Update prompt configuration and enhance Lora management functionality

- Expanded the prompt.json file with new configurations for KSampler, CheckpointLoaderSimple, and various CLIPTextEncode nodes.
- Introduced additional Lora management features, including a new Lora Stacker and improved trigger word handling.
- Enhanced the loras_widget.js to log the generated prompt when saving recipes directly, aiding in debugging and user feedback.
- Improved overall structure and organization of the prompt configurations for better maintainability.

py/workflow_params/test_parser.py

@@ -0,0 +1,80 @@
+#!/usr/bin/env python3
+"""Test script for the workflow parser"""
+
+import os
+import json
+import logging
+from pathlib import Path
+
+from .workflow_parser import WorkflowParser
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, 
+                   format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+def test_parse_example():
+    """Test parsing the example prompt.json file and compare with expected output"""
+    # Get the project root directory
+    project_root = Path(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
+    
+    # Path to the example files
+    prompt_path = project_root / "refs" / "prompt.json"
+    output_path = project_root / "refs" / "output.json"
+    
+    # Ensure the files exist
+    if not prompt_path.exists():
+        logger.error(f"Example prompt file not found: {prompt_path}")
+        return False
+    
+    if not output_path.exists():
+        logger.error(f"Example output file not found: {output_path}")
+        return False
+    
+    # Load the files
+    try:
+        with open(prompt_path, 'r', encoding='utf-8') as f:
+            prompt_json = f.read()
+        
+        with open(output_path, 'r', encoding='utf-8') as f:
+            expected_output = json.load(f)
+    except Exception as e:
+        logger.error(f"Failed to read example files: {e}")
+        return False
+    
+    # Parse the workflow
+    parser = WorkflowParser()
+    result = parser.parse_workflow(prompt_json)
+    
+    # Display the result
+    logger.info("Parsed workflow:")
+    logger.info(json.dumps(result, indent=4))
+    
+    # Compare with expected output
+    logger.info("Expected output:")
+    logger.info(json.dumps(expected_output, indent=4))
+    
+    # Basic validation
+    if "loras" not in result:
+        logger.error("Missing 'loras' field in result")
+        return False
+    
+    if "gen_params" not in result:
+        logger.error("Missing 'gen_params' field in result")
+        return False
+    
+    required_params = [
+        "prompt", "negative_prompt", "steps", "sampler", 
+        "cfg_scale", "seed", "size", "clip_skip"
+    ]
+    
+    for param in required_params:
+        if param not in result["gen_params"]:
+            logger.error(f"Missing '{param}' in gen_params")
+            return False
+    
+    logger.info("Test completed successfully!")
+    return True
+
+if __name__ == "__main__":
+    test_parse_example()