#!/usr/bin/env python
# -*- coding: utf-8 -*-

#
#  Copyright 2019 The FATE Authors. All Rights Reserved.
#
#  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 federatedml.model_selection.stepwise.hetero_stepwise import HeteroStepwise
from federatedml.util import LOGGER
from federatedml.util import consts


def _get_stepwise_param(model):
    model.model_param.stepwise_param.role = model.role
    model.model_param.stepwise_param.mode = model.mode
    return model.model_param.stepwise_param


def run(model, train_data, validate_data=None):
    if not model.need_run:
        return train_data
    if model.mode == consts.HETERO:
        step_obj = HeteroStepwise()
    else:
        raise ValueError("stepwise currently only support Hetero mode.")
    stepwise_param = _get_stepwise_param(model)
    step_obj.run(stepwise_param, train_data, validate_data, model)
    pred_result = HeteroStepwise.predict(train_data, model)
    LOGGER.info("Finish running Stepwise")
    return pred_result
