screen-locker/screen_locker/_shutdown_target.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

134 lines
4.5 KiB
Python

"""Tonight's shutdown, derived from scratch: earned time, rest day, grace floor.
:func:`derive` is pure, and is the one formula behind both the daily reset
(:mod:`screen_locker._shutdown_base`) and the read-only preview
(``scripts/preview_shutdown.py``), so a dry run exercises the real sum::
earned = earned_time.resolve(answers) # base + every earner, capped
target = min(ceiling, max(earned, grace floor))
A declared rest day answers the workout with at least one unit, i.e. its
first-unit bonus; a real workout on top of it earns only what a further unit
earns. :func:`gather` reads today's real inputs; it writes nothing.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import TYPE_CHECKING
import earned_time
from screen_locker._earned import ceiling, flat_answers
from screen_locker._grace_floor import first_done_at, grace_for, sick_on
from screen_locker._log_io import load_workout_log
from screen_locker._rest_day import is_rest_day
from screen_locker._weekly_check import count_day_credits
if TYPE_CHECKING:
from collections.abc import Mapping
from datetime import date
from pathlib import Path
@dataclass(frozen=True)
class Target:
"""One day's derived shutdown and what made it.
Attributes:
resolution: ``earned_time``'s sum (base + terms, capped).
rest_day: Whether the day is a declared rest day.
first_done_at: Unix time the day's first earner was done, if any.
grace: The grace floor in minutes, or ``None``.
minutes: The shutdown to write, minutes after midnight.
"""
resolution: earned_time.Resolution
rest_day: bool
first_done_at: float | None
grace: int | None
minutes: int
@property
def earned(self) -> int:
"""The earned shutdown, before the grace floor."""
return self.resolution.shutdown_minutes
@property
def lift(self) -> int:
"""How far the grace floor lifts the earned shutdown."""
return self.minutes - self.earned
def workout_units(count: int, *, rest_day: bool) -> int:
"""A rest day stands in for the first workout, never for a further one."""
return max(count, 1) if rest_day else count
@dataclass(frozen=True)
class DayInputs:
"""Everything one day's shutdown is derived from.
Attributes:
day: The day.
flat: Each flat earner's answer (``None`` = could not check).
workout_credits: The log's distinct workout credits.
rest_day: Declared rest day.
first_done: Unix time the day's first earner was done, if any.
sick_day: Sick day: the sick-day shutdown wins, no grace floor.
"""
day: date
flat: Mapping[str, bool | None]
workout_credits: int = 0
rest_day: bool = False
first_done: float | None = None
sick_day: bool = False
def derive(inputs: DayInputs) -> Target:
"""The pure formula: earned time, then the grace floor, then the ceiling."""
day = inputs.day
answers: dict[str, int | bool | None] = dict(inputs.flat)
answers[earned_time.WORKOUT.name] = workout_units(
inputs.workout_credits, rest_day=inputs.rest_day
)
# The registry is passed explicitly: flat_answers iterated this same
# tuple, so the earners asked and the earners summed can never differ.
resolution = earned_time.resolve(answers, day, earned_time.EARNERS)
grace = None if inputs.sick_day else grace_for(inputs.first_done, day)
minutes = resolution.shutdown_minutes
if grace is not None:
minutes = min(ceiling(day), max(minutes, grace))
return Target(
resolution=resolution,
rest_day=inputs.rest_day,
first_done_at=inputs.first_done,
grace=grace,
minutes=minutes,
)
def day_credit_count(log_file: Path | None, day: date) -> int:
"""How many distinct workouts ``day``'s log counts (0 without a log)."""
if log_file is None:
return 0
iso = day.isoformat()
entries = load_workout_log(log_file).get(iso, [])
return count_day_credits(iso, [e for e in entries if isinstance(e, dict)])
def gather(day: date, log_file: Path | None) -> Target:
"""Derive ``day``'s target from the real ledgers, log and rest days."""
rest_day = is_rest_day(day)
return derive(
DayInputs(
day=day,
flat=flat_answers(),
workout_credits=day_credit_count(log_file, day),
rest_day=rest_day,
first_done=first_done_at(day, log_file, rest_day=rest_day),
sick_day=sick_on(day),
)
)