73 lines
2.7 KiB
Python
73 lines
2.7 KiB
Python
import abc
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import shutil
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from datetime import datetime
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from pathlib import Path
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from typing import Callable, List, Optional
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from matplotlib.figure import Figure
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from ..shaketune_config import ShakeTuneConfig
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class GraphCreator(abc.ABC):
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def __init__(self, config: ShakeTuneConfig, graph_type: str):
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self._config = config
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self._graph_date = datetime.now().strftime('%Y%m%d_%H%M%S')
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self._version = ShakeTuneConfig.get_git_version()
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self._type = graph_type
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self._folder = self._config.get_results_folder(graph_type)
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def _move_and_prepare_files(
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self,
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glob_pattern: str,
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min_files_required: Optional[int] = None,
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custom_name_func: Optional[Callable[[Path], str]] = None,
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) -> List[Path]:
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tmp_path = Path('/tmp')
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globbed_files = list(tmp_path.glob(glob_pattern))
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# If min_files_required is not set, use the number of globbed files as the minimum
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min_files_required = min_files_required or len(globbed_files)
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if not globbed_files:
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raise FileNotFoundError(f'no CSV files found in the /tmp folder to create the {self._type} graphs!')
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if len(globbed_files) < min_files_required:
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raise FileNotFoundError(f'{min_files_required} CSV files are needed to create the {self._type} graphs!')
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lognames = []
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for filename in sorted(globbed_files, key=lambda f: f.stat().st_mtime, reverse=True)[:min_files_required]:
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custom_name = custom_name_func(filename) if custom_name_func else filename.name
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new_file = self._folder / f"{self._type.replace(' ', '')}_{self._graph_date}_{custom_name}.csv"
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# shutil.move() is needed to move the file across filesystems (mainly for BTT CB1 Pi default OS image)
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shutil.move(filename, new_file)
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lognames.append(new_file)
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return lognames
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def _save_figure_and_cleanup(self, fig: Figure, lognames: List[Path], axis_label: Optional[str] = None) -> None:
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axis_suffix = f'_{axis_label}' if axis_label else ''
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png_filename = self._folder / f"{self._type.replace(' ', '')}_{self._graph_date}{axis_suffix}.png"
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fig.savefig(png_filename, dpi=self._config.dpi)
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if self._config.keep_csv:
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self._archive_files(lognames)
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else:
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self._remove_files(lognames)
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def _archive_files(self, lognames: List[Path]) -> None:
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return
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def _remove_files(self, lognames: List[Path]) -> None:
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for csv in lognames:
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csv.unlink(missing_ok=True)
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def get_type(self) -> str:
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return self._type
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@abc.abstractmethod
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def create_graph(self) -> None:
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pass
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@abc.abstractmethod
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def clean_old_files(self, keep_results: int) -> None:
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pass
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