TheNeuralBit commented on a change in pull request #11787:
URL: https://github.com/apache/beam/pull/11787#discussion_r434919303
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File path: sdks/python/apache_beam/dataframe/doctests.py
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@@ -66,30 +93,19 @@ def __init__(self):
self._all_frames = {}
def fake_pandas_module(self):
- class FakePandas(object):
- """A stand-in for the pandas top-level module.
- """
- # For now, only populated with the frame types (below).
- # TODO(BEAM-9561): We may want to put more here.
- pass
-
- fake_pd = FakePandas()
- for pandas_type, deferred_type in DeferredFrame._pandas_type_map.items():
- setattr(
- fake_pd,
- pandas_type.__name__,
- self._deferred_frame(pandas_type, deferred_type))
-
- return fake_pd
-
- def _deferred_frame(self, pandas_type, deferred_type):
+ return FakePandasObject(pd, self)
+
+ def _deferred_frame(self, pandas_callable):
"""Creates a "constructor" that record the actual value as an input and
returns a placeholder frame in its place."""
def wrapper(*args, **kwargs):
- df = pandas_type(*args, **kwargs)
- placeholder = expressions.PlaceholderExpression(df[0:0])
- self._inputs[placeholder] = df
- return deferred_type(placeholder)
+ df = pandas_callable(*args, **kwargs)
+ if type(df) in DeferredFrame._pandas_type_map.keys():
+ placeholder = expressions.PlaceholderExpression(df[0:0])
+ self._inputs[placeholder] = df
+ return DeferredFrame.wrap(placeholder)
+ else:
+ return df
Review comment:
It looks like this is inlined in `FakePandasObject.__call__` now, we
should either remove `_deferred_frame` or call it from FakePandasObject. I
think I'm partial to the latter since the method modifies `_inputs`, but either
way is fine.
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