How to install PyTango on windows to be conda-friendly?

# 6 years ago
Carlos	Hi, I can install PyTango on linux within conda with: conda install -c tango-controls pytango But this does not work on windows. Is there some other conda channel providing pytango conda packages for windows? If not, can someone recommended a way to make PyTango importable from a windows conda environment? Thanks!

# 6 years ago
TCoutinho	Hi Carlos, To my knowledge there is no conda pytango package for windows. PyTango 9.2.1 is available from pypi so a simple: `pip install pytango` from within the conda environment should work. If you need the latest, you can download the installer for your platform here

# 6 years ago
Cyrille	Hello Tiago, Is there a way to get the lastest PyTango release 9.2.3 Windows installer? It seems not to be available yet. Is PyTango for Windows still included in the continuous build process as announced last Tango con? Regards, Cyrille.

# 6 years ago
Andy	Hi Cyrille, PyTango on Windows is part of the continuous integration which runs on appveyor. There was a minor problem recently that appveyor changed their policy about keeping artifacts for longer than 6 months. We have just copied them to github so they can be available for longer. Sebastien (who did all the work) will soon make an announcement how to access them. In the future we will provide conda packets for Windows. Hopefully sometime this summer. Regards Andy

# 6 years ago

Andy

Hi Cyrille,

PyTango on Windows is part of the continuous integration which runs on appveyor. There was a minor problem recently that appveyor changed their policy about keeping artifacts for longer than 6 months. We have just copied them to github so they can be available for longer. Sebastien (who did all the work) will soon make an announcement how to access them.

In the future we will provide conda packets for Windows. Hopefully sometime this summer.

Regards

Andy

# 6 years ago
Andy	An intermediate version of the continuous integration builds for Windows can be found here: libtango: https://github.com/NexeyaSGara/cppTango/releases/tag/9.2.6 BEWARE: THIS VERSION OF TANGO IS AN INTERMEDIATE VERSION AND MIGHT HAVE ISSUES ! PyTango: https://github.com/NexeyaSGara/pytango/releases/tag/9.2.6 PyTango is version 9.2.3 To use them you need to download the msi (or exe) file for the version of Windows Visual C++ you want. If in doubt try the latest one (VS14). Install the software. Use the default location for the Tango libraries and choose the version of Python you installed with Conda (or other means if you are not using Conda). Start python or ipython and type: `import tango db=tango.DeviceProxy("sys/database/2") db.info()` You should see something like this: `DeviceInfo(dev_class = 'DataBase', dev_type = 'Uninitialised', doc_url = 'Doc URL = http://www.tango-controls.org', server_host = 'lapgotz.esrf.fr', server_id = 'databaseds/2', server_version = 5)` You should now be able to use PyTango. Any feedback on using the above builds will be useful. Build of official releases will follow soon, we are re-organising the CI project for Windows. Andy Edited 6 years ago

# 6 years ago

Andy

An intermediate version of the continuous integration builds for Windows can be found here:

libtango: https://github.com/NexeyaSGara/cppTango/releases/tag/9.2.6

BEWARE: THIS VERSION OF TANGO IS AN INTERMEDIATE VERSION AND MIGHT HAVE ISSUES !

PyTango: https://github.com/NexeyaSGara/pytango/releases/tag/9.2.6

PyTango is version 9.2.3

To use them you need to download the msi (or exe) file for the version of Windows Visual C++ you want. If in doubt try the latest one (VS14). Install the software. Use the default location for the Tango libraries and choose the version of Python you installed with Conda (or other means if you are not using Conda). Start python or ipython and type:

import tango
db=tango.DeviceProxy("sys/database/2")
db.info()

You should see something like this:

DeviceInfo(dev_class = 'DataBase', dev_type = 'Uninitialised', doc_url = 'Doc URL = http://www.tango-controls.org', server_host = 'lapgotz.esrf.fr', server_id = 'databaseds/2', server_version = 5)

You should now be able to use PyTango.

Any feedback on using the above builds will be useful.

Build of official releases will follow soon, we are re-organising the CI project for Windows.

Andy

Edited 6 years ago

# 6 years ago
Cyrille	Hi Andy, Thank you very much for the precious information. We are using both Windows and Linux tango distribs, I will let you know if it went successfully. Regards, Cyrille

# 6 years ago
Jimmy	Hi I try to build PyTango-9.2.3 with libtango_9.3.1_v120_x64 (download from https://ci.appveyor.com/project/bourtemb/cpptango-tt3w8/branch/tango-9-lts , currently update to libtango_9.3.2_v120_x64) on Windows10 + VS2013, but failed as output: ..\..\ext\server\command.cpp(304): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\server\command.cpp(327): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\device_data.cpp(200): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\device_data.cpp(210): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\device_pipe.cpp(141): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\device_proxy.cpp(299): error C2065: 'DOIT_ARRAY' : undeclared identifier ..\..\ext\server\pipe.cpp(309): error C2065: 'DOIT_ARRAY' : undeclared identifier but build with tango-9.2.2 is ok! search 'DOIT_ARRAY' in pytango-9.2.3 source code, found that 'DOIT_ARRAY' only in ext/tgutils.h file, but i can not find it's declaration. i also found that from pytango-9.2.2, ext/tgutils.h file had some change, added: `#if TANGO_VERSION_NB > 90205 #define __TANGO_DVBA __TANGO_DEPEND_ON_TYPE_AUX_ID(DEVVAR_BOOLEANARRAY, DOIT_ARRAY) #else #define __TANGO_DVBA #endif` and replaced: `/* __TANGO_DEPEND_ON_TYPE_AUX_ID(DEVVAR_BOOLEANARRAY, DOIT_ARRAY) */\` with `__TANGO_DVBA \` but i can not get what that meaning for tango-9.2.5 above Edited 6 years ago

# 6 years ago

Jimmy

Hi

I try to build PyTango-9.2.3 with libtango_9.3.1_v120_x64 (download from https://ci.appveyor.com/project/bourtemb/cpptango-tt3w8/branch/tango-9-lts , currently update to libtango_9.3.2_v120_x64) on Windows10 + VS2013, but failed as output:

..\..\ext\server\command.cpp(304): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\server\command.cpp(327): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\device_data.cpp(200): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\device_data.cpp(210): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\device_pipe.cpp(141): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\device_proxy.cpp(299): error C2065: 'DOIT_ARRAY' : undeclared identifier
..\..\ext\server\pipe.cpp(309): error C2065: 'DOIT_ARRAY' : undeclared identifier

but build with tango-9.2.2 is ok!

search 'DOIT_ARRAY' in pytango-9.2.3 source code, found that 'DOIT_ARRAY' only in ext/tgutils.h file, but i can not find it's declaration. i also found that from pytango-9.2.2, ext/tgutils.h file had some change, added:

#if TANGO_VERSION_NB > 90205
#define __TANGO_DVBA __TANGO_DEPEND_ON_TYPE_AUX_ID(DEVVAR_BOOLEANARRAY, DOIT_ARRAY)
#else
#define __TANGO_DVBA
#endif

and replaced:

/*        __TANGO_DEPEND_ON_TYPE_AUX_ID(DEVVAR_BOOLEANARRAY, DOIT_ARRAY) */\

with

        __TANGO_DVBA \

but i can not get what that meaning for tango-9.2.5 above

Edited 6 years ago

# 6 years ago
Carlos	Hi, Sorry for the silence. I expected to get automated notifications on replies to this thread since I started it but it is not the case, so I missed your replies. Just to comment on Tiago's suggestion: I tried with pip and I got the expected problems when it tried to compile from the latest tarball. Then I tried using `pip install –only-binary :all: pytango` and it didn't work (could not find suitable target). The same thing happened when I tried forcing the version to the last one in pypi with a windows binary (9.2.1) So, I'll try with Andy's suggestion of using the msi and choosing the python from conda (as soon as I get a windows machine to try it on again) Thanks for the replies!

# 6 years ago

Carlos

Hi,
Sorry for the silence. I expected to get automated notifications on replies to this thread since I started it but it is not the case, so I missed your replies.

Just to comment on Tiago's suggestion: I tried with pip and I got the expected problems when it tried to compile from the latest tarball. Then I tried using

pip install –only-binary :all: pytango

and it didn't work (could not find suitable target).
The same thing happened when I tried forcing the version to the last one in pypi with a windows binary (9.2.1)

So, I'll try with Andy's suggestion of using the msi and choosing the python from conda (as soon as I get a windows machine to try it on again)

Thanks for the replies!