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- # -*- coding: utf-8 -*-
- """
- @author: yq
- @time: 2024/11/1
- @desc:
- """
- import pandas as pd
- from data import DataLoaderMysql, DataLoaderBase
- from entitys import DbConfigEntity, MetricFucEntity
- from metrics import MetricBase
- from monitor import MonitorMetric
- class A(MetricBase):
- def __init__(self, file_path: str, sheet_name: str = 0, *args, **kwargs):
- super().__init__(*args, **kwargs)
- self._file_path = file_path
- self._sheet_name = sheet_name
- def _load_data(self, data_loader: DataLoaderBase, *args, **kwargs) -> pd.DataFrame:
- data = data_loader.get_data(self._file_path, self._sheet_name)
- return data
- def calculate(self, *args, **kwargs) -> MetricFucEntity:
- data = self._load_data()
- return MetricFucEntity(table=data, value='1', image_path='cache/image/t1.png')
- if __name__ == "__main__":
- # f_register_metric_func(A)
- data_loader = DataLoaderMysql(DbConfigEntity.from_config("./config/mysql_config.json"))
- monitor_metric = MonitorMetric("./config/model_monitor_config_template.json")
- monitor_metric.calculate_metric(data_loader=data_loader)
- monitor_metric.generate_report()
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