Standardized imports
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0e98fe6225
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@ -84,7 +84,7 @@ def import_workout_csv(vault: ObsidianVault, rows: Rows) -> int:
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def import_step_counts_csv(vault: ObsidianVault, rows: Rows) -> int:
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MINIMUM = 300
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MINIMUM_STEPS = 300
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num_updated = 0
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@ -100,7 +100,7 @@ def import_step_counts_csv(vault: ObsidianVault, rows: Rows) -> int:
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}
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for date, steps in steps_per_date.items():
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if steps < MINIMUM:
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if steps < MINIMUM_STEPS:
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continue
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was_updated = vault.add_statistic(date, 'Steps', steps)
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if was_updated:
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@ -167,18 +167,6 @@ def import_activity_sample_csv(
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return num_updated
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def import_activity_sample_csv_from_file(
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vault: ObsidianVault,
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data_path: Path,
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content_mapper,
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**kwargs,
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) -> int:
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rows = load_csv_file(data_path)
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logger.info('Loaded CSV with %d lines (%s)', len(rows), data_path)
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num_updated = import_activity_sample_csv(vault, rows, content_mapper, **kwargs)
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logger.info('Updated %d files', num_updated)
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def map_watched_series_content(sample: RealizedActivitySample) -> EventContent:
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subject = sample.single_label_with_category('series.name')
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comment = '{} Episode {}: *{}*'.format(
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@ -203,49 +191,34 @@ def map_games_played_content(sample: RealizedActivitySample) -> EventContent:
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)
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def import_watched_series_csv_from_file(vault: ObsidianVault) -> int:
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data_path = Path('output/show_episodes_watched.csv')
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return import_activity_sample_csv_from_file(
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vault,
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data_path,
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map_watched_series_content,
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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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PATH_WORKOUT = Path('/home/jmaa/Notes/workout.csv')
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PATH_STEP_COUNTS = Path(
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'/home/jmaa/personal-archive/misc-data/step_counts_2023-07-26_to_2024-09-21.csv',
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)
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def import_played_games_csv_from_file(vault: ObsidianVault) -> int:
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data_path = Path('output/games_played.csv')
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if not data_path.exists():
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logger.warning('Skipping import of played games: %s is missing', data_path)
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return 0
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return import_activity_sample_csv_from_file(
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vault,
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data_path,
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map_games_played_content,
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group_category='game.name',
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)
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IMPORTERS = [
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{'path': PATH_WORKOUT, 'import_rows': import_workout_csv},
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{'path': PATH_STEP_COUNTS, 'import_rows': import_step_counts_csv},
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{'path': PATH_PLAYED, 'import_rows': lambda vault, rows: import_activity_sample_csv(vault, rows, map_games_played_content, group_category='game.name',) },
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{'path': PATH_WATCHED, 'import_rows': lambda vault, rows: import_activity_sample_csv(vault, rows, map_watched_series_content) },
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]
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def import_data(obsidian_path: Path, dry_run=True):
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vault = ObsidianVault(obsidian_path, read_only=dry_run and 'silent' or None)
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if False:
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data_path = Path('/home/jmaa/Notes/workout.csv')
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rows = load_csv_file(data_path)
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for import_def in IMPORTERS:
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if not import_def['path'].exists():
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logger.warning('Skipping %s: %s is missing', import_def['import_rows'], import_def['path'])
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continue
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rows = load_csv_file(import_def['path'])
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logger.info('Loaded CSV with %d lines', len(rows))
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num_updated = import_workout_csv(vault, rows)
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logger.info('Updated %d files', num_updated)
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num_files_updated = import_def['import_rows'](vault, rows)
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logger.info('Updated %d files', num_files_updated)
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del import_def, rows
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if False:
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data_path = Path(
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'/home/jmaa/personal-archive/misc-data/step_counts_2023-07-26_to_2024-09-21.csv',
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)
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rows = load_csv_file(data_path)
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logger.info('Loaded CSV with %d lines', len(rows))
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num_updated = import_step_counts_csv(vault, rows)
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logger.info('Updated %d files', num_updated)
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import_played_games_csv_from_file(vault)
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import_watched_series_csv_from_file(vault)
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num_dirty = len([f for f in vault.internal_file_text_cache.values() if f.is_dirty])
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logger.info('dirty files in cache: %d', num_dirty)
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