Servicemon Analysis API¶

Analysis support¶

These classes are helpers for querying and plotting collected data.

StatQueries([tap_url, table])

A helper class for querying a TAP service which has servicemon data.

`create_daily_duration_line_plot`(sources, …)	Returns
`create_daily_rate_line_plot`(sources, services)	Returns
`create_data_frame`(data)	Create a Bokeh ColumnDataSource from an Astropy Table containing results from a navostats query.
`create_hover`()	Returns
`create_plot_dur_v_start_time`(source, locations)	Create a Bokeh plot (Figure) of do_query_dur versus start_time.
`create_plot_durations_v_nrows`(source[, …])	Create a Bokeh plot (Figure) of do_query_dur and stream_to_file_dur versus num_rows.
`create_plot_durations_v_size`(source[, …])	Create a Bokeh plot (Figure) of do_query_dur and stream_to_file_dur versus download size.
`create_plot_location_shapes`(source)	Experimental function to plot the different locations from which the performance queries were made as different shapes.
`create_service_plots`(stat_queries, services)	Create a Bokeh plot (Figure) of do_query_dur and stream_to_file_dur versus num_rows.
`generate_service_plots`(stat_queries, …)	Create a Bokeh plot (Figure) of do_query_dur and stream_to_file_dur versus num_rows for each row, put the plot rows into a bokeh layout with title divs for each row, then return the layout.
`generate_summary_plots`(stat_queries, …)	Parameters
`get_locations`(df)	Get the list of all locations present in the data source.

`components`(models[, wrap_script, …])	Return HTML components to embed a Bokeh plot.
`create_service_plots_page`(stat_queries, …)	Create an HTML page containing bokeh plots for a time interval’s worth of servicemon data for each of the service name/type pairs (`services`).
`create_weekly_plots`([date_to_include])	Helper function to create an HTML page containing bokeh plots for one week’s worth of servicemon data for all the services in the TAP DB.
`generate_service_plots`(stat_queries, …)	Create a Bokeh plot (Figure) of do_query_dur and stream_to_file_dur versus num_rows for each row, put the plot rows into a bokeh layout with title divs for each row, then return the layout.
`generate_summary_plots`(stat_queries, …)	Parameters
`sm_create_weekly_plots`([input_args])
`with_delta`(t, delta)	Return the datetime and time string for a time that is delta different than t.