Ajoute les agrégats et visualisations globales des couleurs de têtes

tests/test_global_minifig_heads.py

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+"""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",
+        },
+    ]