As part of the XDMoD Data Analytics Framework, this Python package provides API access to the data warehouse of an instance of XDMoD version ≥10.5.
The package can be installed from PyPI via pip install xdmod-data
.
It has dependencies on NumPy, Pandas, Plotly, and Requests.
Example usage is documented through Jupyter notebooks in the xdmod-notebooks repository.
Use of the Data Analytics Framework requires an API token. To obtain an API token, follow the steps below to obtain an API token from the XDMoD portal.
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First, if you are not already signed in to the portal, sign in in the top-left corner:
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Next, click the "My Profile" button in the top-right corner:
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The "My Profile" window will appear. Click the "API Token" tab:
Note: If the "API Token" tab does not appear, it means this instance of XDMoD is not configured for the Data Analytics Framework.
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If you already have an existing token, delete it:
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Click the "Generate API Token" button:
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Copy the token to your clipboard. Make sure to paste it somewhere secure for saving, as you will not be able to see the token again once you close the window:
Note: If you lose your token, simply delete it and generate a new one.
We welcome your feedback and feature requests for the XDMoD Data Analytics Framework via email: [email protected].
For support, please see this page. If you email for support, please include the following:
xdmod-data
version number, obtained by running this Python code:from xdmod_data import __version__ print(__version__)
- Operating system version.
- A description of the problem you are experiencing.
- Detailed steps to reproduce the problem.
xdmod-data
is released under the GNU Lesser General Public License ("LGPL") Version 3.0. See the LICENSE file for details.
When referencing XDMoD, please cite the following publication:
Jeffrey T. Palmer, Steven M. Gallo, Thomas R. Furlani, Matthew D. Jones, Robert L. DeLeon, Joseph P. White, Nikolay Simakov, Abani K. Patra, Jeanette Sperhac, Thomas Yearke, Ryan Rathsam, Martins Innus, Cynthia D. Cornelius, James C. Browne, William L. Barth, Richard T. Evans, "Open XDMoD: A Tool for the Comprehensive Management of High-Performance Computing Resources", Computing in Science & Engineering, Vol 17, Issue 4, 2015, pp. 52-62. DOI:10.1109/MCSE.2015.68