138 lines
4.0 KiB
Python
138 lines
4.0 KiB
Python
"""Obsidian Import.
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Sub-module for importing time-based data into Obsidian.
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"""
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import datetime
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from logging import getLogger
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from pathlib import Path
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from typing import Any
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from personal_data.util import load_csv_file
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from .obsidian import Event, ObsidianVault
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logger = getLogger(__name__)
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Row = dict[str, Any]
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Rows = list[Row]
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def import_workout_csv(vault: ObsidianVault, rows: Rows) -> int:
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num_updated = 0
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for row in rows:
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date = row['Date']
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was_updated = False
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mapping = {
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'Cycling (mins)': ('Cycling (Duration)', 'minutes'),
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'Cycling (kcals)': ('Cycling (kcals)', ''),
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'Weight (Kg)': ('Weight (Kg)', ''),
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}
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for input_key, (output_key, unit) in mapping.items():
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v = row.get(input_key)
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if v is not None:
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if unit:
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v = str(v) + ' ' + unit
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was_updated |= vault.add_statistic(date, output_key, v)
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if input_key != output_key:
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was_updated |= vault.add_statistic(date, input_key, None)
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del input_key, output_key, unit, v
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if was_updated:
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num_updated += 1
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del row, date
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return num_updated
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def import_step_counts_csv(vault: ObsidianVault, rows: Rows) -> int:
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MINIMUM = 300
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num_updated = 0
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rows_per_date = {}
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for row in rows:
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date = row['Start'].date()
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rows_per_date.setdefault(date, [])
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rows_per_date[date].append(row)
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del date, row
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steps_per_date = {
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date: sum(row['Steps'] for row in rows) for date, rows in rows_per_date.items()
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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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continue
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was_updated = vault.add_statistic(date, 'Steps', steps)
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if was_updated:
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num_updated += 1
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del date, steps, was_updated
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return num_updated
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def import_watched_series_csv(vault: ObsidianVault, rows: Rows) -> int:
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# TODO: Update to using git_time_tracker event parsing system
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verb = 'Watched'
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num_updated = 0
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rows_per_date = {}
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for row in rows:
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date = row['me.last_played_time'].date()
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rows_per_date.setdefault(date, [])
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rows_per_date[date].append(row)
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del date, row
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del rows
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def map_to_event(row: Row) -> Event:
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start = (
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row['me.last_played_time'].time().replace(second=0, microsecond=0, fold=0)
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)
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end = start
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comment = '{} Episode {}: *{}*'.format(
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row['season.name'],
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row['episode.index'],
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row['episode.name'],
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)
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return Event(start, end, verb, row['series.name'], comment)
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for date, rows in rows_per_date.items():
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events = [map_to_event(row) for row in rows]
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was_updated = vault.add_events(date, events)
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if was_updated:
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num_updated += 1
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del date, was_updated
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return num_updated
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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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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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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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if True:
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data_path = Path('output/show_episodes_watched.csv')
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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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rows = rows[:7]
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num_updated = import_watched_series_csv(vault, rows)
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logger.info('Updated %d files', num_updated)
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