# -*- coding: utf-8 -*-
"""
@author: yq
@time: 2024/11/1
@desc: 模型训练管道
"""
from typing import Dict

from entitys import DataSplitEntity, MetricFucEntity
from feature.filter_strategy_base import FilterStrategyBase
from init import init
from model import ModelBase
from monitor.report_generate import Report

init()


class TrainPipeline():
    def __init__(self, filter_strategy: FilterStrategyBase, model: ModelBase, data: DataSplitEntity):
        self._filter_strategy = filter_strategy
        self._model = model
        self._data = data
        self._model._train_config.set_save_path_func(self._filter_strategy.data_process_config.f_get_save_path)
        self._model._data_process_config = self._filter_strategy.data_process_config

    def train(self, ) -> Dict[str, MetricFucEntity]:
        # 处理数据，获取候选特征
        candidate_feature, numeric_candidate_dict_all = self._filter_strategy.filter(self._data)
        # 生成训练数据
        data_prepared = self._filter_strategy.feature_generate(self._data, candidate_feature)
        # 特征信息
        metric_value_dict_feature = self._filter_strategy.feature_report(self._data, candidate_feature, numeric_candidate_dict_all)

        metric_value_dict_train = self._model.train(data_prepared, *data_prepared.args, **data_prepared.kwargs)
        self.metric_value_dict = {**metric_value_dict_feature, **metric_value_dict_train}
        return self.metric_value_dict

    def generate_report(self, ):
        save_path = self._filter_strategy.data_process_config.f_get_save_path("模型报告.docx")
        Report.generate_report(self.metric_value_dict, self._model.get_template_path(), save_path=save_path)
        print(f"模型报告文件储存路径:{save_path}")


if __name__ == "__main__":
    pass