robertwb commented on a change in pull request #13252: URL: https://github.com/apache/beam/pull/13252#discussion_r517707816
########## File path: sdks/python/apache_beam/dataframe/pandas_top_level_functions.py ########## @@ -0,0 +1,148 @@ +# +# 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. + +"""A module providing various functionality from the top-level pandas namespace. +""" + +import re +from typing import Mapping + +import pandas as pd + +from apache_beam.dataframe import expressions +from apache_beam.dataframe import frame_base +from apache_beam.dataframe import partitionings + + +def _call_on_first_arg(name): + def wrapper(target, *args, **kwargs): + if isinstance(target, frame_base.DeferredBase): + return getattr(target, name)(*args, **kwargs) + else: + return getattr(pd, name)(target, *args, **kwargs) + + return staticmethod(wrapper) + + +def _defer_to_pandas(name): + def wrapper(*args, **kwargs): + res = getattr(pd, name)(*args, **kwargs) + if type(res) in frame_base.DeferredBase._pandas_type_map.keys(): + return DeferredBase.wrap(expressions.ConstantExpression(res, res[0:0])) + else: + return res + + return staticmethod(wrapper) + + +def _is_top_level_function(o): + return ( + callable(o) and not isinstance(o, type) and hasattr(o, '__name__') and + re.match('[a-z].*', o.__name__)) + + +class DeferredPandasModule(object): + array = _defer_to_pandas('array') + bdate_range = _defer_to_pandas('bdate_range') + + @staticmethod + @frame_base.args_to_kwargs(pd) + @frame_base.populate_defaults(pd) + def concat( + objs, + axis, + join, + ignore_index, + keys, + levels, + names, + verify_integrity, + sort, + copy): + + if ignore_index: + raise NotImplementedError('concat(ignore_index)') + if levels: + raise NotImplementedError('concat(levels)') + + if isinstance(objs, Mapping): + if keys is None: + keys = list(objs.keys()) + objs = [objs[k] for k in keys] + else: + objs = list(objs) + deferred_none = expressions.ConstantExpression(None) + exprs = [deferred_none if o is None else o._expr for o in objs] + + if axis in (1, 'columns'): + required_partitioning = partitionings.Index() + elif verify_integrity: + required_partitioning = partitionings.Index() + else: + required_partitioning = partitionings.Nothing() + + return frame_base.DeferredBase.wrap( + expressions.ComputedExpression( + 'concat', + lambda *objs: pd.concat( + objs, + axis=axis, + join=join, + ignore_index=ignore_index, + keys=keys, + levels=levels, + names=names, + verify_integrity=verify_integrity), # yapf break + exprs, + requires_partition_by=required_partitioning, + preserves_partition_by=partitionings.Index())) + + date_range = _defer_to_pandas('date_range') + describe_option = _defer_to_pandas('describe_option') + factorize = _call_on_first_arg('factorize') + get_option = _defer_to_pandas('get_option') + interval_range = _defer_to_pandas('interval_range') + isna = _call_on_first_arg('isna') + isnull = _call_on_first_arg('isnull') + json_normalize = _defer_to_pandas('json_normalize') + melt = _call_on_first_arg('melt') + merge = _call_on_first_arg('merge') + melt = _call_on_first_arg('melt') + merge_ordered = frame_base.wont_implement_method('order-sensitive') + notna = _call_on_first_arg('notna') + notnull = _call_on_first_arg('notnull') + option_context = _defer_to_pandas('option_context') + period_range = _defer_to_pandas('period_range') + pivot = _call_on_first_arg('pivot') + pivot_table = _call_on_first_arg('pivot_table') + show_versions = _defer_to_pandas('show_versions') + test = frame_base.wont_implement_method('test') + timedelta_range = _defer_to_pandas('timedelta_range') + to_pickle = frame_base.wont_implement_method('order-sensitive') + notna = _call_on_first_arg('notna') + + def __getattr__(self, name): + if name.startswith('read_'): + return frame_base.wont_implement_method( + 'Use p | apache_beam.dataframe.io.%s' % name) Review comment: We should probably populate that module with the missing `read_` ones then. I'll take a pass after this PR. ---------------------------------------------------------------- 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: [email protected]
