Verify save token chips and preview counter

tests/test_dumas_image_nodes.py

@@ -2,6 +2,7 @@ import importlib
 import os
 import sys
 import tempfile
+import time
 import types
 import unittest
 from unittest import mock
@@ -151,6 +152,58 @@ class DumasImageNodeTests(unittest.TestCase):
         saved_name = os.path.basename(FakePILImage.saved_paths[0][0])
         self.assertEqual(saved_name, "shot_alpha_beta_final_001.png")
 
+    def test_save_image_resolves_date_size_and_batch_tokens(self):
+        node = self.image_nodes.DumasSaveImageNode()
+        image = FakeTensorBatch(width=10, height=12, count=2)
+        fake_now = time.struct_time((2026, 8, 5, 13, 7, 9, 2, 217, -1))
+
+        with mock.patch.object(self.image_nodes.time, "localtime", return_value=fake_now):
+            node.save_images(
+                images=image,
+                folder=self.temp_dir,
+                pattern="asset_%date:yyyy-MM-dd%_%date:hh-mm-ss%_%width%x%height%_%batch_num%_%counter%",
+                format="png",
+                quality=100,
+                embed_workflow=False,
+                save_on_run=True,
+            )
+
+        saved_names = [os.path.basename(path) for path, _args, _kwargs in FakePILImage.saved_paths]
+        self.assertEqual(
+            saved_names,
+            [
+                "asset_2026-08-05_13-07-09_10x12_0_001.png",
+                "asset_2026-08-05_13-07-09_10x12_1_001.png",
+            ],
+        )
+
+    def test_save_image_counter_increments_for_existing_files(self):
+        node = self.image_nodes.DumasSaveImageNode()
+        image = FakeTensorBatch()
+
+        node.save_images(
+            images=image,
+            folder=self.temp_dir,
+            pattern="counter_%counter%",
+            format="png",
+            quality=100,
+            embed_workflow=False,
+            save_on_run=True,
+        )
+        open(FakePILImage.saved_paths[0][0], "a", encoding="utf-8").close()
+        node.save_images(
+            images=image,
+            folder=self.temp_dir,
+            pattern="counter_%counter%",
+            format="png",
+            quality=100,
+            embed_workflow=False,
+            save_on_run=True,
+        )
+
+        saved_names = [os.path.basename(path) for path, _args, _kwargs in FakePILImage.saved_paths]
+        self.assertEqual(saved_names, ["counter_001.png", "counter_002.png"])
+
     def test_save_image_returns_ui_entries_for_output_folder(self):
         node = self.image_nodes.DumasSaveImageNode()
         image = FakeTensorBatch()