"""Tests de l'agrégation globale des têtes de minifigs."""

import csv
from pathlib import Path

from lib.rebrickable.global_minifig_heads import (
    aggregate_global_heads_by_year,
    write_global_heads_by_year,
)


def write_csv(path: Path, headers: list[str], rows: list[list[str]]) -> None:
    """Écrit un CSV simple pour les besoins des tests."""
    with path.open("w", newline="") as csv_file:
        writer = csv.writer(csv_file)
        writer.writerow(headers)
        writer.writerows(rows)


def test_aggregate_global_heads_by_year(tmp_path: Path) -> None:
    """Construit un agrégat global par année."""
    inventories = tmp_path / "inventories.csv"
    inventory_parts = tmp_path / "inventory_parts.csv"
    parts = tmp_path / "parts.csv"
    colors = tmp_path / "colors.csv"
    sets = tmp_path / "sets.csv"
    destination = tmp_path / "global_heads.csv"
    write_csv(
        inventories,
        ["id", "version", "set_num"],
        [
            ["1", "1", "1000-1"],
            ["2", "2", "1000-1"],
            ["3", "1", "2000-1"],
        ],
    )
    write_csv(
        inventory_parts,
        ["inventory_id", "part_num", "color_id", "quantity", "is_spare", "img_url"],
        [
            ["2", "3626b", "1", "2", "False", ""],
            ["3", "3626b", "2", "1", "False", ""],
            ["3", "3001", "1", "10", "False", ""],
        ],
    )
    write_csv(
        parts,
        ["part_num", "name", "part_cat_id", "part_material"],
        [
            ["3626b", "Minifig Head", "59", "Plastic"],
            ["3001", "Brick 2 x 4", "11", "Plastic"],
        ],
    )
    write_csv(
        colors,
        ["id", "name", "rgb", "is_trans", "num_parts", "num_sets", "y1", "y2"],
        [
            ["1", "Yellow", "FFFF00", "False", "0", "0", "0", "0"],
            ["2", "Light Flesh", "FFE1BD", "False", "0", "0", "0", "0"],
        ],
    )
    write_csv(
        sets,
        ["set_num", "name", "year", "theme_id", "num_parts", "img_url"],
        [
            ["1000-1", "Set A", "2020", "1", "0", ""],
            ["2000-1", "Set B", "2021", "1", "0", ""],
        ],
    )

    rows = aggregate_global_heads_by_year(inventories, inventory_parts, parts, colors, sets)
    write_global_heads_by_year(destination, rows)

    with destination.open() as csv_file:
        written = list(csv.DictReader(csv_file))

    assert written == [
        {
            "year": "2020",
            "color_rgb": "FFFF00",
            "is_translucent": "false",
            "color_name": "Yellow",
            "quantity": "2",
        },
        {
            "year": "2021",
            "color_rgb": "FFE1BD",
            "is_translucent": "false",
            "color_name": "Light Flesh",
            "quantity": "1",
        },
    ]