Collage des pièces imprimées exclusives et variante sans impressions

lib/plots/part_rarity.py

@@ -6,7 +6,7 @@ from typing import List
 
 import matplotlib.pyplot as plt
 from matplotlib.offsetbox import AnnotationBbox, OffsetImage
-from PIL import Image
+from PIL import Image, ImageDraw, ImageFont
 
 from lib.filesystem import ensure_parent_dir
 
@@ -21,6 +21,22 @@ def load_part_rarity(path: Path) -> List[dict]:
     return rows
 
 
+def select_printed_exclusive(rows: List[dict], resources_dir: Path) -> List[dict]:
+    """Filtre les pièces imprimées exclusives aux sets filtrés disposant d'une image locale."""
+    filtered: List[dict] = []
+    for row in rows:
+        if row.get("other_sets_quantity", "0") != "0":
+            continue
+        if "print" not in row["part_name"].lower():
+            continue
+        image_path = resources_dir / row.get("sample_set_id", "") / "rare_parts" / f"{row['part_num']}.jpg"
+        if not image_path.exists():
+            continue
+        filtered.append(row)
+    filtered.sort(key=lambda r: (r["part_name"], r["part_num"]))
+    return filtered
+
+
 def format_label(row: dict) -> str:
     """Formate l’étiquette de l’axe vertical."""
     return f"{row['part_num']} — {row['part_name']}"
@@ -84,3 +100,56 @@ def plot_part_rarity(
     ensure_parent_dir(destination_path)
     fig.savefig(destination_path, dpi=150)
     plt.close(fig)
+
+
+def plot_printed_exclusive_parts(
+    path: Path,
+    destination_path: Path,
+    resources_dir: Path = Path("figures/rebrickable"),
+    columns: int = 5,
+) -> None:
+    """Assemble les images des pièces imprimées exclusives aux sets filtrés."""
+    rows = load_part_rarity(path)
+    selected = select_printed_exclusive(rows, resources_dir)
+    selected.sort(key=lambda r: (int(r.get("sample_set_year", "9999") or 9999), r["sample_set_num"], r["part_num"]))
+    if not selected:
+        return
+    images: List[Image.Image] = []
+    labels: List[str] = []
+    for row in selected:
+        image_path = resources_dir / row["sample_set_id"] / "rare_parts" / f"{row['part_num']}.jpg"
+        img = Image.open(image_path).convert("RGBA")
+        max_side = 180
+        ratio = min(max_side / img.width, max_side / img.height, 1.0)
+        if ratio < 1.0:
+            img = img.resize((int(img.width * ratio), int(img.height * ratio)))
+        images.append(img)
+        labels.append(f"{row.get('sample_set_year', '')} • {row['sample_set_num']}")
+
+    columns = max(1, columns)
+    rows_count = (len(images) + columns - 1) // columns
+    cell_width = 220
+    font = ImageFont.load_default()
+    draw_temp = ImageDraw.Draw(Image.new("RGB", (10, 10)))
+    def measure(text: str) -> tuple[int, int]:
+        bbox = draw_temp.textbbox((0, 0), text, font=font)
+        return bbox[2] - bbox[0], bbox[3] - bbox[1]
+    text_height = max(measure(label)[1] for label in labels)
+    cell_height = 190 + text_height + 14
+    width = columns * cell_width
+    height = rows_count * cell_height
+    canvas = Image.new("RGBA", (width, height), (255, 255, 255, 255))
+    draw = ImageDraw.Draw(canvas)
+    for index, (img, label) in enumerate(zip(images, labels)):
+        col = index % columns
+        row_idx = index // columns
+        x = col * cell_width + (cell_width - img.width) // 2
+        y = row_idx * cell_height + 8
+        canvas.paste(img, (x, y), img)
+        text_width, _ = measure(label)
+        text_x = col * cell_width + (cell_width - text_width) // 2
+        text_y = y + img.height + 6
+        draw.text((text_x, text_y), label, fill="#111111", font=font)
+
+    ensure_parent_dir(destination_path)
+    canvas.convert("RGB").save(destination_path, "PNG")