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personal-data/obsidian_import/__init__.py

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"""Obsidian Import.
Sub-module for importing time-based data into Obsidian.
"""
import datetime
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
from .obsidian import ObsidianVault
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logger = getLogger(__name__)
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def import_workout_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> int:
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num_updated = 0
for row in rows:
date = row['Date']
was_updated = False
mapping = {
'Cycling (mins)': ('Cycling (Duration)', 'minutes'),
'Cycling (kcals)': ('Cycling (kcals)', ''),
'Weight (Kg)': ('Weight (Kg)', ''),
}
for input_key, (output_key, unit) in mapping.items():
v = row.get(input_key)
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if v is not None:
if unit:
v = str(v) + ' ' + unit
was_updated |= vault.add_statistic(date, output_key, v)
if input_key != output_key:
was_updated |= vault.add_statistic(date, input_key, None)
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del input_key, output_key, unit, v
if was_updated:
num_updated += 1
del row, date
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return num_updated
def import_step_counts_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> int:
MINIMUM = 300
num_updated = 0
rows_per_day = {}
for row in rows:
date = row['Start'].date()
rows_per_day.setdefault(date, [])
rows_per_day[date].append(row)
del date, row
steps_per_day = { date: sum(row['Steps'] for row in rows) for date, rows in rows_per_day.items()}
for date, steps in steps_per_day.items():
if steps < MINIMUM:
continue
was_updated = vault.add_statistic(date, 'Steps', steps)
if was_updated:
num_updated += 1
del date, steps, was_updated
return num_updated
def import_data(obsidian_path: Path, dry_run=True):
vault = ObsidianVault(obsidian_path, read_only=dry_run and 'silent' or None)
#data_path = Path('/home/jmaa/Notes/workout.csv')
data_path = Path('/home/jmaa/personal-archive/misc-data/step_counts_2023-07-26_to_2024-09-21.csv')
rows = load_csv_file(data_path)
logger.info('Loaded CSV with %d lines', len(rows))
#num_updated = import_workout_csv(vault, rows)
num_updated = import_step_counts_csv(vault, rows)
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logger.info('Updated %d files', num_updated)