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592
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1 import unittest
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2 import time
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3 import os
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4 import threading
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5 from helpers import OrthancTestCase, Helpers
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6
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7 from orthanc_api_client import OrthancApiClient, generate_test_dicom_file
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8 from orthanc_tools import OrthancTestDbPopulator
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9
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10 import pathlib
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11 import subprocess
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12 import glob
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13 here = pathlib.Path(__file__).parent.resolve()
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14
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15
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16 def worker_upload_folder(orthanc_root_url: str, folder: str, repeat: int, worker_id: int):
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17 o = OrthancApiClient(orthanc_root_url)
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18 for i in range(0, repeat):
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19 o.upload_folder(folder, ignore_errors=True)
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20
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21 def worker_anonymize_study(orthanc_root_url: str, study_id: str, repeat: int, worker_id: int):
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22 o = OrthancApiClient(orthanc_root_url)
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23
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24 for i in range(0, repeat):
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25 o.studies.anonymize(orthanc_id=study_id, delete_original=False)
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26
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27 def worker_upload_delete_study_part(orthanc_root_url: str, folder: str, repeat: int, workers_count: int, worker_id: int):
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28 o = OrthancApiClient(orthanc_root_url)
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29
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30 all_files = glob.glob(os.path.join(folder, '*.dcm'))
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31
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32 for i in range(0, repeat):
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33 instances_ids = []
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34
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35 for i in range(0, len(all_files)):
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36 if i % workers_count == worker_id:
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37 instances_ids.extend(o.upload_file(all_files[i]))
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38
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39 for instance_id in instances_ids:
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40 o.instances.delete(orthanc_id=instance_id)
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41
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42
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43 class TestConcurrency(OrthancTestCase):
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44
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45 @classmethod
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46 def terminate(cls):
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47
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48 if Helpers.is_docker():
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49 subprocess.run(["docker", "rm", "-f", "pg-server"])
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50 else:
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51 cls.pg_service_process.terminate()
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52
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53
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54 @classmethod
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55 def prepare(cls):
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56 test_name = "Concurrency"
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57 cls._storage_name = "concurrency"
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58
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59 print(f'-------------- preparing {test_name} tests')
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60
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61 cls.clear_storage(storage_name=cls._storage_name)
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62
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63 pg_hostname = "localhost"
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64 if Helpers.is_docker():
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65 pg_hostname = "pg-server"
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66 cls.create_docker_network("concurrency")
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67
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68 config = {
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69 "PostgreSQL" : {
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70 "EnableStorage": False,
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71 "EnableIndex": True,
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72 "Host": pg_hostname,
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73 "Port": 5432,
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74 "Database": "postgres",
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75 "Username": "postgres",
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76 "Password": "postgres",
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77 "IndexConnectionsCount": 10,
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78 "MaximumConnectionRetries" : 2000,
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79 "ConnectionRetryInterval" : 5,
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80 "TransactionMode": "READ COMMITTED",
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81 #"TransactionMode": "SERIALIZABLE",
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82 "EnableVerboseLogs": True
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83 },
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84 "AuthenticationEnabled": False,
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85 "OverwriteInstances": True,
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86 "JobsEngineThreadsCount" : {
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87 "ResourceModification": 8
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88 },
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89 }
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90
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91 config_path = cls.generate_configuration(
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92 config_name=f"{test_name}",
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93 storage_name=cls._storage_name,
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94 config=config,
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95 plugins=Helpers.plugins
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96 )
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97
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98 # launch the docker PG server
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99 print('--------------- launching PostgreSQL server ------------------')
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100
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101 cls.pg_service_process = subprocess.Popen([
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102 "docker", "run", "--rm",
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103 "-p", "5432:5432",
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104 "--network", "concurrency",
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105 "--name", "pg-server",
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106 "--env", "POSTGRES_HOST_AUTH_METHOD=trust",
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107 "postgres:15"])
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108 time.sleep(5)
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109
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110 if Helpers.break_before_preparation:
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111 print(f"++++ It is now time to start your Orthanc under tests with configuration file '{config_path}' +++++")
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112 input("Press Enter to continue")
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113 else:
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114 cls.launch_orthanc_under_tests(
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115 config_name=f"{test_name}",
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116 storage_name=cls._storage_name,
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117 config=config,
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118 plugins=Helpers.plugins,
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119 docker_network="concurrency"
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120 )
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121
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122 cls.o = OrthancApiClient(cls.o._root_url)
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123 cls.o.wait_started()
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124 cls.o.delete_all_content()
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125
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126
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127 def execute_workers(self, worker_func, worker_args, workers_count):
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128 workers = []
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129 for i in range(0, workers_count):
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130 t = threading.Thread(target=worker_func, args=worker_args + (i, ))
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131 workers.append(t)
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132 t.start()
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133
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134 for t in workers:
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135 t.join()
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136
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137 def test_concurrent_uploads_same_study(self):
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138 self.o.delete_all_content()
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139 self.clear_storage(storage_name=self._storage_name)
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140
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141 start_time = time.time()
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142 workers_count = 20
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143 repeat_count = 1
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144
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145 # massively reupload the same study multiple times with OverwriteInstances set to true
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146 # Make sure the studies, series and instances are created only once
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147 self.execute_workers(
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148 worker_func=worker_upload_folder,
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149 worker_args=(self.o._root_url, here / "../../Database/Knee", repeat_count,),
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150 workers_count=workers_count)
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151
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152 elapsed = time.time() - start_time
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593
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153 print(f"TIMING test_concurrent_uploads_same_study with {workers_count} workers and {repeat_count}x repeat: {elapsed:.3f} s")
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592
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154
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155 self.assertTrue(self.o.is_alive())
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156
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157 self.assertEqual(1, len(self.o.studies.get_all_ids()))
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158 self.assertEqual(2, len(self.o.series.get_all_ids()))
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159 self.assertEqual(50, len(self.o.instances.get_all_ids()))
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160
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161 stats = self.o.get_json("/statistics")
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162 self.assertEqual(1, stats.get("CountPatients"))
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163 self.assertEqual(1, stats.get("CountStudies"))
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164 self.assertEqual(2, stats.get("CountSeries"))
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165 self.assertEqual(50, stats.get("CountInstances"))
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166 self.assertEqual(4118738, int(stats.get("TotalDiskSize")))
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167
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168 self.o.instances.delete(orthanc_ids=self.o.instances.get_all_ids())
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169
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170 self.assertEqual(0, len(self.o.studies.get_all_ids()))
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171 self.assertEqual(0, len(self.o.series.get_all_ids()))
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172 self.assertEqual(0, len(self.o.instances.get_all_ids()))
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173
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174 stats = self.o.get_json("/statistics")
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175 self.assertEqual(0, stats.get("CountPatients"))
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176 self.assertEqual(0, stats.get("CountStudies"))
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177 self.assertEqual(0, stats.get("CountSeries"))
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178 self.assertEqual(0, stats.get("CountInstances"))
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179 self.assertEqual(0, int(stats.get("TotalDiskSize")))
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593
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180 # time.sleep(10000)
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592
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181 self.assertTrue(self.is_storage_empty(self._storage_name))
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182
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183 def test_concurrent_anonymize_same_study(self):
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184 self.o.delete_all_content()
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185 self.clear_storage(storage_name=self._storage_name)
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186
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187 self.o.upload_folder(here / "../../Database/Knee")
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188 study_id = self.o.studies.get_all_ids()[0]
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189
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190 start_time = time.time()
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191 workers_count = 4
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192 repeat_count = 10
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193
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194 # massively anonymize the same study. This generates new studies and is a
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195 # good way to simulate ingestion of new studies
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196 self.execute_workers(
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197 worker_func=worker_anonymize_study,
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198 worker_args=(self.o._root_url, study_id, repeat_count,),
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199 workers_count=workers_count)
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200
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201 elapsed = time.time() - start_time
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593
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202 print(f"TIMING test_concurrent_anonymize_same_study with {workers_count} workers and {repeat_count}x repeat: {elapsed:.3f} s")
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592
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203
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204 self.assertTrue(self.o.is_alive())
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205
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206 self.assertEqual(1 + workers_count * repeat_count, len(self.o.studies.get_all_ids()))
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207 self.assertEqual(2 * (1 + workers_count * repeat_count), len(self.o.series.get_all_ids()))
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208 self.assertEqual(50 * (1 + workers_count * repeat_count), len(self.o.instances.get_all_ids()))
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209
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210 stats = self.o.get_json("/statistics")
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211 self.assertEqual(1 + workers_count * repeat_count, stats.get("CountPatients"))
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212 self.assertEqual(1 + workers_count * repeat_count, stats.get("CountStudies"))
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213 self.assertEqual(2 * (1 + workers_count * repeat_count), stats.get("CountSeries"))
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214 self.assertEqual(50 * (1 + workers_count * repeat_count), stats.get("CountInstances"))
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215
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593
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216 start_time = time.time()
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217
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592
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218 self.o.instances.delete(orthanc_ids=self.o.instances.get_all_ids())
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219
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593
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220 elapsed = time.time() - start_time
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221 print(f"TIMING test_concurrent_anonymize_same_study deletion took: {elapsed:.3f} s")
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222
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592
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223 self.assertEqual(0, len(self.o.studies.get_all_ids()))
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224 self.assertEqual(0, len(self.o.series.get_all_ids()))
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225 self.assertEqual(0, len(self.o.instances.get_all_ids()))
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226
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227 stats = self.o.get_json("/statistics")
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228 self.assertEqual(0, stats.get("CountPatients"))
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229 self.assertEqual(0, stats.get("CountStudies"))
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230 self.assertEqual(0, stats.get("CountSeries"))
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231 self.assertEqual(0, stats.get("CountInstances"))
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232 self.assertEqual(0, int(stats.get("TotalDiskSize")))
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233 self.assertTrue(self.is_storage_empty(self._storage_name))
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234
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235
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236 def test_upload_delete_same_study_from_multiple_threads(self):
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237 self.o.delete_all_content()
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238 self.clear_storage(storage_name=self._storage_name)
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239
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240 start_time = time.time()
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241 workers_count = 5
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242 repeat_count = 30
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243
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244 # massively upload and delete the same study. Each worker is writing a part of the instances and deleting them.
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245 # We are trying to have multiple workers deleting the last instance of a study at the same time.
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246 self.execute_workers(
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247 worker_func=worker_upload_delete_study_part,
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248 worker_args=(self.o._root_url, here / "../../Database/Knee/T1", repeat_count, workers_count, ),
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249 workers_count=workers_count)
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250
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251 elapsed = time.time() - start_time
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593
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252 print(f"TIMING test_upload_delete_same_study_from_multiple_threads with {workers_count} workers and {repeat_count}x repeat: {elapsed:.3f} s")
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592
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253
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254 self.assertTrue(self.o.is_alive())
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255
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256 self.assertEqual(0, len(self.o.studies.get_all_ids()))
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257 self.assertEqual(0, len(self.o.series.get_all_ids()))
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258 self.assertEqual(0, len(self.o.instances.get_all_ids()))
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259
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260 stats = self.o.get_json("/statistics")
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261 self.assertEqual(0, stats.get("CountPatients"))
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262 self.assertEqual(0, stats.get("CountStudies"))
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263 self.assertEqual(0, stats.get("CountSeries"))
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264 self.assertEqual(0, stats.get("CountInstances"))
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265 self.assertEqual(0, int(stats.get("TotalDiskSize")))
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266 self.assertTrue(self.is_storage_empty(self._storage_name))
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267
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268 # transfers + dicomweb |
