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diff --git a/doc/trex-analytics-howto.asciidoc b/doc/trex-analytics-howto.asciidoc new file mode 100755 index 00000000..6ad6c216 --- /dev/null +++ b/doc/trex-analytics-howto.asciidoc @@ -0,0 +1,58 @@ +TRex Analytics How-To Guide +=========================== +:email: trex.tgen@gmail.com +:quotes.++: +:numbered: +:web_server_url: https://trex-tgn.cisco.com/trex +:local_web_server_url: csi-wiki-01:8181/trex +:toclevels: 6 +:tabledef-default.subs: normal,callouts +include::trex_ga.asciidoc[] +// PDF version - image width variable +ifdef::backend-docbook[] +:p_width: 450 +endif::backend-docbook[] += Requirements +Google Analytics Integration: Google API Python client library: link:https://developers.google.com/analytics/devguides/reporting/core/v4/quickstart/installed-py[here] + +Data Analysis: using NumPy, MatPlotLib and Pandas from Anaconda 4.2.0 link:https://www.continuum.io/downloads[here] + += Setup fetch-analysis-publishing routine +== Build an Analytic Environment +1. Create a Google Analytics account and property using this link:https://support.google.com/analytics/answer/1008015?hl=en[link] +2. Using the Google Analytics tracking guide, send test results to your property. link:https://developers.google.com/analytics/devguides/collection/protocol/v1/devguide[here] +3. Set up your account to properly fetch the data from Google Analytics, using this guide: link:https://developers.google.com/analytics/devguides/reporting/core/v4/quickstart/installed-py[here] + +== Fetch and organize +1. Fetch the data into dictionary of this structure: + +[source,python] +---- +{ 'setup1': {'test_name1': [(test_res1),(test_res2),...], + 'test_name2': [(test_res1),(test_res2),...] + }, + 'setup2': {'test_name1': [(test_res1),(test_res2),...], + 'test_name2': [(test_res1),(test_res2),...] + }, + . + . + . + . +} +---- +test_res should maintain this structure: +[source,python] +---- +(test_name,state,test_type,MPPS,goldenMin,goldenMax) + +Example: +('VM - 64 bytes, multi CPU, cache size 1024','stl','performance','19.711146','19.0','22.0') +---- +== Analize and generate plots and data tables +Use the script TRexDataAnalysis.py to create the plots and data tables for your test results: + +1. run create_all_data with the entire data dictionary that was fetched, to create plots and tables for each setup provided in the dictionary. + +provide a "save_path" to save the graphs and plots to your desired location + + + +== Build the Document + + + |