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#!/usr/bin/env python3
"""
Enterprise-grade test runner for FRED ML
Consolidates all testing functionality into a single, comprehensive test suite
"""
import sys
import os
import subprocess
import argparse
import time
import json
from pathlib import Path
from typing import Dict, List, Optional, Tuple
# Add project root to path
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), '..')))
class TestRunner:
"""Enterprise-grade test runner for FRED ML"""
def __init__(self):
self.project_root = Path(__file__).parent.parent
self.test_results = {}
self.start_time = time.time()
def run_command(self, command: List[str], capture_output: bool = True) -> Tuple[int, str, str]:
"""Run a command and return results"""
try:
result = subprocess.run(
command,
capture_output=capture_output,
text=True,
cwd=self.project_root
)
return result.returncode, result.stdout, result.stderr
except Exception as e:
return 1, "", str(e)
def run_unit_tests(self) -> Dict:
"""Run unit tests"""
print("π§ͺ Running Unit Tests...")
print("=" * 50)
start_time = time.time()
returncode, stdout, stderr = self.run_command([
"python", "-m", "pytest", "tests/unit/", "-v", "--tb=short"
])
end_time = time.time()
result = {
"success": returncode == 0,
"returncode": returncode,
"stdout": stdout,
"stderr": stderr,
"duration": end_time - start_time
}
if result["success"]:
print("β
Unit tests passed")
else:
print("β Unit tests failed")
if stderr:
print(f"Error: {stderr}")
return result
def run_integration_tests(self) -> Dict:
"""Run integration tests"""
print("\nπ Running Integration Tests...")
print("=" * 50)
start_time = time.time()
returncode, stdout, stderr = self.run_command([
"python", "-m", "pytest", "tests/integration/", "-v", "--tb=short"
])
end_time = time.time()
result = {
"success": returncode == 0,
"returncode": returncode,
"stdout": stdout,
"stderr": stderr,
"duration": end_time - start_time
}
if result["success"]:
print("β
Integration tests passed")
else:
print("β Integration tests failed")
if stderr:
print(f"Error: {stderr}")
return result
def run_e2e_tests(self) -> Dict:
"""Run end-to-end tests"""
print("\nπ Running End-to-End Tests...")
print("=" * 50)
start_time = time.time()
returncode, stdout, stderr = self.run_command([
"python", "-m", "pytest", "tests/e2e/", "-v", "--tb=short"
])
end_time = time.time()
result = {
"success": returncode == 0,
"returncode": returncode,
"stdout": stdout,
"stderr": stderr,
"duration": end_time - start_time
}
if result["success"]:
print("β
End-to-end tests passed")
else:
print("β End-to-end tests failed")
if stderr:
print(f"Error: {stderr}")
return result
def run_import_tests(self) -> Dict:
"""Test module imports"""
print("\nπ¦ Testing Module Imports...")
print("=" * 50)
start_time = time.time()
# Test core imports
import_tests = [
("src.core.enhanced_fred_client", "EnhancedFREDClient"),
("src.analysis.comprehensive_analytics", "ComprehensiveAnalytics"),
("src.analysis.economic_forecasting", "EconomicForecaster"),
("src.analysis.economic_segmentation", "EconomicSegmentation"),
("src.analysis.statistical_modeling", "StatisticalModeling"),
("src.analysis.mathematical_fixes", "MathematicalFixes"),
]
failed_imports = []
successful_imports = []
for module, class_name in import_tests:
try:
module_obj = __import__(module, fromlist=[class_name])
class_obj = getattr(module_obj, class_name)
successful_imports.append(f"{module}.{class_name}")
print(f"β
{module}.{class_name}")
except ImportError as e:
failed_imports.append(f"{module}.{class_name} ({str(e)})")
print(f"β {module}.{class_name} - {e}")
except Exception as e:
failed_imports.append(f"{module}.{class_name} ({str(e)})")
print(f"β {module}.{class_name} - {e}")
end_time = time.time()
result = {
"success": len(failed_imports) == 0,
"successful_imports": successful_imports,
"failed_imports": failed_imports,
"duration": end_time - start_time
}
if result["success"]:
print("β
All imports successful")
else:
print(f"β {len(failed_imports)} imports failed")
return result
def run_code_quality_tests(self) -> Dict:
"""Run code quality checks"""
print("\nπ Running Code Quality Checks...")
print("=" * 50)
start_time = time.time()
# Check for common issues
issues = []
# Check for debug statements
debug_files = []
for root, dirs, files in os.walk(self.project_root):
if "tests" in root or ".git" in root or "__pycache__" in root:
continue
for file in files:
if file.endswith('.py'):
file_path = os.path.join(root, file)
try:
with open(file_path, 'r') as f:
content = f.read()
if 'print(' in content and 'DEBUG:' in content:
debug_files.append(file_path)
except Exception:
pass
if debug_files:
issues.append(f"Debug statements found in {len(debug_files)} files")
# Check for TODO comments
todo_files = []
for root, dirs, files in os.walk(self.project_root):
if "tests" in root or ".git" in root or "__pycache__" in root:
continue
for file in files:
if file.endswith('.py'):
file_path = os.path.join(root, file)
try:
with open(file_path, 'r') as f:
content = f.read()
if 'TODO:' in content or 'FIXME:' in content:
todo_files.append(file_path)
except Exception:
pass
if todo_files:
issues.append(f"TODO/FIXME comments found in {len(todo_files)} files")
end_time = time.time()
result = {
"success": len(issues) == 0,
"issues": issues,
"debug_files": debug_files,
"todo_files": todo_files,
"duration": end_time - start_time
}
if result["success"]:
print("β
Code quality checks passed")
else:
print("β οΈ Code quality issues found:")
for issue in issues:
print(f" - {issue}")
return result
def run_performance_tests(self) -> Dict:
"""Run performance tests"""
print("\nβ‘ Running Performance Tests...")
print("=" * 50)
start_time = time.time()
# Basic performance tests
import time
import pandas as pd
import numpy as np
performance_results = {}
# Test data processing performance
data_start = time.time()
large_data = pd.DataFrame({
'GDPC1': np.random.normal(22000, 1000, 1000),
'INDPRO': np.random.normal(100, 5, 1000),
'CPIAUCSL': np.random.normal(250, 10, 1000)
})
data_end = time.time()
performance_results['data_creation'] = data_end - data_start
# Test computation performance
comp_start = time.time()
large_data.describe()
large_data.corr()
comp_end = time.time()
performance_results['computation'] = comp_end - comp_start
end_time = time.time()
result = {
"success": performance_results['computation'] < 5.0, # Should complete within 5 seconds
"performance_results": performance_results,
"duration": end_time - start_time
}
if result["success"]:
print("β
Performance tests passed")
print(f" - Data creation: {performance_results['data_creation']:.3f}s")
print(f" - Computation: {performance_results['computation']:.3f}s")
else:
print("β Performance tests failed - computation too slow")
return result
def generate_report(self) -> Dict:
"""Generate comprehensive test report"""
total_duration = time.time() - self.start_time
report = {
"timestamp": time.strftime("%Y-%m-%d %H:%M:%S"),
"total_duration": total_duration,
"results": self.test_results,
"summary": {
"total_tests": len(self.test_results),
"passed_tests": sum(1 for r in self.test_results.values() if r.get("success", False)),
"failed_tests": sum(1 for r in self.test_results.values() if not r.get("success", True))
}
}
return report
def print_summary(self, report: Dict):
"""Print test summary"""
print("\n" + "=" * 60)
print("π TEST SUMMARY")
print("=" * 60)
summary = report["summary"]
print(f"Total Tests: {summary['total_tests']}")
print(f"Passed: {summary['passed_tests']}")
print(f"Failed: {summary['failed_tests']}")
print(f"Success Rate: {(summary['passed_tests'] / summary['total_tests'] * 100):.1f}%")
print(f"Total Duration: {report['total_duration']:.2f}s")
print("\nπ Detailed Results:")
for test_name, result in report["results"].items():
status = "β
PASS" if result.get("success", False) else "β FAIL"
duration = f"{result.get('duration', 0):.2f}s"
print(f" {test_name}: {status} ({duration})")
if summary['failed_tests'] == 0:
print("\nπ All tests passed! The system is ready for production.")
else:
print(f"\nβ οΈ {summary['failed_tests']} test(s) failed. Please review the results above.")
def save_report(self, report: Dict, filename: str = "test_report.json"):
"""Save test report to file"""
report_path = self.project_root / filename
try:
with open(report_path, 'w') as f:
json.dump(report, f, indent=2, default=str)
print(f"\nπ Test report saved to: {report_path}")
except Exception as e:
print(f"\nβ Failed to save test report: {e}")
def run_all_tests(self, save_report: bool = True) -> Dict:
"""Run all tests and generate report"""
print("π FRED ML - Enterprise Test Suite")
print("=" * 60)
# Run all test categories
self.test_results["unit_tests"] = self.run_unit_tests()
self.test_results["integration_tests"] = self.run_integration_tests()
self.test_results["e2e_tests"] = self.run_e2e_tests()
self.test_results["import_tests"] = self.run_import_tests()
self.test_results["code_quality"] = self.run_code_quality_tests()
self.test_results["performance_tests"] = self.run_performance_tests()
# Generate and display report
report = self.generate_report()
self.print_summary(report)
if save_report:
self.save_report(report)
return report
def main():
"""Main entry point"""
parser = argparse.ArgumentParser(description="FRED ML Test Runner")
parser.add_argument("--no-report", action="store_true", help="Don't save test report")
parser.add_argument("--unit-only", action="store_true", help="Run only unit tests")
parser.add_argument("--integration-only", action="store_true", help="Run only integration tests")
parser.add_argument("--e2e-only", action="store_true", help="Run only end-to-end tests")
args = parser.parse_args()
runner = TestRunner()
if args.unit_only:
runner.test_results["unit_tests"] = runner.run_unit_tests()
elif args.integration_only:
runner.test_results["integration_tests"] = runner.run_integration_tests()
elif args.e2e_only:
runner.test_results["e2e_tests"] = runner.run_e2e_tests()
else:
runner.run_all_tests(save_report=not args.no_report)
# Exit with appropriate code
total_failed = sum(1 for r in runner.test_results.values() if not r.get("success", True))
sys.exit(1 if total_failed > 0 else 0)
if __name__ == "__main__":
main() |