Ruff
This commit is contained in:
parent
207b6cec67
commit
3f0ab40982
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@ -3,15 +3,19 @@
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Sub-module for importing time-based data into Obsidian.
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"""
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from pathlib import Path
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from .obsidian import ObsidianVault
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from personal_data.util import load_csv_file
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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 personal_data.util import load_csv_file
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from .obsidian import ObsidianVault
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logger = getLogger(__name__)
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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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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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data_path = Path('/home/jmaa/Notes/workout.csv')
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rows = load_csv_file(data_path)
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@ -6,6 +6,7 @@ from . import import_data
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logger = logging.getLogger(__name__)
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def parse_arguments():
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parser = argparse.ArgumentParser()
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parser.add_argument('--vault', type=Path, required=True)
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@ -21,7 +22,7 @@ def main():
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args = parse_arguments()
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if args.dry_run:
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logger.warning('Dry run')
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import_data(args.vault, dry_run = args.dry_run)
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import_data(args.vault, dry_run=args.dry_run)
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if args.dry_run:
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logger.warning('Dry run: Use --yes to execute')
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@ -1,31 +1,33 @@
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import datetime
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from typing import Any
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import json
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from pathlib import Path
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import frontmatter
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from decimal import Decimal
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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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import frontmatter
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logger = getLogger(__name__)
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StatisticKey = str
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class ObsidianVault:
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def __init__(self, vault_path : Path, read_only: bool = 'silent'):
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self.vault_path = vault_path
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class ObsidianVault:
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def __init__(self, vault_path: Path, read_only: bool = 'silent'):
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self.vault_path = vault_path
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assert (self.vault_path / '.obsidian').exists(), 'Not an Obsidian Vault'
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with open(self.vault_path / '.obsidian' / 'daily-notes.json') as f:
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with open(self.vault_path / '.obsidian' / 'daily-notes.json') as f:
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daily_notes_config = json.load(f)
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self.daily_folder = daily_notes_config['folder']
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self.path_format = daily_notes_config['format']
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self.template_file_path = daily_notes_config['template']
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self.read_only = read_only
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def get_statistic(self, date: datetime.date, statistic_key: StatisticKey) -> Any | None:
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def get_statistic(
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self, date: datetime.date, statistic_key: StatisticKey,
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) -> Any | None:
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try:
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with open(self._date_file_path(date)) as f:
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data = frontmatter.load(f)
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@ -34,9 +36,15 @@ class ObsidianVault:
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return data.metadata.get(statistic_key)
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def add_statistic(self, date: datetime.date, statistic_key: StatisticKey, amount: Any) -> bool:
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def add_statistic(
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self, date: datetime.date, statistic_key: StatisticKey, amount: Any,
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) -> bool:
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if self.read_only == 'silent':
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logger.info('Real only ObsidianVault ignoring add_statistic(%s, "%s", ?)', date, statistic_key)
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logger.info(
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'Real only ObsidianVault ignoring add_statistic(%s, "%s", ?)',
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date,
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statistic_key,
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)
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return False
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self._create_date_if_not_present(date)
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@ -59,7 +67,9 @@ class ObsidianVault:
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def add_event(self, date: datetime.date, verb: str, subject: str) -> None:
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if self.read_only == 'silent':
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logger.info('Real only ObsidianVault ignoring add_event(%s, "%s", ?)', date, verb)
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logger.info(
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'Real only ObsidianVault ignoring add_event(%s, "%s", ?)', date, verb,
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)
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return
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self._create_date_if_not_present(date)
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@ -76,7 +86,11 @@ class ObsidianVault:
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f.write(template_text)
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def _date_file_path(self, date: datetime.date):
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path = self.path_format.replace('YYYY', str(date.year)).replace('MM', '{:02d}'.format(date.month)).replace('DD', '{:02d}'.format(date.day))
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path = (
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self.path_format.replace('YYYY', str(date.year))
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.replace('MM', f'{date.month:02d}')
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.replace('DD', f'{date.day:02d}')
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)
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return (self.vault_path / self.daily_folder / path).with_suffix('.md')
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def _daily_template_path(self):
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@ -12,6 +12,7 @@ from .. import secrets
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logger = logging.getLogger(__name__)
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def get_client():
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assert secrets.KUCOIN_KEY, 'Missing secret: KUCOIN_KEY'
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assert secrets.KUCOIN_SECRET, 'Missing secret: KUCOIN_SECRET'
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@ -2,10 +2,11 @@ import dataclasses
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import datetime
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import logging
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import re
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import bs4
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from .. import html_util, parse_util, secrets
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from ..data import DeduplicateMode, Scraper
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from .. import secrets, parse_util, html_util
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logger = logging.getLogger(__name__)
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@ -51,7 +52,9 @@ class LodestoneAchievementScraper(Scraper):
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time_acquired,
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).group(1)
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time_acquired = int(time_acquired)
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time_acquired = datetime.datetime.fromtimestamp(time_acquired,tz=datetime.UTC)
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time_acquired = datetime.datetime.fromtimestamp(
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time_acquired, tz=datetime.UTC,
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)
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trophy_desc = (
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entry.select_one('.entry__activity__txt').get_text().strip()
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)
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@ -1,42 +1,47 @@
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import dataclasses
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import datetime
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import logging
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import re
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import bs4
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from typing import Any
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from collections.abc import Iterator
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from typing import Any
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from jellyfin_apiclient_python import JellyfinClient
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from .. import _version, secrets
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from ..data import DeduplicateMode, Scraper
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from .. import secrets, parse_util, html_util, _version
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logger = logging.getLogger(__name__)
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URL_SITE_ROOT = 'https://steamcommunity.com/'
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URL_GAME_ACHIVEMENTS = URL_SITE_ROOT+'id/{username}/stats/appid/{appid}'
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URL_GAME_ACHIVEMENTS = URL_SITE_ROOT + 'id/{username}/stats/appid/{appid}'
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FORMAT_DATE_HEADER = '%d/%m/%YYYY'
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def iterate_series(client):
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result = client.jellyfin.user_items(params = {
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'includeItemTypes': 'Series',
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'parentId': 'a656b907eb3a73532e40e44b968d0225',
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'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
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})
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result = client.jellyfin.user_items(
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params={
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'includeItemTypes': 'Series',
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'parentId': 'a656b907eb3a73532e40e44b968d0225',
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'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
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},
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)
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yield from result['Items']
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def iterate_watched_episodes_of_series(client, series_id: str):
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result = client.jellyfin.user_items(params = {
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'filters': 'IsPlayed',
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'recursive': True,
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'includeItemTypes': 'Episode',
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'parentId': series_id,
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'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
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'fields': 'AirTime',
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})
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result = client.jellyfin.user_items(
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params={
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'filters': 'IsPlayed',
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'recursive': True,
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'includeItemTypes': 'Episode',
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'parentId': series_id,
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'userId': 'dd95c1085c1b4e83ba8e8853fbc644ab',
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'fields': 'AirTime',
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},
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)
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yield from result['Items']
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@dataclasses.dataclass(frozen=True)
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class JellyfinWatchHistoryScraper(Scraper):
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dataset_name = 'show_episodes_watched'
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def scrape(self) -> Iterator[dict[str, Any]]:
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client = JellyfinClient()
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client.config.app('personal_data', _version.__version__,
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'test_machine', 'unique_id_1')
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client.config.app(
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'personal_data', _version.__version__, 'test_machine', 'unique_id_1',
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)
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client.config.data["auth.ssl"] = False
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client.config.data['auth.ssl'] = False
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client.auth.connect_to_address(secrets.JELLYFIN_URL)
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client.auth.login(secrets.JELLYFIN_URL, secrets.JELLYFIN_USERNAME, secrets.JELLYFIN_PASSWORD)
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client.auth.login(
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secrets.JELLYFIN_URL, secrets.JELLYFIN_USERNAME, secrets.JELLYFIN_PASSWORD,
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)
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for series_data in iterate_series(client):
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series_id = series_data['Id']
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del episode_data
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del series_data, series_id
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@ -4,13 +4,13 @@ import re
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from collections.abc import Iterator
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import bs4
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import requests_util
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import personal_data.html_util
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from personal_data import secrets
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from personal_data.data import DeduplicateMode, Scraper
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from .. import parse_util
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import requests_util
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logger = logging.getLogger(__name__)
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@ -27,6 +27,7 @@ def game_psnprofiles_id_from_url(relative_url: str) -> int:
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MAX_NUMBER_GAMES_TO_PARSE = 1000
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@dataclasses.dataclass(frozen=True)
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class PsnProfilesScraper(Scraper):
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dataset_name = 'games_played_playstation'
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requests_util.setup_limiter(
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self.session,
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URL_API_ROOT,
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per_minute = 5,
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per_minute=5,
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)
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def _scrape_games_overview(self) -> Iterator[dict]:
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@ -2,18 +2,19 @@ import dataclasses
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import datetime
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import logging
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import re
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import bs4
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from typing import Any
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from collections.abc import Iterator
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from typing import Any
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import bs4
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from .. import html_util, parse_util, secrets
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from ..data import DeduplicateMode, Scraper
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from .. import secrets, parse_util, html_util
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logger = logging.getLogger(__name__)
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URL_SITE_ROOT = 'https://steamcommunity.com/'
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URL_GAME_ACHIVEMENTS = URL_SITE_ROOT+'id/{username}/stats/appid/{appid}'
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URL_GAME_ACHIVEMENTS = URL_SITE_ROOT + 'id/{username}/stats/appid/{appid}'
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FORMAT_DATE_HEADER = '%d/%m/%YYYY'
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@ -28,8 +29,8 @@ class SteamAchievementScraper(Scraper):
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def scrape_app(self, appid: int) -> Iterator[dict[str, Any]]:
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url = URL_GAME_ACHIVEMENTS.format(
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username=secrets.STEAM_USERNAME,
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appid=appid,
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username=secrets.STEAM_USERNAME,
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appid=appid,
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)
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response = self.session.get(url)
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response.raise_for_status()
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@ -39,14 +40,15 @@ class SteamAchievementScraper(Scraper):
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# Parse data
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soup = bs4.BeautifulSoup(response.content, 'lxml')
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game_name: str = re.match(r'Steam Community :: (.+) :: Jmaa', soup.head.title.get_text()).group(1)
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game_name: str = re.match(
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r'Steam Community :: (.+) :: Jmaa', soup.head.title.get_text(),
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).group(1)
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soup = html_util.normalize_soup_slightly(
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soup,
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classes=False,
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)
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for entry in soup.select('.achieveRow'):
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trophy_name: str = entry.select_one('h3').get_text()
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trophy_desc: str = entry.select_one('h5').get_text()
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@ -55,7 +57,9 @@ class SteamAchievementScraper(Scraper):
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time_acquired_html: str = entry.select_one('.achieveUnlockTime')
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if time_acquired_html is None:
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continue
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time_acquired_text: str = time_acquired_html.get_text().strip().removeprefix('Unlocked ')
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time_acquired_text: str = (
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time_acquired_html.get_text().strip().removeprefix('Unlocked ')
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)
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time_acquired: datetime.datetime = parse_util.parse_time(time_acquired_text)
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yield {
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@ -8,14 +8,15 @@ import dataclasses
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from decimal import Decimal
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import bs4
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import requests_util
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import personal_data.html_util
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import personal_data.parse_util
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from personal_data.data import DeduplicateMode, Scraper
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import requests_util
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URL_API_ROOT = 'https://tavex.dk/'
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def parse_dkk_price(dkk: str) -> Decimal:
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if dkk.strip() == '-':
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return None
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@ -38,7 +39,7 @@ class TavexScraperBase(Scraper):
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requests_util.setup_limiter(
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self.session,
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URL_API_ROOT,
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per_minute = 5,
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per_minute=5,
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)
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def scrape(self):
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|
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@ -43,8 +43,10 @@ if cfscrape:
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class CachedCfScrape(requests_cache.CacheMixin, cfscrape.CloudflareScraper):
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pass
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CACHE_EXPIRE_DEFAULT = datetime.timedelta(days=7)
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def get_session(
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cookiejar: Sequence,
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*,
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|
@ -58,14 +60,17 @@ def get_session(
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return requests.Session()
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if cfscrape:
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session_class = CachedCfScrape
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session = session_class(OUTPUT_PATH / 'web_cache', cookies=cookiejar, expire_after=CACHE_EXPIRE_DEFAULT)
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session = session_class(
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OUTPUT_PATH / 'web_cache', cookies=cookiejar, expire_after=CACHE_EXPIRE_DEFAULT,
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)
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for cookie in cookiejar:
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session.cookies.set_cookie(cookie)
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return session
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def available_scrapers() -> list[type[data.Scraper]]:
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from . import fetchers # noqa
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from . import fetchers # noqa
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subclasses = []
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class_queue = [data.Scraper]
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while class_queue:
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|
|
|
@ -39,7 +39,7 @@ def parse_response_datetime(response) -> datetime.datetime:
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LOCAL_TIMEZONE = datetime.datetime.now(datetime.UTC).astimezone().tzinfo
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def try_parse(text:str, fmt:str) -> datetime.datetime | None:
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def try_parse(text: str, fmt: str) -> datetime.datetime | None:
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try:
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time = datetime.datetime.strptime(text, fmt)
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if time.tzinfo is None:
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|
|
|
@ -108,10 +108,10 @@ def deduplicate_by_ignoring_certain_fields(
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def deduplicate_dicts(
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dicts: Sequence[dict[str,typing.Any] | frozendict[str,typing.Any]],
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dicts: Sequence[dict[str, typing.Any] | frozendict[str, typing.Any]],
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deduplicate_mode: data.DeduplicateMode,
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deduplicate_ignore_columns: list[str],
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) -> tuple[Sequence[dict[str,typing.Any]], list[str]]:
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) -> tuple[Sequence[dict[str, typing.Any]], list[str]]:
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assert isinstance(deduplicate_ignore_columns, list), deduplicate_ignore_columns
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fieldnames = []
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|
@ -141,9 +141,13 @@ def deduplicate_dicts(
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return dicts, fieldnames
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def normalize_dict(d: dict[str,typing.Any]) -> frozendict[str,typing.Any]:
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def normalize_dict(d: dict[str, typing.Any]) -> frozendict[str, typing.Any]:
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return frozendict(
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{k: csv_str_to_value(str(v)) for k, v in d.items() if csv_str_to_value(str(v)) is not None},
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{
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k: csv_str_to_value(str(v))
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for k, v in d.items()
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if csv_str_to_value(str(v)) is not None
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},
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)
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|
@ -168,7 +172,7 @@ def load_csv_file(csv_file: Path) -> list[frozendict]:
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def extend_csv_file(
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csv_file: Path,
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new_dicts: list[dict[str,typing.Any]],
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new_dicts: list[dict[str, typing.Any]],
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deduplicate_mode: data.DeduplicateMode,
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deduplicate_ignore_columns: list[str],
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) -> dict:
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||||
|
@ -198,7 +202,7 @@ 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()
|
||||
|
|
|
@ -24,7 +24,6 @@ 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)
|
||||
|
@ -41,7 +40,9 @@ 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()
|
||||
|
|
|
@ -4,4 +4,3 @@ import personal_data.main
|
|||
def test_available():
|
||||
names = personal_data.main.available_scraper_names()
|
||||
assert len(names) > 0
|
||||
|
||||
|
|
Loading…
Reference in New Issue
Block a user