seeq 0.49.4.169

The Seeq SDK for Python

The seeq Python library is used to interface with Seeq Server (http://www.seeq.com).

IMPORTANT:

This module does NOT follow semantic versioning.

The major and minor version of this module needs to match the version of Seeq Server that you are using. (Ignore the "R number" of the Seeq Server version - i.e. "R21", "R22" etc.)

PIP version matching can be used to select the correct version.

Here are some examples:

Seeq Server Version	PIP Install Command
R22.0.46.00	pip install -U seeq~=0.46.0
R22.0.47.02	pip install -U seeq~=0.47.2

The last part of the version of this seeq module (the Z of w.x.y.Z) is referred to as the functional version and refers to the level of functionality (and bug fixes) present in the package for the SPy module. For example, 0.46.0.118 and 0.47.2.118 have the same level of SPy functionality but are built for the respective versions of Seeq Server (R22.0.46.00 and R22.0.47.02).

In order to keep the SPy testing and compatibility matrix manageable, the latest functional versions (v160+) are published only for Seeq Server R22.0.46.xx and higher.

seeq.spy

The Seeq SPy module is a friendly set of functions that are optimized for use with Jupyter, Pandas and NumPy.

The SPy module is the best choice if you're trying to do 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

Use of the SPy module requires Python 3.7 or later.

To start exploring the SPy module, execute the following lines of code 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 more advanced tasks, you may need to use the SDK module described below.

seeq.sdk

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.

The SDK module supports both Python 2.x and Python 3.x, but it is strongly recommended that you use Python 3.x (or later) as Python 2.x is end-of-life.

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()

# Use raw_input() instead of input() if you're using Python 2
auth_input.username = 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)

The api_client object is then used as the argument 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 a seeq.sdk.XxxxxApi class.

Upgrade Considerations

0.49.XX.XXX

In Seeq Server R22.0.49.00, the ability to schedule the update of an Organizer Topic was added. As a result, much of the internals of how Organizer Topic embedded content and date ranges are represented changed.

If you have used spy.workbooks.save() in R22.0.48.XX and earlier to save a set of Organizer Topic workbooks to disk, you will not be able to use those files in R22.0.49.00 and later.

Live Docs must now be specified by a schedule on the TopicDocument object. The @Asset.DateRange decorator no longer honors the Auto Refresh Rate property. To specify a Live Doc, you must specify a schedule dict for a TopicDocument by setting document.schedule['Background'] = False and then specifying a Cron expression like schedule['Cron Schedule'] = '*/30 * * * * *' (every thirty seconds). Alternatively, you can specify a Scheduled Doc by setting document.schedule['Background'] = True.

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In case you are looking for the Gencove package, it is available here: https://pypi.org/project/gencove/