Credentials not properly passed to copy model

[ybex]

Description:

The credentials from the databricks profiles are not passed along in all subfunctions of the copy function from mlflow_export_import.copy.copy_model_version. The error occurs only outside of databricks, e.g. in a standard python environment.
Probably related to #174, #160

To Reproduce

from mlflow_export_import.copy.copy_model_version import copy

import mlflow

src_model_name = "dev_machinelearning.alf.alf_lightgbm"
src_model_alias = "candidate"
dst_model_name = "prod_bronzeinternal.grid.alf_lightgbm_prod"
dst_experiment_name = "/ml_experiments/alf/alf_models"
src_registry_uri = 'databricks-uc://dev-env'
dst_registry_uri = "databricks-uc://prod-env"
src_tracking_uri = 'databricks://dev-env'
dst_tracking_uri ='databricks://prod-env'
copy_lineage_tags = False
copy_permissions = True
verbose = True
copy_stages_and_aliases = False

src_client = mlflow.MlflowClient(src_tracking_uri, src_registry_uri)
dst_client = mlflow.MlflowClient(dst_tracking_uri, dst_registry_uri)

src_model_version = src_client.get_model_version_by_alias(src_model_name, src_model_alias).version

src_model_version, dst_model_version = copy(
    src_model_name,
    src_model_version,
    dst_model_name,
    dst_experiment_name,
    src_tracking_uri = src_tracking_uri,
    dst_tracking_uri = dst_tracking_uri,
    src_registry_uri = src_registry_uri,
    dst_registry_uri = dst_registry_uri,
    copy_lineage_tags = copy_lineage_tags,
    copy_stages_and_aliases=copy_stages_and_aliases,
    copy_permissions=copy_permissions,
    verbose = verbose
    )

dst_client.set_registered_model_alias(dst_model_name, "champion", dst_model_version.version)

1. Set databricks profiles in ~/.databrickscfg for dev-env and prod-env
2. Execute code in a standard python environment (latest mlflow_export_import version)

Expected behavior

The authentication happens via the provided profiles and the model is copied.

Error message

No response
01-Mar-24 14:18:34 - INFO - Using default logging config without output log file
01-Mar-24 14:18:35 - INFO - Copying model version 'dev_machinelearning.alf.alf_lightgbm/2' to 'prod_bronzeinternal.grid.alf_lightgbm_prod'
MlflowClient SRC:
client.tracking_uri: databricks://dev-env
client._registry_uri: databricks-uc://dev-env
Credentials
host: https://xxx.azuredatabricks.net/
username: None
password: None
token: xxx
aws_sigv4: False
auth: None
ignore_tls_verification: None
client_cert_path: None
server_cert_path: None
mlflow fluent:
mlflow.tracking_uri: file:///workspaces/dataplatform/mlruns
mlflow.registry_uri: file:///workspaces/dataplatform/mlruns
MlflowClient DST:
client.tracking_uri: databricks://prod-env
client._registry_uri: databricks-uc://prod-env
Credentials
host: https://xxx.azuredatabricks.net/
username: None
password: None
token: xxx
aws_sigv4: False
auth: None
ignore_tls_verification: None
client_cert_path: None
server_cert_path: None
mlflow fluent:
mlflow.tracking_uri: file:///workspaces/dataplatform/mlruns
mlflow.registry_uri: file:///workspaces/dataplatform/mlruns
Traceback (most recent call last):
File "/workspaces/dataplatform/.github/workflows/scripts/export_model.py", line 27, in
src_model_version, dst_model_version = copy(
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/copy/copy_model_version.py", line 70, in copy
_create_registered_model(src_client, src_model_name, dst_client, dst_model_name, copy_permissions)
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/copy/copy_model_version.py", line 87, in _create_registered_model
if not utils.calling_databricks() or not copy_permissions:
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/common/utils.py", line 24, in calling_databricks
dbx_client = dbx_client or DatabricksHttpClient()
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/client/http_client.py", line 204, in init
super().init("api/2.0", host, token)
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/client/http_client.py", line 89, in init
(host, token) = mlflow_auth_utils.get_mlflow_host_token()
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/client/mlflow_auth_utils.py", line 24, in get_mlflow_host_token
_raise_exception(uri)
File "/home/vscode/.local/lib/python3.10/site-packages/mlflow_export_import/client/mlflow_auth_utils.py", line 42, in _raise_exception
raise MlflowExportImportException(
mlflow_export_import.common.MlflowExportImportException: {"message": "MLflow tracking URI (MLFLOW_TRACKING_URI environment variable) must be an HTTP URI: 'file:///workspaces/dataplatform/mlruns'.", "http_status_code": 401}

Proposed fix

In commen.mlflow_utils in set_experiment change to

    """
    Set experiment name.
    For Databricks, create the workspace directory if it doesn't exist.
    :return: Experiment
    """
    if utils.calling_databricks(dbx_client=dbx_client):
        create_workspace_dir(dbx_client, os.path.dirname(exp_name))
    try:
....

passing the dbx_client

and also change in copy.copy_model_version in _create_registered_model

    model_exists = copy_utils.create_registered_model(dst_client, dst_model_name)
    if not copy_permissions:
        return
...

removing the calling_databricks. Alternative the client needs to be passed here for authentication.