feat(routines): add actives and recent usage tracking to product context

backend/innercontext/api/routines.py

@@ -268,7 +268,11 @@ def _build_recent_history(session: Session) -> str:
     return "\n".join(lines) + "\n"
 
 
-def _build_products_context(session: Session, time_filter: Optional[str] = None) -> str:
+def _build_products_context(
+    session: Session,
+    time_filter: Optional[str] = None,
+    reference_date: Optional[date] = None,
+) -> str:
     stmt = select(Product).where(col(Product.is_tool).is_(False))
     products = session.exec(stmt).all()
     product_ids = [p.id for p in products]
@@ -285,6 +289,19 @@ def _build_products_context(session: Session, time_filter: Optional[str] = None)
     for inv in inventory_rows:
         inv_by_product.setdefault(inv.product_id, []).append(inv)
 
+    recent_usage_counts: dict[UUID, int] = {}
+    if reference_date is not None:
+        cutoff = reference_date - timedelta(days=7)
+        recent_usage = session.exec(
+            select(RoutineStep.product_id)
+            .join(Routine)
+            .where(col(Routine.routine_date) > cutoff)
+            .where(col(Routine.routine_date) <= reference_date)
+        ).all()
+        for pid in recent_usage:
+            if pid:
+                recent_usage_counts[pid] = recent_usage_counts.get(pid, 0) + 1
+
     lines = ["DOSTĘPNE PRODUKTY:"]
     for p in products:
         if p.is_medication and not _is_minoxidil_product(p):
@@ -298,6 +315,9 @@ def _build_products_context(session: Session, time_filter: Optional[str] = None)
             f" category={ctx.get('category', '')} recommended_time={ctx.get('recommended_time', '')}"
             f" targets={ctx.get('targets', [])}"
         )
+        if "actives" in ctx:
+            entry += f" actives={ctx['actives']}"
+
         active_inventory = [inv for inv in p.inventory if inv.finished_at is None]
         open_inventory = [inv for inv in active_inventory if inv.is_opened]
         sealed_inventory = [inv for inv in active_inventory if not inv.is_opened]
@@ -335,6 +355,8 @@ def _build_products_context(session: Session, time_filter: Optional[str] = None)
             entry += f" min_interval_hours={ctx['min_interval_hours']}"
         if ctx.get("max_frequency_per_week"):
             entry += f" max_frequency_per_week={ctx['max_frequency_per_week']}"
+            usage_count = recent_usage_counts.get(p.id, 0)
+            entry += f" used_in_last_7_days={usage_count}"
         lines.append(entry)
     return "\n".join(lines) + "\n"
 
@@ -476,7 +498,9 @@ def suggest_routine(
     grooming_ctx = _build_grooming_context(session, weekdays=[weekday])
     history_ctx = _build_recent_history(session)
     day_ctx = _build_day_context(data.leaving_home)
-    products_ctx = _build_products_context(session, time_filter=data.part_of_day.value)
+    products_ctx = _build_products_context(
+        session, time_filter=data.part_of_day.value, reference_date=data.routine_date
+    )
     objectives_ctx = _build_objectives_context(data.include_minoxidil_beard)
 
     notes_line = f"\nKONTEKST OD UŻYTKOWNIKA: {data.notes}\n" if data.notes else ""
@@ -545,7 +569,7 @@ def suggest_batch(
     skin_ctx = _build_skin_context(session)
     grooming_ctx = _build_grooming_context(session, weekdays=weekdays)
     history_ctx = _build_recent_history(session)
-    products_ctx = _build_products_context(session)
+    products_ctx = _build_products_context(session, reference_date=data.from_date)
     objectives_ctx = _build_objectives_context(data.include_minoxidil_beard)
 
     date_range_lines = []