Getting SAS script to run run from Python using SASPy

[supp]

Hello, I am new to using Python. I developed a SAS program using Enterprise Guide on my windows devise. I would like to execute this program via a notebook in Jupyter Lab using Python 3.5.2. The notebook is running on a linux server.

I uploaded my .sas file to the linux server of the Jupyter notebook. I can successfully connect and create a SAS session on our Grid environment. The SAS session runs on a linux server. After installing and importing SASPY I try to submit the SAS script/file as follows:

sas.submit('/users/myuserid/files/SAS_filename.sas')

The program starts and runs for a while. It successfully creates librefs, then after the first data step I get this error:

3                                                          The SAS System                            08:16 Tuesday, October 29, 2019

21         ods listing close;ods html5 (id=saspy_internal) file=_tomods1 options(bitmap_mode='inline') device=svg style=HTMLBlue;
21       ! ods graphics on / outputfmt=png;
NOTE: Writing HTML5(SASPY_INTERNAL) Body file: _TOMODS1
22         ;*';*";*/;
23         /user/myuserid/files/SAS_filename.sas
           _
           180
ERROR 180-322: Statement is not valid or it is used out of proper order.

I am not sure what this means or where to start with this. None of the ODS code is in my program. Any ideas as to what is happening here?

[Tom]

From the log snippet you posted it looks like SASpy is considering the string you gave as the actual SAS code to run. Not the name of a file.  So just change it to a valid SAS command.  Like:

sas.submit('%include "/users/myuserid/files/SAS_filename.sas";')

[FriedEgg · Accepted solution]

See the SASPy API Reference

https://sassoftware.github.io/saspy/api.html#saspy.SASsession.submit

Using %include as Tom suggests would presume that Jupyter, where you said you uploaded the code, is the same machine where you are submitting to SAS.

Two additional options you have:

1. Ditch the .sas file and put it's contents directly into your notebook as such:

results_dict = sas.submit(
             """
             libname tera teradata server=teracop1 user=user pw=pw;
             proc print data=tera.dsname (obs=10); run;
             """
             )

2. Read the file contents into Python and then submit:

code = open('/users/myuserid.files/SAS_filename.sas').read()
results_dict = sas.submit(code)

[supp]

Thanks @FriedEgg. In fact the Jupyter notebook and the SAS Grid are not on the same machine. So this was another problem. Both your solutions worked.

[supp]

@Tom, thanks for the assist. Indeed I did not submit a valid SAS code.