deploy

Starting upload of bundle files
Uploaded bundle files at /Users/<redacted>/.bundle/test-dab/dev/files!

Starting resource deployment
Error: terraform apply: exit status 1 
 
Error: cannot create mlflow model: Missing required field: tag value 
 
 with databricks_mlflow_model.test_model, 
 on bundle.tf.json line 22, in resource.databricks_mlflow_model.test_model:
 22: } 

File databricks.yml

bundle:
 name: test-dab

targets:
 dev:
 mode: development
 default: true

resources:
 models:
 test_model:
 name: test-model

File bundle.tf.json output from databricks bundle validate

{
 "terraform": {
 "required_providers": {
 "databricks": {
 "source": "databricks/databricks",
 "version": "1.28.0"
 }
 }
 },
 "provider": {
 "databricks": {}
 },
 "resource": {
 "databricks_mlflow_model": {
 "test_model": {
 "name": "[dev <redacted>] test-model",
 "tags": [
 {
 "key": "dev"
 }
 ]
 }
 }
 }
}

From the file we can observe that the tags "key": "dev" does not have a value that caused the error. For production mode there is no automatic tag added so no error is raised.

[mabreuortega]

Seeing this error too

[Hydrugion]

is this being updated?

[andrewnester]

The team is looking at the fix for the issue, we will update the ticket with any new information / fixes as we go

[andrewnester]

The fix is merged and will be released in the next CLI release