saavannanavati commented on a change in pull request #12352:
URL: https://github.com/apache/beam/pull/12352#discussion_r471163295
##########
File path: sdks/python/apache_beam/typehints/typecheck.py
##########
@@ -265,3 +268,89 @@ def visit_transform(self, applied_transform):
transform.get_type_hints(),
applied_transform.full_label),
applied_transform.full_label)
+
+
+class PerformanceTypeCheckVisitor(pipeline.PipelineVisitor):
+
+ _in_combine = False
+ combine_classes = (
+ core.CombineFn,
+ core.CombinePerKey,
+ core.CombineValuesDoFn,
+ core.CombineValues,
+ core.CombineGlobally)
+
+ def enter_composite_transform(self, applied_transform):
+ if isinstance(applied_transform.transform, self.combine_classes):
+ self._in_combine = True
+
+ def leave_composite_transform(self, applied_transform):
+ if isinstance(applied_transform.transform, self.combine_classes):
+ self._in_combine = False
+
+ def visit_transform(self, applied_transform):
+ transform = applied_transform.transform
+ if isinstance(transform, core.ParDo) and not self._in_combine:
+ # Prefix label with 'ParDo' if necessary
+ full_label = applied_transform.full_label
+ if not full_label.startswith('ParDo'):
+ full_label = 'ParDo(%s)' % full_label
+
+ # Store output type hints in current transform
+ transform.fn._runtime_output_constraints = {}
+ output_type_hints = self.get_output_type_hints(transform)
+ if output_type_hints:
+ transform.fn._runtime_output_constraints[full_label] = (
+ output_type_hints)
+
+ # Store input type hints in producer transform
+ producer = applied_transform.inputs[0].producer
+ input_type_hints = self.get_input_type_hints(transform)
+ if input_type_hints:
+ producer.transform._add_type_constraint_from_consumer(
+ full_label, input_type_hints)
+
+ def get_input_type_hints(self, transform):
+ type_hints = transform.get_type_hints()
+
+ input_types = None
+ if type_hints.input_types:
+ normal_hints, kwarg_hints = type_hints.input_types
+ if kwarg_hints:
+ input_types = kwarg_hints
+ if normal_hints:
+ input_types = normal_hints
+
+ parameter_name = 'Unknown Parameter'
+ try:
+ argspec = inspect.getfullargspec(transform.fn._process_argspec_fn())
+ if len(argspec.args):
+ arg_index = 0
+ if argspec.args[0] == 'self':
+ arg_index = 1
+ parameter_name = argspec.args[arg_index]
+ if isinstance(input_types, dict):
+ input_types = (input_types[argspec.args[arg_index]], )
+ except TypeError:
Review comment:
This was leftover from something else, I'll remove it.
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