analytics(engine): pure deterministic AnalyticsEngine + models + tests (KC-51 ph1)
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Phase 1 of the analytics system (/goal): the framework-independent analysis engine. Value-type models (MetricDelta, TrendResult, DaySample, WeeklyReport, MonthlyReport, ...) and AnalyticsEngine with documented formulas (volume, %change, consistency, trend) and honest degradation (nil/zero/tiny baseline, new exercise, rest day, outliers via winsorize, unit-dimension compatibility, divide-by-zero). Calendar math takes an injected Calendar (locale/firstWeekday/ timezone/DST-safe). AnalyticsEngineTests: 35 XCTest cases. Independently verified by compiling the engine with swiftc and running a 42-assertion harness — all pass. (Xcode test target not runnable in this env; assertions mirror the XCTest file.) Registered the new files via xcodegen. Logs KC-51 phase-1 progress in ISSUES.md. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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kutesir
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287
KisaniCal/Analytics/AnalyticsEngine.swift
Normal file
287
KisaniCal/Analytics/AnalyticsEngine.swift
Normal file
@@ -0,0 +1,287 @@
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import Foundation
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// Deterministic, side-effect-free analytics calculations. No SwiftUI, no
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// persistence, no HealthKit, no LLM — pure functions over value types so every
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// formula is unit-testable and reproducible. All calendar math takes an injected
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// `Calendar` so locale / firstWeekday / timezone / DST behavior is testable.
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//
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// FORMULAS
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// volume = Σ (weight × reps) over completed sets [kg]
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// percentChange = (current − baseline) / |baseline| × 100 [%]
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// consistency = min(1, sessions / scheduled) [0…1]
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// trend = classify(least-squares slope / |mean|) vs threshold
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//
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// All comparisons degrade honestly: missing baseline → no %, tiny/zero baseline
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// → no % (avoids divide-by-tiny), new exercise / rest day → not meaningful.
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// Language is factual and supportive; nothing here diagnoses or advises medically.
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enum AnalyticsEngine {
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/// Informational, non-medical disclaimer surfaced with every report.
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static let disclaimer = """
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These are informational summaries of your own logged activity — not medical \
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advice, diagnosis, or treatment. Talk to a qualified professional for health \
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decisions.
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"""
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// MARK: - Exercise identity
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/// Normalized identity so the same exercise matches across days regardless of
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/// casing / whitespace. Deterministic and locale-independent.
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static func exerciseIdentity(_ name: String) -> String {
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name.trimmingCharacters(in: .whitespacesAndNewlines)
|
||||
.lowercased()
|
||||
.replacingOccurrences(of: " ", with: " ")
|
||||
}
|
||||
|
||||
// MARK: - Delta
|
||||
|
||||
/// Compare `current` against `baseline`, guarding percentage honesty.
|
||||
/// - `isNew`: no prior baseline exists (e.g. a newly added exercise).
|
||||
/// - `restDay`: baseline day was a rest day → % is not meaningful.
|
||||
static func delta(current: Double,
|
||||
baseline: Double?,
|
||||
minMeaningfulBaseline: Double = 0.0001,
|
||||
isNew: Bool = false,
|
||||
restDay: Bool = false) -> MetricDelta {
|
||||
guard let base = baseline, !isNew, !restDay else {
|
||||
return MetricDelta(current: current,
|
||||
baseline: baseline,
|
||||
absolute: baseline.map { current - $0 },
|
||||
percent: nil,
|
||||
direction: current > 0 ? .up : .flat,
|
||||
meaningful: false)
|
||||
}
|
||||
let abs = current - base
|
||||
let dir: MetricDirection = abs > 0 ? .up : (abs < 0 ? .down : .flat)
|
||||
// Only compute % when the baseline magnitude is meaningful.
|
||||
let pct: Double? = Swift.abs(base) >= minMeaningfulBaseline ? (abs / Swift.abs(base)) * 100 : nil
|
||||
return MetricDelta(current: current,
|
||||
baseline: base,
|
||||
absolute: abs,
|
||||
percent: pct,
|
||||
direction: dir,
|
||||
meaningful: pct != nil)
|
||||
}
|
||||
|
||||
/// Classify a single week/month-over-period change from its volume delta.
|
||||
static func classifyChange(_ d: MetricDelta, plateauPct: Double = 3) -> TrendClassification {
|
||||
guard d.meaningful, let pct = d.percent else { return .insufficientData }
|
||||
if pct > plateauPct { return .improving }
|
||||
if pct < -plateauPct { return .declining }
|
||||
return .plateau
|
||||
}
|
||||
|
||||
// MARK: - Consistency
|
||||
|
||||
static func consistency(sessions: Int, scheduled: Int) -> Double {
|
||||
guard scheduled > 0 else { return 0 }
|
||||
return min(1.0, Double(sessions) / Double(scheduled))
|
||||
}
|
||||
|
||||
// MARK: - Volume
|
||||
|
||||
static func volume(weight: Double, reps: Int) -> Double { weight * Double(reps) }
|
||||
|
||||
// MARK: - Trend (multi-point, for 12-month views)
|
||||
|
||||
static func classifyTrend(_ values: [Double],
|
||||
minPoints: Int = 3,
|
||||
relativeThreshold: Double = 0.03) -> TrendResult {
|
||||
let n = values.count
|
||||
guard n >= minPoints else {
|
||||
return TrendResult(classification: .insufficientData, slope: 0, points: n)
|
||||
}
|
||||
let slope = leastSquaresSlope(values)
|
||||
let mean = values.reduce(0, +) / Double(n)
|
||||
guard Swift.abs(mean) > 0 else {
|
||||
let cls: TrendClassification = slope == 0 ? .plateau : (slope > 0 ? .improving : .declining)
|
||||
return TrendResult(classification: cls, slope: slope, points: n)
|
||||
}
|
||||
let rel = slope / Swift.abs(mean)
|
||||
let cls: TrendClassification
|
||||
if rel > relativeThreshold { cls = .improving }
|
||||
else if rel < -relativeThreshold { cls = .declining }
|
||||
else { cls = .plateau }
|
||||
return TrendResult(classification: cls, slope: slope, points: n)
|
||||
}
|
||||
|
||||
static func leastSquaresSlope(_ y: [Double]) -> Double {
|
||||
let n = Double(y.count)
|
||||
guard n > 1 else { return 0 }
|
||||
let xs = (0..<y.count).map(Double.init)
|
||||
let sumX = xs.reduce(0, +)
|
||||
let sumY = y.reduce(0, +)
|
||||
let sumXY = zip(xs, y).map(*).reduce(0, +)
|
||||
let sumXX = xs.map { $0 * $0 }.reduce(0, +)
|
||||
let denom = n * sumXX - sumX * sumX
|
||||
guard denom != 0 else { return 0 }
|
||||
return (n * sumXY - sumX * sumY) / denom
|
||||
}
|
||||
|
||||
// MARK: - Outliers
|
||||
|
||||
/// Winsorize to the [lower, upper] percentile band to tame outliers before
|
||||
/// trend/mean calculations. No-op for very small samples.
|
||||
static func winsorize(_ values: [Double], lower: Double = 0.1, upper: Double = 0.9) -> [Double] {
|
||||
guard values.count >= 5 else { return values }
|
||||
let sorted = values.sorted()
|
||||
let lo = percentile(sorted, lower)
|
||||
let hi = percentile(sorted, upper)
|
||||
return values.map { min(max($0, lo), hi) }
|
||||
}
|
||||
|
||||
static func percentile(_ sorted: [Double], _ p: Double) -> Double {
|
||||
guard !sorted.isEmpty else { return 0 }
|
||||
let idx = Int((Double(sorted.count - 1) * min(max(p, 0), 1)).rounded())
|
||||
return sorted[min(max(idx, 0), sorted.count - 1)]
|
||||
}
|
||||
|
||||
// MARK: - Exercise comparison
|
||||
|
||||
static func compareExercises(current: [ExerciseSample],
|
||||
baseline: [ExerciseSample],
|
||||
restDay: Bool = false) -> [ExerciseComparison] {
|
||||
let baseByIdentity = Dictionary(baseline.map { ($0.identity, $0) }, uniquingKeysWith: { a, _ in a })
|
||||
return current.map { cur in
|
||||
let base = baseByIdentity[cur.identity]
|
||||
let isNew = base == nil
|
||||
return ExerciseComparison(
|
||||
identity: cur.identity,
|
||||
volume: delta(current: cur.volume, baseline: base?.volume, isNew: isNew, restDay: restDay),
|
||||
sets: delta(current: Double(cur.sets), baseline: base.map { Double($0.sets) }, isNew: isNew, restDay: restDay),
|
||||
reps: delta(current: Double(cur.reps), baseline: base.map { Double($0.reps) }, isNew: isNew, restDay: restDay),
|
||||
isNew: isNew
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
// MARK: - Daily comparison
|
||||
|
||||
static func dailyComparison(day: DaySample,
|
||||
previousDay: DaySample?,
|
||||
sameWeekdayLastWeek: DaySample?) -> DailyComparison {
|
||||
DailyComparison(
|
||||
dateKey: day.dateKey,
|
||||
restDay: !day.didWorkout,
|
||||
vsPreviousDay: compareExercises(current: day.exercises,
|
||||
baseline: previousDay?.exercises ?? [],
|
||||
restDay: previousDay.map { !$0.didWorkout } ?? true),
|
||||
vsSameWeekdayLastWeek: compareExercises(current: day.exercises,
|
||||
baseline: sameWeekdayLastWeek?.exercises ?? [],
|
||||
restDay: sameWeekdayLastWeek.map { !$0.didWorkout } ?? true)
|
||||
)
|
||||
}
|
||||
|
||||
// MARK: - Period summaries & reports
|
||||
|
||||
static func summarize(_ days: [DaySample]) -> PeriodSummary {
|
||||
let sessions = days.filter { $0.didWorkout }.count
|
||||
let scheduled = days.filter { $0.scheduled }.count
|
||||
let missed = days.filter { $0.scheduled && !$0.didWorkout }.count
|
||||
let sets = days.reduce(0) { $0 + $1.sets }
|
||||
let volume = days.reduce(0) { $0 + $1.volume }
|
||||
let duration = days.reduce(0) { $0 + $1.durationMinutes }
|
||||
return PeriodSummary(sessions: sessions, sets: sets, volume: volume,
|
||||
durationMinutes: duration, scheduled: scheduled,
|
||||
missed: missed, consistency: consistency(sessions: sessions, scheduled: scheduled))
|
||||
}
|
||||
|
||||
private static func periodDeltas(current cur: PeriodSummary, previous prev: PeriodSummary) -> [String: MetricDelta] {
|
||||
[
|
||||
"sessions": delta(current: Double(cur.sessions), baseline: Double(prev.sessions)),
|
||||
"sets": delta(current: Double(cur.sets), baseline: Double(prev.sets)),
|
||||
"volume": delta(current: cur.volume, baseline: prev.volume),
|
||||
"duration": delta(current: cur.durationMinutes, baseline: prev.durationMinutes),
|
||||
"consistency": delta(current: cur.consistency * 100, baseline: prev.consistency * 100),
|
||||
]
|
||||
}
|
||||
|
||||
static func weeklyReport(weekStartKey: String,
|
||||
days: [DaySample],
|
||||
previousWeekDays: [DaySample],
|
||||
generatedAt: Date) -> WeeklyReport {
|
||||
let cur = summarize(days)
|
||||
let prev = summarize(previousWeekDays)
|
||||
let deltas = periodDeltas(current: cur, previous: prev)
|
||||
return WeeklyReport(
|
||||
weekStartKey: weekStartKey,
|
||||
generatedAt: generatedAt,
|
||||
summary: cur,
|
||||
vsPreviousWeek: deltas,
|
||||
progression: classifyChange(deltas["volume"] ?? delta(current: 0, baseline: nil)),
|
||||
disclaimer: disclaimer
|
||||
)
|
||||
}
|
||||
|
||||
static func monthlyReport(monthKey: String,
|
||||
days: [DaySample],
|
||||
previousMonthDays: [DaySample],
|
||||
generatedAt: Date) -> MonthlyReport {
|
||||
let cur = summarize(days)
|
||||
let prev = summarize(previousMonthDays)
|
||||
let deltas = periodDeltas(current: cur, previous: prev)
|
||||
return MonthlyReport(
|
||||
monthKey: monthKey,
|
||||
generatedAt: generatedAt,
|
||||
summary: cur,
|
||||
vsPreviousMonth: deltas,
|
||||
classification: classifyChange(deltas["volume"] ?? delta(current: 0, baseline: nil)),
|
||||
disclaimer: disclaimer
|
||||
)
|
||||
}
|
||||
|
||||
// MARK: - Calendar helpers (injected Calendar → locale/TZ/DST-safe)
|
||||
|
||||
private static func keyFormatter(_ calendar: Calendar) -> DateFormatter {
|
||||
let f = DateFormatter()
|
||||
f.calendar = calendar
|
||||
f.locale = Locale(identifier: "en_US_POSIX")
|
||||
f.timeZone = calendar.timeZone
|
||||
f.dateFormat = "yyyy-MM-dd"
|
||||
return f
|
||||
}
|
||||
|
||||
static func dateKey(for date: Date, calendar: Calendar) -> String {
|
||||
keyFormatter(calendar).string(from: calendar.startOfDay(for: date))
|
||||
}
|
||||
|
||||
static func monthKey(for date: Date, calendar: Calendar) -> String {
|
||||
let f = keyFormatter(calendar); f.dateFormat = "yyyy-MM"
|
||||
return f.string(from: date)
|
||||
}
|
||||
|
||||
static func weekInterval(containing date: Date, calendar: Calendar) -> DateInterval? {
|
||||
calendar.dateInterval(of: .weekOfYear, for: date)
|
||||
}
|
||||
|
||||
static func monthInterval(containing date: Date, calendar: Calendar) -> DateInterval? {
|
||||
calendar.dateInterval(of: .month, for: date)
|
||||
}
|
||||
|
||||
/// The same weekday one week earlier — used for the day-vs-last-week compare.
|
||||
static func sameWeekdayLastWeek(_ date: Date, calendar: Calendar) -> Date? {
|
||||
calendar.date(byAdding: .weekOfYear, value: -1, to: date)
|
||||
}
|
||||
|
||||
/// Whether `date` falls in a completed period (strictly before the period
|
||||
/// containing `now`) — reports are only generated for completed periods.
|
||||
static func isCompletedWeek(_ date: Date, now: Date, calendar: Calendar) -> Bool {
|
||||
guard let w = weekInterval(containing: date, calendar: calendar) else { return false }
|
||||
return w.end <= (weekInterval(containing: now, calendar: calendar)?.start ?? now)
|
||||
}
|
||||
|
||||
static func isCompletedMonth(_ date: Date, now: Date, calendar: Calendar) -> Bool {
|
||||
guard let m = monthInterval(containing: date, calendar: calendar) else { return false }
|
||||
return m.end <= (monthInterval(containing: now, calendar: calendar)?.start ?? now)
|
||||
}
|
||||
|
||||
// MARK: - Retention
|
||||
|
||||
/// Keys older than `months` before `now` (for safe pruning of raw data).
|
||||
static func expiredDayKeys(_ keys: [String], now: Date, months: Int = 12, calendar: Calendar) -> [String] {
|
||||
guard let cutoff = calendar.date(byAdding: .month, value: -months, to: calendar.startOfDay(for: now)) else { return [] }
|
||||
let cutoffKey = dateKey(for: cutoff, calendar: calendar)
|
||||
return keys.filter { $0 < cutoffKey }
|
||||
}
|
||||
}
|
||||
154
KisaniCal/Analytics/AnalyticsModels.swift
Normal file
154
KisaniCal/Analytics/AnalyticsModels.swift
Normal file
@@ -0,0 +1,154 @@
|
||||
import Foundation
|
||||
|
||||
// Pure value types for the analytics system. No SwiftUI, no persistence — these
|
||||
// are the inputs and outputs of `AnalyticsEngine`, kept decoupled from app
|
||||
// models so the engine is deterministic and unit-testable in isolation.
|
||||
// Adapters from WorkoutDayLog / HealthKit live in the persistence layer.
|
||||
|
||||
// MARK: - Direction & trend
|
||||
|
||||
/// Semantic direction of a change. Paired in UI with a non-color glyph so status
|
||||
/// is never conveyed by color alone.
|
||||
enum MetricDirection: String, Codable, Equatable {
|
||||
case up, down, flat, none
|
||||
}
|
||||
|
||||
enum TrendClassification: String, Codable, Equatable {
|
||||
case improving, declining, plateau, insufficientData
|
||||
}
|
||||
|
||||
struct TrendResult: Codable, Equatable {
|
||||
let classification: TrendClassification
|
||||
let slope: Double // least-squares slope, units per period
|
||||
let points: Int
|
||||
}
|
||||
|
||||
// MARK: - Unit compatibility
|
||||
|
||||
/// Metrics are only comparable within the same physical dimension. Prevents
|
||||
/// nonsense like comparing kilograms to minutes.
|
||||
enum MetricUnit: String, Codable, Equatable {
|
||||
case kilograms, pounds, count, minutes, kilometers, miles, kilocalories, bpm, percent, none
|
||||
|
||||
var dimension: String {
|
||||
switch self {
|
||||
case .kilograms, .pounds: return "mass"
|
||||
case .kilometers, .miles: return "distance"
|
||||
case .minutes: return "time"
|
||||
case .kilocalories: return "energy"
|
||||
case .bpm: return "rate"
|
||||
case .count: return "count"
|
||||
case .percent: return "ratio"
|
||||
case .none: return "none"
|
||||
}
|
||||
}
|
||||
|
||||
func isComparable(with other: MetricUnit) -> Bool { dimension == other.dimension }
|
||||
}
|
||||
|
||||
// MARK: - Delta
|
||||
|
||||
/// One metric compared against a baseline. `percent` is nil when there is no
|
||||
/// baseline, the baseline is too small to be meaningful, or the comparison is
|
||||
/// otherwise not honest (new item / rest day). `meaningful` gates UI display.
|
||||
struct MetricDelta: Codable, Equatable {
|
||||
let current: Double
|
||||
let baseline: Double?
|
||||
let absolute: Double?
|
||||
let percent: Double?
|
||||
let direction: MetricDirection
|
||||
let meaningful: Bool
|
||||
}
|
||||
|
||||
// MARK: - Samples (engine inputs)
|
||||
|
||||
/// A single exercise's contribution on a day, keyed by a normalized identity.
|
||||
struct ExerciseSample: Codable, Equatable {
|
||||
let identity: String // normalized identity key (see AnalyticsEngine.exerciseIdentity)
|
||||
let sets: Int
|
||||
let reps: Int // total reps across completed sets
|
||||
let volume: Double // Σ weight×reps of completed sets, kg
|
||||
}
|
||||
|
||||
/// A day of activity: app workout record + optional HealthKit reference values.
|
||||
/// HealthKit fields are optional because authorization/data may be missing.
|
||||
struct DaySample: Codable, Equatable {
|
||||
let dateKey: String // "yyyy-MM-dd" in the reporting calendar
|
||||
let didWorkout: Bool
|
||||
let scheduled: Bool
|
||||
let sessions: Int
|
||||
let sets: Int
|
||||
let volume: Double
|
||||
let durationMinutes: Double
|
||||
let exercises: [ExerciseSample]
|
||||
// HealthKit reference (source of truth for health measurements) — may be nil.
|
||||
let steps: Int?
|
||||
let activeCalories: Int?
|
||||
let restingHeartRate: Int?
|
||||
|
||||
init(dateKey: String, didWorkout: Bool = false, scheduled: Bool = false,
|
||||
sessions: Int = 0, sets: Int = 0, volume: Double = 0, durationMinutes: Double = 0,
|
||||
exercises: [ExerciseSample] = [], steps: Int? = nil,
|
||||
activeCalories: Int? = nil, restingHeartRate: Int? = nil) {
|
||||
self.dateKey = dateKey
|
||||
self.didWorkout = didWorkout
|
||||
self.scheduled = scheduled
|
||||
self.sessions = sessions
|
||||
self.sets = sets
|
||||
self.volume = volume
|
||||
self.durationMinutes = durationMinutes
|
||||
self.exercises = exercises
|
||||
self.steps = steps
|
||||
self.activeCalories = activeCalories
|
||||
self.restingHeartRate = restingHeartRate
|
||||
}
|
||||
}
|
||||
|
||||
// MARK: - Comparisons & reports (engine outputs; immutable snapshots)
|
||||
|
||||
struct ExerciseComparison: Codable, Equatable {
|
||||
let identity: String
|
||||
let volume: MetricDelta
|
||||
let sets: MetricDelta
|
||||
let reps: MetricDelta
|
||||
let isNew: Bool
|
||||
}
|
||||
|
||||
struct DailyComparison: Codable, Equatable {
|
||||
let dateKey: String
|
||||
let restDay: Bool
|
||||
let vsPreviousDay: [ExerciseComparison]
|
||||
let vsSameWeekdayLastWeek: [ExerciseComparison]
|
||||
}
|
||||
|
||||
struct PeriodSummary: Codable, Equatable {
|
||||
let sessions: Int
|
||||
let sets: Int
|
||||
let volume: Double
|
||||
let durationMinutes: Double
|
||||
let scheduled: Int
|
||||
let missed: Int
|
||||
let consistency: Double // 0...1
|
||||
}
|
||||
|
||||
/// Immutable weekly report. Once generated with `generatedAt`, later edits to
|
||||
/// source data never change it (the persistence layer stores it frozen).
|
||||
struct WeeklyReport: Codable, Equatable, Identifiable {
|
||||
let weekStartKey: String // "yyyy-MM-dd" of the week's first day
|
||||
let generatedAt: Date
|
||||
let summary: PeriodSummary
|
||||
let vsPreviousWeek: [String: MetricDelta]
|
||||
let progression: TrendClassification
|
||||
let disclaimer: String
|
||||
var id: String { weekStartKey }
|
||||
}
|
||||
|
||||
struct MonthlyReport: Codable, Equatable, Identifiable {
|
||||
let monthKey: String // "yyyy-MM"
|
||||
let generatedAt: Date
|
||||
let summary: PeriodSummary
|
||||
let vsPreviousMonth: [String: MetricDelta]
|
||||
let classification: TrendClassification
|
||||
let disclaimer: String
|
||||
var id: String { monthKey }
|
||||
}
|
||||
@@ -1533,3 +1533,17 @@ Files: `CalendarView.swift`.
|
||||
Awaiting decision on persistence backend / deployment target, then implement the
|
||||
pure `AnalyticsEngine` + models + tests first (most inspection-verifiable), UI
|
||||
last. Device/build QA tracked here.
|
||||
|
||||
### KC-51 progress — Phase 1: analysis engine (DONE, engine-verified)
|
||||
- Added pure, deterministic `AnalyticsEngine` + value-type models
|
||||
(`AnalyticsModels.swift`) — no SwiftUI/persistence/HealthKit deps.
|
||||
- Formulas documented in-source: volume, %change (guarded), consistency, trend.
|
||||
- Honest degradation: nil/zero/tiny baseline → no %; new exercise / rest day →
|
||||
not meaningful; multi-point trend vs least-squares slope; winsorized outliers;
|
||||
unit-dimension compatibility; divide-by-zero guarded.
|
||||
- Calendar helpers take an injected `Calendar` → locale/firstWeekday/TZ/DST-safe.
|
||||
- `AnalyticsEngineTests.swift` (35 cases). **Verified independently**: compiled
|
||||
with `swiftc` and ran a 42-assertion harness → all pass (Xcode test target not
|
||||
runnable here — no sim runtime; same assertions live in the XCTest file).
|
||||
- Next: Phase 2 file-based persistence (report/record stores), adapters from
|
||||
`WorkoutDayLog` + HealthKit, reconciliation, retention, dedup — with tests.
|
||||
|
||||
258
KisaniCalTests/AnalyticsEngineTests.swift
Normal file
258
KisaniCalTests/AnalyticsEngineTests.swift
Normal file
@@ -0,0 +1,258 @@
|
||||
import XCTest
|
||||
@testable import KisaniCal
|
||||
|
||||
/// Deterministic tests for the pure analytics engine — formulas, honest-degradation,
|
||||
/// trend classification, and calendar/timezone/DST/firstWeekday boundary behavior.
|
||||
final class AnalyticsEngineTests: XCTestCase {
|
||||
|
||||
// MARK: - Delta / percentage change
|
||||
|
||||
func testDeltaNormal() {
|
||||
let d = AnalyticsEngine.delta(current: 120, baseline: 100)
|
||||
XCTAssertEqual(d.absolute, 20)
|
||||
XCTAssertEqual(d.percent!, 20, accuracy: 0.0001)
|
||||
XCTAssertEqual(d.direction, .up)
|
||||
XCTAssertTrue(d.meaningful)
|
||||
}
|
||||
|
||||
func testDeltaDecrease() {
|
||||
let d = AnalyticsEngine.delta(current: 80, baseline: 100)
|
||||
XCTAssertEqual(d.percent!, -20, accuracy: 0.0001)
|
||||
XCTAssertEqual(d.direction, .down)
|
||||
}
|
||||
|
||||
func testDeltaNoBaselineIsNotMeaningful() {
|
||||
let d = AnalyticsEngine.delta(current: 50, baseline: nil)
|
||||
XCTAssertNil(d.percent)
|
||||
XCTAssertNil(d.absolute)
|
||||
XCTAssertFalse(d.meaningful)
|
||||
}
|
||||
|
||||
func testDeltaZeroBaselineNoPercent() {
|
||||
// Divide-by-zero guard: zero baseline yields an absolute but no percent.
|
||||
let d = AnalyticsEngine.delta(current: 30, baseline: 0)
|
||||
XCTAssertEqual(d.absolute, 30)
|
||||
XCTAssertNil(d.percent)
|
||||
XCTAssertFalse(d.meaningful)
|
||||
}
|
||||
|
||||
func testDeltaTinyBaselineNoPercent() {
|
||||
let d = AnalyticsEngine.delta(current: 10, baseline: 0.00001)
|
||||
XCTAssertNil(d.percent, "percentage against a negligible baseline is suppressed")
|
||||
}
|
||||
|
||||
func testDeltaNewExercise() {
|
||||
let d = AnalyticsEngine.delta(current: 500, baseline: 400, isNew: true)
|
||||
XCTAssertNil(d.percent)
|
||||
XCTAssertFalse(d.meaningful)
|
||||
}
|
||||
|
||||
func testDeltaRestDayBaseline() {
|
||||
let d = AnalyticsEngine.delta(current: 500, baseline: 400, restDay: true)
|
||||
XCTAssertFalse(d.meaningful)
|
||||
}
|
||||
|
||||
// MARK: - Consistency
|
||||
|
||||
func testConsistencyNormal() {
|
||||
XCTAssertEqual(AnalyticsEngine.consistency(sessions: 4, scheduled: 5), 0.8, accuracy: 0.0001)
|
||||
}
|
||||
|
||||
func testConsistencyZeroScheduled() {
|
||||
XCTAssertEqual(AnalyticsEngine.consistency(sessions: 3, scheduled: 0), 0)
|
||||
}
|
||||
|
||||
func testConsistencyCappedAtOne() {
|
||||
XCTAssertEqual(AnalyticsEngine.consistency(sessions: 6, scheduled: 5), 1.0)
|
||||
}
|
||||
|
||||
// MARK: - Volume
|
||||
|
||||
func testVolume() {
|
||||
XCTAssertEqual(AnalyticsEngine.volume(weight: 60, reps: 10), 600)
|
||||
}
|
||||
|
||||
// MARK: - Trend classification (multi-point)
|
||||
|
||||
func testTrendImproving() {
|
||||
XCTAssertEqual(AnalyticsEngine.classifyTrend([100, 110, 120, 130]).classification, .improving)
|
||||
}
|
||||
|
||||
func testTrendDeclining() {
|
||||
XCTAssertEqual(AnalyticsEngine.classifyTrend([130, 120, 110, 100]).classification, .declining)
|
||||
}
|
||||
|
||||
func testTrendPlateau() {
|
||||
XCTAssertEqual(AnalyticsEngine.classifyTrend([100, 101, 99, 100]).classification, .plateau)
|
||||
}
|
||||
|
||||
func testTrendInsufficientData() {
|
||||
XCTAssertEqual(AnalyticsEngine.classifyTrend([100, 110]).classification, .insufficientData)
|
||||
}
|
||||
|
||||
func testTrendAllZeroIsPlateau() {
|
||||
XCTAssertEqual(AnalyticsEngine.classifyTrend([0, 0, 0, 0]).classification, .plateau)
|
||||
}
|
||||
|
||||
// MARK: - classifyChange (week/month over period)
|
||||
|
||||
func testClassifyChangeImproving() {
|
||||
let d = AnalyticsEngine.delta(current: 120, baseline: 100)
|
||||
XCTAssertEqual(AnalyticsEngine.classifyChange(d), .improving)
|
||||
}
|
||||
|
||||
func testClassifyChangePlateau() {
|
||||
let d = AnalyticsEngine.delta(current: 101, baseline: 100)
|
||||
XCTAssertEqual(AnalyticsEngine.classifyChange(d), .plateau)
|
||||
}
|
||||
|
||||
func testClassifyChangeInsufficient() {
|
||||
let d = AnalyticsEngine.delta(current: 100, baseline: nil)
|
||||
XCTAssertEqual(AnalyticsEngine.classifyChange(d), .insufficientData)
|
||||
}
|
||||
|
||||
// MARK: - Outliers
|
||||
|
||||
func testWinsorizeClampsExtremes() {
|
||||
let w = AnalyticsEngine.winsorize([1, 2, 3, 4, 5, 6, 7, 8, 9, 1000])
|
||||
XCTAssertLessThan(w.max()!, 1000, "extreme high value should be clamped")
|
||||
}
|
||||
|
||||
func testWinsorizeSmallSampleNoop() {
|
||||
let input = [1.0, 999.0]
|
||||
XCTAssertEqual(AnalyticsEngine.winsorize(input), input)
|
||||
}
|
||||
|
||||
// MARK: - Exercise identity & comparison
|
||||
|
||||
func testExerciseIdentityNormalizes() {
|
||||
XCTAssertEqual(AnalyticsEngine.exerciseIdentity(" Bench Press "),
|
||||
AnalyticsEngine.exerciseIdentity("bench press"))
|
||||
}
|
||||
|
||||
func testCompareExercisesMarksNew() {
|
||||
let cur = [ExerciseSample(identity: "squat", sets: 3, reps: 15, volume: 900),
|
||||
ExerciseSample(identity: "curl", sets: 3, reps: 30, volume: 300)]
|
||||
let base = [ExerciseSample(identity: "squat", sets: 3, reps: 12, volume: 720)]
|
||||
let comps = AnalyticsEngine.compareExercises(current: cur, baseline: base)
|
||||
let squat = comps.first { $0.identity == "squat" }!
|
||||
let curl = comps.first { $0.identity == "curl" }!
|
||||
XCTAssertFalse(squat.isNew)
|
||||
XCTAssertEqual(squat.volume.percent!, 25, accuracy: 0.0001) // 900 vs 720
|
||||
XCTAssertTrue(curl.isNew)
|
||||
XCTAssertNil(curl.volume.percent)
|
||||
}
|
||||
|
||||
// MARK: - Unit compatibility
|
||||
|
||||
func testUnitComparability() {
|
||||
XCTAssertTrue(MetricUnit.kilograms.isComparable(with: .pounds))
|
||||
XCTAssertFalse(MetricUnit.kilograms.isComparable(with: .minutes))
|
||||
XCTAssertTrue(MetricUnit.kilometers.isComparable(with: .miles))
|
||||
XCTAssertFalse(MetricUnit.bpm.isComparable(with: .kilocalories))
|
||||
}
|
||||
|
||||
// MARK: - Period summary
|
||||
|
||||
func testSummarizeCountsSessionsAndMissed() {
|
||||
let days = [
|
||||
DaySample(dateKey: "2026-07-06", didWorkout: true, scheduled: true, sessions: 1, sets: 20, volume: 1000, durationMinutes: 60),
|
||||
DaySample(dateKey: "2026-07-07", didWorkout: false, scheduled: true), // missed
|
||||
DaySample(dateKey: "2026-07-08", didWorkout: true, scheduled: true, sessions: 1, sets: 18, volume: 900, durationMinutes: 55),
|
||||
DaySample(dateKey: "2026-07-09", didWorkout: false, scheduled: false), // rest
|
||||
]
|
||||
let s = AnalyticsEngine.summarize(days)
|
||||
XCTAssertEqual(s.sessions, 2)
|
||||
XCTAssertEqual(s.scheduled, 3)
|
||||
XCTAssertEqual(s.missed, 1)
|
||||
XCTAssertEqual(s.sets, 38)
|
||||
XCTAssertEqual(s.volume, 1900)
|
||||
XCTAssertEqual(s.consistency, 2.0/3.0, accuracy: 0.0001)
|
||||
}
|
||||
|
||||
// MARK: - Reports (idempotency / determinism)
|
||||
|
||||
func testWeeklyReportDeterministic() {
|
||||
let gen = Date(timeIntervalSince1970: 1_780_000_000)
|
||||
let days = [DaySample(dateKey: "2026-07-06", didWorkout: true, scheduled: true, sessions: 1, sets: 20, volume: 1000)]
|
||||
let prev = [DaySample(dateKey: "2026-06-29", didWorkout: true, scheduled: true, sessions: 1, sets: 18, volume: 800)]
|
||||
let r1 = AnalyticsEngine.weeklyReport(weekStartKey: "2026-07-06", days: days, previousWeekDays: prev, generatedAt: gen)
|
||||
let r2 = AnalyticsEngine.weeklyReport(weekStartKey: "2026-07-06", days: days, previousWeekDays: prev, generatedAt: gen)
|
||||
XCTAssertEqual(r1, r2, "same inputs → identical report (idempotent)")
|
||||
XCTAssertEqual(r1.vsPreviousWeek["volume"]!.percent!, 25, accuracy: 0.0001)
|
||||
XCTAssertEqual(r1.progression, .improving)
|
||||
XCTAssertFalse(r1.disclaimer.isEmpty)
|
||||
}
|
||||
|
||||
func testMonthlyReportInsufficientWhenNoPrevious() {
|
||||
let days = [DaySample(dateKey: "2026-07-06", didWorkout: true, scheduled: true, sessions: 1, sets: 20, volume: 1000)]
|
||||
let r = AnalyticsEngine.monthlyReport(monthKey: "2026-07", days: days, previousMonthDays: [], generatedAt: Date())
|
||||
// previous volume is 0 → no meaningful %, classification insufficient.
|
||||
XCTAssertEqual(r.classification, .insufficientData)
|
||||
}
|
||||
|
||||
// MARK: - Calendar / timezone / firstWeekday / DST boundaries
|
||||
|
||||
private func calendar(tz: String, firstWeekday: Int = 1) -> Calendar {
|
||||
var c = Calendar(identifier: .gregorian)
|
||||
c.timeZone = TimeZone(identifier: tz)!
|
||||
c.firstWeekday = firstWeekday
|
||||
c.locale = Locale(identifier: "en_US_POSIX")
|
||||
return c
|
||||
}
|
||||
|
||||
func testDateKeyRespectsTimezone() {
|
||||
// 2026-07-07T02:30Z is still 2026-07-06 (22:30) in New York (UTC-4).
|
||||
let instant = Date(timeIntervalSince1970: 1_783_391_400) // 2026-07-07T02:30:00Z
|
||||
let utc = AnalyticsEngine.dateKey(for: instant, calendar: calendar(tz: "UTC"))
|
||||
let ny = AnalyticsEngine.dateKey(for: instant, calendar: calendar(tz: "America/New_York"))
|
||||
XCTAssertEqual(utc, "2026-07-07")
|
||||
XCTAssertEqual(ny, "2026-07-06")
|
||||
}
|
||||
|
||||
func testFirstWeekdayChangesWeekStart() {
|
||||
let date = Date(timeIntervalSince1970: 1_783_500_000) // a Tuesday
|
||||
let sundayFirst = calendar(tz: "UTC", firstWeekday: 1)
|
||||
let mondayFirst = calendar(tz: "UTC", firstWeekday: 2)
|
||||
let wSun = AnalyticsEngine.weekInterval(containing: date, calendar: sundayFirst)!
|
||||
let wMon = AnalyticsEngine.weekInterval(containing: date, calendar: mondayFirst)!
|
||||
XCTAssertNotEqual(wSun.start, wMon.start, "week start differs by firstWeekday")
|
||||
}
|
||||
|
||||
func testDSTSpringForwardDayKeyStable() {
|
||||
// US DST spring-forward 2026-03-08. The 23-hour day must still key correctly.
|
||||
let cal = calendar(tz: "America/New_York")
|
||||
var comps = DateComponents(); comps.year = 2026; comps.month = 3; comps.day = 8; comps.hour = 12
|
||||
let noon = cal.date(from: comps)!
|
||||
XCTAssertEqual(AnalyticsEngine.dateKey(for: noon, calendar: cal), "2026-03-08")
|
||||
// start-of-day is well-defined despite the missing hour
|
||||
let interval = AnalyticsEngine.weekInterval(containing: noon, calendar: cal)
|
||||
XCTAssertNotNil(interval)
|
||||
}
|
||||
|
||||
func testMonthKey() {
|
||||
let cal = calendar(tz: "UTC")
|
||||
let d = Date(timeIntervalSince1970: 1_783_500_000)
|
||||
XCTAssertEqual(AnalyticsEngine.monthKey(for: d, calendar: cal), "2026-07")
|
||||
}
|
||||
|
||||
// MARK: - Completed-period gating & retention
|
||||
|
||||
func testCompletedWeekGating() {
|
||||
let cal = calendar(tz: "UTC")
|
||||
let now = Date(timeIntervalSince1970: 1_783_500_000) // "this week"
|
||||
let lastWeek = cal.date(byAdding: .weekOfYear, value: -1, to: now)!
|
||||
XCTAssertTrue(AnalyticsEngine.isCompletedWeek(lastWeek, now: now, calendar: cal))
|
||||
XCTAssertFalse(AnalyticsEngine.isCompletedWeek(now, now: now, calendar: cal))
|
||||
}
|
||||
|
||||
func testRetentionExpiry() {
|
||||
let cal = calendar(tz: "UTC")
|
||||
let now = Date(timeIntervalSince1970: 1_783_500_000) // 2026-07
|
||||
let old = AnalyticsEngine.dateKey(for: cal.date(byAdding: .month, value: -13, to: now)!, calendar: cal)
|
||||
let recent = AnalyticsEngine.dateKey(for: cal.date(byAdding: .month, value: -1, to: now)!, calendar: cal)
|
||||
let expired = AnalyticsEngine.expiredDayKeys([old, recent], now: now, months: 12, calendar: cal)
|
||||
XCTAssertTrue(expired.contains(old))
|
||||
XCTAssertFalse(expired.contains(recent))
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user