[Bug] The tblproperties are not applied when using Python Model to create a table

Is this a new bug in dbt-spark?

[X] I believe this is a new bug in dbt-spark
[X] I have searched the existing issues, and I could not find an existing issue for this bug

Current Behavior

When using the python model, the tblproperties in config is not applied. The final result table does not contain those table properties.

Expected Behavior

Those table properties should be applied when firstly creating table via Python model.

Steps To Reproduce

Under the models/data.yml, i set the following configurations

config:
    partition_by:
    - event_date
    tblproperties:
        delta.compatibility.symlinkFormatManifest.enabled: false
        delta.minReaderVersion: 2
        delta.minWriterVersion: 7
        delta.columnMapping.mode: name
        delta.enableIcebergCompatV2: true
        delta.universalFormat.enabledFormats: iceberg

In the models/data.py, it is

from pyspark.sql import functions as func

def model(dbt, session):

    df = dbt.source("data", "accounts")
    # do some transformation
    return df

then I run dbt run --select data

Relevant log output

no error in log output.

Environment

- OS: Linux
- Python: 3.10.7
- dbt-core: 1.7.7
- dbt-spark: 1.7.1

Additional Context

I am using the Azure Databricks with Unity Catalog, DBR is 14.3 LTS. I am using databricks-dbt directly but I think the databricks-dbt is just a thin wrapper on top of this project, so I ask help here.

dbt-labs / dbt-spark