Exclusion des pièces imprimées dans la recherche de rareté

lib/rebrickable/part_rarity.py

@@ -46,6 +46,7 @@ def aggregate_filtered_parts(
     parts_catalog: Dict[str, dict],
     ignored_categories: Set[str] = IGNORED_PART_CATEGORY_IDS,
     ignored_minifig_categories: Set[str] = MINIFIG_PART_CATEGORY_IDS,
+    exclude_printed: bool = False,
 ) -> Dict[str, dict]:
     """Agrège les quantités par pièce pour les sets filtrés (rechanges incluses)."""
     aggregated: Dict[str, dict] = {}
@@ -57,6 +58,8 @@ def aggregate_filtered_parts(
             continue
         if part["part_cat_id"] in ignored_minifig_categories:
             continue
+        if exclude_printed and "print" in part["name"].lower():
+            continue
         entry = aggregated.get(row["part_num"])
         if entry is None:
             entry = {"quantity": 0, "set_numbers": set()}
@@ -73,6 +76,7 @@ def compute_other_set_usage(
     filtered_set_numbers: Set[str],
     ignored_categories: Set[str] = IGNORED_PART_CATEGORY_IDS,
     ignored_minifig_categories: Set[str] = MINIFIG_PART_CATEGORY_IDS,
+    exclude_printed: bool = False,
 ) -> Dict[str, int]:
     """Compte les occurrences des pièces dans le reste du catalogue (rechanges incluses)."""
     inventories = select_latest_inventories(inventories_path)
@@ -87,6 +91,8 @@ def compute_other_set_usage(
                 continue
             if part["part_cat_id"] in ignored_minifig_categories:
                 continue
+            if exclude_printed and "print" in part["name"].lower():
+                continue
             totals[row["part_num"]] = totals.get(row["part_num"], 0) + int(row["quantity"])
     return totals
 
@@ -98,6 +104,7 @@ def build_part_rarity(
     parts_catalog_path: Path,
     part_categories_path: Path,
     filtered_sets_path: Path,
+    exclude_printed: bool = False,
 ) -> List[dict]:
     """Construit le classement de rareté des pièces filtrées."""
     parts_catalog = load_parts_catalog(parts_catalog_path)
@@ -105,12 +112,13 @@ def build_part_rarity(
     filtered_sets = load_filtered_sets(filtered_sets_path)
     filtered_set_numbers = set(filtered_sets.keys())
     filtered_rows = read_rows(parts_filtered_path)
-    filtered_usage = aggregate_filtered_parts(filtered_rows, parts_catalog)
+    filtered_usage = aggregate_filtered_parts(filtered_rows, parts_catalog, exclude_printed=exclude_printed)
     other_usage = compute_other_set_usage(
         inventories_path,
         inventory_parts_path,
         parts_catalog,
         filtered_set_numbers,
+        exclude_printed=exclude_printed,
     )
     rows: List[dict] = []
     for part_num, entry in filtered_usage.items():