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15 changed files with 52 additions and 289 deletions

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@ -1,78 +0,0 @@
"""Obsidian Import.
Sub-module for importing time-based data into Obsidian.
"""
import datetime
from logging import getLogger
from pathlib import Path
from typing import Any
from personal_data.util import load_csv_file
from .obsidian import ObsidianVault
logger = getLogger(__name__)
def import_workout_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> int:
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)
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)
del input_key, output_key, unit, v
if was_updated:
num_updated += 1
del row, date
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)
logger.info('Updated %d files', num_updated)

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@ -1,31 +0,0 @@
import argparse
import logging
from pathlib import Path
from . import import_data
logger = logging.getLogger(__name__)
def parse_arguments():
parser = argparse.ArgumentParser()
parser.add_argument('--vault', type=Path, required=True)
parser.add_argument('--yes', action='store_false', dest='dry_run')
return parser.parse_args()
def main():
# Setup logging
logging.basicConfig()
logging.getLogger('obsidian_import').setLevel('INFO')
args = parse_arguments()
if args.dry_run:
logger.warning('Dry run')
import_data(args.vault, dry_run=args.dry_run)
if args.dry_run:
logger.warning('Dry run: Use --yes to execute')
if __name__ == '__main__':
main()

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@ -1,100 +0,0 @@
import datetime
import json
from decimal import Decimal
from logging import getLogger
from pathlib import Path
from typing import Any
import frontmatter
logger = getLogger(__name__)
StatisticKey = str
class ObsidianVault:
def __init__(self, vault_path: Path, read_only: bool = 'silent'):
self.vault_path = vault_path
assert (self.vault_path / '.obsidian').exists(), 'Not an Obsidian Vault'
with open(self.vault_path / '.obsidian' / 'daily-notes.json') as f:
daily_notes_config = json.load(f)
self.daily_folder = daily_notes_config['folder']
self.path_format = daily_notes_config['format']
self.template_file_path = daily_notes_config['template']
self.read_only = read_only
def get_statistic(
self, date: datetime.date, statistic_key: StatisticKey,
) -> Any | None:
try:
with open(self._date_file_path(date)) as f:
data = frontmatter.load(f)
except FileNotFoundError:
return None
return data.metadata.get(statistic_key)
def add_statistic(
self, date: datetime.date, statistic_key: StatisticKey, amount: Any,
) -> bool:
if self.read_only == 'silent':
logger.info(
'Real only ObsidianVault ignoring add_statistic(%s, "%s", %s)',
date,
statistic_key,
amount,
)
return False
self._create_date_if_not_present(date)
with open(self._date_file_path(date)) as f:
data = frontmatter.load(f)
if isinstance(amount, Decimal):
amount = float(amount)
if data.metadata.get(statistic_key) == amount:
return False
data.metadata[statistic_key] = amount
if amount is None:
del data.metadata[statistic_key]
with open(self._date_file_path(date), 'wb') as f:
frontmatter.dump(data, f)
return True
def add_event(self, date: datetime.date, verb: str, subject: str) -> None:
if self.read_only == 'silent':
logger.info(
'Real only ObsidianVault ignoring add_event(%s, "%s", ?)', date, verb,
)
return
self._create_date_if_not_present(date)
# TODO
def _create_date_if_not_present(self, date: datetime.date):
date_file = self._date_file_path(date)
if date_file.exists():
return
logger.info('File "%s" doesn\'t exist, creating...', date)
with open(self._daily_template_path()) as f:
template_text = f.read()
with open(date_file, 'w') as f:
f.write(template_text)
def _date_file_path(self, date: datetime.date):
path = (
self.path_format.replace('YYYY', str(date.year))
.replace('MM', f'{date.month:02d}')
.replace('DD', f'{date.day:02d}')
)
return (self.vault_path / self.daily_folder / path).with_suffix('.md')
def _daily_template_path(self):
return (self.vault_path / self.template_file_path).with_suffix('.md')

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@ -1 +1 @@
__version__ = '0.1.46'
__version__ = '0.1.45'

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@ -12,7 +12,6 @@ from .. import secrets
logger = logging.getLogger(__name__)
def get_client():
assert secrets.KUCOIN_KEY, 'Missing secret: KUCOIN_KEY'
assert secrets.KUCOIN_SECRET, 'Missing secret: KUCOIN_SECRET'

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@ -2,11 +2,10 @@ import dataclasses
import datetime
import logging
import re
import bs4
from .. import html_util, parse_util, secrets
from ..data import DeduplicateMode, Scraper
from .. import secrets, parse_util, html_util
logger = logging.getLogger(__name__)
@ -52,9 +51,7 @@ class LodestoneAchievementScraper(Scraper):
time_acquired,
).group(1)
time_acquired = int(time_acquired)
time_acquired = datetime.datetime.fromtimestamp(
time_acquired, tz=datetime.UTC,
)
time_acquired = datetime.datetime.fromtimestamp(time_acquired,tz=datetime.UTC)
trophy_desc = (
entry.select_one('.entry__activity__txt').get_text().strip()
)

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@ -1,47 +1,42 @@
import dataclasses
import datetime
import logging
from collections.abc import Iterator
import re
import bs4
from typing import Any
from collections.abc import Iterator
from jellyfin_apiclient_python import JellyfinClient
from .. import _version, secrets
from ..data import DeduplicateMode, Scraper
from .. import secrets, parse_util, html_util, _version
logger = logging.getLogger(__name__)
URL_SITE_ROOT = 'https://steamcommunity.com/'
URL_GAME_ACHIVEMENTS = URL_SITE_ROOT + 'id/{username}/stats/appid/{appid}'
URL_GAME_ACHIVEMENTS = URL_SITE_ROOT+'id/{username}/stats/appid/{appid}'
FORMAT_DATE_HEADER = '%d/%m/%YYYY'
def iterate_series(client):
result = client.jellyfin.user_items(
params={
result = client.jellyfin.user_items(params = {
'includeItemTypes': 'Series',
'parentId': 'a656b907eb3a73532e40e44b968d0225',
'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
},
)
})
yield from result['Items']
def iterate_watched_episodes_of_series(client, series_id: str):
result = client.jellyfin.user_items(
params={
result = client.jellyfin.user_items(params = {
'filters': 'IsPlayed',
'recursive': True,
'includeItemTypes': 'Episode',
'parentId': series_id,
'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
'fields': 'AirTime',
},
)
})
yield from result['Items']
@dataclasses.dataclass(frozen=True)
class JellyfinWatchHistoryScraper(Scraper):
dataset_name = 'show_episodes_watched'
@ -50,15 +45,12 @@ class JellyfinWatchHistoryScraper(Scraper):
def scrape(self) -> Iterator[dict[str, Any]]:
client = JellyfinClient()
client.config.app(
'personal_data', _version.__version__, 'test_machine', 'unique_id_1',
)
client.config.app('personal_data', _version.__version__,
'test_machine', 'unique_id_1')
client.config.data['auth.ssl'] = False
client.config.data["auth.ssl"] = False
client.auth.connect_to_address(secrets.JELLYFIN_URL)
client.auth.login(
secrets.JELLYFIN_URL, secrets.JELLYFIN_USERNAME, secrets.JELLYFIN_PASSWORD,
)
client.auth.login(secrets.JELLYFIN_URL, secrets.JELLYFIN_USERNAME, secrets.JELLYFIN_PASSWORD)
for series_data in iterate_series(client):
series_id = series_data['Id']
@ -78,3 +70,4 @@ class JellyfinWatchHistoryScraper(Scraper):
del episode_data
del series_data, series_id

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@ -4,13 +4,13 @@ import re
from collections.abc import Iterator
import bs4
import requests_util
import personal_data.html_util
from personal_data import secrets
from personal_data.data import DeduplicateMode, Scraper
from .. import parse_util
import requests_util
logger = logging.getLogger(__name__)
@ -27,7 +27,6 @@ def game_psnprofiles_id_from_url(relative_url: str) -> int:
MAX_NUMBER_GAMES_TO_PARSE = 1000
@dataclasses.dataclass(frozen=True)
class PsnProfilesScraper(Scraper):
dataset_name = 'games_played_playstation'
@ -58,7 +57,7 @@ class PsnProfilesScraper(Scraper):
requests_util.setup_limiter(
self.session,
URL_API_ROOT,
per_minute=5,
per_minute = 5,
)
def _scrape_games_overview(self) -> Iterator[dict]:

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@ -2,19 +2,18 @@ import dataclasses
import datetime
import logging
import re
from collections.abc import Iterator
from typing import Any
import bs4
from typing import Any
from collections.abc import Iterator
from .. import html_util, parse_util, secrets
from ..data import DeduplicateMode, Scraper
from .. import secrets, parse_util, html_util
logger = logging.getLogger(__name__)
URL_SITE_ROOT = 'https://steamcommunity.com/'
URL_GAME_ACHIVEMENTS = URL_SITE_ROOT + 'id/{username}/stats/appid/{appid}'
URL_GAME_ACHIVEMENTS = URL_SITE_ROOT+'id/{username}/stats/appid/{appid}'
FORMAT_DATE_HEADER = '%d/%m/%YYYY'
@ -40,15 +39,14 @@ class SteamAchievementScraper(Scraper):
# Parse data
soup = bs4.BeautifulSoup(response.content, 'lxml')
game_name: str = re.match(
r'Steam Community :: (.+) :: Jmaa', soup.head.title.get_text(),
).group(1)
game_name: str = re.match(r'Steam Community :: (.+) :: Jmaa', soup.head.title.get_text()).group(1)
soup = html_util.normalize_soup_slightly(
soup,
classes=False,
)
for entry in soup.select('.achieveRow'):
trophy_name: str = entry.select_one('h3').get_text()
trophy_desc: str = entry.select_one('h5').get_text()
@ -57,9 +55,7 @@ class SteamAchievementScraper(Scraper):
time_acquired_html: str = entry.select_one('.achieveUnlockTime')
if time_acquired_html is None:
continue
time_acquired_text: str = (
time_acquired_html.get_text().strip().removeprefix('Unlocked ')
)
time_acquired_text: str = time_acquired_html.get_text().strip().removeprefix('Unlocked ')
time_acquired: datetime.datetime = parse_util.parse_time(time_acquired_text)
yield {

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@ -8,15 +8,14 @@ import dataclasses
from decimal import Decimal
import bs4
import requests_util
import personal_data.html_util
import personal_data.parse_util
from personal_data.data import DeduplicateMode, Scraper
import requests_util
URL_API_ROOT = 'https://tavex.dk/'
def parse_dkk_price(dkk: str) -> Decimal:
if dkk.strip() == '-':
return None
@ -39,7 +38,7 @@ class TavexScraperBase(Scraper):
requests_util.setup_limiter(
self.session,
URL_API_ROOT,
per_minute=5,
per_minute = 5,
)
def scrape(self):

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@ -43,10 +43,8 @@ if cfscrape:
class CachedCfScrape(requests_cache.CacheMixin, cfscrape.CloudflareScraper):
pass
CACHE_EXPIRE_DEFAULT = datetime.timedelta(days=7)
def get_session(
cookiejar: Sequence,
*,
@ -60,9 +58,7 @@ def get_session(
return requests.Session()
if cfscrape:
session_class = CachedCfScrape
session = session_class(
OUTPUT_PATH / 'web_cache', cookies=cookiejar, expire_after=CACHE_EXPIRE_DEFAULT,
)
session = session_class(OUTPUT_PATH / 'web_cache', cookies=cookiejar, expire_after=CACHE_EXPIRE_DEFAULT)
for cookie in cookiejar:
session.cookies.set_cookie(cookie)
return session
@ -70,7 +66,6 @@ def get_session(
def available_scrapers() -> list[type[data.Scraper]]:
from . import fetchers # noqa
subclasses = []
class_queue = [data.Scraper]
while class_queue:

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@ -39,7 +39,7 @@ def parse_response_datetime(response) -> datetime.datetime:
LOCAL_TIMEZONE = datetime.datetime.now(datetime.UTC).astimezone().tzinfo
def try_parse(text: str, fmt: str) -> datetime.datetime | None:
def try_parse(text:str, fmt:str) -> datetime.datetime | None:
try:
time = datetime.datetime.strptime(text, fmt)
if time.tzinfo is None:

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@ -39,8 +39,6 @@ def csv_str_to_value(
| bool
| None
):
if s is None:
return None
s = s.strip()
if len(s) == 0:
return None
@ -108,10 +106,10 @@ def deduplicate_by_ignoring_certain_fields(
def deduplicate_dicts(
dicts: Sequence[dict[str, typing.Any] | frozendict[str, typing.Any]],
dicts: Sequence[dict[str,typing.Any] | frozendict[str,typing.Any]],
deduplicate_mode: data.DeduplicateMode,
deduplicate_ignore_columns: list[str],
) -> tuple[Sequence[dict[str, typing.Any]], list[str]]:
) -> tuple[Sequence[dict[str,typing.Any]], list[str]]:
assert isinstance(deduplicate_ignore_columns, list), deduplicate_ignore_columns
fieldnames = []
@ -141,13 +139,9 @@ def deduplicate_dicts(
return dicts, fieldnames
def normalize_dict(d: dict[str, typing.Any]) -> frozendict[str, typing.Any]:
def normalize_dict(d: dict[str,typing.Any]) -> frozendict[str,typing.Any]:
return frozendict(
{
k: csv_str_to_value(str(v))
for k, v in d.items()
if csv_str_to_value(str(v)) is not None
},
{k: csv_str_to_value(str(v)) for k, v in d.items() if csv_str_to_value(str(v)) is not None},
)
@ -172,7 +166,7 @@ def load_csv_file(csv_file: Path) -> list[frozendict]:
def extend_csv_file(
csv_file: Path,
new_dicts: list[dict[str, typing.Any]],
new_dicts: list[dict[str,typing.Any]],
deduplicate_mode: data.DeduplicateMode,
deduplicate_ignore_columns: list[str],
) -> dict:
@ -202,7 +196,7 @@ def extend_csv_file(
)
writer.writeheader()
for d in dicts:
writable_d = {k: csv_safe_value(v) for k, v in d.items()}
writable_d = {k:csv_safe_value(v) for k,v in d.items()}
writer.writerow(writable_d)
del d, writable_d
output_csv = csvfile_in_memory.getvalue()

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@ -24,6 +24,7 @@ def generate_calendar(rows: list[dict]) -> icalendar.Calendar:
cal.add('version', '2.0')
for event_data in rows:
# Select data
possible_time_keys = [
k for k, v in event_data.items() if isinstance(v, datetime.date)
@ -40,9 +41,7 @@ def generate_calendar(rows: list[dict]) -> icalendar.Calendar:
continue
title = ': '.join(event_data[k] for k in possible_name_keys[:max_title_parts])
description = '\n\n'.join(
event_data[k] for k in possible_name_keys[max_title_parts:]
)
description = '\n\n'.join(event_data[k] for k in possible_name_keys[max_title_parts:])
# Create event
event = icalendar.Event()

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@ -4,3 +4,4 @@ import personal_data.main
def test_available():
names = personal_data.main.available_scraper_names()
assert len(names) > 0