Bodyweight motions (no equipment layer, no hide list) now turn the
camera a full revolution every 24 seconds while the motion loops, so
the exercise reads from every side; machine exercises keep their
authored view, since scene equipment is a view-locked billboard and a
hide list describes a single viewpoint.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
The library's planar world-angle rig becomes a genuine 3D anatomical
model: skeleton.json holds bone-length profiles (real shoulder/pelvis
widths, feet, neutral/female/male) and per-joint ROM; motions pose
joints with anatomical angles (flexion/abduction/rotation from neutral
standing) under a per-exercise orthographic camera, resolved by
kinematics.py (3D FK, analytic two-bone IK with anatomical write-back)
and validated against physiological ranges. All 20 sagittal motions
were migrated by planar decomposition with 0.00 px golden parity against
the old renderer — relabeled to true anatomy, since shading is now
near-dark/far-light by camera depth rather than by limb suffix — and
the face-on machines are re-authored honestly: Abductor/Adductor with
real hip abduction (the foreshortened "frontal" profile is retired) and
Rotary with genuine spine axial rotation. Figures gain articulated
feet; profiles swap without touching a single motion script; --orbit
sweeps the camera 360° while a motion loops.
The in-app SwiftUI renderer (iOS + watch) is ported to the same model
and consumes the exported motions verbatim; figure-fixtures.json pins
its geometry to the Python pipeline within 0.5 px across every
exercise, key frame, tween, and orbit sample. Also makes the watch
bridge logger nonisolated for the newer SDK's stricter isolation
checking.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
Library detail screens now lead with the user's recorded machine settings
(per-split when they disagree, empty-state card for machine-based entries)
and append the weight progression chart. Starter seeds mark machine
exercises with an empty machineSettings list so the settings UI lights up
before first use. The figure rig gains a frontal body profile for face-on
machines, props that can ride mid joints (knees/elbows), and an
alternating four-frame Bird Dog loop.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
Seeding now covers existing installs, not just empty containers: after the
same settle delay as auto-seed, connect() branches to reconcileSeeds(),
driven by a pure tested planner — upgrade an older seed revision in place
(safe: clone-on-edit guarantees no user content at seed ULIDs), skip
up-to-date/quarantined files, respect delete-veto stubs, and write missing
seeds unless a same-name legacy split exists. Settings gains Restore
Starter Splits (the one deliberate veto lift, writing current bundle
bytes) and a dev duplicate-cleanup tool backed by a fail-closed scanner.
The HealthKit estimate now follows the clone redirect when resolving a
workout's split.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
Machine-based exercises now carry ordered name/value comfort settings
(seat height, back-rest position, ...) on both ExerciseDocument and, as a
plan-time snapshot, WorkoutLogDocument — the optional array doubles as the
machine flag. Editable from the exercise editor's new Machine section and
from the workout row's settings sheet, whose mid-workout edits write back
to the originating split (workout saved first, so seed clone-on-edit
repointing can't clobber the log edit).
Schema tightening rides the same rev: splits bump to v2 (weight-reminder
fields and the unused exercise category removed), workouts to v3 (the
derived `completed` flag removed; status is the single source). Starter
seeds regenerated at v2 with unchanged ULIDs; SwiftData cache schema
bumped to rebuild. SCHEMA.md documents the shapes.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
Fourteen Planet Fitness machine exercises join the rig library, each with
authored motion, info page, and schematic equipment via the new props layer
(scene shapes, cables, bars, pads) rendered in lockstep by render.py and the
in-app figure renderer. Abductor and Adductor are authored face-on with the
real seated machine motion — knees-bent legs swinging apart/together against
knee pads — replacing the earlier middle-split depiction. The watch target
now bundles the figure renderer and motion rigs too.
Claude-Session: https://claude.ai/code/session_01LEoff8bXGBS83tK1c55Mf7
Starter splits ship as byte-canonical SplitDocument JSON with fixed
ULIDs (Workouts/Resources/StarterSplits, regenerated by
Scripts/generate_starter_splits.swift) and auto-seed after connect into
a verifiably empty container, re-checked after a settle delay — wrong
guesses are harmless because identical bytes make same-path conflicts
empty and tombstones reap resurrected seeds. Seeds are immutable:
SyncEngine.save(split:) forks an edited seed to a fresh ULID and
soft-deletes the original, whose stub is exempt from pruning
(IndieSync 0.3.0 prune(exempting:)) and vetoes resurrection forever;
split views resolve by id through a redirect map to follow the swap.
Add Starter Splits in Settings restores deleted seeds by lifting the
veto stub and rewriting the bundle bytes.
Also fixes ingestFromWatch bypassing the tombstone veto (a phone-deleted
workout resurrected when a stale watch resent it) and reaps a live file
immediately when its tombstone arrives.
SplitDetailView also picks up the category-grouped exercise sections
from the exercise-category work.
Exercise Library/ holds per-exercise reference docs (setup, cues,
mistakes, progressions) with SVG visuals and a Python-rendered motion
pipeline; Workouts/ExerciseFigure renders the bundled *.motion.json
rigs as animated stick figures on the exercise screen. Exercises gain
a warm-up/main-circuit category, timed exercises display hold time via
planSummary, and a completed exercise reopens to a check screen instead
of its timers.
No unit test target existed (testTargets: [] in scheme). Adds a
bundle.unit-test target wired into the Workouts scheme, with a smoke test
that round-trips SplitDocument through IndieSync's DocumentCoder — the
same codec DocumentFileStore uses for every iCloud document.
rzen