Files
workouts/Scripts/generate_starter_splits.swift
T
rzen 2c1e4759ae Add machine comfort settings and tighten the document schemas
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
2026-07-06 16:29:44 -04:00

139 lines
5.2 KiB
Swift

// Generates the bundled starter-split JSON resources for Workouts.
// Deterministic: fixed ULID timestamp (2020-01-01T00:00:00Z) + SHA256-of-label
// randomness, fixed document timestamps, encoder matching DocumentCoder
// (prettyPrinted + sortedKeys + iso8601). Re-running always emits identical bytes.
import Foundation
import CryptoKit
// MARK: - ULID (Crockford base32, 48-bit ms timestamp + 80 deterministic bits)
let crockford = Array("0123456789ABCDEFGHJKMNPQRSTVWXYZ")
func deterministicULID(label: String) -> String {
let timestampMS: UInt64 = 1_577_836_800_000 // 2020-01-01T00:00:00Z
var bytes = [UInt8]()
for shift in stride(from: 40, through: 0, by: -8) {
bytes.append(UInt8((timestampMS >> UInt64(shift)) & 0xFF))
}
let digest = SHA256.hash(data: Data(label.utf8))
bytes.append(contentsOf: Array(digest).prefix(10))
precondition(bytes.count == 16)
// Encode 128 bits as 26 Crockford base32 chars: big-int division by 32, 26 digits.
var chars = [Character]()
var num = bytes
for _ in 0..<26 {
var remainder = 0
var quotient = [UInt8]()
for byte in num {
let acc = remainder * 256 + Int(byte)
quotient.append(UInt8(acc / 32))
remainder = acc % 32
}
chars.append(crockford[remainder])
num = quotient
}
return String(chars.reversed())
}
// MARK: - Document shapes (field names must mirror Shared/Model/Documents.swift)
struct MachineSetting: Codable {
var name: String
var value: String
}
struct ExerciseDocument: Codable {
var id: String
var name: String
var order: Int
var sets: Int
var reps: Int
var weight: Int
var loadType: Int
var durationSeconds: Int
var machineSettings: [MachineSetting]? = nil
}
struct SplitDocument: Codable {
var schemaVersion: Int
var id: String
var name: String
var color: String
var systemImage: String
var order: Int
var createdAt: Date
var updatedAt: Date
var exercises: [ExerciseDocument]
var activityType: Int?
}
// MARK: - Seed data (canonical source for Workouts/Resources/StarterSplits/*.json)
struct Ex { let name: String; var weight = 0; var sets = 4; var reps = 10; var load = 1; var dur = 0 }
struct Sp { let name: String; let color: String; let icon: String; let activity: Int; let ex: [Ex] }
let seeds: [Sp] = [
Sp(name: "Upper Body", color: "blue", icon: "figure.strengthtraining.traditional", activity: 0, ex: [
Ex(name: "Lat Pull Down", weight: 110),
Ex(name: "Seated Row", weight: 90),
Ex(name: "Shoulder Press", weight: 40),
Ex(name: "Chest Press", weight: 40),
Ex(name: "Tricep Press", weight: 100),
Ex(name: "Arm Curl", weight: 40),
]),
Sp(name: "Core", color: "orange", icon: "figure.core.training", activity: 3, ex: [
Ex(name: "Abdominal", weight: 40),
Ex(name: "Rotary", weight: 40),
]),
Sp(name: "Lower Body", color: "green", icon: "figure.run", activity: 0, ex: [
Ex(name: "Leg Press", weight: 140),
Ex(name: "Leg Curl", weight: 40),
Ex(name: "Leg Extension", weight: 80),
Ex(name: "Abductor", weight: 130),
Ex(name: "Adductor", weight: 130),
Ex(name: "Calfs", weight: 100),
]),
Sp(name: "Bodyweight Core", color: "teal", icon: "figure.core.training", activity: 3, ex: [
Ex(name: "Cat-Cow", sets: 1, reps: 10, load: 0),
Ex(name: "Dead Bug", sets: 1, reps: 8, load: 0),
Ex(name: "Bird Dog", sets: 1, reps: 8, load: 0),
Ex(name: "Plank", sets: 3, reps: 0, load: 2, dur: 45),
Ex(name: "Hollow Body Hold", sets: 3, reps: 0, load: 2, dur: 30),
Ex(name: "Side Plank", sets: 3, reps: 0, load: 2, dur: 30),
Ex(name: "Leg Raises", sets: 3, reps: 12, load: 0),
Ex(name: "Bird Dog", sets: 3, reps: 8, load: 0),
Ex(name: "Reverse Crunch", sets: 3, reps: 12, load: 0),
]),
]
// MARK: - Emit
let encoder = JSONEncoder()
encoder.outputFormatting = [.prettyPrinted, .sortedKeys]
encoder.dateEncodingStrategy = .iso8601
let fixedDate = ISO8601DateFormatter().date(from: "2020-01-01T00:00:00Z")!
let outDir = URL(fileURLWithPath: CommandLine.arguments[1], isDirectory: true)
try FileManager.default.createDirectory(at: outDir, withIntermediateDirectories: true)
for (order, sp) in seeds.enumerated() {
let slug = sp.name.lowercased().replacingOccurrences(of: " ", with: "-")
let doc = SplitDocument(
schemaVersion: 2,
id: deterministicULID(label: "starter.\(slug)"),
name: sp.name, color: sp.color, systemImage: sp.icon, order: order,
createdAt: fixedDate, updatedAt: fixedDate,
exercises: sp.ex.enumerated().map { idx, e in
ExerciseDocument(
id: deterministicULID(label: "starter.\(slug).ex\(idx)"),
name: e.name, order: idx, sets: e.sets, reps: e.reps, weight: e.weight,
loadType: e.load, durationSeconds: e.dur)
},
activityType: sp.activity)
let data = try encoder.encode(doc)
let file = outDir.appendingPathComponent("\(sp.name).split.json")
try data.write(to: file)
print("\(doc.id) \(sp.name) (\(sp.ex.count) exercises)")
}