Full documentation: https://sassoftware.github.io/python-sasctl
The sasctl package enables easy communication between the SAS Viya platform and a Python runtime. It can be used as a module or as a command line interface.
sasctl.folders.list_folders()
sasctl folders list
sasctl requires the following Python packages be installed. If not already present, these packages will be downloaded and installed automatically.
- requests
- six
The following additional packages are recommended for full functionality:
- swat
- kerberos
pip install sasctl
Functionality that depends on additional packages can be installed using the following:
pip install sasctl[swat]pip install sasctl[kerberos]pip install sasctl[all]
Once the sasctl package has been installed and you have a SAS Viya server to connect t 8000 o, the first step is to establish a session:
>>> from sasctl import Session
>>> with Session(host, username, password):
... pass # do something
sasctl --help
Once a session has been created, all commands target that environment. The easiest way to use sasctl is often to use a pre-defined task, which can handle all necessary communication with the SAS Viya server:
>>> from sasctl import Session, register_model
>>> from sklearn import linear_model as lm
>>> with Session('example.com', authinfo=<authinfo file>):
... model = lm.LogisticRegression()
... register_model(model, 'Sklearn Model', 'My Project')
A slightly more low-level way to interact with the environment is to use the service methods directly:
>>> from pprint import pprint
>>> from sasctl import Session
>>> from sasctl.services import folders
>>> with Session(host, username, password):
... folders = folders.list_folders()
... pprint(folders)
{'links': [{'href': '/folders/folders',
'method': 'GET',
'rel': 'folders',
'type': 'application/vnd.sas.collection',
'uri': '/folders/folders'},
{'href': '/folders/folders',
'method': 'POST',
'rel': 'createFolder',
... # truncated for clarity
'rel': 'createSubfolder',
'type': 'application/vnd.sas.content.folder',
'uri': '/folders/folders?parentFolderUri=/folders/folders/{parentId}'}],
'version': 1}
The most basic way to interact with the server is simply to call REST functions directly, though in general, this is not recommended.
>>> from pprint import pprint
>>> from sasctl import Session, get
>>> with Session(host, username, password):
... folders = get('/folders')
... pprint(folders)
{'links': [{'href': '/folders/folders',
'method': 'GET',
'rel': 'folders',
'type': 'application/vnd.sas.collection',
'uri': '/folders/folders'},
{'href': '/folders/folders',
'method': 'POST',
'rel': 'createFolder',
... # truncated for clarity
'rel': 'createSubfolder',
'type': 'application/vnd.sas.content.folder',
'uri': '/folders/folders?parentFolderUri=/folders/folders/{parentId}'}],
'version': 1}
A few simple examples of common scenarios are listed below. For more complete examples see the examples folder.
Show models currently in Model Manager:
>>> from sasctl import Session
>>> from sasctl.services import model_repository
>>> with Session(host, username, password):
... models = model_repository.list_models()
Register a pure Python model in Model Manager:
>>> from sasctl import Session, register_model
>>> from sklearn import linear_model as lm
>>> with Session(host, authinfo=<authinfo file>):
... model = lm.LogisticRegression()
... register_model(model, 'Sklearn Model', 'My Project')
Register a CAS model in Model Manager:
>>> import swat
>>> from sasctl import Session
>>> from sasctl.tasks import register_model
>>> s = swat.CAS(host, authinfo=<authinfo file>)
>>> astore = s.CASTable('some_astore')
>>> with Session(s):
... register_model('SAS Model', astore, 'My Project')
We welcome contributions!
Please read CONTRIBUTING.md for details on how to submit contributions to this project.
See the LICENSE file for details.