Mercurial > hg > orthanc-tests
view NewTests/Concurrency/test_transfer.py @ 680:60cdae616275 large-queries
closing large-queries branch
author | Alain Mazy <am@orthanc.team> |
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date | Thu, 05 Sep 2024 18:58:01 +0200 |
parents | b50b6acc1206 |
children | 765446710507 33e8cb8511ca |
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import subprocess import time import unittest from orthanc_api_client import OrthancApiClient, ResourceType from orthanc_tools import OrthancTestDbPopulator from helpers import Helpers, wait_container_healthy import pathlib import os here = pathlib.Path(__file__).parent.resolve() class TestConcurrencyTransfers(unittest.TestCase): @classmethod def cleanup(cls): os.chdir(here) print("Cleaning old compose") subprocesss_env = os.environ.copy() subprocesss_env["ORTHANC_IMAGE_UNDER_TESTS"] = Helpers.orthanc_under_tests_docker_image subprocess.run(["docker", "compose", "-f", "docker-compose-transfers-concurrency.yml", "down", "-v", "--remove-orphans"], env=subprocesss_env, check=True) @classmethod def compose_up(cls): # print("Pullling containers") # subprocesss_env = os.environ.copy() # subprocesss_env["ORTHANC_IMAGE_UNDER_TESTS"] = Helpers.orthanc_under_tests_docker_image # subprocess.run(["docker", "compose", "-f", "docker-compose-transfers-concurrency.yml", "pull"], # env=subprocesss_env, check=True) print("Compose up") subprocesss_env = os.environ.copy() subprocesss_env["ORTHANC_IMAGE_UNDER_TESTS"] = Helpers.orthanc_under_tests_docker_image subprocess.run(["docker", "compose", "-f", "docker-compose-transfers-concurrency.yml", "up", "-d"], env=subprocesss_env, check=True) @classmethod def setUpClass(cls): cls.cleanup() cls.compose_up() @classmethod def tearDownClass(cls): #cls.cleanup() pass def clean_start(self): oa = OrthancApiClient("http://localhost:8062") ob = OrthancApiClient("http://localhost:8063") oa.wait_started() ob.wait_started() oa.delete_all_content() ob.delete_all_content() return oa, ob def test_push(self): oa, ob = self.clean_start() populator = OrthancTestDbPopulator(oa, studies_count=5, random_seed=65) populator.execute() all_studies_ids = oa.studies.get_all_ids() instances_count = oa.get_statistics().instances_count disk_size = oa.get_statistics().total_disk_size repeat_count = 2 for compression in [True, False]: start_time = time.time() for i in range(0, repeat_count): oa.transfers.send(target_peer='b', resources_ids=all_studies_ids, resource_type=ResourceType.STUDY, compress=compression) self.assertEqual(instances_count, ob.get_statistics().instances_count) self.assertEqual(disk_size, ob.get_statistics().total_disk_size) ob.delete_all_content() elapsed = time.time() - start_time print(f"TIMING test_push (compression={compression}) with {instances_count} instances for a total of {disk_size/(1024*1024)} MB (repeat {repeat_count}x): {elapsed:.3f} s") def test_pull(self): oa, ob = self.clean_start() populator = OrthancTestDbPopulator(ob, studies_count=5, random_seed=65) populator.execute() all_studies_ids = ob.studies.get_all_ids() instances_count = ob.get_statistics().instances_count disk_size = ob.get_statistics().total_disk_size repeat_count = 2 for compression in [True, False]: start_time = time.time() for i in range(0, repeat_count): remote_job = ob.transfers.send_async(target_peer='a', resources_ids=all_studies_ids, resource_type=ResourceType.STUDY, compress=compression) job = oa.jobs.get(orthanc_id=remote_job.remote_job_id) job.wait_completed(polling_interval=0.1) self.assertEqual(instances_count, oa.get_statistics().instances_count) self.assertEqual(disk_size, oa.get_statistics().total_disk_size) oa.delete_all_content() elapsed = time.time() - start_time print(f"TIMING test_pull (compression={compression}) with {instances_count} instances for a total of {disk_size/(1024*1024)} MB (repeat {repeat_count}x): {elapsed:.3f} s")