The cross-source picker anchors each duplicate cluster on its first start,
so which cluster a workout lands in depends on the workouts around it. The
detail route still read the old fixed five-minute clock slot, and every
other reader handed the picker only the rows of its own range. The detail
of a twin that straddled a slot boundary declared itself canonical while
the list hid it, and runs at 09:58, 10:02 and 10:06 were grouped one way by
a read starting at 09:55 and another by a read starting at 10:00.
Every reader that decides which workout is canonical (list, detail and its
previous session, activity calendar, day view, doctor report, Coach,
briefing and correlation blocks, strain, per-sport context, the activity
insight's history, the batch write) now reads through one windowed reader.
It reads a duplicate window past the end of the range and reaches back
until every sport in the range starts at a workout that is an anchor
whatever came before it, then picks over everything read and keeps the
rows that start inside the range. The per-sport baseline and the insight
history leave out the whole cluster of the current session instead of the
row alone, which left its twin behind as a session of its own. The batch
write clusters its rows together with the stored workouts around them and
drops only a row that loses to another row of the same batch.
A property test checks the windowed read against a whole-history read for
random dense histories and ranges; route tests pin list, detail, deep link,
previous session and the batch write against the database.
Today is shown as in_progress instead of being placed against whole
days, and a running period is compared over its completed days only:
the total through yesterday against the usual rate times the days
completed. The period total and goal progress still count today. The
comparison gains completedDays and completedValue.
A week or month of steps, active minutes, workouts by sport and training
load, each day placed against the person's own spread over the 84 days
before the period and each period against the median of the twelve weeks
or six months before it. Optional weekly and monthly goals live on the
account (activity_goals_json), travel with the backup and are cleared by
a data wipe. The calendar sits on the workouts page; the steps page links
to it. Computed server-side without AI.
Marc-André Bombeck