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Krzysztof kuhy Rudnicki
c1c73d43ba
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workout-locker.timer (added in e5db254) re-runs the full lock-decision
chain every 30 minutes, but is_relaxed_day() is a pure date check with
no memory of an earlier same-day dismissal. Clicking "Skip — No
Penalty" only closed the window without persisting anything, so the
next tick re-derived reason=relaxed_day and rebuilt the same popup.
Now the skip button writes a relaxed_day_skip marker to the log
(excluded from weekly counting and sync, same treatment as heat_skip),
and the startup chain checks for it before re-entering the relaxed-day
branch. Also renames workout_log.json to log.json throughout the repo,
tests, docs, and Dart comments, since the fix touches that file anyway.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014qH2hJ6mvCJd3ZXpAJSaF7
76 lines
2.6 KiB
Python
76 lines
2.6 KiB
Python
"""Single normalization point for reading ``log.json``.
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The log is day-keyed and now holds MULTIPLE workouts per day. This module is
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the one place that reads the raw file and normalizes both shapes into a
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per-day list:
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* legacy ``{date: entry}`` — the single ``entry`` is wrapped in a
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one-element list, and
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* new ``{date: [entry, ...]}`` — returned as-is.
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Kept dependency-free (stdlib only) so any module — including the low-level
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``_log_mixin`` and ``_compliance_state`` — can import it without risking an
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import cycle. Every consumer reads through :func:`load_workout_log` and
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iterates the per-day list rather than assuming one entry per day.
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"""
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from __future__ import annotations
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import json
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import logging
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from typing import TYPE_CHECKING
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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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def read_raw_log(log_file: Path) -> dict:
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"""Load ``log.json`` verbatim (values may be dict or list), or ``{}``.
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Returns the on-disk shape unchanged. Prefer :func:`load_workout_log` for
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reading; this raw form exists for the writer, which rewrites the file, and
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for the one-shot migration.
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"""
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if not log_file.exists():
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return {}
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try:
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with log_file.open() as f:
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data = json.load(f)
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except (OSError, json.JSONDecodeError) as exc:
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_logger.warning(
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"Could not read the workout log at %s (%s) — treating it as EMPTY, "
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"so NO workouts count and the lock will fire until it is readable",
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log_file,
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exc,
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)
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return {}
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if not isinstance(data, dict):
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_logger.warning(
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"Workout log at %s is a %s, not an object of dates — treating it as "
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"EMPTY, so NO workouts count",
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log_file,
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type(data).__name__,
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)
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return {}
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return data
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def load_workout_log(log_file: Path) -> dict[str, list[dict]]:
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"""Load ``log.json`` normalized to ``{date: [entry, ...]}``.
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Accepts BOTH the legacy day-keyed shape (``{date: entry}``) and the new
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multi-entry shape so old files, rolled-back writers, and mid-migration
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states all read correctly. Each entry is the usual
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``{timestamp, workout_data, hmac[, workout_id]}`` dict; malformed values
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are dropped. Missing/corrupt file → ``{}``.
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"""
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normalized: dict[str, list[dict]] = {}
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for date, value in read_raw_log(log_file).items():
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if isinstance(value, list):
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normalized[date] = [entry for entry in value if isinstance(entry, dict)]
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elif isinstance(value, dict):
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normalized[date] = [value]
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return normalized
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