# -*- coding: utf-8 -*-
# @Time    : 2024/5/17
# @Author  : 魏志亮
import datetime

import pandas as pd

from base.TranseParam import TranseParam
from base.WindFarms import WindFarms
from utils.conf.read_conf import read_yaml_file, read_param_from_yaml_file
from utils.db.trans_mysql import get_exec_data
from utils.log.trans_log import trans_print, logger, init_log


def init_params() -> list[WindFarms]:
    df = get_exec_data()
    print(df)
    exec_subjects = list()

    path = r'D:\transdata\test\虹梯官风电场-山西-大唐\高频数据2.zip'
    changshang_name = '虹梯官风电场'
    # read_type = 'minute'
    read_type = 'second'
    batch_no = 'batch_' + str(datetime.datetime.now().strftime('%Y%m%d'))

    df = pd.DataFrame(columns=['batch_no', 'transfer_type', 'transfer_file_addr', 'field_code', 'field_name'],
                      data=[
                          [batch_no, read_type, path, 'WOF01000002', changshang_name]])

    if df is None:
        trans_print("当前任务正在执行")

    if df.empty:
        trans_print("当前没有需要执行的任务")
    else:
        for batch_no, transfer_type, transfer_file_addr, field_code, field_name in zip(df['batch_no'],
                                                                                       df['transfer_type'],
                                                                                       df['transfer_file_addr'],
                                                                                       df['field_code'],
                                                                                       df['field_name']):
            init_log(batch_no, field_name, transfer_type)

            yaml_datas = read_yaml_file(field_name, transfer_type)
            time_col = read_param_from_yaml_file(yaml_datas, 'time_col')
            wind_col = read_param_from_yaml_file(yaml_datas, 'wind_col')
            wind_name_exec = read_param_from_yaml_file(yaml_datas, 'wind_name_exec', None)
            cols_trans_all = read_param_from_yaml_file(yaml_datas, 'trans_col')
            wind_full_name = read_param_from_yaml_file(yaml_datas, 'wind_full_name')
            is_vertical_table = read_param_from_yaml_file(yaml_datas, 'is_vertical_table', False)
            vertical_cols = read_param_from_yaml_file(yaml_datas['vertical_table_conf'], 'read_cols', list())
            vertical_key = read_param_from_yaml_file(yaml_datas['vertical_table_conf'], 'col_key')
            vertical_value = read_param_from_yaml_file(yaml_datas['vertical_table_conf'], 'col_value')
            index_cols = read_param_from_yaml_file(yaml_datas['vertical_table_conf'], 'index_cols')
            merge_columns = read_param_from_yaml_file(yaml_datas, 'merge_columns', False)
            trans_col_exec = read_param_from_yaml_file(yaml_datas, 'trans_col_exec')
            need_valid_cols = read_param_from_yaml_file(yaml_datas, 'need_valid_cols', True)

            trans_subject = WindFarms(field_name, batch_no=batch_no, field_code=field_code,
                                      wind_full_name=wind_full_name)

            params = TranseParam(read_type=transfer_type, read_path=transfer_file_addr,
                                 cols_tran=cols_trans_all, time_col=time_col, wind_col=wind_col,
                                 wind_name_exec=wind_name_exec, is_vertical_table=is_vertical_table,
                                 vertical_cols=vertical_cols, vertical_key=vertical_key,
                                 vertical_value=vertical_value, index_cols=index_cols, merge_columns=merge_columns,
                                 trans_col_exec=trans_col_exec, need_valid_cols=need_valid_cols)

            trans_subject.set_trans_param(params)
            exec_subjects.append(trans_subject)
    return exec_subjects


if __name__ == '__main__':
    exec_subjects = init_params()
    for exec_subject in exec_subjects:
        try:
            exec_subject.run()

            # exec_subject.delete_batch_db()
            # exec_subject.mutiprocessing_to_save_db()
        except Exception as e:
            print(e)
            logger.exception(e)