Mercurial > hg > orthanc-book
annotate Sphinx/source/plugins/python.rst @ 991:1316bc62b5d5
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author | Sebastien Jodogne <s.jodogne@gmail.com> |
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date | Tue, 21 Nov 2023 21:09:02 +0100 |
parents | 46e2941b57dd |
children | 05b106383b2a |
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1 .. _python-plugin: |
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2 |
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3 |
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4 Python plugin for Orthanc |
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5 ========================= |
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6 |
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7 .. contents:: |
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8 |
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10 Overview |
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11 -------- |
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12 |
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13 This plugin can be used to write :ref:`Orthanc plugins |
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14 <creating-plugins>` using the `Python programming language |
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15 <https://en.wikipedia.org/wiki/Python_(programming_language)>`__ |
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16 instead of the more complex C/C++ programming languages. |
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17 |
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18 Python plugins have access to more features and a more consistent SDK |
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19 than :ref:`Lua scripts <lua>`. The largest part of the Python API is |
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20 automatically generated from the `Orthanc plugin SDK in C |
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21 <https://orthanc.uclouvain.be/hg/orthanc/file/Orthanc-1.12.1/OrthancServer/Plugins/Include/orthanc/OrthancCPlugin.h>`__ |
345 | 22 using the `Clang <https://en.wikipedia.org/wiki/Clang>`__ compiler |
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23 front-end. |
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24 |
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25 As of release 3.2 of the plugin, the coverage of the C SDK is about |
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26 87% (138 functions are automatically wrapped in Python out of a total |
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27 of 158 functions from the Orthanc SDK 1.8.1). |
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28 |
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29 |
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30 Source code |
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31 ----------- |
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32 |
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33 * Link to the `official releases of this plugin |
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34 <https://www.orthanc-server.com/browse.php?path=/plugin-python>`__. |
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35 |
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36 * Link to the `code repository |
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37 <https://orthanc.uclouvain.be/hg/orthanc-python/>`__. |
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38 |
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39 |
353 | 40 Licensing |
41 --------- | |
42 | |
43 Pay attention to the fact that this plugin is licensed under the terms | |
44 of the `AGPL license | |
45 <https://en.wikipedia.org/wiki/GNU_Affero_General_Public_License>`__. | |
46 | |
47 This has an important consequence: If you distribute Orthanc to | |
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48 clients together with one Python script, or if you put an Orthanc |
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49 server equipped with one Python script on a Web portal, you **must** |
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50 disclose the source code of your Python script to the Orthanc |
354 | 51 community under the terms of the AGPL license. |
52 | |
53 We suggest you to put the source code of your Python scripts on the | |
54 dedicated `"OrthancContributed" repository on GitHub | |
55 <https://github.com/jodogne/OrthancContributed/tree/master/Plugins>`__, | |
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56 and/or to send it to the `Orthanc Users discussion forum |
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57 <https://discourse.orthanc-server.org>`__. |
353 | 58 |
59 Check out the :ref:`FAQ about licensing <licensing>` for more context. | |
60 | |
61 | |
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62 Usage |
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63 ----- |
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64 |
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65 Docker |
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66 ...... |
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67 |
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68 .. highlight:: python |
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69 |
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70 The most direct way of starting Orthanc together with the Python |
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71 plugin is through :ref:`Docker <docker>`. Let's create the file |
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72 ``/tmp/hello.py`` that contains the following basic Python script:: |
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73 |
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74 print('Hello world!') |
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75 |
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76 .. highlight:: json |
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77 |
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78 Let's also create the file ``/tmp/orthanc.json`` that contains the |
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79 following minimal :ref:`configuration for Orthanc <configuration>`:: |
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80 |
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81 { |
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82 "StorageDirectory" : "/var/lib/orthanc/db", |
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83 "RemoteAccessAllowed" : true, |
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84 "Plugins" : [ |
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85 "/usr/local/share/orthanc/plugins" |
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86 ], |
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87 "PythonScript" : "/etc/orthanc/hello.py" |
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88 } |
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89 |
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90 .. highlight:: bash |
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91 |
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92 Given these two files, Orthanc can be started as follows:: |
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93 |
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94 $ docker run -p 4242:4242 -p 8042:8042 --rm \ |
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95 -v /tmp/orthanc.json:/etc/orthanc/orthanc.json:ro \ |
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96 -v /tmp/hello.py:/etc/orthanc/hello.py:ro \ |
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97 jodogne/orthanc-python |
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98 |
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99 .. highlight:: text |
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100 |
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101 You'll see the following excerpt in the log, which indicates that the Python plugin is properly loaded:: |
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102 |
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103 W0331 15:48:12.990661 PluginsManager.cpp:269] Registering plugin 'python' (version mainline) |
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104 W0331 15:48:12.990691 PluginsManager.cpp:168] Python plugin is initializing |
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105 W0331 15:48:12.990743 PluginsManager.cpp:168] Using Python script "hello.py" from directory: /etc/orthanc |
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106 W0331 15:48:12.990819 PluginsManager.cpp:168] Program name: /usr/local/sbin/Orthanc |
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107 Hello world! |
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108 |
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109 |
962 | 110 `Here <https://github.com/orthanc-server/orthanc-setup-samples/tree/master/docker/python/>`__ is a full example |
405 | 111 of a more complex setup using the :ref:`osimis/orthanc <docker-osimis>` images. |
112 | |
800 | 113 |
114 Microsoft Windows | |
115 ................. | |
116 | |
927 | 117 Pre-compiled binaries for Microsoft Windows are now part of the |
118 `Windows Installer <https://www.orthanc-server.com/download-windows.php>`__ | |
119 but not installed by default. They are also `available here | |
800 | 120 <https://www.orthanc-server.com/browse.php?path=/plugin-python>`__. |
121 | |
122 Beware that one version of the Python plugin can only be run against | |
123 one version of the Python interpreter. This version is clearly | |
124 indicated in the filename of the precompiled binaries. | |
125 | |
126 Pay also attention to pick the right 32/64 bits version. If you are | |
127 running Orthanc 64bits, install Python in 64bits and select the 64bits | |
128 Python plugin too. | |
129 | |
130 When you install Python on your Windows machine, make sure to install | |
131 Python for ``All Users`` and select the ``Add Python to Path`` option. | |
132 | |
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133 Compiling from source |
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134 ..................... |
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135 |
800 | 136 For GNU/Linux |
137 ^^^^^^^^^^^^^ | |
138 | |
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139 .. highlight:: bash |
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140 |
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141 The procedure to compile this plugin from source is similar to that |
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142 for the :ref:`core of Orthanc <compiling>`. The following commands |
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143 should work for most UNIX-like distribution (including GNU/Linux):: |
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144 |
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145 $ mkdir Build |
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146 $ cd Build |
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147 $ cmake .. -DPYTHON_VERSION=3.7 -DSTATIC_BUILD=ON -DCMAKE_BUILD_TYPE=Release |
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148 $ make |
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149 |
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150 Before running CMake, make sure that the Python interpreter and its |
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151 associated development library are installed. On Ubuntu 18.04 LTS, you |
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152 would for instance install packages ``libpython3.7-dev`` and |
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153 ``python3.7``. |
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154 |
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155 The compilation will produce the shared library ``OrthancPython``, |
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156 that can be loaded by properly setting the ``Plugins`` |
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157 :ref:`configuration option <configuration>` of Orthanc. |
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158 |
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159 **Warning:** The shared library is only compatible with the Python |
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160 interpreter whose version corresponds to the value of the |
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161 ``PYTHON_VERSION`` argument that was given to CMake. |
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162 |
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163 **Note for OS X:** As indicated by `Stephen Douglas Scotti |
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164 <https://groups.google.com/g/orthanc-users/c/RnmZKFv8FaY/m/HhvOD2A2CAAJ>`__, |
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165 here is a sample invocation of CMake to force the version of Python to |
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166 be used on OS X:: |
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167 |
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168 $ cmake .. -DPYTHON_VERSION=3.8 -DSTATIC_BUILD=ON -DCMAKE_BUILD_TYPE=Release \ |
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169 -DPYTHON_LIBRARY=/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/lib/libpython3.8.dylib \ |
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170 -DPYTHON_INCLUDE_DIR=/usr/local/Cellar/python@3.8/3.8.5/Frameworks/Python.framework/Versions/3.8/include/python3.8/ |
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171 |
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172 |
800 | 173 For Microsoft Windows |
174 ^^^^^^^^^^^^^^^^^^^^^ | |
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175 |
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176 .. highlight:: text |
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177 |
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178 You are of course free to compile the plugin from sources. You'll have |
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179 to explicitly specify the path to your Python installation while |
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180 invoking CMake. For instance:: |
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181 |
800 | 182 C:\orthanc-python\Build> cmake .. -DPYTHON_VERSION=3.8 -DPYTHON_WINDOWS_ROOT=C:/Python38 \ |
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183 -DSTATIC_BUILD=ON -DCMAKE_BUILD_TYPE=Release -G "Visual Studio 15 2017" |
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184 |
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185 **Note about debug builds**: Usually, building Python modules such as the Python |
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186 plugin for Orthanc in debug mode (where ``_DEBUG`` is defined) leads to a module |
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187 (``.exe`` or ``.dll``) that requires a debug build of Python, and debug versions of all |
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188 the Python libraries. This is quite cumbersome, for it requires building Python |
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189 on your own or downloading additional debug files. |
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190 |
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191 Since using a debug build of Python is only necessary in very specific cases |
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192 (such as the debugging of code at the boundary between Python and an extension), |
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193 we have changed the default behavior to use the release Python library by default. |
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194 |
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195 This means that you are able to build this plugin in debug mode with the |
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196 standard Python distribution. |
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197 |
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198 In case you need to use the Python debug libraries, you can instruct the build |
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199 system to do so by setting the ``PYTHON_WINDOWS_USE_RELEASE_LIBS`` CMake option, |
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200 that is ``ON`` by default, to ``OFF``. The previous build example would then be, |
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201 should you require a full debug build:: |
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202 |
800 | 203 C:\orthanc-python\Build> cmake .. -DPYTHON_VERSION=3.8 -DPYTHON_WINDOWS_ROOT=C:/Python38 \ |
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204 -DSTATIC_BUILD=ON -DPYTHON_WINDOWS_USE_RELEASE_LIBS=OFF \ |
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205 -DCMAKE_BUILD_TYPE=Debug -G "Visual Studio 15 2017" |
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206 |
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207 Please note that this CMake option only impacts **debug** builds under Windows, |
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208 when using (any version of) the Microsoft Visual Studio compiler. |
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209 |
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210 The precompiled binaries all use release (i.e. non-debug) versions of Python. |
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211 |
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212 |
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213 Configuration options |
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214 --------------------- |
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215 |
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216 The two main configuration options that are available for this plugin |
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217 are the following: |
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218 |
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219 * ``PythonScript`` indicates where the Python script is located. If |
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220 this configuration option is not provided, the Python plugin is not |
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221 started. |
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222 |
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223 * ``PythonVerbose`` is a Boolean value to make the Python interpreter |
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224 verbose. |
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225 |
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226 Consequently, a minimal :ref:`configuration file <configuration>` for |
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227 Orthanc could be:: |
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228 |
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229 { |
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230 "Plugins" : [ "." ], |
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231 "PythonScript" : "my-plugin.py", |
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232 "PythonVerbose" : false |
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233 } |
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234 |
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235 Starting with release 4.1 of the Python plugin, it is also possible to |
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236 specify the configuration of the plugin in a dedicated ``Python`` |
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237 section as follows:: |
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238 |
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239 { |
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240 "Plugins" : [ "." ], |
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241 "Python" : { |
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242 "Path" : "my-plugin.py", // Alias for the global "PythonScript" option |
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243 "Verbose" : false, // Alias for the global "PythonVerbose" option |
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244 "DisplayMemoryUsage" : false |
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245 } |
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246 } |
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247 |
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248 The option ``Python.DisplayMemoryUsage`` was introduced in release 4.1 |
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249 of the plugin. If set to ``true``, Orthanc will display the memory |
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250 usage of the Python interpreter every second. |
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251 |
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252 |
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253 Samples |
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254 ------- |
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255 |
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256 Extending the REST API |
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257 ...................... |
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258 |
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259 Here is a basic Python script that registers two new routes in the |
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260 REST API: |
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261 |
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262 .. literalinclude:: python/extending-rest-api.py |
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263 :language: python |
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264 |
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265 .. highlight:: json |
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266 |
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267 Here is the associated minimal configuration file for Orthanc |
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268 (provided the Python script is saved as ``rest.py``):: |
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269 |
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270 { |
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271 "Plugins" : [ "." ], |
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272 "PythonScript" : "rest.py", |
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273 "PythonVerbose" : false |
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274 } |
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275 |
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276 .. highlight:: bash |
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277 |
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278 The route can then be accessed as:: |
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279 |
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280 $ curl http://localhost:8042/toto |
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281 ok |
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282 |
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283 |
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284 .. _python-changes: |
345 | 285 |
286 Listening to changes | |
287 .................... | |
288 | |
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289 This sample uploads a DICOM file as soon as Orthanc is started: |
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291 .. literalinclude:: python/listening-changes.py |
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292 :language: python |
345 | 293 |
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294 |
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295 .. warning:: |
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296 In releases <= 3.0 of the Python plugin, deadlocks might emerge if |
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297 you call other core primitives of Orthanc (such as the REST API) in |
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298 your callback function. This issue has been `fixed in release 3.1 |
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299 <https://orthanc.uclouvain.be/hg/orthanc-python/rev/46fe70776d61>`__. |
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300 |
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301 As a **temporary workaround** against such deadlocks in releases <= |
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302 3.0, if you have to call other primitives of Orthanc, you should make |
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303 these calls in a separate thread, passing the pending events to be |
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304 processed through a message queue. Here is the template of a possible |
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305 solution to postpone such deadlocks as much as possible by relying on |
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306 the multithreading primitives of Python: |
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307 |
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308 .. literalinclude:: python/changes-deadlock-3.0.py |
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309 :language: python |
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310 |
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311 Beware that **this workaround is imperfect** and deadlocks have been |
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312 observed even if using it! Make sure to upgrade your plugin to solve |
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313 this issue for good. Note that this temporary workaround is not needed |
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314 in releases >= 3.1 of the plugin. |
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315 |
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316 |
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317 |
345 | 318 Accessing the content of a new instance |
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319 ....................................... |
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320 |
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321 .. literalinclude:: python/accessing-new-instance.py |
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322 :language: python |
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323 |
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324 .. warning:: |
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325 Your callback function will be called synchronously with |
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326 the core of Orthanc. This implies that deadlocks might emerge if |
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327 you call other core primitives of Orthanc in your callback (such |
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328 deadlocks are particular visible in the presence of other plugins |
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329 or Lua scripts). It is thus strongly advised to avoid any call to |
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330 the REST API of Orthanc in the callback. If you have to call other |
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331 primitives of Orthanc, you should make these calls in a separate |
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332 thread, passing the pending events to be processed through a |
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333 message queue. |
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334 |
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335 |
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336 Calling pydicom |
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337 ............... |
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338 |
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339 Here is a sample Python plugin that registers a REST callback to dump |
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340 the content of the dataset of one given DICOM instance stored in |
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341 Orthanc, using `pydicom <https://pydicom.github.io/>`__: |
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342 |
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343 .. literalinclude:: python/pydicom.py |
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344 :language: python |
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345 |
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346 .. highlight:: bash |
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347 |
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348 This callback can be called as follows:: |
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349 |
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350 $ curl http://localhost:8042/pydicom/19816330-cb02e1cf-df3a8fe8-bf510623-ccefe9f5 |
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351 |
347 | 352 |
353 Auto-routing studies | |
354 .................... | |
355 | |
356 Here is a sample Python plugin that routes any :ref:`stable study | |
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357 <stable-resources>` to a modality named ``samples`` (as declared in the |
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358 ``DicomModalities`` configuration option): |
347 | 359 |
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360 .. literalinclude:: python/autorouting-1.py |
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361 :language: python |
348 | 362 |
539 | 363 Note that, if you want to use an orthanc plugin to transfer the study, |
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364 you should use the ``RestApiPostAfterPlugins()`` method: |
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366 .. literalinclude:: python/autorouting-2.py |
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367 :language: python |
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368 |
539 | 369 |
352 | 370 Rendering a thumbnail using PIL/Pillow |
371 ...................................... | |
348 | 372 |
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373 .. literalinclude:: python/pil.py |
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374 :language: python |
351 | 375 |
376 | |
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377 .. _python-introspection: |
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378 |
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379 Inspecting the available API |
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380 ............................ |
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381 |
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382 Thanks to Python's introspection primitives, it is possible to inspect |
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383 the API of the ``orthanc`` module in order to dump all the available |
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384 features: |
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385 |
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386 .. literalinclude:: python/inspect-api.py |
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387 :language: python |
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388 |
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389 |
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390 .. _python-scheduler: |
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391 |
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392 Scheduling a task for periodic execution |
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393 ........................................ |
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394 |
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395 The following Python script will periodically (every second) run the |
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396 function ``Hello()`` thanks to the ``threading`` module: |
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397 |
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398 .. literalinclude:: python/periodic-execution.py |
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399 :language: python |
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400 |
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401 |
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402 .. _python-metadata: |
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403 |
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404 Filtering and returning metadata |
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405 ................................ |
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406 |
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407 Besides the main DICOM tags, Orthanc associates some metadata to each |
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408 resource it stores (this includes the date of last update, the |
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409 transfer syntax, the remote AET...). People are often interested in |
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410 getting such metadata while calling the ``/tools/find`` route in the |
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411 :ref:`REST API <rest-find>`, or even in filtering this metadata the |
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412 same way they look for DICOM tags. |
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413 |
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414 This feature is not built in the core of Orthanc, as metadata is not |
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415 indexed in the Orthanc database, contrarily to the main DICOM |
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416 tags. Filtering metadata requires a linear search over all the |
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417 matching resources, which induces a cost in the performance. |
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418 |
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419 Nevertheless, here is a full sample Python script that overwrites the |
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420 ``/tools/find`` route in order to give access to metadata: |
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421 |
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422 .. literalinclude:: python/filtering-metadata.py |
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423 :language: python |
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424 |
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425 |
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426 **Warning:** In the sample above, the filtering of the metadata is |
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427 done using Python's `library for regular expressions |
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428 <https://docs.python.org/3/library/re.html>`__. It is evidently |
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429 possible to adapt this script in order to use the DICOM conventions |
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430 about `attribute matching |
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431 <http://dicom.nema.org/medical/dicom/2019e/output/chtml/part04/sect_C.2.2.2.html>`__. |
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432 |
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433 .. highlight:: bash |
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434 |
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435 Here is a sample call to retrieve all the studies that were last |
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436 updated in 2019 thanks to this Python script:: |
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437 |
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438 $ curl http://localhost:8042/tools/find -d '{"Level":"Study","Query":{},"Expand":true,"Metadata":{"LastUpdate":"^2019.*$"}}' |
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439 |
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440 |
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441 .. _python-paging: |
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442 |
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443 Implementing basic paging |
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444 ......................... |
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445 |
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446 As explained in the FAQ, the :ref:`Orthanc Explorer interface is |
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447 low-level <improving-interface>`, and is not adapted for |
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448 end-users. One common need is to implement paging of studies, which |
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449 calls for server-side sorting of studies. This can be done using the |
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450 following sample Python plugin that registers a new route |
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451 ``/sort-studies`` in the REST API of Orthanc: |
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452 |
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453 .. literalinclude:: python/paging.py |
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454 :language: python |
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455 |
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456 .. highlight:: bash |
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457 |
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458 Here is a sample call to this new REST route, that could be issued by |
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459 any JavaScript framework (the ``json_pp`` command-line pretty-prints a |
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460 JSON file):: |
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461 |
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462 $ curl http://localhost:8042/sort-studies | json_pp |
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463 |
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464 This route also implement paging (i.e. it can limit and offset the |
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465 returned studies):: |
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466 |
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467 $ curl 'http://localhost:8042/sort-studies?offset=2&limit=2' | json_pp |
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468 |
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469 Obviously, this basic sample can be improved in many ways. To improve |
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470 performance, one could for instance cache the result of |
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471 ``/studies?expand`` in memory by :ref:`listening to changes |
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472 <python-changes>` in the list of studies |
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473 (cf. ``orthanc.ChangeType.NEW_STUDY`` and |
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474 ``orthanc.ChangeType.DELETED``). |
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475 |
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476 |
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477 .. _python_excel: |
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478 |
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479 Creating a Microsoft Excel report |
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480 ................................. |
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481 |
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482 As Orthanc plugins have access to any installed Python module, it is |
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483 very easy to implement a server-side plugin that generates a report in |
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484 the Microsoft Excel ``.xls`` format. Here is a working example: |
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485 |
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486 .. literalinclude:: python/excel.py |
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487 :language: python |
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488 |
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489 If opening the ``http://localhost:8042/report.xls`` URI, this Python |
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490 will generate a workbook with one sheet that contains the list of |
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491 studies, with the patient ID, the patient name and the study |
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492 description. |
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493 |
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494 |
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495 .. _python_authorization: |
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496 |
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497 Forbid or allow access to REST resources (authorization, new in 3.0) |
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498 .................................................................... |
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499 |
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500 The following Python script installs a callback that is triggered |
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501 whenever the HTTP server of Orthanc is accessed: |
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502 |
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503 .. literalinclude:: python/authorization-1.py |
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504 :language: python |
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505 |
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506 |
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507 If access is not granted, the ``Filter`` callback must return |
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508 ``False``. As a consequence, the HTTP status code would be set to |
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509 ``403 Forbidden``. If access is granted, the ``Filter`` must return |
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510 ``true``. The ``request`` argument contains more information about the |
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511 request (such as the HTTP headers, the IP address of the caller and |
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512 the GET arguments). |
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513 |
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514 Note that this is similar to the ``IncomingHttpRequestFilter()`` |
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515 callback that is available in :ref:`Lua scripts <lua-filter-rest>`. |
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516 |
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517 Thanks to Python, it is extremely easy to call remote Web services for |
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518 authorization. Here is an example using the ``requests`` library: |
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519 |
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520 .. literalinclude:: python/authorization-2.py |
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521 :language: python |
556
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522 |
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523 This filter could be used together with the following Web service |
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524 implemented using `Node.js |
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525 <https://en.wikipedia.org/wiki/Node.js>`__: |
556
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526 |
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527 .. literalinclude:: python/authorization-node-service.js |
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528 :language: javascript |
556
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529 |
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530 |
708
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531 .. _python_lookup_dictionary: |
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532 |
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533 Lookup DICOM dictionary (new in 3.2) |
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534 .................................... |
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535 |
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536 Python plugins can access the dictionary of the DICOM tags that are |
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537 handled by Orthanc: |
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538 |
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539 .. literalinclude:: python/lookup-dictionary.py |
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540 :language: python |
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541 |
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542 .. highlight:: text |
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543 |
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544 Note how Python introspection is used in order to map the values in |
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545 enumeration ``orthanc.ValueRepresentation`` to a string description of |
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546 the value representation. If started, the plugin above would output |
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547 the following information in the Orthanc logs:: |
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548 |
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549 W0611 14:04:08.563957 PluginsManager.cpp:168] Entry in the dictionary: { |
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550 "Element": 32, |
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551 "Group": 16, |
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552 "MaxMultiplicity": 1, |
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553 "MinMultiplicity": 1, |
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554 "ValueRepresentation": 11 |
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555 } |
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556 W0611 14:04:08.563975 PluginsManager.cpp:168] Name of the value representation: LO |
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557 |
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558 |
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559 .. _python_create_dicom: |
556
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560 |
696 | 561 Creating DICOM instances (new in 3.2) |
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562 ..................................... |
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563 |
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564 The following sample Python script will write on the disk a new DICOM |
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565 instance including the traditional Lena sample image, and will decode |
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566 the single frame of this DICOM instance: |
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567 |
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568 .. literalinclude:: python/create-dicom.py |
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569 :language: python |
695
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570 |
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571 |
706
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572 .. _python_pil_conversions: |
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573 |
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574 Conversions between Orthanc and Python images (new in 3.2) |
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575 .......................................................... |
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576 |
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577 The Python method ``orthanc.Image.GetImageBuffer()`` returns a copy of |
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578 the memory buffer of an image that is handled Orthanc. Conversely, the |
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579 Python function ``orthanc.CreateImageFromBuffer()`` can be used to |
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580 create an Orthanc image from a Python buffer. Taken together, these |
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581 two functions can be used to do bidirectional conversions between |
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582 Orthanc images and Python images. |
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583 |
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584 Here is a full working example using PIL/Pillow that shows how to |
707 | 585 decode one frame of a DICOM instance using Orthanc, then to modify |
586 this image using PIL, and finally to upload the modified image as a | |
587 new DICOM instance: | |
706
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588 |
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589 .. literalinclude:: python/pil-conversions.py |
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590 :language: python |
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591 |
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592 |
697
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593 .. _python_dicom_scp: |
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594 |
697
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595 Handling DICOM SCP requests (new in 3.2) |
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596 ........................................ |
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597 |
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598 Starting with release 3.2 of the Python plugin, it is possible to |
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599 replace the C-FIND SCP and C-MOVE SCP of Orthanc by a Python |
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600 script. This feature can notably be used to create a custom DICOM |
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601 proxy. Here is a minimal example: |
697
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602 |
704
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603 .. literalinclude:: python/dicom-find-move-scp.py |
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604 :language: python |
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605 |
697
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606 |
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607 .. highlight:: text |
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608 |
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609 In this sample, the C-FIND SCP will send one single answer that |
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610 reproduces the values provided by the SCU:: |
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611 |
699 | 612 $ findscu localhost 4242 -S -k QueryRetrieveLevel=STUDY -k PatientName=TEST -k SeriesDescription= |
697
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613 I: --------------------------- |
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614 I: Find Response: 1 (Pending) |
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615 I: |
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616 I: # Dicom-Data-Set |
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617 I: # Used TransferSyntax: Little Endian Explicit |
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618 I: (0008,0005) CS [ISO_IR 100] # 10, 1 SpecificCharacterSet |
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619 I: (0008,0052) CS [HELLO0-STUDY] # 12, 1 QueryRetrieveLevel |
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620 I: (0008,103e) LO [HELLO1- ] # 8, 1 SeriesDescription |
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621 I: (0010,0010) PN [HELLO2-TEST ] # 12, 1 PatientName |
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622 I: |
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623 |
698 | 624 A more realistic Python script could for instance call the route |
625 ``/modalities/{...}/query`` in the :ref:`REST API <rest-find-scu>` of | |
626 Orthanc using ``orthanc.RestApiPost()``, in order to query the content | |
627 a remote modality through a second C-FIND SCU request (this time | |
628 issued by Orthanc as a SCU). | |
629 | |
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630 The C-MOVE SCP can be invoked as follows:: |
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631 |
699 | 632 $ movescu localhost 4242 -aem TARGET -aec SOURCE -aet MOVESCU -S -k QueryRetrieveLevel=IMAGE -k StudyInstanceUID=1.2.3.4 |
697
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633 |
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634 The C-MOVE request above would print the following information in the |
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635 Orthanc logs:: |
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636 |
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637 W0610 18:30:36.840865 PluginsManager.cpp:168] C-MOVE request to be handled in Python: { |
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638 "AccessionNumber": "", |
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639 "Level": "INSTANCE", |
699 | 640 "OriginatorAET": "MOVESCU", |
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641 "OriginatorID": 1, |
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642 "PatientID": "", |
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643 "SOPInstanceUID": "", |
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644 "SeriesInstanceUID": "", |
699 | 645 "SourceAET": "SOURCE", |
697
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646 "StudyInstanceUID": "1.2.3.4", |
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647 "TargetAET": "TARGET" |
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648 } |
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649 |
710 | 650 It is now up to your Python callback to process the C-MOVE SCU request, |
697
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651 for instance by calling the route ``/modalities/{...}/store`` in the |
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652 :ref:`REST API <rest-store-scu>` of Orthanc using |
700
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653 ``orthanc.RestApiPost()``. It is highly advised to create a Python |
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654 thread to handle the request, in order to avoid blocking Orthanc as |
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655 much as possible. |
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656 |
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657 |
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658 .. _python_worklists: |
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659 |
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660 Handling worklist SCP requests (new in 3.2) |
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661 ........................................... |
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662 |
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663 Starting with release 3.2 of the Python plugin, it is possible to |
701
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664 answer :ref:`worklist queries <worklist>` using a Python script. This |
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665 is especially useful to easily create a bridge between Orthanc, |
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666 HL7/FHIR messages and RIS systems. Indeed, Python provides many tools |
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667 to handle HL7 such as `python-hl7 library |
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668 <https://python-hl7.readthedocs.io/en/latest/>`__. |
700
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669 |
973 | 670 The following Python script reproduces features similar to the |
700
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671 :ref:`sample modality worklists plugin <worklists-plugin>`: |
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672 |
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673 .. literalinclude:: python/worklist.py |
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674 :language: python |
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675 |
701
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676 .. highlight:: text |
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677 |
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678 Here is the result of this plugin on a sample call:: |
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679 |
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680 $ findscu -W -k "ScheduledProcedureStepSequence[0].Modality=MR" 127.0.0.1 4242 |
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681 I: --------------------------- |
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682 I: Find Response: 1 (Pending) |
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683 I: |
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684 I: # Dicom-Data-Set |
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685 I: # Used TransferSyntax: Little Endian Explicit |
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686 I: (0008,0005) CS [ISO_IR 100] # 10, 1 SpecificCharacterSet |
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687 I: (0040,0100) SQ (Sequence with explicit length #=1) # 18, 1 ScheduledProcedureStepSequence |
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688 I: (fffe,e000) na (Item with explicit length #=1) # 10, 1 Item |
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689 I: (0008,0060) CS [MR] # 2, 1 Modality |
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690 I: (fffe,e00d) na (ItemDelimitationItem for re-encoding) # 0, 0 ItemDelimitationItem |
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691 I: (fffe,e0dd) na (SequenceDelimitationItem for re-encod.) # 0, 0 SequenceDelimitationItem |
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692 I: |
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693 I: --------------------------- |
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694 I: Find Response: 2 (Pending) |
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695 I: |
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696 I: # Dicom-Data-Set |
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697 I: # Used TransferSyntax: Little Endian Explicit |
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698 I: (0008,0005) CS [ISO_IR 100] # 10, 1 SpecificCharacterSet |
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699 I: (0040,0100) SQ (Sequence with explicit length #=1) # 18, 1 ScheduledProcedureStepSequence |
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700 I: (fffe,e000) na (Item with explicit length #=1) # 10, 1 Item |
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701 I: (0008,0060) CS [MR] # 2, 1 Modality |
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702 I: (fffe,e00d) na (ItemDelimitationItem for re-encoding) # 0, 0 ItemDelimitationItem |
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703 I: (fffe,e0dd) na (SequenceDelimitationItem for re-encod.) # 0, 0 SequenceDelimitationItem |
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704 I: |
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705 |
727 | 706 |
707 .. _pynetdicom: | |
708 | |
709 Replacing DICOM SCP of Orthanc by pynetdicom | |
710 ............................................ | |
711 | |
712 .. highlight:: json | |
713 | |
714 Thanks to Python plugins, it is also possible to replace the built-in | |
715 DICOM SCP of Orthanc by `pynetdicom | |
716 <https://pydicom.github.io/pynetdicom/stable/examples/storage.html>`__ | |
717 so as to customize how the DICOM protocol is handled. Firstly, in the | |
718 configuration file, make sure to disable the Orthanc SCP by setting | |
719 ``DicomServerEnabled`` to ``false``:: | |
720 | |
721 { | |
722 "Plugins" : [ "." ], | |
723 "PythonScript" : "pynetdicom.py", | |
724 "DicomServerEnabled" : false | |
725 } | |
726 | |
727 Secondly, here a basic plugin illustrating how to start and stop the | |
728 pynetdicom server, and handle incoming C-STORE requests: | |
729 | |
730 .. literalinclude:: python/pynetdicom.py | |
731 :language: python | |
732 | |
733 As can be seen in this listing, whenever the pynetdicom receives an | |
734 incoming C-STORE request, it makes a POST call to the URI | |
735 ``/instances`` in the REST API of Orthanc in order to store the | |
736 embedded DICOM dataset into Orthanc. Obviously, one can build more | |
737 complex DICOM servers by handling more messages than C-STORE alone. | |
738 | |
747
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739 |
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740 .. _python_exception: |
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741 |
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742 Catching exceptions |
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743 ................... |
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744 |
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745 Starting with release 3.3 of the Python plugin, the plugin generates a |
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746 Python exception derived from class ``orthanc.OrthancException`` if an |
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747 error is encountered. This exception contains a tuple that provides |
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748 the error code and its textual description. |
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749 |
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750 In releases <= 3.2, the Python plugin raised the `built-in exception |
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751 <https://docs.python.org/3/library/exceptions.html>`__ ``ValueError``. |
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752 |
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753 Here is an example showing how to catch exceptions: |
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754 |
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755 .. literalinclude:: python/exception.py |
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756 :language: python |
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757 |
556
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Python sample: "Forbid or allow access to REST resources (authorization)", deprecating advanced authorization plugin
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758 |
748
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759 .. _python_storage_area: |
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760 |
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761 Implementing a custom storage area (new in 3.3) |
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762 ............................................... |
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763 |
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764 Starting with release 3.3 of the Python plugin, it is possible to |
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765 replace the built-in storage area of Orthanc (that writes |
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766 :ref:`attachments <metadata>` onto the filesystem in the |
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767 ``OrthancStorage`` folder by default), by providing 3 Python callbacks |
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768 to the ``orthanc.RegisterStorageArea()`` function: |
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769 |
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770 * The first callback indicates how to **create** an attachment into |
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771 the storage area. |
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772 |
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773 * The second callback indicates how to **read** an attachment from the |
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774 storage area. |
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775 |
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776 * The third callback indicates how to **remove** an attachment out of |
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777 the storage area. |
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778 |
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779 This feature can be used to quickly and easily interface Orthanc with |
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780 any `object-based storage |
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781 <https://en.wikipedia.org/wiki/Object_storage>`__ technology available |
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782 in Python (such as `Ceph |
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783 <https://en.wikipedia.org/wiki/Ceph_(software)>`__ or AWS S3-like |
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784 tools). The performance will not be as good as a C/C++ native plugin |
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|
785 (cf. the :ref:`cloud storage <object-storage>`, the :ref:`PostgreSQL |
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|
786 <postgresql>` and the :ref:`MySQL <mysql>` plugins), but it can be |
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Implementing a custom storage area in Python
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|
787 used for prototyping or for basic setups. |
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Implementing a custom storage area in Python
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788 |
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Implementing a custom storage area in Python
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diff
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|
789 Here is a full, self-explaining sample: |
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Implementing a custom storage area in Python
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diff
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790 |
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791 .. literalinclude:: python/storage-area.py |
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792 :language: python |
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Implementing a custom storage area in Python
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793 |
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Implementing a custom storage area in Python
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794 The ``contentType`` can be used to apply a special treatment to some |
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795 types of attachments (typically, DICOM instances). This parameter |
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796 takes its values from the ``orthanc.ContentType`` enumeration. |
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Implementing a custom storage area in Python
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797 |
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Implementing a custom storage area in Python
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798 |
799
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python sample for ReceivedInstanceCallback
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799 .. _python_received_instance: |
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python sample for ReceivedInstanceCallback
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800 |
819
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801 Modifying received instances (new in 4.0) |
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802 ......................................... |
799
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803 |
819
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804 Starting with release 4.0 of the Python plugin, it is possible to |
799
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805 modify instances received by Orthanc before they are stored in |
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806 the storage. This is usually easier to perform modification at this |
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807 stage compared to using the ``/modify`` route once the instances |
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808 has been stored. |
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python sample for ReceivedInstanceCallback
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809 |
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python sample for ReceivedInstanceCallback
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810 .. literalinclude:: python/received-instance-callback.py |
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811 :language: python |
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812 |
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813 |
852
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FilterIncomingCStoreInstance python sample
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814 Filtering incoming C-Store instances (new in 4.0) |
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FilterIncomingCStoreInstance python sample
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815 ................................................. |
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FilterIncomingCStoreInstance python sample
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816 |
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FilterIncomingCStoreInstance python sample
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817 Starting with release 4.0 of the Python plugin, it is possible to |
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FilterIncomingCStoreInstance python sample
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818 filter instances received from C-Store and return a specific error |
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|
819 code to the sending modality. |
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FilterIncomingCStoreInstance python sample
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|
820 |
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FilterIncomingCStoreInstance python sample
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821 This can be used, e.g, to implement a quota per modality or return |
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822 an ``out-of-resources`` status if the Orthanc storage is almost full. |
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823 |
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824 .. literalinclude:: python/incoming-cstore-filter.py |
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FilterIncomingCStoreInstance python sample
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825 :language: python |
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|
826 |
799
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827 |
973 | 828 Storage Commitment SCP (new in 4.1) |
829 ................................... | |
830 | |
831 Starting with release 4.1 of the Python plugin, it is possible to | |
832 provide your own implementation of the :ref:`Storage Commitment <storage-commitment>`. | |
833 | |
834 This can be used, e.g, to check that you have backup the orthanc data in a | |
835 long term storage. | |
836 | |
837 .. literalinclude:: python/storage-commitment-default.py | |
838 :language: python | |
839 | |
840 | |
975
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Python plugin: Extending the Orthanc Explorer interface
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841 .. _python_extend_orthanc_explorer: |
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842 |
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843 Extending the Orthanc Explorer interface |
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844 ........................................ |
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845 |
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846 Here is a sample plugin that adds a new button to Orthanc Explorer |
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847 that triggers a Python function: |
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848 |
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849 .. literalinclude:: python/sample-python-button.py |
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850 :language: python |
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|
851 |
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Python plugin: Extending the Orthanc Explorer interface
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|
852 As can be seen in this sample: |
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853 |
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Python plugin: Extending the Orthanc Explorer interface
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854 * The call to ``orthanc.ExtendOrthancExplorer()`` installs the button |
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Python plugin: Extending the Orthanc Explorer interface
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|
855 with JavaScript code that uses the `jQuery Mobile framework |
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|
856 <https://demos.jquerymobile.com/1.1.0/>`__ (as of Orthanc 1.12.1, |
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|
857 version 1.1.0 of jQuery Mobile is used in Orthanc Explorer). |
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Python plugin: Extending the Orthanc Explorer interface
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|
858 |
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|
859 * If clicking on the button, a GET call to the REST API is made to |
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|
860 ``../execute-python``. The prefix ``../`` stems from the fact that |
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861 Orthanc Explorer is branched inside the ``app/`` folder of the REST |
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Python plugin: Extending the Orthanc Explorer interface
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862 API of Orthanc. |
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863 |
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Python plugin: Extending the Orthanc Explorer interface
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864 * The GET call to ``../execute-python`` executes the |
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865 ``ExecutePython()`` callback function that is written in Python. |
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866 |
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Python plugin: Extending the Orthanc Explorer interface
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|
867 Note that it is only possible to extend Orthanc Explorer 1, which is |
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Python plugin: Extending the Orthanc Explorer interface
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|
868 the built-in Web interface of Orthanc. It is not possible to extend |
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869 the :ref:`Orthanc Explorer 2 <orthanc-explorer-2>` interface. |
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|
870 |
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871 |
351 | 872 Performance and concurrency |
873 --------------------------- | |
874 | |
471
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875 **Important:** This section only applies to UNIX-like systems. The |
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876 ``multiprocessing`` package will not work on Microsoft Windows as the |
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877 latter OS has a different model for `forking processes |
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878 <https://en.wikipedia.org/wiki/Fork_(system_call)>`__. |
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879 |
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880 Using slave processes |
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881 ..................... |
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882 |
351 | 883 Let us consider the following sample Python script that makes a |
702
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884 CPU-intensive computation on a REST callback: |
351 | 885 |
702
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886 .. literalinclude:: python/multiprocessing-1.py |
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887 :language: python |
351 | 888 |
889 .. highlight:: text | |
890 | |
891 Calling this REST route from the command-line returns the time that is | |
892 needed to compute 30 million times a squared root on your CPU:: | |
893 | |
894 $ curl http://localhost:8042/computation | |
895 computation done in 4.208 seconds | |
896 | |
897 Now, let us call this route three times concurrently (we use bash):: | |
898 | |
899 $ (curl http://localhost:8042/computation & curl http://localhost:8042/computation & curl http://localhost:8042/computation ) | |
900 computation done in 11.262 seconds | |
901 computation done in 12.457 seconds | |
902 computation done in 13.360 seconds | |
903 | |
904 As can be seen, the computation time has tripled. This means that the | |
905 computations were not distributed across the available CPU cores. | |
906 This might seem surprising, as Orthanc is a threaded server (in | |
907 Orthanc, a pool of C++ threads serves concurrent requests). | |
908 | |
909 The explanation is that the Python interpreter (`CPython | |
910 <https://en.wikipedia.org/wiki/CPython>`__ actually) is built on the | |
911 top of a so-called `Global Interpreter Lock (GIL) | |
912 <https://en.wikipedia.org/wiki/Global_interpreter_lock>`__. The GIL is | |
913 basically a mutex that protects all the calls to the Python | |
914 interpreter. If multiple C++ threads from Orthanc call a Python | |
353 | 915 callback, only one can proceed at any given time. Note however that |
916 the GIL only applies to the Python script: The baseline REST API of | |
917 Orthanc is not affected by the GIL. | |
351 | 918 |
919 The solution is to use the `multiprocessing primitives | |
920 <https://docs.python.org/3/library/multiprocessing.html>`__ of Python. | |
921 The "master" Python interpreter that is initially started by the | |
922 Orthanc plugin, can start several `children processes | |
923 <https://en.wikipedia.org/wiki/Process_(computing)>`__, each of these | |
924 processes running a separate Python interpreter. This allows to | |
925 offload intensive computations from the "master" Python interpreter of | |
926 Orthanc onto those "slave" interpreters. The ``multiprocessing`` | |
702
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927 library is actually quite straightforward to use: |
351 | 928 |
702
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929 .. literalinclude:: python/multiprocessing-2.py |
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930 :language: python |
351 | 931 |
932 .. highlight:: text | |
933 | |
934 Here is now the result of calling this route three times concurrently:: | |
935 | |
936 $ (curl http://localhost:8042/computation & curl http://localhost:8042/computation & curl http://localhost:8042/computation ) | |
937 computation done in 4.211 seconds | |
938 computation done in 4.215 seconds | |
939 computation done in 4.225 seconds | |
940 | |
941 As can be seen, the calls to the Python computation now fully run in | |
942 parallel (the time is cut down from 12 seconds to 4 seconds, the same | |
943 as for one isolated request). | |
944 | |
945 Note also how the ``multiprocessing`` library allows to make a fine | |
946 control over the computational resources that are available to the | |
947 Python script: The number of "slave" interpreters can be easily | |
948 changed in the constructor of the ``multiprocessing.Pool`` object, and | |
949 are fully independent of the threads used by the Orthanc server. | |
950 | |
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951 Obviously, an in-depth discussion about the ``multiprocessing`` |
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952 library is out of the scope of this document. There are many |
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953 references available on Internet. Also, note that ``threading`` is not |
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|
954 useful here, as Python multithreading is also limited by the GIL, and |
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|
955 is more targeted at dealing with costly I/O operations or with the |
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956 :ref:`scheduling of commands <python-scheduler>`. |
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957 |
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958 |
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959 Slave processes and the "orthanc" module |
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960 ........................................ |
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961 |
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962 Very importantly, pay attention to the fact that **only the "master" |
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963 Python interpreter has access to the Orthanc SDK**. The "slave" |
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964 processes have no access to the ``orthanc`` module. |
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965 |
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966 You must write your Python plugin so as that all the calls to |
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967 ``orthanc`` are moved from the slaves process to the master |
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968 process. For instance, here is how you would parse a DICOM file in a |
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969 slave process: |
352 | 970 |
702
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971 .. literalinclude:: python/multiprocessing-3.py |
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972 :language: python |
352 | 973 |
974 Communication primitives such as ``multiprocessing.Queue`` are | |
975 available to exchange messages from the "slave" Python interpreters to | |
555
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976 the "master" Python interpreter for more advanced scenarios. |
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977 |
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978 NB: Starting with release 3.0 of the Python plugin, it is possible to |
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979 call the REST API of Orthanc from a slave process in a more direct |
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980 way. The function ``orthanc.GenerateRestApiAuthorizationToken()`` can |
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981 be used to create an authorization token that provides full access to |
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982 the REST API of Orthanc (without have to set credentials in your |
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983 plugin). Any HTTP client library for Python, such as `requests |
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984 <https://requests.readthedocs.io/en/master/>`__, can then be used to |
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985 access the REST API of Orthanc. Here is a minimal example: |
352 | 986 |
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987 .. literalinclude:: python/multiprocessing-4.py |
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988 :language: python |