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Hi,
I am trying to set up a software architecture in order to be able to navigate easily between a test environment (where I will try out many methods in DSS) and a production environment without DSS.
The architecture that I want to set up is the following:
The idea is that, in the production environment, the main file will take into account production-specific I/O, while it will use dataiku I/O in the test environment. However, importing another source file in Python DSS is not supported as far as I know.
I saw that you have global variables and scenarii, but they are not flexible enough for me.
My question is therefore : is there any way to do what I want that is integrated in DSS, so without messing with the files in the filesystem?
Best regards,
Jean Creusefond
See the documentation on the Python Environment, you can add .py files in DATA_DIR/lib/python.
You can also look into plugins, to develop a custom recipe that has the same name, within the same plugin ID, but with different rreleases for dev & production.