Collage des pièces imprimées exclusives et variante sans impressions
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@ -6,7 +6,7 @@ from typing import List
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import matplotlib.pyplot as plt
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from matplotlib.offsetbox import AnnotationBbox, OffsetImage
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from PIL import Image
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from PIL import Image, ImageDraw, ImageFont
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from lib.filesystem import ensure_parent_dir
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@ -21,6 +21,22 @@ def load_part_rarity(path: Path) -> List[dict]:
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return rows
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def select_printed_exclusive(rows: List[dict], resources_dir: Path) -> List[dict]:
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"""Filtre les pièces imprimées exclusives aux sets filtrés disposant d'une image locale."""
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filtered: List[dict] = []
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for row in rows:
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if row.get("other_sets_quantity", "0") != "0":
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continue
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if "print" not in row["part_name"].lower():
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continue
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image_path = resources_dir / row.get("sample_set_id", "") / "rare_parts" / f"{row['part_num']}.jpg"
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if not image_path.exists():
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continue
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filtered.append(row)
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filtered.sort(key=lambda r: (r["part_name"], r["part_num"]))
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return filtered
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def format_label(row: dict) -> str:
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"""Formate l’étiquette de l’axe vertical."""
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return f"{row['part_num']} — {row['part_name']}"
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@ -84,3 +100,56 @@ def plot_part_rarity(
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ensure_parent_dir(destination_path)
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fig.savefig(destination_path, dpi=150)
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plt.close(fig)
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def plot_printed_exclusive_parts(
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path: Path,
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destination_path: Path,
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resources_dir: Path = Path("figures/rebrickable"),
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columns: int = 5,
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) -> None:
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"""Assemble les images des pièces imprimées exclusives aux sets filtrés."""
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rows = load_part_rarity(path)
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selected = select_printed_exclusive(rows, resources_dir)
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selected.sort(key=lambda r: (int(r.get("sample_set_year", "9999") or 9999), r["sample_set_num"], r["part_num"]))
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if not selected:
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return
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images: List[Image.Image] = []
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labels: List[str] = []
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for row in selected:
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image_path = resources_dir / row["sample_set_id"] / "rare_parts" / f"{row['part_num']}.jpg"
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img = Image.open(image_path).convert("RGBA")
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max_side = 180
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ratio = min(max_side / img.width, max_side / img.height, 1.0)
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if ratio < 1.0:
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img = img.resize((int(img.width * ratio), int(img.height * ratio)))
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images.append(img)
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labels.append(f"{row.get('sample_set_year', '')} • {row['sample_set_num']}")
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columns = max(1, columns)
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rows_count = (len(images) + columns - 1) // columns
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cell_width = 220
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font = ImageFont.load_default()
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draw_temp = ImageDraw.Draw(Image.new("RGB", (10, 10)))
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def measure(text: str) -> tuple[int, int]:
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bbox = draw_temp.textbbox((0, 0), text, font=font)
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return bbox[2] - bbox[0], bbox[3] - bbox[1]
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text_height = max(measure(label)[1] for label in labels)
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cell_height = 190 + text_height + 14
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width = columns * cell_width
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height = rows_count * cell_height
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canvas = Image.new("RGBA", (width, height), (255, 255, 255, 255))
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draw = ImageDraw.Draw(canvas)
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for index, (img, label) in enumerate(zip(images, labels)):
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col = index % columns
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row_idx = index // columns
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x = col * cell_width + (cell_width - img.width) // 2
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y = row_idx * cell_height + 8
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canvas.paste(img, (x, y), img)
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text_width, _ = measure(label)
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text_x = col * cell_width + (cell_width - text_width) // 2
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text_y = y + img.height + 6
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draw.text((text_x, text_y), label, fill="#111111", font=font)
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ensure_parent_dir(destination_path)
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canvas.convert("RGB").save(destination_path, "PNG")
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@ -126,7 +126,8 @@ def build_part_rarity(
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other_quantity = other_usage.get(part_num, 0)
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total_quantity = entry["quantity"] + other_quantity
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sample_set_num = sorted(entry["set_numbers"])[0]
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sample_set_id = filtered_sets[sample_set_num]["set_id"]
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sample_set_row = filtered_sets[sample_set_num]
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sample_set_id = sample_set_row["set_id"]
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rows.append(
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{
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"part_num": part_num,
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@ -135,6 +136,7 @@ def build_part_rarity(
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"part_category": categories[part["part_cat_id"]],
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"sample_set_num": sample_set_num,
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"sample_set_id": sample_set_id,
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"sample_set_year": sample_set_row["year"],
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"filtered_quantity": str(entry["quantity"]),
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"filtered_set_count": str(len(entry["set_numbers"])),
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"other_sets_quantity": str(other_quantity),
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@ -156,6 +158,7 @@ def write_part_rarity(destination_path: Path, rows: Sequence[dict]) -> None:
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"part_category",
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"sample_set_num",
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"sample_set_id",
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"sample_set_year",
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"filtered_quantity",
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"filtered_set_count",
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"other_sets_quantity",
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@ -2,7 +2,7 @@
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from pathlib import Path
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from lib.plots.part_rarity import plot_part_rarity
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from lib.plots.part_rarity import plot_part_rarity, plot_printed_exclusive_parts
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PART_RARITY_TOP_PATH = Path("data/intermediate/part_rarity_exclusive.csv")
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@ -10,12 +10,15 @@ DESTINATION_PATH = Path("figures/step34/part_rarity.png")
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RESOURCES_DIR = Path("figures/rebrickable")
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PART_RARITY_NO_PRINT_PATH = Path("data/intermediate/part_rarity_exclusive_no_print.csv")
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DESTINATION_NO_PRINT = Path("figures/step34/part_rarity_no_print.png")
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PART_RARITY_FULL_PATH = Path("data/intermediate/part_rarity.csv")
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DESTINATION_PRINTED_COLLAGE = Path("figures/step34/printed_exclusive_parts.png")
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def main() -> None:
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"""Charge le top des pièces rares et produit le graphique illustré."""
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plot_part_rarity(PART_RARITY_TOP_PATH, DESTINATION_PATH, resources_dir=RESOURCES_DIR)
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plot_part_rarity(PART_RARITY_NO_PRINT_PATH, DESTINATION_NO_PRINT, resources_dir=RESOURCES_DIR)
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plot_printed_exclusive_parts(PART_RARITY_FULL_PATH, DESTINATION_PRINTED_COLLAGE, resources_dir=RESOURCES_DIR)
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if __name__ == "__main__":
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@ -117,6 +117,7 @@ def test_build_part_rarity_counts_spares_and_ignores_categories(tmp_path: Path)
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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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"sample_set_year": "2021",
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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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@ -130,6 +131,7 @@ def test_build_part_rarity_counts_spares_and_ignores_categories(tmp_path: Path)
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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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"sample_set_year": "2020",
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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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@ -143,6 +145,7 @@ def test_build_part_rarity_counts_spares_and_ignores_categories(tmp_path: Path)
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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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"sample_set_year": "2021",
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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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@ -175,6 +178,7 @@ def test_write_part_rarity_outputs_csv(tmp_path: Path) -> None:
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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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"sample_set_year": "2020",
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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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@ -188,7 +192,7 @@ def test_write_part_rarity_outputs_csv(tmp_path: Path) -> None:
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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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"part_num,part_name,part_cat_id,part_category,sample_set_num,sample_set_id,sample_set_year,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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assert content[1] == "p1,Brick 1x1,1,Bricks,123-1,123,2020,3,2,3,6,0.5000"
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33
tests/test_part_rarity_printed_collage.py
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33
tests/test_part_rarity_printed_collage.py
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@ -0,0 +1,33 @@
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"""Tests du collage des pièces imprimées exclusives."""
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import matplotlib
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from pathlib import Path
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from PIL import Image
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from lib.plots.part_rarity import plot_printed_exclusive_parts
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matplotlib.use("Agg")
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def test_plot_printed_exclusive_parts(tmp_path: Path) -> None:
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"""Génère un collage des pièces imprimées exclusives avec images locales."""
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data_path = tmp_path / "part_rarity.csv"
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resources_dir = tmp_path / "figures" / "rebrickable"
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resources_dir.mkdir(parents=True)
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(resources_dir / "1000" / "rare_parts").mkdir(parents=True)
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(resources_dir / "2000" / "rare_parts").mkdir(parents=True)
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Image.new("RGB", (60, 40), color=(255, 0, 0)).save(resources_dir / "1000" / "rare_parts" / "p1.jpg")
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Image.new("RGB", (60, 40), color=(0, 255, 0)).save(resources_dir / "2000" / "rare_parts" / "p2.jpg")
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data_path.write_text(
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"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\n"
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"p1,Slope print,1,Bricks,1000-1,1000,2020,3,2,0,3,1.0000\n"
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"p2,Tile print,1,Bricks,2000-1,2000,2021,2,1,0,2,1.0000\n"
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"p3,Tile plain,1,Bricks,2000-1,2000,2021,2,1,0,2,1.0000\n"
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)
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destination = tmp_path / "figures" / "step34" / "printed_exclusive_parts.png"
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plot_printed_exclusive_parts(data_path, destination, resources_dir=resources_dir, columns=2)
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assert destination.exists()
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assert destination.stat().st_size > 0
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