refactor: remove routine_role, recommended_frequency, evidence_level, cumulative_with

Drop fields identified as redundant or low-value from the Product model,
API schemas, frontend types, and forms. Raise effect_profile threshold in
to_llm_context() from >0 to >=2 to suppress noise values. Remove sku/barcode
from LLM context output (kept on model for catalog use).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/tests/conftest.py

@@ -53,7 +53,6 @@ def product_data():
         "name": "CeraVe Moisturising Cream",
         "brand": "CeraVe",
         "category": "moisturizer",
-        "routine_role": "seal",
         "recommended_time": "both",
         "leave_on": True,
     }

backend/tests/test_product_model.py

@@ -9,7 +9,6 @@ from innercontext.models.enums import (
     IngredientFunction,
     InteractionScope,
     ProductCategory,
-    RoutineRole,
 )
 from innercontext.models.product import (
     ActiveIngredient,
@@ -25,7 +24,6 @@ def _make(**kwargs):
         name="Test",
         brand="B",
         category=ProductCategory.MOISTURIZER,
-        routine_role=RoutineRole.SEAL,
         recommended_time=DayTime.BOTH,
         leave_on=True,
     )
@@ -41,7 +39,7 @@ def _make(**kwargs):
 def test_always_present_keys():
     p = _make()
     ctx = p.to_llm_context()
-    for key in ("id", "name", "brand", "category", "routine_role", "recommended_time", "leave_on"):
+    for key in ("id", "name", "brand", "category", "recommended_time", "leave_on"):
         assert key in ctx, f"Expected '{key}' in to_llm_context() output"
 
 
@@ -53,17 +51,17 @@ def test_always_present_keys():
 def test_optional_string_fields_absent_when_none():
     p = _make()
     ctx = p.to_llm_context()
-    for key in ("line_name", "sku", "url", "barcode"):
+    for key in ("line_name", "url"):
         assert key not in ctx, f"'{key}' should not appear when None"
 
 
 def test_optional_string_fields_present_when_set():
-    p = _make(line_name="Hydrating", sku="CV-001", url="https://example.com", barcode="123456")
+    p = _make(line_name="Hydrating", url="https://example.com")
     ctx = p.to_llm_context()
     assert ctx["line_name"] == "Hydrating"
-    assert ctx["sku"] == "CV-001"
     assert ctx["url"] == "https://example.com"
-    assert ctx["barcode"] == "123456"
+    assert "sku" not in ctx
+    assert "barcode" not in ctx
 
 
 # ---------------------------------------------------------------------------

backend/tests/test_products.py

@@ -52,7 +52,6 @@ def test_list_filter_category(client, client_and_data=None):
     # Create a moisturizer and a serum
     base = {
         "brand": "B",
-        "routine_role": "seal",
         "recommended_time": "both",
         "leave_on": True,
     }
@@ -72,7 +71,6 @@ def test_list_filter_category(client, client_and_data=None):
 
 def test_list_filter_brand(client):
     base = {
-        "routine_role": "seal",
         "recommended_time": "both",
         "leave_on": True,
         "category": "serum",
@@ -90,7 +88,6 @@ def test_list_filter_brand(client):
 def test_list_filter_is_medication(client):
     base = {
         "brand": "B",
-        "routine_role": "seal",
         "recommended_time": "both",
         "leave_on": True,
         "category": "serum",
@@ -113,7 +110,6 @@ def test_list_filter_is_medication(client):
 def test_list_filter_targets(client):
     base = {
         "brand": "B",
-        "routine_role": "seal",
         "recommended_time": "both",
         "leave_on": True,
         "category": "serum",