问题描述
我已经创建了一个 SAS 存储过程，并且还能够通过 SAS 管理控制台创建一个 Web 服务，
I have a created a SAS Stored process and was also able to create a web service through SAS Management Console for the same ,
我想通过 Python 在 Web 服务中执行该存储过程，并希望将存储过程生成的数据集存储在 Python 中的数据框中.
I want to execute that stored process in the web service through Python , and would like to store the data set generated by the stored process in a data frame in Python .
如果可以，我将非常感激该过程是可能的，如果是，我应该如何进行.
I would really appreciate if I could that the process is possible , and If yes , how should I proceed with it.
推荐答案
我对python不太了解，但是貌似可以接收JSON格式的数据(见Python - 解析 JSON 数据集)
I don't know much about python but it appears that it is possible to receive data in JSON format (see Python - Parsing JSON Data Set)
SASjs 框架使得在 SAS 9 和 Viya 上构建 SAS Web 服务变得超级容易，例如:
The SASjs framework makes it super easy to build SAS web services on both SAS 9 and Viya, eg:
%let appLoc=/Public/app; /* Configure Metadata or Viya Folder location here */
filename mc url "https://raw.githubusercontent.com/sasjs/core/main/all.sas";
%inc mc; /* compile macros */
filename ft15f001 temp;
parmcards4;
%webout(OPEN)
proc sql;
create table areas as select distinct area from sashelp.springs;
%webout(OPEN)
%webout(OBJ,areas)
%webout(CLOSE)
;;;;
%mp_createwebservice(path=&appLoc/common,name=appinit)
这篇关于在 Python 中提取 SAS 存储过程 Web 服务并将其存储在数据框中的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持跟版网！