"""
 Copyright 2024 Intel Corporation

 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

      https://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 .base import BaseFeatureGenerator as super_class
from pyrecdp.core.schema import SeriesSchema
from pyrecdp.primitives.operations import Operation
import pandas as pd

def get_default_value(at: SeriesSchema):
    if at.is_boolean:
        return False
    elif at.is_numeric:
        return -1
    elif at.is_datetime:
        return 0
    elif at.is_string:
        return ""
    return None

class FillNaFeatureGenerator(super_class):
    def __init__(self, **kwargs):
        super().__init__(**kwargs)

    def fit_prepare(self, pipeline, children, max_idx):
        pa_schema = pipeline[children[0]].output
        self._fillna_feature_map = {}
        for field in pa_schema:
            default_value = get_default_value(field)
            if default_value != None:
                self._fillna_feature_map[field.name] = default_value
        if len(self._fillna_feature_map) > 0:
            cur_idx = max_idx + 1
            config = self._fillna_feature_map
            pipeline[cur_idx] = Operation(cur_idx, children, pa_schema, op = 'fillna', config = config)
            return pipeline, cur_idx, cur_idx
        else:
            return pipeline, children[0], max_idx

