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119 lines (105 loc) · 4.08 KB
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# Copyright 2024 Google LLC
#
# Licensed 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 collections.abc import Mapping
from datetime import datetime
from typing import Optional, Union
import bigframes_vendored.constants as constants
import bigframes_vendored.pandas.core.tools.datetimes as vendored_pandas_datetimes
import pandas as pd
import bigframes.dataframe
import bigframes.dtypes
import bigframes.operations as ops
import bigframes.series
def to_datetime(
arg: Union[
Union[int, float, str, datetime],
vendored_pandas_datetimes.local_iterables,
bigframes.series.Series,
bigframes.dataframe.DataFrame,
],
*,
utc: bool = False,
format: Optional[str] = None,
unit: Optional[str] = None,
) -> Union[pd.Timestamp, datetime, bigframes.series.Series]:
if isinstance(arg, (int, float, str, datetime)):
return pd.to_datetime(
arg,
utc=utc,
format=format,
unit=unit,
)
if isinstance(arg, (Mapping, pd.DataFrame, bigframes.dataframe.DataFrame)):
raise NotImplementedError(
"Conversion of Mapping, pandas.DataFrame, or bigframes.dataframe.DataFrame "
f"to datetime is not implemented. {constants.FEEDBACK_LINK}"
)
arg = bigframes.series.Series(arg)._cached()
if format and unit and arg.dtype in (bigframes.dtypes.INT_DTYPE, bigframes.dtypes.FLOAT_DTYPE): # type: ignore
raise ValueError("cannot specify both format and unit")
if unit and arg.dtype not in (bigframes.dtypes.INT_DTYPE, bigframes.dtypes.FLOAT_DTYPE): # type: ignore
raise NotImplementedError(
f"Unit parameter is not supported for non-numerical input types. {constants.FEEDBACK_LINK}"
)
if arg.dtype in (bigframes.dtypes.TIMESTAMP_DTYPE, bigframes.dtypes.DATETIME_DTYPE):
to_type = (
bigframes.dtypes.TIMESTAMP_DTYPE if utc else bigframes.dtypes.DATETIME_DTYPE
)
return arg._apply_unary_op(ops.AsTypeOp(to_type=to_type)) # type: ignore
if (not utc) and arg.dtype == bigframes.dtypes.STRING_DTYPE:
if format:
raise NotImplementedError(
f"Customized formats are not supported for string inputs when utc=False. Please set utc=True if possible. {constants.FEEDBACK_LINK}"
)
assert unit is None
as_datetime = arg._apply_unary_op( # type: ignore
ops.ToDatetimeOp(
format=format,
unit=unit,
)
)
failed_datetime_cast = arg.notnull() & as_datetime.isnull()
is_utc = arg._apply_unary_op(
ops.EndsWithOp(
pat=("Z", "-00:00", "+00:00", "-0000", "+0000", "-00", "+00")
)
)
# Cast to DATETIME shall succeed if all inputs are tz-naive.
if not failed_datetime_cast.any():
return as_datetime
if is_utc.all():
return arg._apply_unary_op( # type: ignore
ops.ToTimestampOp(
format=format,
unit=unit,
)
)
raise NotImplementedError(
f"Non-UTC string inputs are not supported when utc=False. Please set utc=True if possible. {constants.FEEDBACK_LINK}"
)
# If utc:
elif utc:
return arg._apply_unary_op( # type: ignore
ops.ToTimestampOp(
format=format,
unit=unit,
)
)
else:
return arg._apply_unary_op( # type: ignore
ops.ToDatetimeOp(
format=format,
unit=unit,
)
)