"""Tests du calcul de rareté des pièces."""

import csv
from pathlib import Path

from lib.rebrickable.part_rarity import build_part_rarity, select_until_reused, write_part_rarity


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


def test_build_part_rarity_counts_spares_and_ignores_categories(tmp_path: Path) -> None:
    """Comptabilise les pièces (rechanges incluses) et ignore les catégories animales."""
    parts_filtered = tmp_path / "parts_filtered.csv"
    write_csv(
        parts_filtered,
        [
            "part_num",
            "color_rgb",
            "is_translucent",
            "set_num",
            "set_id",
            "year",
            "quantity_in_set",
            "is_spare",
            "is_minifig_part",
        ],
        [
            ["p1", "AAAAAA", "false", "1000-1", "1000", "2020", "2", "false", "false"],
            ["p1", "AAAAAA", "false", "2000-1", "2000", "2021", "1", "true", "false"],
            ["p2", "BBBBBB", "false", "1000-1", "1000", "2020", "5", "false", "false"],
            ["p4", "CCCCCC", "false", "2000-1", "2000", "2021", "2", "false", "false"],
            ["p6", "DDDDDD", "false", "2000-1", "2000", "2021", "1", "false", "false"],
        ],
    )
    sets_enriched = tmp_path / "sets_enriched.csv"
    write_csv(
        sets_enriched,
        ["set_num", "name", "year", "theme_id", "num_parts", "img_url", "set_id", "rebrickable_url", "in_collection"],
        [
            ["1000-1", "Set A", "2020", "1", "10", "http://example.com", "1000", "http://example.com", "false"],
            ["2000-1", "Set B", "2021", "1", "10", "http://example.com", "2000", "http://example.com", "false"],
        ],
    )
    parts_catalog = tmp_path / "parts.csv"
    write_csv(
        parts_catalog,
        ["part_num", "name", "part_cat_id", "part_material"],
        [
            ["p1", "Brick 1x1", "1", "Plastic"],
            ["p2", "Baby Dino", "28", "Plastic"],
            ["p3", "Raptor Body", "75", "Plastic"],
            ["p4", "Figure Limb", "41", "Plastic"],
            ["p5", "Sticker Sheet", "58", "Plastic"],
            ["p6", "Exclusive Tile", "1", "Plastic"],
            ["p7", "Slope 45 print", "1", "Plastic"],
        ],
    )
    part_categories = tmp_path / "part_categories.csv"
    write_csv(
        part_categories,
        ["id", "name"],
        [
            ["1", "Bricks"],
            ["28", "Animals / Creatures"],
            ["41", "Large Buildable Figures"],
            ["75", "Animal / Creature Body Parts"],
            ["58", "Stickers"],
        ],
    )
    inventories = tmp_path / "inventories.csv"
    write_csv(
        inventories,
        ["id", "version", "set_num"],
        [
            ["1", "1", "3000-1"],
            ["2", "2", "3000-1"],
            ["3", "1", "4000-1"],
            ["4", "1", "1000-1"],
            ["5", "1", "5000-1"],
        ],
    )
    inventory_parts = tmp_path / "inventory_parts.csv"
    write_csv(
        inventory_parts,
        ["inventory_id", "part_num", "color_id", "quantity", "is_spare", "img_url"],
        [
            ["1", "p1", "1", "1", "False", ""],
            ["2", "p1", "1", "3", "False", ""],
            ["2", "p2", "1", "2", "False", ""],
            ["3", "p4", "1", "4", "True", ""],
            ["4", "p1", "1", "8", "False", ""],
            ["5", "p5", "1", "9", "False", ""],
            ["5", "p7", "1", "5", "False", ""],
        ],
    )

    rows = build_part_rarity(
        parts_filtered,
        inventories,
        inventory_parts,
        parts_catalog,
        part_categories,
        sets_enriched,
    )

    assert rows == [
        {
            "part_num": "p6",
            "part_name": "Exclusive Tile",
            "part_cat_id": "1",
            "part_category": "Bricks",
            "sample_set_num": "2000-1",
            "sample_set_id": "2000",
            "sample_set_year": "2021",
            "filtered_quantity": "1",
            "filtered_set_count": "1",
            "other_sets_quantity": "0",
            "catalog_total_quantity": "1",
            "filtered_share": "1.0000",
        },
        {
            "part_num": "p1",
            "part_name": "Brick 1x1",
            "part_cat_id": "1",
            "part_category": "Bricks",
            "sample_set_num": "1000-1",
            "sample_set_id": "1000",
            "sample_set_year": "2020",
            "filtered_quantity": "3",
            "filtered_set_count": "2",
            "other_sets_quantity": "3",
            "catalog_total_quantity": "6",
            "filtered_share": "0.5000",
        },
        {
            "part_num": "p4",
            "part_name": "Figure Limb",
            "part_cat_id": "41",
            "part_category": "Large Buildable Figures",
            "sample_set_num": "2000-1",
            "sample_set_id": "2000",
            "sample_set_year": "2021",
            "filtered_quantity": "2",
            "filtered_set_count": "1",
            "other_sets_quantity": "4",
            "catalog_total_quantity": "6",
            "filtered_share": "0.3333",
        },
    ]
    assert select_until_reused(rows) == [rows[0], rows[1]]

    rows_no_print = build_part_rarity(
        parts_filtered,
        inventories,
        inventory_parts,
        parts_catalog,
        part_categories,
        sets_enriched,
        exclude_printed=True,
    )
    assert all(r["part_num"] != "p7" for r in rows_no_print)


def test_write_part_rarity_outputs_csv(tmp_path: Path) -> None:
    """Sérialise le classement de rareté."""
    destination = tmp_path / "part_rarity.csv"
    rows = [
        {
            "part_num": "p1",
            "part_name": "Brick 1x1",
            "part_cat_id": "1",
            "part_category": "Bricks",
            "sample_set_num": "123-1",
            "sample_set_id": "123",
            "sample_set_year": "2020",
            "filtered_quantity": "3",
            "filtered_set_count": "2",
            "other_sets_quantity": "3",
            "catalog_total_quantity": "6",
            "filtered_share": "0.5000",
        }
    ]

    write_part_rarity(destination, rows)

    assert destination.exists()
    content = destination.read_text().strip().splitlines()
    assert content[0] == (
        "part_num,part_name,part_cat_id,part_category,sample_set_num,sample_set_id,sample_set_year,filtered_quantity,filtered_set_count,"
        "other_sets_quantity,catalog_total_quantity,filtered_share"
    )
    assert content[1] == "p1,Brick 1x1,1,Bricks,123-1,123,2020,3,2,3,6,0.5000"