# flake8: noqa
# yapf: disable
import functools
import getpass
import math
import os
from datetime import datetime
from typing import Any, Dict, List, Optional

import tabulate
from mmengine import ConfigDict

from .default import DefaultSummarizer


class MultiFacetedSummarizer(DefaultSummarizer):

    def __init__(self, config: ConfigDict, dataset_abbrs_list: Optional[Dict[str, List[str]]] = None, summary_groups: List = []) -> None:
        super().__init__(config, dataset_abbrs=None, summary_groups=summary_groups)
        self.dataset_abbrs_list = dataset_abbrs_list

    def summarize(self, output_path: str = None, time_str: str = datetime.now().strftime('%Y%m%d_%H%M%S')):

        # pick up results
        raw_results, parsed_results, dataset_metrics, dataset_eval_mode = self._pick_up_results()

        # calculate group metrics
        raw_results, parsed_results, dataset_metrics, dataset_eval_mode = \
            self._calculate_group_metrics(raw_results, parsed_results, dataset_metrics, dataset_eval_mode)

        for dataset_abbrs_item in self.dataset_abbrs_list:
            profile_name = dataset_abbrs_item['name']
            profile_dataset_abbrs = dataset_abbrs_item['dataset_abbrs']

            # format table
            table = self._format_table(parsed_results, dataset_metrics, dataset_eval_mode, required_dataset_abbrs=profile_dataset_abbrs)

            # output to screen
            print(tabulate.tabulate(table, headers='firstrow', floatfmt='.2f'))

            # output to .text / .csv files
            output_csv_path = os.path.join(self.work_dir, 'summary', f'summary_{time_str}', f'{profile_name}.csv')
            os.makedirs(os.path.dirname(output_csv_path), exist_ok=True)
            with open(output_csv_path, 'w', encoding='utf-8') as f:
                f.write('\n'.join([','.join(row) for row in table]) + '\n')
            self.logger.info(f'write csv to {os.path.abspath(output_csv_path)}')