feat: feedback-driven recipe discovery (auto-ingest via Spoonacular)

backend/app/api/meals.py

@@ -16,6 +16,7 @@ from app.schemas import (
 )
 from app.security import require_session
 from app.services import approval as approval_service
+from app.services.feedback_analyzer import FeedbackAnalyzer
 from uuid import UUID
 from typing import List, Optional
 from datetime import datetime, timedelta
@@ -473,4 +474,53 @@ def move_meal_item(
 
     db.commit()
     db.refresh(item)
-    return {"message": "Meal moved", "item": item}
+    return {"message": "Meal moved", "item": item}
+
+
+# ── Dashboard badge: newly discovered recipes ─────────────────────────
+
+
+@router.get("/dashboard/discovered-count")
+def discovered_count(db: Session = Depends(get_db)):
+    """Return number of recipes discovered in the last 7 days for the current family."""
+    profile = db.query(FamilyProfile).first()
+    if not profile:
+        raise HTTPException(status_code=404, detail="Family profile not found")
+
+    since = datetime.utcnow() - timedelta(days=7)
+    count = (
+        db.query(Recipe)
+        .filter(
+            Recipe.family_profile_id == profile.id,
+            Recipe.external_source.isnot(None),
+            Recipe.created_at >= since,
+        )
+        .count()
+    )
+    return {"discovered_count": count}
+
+
+@router.get("/dashboard/discovery-insights")
+def discovery_insights(db: Session = Depends(get_db)):
+    """Return latest feedback analysis and top signals."""
+    profile = db.query(FamilyProfile).first()
+    if not profile:
+        raise HTTPException(status_code=404, detail="Family profile not found")
+
+    latest_run = (
+        db.query(WeeklyRun)
+        .filter(WeeklyRun.family_id == profile.id)
+        .order_by(WeeklyRun.week_start_date.desc())
+        .first()
+    )
+    if not latest_run or not latest_run.feedback_analysis:
+        return {"has_analysis": False}
+
+    analysis = latest_run.feedback_analysis
+    return {
+        "has_analysis": True,
+        "confidence": analysis.get("confidence", 0),
+        "positive_signals": analysis.get("positive_signals", []),
+        "negative_signals": analysis.get("negative_signals", []),
+        "top_rated_recipes": analysis.get("top_rated_recipes", []),
+    }