Source code for pm4py.util.dt_parsing.variants.strpfromiso

'''
    PM4Py – A Process Mining Library for Python
Copyright (C) 2024 Process Intelligence Solutions UG (haftungsbeschränkt)

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as
published by the Free Software Foundation, either version 3 of the
License, or any later version.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU Affero General Public License for more details.

You should have received a copy of the GNU Affero General Public License
along with this program.  If not, see this software project's root or
visit <https://www.gnu.org/licenses/>.

Website: https://processintelligence.solutions
Contact: info@processintelligence.solutions
'''
from datetime import datetime, timezone
from pm4py.util import constants




def fix_dataframe_column(serie):
    if constants.ENABLE_DATETIME_COLUMNS_AWARE:
        # Convert to UTC if the datetime is naive
        if serie.dt.tz is None:
            serie = serie.dt.tz_localize("UTC")
        else:
            # Convert to UTC if it's not already in UTC
            serie = serie.dt.tz_convert("UTC")
    else:
        serie = serie.dt.tz_localize(None)

    return serie





def fix_naivety(dt):
    if constants.ENABLE_DATETIME_COLUMNS_AWARE:
        dt = dt.replace(tzinfo=timezone.utc)
    else:
        dt = dt.replace(tzinfo=None)

    return dt





def apply(dt):
    """
    Parses the string to a datetime object (uses Python default strptime)

    Parameters
    --------------
    dt
        Date string

    Returns
    --------------
    datetime
        Datetime object
    """
    if dt.endswith("Z"):
        # Z at the end of date means UTC, but that is not ISO format.
        # Replace "Z" with "+00:00" that is also UTC
        dt = dt[:-1] + "+00:00"
    dt = datetime.fromisoformat(dt)

    return fix_naivety(dt)