bzablocki commented on code in PR #27338:
URL: https://github.com/apache/beam/pull/27338#discussion_r1266464237


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sdks/python/apache_beam/yaml/yaml_transform_ut_test.py:
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@@ -0,0 +1,301 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements.  See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License.  You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+import logging
+import unittest
+
+import yaml
+
+import apache_beam as beam
+from apache_beam.yaml import yaml_provider
+from apache_beam.yaml import yaml_transform
+from apache_beam.yaml.yaml_transform import LightweightScope
+from apache_beam.yaml.yaml_transform import SafeLineLoader
+from apache_beam.yaml.yaml_transform import Scope
+from apache_beam.yaml.yaml_transform import expand_composite_transform
+from apache_beam.yaml.yaml_transform import expand_leaf_transform
+from apache_beam.yaml.yaml_transform import pipeline_as_composite
+
+
+class YamlTransformTest(unittest.TestCase):
+  def test_only_element(self):
+    self.assertEqual(yaml_transform.only_element((1, )), 1)
+
+
+class SafeLineLoaderTest(unittest.TestCase):
+  def test_get_line(self):
+    pipeline_yaml = '''
+          type: composite
+          input:
+              elements: input
+          transforms:
+            - type: PyMap
+              name: Square
+              input: elements
+              fn: "lambda x: x * x"
+            - type: PyMap
+              name: Cube
+              input: elements
+              fn: "lambda x: x * x * x"
+          output:
+              Flatten
+          '''
+    spec = yaml.load(pipeline_yaml, Loader=SafeLineLoader)
+    self.assertEqual(SafeLineLoader.get_line(spec['type']), 2)
+    self.assertEqual(SafeLineLoader.get_line(spec['input']), 4)
+    self.assertEqual(SafeLineLoader.get_line(spec['transforms'][0]), 6)
+    self.assertEqual(SafeLineLoader.get_line(spec['transforms'][0]['type']), 6)
+    self.assertEqual(SafeLineLoader.get_line(spec['transforms'][0]['name']), 7)
+    self.assertEqual(SafeLineLoader.get_line(spec['transforms'][1]), 10)
+    self.assertEqual(SafeLineLoader.get_line(spec['output']), 15)
+    self.assertEqual(SafeLineLoader.get_line(spec['transforms']), "unknown")
+
+  def test_strip_metadata(self):
+    spec_yaml = '''
+    transforms:
+      - type: PyMap
+        name: Square
+    '''
+    spec = yaml.load(spec_yaml, Loader=SafeLineLoader)
+    stripped = SafeLineLoader.strip_metadata(spec['transforms'])
+
+    self.assertFalse(hasattr(stripped[0], '__line__'))
+    self.assertFalse(hasattr(stripped[0], '__uuid__'))
+
+  def test_strip_metadata_nothing_to_strip(self):
+    spec_yaml = 'prop: 123'
+    spec = yaml.load(spec_yaml, Loader=SafeLineLoader)
+    stripped = SafeLineLoader.strip_metadata(spec['prop'])
+
+    self.assertFalse(hasattr(stripped, '__line__'))
+    self.assertFalse(hasattr(stripped, '__uuid__'))
+
+
+class LightweightScopeTest(unittest.TestCase):
+  @staticmethod
+  def get_spec():
+    pipeline_yaml = '''
+          - type: PyMap
+            name: Square
+            input: elements
+            fn: "lambda x: x * x"
+          - type: PyMap
+            name: PyMap
+            input: elements
+            fn: "lambda x: x * x * x"
+          - type: Filter
+            name: FilterOutBigNumbers
+            input: PyMap 
+            keep: "lambda x: x<100"
+          '''
+    return yaml.load(pipeline_yaml, Loader=SafeLineLoader)
+
+  def test_init(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    self.assertEqual(len(scope._transforms_by_uuid), 3)
+    self.assertCountEqual(
+        list(scope._uuid_by_name.keys()),
+        ["PyMap", "Square", "Filter", "FilterOutBigNumbers"])
+
+  def test_get_transform_id_and_output_name(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    transform_id, output = scope.get_transform_id_and_output_name("Square")
+    self.assertEqual(transform_id, spec[0]['__uuid__'])
+    self.assertEqual(output, None)
+
+  def test_get_transform_id_and_output_name_with_dot(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    transform_id, output = \
+      scope.get_transform_id_and_output_name("Square.OutputName")
+    self.assertEqual(transform_id, spec[0]['__uuid__'])
+    self.assertEqual(output, "OutputName")
+
+  def test_get_transform_id_by_uuid(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    transform_id = scope.get_transform_id(spec[0]['__uuid__'])
+    self.assertEqual(transform_id, spec[0]['__uuid__'])
+
+  def test_get_transform_id_by_unique_name(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    transform_id = scope.get_transform_id("Square")
+    self.assertEqual(transform_id, spec[0]['__uuid__'])
+
+  def test_get_transform_id_by_ambiguous_name(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    with self.assertRaisesRegex(ValueError, r'Ambiguous.*PyMap'):
+      scope.get_transform_id(scope.get_transform_id(spec[1]['name']))
+
+  def test_get_transform_id_by_unknown_name(self):
+    spec = self.get_spec()
+    scope = LightweightScope(spec)
+    with self.assertRaisesRegex(ValueError, r'Unknown.*NotExistingTransform'):
+      scope.get_transform_id("NotExistingTransform")
+
+
+def new_pipeline():
+  return beam.Pipeline(
+      options=beam.options.pipeline_options.PipelineOptions(
+          pickle_library='cloudpickle'))
+
+
+class MainTest(unittest.TestCase):
+  def get_scope_by_spec(self, p, spec, inputs=None):
+    if inputs is None:
+      inputs = {}
+    spec = yaml.load(spec, Loader=SafeLineLoader)
+
+    scope = Scope(
+        beam.pvalue.PBegin(p),
+        inputs,
+        spec['transforms'],
+        yaml_provider.standard_providers(), {})
+    return scope, spec
+
+  def test_expand_leaf_transform_with_input(self):
+    with new_pipeline() as p:
+      spec = '''
+          transforms:
+          - type: Create
+            elements: [0]
+          - type: PyMap
+            input: Create
+            fn: "lambda x: x*x"
+          '''
+      scope, spec = self.get_scope_by_spec(p, spec)
+      result = expand_leaf_transform(spec['transforms'][1], scope)

Review Comment:
   ok, removing `test_expand_leaf_transform_with_input()` and 
`test_expand_leaf_transform_without_input()`



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