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

backend/app/models/__init__.py

@@ -181,6 +181,9 @@ class Recipe(Base):
     source_url = Column(Text)
     scraped_at = Column(DateTime(timezone=True))
     is_manually_added = Column(Boolean, default=False)
+    external_source = Column(String(50))
+    external_id = Column(String(100))
+    discovery_reason = Column(Text)
     created_at = Column(DateTime(timezone=True), server_default=func.now())
     updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())
 
@@ -429,6 +432,7 @@ class WeeklyRun(Base):
     reminded_at = Column(DateTime(timezone=True))
     deadline_passed_at = Column(DateTime(timezone=True))
     finalized_at = Column(DateTime(timezone=True))
+    feedback_analysis = Column(JSONB, nullable=True)
     used_stale_data = Column(Boolean, nullable=False, default=False)
     error_step = Column(String(50))
     error_message = Column(Text)