Develop Reference

How to automate SAS enterprise guide reports with Python Script?

I tried with SASpy but it's not working. I am able to open the SAS .egp file but not able to run the multiple scripts within in sequence.
import os, sys, subprocess
def OpenProject(sas_exe, egp_path):
sasExe = sas_exe
sasEGpath = egp_path
subprocess.call([sasExe, sasEGpath])
sas_exe = path\path\
egp_path = path\path\path\
OpenProject(sas_exe, egp_path)

This depends a bit on exactly what the workflow is. A few side notes, then the full solution.
First: EGP is not really intended to store production processes, in my opinion. EGP should really be used for development, then production is done with .sas (text) files. EGP can directly store the nodes as .sas files; ask a new question about that if you want to know more, but it's pretty easy to figure out. Best practice is to have EGP save the code modules as .sas files, then run those - SASPy will easily do that for you.
Second: If you use SAS's built-in Git connectivity, then you can do this a bit more easily I suspect. Consider doing that if you already use Git for your other processes. Again, then you end up with a .sas file, and can directly run that via SASPy.
So: how can you do this in Python, with the assumption you do have to use the .egp itself, without too many different moving parts? The key here is the .egp format. EGP is a container file, which is actually a .zip format container that has in it, among other things, all of the SAS code you want to run, as text. Text in xml format, but still, text.
You can write a python program that opens the .egp as a .zip file, using the zipfile library, and then use xml.etree.ElementTree to parse the project.xml file inside that project. Exactly what you do from there depends on your particular details, and is well out of scope for a Stack Overflow answer, but if you do better visually you can simply rename the .egp to .zip and then open in unzip program of your choice, then browse project.xml in your text editor, and find the nodes and code related to those nodes.
You can then extract the .sas code as text, and submit it directly via SASPy, or extract it to a .sas file and then submit that however you prefer (SASPy or something else).
I do something similar to this for a project - I don't actually run code from it, I'm just parsing it to verify that the correct programs were synced from the EGP to production - but it would be trivial to actually submit the code from what I've written, which is about 50 lines of code total. I may write a SGF paper this year or next year on this topic, in which case I'll try and remember to submit it here - or you can head over to my github page and see if it's there (in the future!).

Abaqus python scripting documentation, how to work with it?

I'm new to python scripting in Abaqus. I'm trying to make sense of the documentation but I don't get it. So far I found the following documentation:
This abaqus scripting user guide: http://abaqus.software.polimi.it/v6.13/books/cmd/default.htm?startat=pt02ch06s01.html
This abaqus scripting reference document: http://abaqus.software.polimi.it/v6.13/books/ker/default.htm
Now let's say that I want to know more about the OdbMeshElementArray class. How do I do this?
If I use the search function on the site than it just gives 0 hits.
If I download the pdf of the reference guide and I use ctrl+F then I do get hits, but there's no direct way to go to the page explaining specifically more about this class. E.g. I get a lot of hits of this search term in which I'm not interested. I just want to know the attributes and methods of this class.
Any advice?

Abaqus Scripting User Guide is more of a beginner guide, which shows how things can be done. Similar to Getting Started With Abaqus, whereas Abaqus Scripting Reference Guide is the complete list of commands, classes and objects available. Similar to the Abaqus Analysis User Guide
The search function works for me as well, try using Simulia Doc hosted by DSS itself.

I found the documentation for the OdbMeshElement object?
You can use the side bar (on the left) to get the documentation for the other objects then too

Is it possible to import python scripts in Azure?

I have a python script that is written in different files (one for importing, one for calculations, et cetera). These are all in the same folder, and when I need a function from another function I do something like
import file_import
file_import.do_something_usefull()
where, of course, in the file_import there is a function do_something_usefull() that, uhm, does something usefull. How can I accomplish the same in Azure?

I found it out myself. It is documenten on Microsoft's site here.
The steps, very short, are:
Include all the python you want in a .zip
Upload that zip as a dataset
Drag the dataset as the third option parameter in the 'execute python'-block (example below)
execute said function by importing import Hello (the name of the file, not the zip) and running Hello.do_something_usefull()

As reference, there is a similiar answered thread you can refer to, please see Access Azure blog storage from within an Azure ML experiment.

Call python script from Jira while creating an issue

Let say I'm creating an issue in Jira and write the summary and the description. Is it possible to call a python script after these are written that sets the value for another field, depending on the values of the summary and the description?
I know how to create an issue and change fields from a python script using the jira-python module. But I have not find a solution for using a python script while editing/creating the issue manually in Jira. Does anyone have an idea of how I manage that?

I solved the problem by using the Add-on Script runner in Jira. There I created a scripted field in Groovy and called the command prompt and run the python script from there. Here is a simple example of the script
def process = ['cmd', '/c', 'filepathToPython.exe', 'filepathToPythonFile.py'].execute()
process.waitfor()
return p.text
process?.err?.text can be used instead of process.text if one want to see eventual error messages.

Take a look at JIRA webhooks calling a small python based web server?

How to create an internationalized Google App Engine application

I would like to provide my Python GAE website in the user's own language, using only the tools available directly in App Engine. For that, I would like to use GNU gettext files (.po and .mo files).
Has someone successfully combined Python Google App Engine and gettext files? If so, could you please provide the steps you used?
I had started a discussion in GAE's Google group, but haven't been able to extract from it how I'd like to do it: I don't want to add external dependencies, like Babel (suggested in the discussion). I want to use plain vanilla Google App Engine, so no manual update of Django or this kind of stuff.
At first, I will start using the language sent by the browser, so no need to manually force the language by using cookies etc. However, I might add a language changing feature later, once the basic internationalization works.
As a background note to give you more details about what I'm trying to do, I would like to internationalize Issue Tracker Tracker, an open source application I've hosted on Launchpad. I plan to use Launchpad's translation platform (explaining why I'd like to use .mo files). You can have a look at the source code in it's Bazaar branch (sorry no link due to stackoverflow spam prevention limit for new users...)
Thanks for helping me advance on this project!

As my needs were simple, I used a simple hack instead of (unavailable) gettext. I created a file with string translations, translate.py. Approximately like this:
en={}
ru={}
en['default_site_title']=u"Site title in English"
ru['default_site_title']=u"Название сайта по-русски"
Then in the main code I defined a function which returns a dictionary with translations into the most suitable language from the list (the first one to have a translation is used or English):
import translate
def get_messages(languages=[]):
msgs=translate.en
for lang in languages:
if hasattr(translate,lang):
msgs=getattr(translate,lang)
break
return msgs
Usage:
msgs = get_messages(["it","ru","en"])
hi = msgs['hello_message'] % 'yourname'
I also defined a helper function which extracts a list of languages from Accept-Language header.
It's not the most flexible solution, but it doesn't have any external dependencies and works for me (in a toy project). I think translate.py may be generated automatically from gettext files.
In case you want to see more, my actual source is here.

You can use the Django internationalisation tool, like explained here.
They are also saying that there is no easy way to do this.
I hope that helps you :)