screen-locker/screen_locker/_runnerup_backfill.py
Krzysztof kuhy Rudnicki 373a075606 Shutdown: walks as workout, rest days, grace floor, workout ledger (earned-time 0.4.0)
- A day's RunnerUp walks (_Walking.tcx) count once their moving time sums to 40 min
- Rest days: declared ahead, 2 per ISO week, HMAC-signed; pay the first workout unit
- Grace floor: shutdown >= first task + 60 min (capped); skipped on a sick day
- Workout ledger: one signed credit row per log credit slot and rest day
- Day-aware ladder amounts from earned_time 0.4.0; preview_shutdown dry-run script

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QrjUTo1yhgAsUUasdw4bpG

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-10-09 10:43:45 +02:00

173 lines
6.4 KiB
Python

"""Backfilling the workout log from RunnerUp exports already on the phone.
Split out of :mod:`screen_locker._runnerup_verification` to keep every file
under the 250-line cap. Composed back into ``RunnerUpVerificationMixin``
there, so callers see no change.
Used by the weekly scan: a run exported days ago still counts, so the log is
filled in from whatever RunnerUp kept rather than only from today's check.
"""
from __future__ import annotations
from datetime import UTC, datetime, timedelta
import logging
from typing import TYPE_CHECKING, Any
from screen_locker._log_mixin import write_signed_entry
from screen_locker._walk_tcx import walk_day, walk_shortfall
if TYPE_CHECKING:
from collections.abc import Callable
from pathlib import Path
# Same shape as ``_manual_sync.OnIngestedCallback``: the appended
# ``workout_data`` and that day's entries *before* it.
OnIngestedCallback = Callable[[dict, "list[dict]"], None]
_logger = logging.getLogger(__name__)
def _record(
log_file: Path,
date_str: str,
workout_data: dict[str, Any],
on_ingested: OnIngestedCallback | None,
) -> bool:
"""Append one verified RunnerUp entry and credit it; False if a duplicate."""
result = write_signed_entry(log_file, date_str, workout_data)
if not result.appended:
return False
_logger.info(
"Auto-filled RunnerUp entry for %s: %s", date_str, workout_data["source"]
)
if on_ingested is not None:
on_ingested(workout_data, result.prior_entries)
return True
class RunnerUpBackfillMixin:
"""Fills the log from RunnerUp exports for a date or a whole week."""
def _try_fill_runnerup_for_date(
self,
date_str: str,
log_file: Path,
on_ingested: OnIngestedCallback | None = None,
) -> bool:
"""Append a verified RunnerUp entry for ``date_str`` if not already logged.
Appends via the write chokepoint, which dedups by ``workout_id``
(``runnerup_verified:{date}``): re-scanning a day whose run is already
recorded is a no-op, but a day that only holds, say, a manual workout
still gets the run appended alongside it (multiple workouts per day).
``on_ingested(workout_data, prior_entries)`` fires once per appended
entry, exactly like manual-sync ingestion, so a run pulled off the
phone earns the same day-scaled reward as every other source. It used
to earn only a weekly-surplus bonus (+1h per workout above the weekly
minimum), which is 0 for most of the week: on 2026-09-16 a run synced
at 20:25 left the config at 20:00 while the daily reset would have
derived 22:00 from the same log.
Returns True if a new verified entry was appended for ``date_str``.
"""
walks: list[dict[str, Any]] = []
for remote in self._find_runnerup_exports_for_date(date_str):
data = self._pull_and_parse_tcx(remote)
if data is None:
continue
if data.get("walking"):
# Never one walk at a time: a day's walks are summed below.
walks.append(data)
continue
status, msg = self._validate_runnerup_data(data)
if status != "verified":
_logger.warning(
"RunnerUp export %s for %s did not qualify (%s): %s",
remote,
date_str,
status,
msg,
)
continue
workout_data = {
"type": "runnerup_verified",
"source": f"Auto-scanned: {msg}",
"distance_km": round(data["distance_m"] / 1000, 2),
"duration_minutes": round(data["duration_seconds"] / 60, 1),
"completed_at": data.get("ended_at"),
}
return _record(log_file, date_str, workout_data, on_ingested)
return self._try_fill_walks(date_str, walks, log_file, on_ingested)
@staticmethod
def _try_fill_walks(
date_str: str,
walks: list[dict[str, Any]],
log_file: Path,
on_ingested: OnIngestedCallback | None,
) -> bool:
"""Append the day's walking as its RunnerUp workout, once it adds up.
Same type and so the same ``runnerup_verified:{date}`` slot as a run:
a walk and a run on one day are one RunnerUp credit, exactly as two
runs already were.
"""
if not walks:
return False
day = walk_day(walks)
if not day.qualifies:
_logger.warning(
"RunnerUp walks for %s do not count yet: %s",
date_str,
walk_shortfall(day),
)
return False
workout_data = {
"type": "runnerup_verified",
"activity": "walking",
"source": f"Auto-scanned: {day.message()}",
"distance_km": round(day.distance_km, 2),
"duration_minutes": round(day.moving_minutes, 1),
"completed_at": day.completed_at,
}
return _record(log_file, date_str, workout_data, on_ingested)
def _scan_and_fill_week_runnerup(
self, log_file: Path, on_ingested: OnIngestedCallback | None = None
) -> int:
"""Scan the current ISO week for RunnerUp runs and append any not logged.
``on_ingested`` is passed through to every appended entry; see
:meth:`_try_fill_runnerup_for_date`.
Returns the count of newly appended entries (0 if no export source --
neither the WebDAV drop directory nor an adb-visible phone).
"""
if not self._has_runnerup_source():
_logger.info(
"No RunnerUp source (no WebDAV drop dir, phone not connected); "
"skipping auto-scan for past RunnerUp exports."
)
return 0
now = datetime.now(tz=UTC).astimezone()
today = now.date()
week_start = today - timedelta(days=today.weekday())
filled = 0
current = week_start
while current <= today:
if self._try_fill_runnerup_for_date(
current.strftime("%Y-%m-%d"), log_file, on_ingested
):
filled += 1
current += timedelta(days=1)
return filled
# ------------------------------------------------------------------
# Shared validation
# ------------------------------------------------------------------