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hcprequestanalytics reads HTTP access logs from log packages created by Hitachi Content Platform (HCP), loads the content into a SQL database and runs SQL-queries against it.
It to provides information about topics like:
It can be easily extended with individual queries (see :doc:30_queries
).
Results are generated as a multi-sheet XLSX workbook per default; optionally, CSV files can be requested.
You need to have at least Python 3.5.0 installed to run hcprequestanalytics.
To be found at readthedocs.io <http://hcprequestanalytics.readthedocs.io>
_
Install hcprequestanalytics by running::
$ pip install hcprequestanalytics
-or-
get the source from
gitlab.com <https://gitlab.com/simont3/hcprequestanalytics>
_,
unzip and run::
$ python setup.py install
-or-
Fork at gitlab.com <https://gitlab.com/simont3/hcprequestanalytics>
_
<https://gitlab.com/simont3/hcprequestanalytics>
_<https://gitlab.com/simont3/hcprequestanalytics/issues>
_If you've found any bugs, please let me know via the Issue Tracker;
if you have comments or suggestions, send an email to <sw@snomis.eu>
_
The MIT License (MIT)
Copyright (c) 2017-2019 Thorsten Simons (sw@snomis.eu)
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
FAQs
hcprequestanalytics - analyze HCP HTTP request logs
We found that hcprequestanalytics demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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