Mercurial > hg > orthanc
annotate Resources/Samples/Python/HighPerformanceAutoRouting.py @ 1184:4e9d517503ae
port to Python3
| author | Sebastien Jodogne <s.jodogne@gmail.com> |
|---|---|
| date | Fri, 10 Oct 2014 09:13:48 +0200 |
| parents | fef79a477e09 |
| children | 6e7e5ed91c2d |
| rev | line source |
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| 404 | 1 #!/usr/bin/python |
| 2 # -*- coding: utf-8 -*- | |
| 3 | |
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4 # Orthanc - A Lightweight, RESTful DICOM Store |
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5 # Copyright (C) 2012-2014 Medical Physics Department, CHU of Liege, |
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6 # 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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20 |
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21 |
| 404 | 22 |
| 23 URL = 'http://localhost:8042' | |
| 24 TARGET = 'sample' | |
| 25 | |
| 26 | |
| 27 # | |
| 28 # This sample code shows how to setup a simple, high-performance DICOM | |
| 29 # auto-routing. All the DICOM instances that arrive inside Orthanc | |
| 30 # will be sent to a remote modality. A producer-consumer pattern is | |
| 31 # used. The target modality is specified by the TARGET variable above: | |
| 32 # It must match an entry in the Orthanc configuration file inside the | |
| 33 # "DicomModalities" section. | |
| 34 # | |
| 35 # NOTE: This sample only works with Orthanc >= 0.5.2. Make sure that | |
| 36 # Orthanc was built with "-DCMAKE_BUILD_TYPE=Release" to get the best | |
| 37 # performance. | |
| 38 # | |
| 39 | |
| 40 import Queue | |
| 41 import sys | |
| 42 import time | |
| 43 import threading | |
| 44 | |
| 45 import RestToolbox | |
| 46 | |
| 47 | |
| 48 # | |
| 49 # Queue that is shared between the producer and the consumer | |
| 50 # threads. It holds the instances that are still to be sent. | |
| 51 # | |
| 52 | |
| 53 queue = Queue.Queue() | |
| 54 | |
| 55 | |
| 56 # | |
| 57 # The producer thread. It monitors the arrival of new instances into | |
| 58 # Orthanc, and pushes their ID into the shared queue. This code is | |
| 59 # based upon the "ChangesLoop.py" sample code. | |
| 60 # | |
| 61 | |
| 62 def Producer(queue): | |
| 63 current = 0 | |
| 64 | |
| 65 while True: | |
| 66 r = RestToolbox.DoGet(URL + '/changes', { | |
| 67 'since' : current, | |
| 68 'limit' : 4 # Retrieve at most 4 changes at once | |
| 69 }) | |
| 70 | |
| 71 for change in r['Changes']: | |
| 72 # We are only interested interested in the arrival of new instances | |
| 73 if change['ChangeType'] == 'NewInstance': | |
| 74 queue.put(change['ID']) | |
| 75 | |
| 76 current = r['Last'] | |
| 77 | |
| 78 if r['Done']: | |
| 79 time.sleep(1) | |
| 80 | |
| 81 | |
| 82 # | |
| 83 # The consumer thread. It continuously reads the instances from the | |
| 84 # queue, and send them to the remote modality. Each time a packet of | |
| 85 # instances is sent, a single DICOM connexion is used, hence improving | |
| 86 # the performance. | |
| 87 # | |
| 88 | |
| 89 def Consumer(queue): | |
| 90 TIMEOUT = 0.1 | |
| 91 | |
| 92 while True: | |
| 93 instances = [] | |
| 94 | |
| 95 while True: | |
| 96 try: | |
| 97 # Block for a while, waiting for the arrival of a new | |
| 98 # instance | |
| 99 instance = queue.get(True, TIMEOUT) | |
| 100 | |
| 101 # A new instance has arrived: Record its ID | |
| 102 instances.append(instance) | |
| 103 queue.task_done() | |
| 104 | |
| 105 except Queue.Empty: | |
| 106 # Timeout: No more data was received | |
| 107 break | |
| 108 | |
| 109 if len(instances) > 0: | |
| 1184 | 110 print('Sending a packet of %d instances' % len(instances)) |
| 404 | 111 start = time.time() |
| 112 | |
| 113 # Send all the instances with a single DICOM connexion | |
| 114 RestToolbox.DoPost('%s/modalities/sample/store' % URL, instances) | |
| 115 | |
| 116 # Remove all the instances from Orthanc | |
| 117 for instance in instances: | |
| 118 RestToolbox.DoDelete('%s/instances/%s' % (URL, instance)) | |
| 119 | |
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120 # Clear the log of the exported instances (to prevent the |
| 1143 | 121 # SQLite database from growing indefinitely). More simply, |
| 122 # you could also set the "LogExportedResources" option to | |
| 1144 | 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 |
| 404 | 126 end = time.time() |
| 1184 | 127 print('The packet of %d instances has been sent in %d seconds' % (len(instances), end - start)) |
| 404 | 128 |
| 129 | |
| 130 # | |
| 131 # Thread to display the progress | |
| 132 # | |
| 133 | |
| 134 def PrintProgress(queue): | |
| 135 while True: | |
| 1184 | 136 print('Current queue size: %d' % (queue.qsize())) |
| 404 | 137 time.sleep(1) |
| 138 | |
| 139 | |
| 140 # | |
| 141 # Start the various threads | |
| 142 # | |
| 143 | |
| 144 progress = threading.Thread(None, PrintProgress, None, (queue, )) | |
| 145 progress.daemon = True | |
| 146 progress.start() | |
| 147 | |
| 148 producer = threading.Thread(None, Producer, None, (queue, )) | |
| 149 producer.daemon = True | |
| 150 producer.start() | |
| 151 | |
| 152 consumer = threading.Thread(None, Consumer, None, (queue, )) | |
| 153 consumer.daemon = True | |
| 154 consumer.start() | |
| 155 | |
| 156 | |
| 157 # | |
| 158 # Active waiting for Ctrl-C | |
| 159 # | |
| 160 | |
| 161 while True: | |
| 162 time.sleep(0.1) |