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- 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
148 lines
4.9 KiB
Python
148 lines
4.9 KiB
Python
"""Extra benefits for exceeding the weekly workout minimum.
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Tracks:
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- Consecutive weeks with 5+ workouts (streak counter).
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- Banked skip credits earned from extra workouts.
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- ISO weeks in which the early-bird window is extended to 09:00.
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State is persisted in ``extra_benefits_state.json`` next to this file.
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"""
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from __future__ import annotations
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from datetime import datetime, timedelta, timezone
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import json
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import logging
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from typing import TYPE_CHECKING, Any
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from screen_locker._weekly_check import count_weekly_workouts
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if TYPE_CHECKING:
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from pathlib import Path
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_logger = logging.getLogger(__name__)
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_MILESTONE_INTERVAL = 4 # every 4-week streak → +1 bonus skip credit
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_BONUS_THRESHOLD = 5 # workouts/week required to earn extra rewards
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def _load_state(state_file: Path) -> dict[str, Any]:
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"""Load benefits state, returning defaults if missing or corrupt."""
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if not state_file.exists():
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return {}
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try:
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with state_file.open() as f:
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return json.load(f)
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except (OSError, json.JSONDecodeError):
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return {}
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def _save_state(state_file: Path, state: dict[str, Any]) -> None:
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"""Persist benefits state to disk."""
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try:
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with state_file.open("w") as f:
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json.dump(state, f, indent=2)
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except OSError as exc:
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_logger.warning("Failed to save extra benefits state: %s", exc)
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def process_week_transition(log_file: Path, state_file: Path) -> list[str]:
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"""Process last week's results if we've entered a new ISO week.
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Counts workouts from the previous ISO week. If count >= 5:
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- Increments the consecutive-streak counter.
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- Awards (count - 4) skip credits.
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- Marks the *current* ISO week as having extended early-bird (09:00).
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- Awards a bonus skip credit every ``_MILESTONE_INTERVAL`` streak weeks.
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Returns a list of human-readable reward strings (empty if no transition).
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"""
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now = datetime.now(tz=timezone.utc).astimezone()
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year, week, _ = now.isocalendar()
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current_week_str = f"{year}-W{week:02d}"
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state = _load_state(state_file)
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if state.get("last_processed_iso_week") == current_week_str:
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return []
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# Count workouts in the previous ISO week (Mon through Sun).
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monday_this_week = now.date() - timedelta(days=now.weekday())
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sunday_prev_week = monday_this_week - timedelta(days=1)
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prev_week_dt = datetime(
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sunday_prev_week.year,
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sunday_prev_week.month,
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sunday_prev_week.day,
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23,
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59,
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59,
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tzinfo=timezone.utc,
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)
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prev_week_count = count_weekly_workouts(log_file, today=prev_week_dt)
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streak = int(state.get("consecutive_5plus_weeks", 0))
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skip_credits = int(state.get("skip_credits", 0))
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eb_weeks: list[str] = list(state.get("extended_early_bird_iso_weeks", []))
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rewards: list[str] = []
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prev_year, prev_week, _ = sunday_prev_week.isocalendar()
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prev_week_str = f"{prev_year}-W{prev_week:02d}"
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if prev_week_count >= _BONUS_THRESHOLD:
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extra = prev_week_count - 4
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streak += 1
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skip_credits += extra
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if current_week_str not in eb_weeks:
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eb_weeks.append(current_week_str)
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rewards.append(
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f"{prev_week_count} workouts in {prev_week_str}! "
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f"+{extra} skip credit(s), early-bird extended to 09:00 this week"
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)
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if streak % _MILESTONE_INTERVAL == 0:
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skip_credits += 1
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rewards.append(f"{streak}-week streak milestone! +1 bonus skip credit")
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else:
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if streak > 0:
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rewards.append(f"Streak reset (was {streak} weeks of 5+ workouts)")
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streak = 0
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_save_state(
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state_file,
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{
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"consecutive_5plus_weeks": streak,
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"last_processed_iso_week": current_week_str,
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"skip_credits": skip_credits,
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"extended_early_bird_iso_weeks": eb_weeks,
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},
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)
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return rewards
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def current_streak(state_file: Path) -> int:
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"""Return the current consecutive-5plus-weeks streak count."""
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return int(_load_state(state_file).get("consecutive_5plus_weeks", 0))
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def has_skip_credit(state_file: Path) -> bool:
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"""Return True if at least one banked skip credit is available."""
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return int(_load_state(state_file).get("skip_credits", 0)) > 0
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def consume_skip_credit(state_file: Path) -> None:
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"""Deduct one skip credit from the bank."""
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state = _load_state(state_file)
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credit_count = int(state.get("skip_credits", 0))
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if credit_count > 0:
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state["skip_credits"] = credit_count - 1
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_save_state(state_file, state)
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def has_extended_early_bird(state_file: Path) -> bool:
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"""Return True if the current ISO week has an extended early-bird window (09:00)."""
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now = datetime.now(tz=timezone.utc).astimezone()
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year, week, _ = now.isocalendar()
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current_week_str = f"{year}-W{week:02d}"
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eb_weeks: list[str] = _load_state(state_file).get(
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"extended_early_bird_iso_weeks", []
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)
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return current_week_str in eb_weeks
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