annotate Resources/Samples/Python/HighPerformanceAutoRouting.py @ 3860:9ccbbd55bc23

allow Keeping the SOPInstanceUID in /instances/../modify
author Alain Mazy <alain@mazy.be>
date Fri, 24 Apr 2020 17:30:41 +0200
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1 #!/usr/bin/python
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2 # -*- coding: utf-8 -*-
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3
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4 # Orthanc - A Lightweight, RESTful DICOM Store
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5 # Copyright (C) 2012-2016 Sebastien Jodogne, Medical Physics
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6 # Department, University Hospital of Liege, Belgium
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7 # Copyright (C) 2017-2020 Osimis S.A., Belgium
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8 #
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9 # This program is free software: you can redistribute it and/or
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10 # modify it under the terms of the GNU General Public License as
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11 # published by the Free Software Foundation, either version 3 of the
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12 # License, or (at your option) any later version.
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13 #
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14 # This program is distributed in the hope that it will be useful, but
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15 # WITHOUT ANY WARRANTY; without even the implied warranty of
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16 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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17 # General Public License for more details.
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18 #
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19 # You should have received a copy of the GNU General Public License
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20 # along with this program. If not, see <http://www.gnu.org/licenses/>.
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24 URL = 'http://127.0.0.1:8042'
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25 TARGET = 'sample'
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26
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27
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28 #
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29 # This sample code shows how to setup a simple, high-performance DICOM
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30 # auto-routing. All the DICOM instances that arrive inside Orthanc
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31 # will be sent to a remote modality. A producer-consumer pattern is
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32 # used. The target modality is specified by the TARGET variable above:
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33 # It must match an entry in the Orthanc configuration file inside the
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34 # "DicomModalities" section.
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35 #
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36 # NOTE: This sample only works with Orthanc >= 0.5.2. Make sure that
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37 # Orthanc was built with "-DCMAKE_BUILD_TYPE=Release" to get the best
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38 # performance.
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39 #
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41 import Queue
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42 import sys
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43 import time
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44 import threading
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45
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46 import RestToolbox
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48
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49 #
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50 # Queue that is shared between the producer and the consumer
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51 # threads. It holds the instances that are still to be sent.
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52 #
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53
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54 queue = Queue.Queue()
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55
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56
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57 #
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58 # The producer thread. It monitors the arrival of new instances into
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59 # Orthanc, and pushes their ID into the shared queue. This code is
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60 # based upon the "ChangesLoop.py" sample code.
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61 #
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62
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63 def Producer(queue):
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64 current = 0
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65
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66 while True:
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67 r = RestToolbox.DoGet(URL + '/changes', {
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68 'since' : current,
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69 'limit' : 4 # Retrieve at most 4 changes at once
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70 })
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71
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72 for change in r['Changes']:
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73 # We are only interested in the arrival of new instances
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74 if change['ChangeType'] == 'NewInstance':
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75 queue.put(change['ID'])
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76
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77 current = r['Last']
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78
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79 if r['Done']:
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80 time.sleep(1)
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81
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82
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83 #
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84 # The consumer thread. It continuously reads the instances from the
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85 # queue, and send them to the remote modality. Each time a packet of
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86 # instances is sent, a single DICOM connexion is used, hence improving
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87 # the performance.
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88 #
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89
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90 def Consumer(queue):
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91 TIMEOUT = 0.1
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92
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93 while True:
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94 instances = []
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95
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96 while True:
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97 try:
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98 # Block for a while, waiting for the arrival of a new
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99 # instance
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100 instance = queue.get(True, TIMEOUT)
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101
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102 # A new instance has arrived: Record its ID
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103 instances.append(instance)
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104 queue.task_done()
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105
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106 except Queue.Empty:
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107 # Timeout: No more data was received
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108 break
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109
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110 if len(instances) > 0:
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111 print('Sending a packet of %d instances' % len(instances))
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112 start = time.time()
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113
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114 # Send all the instances with a single DICOM connexion
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115 RestToolbox.DoPost('%s/modalities/sample/store' % URL, instances)
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116
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117 # Remove all the instances from Orthanc
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118 for instance in instances:
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119 RestToolbox.DoDelete('%s/instances/%s' % (URL, instance))
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120
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121 # Clear the log of the exported instances (to prevent the
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122 # SQLite database from growing indefinitely). More simply,
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123 # you could also set the "LogExportedResources" option to
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124 # "false" in the configuration file since Orthanc 0.8.3.
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125 RestToolbox.DoDelete('%s/exports' % URL)
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126
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127 end = time.time()
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128 print('The packet of %d instances has been sent in %d seconds' % (len(instances), end - start))
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129
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130
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131 #
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132 # Thread to display the progress
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133 #
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134
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135 def PrintProgress(queue):
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136 while True:
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137 print('Current queue size: %d' % (queue.qsize()))
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138 time.sleep(1)
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139
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140
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141 #
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142 # Start the various threads
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143 #
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144
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145 progress = threading.Thread(None, PrintProgress, None, (queue, ))
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146 progress.daemon = True
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147 progress.start()
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148
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149 producer = threading.Thread(None, Producer, None, (queue, ))
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150 producer.daemon = True
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151 producer.start()
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152
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153 consumer = threading.Thread(None, Consumer, None, (queue, ))
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154 consumer.daemon = True
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155 consumer.start()
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156
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157
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158 #
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159 # Active waiting for Ctrl-C
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160 #
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161
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162 while True:
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163 time.sleep(0.1)