using my own resonance tester algorithm
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@@ -57,7 +57,6 @@ class GraphCreator(abc.ABC):
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new_file = self._folder / f'{self._type}_{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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fm.wait_file_ready(new_file)
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lognames.append(new_file)
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return lognames
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@@ -98,9 +97,9 @@ class BeltsGraphCreator(GraphCreator):
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def create_graph(self) -> None:
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lognames = self._move_and_prepare_files(
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glob_pattern='raw_data_axis*.csv',
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glob_pattern='shaketune-belt_*.csv',
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min_files_required=2,
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custom_name_func=lambda f: f.stem.split('_')[3].upper(),
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custom_name_func=lambda f: f.stem.split('_')[1].upper(),
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)
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fig = belts_calibration(
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lognames=[str(path) for path in lognames],
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@@ -245,15 +244,13 @@ class AxesMapFinder(GraphCreator):
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def find_axesmap(self) -> None:
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tmp_folder = Path('/tmp')
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globbed_files = list(tmp_folder.glob(f'{self._chip_name}-*.csv'))
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globbed_files = list(tmp_folder.glob('shaketune-axemap_*.csv'))
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if not globbed_files:
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raise FileNotFoundError('no CSV files found in the /tmp folder to find the axes map!')
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# Find the CSV files with the latest timestamp and wait for it to be released by Klipper
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# Find the CSV files with the latest timestamp and process it
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logname = sorted(globbed_files, key=lambda f: f.stat().st_mtime, reverse=True)[0]
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fm.wait_file_ready(logname)
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results = axesmap_calibration(
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lognames=[str(logname)],
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accel=self._accel,
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@@ -271,6 +268,6 @@ class AxesMapFinder(GraphCreator):
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def clean_old_files(self, keep_results: int) -> None:
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tmp_folder = Path('/tmp')
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globbed_files = list(tmp_folder.glob(f'{self._chip_name}-*.csv'))
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globbed_files = list(tmp_folder.glob('shaketune-axemap_*.csv'))
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for csv_file in globbed_files:
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csv_file.unlink()
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