test(api): add tests for ai suggestion endpoints and helpers

backend/tests/test_products_helpers.py

@@ -0,0 +1,93 @@
+import uuid
+from datetime import date
+from unittest.mock import patch
+
+from sqlmodel import Session
+
+from innercontext.api.products import _build_shopping_context
+from innercontext.models import Product, SkinConditionSnapshot, ProductInventory
+
+def test_build_shopping_context(session: Session):
+    # Empty context
+    ctx = _build_shopping_context(session)
+    assert "(brak danych)" in ctx
+    assert "POSIADANE PRODUKTY" in ctx
+
+    # Add snapshot
+    snap = SkinConditionSnapshot(
+        id=uuid.uuid4(),
+        snapshot_date=date.today(),
+        overall_state="fair",
+        skin_type="combination",
+        hydration_level=3,
+        sensitivity_level=4,
+        barrier_state="mildly_compromised",
+        active_concerns=["redness"],
+        priorities=["soothing"]
+    )
+    session.add(snap)
+
+    # Add product
+    p = Product(
+        id=uuid.uuid4(),
+        name="Soothing Serum",
+        brand="BrandX",
+        category="serum",
+        recommended_time="both",
+        leave_on=True,
+        targets=["redness"],
+        product_effect_profile={"soothing_strength": 4, "hydration_immediate": 1},
+        actives=[{"name": "Centella"}]
+    )
+    session.add(p)
+    session.commit()
+
+    # Add inventory
+    inv = ProductInventory(id=uuid.uuid4(), product_id=p.id, is_opened=True)
+    session.add(inv)
+    session.commit()
+
+    ctx = _build_shopping_context(session)
+    assert "Typ skóry: combination" in ctx
+    assert "Nawilżenie: 3/5" in ctx
+    assert "Wrażliwość: 4/5" in ctx
+    assert "Aktywne problemy: redness" in ctx
+    assert "Priorytety: soothing" in ctx
+    
+    # Check product
+    assert "[✓] Soothing Serum" in ctx
+    assert "BrandX" in ctx
+    assert "targets: ['redness']" in ctx
+    assert "actives: ['Centella']" in ctx
+    assert "effects: {'soothing': 4}" in ctx
+
+
+def test_suggest_shopping(client, session):
+    with patch("innercontext.api.products.call_gemini") as mock_gemini:
+        mock_response = type("Response", (), {"text": '{"suggestions": [{"category": "cleanser", "product_type": "cleanser", "priority": "high", "key_ingredients": [], "target_concerns": [], "why_needed": "reason", "recommended_time": "am", "frequency": "daily"}], "reasoning": "Test shopping"}'})
+        mock_gemini.return_value = mock_response
+
+        r = client.post("/products/suggest")
+        assert r.status_code == 200
+        data = r.json()
+        assert len(data["suggestions"]) == 1
+        assert data["suggestions"][0]["product_type"] == "cleanser"
+        assert data["reasoning"] == "Test shopping"
+
+def test_shopping_context_medication_skip(session: Session):
+    p = Product(
+        id=uuid.uuid4(),
+        name="Epiduo",
+        brand="Galderma",
+        category="serum",
+        recommended_time="pm",
+        leave_on=True,
+        is_medication=True,
+        product_effect_profile={}
+    )
+    session.add(p)
+    session.commit()
+    
+    ctx = _build_shopping_context(session)
+    assert "Epiduo" not in ctx
+