# Copyright 2022-2023 ETSI TeraFlowSDN - TFS OSG (https://tfs.etsi.org/)
#
# 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.

import logging, pandas
from typing import List, Optional

LOGGER = logging.getLogger(__name__)
LOGGER.setLevel(logging.INFO)

class InMemoryTimeSeriesDatabase:
    def __init__(self) -> None:
        self._data = pandas.DataFrame(columns=['timestamp', 'kpi_uuid', 'value'])

    def filter(
        self, kpi_uuids : List[str] = [], start_timestamp : Optional[float] = None,
        end_timestamp : Optional[float] = None
    ) -> pandas.DataFrame:
        data = self._data
        if len(kpi_uuids) > 0: data = data[data.kpi_uuid in kpi_uuids]
        if start_timestamp is not None: data = data[data.timestamp >= pandas.to_datetime(start_timestamp)]
        if end_timestamp   is not None: data = data[data.timestamp <= pandas.to_datetime(end_timestamp  )]
        return data