Ajouter l’étape 35 : extraction et collage des autocollants

lib/rebrickable/sticker_parts.py

@@ -0,0 +1,86 @@
+"""Sélection des planches d'autocollants pour les sets filtrés."""
+
+import csv
+from pathlib import Path
+from typing import Dict, Iterable, List, Tuple
+
+from lib.filesystem import ensure_parent_dir
+from lib.rebrickable.stats import read_rows
+
+
+STICKER_CATEGORY_ID = "58"
+
+
+def load_parts_catalog(path: Path) -> Dict[str, dict]:
+    """Indexe les pièces par référence."""
+    catalog: Dict[str, dict] = {}
+    with path.open() as csv_file:
+        reader = csv.DictReader(csv_file)
+        for row in reader:
+            catalog[row["part_num"]] = row
+    return catalog
+
+
+def load_sets(path: Path) -> Dict[str, dict]:
+    """Indexe les sets enrichis par set_num."""
+    lookup: Dict[str, dict] = {}
+    for row in read_rows(path):
+        lookup[row["set_num"]] = row
+    return lookup
+
+
+def aggregate_stickers(
+    rows: Iterable[dict],
+    parts_catalog: Dict[str, dict],
+) -> Dict[Tuple[str, str], int]:
+    """Cumule les quantités d'autocollants par set et référence."""
+    aggregated: Dict[Tuple[str, str], int] = {}
+    for row in rows:
+        if row["is_spare"] == "true":
+            continue
+        part = parts_catalog[row["part_num"]]
+        if part["part_cat_id"] != STICKER_CATEGORY_ID:
+            continue
+        key = (row["set_num"], row["part_num"])
+        aggregated[key] = aggregated.get(key, 0) + int(row["quantity_in_set"])
+    return aggregated
+
+
+def build_sticker_parts(
+    parts_filtered_path: Path,
+    parts_catalog_path: Path,
+    sets_path: Path,
+) -> List[dict]:
+    """Construit la liste des planches d'autocollants par set."""
+    rows = read_rows(parts_filtered_path)
+    parts_catalog = load_parts_catalog(parts_catalog_path)
+    sets_lookup = load_sets(sets_path)
+    aggregated = aggregate_stickers(rows, parts_catalog)
+    stickers: List[dict] = []
+    for (set_num, part_num), quantity in aggregated.items():
+        set_row = sets_lookup[set_num]
+        part = parts_catalog[part_num]
+        stickers.append(
+            {
+                "set_num": set_num,
+                "set_id": set_row["set_id"],
+                "year": set_row["year"],
+                "name": set_row["name"],
+                "part_num": part_num,
+                "part_name": part["name"],
+                "quantity": str(quantity),
+            }
+        )
+    stickers.sort(key=lambda r: (int(r["year"]), r["set_num"], r["part_num"]))
+    return stickers
+
+
+def write_sticker_parts(destination_path: Path, rows: Iterable[dict]) -> None:
+    """Écrit le CSV des autocollants par set."""
+    ensure_parent_dir(destination_path)
+    fieldnames = ["set_num", "set_id", "year", "name", "part_num", "part_name", "quantity"]
+    with destination_path.open("w", newline="") as csv_file:
+        writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
+        writer.writeheader()
+        for row in rows:
+            writer.writerow(row)