This will contain a simplified SDK to enable easy access to the Interana APIs. Being provided at a best-effort basis. So please use at your risk.
TBD
Python SDK
This can be installed by using pip directly. Dependencies will be installed automatically.
pip install interanasdk
This installs a python module called interanasdk and also, a command line script which allows for easy access to the SDK.
R SDK
TBD
- To access the Python SDK in code, do the following:
/usr/bin/env python
import interanasdk
-
To access the IA Query Client script, there are three positional parameters that need to be provided. In addition, there are optional parameters that can be leveraged as well.
-
To access Interana's Demo Cluster and do a simple count*, do:
ia_query_client tffZR6q0fbVqSBbeuvvLllLMLV0KHbuH+/DjXo9K=ER0PY/qNh+hdjEh+16DcL5Gc=BfHTJ7dE64x06YFWMbtbqtcdO90000 demo2.interana.com music
(note this will only work when you are on the Interana Corporate Network)
A sample output might look like this:
$ ia_query_client.py tffZR6q0fbVqSBbeuvvLllLMLV0KHbuH+/DjXo9K=ER0PY/qNh+hdjEh+16DcL5Gc=BfHTJ7dE64x06YFWMbtbqtcdO90000 demo2.interana.com music
-------------------------------------------
Results recieved from Interana:
-------------------------------------------
{u'rows': [{u'values': [[u'All'], 4058569848.0]}], u'columns': [{u'type': u'array', u'label': [u'result']}, {u'type': u'number', u'label': u'measure_value'}]}
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End of Results
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Simple. Feel free to jump in and contribute code. Some of the immediate next steps are:
- R implementation - work in progress
- MS-Excel (Windows only) implementation
- Jupyter Notebook
- Perl Implementation
The SDK is provided on a best-effort basis only. All support will be community-driven only.
We have adopted the MIT license (see the file LICENSE.txt) for this project.