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