Spaces:
Running
Running
File size: 10,645 Bytes
40fd629 3eb616f 40fd629 3eb616f 40fd629 3eb616f 40fd629 3eb616f 40fd629 3eb616f 40fd629 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 |
#!/usr/bin/env python3
"""
Test script for the unified model card system
Verifies template processing, variable substitution, and conditional sections
"""
import os
import sys
import tempfile
import shutil
from pathlib import Path
# Add the project root to the path
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
from scripts.model_tonic.generate_model_card import ModelCardGenerator
def test_basic_model_card():
"""Test basic model card generation without quantized models"""
print("🧪 Testing basic model card generation...")
# Create test variables
variables = {
"model_name": "Test SmolLM3 Model",
"model_description": "A test fine-tuned SmolLM3 model",
"repo_name": "test-user/test-model",
"base_model": "HuggingFaceTB/SmolLM3-3B",
"dataset_name": "OpenHermes-FR",
"training_config_type": "H100 Lightweight",
"trainer_type": "SFTTrainer",
"batch_size": "8",
"gradient_accumulation_steps": "16",
"learning_rate": "5e-6",
"max_epochs": "3",
"max_seq_length": "2048",
"hardware_info": "GPU (H100)",
"experiment_name": "test-experiment",
"trackio_url": "https://trackio.space/test",
"dataset_repo": "test/trackio-experiments",
"dataset_size": "~80K samples",
"dataset_format": "Chat format",
"author_name": "Test User",
"model_name_slug": "test_smollm3_model",
"quantized_models": False,
"dataset_sample_size": "800000",
"training_loss": "2.1",
"validation_loss": "2.3",
"perplexity": "9.8"
}
try:
# Create generator
generator = ModelCardGenerator()
# Generate model card
content = generator.generate_model_card(variables)
# Check that content was generated
assert content is not None
assert len(content) > 0
# Check that basic sections are present
assert "Test SmolLM3 Model" in content
assert "test-user/test-model" in content
assert "HuggingFaceTB/SmolLM3-3B" in content
# Check that quantized sections are NOT present
assert "Quantized Models" not in content
assert "int8" not in content
assert "int4" not in content
# Check that metadata fields are present
assert "library_name: transformers" in content
assert "pipeline_tag: text-generation" in content
assert "base_model: HuggingFaceTB/SmolLM3-3B" in content
assert "datasets:" in content
assert "model-index:" in content
print("✅ Basic model card generation test passed")
return True
except Exception as e:
print(f"❌ Basic model card generation test failed: {e}")
return False
def test_quantized_model_card():
"""Test model card generation with quantized models"""
print("🧪 Testing quantized model card generation...")
# Create test variables with quantized models
variables = {
"model_name": "Test SmolLM3 Model with Quantization",
"model_description": "A test fine-tuned SmolLM3 model with quantized versions",
"repo_name": "test-user/test-model",
"base_model": "HuggingFaceTB/SmolLM3-3B",
"dataset_name": "OpenHermes-FR",
"training_config_type": "H100 Lightweight",
"trainer_type": "SFTTrainer",
"batch_size": "8",
"gradient_accumulation_steps": "16",
"learning_rate": "5e-6",
"max_epochs": "3",
"max_seq_length": "2048",
"hardware_info": "GPU (H100)",
"experiment_name": "test-experiment",
"trackio_url": "https://trackio.space/test",
"dataset_repo": "test/trackio-experiments",
"dataset_size": "~80K samples",
"dataset_format": "Chat format",
"author_name": "Test User",
"model_name_slug": "test_smollm3_model",
"quantized_models": True,
"dataset_sample_size": "800000",
"training_loss": "2.1",
"validation_loss": "2.3",
"perplexity": "9.8"
}
try:
# Create generator
generator = ModelCardGenerator()
# Generate model card
content = generator.generate_model_card(variables)
# Check that content was generated
assert content is not None
assert len(content) > 0
# Check that basic sections are present
assert "Test SmolLM3 Model with Quantization" in content
assert "test-user/test-model" in content
# Check that quantized sections ARE present
assert "Quantized Models" in content
assert "int8" in content
assert "int4" in content
assert "test-user/test-model/int8" in content
assert "test-user/test-model/int4" in content
# Check that metadata fields are present
assert "library_name: transformers" in content
assert "pipeline_tag: text-generation" in content
assert "base_model: HuggingFaceTB/SmolLM3-3B" in content
assert "datasets:" in content
assert "model-index:" in content
assert "quantization_types:" in content
print("✅ Quantized model card generation test passed")
return True
except Exception as e:
print(f"❌ Quantized model card generation test failed: {e}")
return False
def test_template_processing():
"""Test template processing and variable substitution"""
print("🧪 Testing template processing...")
try:
# Create generator
generator = ModelCardGenerator()
# Test variable substitution
test_variables = {
"model_name": "Test Model",
"repo_name": "test/repo",
"quantized_models": True
}
# Generate content
content = generator.generate_model_card(test_variables)
# Check variable substitution
assert "Test Model" in content
assert "test/repo" in content
# Check conditional processing
assert "Quantized Models" in content
print("✅ Template processing test passed")
return True
except Exception as e:
print(f"❌ Template processing test failed: {e}")
return False
def test_file_saving():
"""Test saving generated model cards to files"""
print("🧪 Testing file saving...")
try:
# Create temporary directory
with tempfile.TemporaryDirectory() as temp_dir:
output_path = os.path.join(temp_dir, "test_readme.md")
# Create generator
generator = ModelCardGenerator()
# Test variables
variables = {
"model_name": "Test Model",
"model_description": "Test description",
"repo_name": "test/repo",
"base_model": "HuggingFaceTB/SmolLM3-3B",
"dataset_name": "Test Dataset",
"training_config_type": "Test Config",
"trainer_type": "SFTTrainer",
"batch_size": "8",
"gradient_accumulation_steps": "16",
"learning_rate": "5e-6",
"max_epochs": "3",
"max_seq_length": "2048",
"hardware_info": "GPU",
"experiment_name": "test-exp",
"trackio_url": "https://trackio.space/test",
"dataset_repo": "test/dataset",
"dataset_size": "1K samples",
"dataset_format": "Chat format",
"author_name": "Test User",
"model_name_slug": "test_model",
"quantized_models": False,
"dataset_sample_size": None,
"training_loss": "N/A",
"validation_loss": "N/A",
"perplexity": "N/A"
}
# Generate and save
content = generator.generate_model_card(variables)
success = generator.save_model_card(content, output_path)
# Check that file was created
assert success
assert os.path.exists(output_path)
# Check file content
with open(output_path, 'r', encoding='utf-8') as f:
saved_content = f.read()
assert "Test Model" in saved_content
assert "test/repo" in saved_content
print("✅ File saving test passed")
return True
except Exception as e:
print(f"❌ File saving test failed: {e}")
return False
def test_error_handling():
"""Test error handling for missing template and invalid variables"""
print("🧪 Testing error handling...")
try:
# Test with non-existent template
try:
generator = ModelCardGenerator("non_existent_template.md")
content = generator.generate_model_card({})
assert False, "Should have raised FileNotFoundError"
except FileNotFoundError:
print("✅ Correctly handled missing template")
# Test with minimal variables
generator = ModelCardGenerator()
content = generator.generate_model_card({})
# Should still generate some content
assert content is not None
assert len(content) > 0
print("✅ Error handling test passed")
return True
except Exception as e:
print(f"❌ Error handling test failed: {e}")
return False
def main():
"""Run all tests"""
print("🚀 Starting unified model card system tests...")
print("=" * 50)
tests = [
test_basic_model_card,
test_quantized_model_card,
test_template_processing,
test_file_saving,
test_error_handling
]
passed = 0
total = len(tests)
for test in tests:
try:
if test():
passed += 1
except Exception as e:
print(f"❌ Test {test.__name__} failed with exception: {e}")
print("=" * 50)
print(f"📊 Test Results: {passed}/{total} tests passed")
if passed == total:
print("🎉 All tests passed! Unified model card system is working correctly.")
return 0
else:
print("⚠️ Some tests failed. Please check the implementation.")
return 1
if __name__ == "__main__":
exit(main()) |