Pass raw health metrics to AI instead of hardcoded correlations

- Replace HealthService.analyzeCorrelations() with computeHealthAverages()
- Remove hardcoded threshold-based correlation analysis (8k steps, 7hrs sleep, etc.)
- Pass raw averages (steps, exercise, sleep, HRV, HR, mindfulness, calories) to AI
- Let Apple Intelligence find nuanced multi-variable patterns naturally
- Update MoodDataSummarizer to format raw health data for AI prompts
- Simplifies code by ~200 lines while improving insight quality

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

Shared/Services/FoundationModelsInsightService.swift

@@ -185,13 +185,13 @@ class FoundationModelsInsightService: ObservableObject {
     ///   - entries: Array of mood entries to analyze
     ///   - periodName: The time period name (e.g., "this month", "this year", "all time")
     ///   - count: Number of insights to generate (default 5)
-    ///   - healthCorrelations: Optional health data correlations to include
+    ///   - healthAverages: Optional raw health data for AI to analyze correlations
     /// - Returns: Array of Insight objects
     func generateInsights(
         for entries: [MoodEntryModel],
         periodName: String,
         count: Int = 5,
-        healthCorrelations: [HealthCorrelation] = []
+        healthAverages: HealthService.HealthAverages? = nil
     ) async throws -> [Insight] {
         // Check cache first
         if let cached = cachedInsights[periodName],
@@ -216,8 +216,8 @@ class FoundationModelsInsightService: ObservableObject {
         isGenerating = true
         defer { isGenerating = false }
 
-        // Prepare data summary with health correlations
-        let summary = summarizer.summarize(entries: validEntries, periodName: periodName, healthCorrelations: healthCorrelations)
+        // Prepare data summary with health data for AI analysis
+        let summary = summarizer.summarize(entries: validEntries, periodName: periodName, healthAverages: healthAverages)
         let prompt = buildPrompt(from: summary, count: count)
 
         do {