zero323 commented on a change in pull request #27165: [SPARK-28264][PYTHON][SQL] Support type hints in pandas UDF and rename/move inconsistent pandas UDF types URL: https://github.com/apache/spark/pull/27165#discussion_r366284428
########## File path: python/pyspark/sql/pandas/typehints.py ########## @@ -0,0 +1,114 @@ +# +# 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. +# +from pyspark.sql.pandas.utils import require_minimum_pandas_version + + +def infer_eval_type(sig): + """ + Infers the evaluation type in :class:`pyspark.rdd.PythonEvalType` from + :class:`inspect.Signature` instance. + """ + from pyspark.sql.pandas.functions import PandasUDFType + + require_minimum_pandas_version() + + import pandas as pd + + annotations = {} + for param in sig.parameters.values(): + if param.annotation is not param.empty: + annotations[param.name] = param.annotation + + # Check if all arguments have type hints + parameters_sig = [annotations[parameter] for parameter + in sig.parameters if parameter in annotations] + if len(parameters_sig) != len(sig.parameters): + raise ValueError( + "Type hints for all parameters should be specified; however, got %s" % sig) + + # Check if the return has a type hint + return_annotation = sig.return_annotation + if sig.empty is return_annotation: + raise ValueError( + "Type hint for the return type should be specified; however, got %s" % sig) + + # Series or Frame, ... -> Series or Frame + is_series_or_frame = ( + all(a == pd.Series or a == pd.DataFrame for a in parameters_sig) and Review comment: Could we maybe ```python from typing import Union all( issubclass(a, (pd.Series, pd.DataFrame)) or a == Union[pd.Series, pd.DataFrame] for a in parameters_sig ) and ... ``` to support cases where user doesn't know if input is atomic or struct? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
