This chapter deals with the functionality of the Python script for evaluating statistical data according to the query duration of selected request types.
The script works with the statistical data generated by the WebOffice application. Among other things, these contain information about the duration of certain requests of a WebOffice project.
With the help of the script, it is now possible to evaluate the duration of certain requests and thus determine the performance of the WebOffice project.
Note: To configured user tracking (saving of personal data) use the application configuration in the WebOffice author standalone.
All requirements are met if ArcMap is already installed. If not Python 2.7 as well as the Python-Libraries numpy and pandas need to be installed.
1. Select the time span for which the statistic data should be evaluated
Here it is possible to choose a month (M), quarter (Q) or year (Y) for the purpose of the analysis.
2. Select the path to the statistics data
The absolut path to the statistic data which you want to analyze needs to be entered here.
3. Reading of the statistic data
Here you can watch the progress of the reading process.
4. Select the project for which the statistics are to be created
One or more projects can be entered here. If the field is left empty and confirmed by hitting enter, all projects will be included in the analysis.
5. Select the Request Types
Like in point 4 one or more request types can be entered here. If the field is left empty and confirmed by hitting enter, all request types will be included in the analysis.
If the request type GET_PRINT is chosen only, there will be an additional query regarding the template ID. An ID can either be entered to have an more precise filtering or it can be left empty to include all GET_PRINT entries in the analysis.
6. Output of the results
In the last step, the results are displayed according to request type and month.
The now described sub folders are stored at the same location where the script is located.
All output files will be stored in the the output folder.
The sub folder log contains the log file