Fake-News-Detection-with-MLOps / docker_validation.py
Ahmedik95316's picture
Update docker_validation.py
2e222e5
#!/usr/bin/env python3
"""
Docker build validation script
Validates that the system is properly set up during container build
"""
import sys
import os
# Add app directory to Python path
sys.path.append('/app')
def main():
"""Main validation function"""
print("πŸ” Starting Docker build validation...")
try:
# Test path manager import
from path_config import path_manager
print(f"βœ… Path manager imported successfully")
# Display environment information
print(f"🌍 Container environment: {path_manager.environment}")
print(f"πŸ“ Base directory: {path_manager.base_paths['base']}")
print(f"πŸ“Š Data directory: {path_manager.base_paths['data']}")
print(f"πŸ€– Model directory: {path_manager.base_paths['model']}")
print(f"πŸ“ Logs directory: {path_manager.base_paths['logs']}")
# Check critical files
print("\nπŸ” Checking critical files...")
critical_files = [
(path_manager.get_combined_dataset_path(), "Combined Dataset"),
(path_manager.get_model_file_path(), "Model File"),
(path_manager.get_vectorizer_path(), "Vectorizer File"),
(path_manager.get_metadata_path(), "Metadata File")
]
files_found = 0
for file_path, description in critical_files:
if file_path.exists():
print(f"βœ… {description}: {file_path}")
files_found += 1
else:
print(f"❌ {description}: {file_path}")
# Test critical imports
print("\n🐍 Testing Python imports...")
imports_to_test = [
('pandas', 'Data processing'),
('sklearn', 'Machine learning'),
('streamlit', 'Web interface'),
('fastapi', 'API framework'),
('numpy', 'Numerical computing'),
('requests', 'HTTP client')
]
import_success = 0
for module_name, description in imports_to_test:
try:
__import__(module_name)
print(f"βœ… {description} ({module_name})")
import_success += 1
except ImportError as e:
print(f"❌ {description} ({module_name}): {e}")
# Summary
print(f"\nπŸ“Š Validation Summary:")
print(f" Files found: {files_found}/{len(critical_files)}")
print(f" Imports successful: {import_success}/{len(imports_to_test)}")
# Determine overall status
if files_found >= 3 and import_success == len(imports_to_test):
print("πŸŽ‰ Docker build validation PASSED")
return 0
elif files_found >= 2 and import_success >= len(imports_to_test) - 1:
print("⚠️ Docker build validation PASSED with warnings")
return 0
else:
print("❌ Docker build validation FAILED")
return 1
except Exception as e:
print(f"❌ Docker build validation ERROR: {e}")
import traceback
print(f"Traceback: {traceback.format_exc()}")
return 1
if __name__ == "__main__":
sys.exit(main())