Ruff
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@ -194,8 +194,9 @@ def import_activity_samples(
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group_category: str | None = None,
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default_estimated_duration: datetime.timedelta | None = None,
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) -> int:
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samples = heuristically_realize_samples(raw_samples,
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default_estimated_duration=default_estimated_duration)
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samples = heuristically_realize_samples(
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raw_samples, default_estimated_duration=default_estimated_duration,
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)
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if group_category is not None:
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samples = merge_adjacent_samples(list(samples), group_category)
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@ -233,6 +234,7 @@ def import_activity_samples(
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return num_updated
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def import_activity_sample_csv(
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vault: ObsidianVault,
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rows: Rows,
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@ -273,7 +275,11 @@ def import_wanikani_events(vault: ObsidianVault, rows: Rows):
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for row in rows:
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for k in keys:
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if k in row:
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raw_samples.append(ActivitySample([Label('application.name', 'WaniKani')], None, row[k]))
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raw_samples.append(
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ActivitySample(
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[Label('application.name', 'WaniKani')], None, row[k],
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),
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)
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del k
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del row
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@ -285,9 +291,14 @@ def import_wanikani_events(vault: ObsidianVault, rows: Rows):
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comment='',
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)
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return import_activity_samples(vault, raw_samples, mapper,
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group_category='application.name',
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default_estimated_duration=datetime.timedelta(minutes=5))
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return import_activity_samples(
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vault,
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raw_samples,
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mapper,
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group_category='application.name',
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default_estimated_duration=datetime.timedelta(minutes=5),
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)
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PATH_WATCHED = Path('output/show_episodes_watched.csv')
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PATH_PLAYED = Path('output/games_played.csv')
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@ -300,7 +311,11 @@ PATH_STEPMANIA = Path('output/stepmania.csv')
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IMPORTERS = [
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{'path': PATH_WANIKANI, 'standard_variant': True, 'import_rows': import_wanikani_events},
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{
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'path': PATH_WANIKANI,
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'standard_variant': True,
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'import_rows': import_wanikani_events,
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},
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{'path': PATH_WORKOUT, 'standard_variant': True, 'import_rows': import_workout_csv},
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{'path': PATH_STEP_COUNTS, 'import_rows': import_step_counts_csv},
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{
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