infra: improve unit tests for creating Transformers and transform jobs

tests/unit/test_transformer.py

@@ -96,6 +96,64 @@ def test_transformer_fails_without_model():
     )
 
 
+def test_transformer_init(sagemaker_session):
+    transformer = Transformer(
+        MODEL_NAME, INSTANCE_COUNT, INSTANCE_TYPE, sagemaker_session=sagemaker_session
+    )
+
+    assert transformer.model_name == MODEL_NAME
+    assert transformer.instance_count == INSTANCE_COUNT
+    assert transformer.instance_type == INSTANCE_TYPE
+    assert transformer.sagemaker_session == sagemaker_session
+
+    assert transformer._current_job_name is None
+    assert transformer.latest_transform_job is None
+    assert transformer._reset_output_path is False
+
+
+def test_transformer_init_optional_params(sagemaker_session):
+    strategy = "MultiRecord"
+    assemble_with = "Line"
+    accept = "text/csv"
+    max_concurrent_transforms = 100
+    max_payload = 100
+    tags = {"Key": "foo", "Value": "bar"}
+    env = {"FOO": "BAR"}
+
+    transformer = Transformer(
+        MODEL_NAME,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        strategy=strategy,
+        assemble_with=assemble_with,
+        output_path=OUTPUT_PATH,
+        output_kms_key=KMS_KEY_ID,
+        accept=accept,
+        max_concurrent_transforms=max_concurrent_transforms,
+        max_payload=max_payload,
+        tags=tags,
+        env=env,
+        base_transform_job_name=JOB_NAME,
+        sagemaker_session=sagemaker_session,
+        volume_kms_key=KMS_KEY_ID,
+    )
+
+    assert transformer.model_name == MODEL_NAME
+    assert transformer.strategy == strategy
+    assert transformer.env == env
+    assert transformer.output_path == OUTPUT_PATH
+    assert transformer.output_kms_key == KMS_KEY_ID
+    assert transformer.accept == accept
+    assert transformer.assemble_with == assemble_with
+    assert transformer.instance_count == INSTANCE_COUNT
+    assert transformer.instance_type == INSTANCE_TYPE
+    assert transformer.volume_kms_key == KMS_KEY_ID
+    assert transformer.max_concurrent_transforms == max_concurrent_transforms
+    assert transformer.max_payload == max_payload
+    assert transformer.tags == tags
+    assert transformer.base_transform_job_name == JOB_NAME
+
+
 @patch("sagemaker.transformer._TransformJob.start_new")
 def test_transform_with_all_params(start_new_job, transformer):
     content_type = "text/csv"
@@ -333,29 +391,78 @@ def test_prepare_init_params_from_job_description_all_keys(transformer):
 
 
 # _TransformJob tests
-def test_start_new(transformer, sagemaker_session):
+@patch("sagemaker.transformer._TransformJob._load_config")
+@patch("sagemaker.transformer._TransformJob._prepare_data_processing")
+def test_start_new(prepare_data_processing, load_config, sagemaker_session):
+    input_config = "input"
+    output_config = "output"
+    resource_config = "resource"
+    load_config.return_value = {
+        "input_config": input_config,
+        "output_config": output_config,
+        "resource_config": resource_config,
+    }
+
+    strategy = "MultiRecord"
+    max_concurrent_transforms = 100
+    max_payload = 100
+    tags = {"Key": "foo", "Value": "bar"}
+    env = {"FOO": "BAR"}
+
+    transformer = Transformer(
+        MODEL_NAME,
+        INSTANCE_COUNT,
+        INSTANCE_TYPE,
+        strategy=strategy,
+        output_path=OUTPUT_PATH,
+        max_concurrent_transforms=max_concurrent_transforms,
+        max_payload=max_payload,
+        tags=tags,
+        env=env,
+        sagemaker_session=sagemaker_session,
+    )
     transformer._current_job_name = JOB_NAME
 
-    job = _TransformJob(sagemaker_session, JOB_NAME)
-    started_job = job.start_new(
-        transformer,
-        DATA,
-        S3_DATA_TYPE,
-        None,
-        None,
-        None,
-        None,
-        None,
-        None,
-        {"ExperimentName": "exp"},
+    content_type = "text/csv"
+    compression_type = "Gzip"
+    split_type = "Line"
+    io_filter = "$"
+    join_source = "Input"
+    job = _TransformJob.start_new(
+        transformer=transformer,
+        data=DATA,
+        data_type=S3_DATA_TYPE,
+        content_type=content_type,
+        compression_type=compression_type,
+        split_type=split_type,
+        input_filter=io_filter,
+        output_filter=io_filter,
+        join_source=join_source,
+        experiment_config={"ExperimentName": "exp"},
     )
 
-    assert started_job.sagemaker_session == sagemaker_session
-    sagemaker_session.transform.assert_called_once()
+    assert job.sagemaker_session == sagemaker_session
+    assert job.job_name == JOB_NAME
 
-    called_args = sagemaker_session.transform.call_args
+    load_config.assert_called_with(
+        DATA, S3_DATA_TYPE, content_type, compression_type, split_type, transformer
+    )
+    prepare_data_processing.assert_called_with(io_filter, io_filter, join_source)
 
-    assert called_args[1]["experiment_config"] == {"ExperimentName": "exp"}
+    sagemaker_session.transform.assert_called_with(
+        job_name=JOB_NAME,
+        model_name=MODEL_NAME,
+        strategy=strategy,
+        max_concurrent_transforms=max_concurrent_transforms,
+        max_payload=max_payload,
+        env=env,
+        input_config=input_config,
+        output_config=output_config,
+        resource_config=resource_config,
+        experiment_config={"ExperimentName": "exp"},
+        tags=tags,
+        data_processing=prepare_data_processing.return_value,
+    )
 
 
 def test_load_config(transformer):