metric_test.py 1.1 KB

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  1. # -*- coding: utf-8 -*-
  2. """
  3. @author: yq
  4. @time: 2024/11/1
  5. @desc:
  6. """
  7. import pandas as pd
  8. from data import DataLoaderMysql, DataLoaderBase
  9. from entitys import DbConfigEntity, MetricFucEntity
  10. from metrics import MetricBase
  11. from monitor import MonitorMetric
  12. class A(MetricBase):
  13. def __init__(self, file_path: str, sheet_name: str = 0, *args, **kwargs):
  14. super().__init__(*args, **kwargs)
  15. self._file_path = file_path
  16. self._sheet_name = sheet_name
  17. def _load_data(self, data_loader: DataLoaderBase, *args, **kwargs) -> pd.DataFrame:
  18. data = data_loader.get_data(self._file_path, self._sheet_name)
  19. return data
  20. def calculate(self, *args, **kwargs) -> MetricFucEntity:
  21. data = self._load_data()
  22. return MetricFucEntity(table=data, value='1', image_path='cache/image/t1.png')
  23. if __name__ == "__main__":
  24. # f_register_metric_func(A)
  25. data_loader = DataLoaderMysql(DbConfigEntity.from_config("./config/mysql_config.json"))
  26. monitor_metric = MonitorMetric("./config/model_monitor_config_template.json")
  27. monitor_metric.calculate_metric(data_loader=data_loader)
  28. monitor_metric.generate_report()