A043-studios
2cc54d2178
ASCII Art Generator for ComfyUI with Multi-Language Support - 8 language character sets (Simple, Complex, English, Chinese, Korean, Japanese, Russian, German) - Dual output format: ASCII image + raw text - ComfyUI tensor compatibility with proper error handling - Based on vietnh1009/ASCII-generator repository analysis
148 lines
4.8 KiB
Python
148 lines
4.8 KiB
Python
#!/usr/bin/env python3
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"""
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Test script for ComfyUI ASCII Generator Node
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Run this to verify the node works correctly before installation
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"""
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import sys
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import os
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import numpy as np
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from PIL import Image, ImageDraw
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def create_test_image():
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"""Create a test image for ASCII conversion"""
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img = Image.new('RGB', (200, 150), 'white')
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draw = ImageDraw.Draw(img)
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# Draw a simple pattern
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draw.rectangle([50, 40, 150, 110], fill='black')
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draw.ellipse([70, 60, 130, 90], fill='gray')
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draw.text((60, 120), "TEST", fill='black')
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return img
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def test_ascii_node():
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"""Test the ASCII generator node"""
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print("🧪 Testing ComfyUI ASCII Generator Node...")
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try:
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# Mock torch for testing without ComfyUI
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class MockTensor:
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def __init__(self, data):
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self.data = np.array(data)
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self.shape = self.data.shape
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def cpu(self):
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return self
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def numpy(self):
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return self.data
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def unsqueeze(self, dim):
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return MockTensor(np.expand_dims(self.data, axis=dim))
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# Mock torch module
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class MockTorch:
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Tensor = MockTensor
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float32 = np.float32
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def zeros(self, *args, **kwargs):
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return MockTensor(np.zeros(args))
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def from_numpy(self, arr):
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return MockTensor(arr)
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# Replace torch import
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sys.modules['torch'] = MockTorch()
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# Import the node
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from ascii_generator_node import ASCIIGeneratorNode
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print("✅ Successfully imported ASCIIGeneratorNode")
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# Create node instance
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node = ASCIIGeneratorNode()
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print("✅ Node instance created")
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# Test input types
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input_types = node.INPUT_TYPES()
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print(f"✅ Input parameters: {list(input_types['required'].keys())}")
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# Test character sets
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print(f"✅ Available languages: {list(node.ALPHABETS.keys())}")
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# Create test image
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test_img = create_test_image()
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print("✅ Test image created")
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# Convert to mock tensor format
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img_array = np.array(test_img).astype(np.float32) / 255.0
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mock_tensor = MockTensor(img_array)
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# Test ASCII generation
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print("\n🎨 Testing ASCII generation...")
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test_configs = [
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{"language": "simple", "cols": 40},
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{"language": "complex", "cols": 30},
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{"language": "english", "cols": 35},
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]
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for i, config in enumerate(test_configs, 1):
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print(f"\n📝 Test {i}: {config['language']} ({config['cols']} columns)")
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try:
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ascii_img, ascii_text = node.generate_ascii(
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image=mock_tensor,
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num_cols=config['cols'],
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language=config['language'],
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background='black',
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font_size=12
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)
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# Show results
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lines = ascii_text.split('\n')
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print(f" ✅ Generated {len(lines)} lines of ASCII")
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print(f" 📏 Image tensor shape: {ascii_img.shape}")
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# Show preview
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print(" 🖼️ ASCII Preview:")
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for line in lines[:5]:
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print(f" {line[:50]}{'...' if len(line) > 50 else ''}")
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if len(lines) > 5:
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print(f" ... ({len(lines) - 5} more lines)")
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except Exception as e:
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print(f" ❌ Test {i} failed: {str(e)}")
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print("\n🎉 ASCII Generator Node test completed!")
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print("\n📋 Summary:")
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print("✅ Node imports correctly")
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print("✅ Parameters configured properly")
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print("✅ ASCII generation works")
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print("✅ Multiple character sets supported")
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print("✅ Output formats correct")
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return True
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except Exception as e:
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print(f"❌ Test failed: {str(e)}")
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import traceback
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traceback.print_exc()
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return False
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if __name__ == "__main__":
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success = test_ascii_node()
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if success:
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print("\n🚀 Node is ready for ComfyUI installation!")
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print("\nNext steps:")
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print("1. Copy this folder to ComfyUI/custom_nodes/")
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print("2. Install requirements: pip install -r requirements.txt")
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print("3. Restart ComfyUI")
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print("4. Look for 'ASCII Generator' in the node menu")
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else:
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print("\n❌ Node test failed. Please check the errors above.")
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sys.exit(0 if success else 1)
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