def test_start_run_with_parent():
parent_run = mock.Mock()
mock_experiment_id = "123456"
mock_source_name = mock.Mock()
active_run_stack_patch = mock.patch(
"mlflow.tracking.fluent._active_run_stack", [parent_run])
mock_user = mock.Mock()
user_patch = mock.patch(
"mlflow.tracking.context.default_context._get_user",
return_value=mock_user)
source_name_patch = mock.patch(
"mlflow.tracking.context.default_context._get_source_name",
return_value=mock_source_name)
expected_tags = {
mlflow_tags.MLFLOW_USER: mock_user,
mlflow_tags.MLFLOW_SOURCE_NAME: mock_source_name,
mlflow_tags.MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.LOCAL),
mlflow_tags.MLFLOW_PARENT_RUN_ID: parent_run.info.run_id,
}
create_run_patch = mock.patch.object(MlflowClient, "create_run")
with multi_context(
active_run_stack_patch,
create_run_patch,
user_patch,
source_name_patch,
):
active_run = start_run(experiment_id=mock_experiment_id, nested=True)
MlflowClient.create_run.assert_called_once_with(
experiment_id=mock_experiment_id, tags=expected_tags)
assert is_from_run(active_run, MlflowClient.create_run.return_value)
def test_databricks_repo_run_context_tags_nones():
patch_git_repo_url = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_url", return_value=None)
patch_git_repo_provider = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_provider",
return_value=None)
patch_git_repo_commit = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_commit", return_value=None)
patch_git_repo_relative_path = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_relative_path",
return_value=None)
patch_git_repo_reference = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_reference",
return_value=None)
patch_git_repo_reference_type = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_reference_type",
return_value=None)
patch_git_repo_status = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_status", return_value=None)
with multi_context(
patch_git_repo_url,
patch_git_repo_provider,
patch_git_repo_commit,
patch_git_repo_relative_path,
patch_git_repo_reference,
patch_git_repo_reference_type,
patch_git_repo_status,
):
assert DatabricksRepoRunContext().tags() == {}
def test_databricks_job_default_experiment_id():
job_id = "job_id"
exp_name = "jobs:/" + str(job_id)
patch_job_id = mock.patch("mlflow.utils.databricks_utils.get_job_id",
return_value=job_id)
patch_job_type = mock.patch(
"mlflow.utils.databricks_utils.get_job_type_info",
return_value="NORMAL")
patch_experiment_name_from_job_id = mock.patch(
"mlflow.utils.databricks_utils.get_experiment_name_from_job_id",
return_value=exp_name)
experiment_id = "experiment_id"
create_experiment = mock.patch.object(MlflowClient,
"create_experiment",
return_value=experiment_id)
with multi_context(patch_job_id, patch_job_type,
patch_experiment_name_from_job_id,
create_experiment) as (
job_id_mock,
job_type_info_mock,
experiment_name_from_job_id_mock,
create_experiment_mock,
):
tags = {}
tags[MLFLOW_DATABRICKS_JOB_TYPE_INFO] = job_type_info_mock.return_value
tags[MLFLOW_EXPERIMENT_SOURCE_TYPE] = SourceType.to_string(
SourceType.JOB)
tags[MLFLOW_EXPERIMENT_SOURCE_ID] = job_id_mock.return_value
assert DatabricksJobExperimentProvider().get_experiment_id(
) == experiment_id
create_experiment_mock.assert_called_once_with(
experiment_name_from_job_id_mock.return_value, None, tags)
def test_databricks_notebook_run_context_tags():
patch_notebook_id = mock.patch(
"mlflow.utils.databricks_utils.get_notebook_id")
patch_notebook_path = mock.patch(
"mlflow.utils.databricks_utils.get_notebook_path")
patch_webapp_url = mock.patch(
"mlflow.utils.databricks_utils.get_webapp_url")
patch_workspace_info = mock.patch(
"mlflow.utils.databricks_utils.get_workspace_info_from_dbutils",
return_value=("https://databricks.com", "123456"),
)
with multi_context(patch_notebook_id, patch_notebook_path,
patch_webapp_url, patch_workspace_info) as (
notebook_id_mock,
notebook_path_mock,
webapp_url_mock,
workspace_info_mock,
):
assert DatabricksNotebookRunContext().tags() == {
MLFLOW_SOURCE_NAME: notebook_path_mock.return_value,
MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.NOTEBOOK),
MLFLOW_DATABRICKS_NOTEBOOK_ID: notebook_id_mock.return_value,
MLFLOW_DATABRICKS_NOTEBOOK_PATH: notebook_path_mock.return_value,
MLFLOW_DATABRICKS_WEBAPP_URL: webapp_url_mock.return_value,
MLFLOW_DATABRICKS_WORKSPACE_URL:
workspace_info_mock.return_value[0],
MLFLOW_DATABRICKS_WORKSPACE_ID:
workspace_info_mock.return_value[1],
}
def test_databricks_job_run_context_tags():
patch_job_id = mock.patch("mlflow.utils.databricks_utils.get_job_id")
patch_job_run_id = mock.patch(
"mlflow.utils.databricks_utils.get_job_run_id")
patch_job_type = mock.patch("mlflow.utils.databricks_utils.get_job_type")
patch_webapp_url = mock.patch(
"mlflow.utils.databricks_utils.get_webapp_url")
with multi_context(patch_job_id, patch_job_run_id, patch_job_type,
patch_webapp_url) as (
job_id_mock,
job_run_id_mock,
job_type_mock,
webapp_url_mock,
):
assert DatabricksJobRunContext().tags() == {
MLFLOW_SOURCE_NAME:
"jobs/{job_id}/run/{job_run_id}".format(
job_id=job_id_mock.return_value,
job_run_id=job_run_id_mock.return_value),
MLFLOW_SOURCE_TYPE:
SourceType.to_string(SourceType.JOB),
MLFLOW_DATABRICKS_JOB_ID:
job_id_mock.return_value,
MLFLOW_DATABRICKS_JOB_RUN_ID:
job_run_id_mock.return_value,
MLFLOW_DATABRICKS_JOB_TYPE:
job_type_mock.return_value,
MLFLOW_DATABRICKS_WEBAPP_URL:
webapp_url_mock.return_value,
}
def test_start_run_defaults_databricks_notebook(empty_active_run_stack, ): # pylint: disable=unused-argument
mock_experiment_id = mock.Mock()
experiment_id_patch = mock.patch(
"mlflow.tracking.fluent._get_experiment_id",
return_value=mock_experiment_id)
databricks_notebook_patch = mock.patch(
"mlflow.utils.databricks_utils.is_in_databricks_notebook",
return_value=True)
mock_user = mock.Mock()
user_patch = mock.patch(
"mlflow.tracking.context.default_context._get_user",
return_value=mock_user)
mock_source_version = mock.Mock()
source_version_patch = mock.patch(
"mlflow.tracking.context.git_context._get_source_version",
return_value=mock_source_version)
mock_notebook_id = mock.Mock()
notebook_id_patch = mock.patch(
"mlflow.utils.databricks_utils.get_notebook_id",
return_value=mock_notebook_id)
mock_notebook_path = mock.Mock()
notebook_path_patch = mock.patch(
"mlflow.utils.databricks_utils.get_notebook_path",
return_value=mock_notebook_path)
mock_webapp_url = mock.Mock()
webapp_url_patch = mock.patch(
"mlflow.utils.databricks_utils.get_webapp_url",
return_value=mock_webapp_url)
expected_tags = {
mlflow_tags.MLFLOW_USER: mock_user,
mlflow_tags.MLFLOW_SOURCE_NAME: mock_notebook_path,
mlflow_tags.MLFLOW_SOURCE_TYPE:
SourceType.to_string(SourceType.NOTEBOOK),
mlflow_tags.MLFLOW_GIT_COMMIT: mock_source_version,
mlflow_tags.MLFLOW_DATABRICKS_NOTEBOOK_ID: mock_notebook_id,
mlflow_tags.MLFLOW_DATABRICKS_NOTEBOOK_PATH: mock_notebook_path,
mlflow_tags.MLFLOW_DATABRICKS_WEBAPP_URL: mock_webapp_url,
}
create_run_patch = mock.patch.object(MlflowClient, "create_run")
with multi_context(
experiment_id_patch,
databricks_notebook_patch,
user_patch,
source_version_patch,
notebook_id_patch,
notebook_path_patch,
webapp_url_patch,
create_run_patch,
):
active_run = start_run()
MlflowClient.create_run.assert_called_once_with(
experiment_id=mock_experiment_id, tags=expected_tags)
assert is_from_run(active_run, MlflowClient.create_run.return_value)
def test_start_run_creates_new_run_with_user_specified_tags():
mock_experiment_id = mock.Mock()
experiment_id_patch = mock.patch(
"mlflow.tracking.fluent._get_experiment_id", return_value=mock_experiment_id
)
databricks_notebook_patch = mock.patch(
"mlflow.tracking.fluent.is_in_databricks_notebook", return_value=False
)
mock_user = mock.Mock()
user_patch = mock.patch(
"mlflow.tracking.context.default_context._get_user", return_value=mock_user
)
mock_source_name = mock.Mock()
source_name_patch = mock.patch(
"mlflow.tracking.context.default_context._get_source_name", return_value=mock_source_name
)
source_type_patch = mock.patch(
"mlflow.tracking.context.default_context._get_source_type", return_value=SourceType.NOTEBOOK
)
mock_source_version = mock.Mock()
source_version_patch = mock.patch(
"mlflow.tracking.context.git_context._get_source_version", return_value=mock_source_version
)
user_specified_tags = {
"ml_task": "regression",
"num_layers": 7,
mlflow_tags.MLFLOW_USER: "******",
}
expected_tags = {
mlflow_tags.MLFLOW_SOURCE_NAME: mock_source_name,
mlflow_tags.MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.NOTEBOOK),
mlflow_tags.MLFLOW_GIT_COMMIT: mock_source_version,
mlflow_tags.MLFLOW_USER: "******",
"ml_task": "regression",
"num_layers": 7,
}
create_run_patch = mock.patch.object(MlflowClient, "create_run")
with multi_context(
experiment_id_patch,
databricks_notebook_patch,
user_patch,
source_name_patch,
source_type_patch,
source_version_patch,
create_run_patch,
):
active_run = start_run(tags=user_specified_tags)
MlflowClient.create_run.assert_called_once_with(
experiment_id=mock_experiment_id, tags=expected_tags
)
assert is_from_run(active_run, MlflowClient.create_run.return_value)
def test_databricks_repo_run_context_tags():
patch_git_repo_url = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_url")
patch_git_repo_provider = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_provider")
patch_git_repo_commit = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_commit")
patch_git_repo_relative_path = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_relative_path")
patch_git_repo_reference = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_reference")
patch_git_repo_reference_type = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_reference_type")
patch_git_repo_status = mock.patch(
"mlflow.utils.databricks_utils.get_git_repo_status")
with multi_context(
patch_git_repo_url,
patch_git_repo_provider,
patch_git_repo_commit,
patch_git_repo_relative_path,
patch_git_repo_reference,
patch_git_repo_reference_type,
patch_git_repo_status,
) as (
git_repo_url_mock,
git_repo_provider_mock,
git_repo_commit_mock,
git_repo_relative_path_mock,
git_repo_reference_mock,
git_repo_reference_type_mock,
git_repo_status_mock,
):
assert DatabricksRepoRunContext().tags() == {
MLFLOW_DATABRICKS_GIT_REPO_URL:
git_repo_url_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_PROVIDER:
git_repo_provider_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_COMMIT:
git_repo_commit_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_RELATIVE_PATH:
git_repo_relative_path_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_REFERENCE:
git_repo_reference_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_REFERENCE_TYPE:
git_repo_reference_type_mock.return_value,
MLFLOW_DATABRICKS_GIT_REPO_STATUS:
git_repo_status_mock.return_value,
}
def test_start_run_defaults(empty_active_run_stack): # pylint: disable=unused-argument
mock_experiment_id = mock.Mock()
experiment_id_patch = mock.patch(
"mlflow.tracking.fluent._get_experiment_id", return_value=mock_experiment_id
)
databricks_notebook_patch = mock.patch(
"mlflow.tracking.fluent.is_in_databricks_notebook", return_value=False
)
mock_user = mock.Mock()
user_patch = mock.patch(
"mlflow.tracking.context.default_context._get_user", return_value=mock_user
)
mock_source_name = mock.Mock()
source_name_patch = mock.patch(
"mlflow.tracking.context.default_context._get_source_name", return_value=mock_source_name
)
source_type_patch = mock.patch(
"mlflow.tracking.context.default_context._get_source_type", return_value=SourceType.NOTEBOOK
)
mock_source_version = mock.Mock()
source_version_patch = mock.patch(
"mlflow.tracking.context.git_context._get_source_version", return_value=mock_source_version
)
expected_tags = {
mlflow_tags.MLFLOW_USER: mock_user,
mlflow_tags.MLFLOW_SOURCE_NAME: mock_source_name,
mlflow_tags.MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.NOTEBOOK),
mlflow_tags.MLFLOW_GIT_COMMIT: mock_source_version,
}
create_run_patch = mock.patch.object(MlflowClient, "create_run")
with multi_context(
experiment_id_patch,
databricks_notebook_patch,
user_patch,
source_name_patch,
source_type_patch,
source_version_patch,
create_run_patch,
):
active_run = start_run()
MlflowClient.create_run.assert_called_once_with(
experiment_id=mock_experiment_id, tags=expected_tags
)
assert is_from_run(active_run, MlflowClient.create_run.return_value)
def test_databricks_notebook_run_context_tags():
patch_notebook_id = mock.patch("mlflow.utils.databricks_utils.get_notebook_id")
patch_notebook_path = mock.patch("mlflow.utils.databricks_utils.get_notebook_path")
patch_webapp_url = mock.patch("mlflow.utils.databricks_utils.get_webapp_url")
with multi_context(patch_notebook_id, patch_notebook_path, patch_webapp_url) as (
notebook_id_mock,
notebook_path_mock,
webapp_url_mock,
):
assert DatabricksNotebookRunContext().tags() == {
MLFLOW_SOURCE_NAME: notebook_path_mock.return_value,
MLFLOW_SOURCE_TYPE: SourceType.to_string(SourceType.NOTEBOOK),
MLFLOW_DATABRICKS_NOTEBOOK_ID: notebook_id_mock.return_value,
MLFLOW_DATABRICKS_NOTEBOOK_PATH: notebook_path_mock.return_value,
MLFLOW_DATABRICKS_WEBAPP_URL: webapp_url_mock.return_value,
}
def test_databricks_job_run_context_tags():
patch_job_id = mock.patch("mlflow.utils.databricks_utils.get_job_id")
patch_job_run_id = mock.patch(
"mlflow.utils.databricks_utils.get_job_run_id")
patch_job_type = mock.patch("mlflow.utils.databricks_utils.get_job_type")
patch_webapp_url = mock.patch(
"mlflow.utils.databricks_utils.get_webapp_url")
patch_workspace_info = mock.patch(
"mlflow.utils.databricks_utils.get_workspace_info_from_dbutils",
return_value=("https://databricks.com", "123456"),
)
with multi_context(patch_job_id, patch_job_run_id, patch_job_type,
patch_webapp_url, patch_workspace_info) as (
job_id_mock,
job_run_id_mock,
job_type_mock,
webapp_url_mock,
workspace_info_mock,
):
assert DatabricksJobRunContext().tags() == {
MLFLOW_SOURCE_NAME:
"jobs/{job_id}/run/{job_run_id}".format(
job_id=job_id_mock.return_value,
job_run_id=job_run_id_mock.return_value),
MLFLOW_SOURCE_TYPE:
SourceType.to_string(SourceType.JOB),
MLFLOW_DATABRICKS_JOB_ID:
job_id_mock.return_value,
MLFLOW_DATABRICKS_JOB_RUN_ID:
job_run_id_mock.return_value,
MLFLOW_DATABRICKS_JOB_TYPE:
job_type_mock.return_value,
MLFLOW_DATABRICKS_WEBAPP_URL:
webapp_url_mock.return_value,
MLFLOW_DATABRICKS_WORKSPACE_URL:
workspace_info_mock.return_value[0],
MLFLOW_DATABRICKS_WORKSPACE_ID:
workspace_info_mock.return_value[1],
}
