From 1dd713db4a16a4ad5dd3f13968bca2f221e819ea Mon Sep 17 00:00:00 2001
From: Richard Dern <gitea.local.richard@dern.ovh>
Date: Tue, 2 Dec 2025 14:30:29 +0100
Subject: [PATCH] =?UTF-8?q?Limite=20la=20timeline=20minifigs/set=20=C3=A0?=
 =?UTF-8?q?=202025?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
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---
 lib/rebrickable/minifig_parts_correlation.py |  5 +++++
 tests/test_minifig_parts_correlation.py      | 12 ++++++++----
 2 files changed, 13 insertions(+), 4 deletions(-)

diff --git a/lib/rebrickable/minifig_parts_correlation.py b/lib/rebrickable/minifig_parts_correlation.py
index 4410d43..f4f2590 100644
--- a/lib/rebrickable/minifig_parts_correlation.py
+++ b/lib/rebrickable/minifig_parts_correlation.py
@@ -87,11 +87,14 @@ def build_minifigs_per_year(
     inventory_minifigs_path: Path,
 ) -> List[dict]:
     """Calcule le nombre moyen de minifigs par set et par année (filtré vs catalogue)."""
+    max_year = 2025
     filtered_totals: Dict[int, Dict[str, int]] = {}
     with filtered_counts_path.open() as csv_file:
         reader = csv.DictReader(csv_file)
         for row in reader:
             year = int(row["year"])
+            if year > max_year:
+                continue
             current = filtered_totals.get(year)
             if current is None:
                 filtered_totals[year] = {"minifigs": int(row["minifig_count"]), "sets": 1}
@@ -104,6 +107,8 @@ def build_minifigs_per_year(
         reader = csv.DictReader(csv_file)
         for row in reader:
             year = int(row["year"])
+            if year > max_year:
+                continue
             current = catalog_totals.get(year)
             if current is None:
                 catalog_totals[year] = {"minifigs": global_minifigs.get(row["set_num"], 0), "sets": 1}
diff --git a/tests/test_minifig_parts_correlation.py b/tests/test_minifig_parts_correlation.py
index e0e0581..28b5586 100644
--- a/tests/test_minifig_parts_correlation.py
+++ b/tests/test_minifig_parts_correlation.py
@@ -78,7 +78,8 @@ def test_build_minifigs_per_year_computes_averages(tmp_path: Path) -> None:
         "set_num,set_id,name,year,minifig_count\n"
         "123-1,123,Set A,2020,2\n"
         "124-1,124,Set B,2020,1\n"
-        "125-1,125,Set C,2021,3\n",
+        "125-1,125,Set C,2021,3\n"
+        "126-1,126,Set D,2026,4\n",
     )
     all_sets_path = tmp_path / "sets.csv"
     write_csv(
@@ -87,7 +88,8 @@ def test_build_minifigs_per_year_computes_averages(tmp_path: Path) -> None:
         "123-1,Set A,2020,1,300\n"
         "124-1,Set B,2020,1,150\n"
         "125-1,Set C,2021,1,100\n"
-        "200-1,Set D,2020,1,50\n",
+        "200-1,Set D,2020,1,50\n"
+        "126-1,Set D,2026,1,80\n",
     )
     inventories_path = tmp_path / "inventories.csv"
     write_csv(
@@ -96,7 +98,8 @@ def test_build_minifigs_per_year_computes_averages(tmp_path: Path) -> None:
         "10,1,123-1\n"
         "20,1,124-1\n"
         "30,1,125-1\n"
-        "40,1,200-1\n",
+        "40,1,200-1\n"
+        "50,1,126-1\n",
     )
     inventory_minifigs_path = tmp_path / "inventory_minifigs.csv"
     write_csv(
@@ -105,7 +108,8 @@ def test_build_minifigs_per_year_computes_averages(tmp_path: Path) -> None:
         "10,fig-a,2\n"
         "20,fig-b,1\n"
         "30,fig-c,3\n"
-        "40,fig-d,4\n",
+        "40,fig-d,4\n"
+        "50,fig-e,5\n",
     )
 
     rows = build_minifigs_per_year(