"""Unit tests for data_layer.reference_values (summary assembly, no DB)."""

from datetime import date
from decimal import Decimal

from data_layer.reference_values import _entry_dict_from_ranked_row, build_summary_tiles_from_ranked_rows


def test_build_summary_tiles_single_type_two_rows():
    raw = [
        {
            "type_key": "hr_max",
            "type_label": "HF max",
            "type_sort_order": 1,
            "value_data_type": "decimal",
            "rn": 1,
            "id": 2,
            "effective_date": "2026-04-01",
            "value_numeric": 180.0,
            "value_text": None,
            "unit": "bpm",
        },
        {
            "type_key": "hr_max",
            "type_label": "HF max",
            "type_sort_order": 1,
            "value_data_type": "decimal",
            "rn": 2,
            "id": 1,
            "effective_date": "2026-03-01",
            "value_numeric": 175.0,
            "value_text": None,
            "unit": "bpm",
        },
    ]
    tiles = build_summary_tiles_from_ranked_rows(raw)
    assert len(tiles) == 1
    t = tiles[0]
    assert t["type_key"] == "hr_max"
    assert t["latest"]["value_numeric"] == 180.0
    assert t["previous"]["value_numeric"] == 175.0
    assert "sort_key" not in t


def test_build_summary_tiles_multi_type_order():
    raw = [
        {"type_key": "b", "type_label": "B", "type_sort_order": 2, "value_data_type": "decimal", "rn": 1, "id": 1},
        {"type_key": "a", "type_label": "A", "type_sort_order": 1, "value_data_type": "decimal", "rn": 1, "id": 2},
    ]
    tiles = build_summary_tiles_from_ranked_rows(raw)
    assert [x["type_key"] for x in tiles] == ["a", "b"]


def test_entry_dict_from_ranked_row_normalizes_decimal():
    row = {
        "id": 1,
        "profile_id": "p",
        "reference_value_type_id": 9,
        "effective_date": date(2026, 4, 1),
        "value_numeric": Decimal("42.5"),
        "value_text": None,
        "unit": "bpm",
        "source": "lab",
        "confidence": "high",
        "method": "spiro",
        "notes": None,
        "extra": None,
        "created_at": date(2026, 4, 2),
        "updated_at": date(2026, 4, 2),
        "type_key": "hr_max",
        "type_label": "HF max",
    }
    out = _entry_dict_from_ranked_row(row)
    assert out["value_numeric"] == 42.5
    assert out["effective_date"] == "2026-04-01"