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