Synced manual workouts never earned shutdown/debt credit (only weekly
count), which silently missed pushing shutdown time for a same-day
workout logged on the phone. Manual workouts now go through the same
credit logic as any other workout type, count individually toward the
weekly total and rate budget (no more once-per-day collapse), and stack
same-day shutdown bonuses like verified workouts. Also bumps the weekly
minimum from 4 to 5 and doubles the monthly manual-workout budget to 10.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
The workout log stored ONE workout per calendar day, so a second same-day
workout was silently dropped and could never earn credit.
Multiple workouts per day:
- workout_log.json: {date: entry} -> {date: [entry, ...]}. Legacy entries are
wrapped on read (_log_io.load_workout_log) so their HMACs stay valid — no
re-signing; every write normalizes the file, migrating it progressively.
- New write chokepoint (_log_mixin.write_signed_entry) APPENDS and dedups by a
stable workout_id, returning RecordResult so callers can tell a new workout
from a duplicate. Re-verifying the same workout is a no-op.
- count_weekly_workouts is anti-gaming: each VERIFIED workout counts
individually; self-reported manual entries count at most once per day. Four
real workouts in one day satisfy the week; four manual entries count as one.
- Reward: the day's first counted workout gets the base +2h; an additional
same-day VERIFIED workout gets +1h; an additional manual gets nothing. The
old "+1h when weekly_count > 4" gate is replaced — weekly volume is the
banked bonus's job and shouldn't be paid twice.
- Fixed: the unlock screen labelled the +1h "#{weekly_count - 4}", which can
render negative under the new rule. Removed the dead runnerup_manual type.
- Flutter: the manual budget counts distinct DAYS, matching the PC.
PC->phone sync (it had never worked once):
- push_pc_manuals pushed from a side-store written at log-time, so anything
logged before that feature existed could never publish. _manual_push now
derives the crdt log directly from workout_log.json — the single source of
truth — covering manual AND verified runs. The record id is the workout's own
workout_id (derived for legacy entries to match the phone's format) and the
HLC comes from the entry's own timestamp, so a re-push is byte-identical and
the repo never churns.
- The phone reads every kind (readMergedWorkoutPayloads) and lists the PC's
workouts under "SYNCED FROM PC". The manual budget still sees manual-only, so
a verified run can't consume a self-report slot.
- Settings claimed "Connected." whenever a token STRING existed. It now
verifies against the API on open, so a revoked token reports 401 instead of
showing a green lie.
Never fail silently:
- 30 swallowed exceptions across 19 files now log WARNING with the concrete
cause AND consequence — plus the token guards in _workout_sync that returned
[] in total silence, the exact bug that hid the dead sync for weeks.
- New pre-commit hook (scripts/check_silent_failures.py) fails any except that
neither re-raises nor logs loudly. ruff's S110 only catches `except: pass`;
the real pattern here was `except: log.info(); return []`. Documented in
CLAUDE.md.
Verified on real data: the Jul 13 run (pulled from its actual TCX over ADB) now
counts alongside that day's manual squash, and all three workouts are published
to kuhyx/syncs.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Fv8ULVt3Q67GwCFbM7doHB
The screen locker skipped enforcement on 2026-07-03 without ever showing
a lock: a banked skip credit (earned from a prior 5+/week streak) was
consumed automatically with no confirmation and no visible log. Reworked
the whole reward mechanic instead of just gating it, since banking a
"skip a future workout" credit works against maximizing weekly workouts:
- Removed skip credits entirely (has_skip_credit/consume_skip_credit and
the confirmation dialog built to gate them). The only same-day skip
paths left are heat_skip and sick_day, both requiring a genuine reason.
- Extra workouts (5+/week) now bank shutdown-time-later hours for the
following week instead — comfort, not reduced enforcement. Reuses the
existing _adjust_shutdown_time_by and reset_to_base_if_new_day's
previously-discarded return value as the once-per-day gate.
- early_bird and sick_day no longer pollute workout_log.json. early_bird
is a same-day pending marker now stored in its own self-expiring,
HMAC-signed file; sick_day is sourced entirely from sick_history.json
(already the real source of truth). Fixes an accidental-safety gap
where "already took a sick day today" only halted startup by luck.
- Cleaned up 3 stale non-workout entries already in workout_log.json.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01QdTccgbK7624kfoaV6CtXS
- Refactor RunnerUp verification: extract RunnerUpDbMixin (_runnerup_db.py),
split _scan_and_fill_week_runnerup into a helper _try_fill_runnerup_for_date
to keep cyclomatic complexity ≤10
- Generalise TCX lookup to any date in the ISO week (was today-only); all gap
days Mon→today auto-filled on every startup and 08:30 timer firing
- Add _adjust_shutdown_time_by(): +1h per extra workout beyond the 4-workout
minimum, capped at midnight (hour=24)
- Add _shutdown_base.py: daily reset of shutdown config to a stored base so
the bonus doesn't silently accumulate across days
- Add _extra_benefits.py: streak tracking, skip credits (earn (n-4) credits
for 5+ workout weeks), early-bird extension to 09:00 for eligible weeks
- Add --status mode (_status.py): non-locking CLI view showing per-day
breakdown (✓/✗), RunnerUp auto-scan, bonus status, shutdown time, streak,
skip credits, and early-bird status
- Hook carrot into _check_non_verify_exits: bonus applied whenever auto-fill
pushes weekly count above the minimum
- Pass all pre-commit hooks (ruff, mypy, pylint, bandit, shellcheck,
codespell, max-file-length); 508 tests at 100% branch coverage
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017auyHmf2ZwQcDAwXaSo7KX
