#
# 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.

import pandas as pd
from uuid import uuid4

def epoch_to_datetime(epoch_string):
    """
    Turns Unix/Epoch DateTime string into a unix-based int
    :param epoch_string: Unix/Epoch DateTime string (e.g., UserALE:clientTime)
    :return: int
    """

    new_datetime = (pd.to_datetime(epoch_string, unit='ms', origin='unix') - pd.Timestamp('1970-01-01')) // pd.Timedelta('1ms')
    return new_datetime

def getUUID(log):
    """
    Creates a unique id for a userale log.
    :param log: Userale log in the form of a dictionary
    :return: A string representing a unique identifier for the log
    """
    
    if 'type' in log:
        return str(log['sessionID']) + str(log['clientTime']) + str(log['logType']) + str(log['type'])
    else:
        return str(log['sessionID']) + str(log['clientTime']) + str(log['logType'])

