Support importing series events
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@ -14,7 +14,10 @@ from .obsidian import ObsidianVault, Event
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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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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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@ -40,22 +43,22 @@ def import_workout_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> int:
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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: list[dict[str,Any]]) -> 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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num_updated = 0
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rows_per_day = {}
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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_day.setdefault(date, [])
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rows_per_day[date].append(row)
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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_day = { date: sum(row['Steps'] for row in rows) for date, rows in rows_per_day.items()}
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steps_per_date = { date: sum(row['Steps'] for row in rows) for date, rows in rows_per_date.items()}
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for date, steps in steps_per_day.items():
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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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@ -65,12 +68,36 @@ def import_step_counts_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> i
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return num_updated
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def import_played_dates_csv(vault: ObsidianVault, rows: list[dict[str,Any]]) -> int:
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date = datetime.date(2024,10,9)
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event = Event(datetime.time(12,00), datetime.time(12,00), 'Tested', 'Obsidian Import')
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updated = vault.add_event(date, event)
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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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return updated and 1 or 0
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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 = row['me.last_played_time'].time().replace(second=0, microsecond=0, fold=0)
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end = start
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comment = '{} Episode {}: *{}*'.format(row['season.name'], row['episode.index'], row['episode.name'])
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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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@ -90,7 +117,11 @@ def import_data(obsidian_path: Path, dry_run=True):
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logger.info('Updated %d files', num_updated)
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if True:
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num_updated = import_played_dates_csv(vault, []) # TODO
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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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@ -21,6 +21,7 @@ class Event:
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end_time: datetime.time | None
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verb: str
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subject: str
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comment: str
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@dataclasses.dataclass(frozen = True)
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class FileContents:
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@ -92,20 +93,16 @@ class ObsidianVault:
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self._save_contents(date, contents)
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return True
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def add_event(self, date: datetime.date, event: Event) -> bool:
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def add_events(self, date: datetime.date, events: list[Event]) -> bool:
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if self.read_only == 'silent':
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logger.info(
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'Read-only ObsidianVault ignoring add_event(%s, "%s", ?)', date, event,
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'Read-only ObsidianVault ignoring add_event(%s, "%s", ?)', date, events,
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)
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return
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return False
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self._create_date_if_not_present(date)
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contents = self._get_date_contents(date)
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if event in contents.events:
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logger.info('Events already exist in "%s"', date)
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return False
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contents.events.append(event)
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contents.events.extend(events)
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self._save_contents(date, contents)
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return True
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@ -128,6 +125,7 @@ class ObsidianVault:
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return FileContents(file_frontmatter.metadata, pre_events, events, post_events)
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def _save_contents(self, date: datetime.date, contents: FileContents) -> None:
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logger.info('Formatting file "%s"', date)
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blocks_pre_events = ''.join(MARKDOWN_RENDERER.render(b) for b in contents.blocks_pre_events)
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blocks_post_events = ''.join(MARKDOWN_RENDERER.render(b) for b in contents.blocks_post_events)
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block_events = '\n'.join('- ' + format_event_string(e) for e in unique(contents.events))
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@ -174,16 +172,23 @@ def find_events_list_block(ast) -> tuple[list, list[str], list]:
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return (blocks, [], [])
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def format_event_string(event: Event) -> str:
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return f'{event.start_time}: {event.verb} [[{event.subject}]]'
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assert event is not None
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if event.start_time is None and event.end_time is None and event.subject is None and event.verb is None:
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return event.comment
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return f'{event.start_time:%H:%M} | {event.verb} [[{event.subject}]]. {event.comment}'.strip()
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RE_TIME = r'(\d\d:\d\d(?::\d\d(?:\.\d+?))?)'
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def parse_event_string(event_str: str) -> Event:
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if m := re.match(r'^\s*(\d\d:\d\d(?::\d\d)?):?\s+(\w+ed)\s+\[([^\]]*)\]\([^)]*\)\.?\s*$', event_str):
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if m := re.match(r'^\s*'+RE_TIME+r'[ :\|-]*(\w+ed)\s+\[([^\]]*)\]\([^)]*\)\.?\s*(.*)$', event_str):
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start = datetime.time.fromisoformat(m.group(1))
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return Event(start, start, m.group(2), m.group(3))
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if m := re.match(r'^\s*(\d\d:\d\d(?::\d\d)?):?\s+(\w+ed)\s+\[\[([^\]]*)\]\]$', event_str):
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return Event(start, start, m.group(2), m.group(3), m.group(4))
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if m := re.match(r'^\s*'+RE_TIME+'[ :\|-]*(\w+ed)\s+\[\[([^\]]*)\]\]\.?\s*(.*)$', event_str):
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start = datetime.time.fromisoformat(m.group(1))
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return Event(start, start, m.group(2), m.group(3))
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return None
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return Event(start, start, m.group(2), m.group(3), m.group(4))
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logger.info('Could not parse format: %s', event_str)
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return Event(None,None,None,None,event_str)
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def unique(ls: list) -> list:
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return list(dict.fromkeys(ls))
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@ -151,7 +151,7 @@ def normalize_dict(d: dict[str, typing.Any]) -> frozendict[str, typing.Any]:
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)
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def load_csv_file(csv_file: Path) -> list[frozendict]:
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def load_csv_file(csv_file: Path) -> list[frozendict[str, typing.Any]]:
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dicts: list[frozendict] = []
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with open(csv_file) as csvfile:
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dialect = csv.Sniffer().sniff(csvfile.read(1024))
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