import unittest import time import concurrent.futures import os import sys # Add project root to path sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))) # Mocking the processing function to simulate delay def mock_process_phase(phase_name, delay, api_key): print(f"Starting {phase_name} with key {api_key}...") time.sleep(delay) print(f"Finished {phase_name}") return f"Result for {phase_name} using {api_key}" class TestParallelProcessing(unittest.TestCase): def test_parallel_execution(self): """ Verify that 3 tasks taking 2 seconds each finish in roughly 2 seconds total, not 6. """ api_keys = ["KEY_1", "KEY_2", "KEY_3"] phases = ["r", "y", "b"] delay = 2.0 start_time = time.time() results = {} with concurrent.futures.ThreadPoolExecutor(max_workers=3) as executor: future_to_phase = { executor.submit(mock_process_phase, phase, delay, api_keys[i]): phase for i, phase in enumerate(phases) } for future in concurrent.futures.as_completed(future_to_phase): phase = future_to_phase[future] try: data = future.result() results[phase] = data except Exception as exc: print(f'{phase} generated an exception: {exc}') end_time = time.time() duration = end_time - start_time print(f"\nTotal duration: {duration:.2f} seconds") print(f"Results: {results}") # Assertions self.assertLess(duration, 3.0, "Parallel execution took too long! Should be close to 2s, not 6s.") self.assertEqual(len(results), 3, "Did not get results for all 3 phases") self.assertTrue("KEY_1" in results['r']) self.assertTrue("KEY_2" in results['y']) self.assertTrue("KEY_3" in results['b']) if __name__ == '__main__': unittest.main()