Optimize AI generation speed and add richer insight data

Speed optimizations:
- Add session.prewarm() in InsightsViewModel and ReportsViewModel init
  for 40% faster first-token latency
- Cap maximumResponseTokens on all 8 AI respond() calls (100-600 per use case)
- Add prompt brevity constraints ("1-2 sentences", "2 sentences")
- Reduce report batch concurrency from 4 to 2 to prevent device contention
- Pre-fetch health data once and share across all 3 insight periods

Richer insight data in MoodDataSummarizer:
- Tag-mood correlations: overall frequency + good day vs bad day tag breakdown
- Weather-mood correlations: avg mood by condition and temperature range
- Absence pattern detection: logging gap count with pre/post-gap mood averages
- Entry source breakdown: % of entries from App, Widget, Watch, Siri, etc.
- Update insight prompt to leverage tags, weather, and gap data when available

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Trey t
2026-04-04 11:52:14 -05:00
parent 329fb7c671
commit 70400b7790
7 changed files with 302 additions and 53 deletions

View File

@@ -57,6 +57,7 @@ class InsightsViewModel: ObservableObject {
let service = FoundationModelsInsightService()
insightService = service
isAIAvailable = service.isAvailable
service.prewarm()
} else {
insightService = nil
isAIAvailable = false
@@ -118,12 +119,23 @@ class InsightsViewModel: ObservableObject {
let yearEntries = DataController.shared.getData(startDate: yearStart, endDate: now, includedDays: [1, 2, 3, 4, 5, 6, 7])
let allTimeEntries = DataController.shared.getData(startDate: allTimeStart, endDate: now, includedDays: [1, 2, 3, 4, 5, 6, 7])
// Pre-fetch health data once (instead of 3x per period)
var sharedHealthAverages: HealthService.HealthAverages?
if healthService.isEnabled && healthService.isAuthorized {
let allValidEntries = allTimeEntries.filter { ![.missing, .placeholder].contains($0.mood) }
if !allValidEntries.isEmpty {
let healthData = await healthService.fetchHealthData(for: allValidEntries)
sharedHealthAverages = healthService.computeHealthAverages(entries: allValidEntries, healthData: healthData)
}
}
// Generate insights concurrently for all three periods
await withTaskGroup(of: Void.self) { group in
group.addTask { @MainActor in
await self.generatePeriodInsights(
entries: monthEntries,
periodName: "this month",
healthAverages: sharedHealthAverages,
updateState: { self.monthLoadingState = $0 },
updateInsights: { self.monthInsights = $0 }
)
@@ -133,6 +145,7 @@ class InsightsViewModel: ObservableObject {
await self.generatePeriodInsights(
entries: yearEntries,
periodName: "this year",
healthAverages: sharedHealthAverages,
updateState: { self.yearLoadingState = $0 },
updateInsights: { self.yearInsights = $0 }
)
@@ -142,6 +155,7 @@ class InsightsViewModel: ObservableObject {
await self.generatePeriodInsights(
entries: allTimeEntries,
periodName: "all time",
healthAverages: sharedHealthAverages,
updateState: { self.allTimeLoadingState = $0 },
updateInsights: { self.allTimeInsights = $0 }
)
@@ -152,6 +166,7 @@ class InsightsViewModel: ObservableObject {
private func generatePeriodInsights(
entries: [MoodEntryModel],
periodName: String,
healthAverages: HealthService.HealthAverages?,
updateState: @escaping (InsightLoadingState) -> Void,
updateInsights: @escaping ([Insight]) -> Void
) async {
@@ -184,13 +199,6 @@ class InsightsViewModel: ObservableObject {
updateState(.loading)
// Fetch health data if enabled - pass raw averages to AI for correlation analysis
var healthAverages: HealthService.HealthAverages?
if healthService.isEnabled && healthService.isAuthorized {
let healthData = await healthService.fetchHealthData(for: validEntries)
healthAverages = healthService.computeHealthAverages(entries: validEntries, healthData: healthData)
}
if #available(iOS 26, *), let service = insightService as? FoundationModelsInsightService {
do {
let insights = try await service.generateInsights(