182 lines
6.1 KiB
Python
182 lines
6.1 KiB
Python
"""Tests du calcul de rareté des pièces."""
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import csv
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from pathlib import Path
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from lib.rebrickable.part_rarity import build_part_rarity, select_until_reused, write_part_rarity
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def write_csv(path: Path, headers: list[str], rows: list[list[str]]) -> None:
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"""Écrit un CSV utilitaire pour les cas de test."""
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with path.open("w", newline="") as csv_file:
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writer = csv.writer(csv_file)
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writer.writerow(headers)
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writer.writerows(rows)
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def test_build_part_rarity_counts_spares_and_ignores_categories(tmp_path: Path) -> None:
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"""Comptabilise les pièces (rechanges incluses) et ignore les catégories animales."""
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parts_filtered = tmp_path / "parts_filtered.csv"
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write_csv(
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parts_filtered,
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[
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"part_num",
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"color_rgb",
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"is_translucent",
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"set_num",
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"set_id",
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"year",
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"quantity_in_set",
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"is_spare",
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"is_minifig_part",
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],
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[
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["p1", "AAAAAA", "false", "1000-1", "1000", "2020", "2", "false", "false"],
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["p1", "AAAAAA", "false", "2000-1", "2000", "2021", "1", "true", "false"],
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["p2", "BBBBBB", "false", "1000-1", "1000", "2020", "5", "false", "false"],
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["p4", "CCCCCC", "false", "2000-1", "2000", "2021", "2", "false", "false"],
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["p6", "DDDDDD", "false", "2000-1", "2000", "2021", "1", "false", "false"],
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],
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)
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sets_enriched = tmp_path / "sets_enriched.csv"
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write_csv(
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sets_enriched,
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["set_num", "name", "year", "theme_id", "num_parts", "img_url", "set_id", "rebrickable_url", "in_collection"],
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[
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["1000-1", "Set A", "2020", "1", "10", "http://example.com", "1000", "http://example.com", "false"],
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["2000-1", "Set B", "2021", "1", "10", "http://example.com", "2000", "http://example.com", "false"],
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],
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)
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parts_catalog = tmp_path / "parts.csv"
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write_csv(
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parts_catalog,
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["part_num", "name", "part_cat_id", "part_material"],
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[
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["p1", "Brick 1x1", "1", "Plastic"],
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["p2", "Baby Dino", "28", "Plastic"],
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["p3", "Raptor Body", "75", "Plastic"],
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["p4", "Figure Limb", "41", "Plastic"],
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["p5", "Sticker Sheet", "58", "Plastic"],
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["p6", "Exclusive Tile", "1", "Plastic"],
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],
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)
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part_categories = tmp_path / "part_categories.csv"
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write_csv(
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part_categories,
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["id", "name"],
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[
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["1", "Bricks"],
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["28", "Animals / Creatures"],
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["41", "Large Buildable Figures"],
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["75", "Animal / Creature Body Parts"],
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["58", "Stickers"],
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],
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)
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inventories = tmp_path / "inventories.csv"
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write_csv(
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inventories,
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["id", "version", "set_num"],
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[
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["1", "1", "3000-1"],
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["2", "2", "3000-1"],
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["3", "1", "4000-1"],
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["4", "1", "1000-1"],
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["5", "1", "5000-1"],
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],
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)
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inventory_parts = tmp_path / "inventory_parts.csv"
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write_csv(
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inventory_parts,
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["inventory_id", "part_num", "color_id", "quantity", "is_spare", "img_url"],
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[
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["1", "p1", "1", "1", "False", ""],
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["2", "p1", "1", "3", "False", ""],
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["2", "p2", "1", "2", "False", ""],
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["3", "p4", "1", "4", "True", ""],
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["4", "p1", "1", "8", "False", ""],
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["5", "p5", "1", "9", "False", ""],
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],
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)
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rows = build_part_rarity(
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parts_filtered,
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inventories,
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inventory_parts,
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parts_catalog,
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part_categories,
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sets_enriched,
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)
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assert rows == [
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{
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"part_num": "p6",
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"part_name": "Exclusive Tile",
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"part_cat_id": "1",
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"part_category": "Bricks",
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"sample_set_num": "2000-1",
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"sample_set_id": "2000",
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"filtered_quantity": "1",
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"filtered_set_count": "1",
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"other_sets_quantity": "0",
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"catalog_total_quantity": "1",
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"filtered_share": "1.0000",
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},
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{
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"part_num": "p1",
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"part_name": "Brick 1x1",
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"part_cat_id": "1",
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"part_category": "Bricks",
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"sample_set_num": "1000-1",
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"sample_set_id": "1000",
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"filtered_quantity": "3",
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"filtered_set_count": "2",
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"other_sets_quantity": "3",
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"catalog_total_quantity": "6",
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"filtered_share": "0.5000",
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},
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{
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"part_num": "p4",
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"part_name": "Figure Limb",
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"part_cat_id": "41",
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"part_category": "Large Buildable Figures",
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"sample_set_num": "2000-1",
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"sample_set_id": "2000",
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"filtered_quantity": "2",
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"filtered_set_count": "1",
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"other_sets_quantity": "4",
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"catalog_total_quantity": "6",
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"filtered_share": "0.3333",
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},
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]
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assert select_until_reused(rows) == [rows[0], rows[1]]
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def test_write_part_rarity_outputs_csv(tmp_path: Path) -> None:
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"""Sérialise le classement de rareté."""
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destination = tmp_path / "part_rarity.csv"
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rows = [
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{
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"part_num": "p1",
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"part_name": "Brick 1x1",
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"part_cat_id": "1",
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"part_category": "Bricks",
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"sample_set_num": "123-1",
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"sample_set_id": "123",
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"filtered_quantity": "3",
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"filtered_set_count": "2",
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"other_sets_quantity": "3",
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"catalog_total_quantity": "6",
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"filtered_share": "0.5000",
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}
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]
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write_part_rarity(destination, rows)
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assert destination.exists()
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content = destination.read_text().strip().splitlines()
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assert content[0] == (
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"part_num,part_name,part_cat_id,part_category,sample_set_num,sample_set_id,filtered_quantity,filtered_set_count,"
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"other_sets_quantity,catalog_total_quantity,filtered_share"
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)
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assert content[1] == "p1,Brick 1x1,1,Bricks,123-1,123,3,2,3,6,0.5000"
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