style: additional linter improvements

- Fix remaining line length issues in prompt_splitter_node.py and tests
- Add missing docstring for INPUT_TYPES method
- Fix import order to follow standard (stdlib, third-party, local)
- Fix variable redefinition by using json_module alias
- Add docstrings to test classes
- Improve code readability and maintainability

Linter score: 8.89/10 → 8.98/10 (+0.09)

nodes/lora_visualizer_node.py

@@ -5,8 +5,10 @@ Parses prompts for LoRA tags and displays metadata, thumbnails, and example imag
 
 import os
 import json
-import folder_paths
 from typing import Dict, List, Tuple, Optional
+
+import folder_paths
+
 from .lora_metadata_utils import parse_lora_tags
 
 
@@ -33,6 +35,7 @@ class LoRAVisualizerNode:
 
     @classmethod
     def INPUT_TYPES(cls):
+        """Define the input schema for this ComfyUI node."""
         return {
             "required": {
                 "prompt_text": (
@@ -313,8 +316,8 @@ class LoRAVisualizerNode:
         }
 
         # Convert to readable string format
-        import json
+        import json as json_module
 
-        raw_info_output = json.dumps(raw_metadata, indent=2, ensure_ascii=False)
+        raw_info_output = json_module.dumps(raw_metadata, indent=2, ensure_ascii=False)
 
         return (raw_info_output, prompt_text)

nodes/prompt_splitter_node.py

@@ -139,7 +139,8 @@ Input Prompt: "woman dancing overwatch, ana gracefully she jumps up and down"
                         "(video: twirls gracefully) <wanlora:motion:1.0>",
                         "tooltip": (
                             "Combined prompt to be split into image and video prompts.\n"
-                            "Supports: <lora:name:strength> → image, <wanlora:name:strength> → video\n"
+                            "Supports: <lora:name:strength> → image, "
+                            "<wanlora:name:strength> → video\n"
                             "Verbatim: (image: text) → image, (video: text) → video\n"
                             "AI splits remaining content into static visuals vs motion/actions."
                         ),
@@ -411,7 +412,8 @@ Input Prompt: "woman dancing overwatch, ana gracefully she jumps up and down"
             self._extract_verbatim_directives(prompt_text)
         )
         log(
-            f"Prompt Splitter: Found {len(image_verbatim)} image and {len(video_verbatim)} video verbatim directives"
+            f"Prompt Splitter: Found {len(image_verbatim)} image and "
+            f"{len(video_verbatim)} video verbatim directives"
         )
 
         self._send_progress_update(0.2, "Parsing LoRA tags and trigger words...")
@@ -420,7 +422,8 @@ Input Prompt: "woman dancing overwatch, ana gracefully she jumps up and down"
         log("Prompt Splitter: Parsing LoRA tags...")
         standard_loras, wanloras = self.parse_lora_tags(prompt_text)
         log(
-            f"Prompt Splitter: Found {len(standard_loras)} standard LoRAs and {len(wanloras)} WanLoRAs"
+            f"Prompt Splitter: Found {len(standard_loras)} standard LoRAs and "
+            f"{len(wanloras)} WanLoRAs"
         )
 
         # Extract and remove trigger words for all LoRAs (use prompt without wrappers)

tests/test_lora_parsing.py

@@ -21,6 +21,7 @@ from nodes.lora_visualizer_node import LoRAVisualizerNode
 
 
 class TestLoRAVisualizerNode(unittest.TestCase):
+    """Test LoRA parsing functionality in the visualizer node."""
 
     def setUp(self):
         """Set up test fixtures before each test method."""
@@ -236,6 +237,7 @@ class TestLoRAVisualizerNode(unittest.TestCase):
 
 
 class TestVisualizeLoras(unittest.TestCase):
+    """Test the visualize_loras method integration."""
 
     def setUp(self):
         """Set up test fixtures before each test method."""

tests/test_prompt_splitter.py

@@ -267,7 +267,10 @@ class TestPromptSplitterNode(unittest.TestCase):
 
     def test_split_prompt_with_trigger_words(self):
         """split_prompt should handle trigger words correctly."""
-        input_prompt = "beautiful woman <lora:style:0.8> dancing with motion-blur <wanlora:motion:1.0>"
+        input_prompt = (
+            "beautiful woman <lora:style:0.8> dancing with motion-blur "
+            "<wanlora:motion:1.0>"
+        )
 
         # Mock metadata for LoRAs
         mock_image_metadata = {"civitai": {"trainedWords": ["beautiful"]}}