Data Attribute Recommendation Python SDK
Data Attribute Recommendation Python SDK
A client SDK for the Data Attribute Recommendation service on SAP Business Technology Platform (SAP BTP). Part of SAP AI Business Services.
Goals of this SDK:
- Enable easy consumption of the Data Attribute Recommendation service
- Provide convenient higher-level abstraction on top of the service APIs
- Serve as reference implementation for other programming languages
- Provide sample notebooks for reference usage of various templates provided by DAR
- NEW: TechED 2020 workshop materials, including a Jupyter notebook!
- Tutorials on Data Attribute Recommendation - Free Trial Available
- Tutorials on this SDK
- Data Attribute Recommendation documentation
- Blog Articles on Data Attribute Recommendation
- Documentation for this SDK
To use the SDK, you will need a recent version of Python. We actively support
and test Python
3.5 3.6 up to Python 3.9. We aim to support all officially supported
Python version. This includes any Python version not
end-of-life in the
Python Developer's Guide. You can check
the Travis builds to see which environments are actively tested.
NOTE: Python 3.5 is end-of-life since September 2021. The SDK will remove support for Python 3.5 at some point after the 0.8.0 release.
virtualenv tools should be installed. See
the installation instructions.
To use the SDK, you will need to have a service instance of the Data Attribute Recommendation service. For existing users of SAP BTP, please see the Initial Setup.
If you are new to SAP BTP and Data Attribute Recommendation, consider one of the following options:
- Free Trial via Tutorials on Data Attribute Recommendation
- SAP Store
- Contact your Sales Representative
Download and Installation
The SDK is installable from the Python Package Index (PyPI). The easiest way
to install the SDK is via pip and virtual environments. With a virtual environment
virtualenv), the installation process is isolated to a single directory and will
not influence any other projects you may have.
If you are familiar with Python and associated tooling, simply execute:
$ python3 -m virtualenv dar-sdk-venv $ source dar-sdk-venv/bin/activate/ (dar-sdk-venv) $ pip install data-attribute-recommendation-sdk
Step by Step
The following instructions assume a Linux or macOS environment. For Windows, the process is similar, but the commands may differ slightly. If in doubt, refer to the Python documentation.
First, create a working directory in your home directory.
$ cd $HOME $ mkdir data-attribute-recommendation-python-sdk/ $ cd data-attribute-recommendation-python-sdk/
Now, create a virtualenv named
$ python3 -m virtualenv dar-sdk-venv
If you receive a message
command not found: python3, then try using the
command instead. If you still receive a message about
command not found, please
ensure that python is installed.
If you observe
No module named virtualenv error messages, make sure that
Now, activate the newly created environment:
$ source dar-sdk-venv/bin/activate (dar-sdk-venv) $
The name of the virtualenv is now part of your shell prompt.
Finally, install the SDK and its dependencies:
(dar-sdk-venv) $ pip install data-attribute-recommendation-sdk
If you receive an error message
command not found: pip, then refer to
Congratulations! You have sucessfully installed the SDK. You may now import the SDK package as a first test:
(dar-sdk-venv) $ python3 >>> from sap.aibus.dar.client.data_manager_constants import DataManagerPaths >>> DataManagerPaths.ENDPOINT_DATASET_COLLECTION '/data-manager/api/v3/datasets'
How to obtain support
For issues with the SDK itself, such as installation problems, please file an issue in Github.
For questions on how to best use the SDK, consider asking a question in the
SAP Community at answers.sap.com with the
Data Attribute Recommendation tag.
When creating your question, add
Data Attribute Recommendation as a primary tag.
For issues experienced using the service, please refer to Getting Support in the main documentation on the SAP Help Portal.
Copyright (c) 2020 SAP SE or an SAP affiliate company. All rights reserved. This file and all other files in this repository are licensed under the Apache License, v 2.0 except as noted otherwise in the LICENSE file.
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