Difference between revisions of "Statistical Algorithms Importer: Python Project"
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:After the [https://wiki.gcube-system.org/gcube/Statistical_Algorithms_Importer:_Create_Software software creation phase] a Main.R file and a Taget folder are created | :After the [https://wiki.gcube-system.org/gcube/Statistical_Algorithms_Importer:_Create_Software software creation phase] a Main.R file and a Taget folder are created | ||
[[Image:StatisticalAlgorithmsImporter_PythonBlackBox4.png|thumb|center|800px|Python Create, SAI]] | [[Image:StatisticalAlgorithmsImporter_PythonBlackBox4.png|thumb|center|800px|Python Create, SAI]] | ||
| + | |||
| + | ==Inheritance of Global and Infrastructure Variables== | ||
| + | |||
| + | at each run of the process the '''globalvariables.csv''' file is created locally to the process (i.e. it can be read as ./globalvariables.csv), which contains the following global variables that are meant to allow the process to properly contact the e-Infrastructure services: | ||
| + | |||
| + | * '''gcube_username''' (the user who run the computation, e.g. gianpaolo.coro) | ||
| + | |||
| + | * '''gcube_context''' (the VRE the process was run in, e.g. d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab) | ||
| + | |||
| + | * '''gcube_token''' (the token of the user for the VRE, e.g. 1234-567-890) | ||
| + | |||
| + | The format of the CSV file is like the one of the following example: | ||
| + | |||
| + | <source lang='vim'> | ||
| + | globalvariable,globalvalue | ||
| + | gcube_username,gianpaolo.coro | ||
| + | gcube_context,/d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab | ||
| + | gcube_token,1234-567-890 | ||
| + | </source> | ||
== Example Code == | == Example Code == | ||
Revision as of 16:40, 12 December 2017
- This page explains how to create a Python project using the Statistical Algorithms Importer (SAI) portlet.
Project Configuration
- Define project's metadata
- Add input and output parameters and click on "Set Code" to indicate the main file to execute (i.e. the .py file)
- Add information about the running environment (e.g. Python version etc.)
- After the software creation phase a Main.R file and a Taget folder are created
Inheritance of Global and Infrastructure Variables
at each run of the process the globalvariables.csv file is created locally to the process (i.e. it can be read as ./globalvariables.csv), which contains the following global variables that are meant to allow the process to properly contact the e-Infrastructure services:
- gcube_username (the user who run the computation, e.g. gianpaolo.coro)
- gcube_context (the VRE the process was run in, e.g. d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab)
- gcube_token (the token of the user for the VRE, e.g. 1234-567-890)
The format of the CSV file is like the one of the following example:
globalvariable,globalvalue gcube_username,gianpaolo.coro gcube_context,/d4science.research-infrastructures.eu/gCubeApps/RPrototypingLab gcube_token,1234-567-890
Example Code
- Python code in sample:
# # author Giancarlo Panichi # # HelloWorld # import sys for arg in sys.argv: 1 out_file = open("helloworld.txt","w") out_file.write("Hello World\n"+arg+"\n") out_file.close()
