The Seeq SDK for Python
The seeq Python library is used to interface with Seeq Server (http://www.seeq.com).
pip install seeq to make it available for import.
The Spy module is the best choice if you're trying to any of the following:
- Search for signals, conditions, scalars, assets
- Pull data out of Seeq
- Import data in a programmatic way (when Seeq Workbench's CSV Import capability won't cut it)
- Calculate new data in Python and push it into Seeq
- Create an asset model
To start exploring the Spy module, do the following commands in Jupyter:
from seeq import spy spy.docs.copy()
Your Jupyter folder will now contain a
Spy Documentation folder that has a Tutorial and Command Reference
notebook that will walk you through common activities.
For other activities, you may need to use the SDK module described below.
The Seeq SDK module is a set of Python bindings for the Seeq Server REST API. You can experiment with the REST API by selecting the API Reference menu item in the upper-right "hamburger" menu of Seeq Workbench.
Login is accomplished with the following pattern:
import seeq import getpass api_client = seeq.sdk.ApiClient('http://localhost:34216/api') # Change this to False if you're getting errors related to SSL seeq.sdk.Configuration().verify_ssl = True auth_api = seeq.sdk.AuthApi(api_client) auth_input = seeq.sdk.AuthInputV1() auth_input.username = raw_input('Username:').rstrip().lower() auth_input.password = getpass.getpass() auth_input.auth_provider_class = "Auth" auth_input.auth_provider_id = "Seeq" auth_api.login(body=auth_input)
api_client object is then used to construct any API object you need, such as
seeq.sdk.ItemsApi. Each of the root
endpoints that you see in the API Reference webpage corresponds to an
In case you are looking for the Gencove package, it is available here: https://pypi.org/project/gencove/
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