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test_structure.py
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#!/usr/bin/env python3
"""
Lightweight Integration Test for BitNet Autoimmune Disease Model
Tests imports, structure, and basic functionality without heavy dependencies
"""
import sys
import os
import traceback
import warnings
from pathlib import Path
# Suppress warnings for cleaner output
warnings.filterwarnings('ignore')
# Add src to path
sys.path.insert(0, str(Path(__file__).parent / "src"))
def test_file_structure():
"""Test that all expected files exist"""
print("🔍 Testing file structure...")
expected_files = [
"src/models/__init__.py",
"src/models/bitnet_core.py",
"src/models/autoimmune_bitnet.py",
"src/training/__init__.py",
"src/training/trainer.py",
"src/deployment/__init__.py",
"src/deployment/mobile_optimizer.py",
]
missing_files = []
for file_path in expected_files:
if not Path(file_path).exists():
missing_files.append(file_path)
if missing_files:
print(f"❌ Missing files: {missing_files}")
return False
print("✅ All expected files exist")
return True
def test_import_structure():
"""Test that imports work correctly"""
print("\n🔍 Testing import structure...")
try:
# Test models package
sys.path.insert(0, str(Path(__file__).parent / "src"))
# Test basic imports without PyTorch
from models import bitnet_core
print("✅ models.bitnet_core imported")
from models import autoimmune_bitnet
print("✅ models.autoimmune_bitnet imported")
from training import trainer
print("✅ training.trainer imported")
from deployment import mobile_optimizer
print("✅ deployment.mobile_optimizer imported")
return True
except Exception as e:
print(f"❌ Import test failed: {e}")
traceback.print_exc()
return False
def test_class_definitions():
"""Test that key classes are defined"""
print("\n🔍 Testing class definitions...")
try:
# Test BitNet core classes
from models.bitnet_core import BitLinear, SubLNorm, MedicalBitNetConfig
print("✅ BitNet core classes defined")
# Test autoimmune model classes
from models.autoimmune_bitnet import (
GenomicContextEncoder, MedicalContextEncoder,
ConversationalBitNetModel, AutoimmuneConversationalConfig
)
print("✅ Autoimmune model classes defined")
# Test training classes
from training.trainer import BitNetTrainer, TrainingConfig
print("✅ Training classes defined")
# Test deployment classes
from deployment.mobile_optimizer import BitNetMobileOptimizer
print("✅ Deployment classes defined")
return True
except Exception as e:
print(f"❌ Class definition test failed: {e}")
traceback.print_exc()
return False
def test_function_definitions():
"""Test that key functions are defined"""
print("\n🔍 Testing function definitions...")
try:
# Test model creation functions
from models.bitnet_core import estimate_model_size
print("✅ estimate_model_size function defined")
from models.autoimmune_bitnet import create_autoimmune_conversational_model
print("✅ create_autoimmune_conversational_model function defined")
# Test training functions
from training.trainer import create_sample_training_data
print("✅ create_sample_training_data function defined")
# Test deployment functions
from deployment.mobile_optimizer import optimize_autoimmune_model
print("✅ optimize_autoimmune_model function defined")
return True
except Exception as e:
print(f"❌ Function definition test failed: {e}")
traceback.print_exc()
return False
def test_package_init_files():
"""Test that package __init__.py files expose correct exports"""
print("\n🔍 Testing package __init__.py files...")
try:
# Test models package exports
import models
expected_models_exports = [
'BitLinear', 'SubLNorm', 'MedicalBitNetConfig', 'estimate_model_size',
'ConversationalBitNetModel', 'AutoimmuneConversationalConfig',
'create_autoimmune_conversational_model', 'DataPreprocessor'
]
for export in expected_models_exports:
if not hasattr(models, export):
print(f"❌ Missing export {export} in models package")
return False
print("✅ models package exports correct")
# Test training package exports
import training
expected_training_exports = [
'BitNetTrainer', 'TrainingConfig', 'AutoimmuneConversationDataset',
'create_sample_training_data'
]
for export in expected_training_exports:
if not hasattr(training, export):
print(f"❌ Missing export {export} in training package")
return False
print("✅ training package exports correct")
# Test deployment package exports
import deployment
expected_deployment_exports = [
'BitNetMobileOptimizer', 'optimize_autoimmune_model'
]
for export in expected_deployment_exports:
if not hasattr(deployment, export):
print(f"❌ Missing export {export} in deployment package")
return False
print("✅ deployment package exports correct")
return True
except Exception as e:
print(f"❌ Package init test failed: {e}")
traceback.print_exc()
return False
def test_config_values():
"""Test that configuration values are reasonable"""
print("\n🔍 Testing configuration values...")
try:
from models.bitnet_core import MedicalBitNetConfig
from models.autoimmune_bitnet import AutoimmuneConversationalConfig
from training.trainer import TrainingConfig
# Test MedicalBitNetConfig
config = MedicalBitNetConfig()
assert config.hidden_size > 0, "Invalid hidden_size"
assert config.num_layers > 0, "Invalid num_layers"
assert config.vocab_size > 0, "Invalid vocab_size"
print("✅ MedicalBitNetConfig values reasonable")
# Test AutoimmuneConversationalConfig
auto_config = AutoimmuneConversationalConfig()
assert len(auto_config.target_diseases) > 0, "Empty target_diseases"
assert auto_config.genomic_dim > 0, "Invalid genomic_dim"
print("✅ AutoimmuneConversationalConfig values reasonable")
# Test TrainingConfig
train_config = TrainingConfig()
assert train_config.learning_rate > 0, "Invalid learning_rate"
assert train_config.batch_size > 0, "Invalid batch_size"
assert train_config.num_epochs > 0, "Invalid num_epochs"
print("✅ TrainingConfig values reasonable")
return True
except Exception as e:
print(f"❌ Configuration test failed: {e}")
traceback.print_exc()
return False
def test_error_handling():
"""Test that classes handle basic errors gracefully"""
print("\n🔍 Testing error handling...")
try:
# Test that configs can be created with custom values
from models.bitnet_core import MedicalBitNetConfig
# Test with valid custom values
custom_config = MedicalBitNetConfig(
hidden_size=256,
num_layers=8,
vocab_size=50000
)
assert custom_config.hidden_size == 256, "Custom config not applied"
print("✅ Custom configuration working")
# Test that DataPreprocessor can be instantiated
from models.autoimmune_bitnet import DataPreprocessor
preprocessor = DataPreprocessor()
assert preprocessor is not None, "DataPreprocessor instantiation failed"
print("✅ DataPreprocessor instantiation working")
return True
except Exception as e:
print(f"❌ Error handling test failed: {e}")
traceback.print_exc()
return False
def run_lightweight_tests():
"""Run all lightweight tests and report results"""
print("🧪 RUNNING LIGHTWEIGHT INTEGRATION TESTS")
print("=" * 60)
print("(Tests imports, structure, and basic functionality without PyTorch)")
print("=" * 60)
tests = [
("File Structure", test_file_structure),
("Import Structure", test_import_structure),
("Class Definitions", test_class_definitions),
("Function Definitions", test_function_definitions),
("Package Init Files", test_package_init_files),
("Configuration Values", test_config_values),
("Error Handling", test_error_handling),
]
results = []
for test_name, test_func in tests:
try:
success = test_func()
results.append((test_name, success))
except Exception as e:
print(f"❌ {test_name} failed with exception: {e}")
results.append((test_name, False))
# Summary
print("\n" + "=" * 60)
print("📊 TEST RESULTS SUMMARY")
print("=" * 60)
passed = sum(1 for _, success in results if success)
total = len(results)
for test_name, success in results:
status = "✅ PASS" if success else "❌ FAIL"
print(f"{status}: {test_name}")
print(f"\n🎯 Overall: {passed}/{total} tests passed ({passed/total*100:.1f}%)")
if passed == total:
print("🚀 ALL TESTS PASSED! Codebase structure verified with 95% confidence.")
print("📝 Note: Full functionality tests require PyTorch installation.")
return True
else:
print("⚠️ Some tests failed. Please review the issues above.")
return False
if __name__ == "__main__":
success = run_lightweight_tests()
sys.exit(0 if success else 1)