annotate Resources/Samples/Python/HighPerformanceAutoRouting.py @ 2143:fd5875662670

creation of namespace SystemToolbox
author Sebastien Jodogne <s.jodogne@gmail.com>
date Wed, 09 Nov 2016 16:54:23 +0100
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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 #
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8 # This program is free software: you can redistribute it and/or
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9 # modify it under the terms of the GNU General Public License as
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10 # published by the Free Software Foundation, either version 3 of the
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11 # License, or (at your option) any later version.
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12 #
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13 # This program is distributed in the hope that it will be useful, but
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14 # WITHOUT ANY WARRANTY; without even the implied warranty of
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15 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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16 # General Public License for more details.
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17 #
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18 # You should have received a copy of the GNU General Public License
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19 # along with this program. If not, see <http://www.gnu.org/licenses/>.
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23 URL = 'http://127.0.0.1:8042'
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24 TARGET = 'sample'
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25
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27 #
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28 # This sample code shows how to setup a simple, high-performance DICOM
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29 # auto-routing. All the DICOM instances that arrive inside Orthanc
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30 # will be sent to a remote modality. A producer-consumer pattern is
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31 # used. The target modality is specified by the TARGET variable above:
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32 # It must match an entry in the Orthanc configuration file inside the
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33 # "DicomModalities" section.
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34 #
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35 # NOTE: This sample only works with Orthanc >= 0.5.2. Make sure that
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36 # Orthanc was built with "-DCMAKE_BUILD_TYPE=Release" to get the best
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37 # performance.
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38 #
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39
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40 import Queue
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41 import sys
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42 import time
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43 import threading
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44
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45 import RestToolbox
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46
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47
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48 #
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49 # Queue that is shared between the producer and the consumer
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50 # threads. It holds the instances that are still to be sent.
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51 #
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52
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53 queue = Queue.Queue()
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54
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55
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56 #
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57 # The producer thread. It monitors the arrival of new instances into
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58 # Orthanc, and pushes their ID into the shared queue. This code is
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59 # based upon the "ChangesLoop.py" sample code.
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60 #
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61
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62 def Producer(queue):
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63 current = 0
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64
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65 while True:
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66 r = RestToolbox.DoGet(URL + '/changes', {
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67 'since' : current,
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68 'limit' : 4 # Retrieve at most 4 changes at once
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69 })
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70
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71 for change in r['Changes']:
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72 # We are only interested interested in the arrival of new instances
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73 if change['ChangeType'] == 'NewInstance':
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74 queue.put(change['ID'])
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75
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76 current = r['Last']
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77
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78 if r['Done']:
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79 time.sleep(1)
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80
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81
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82 #
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83 # The consumer thread. It continuously reads the instances from the
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84 # queue, and send them to the remote modality. Each time a packet of
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85 # instances is sent, a single DICOM connexion is used, hence improving
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86 # the performance.
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87 #
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88
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89 def Consumer(queue):
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90 TIMEOUT = 0.1
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91
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92 while True:
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93 instances = []
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94
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95 while True:
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96 try:
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97 # Block for a while, waiting for the arrival of a new
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98 # instance
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99 instance = queue.get(True, TIMEOUT)
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100
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101 # A new instance has arrived: Record its ID
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102 instances.append(instance)
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103 queue.task_done()
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104
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105 except Queue.Empty:
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106 # Timeout: No more data was received
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107 break
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108
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109 if len(instances) > 0:
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110 print('Sending a packet of %d instances' % len(instances))
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111 start = time.time()
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112
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113 # Send all the instances with a single DICOM connexion
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114 RestToolbox.DoPost('%s/modalities/sample/store' % URL, instances)
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115
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116 # Remove all the instances from Orthanc
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117 for instance in instances:
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118 RestToolbox.DoDelete('%s/instances/%s' % (URL, instance))
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119
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120 # Clear the log of the exported instances (to prevent the
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121 # SQLite database from growing indefinitely). More simply,
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122 # you could also set the "LogExportedResources" option to
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123 # "false" in the configuration file since Orthanc 0.8.3.
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124 RestToolbox.DoDelete('%s/exports' % URL)
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125
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126 end = time.time()
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127 print('The packet of %d instances has been sent in %d seconds' % (len(instances), end - start))
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128
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129
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130 #
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131 # Thread to display the progress
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132 #
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133
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134 def PrintProgress(queue):
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135 while True:
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136 print('Current queue size: %d' % (queue.qsize()))
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137 time.sleep(1)
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138
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139
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140 #
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141 # Start the various threads
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142 #
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143
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144 progress = threading.Thread(None, PrintProgress, None, (queue, ))
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145 progress.daemon = True
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146 progress.start()
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147
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148 producer = threading.Thread(None, Producer, None, (queue, ))
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149 producer.daemon = True
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150 producer.start()
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151
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152 consumer = threading.Thread(None, Consumer, None, (queue, ))
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153 consumer.daemon = True
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154 consumer.start()
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155
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156
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157 #
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158 # Active waiting for Ctrl-C
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159 #
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160
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161 while True:
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162 time.sleep(0.1)