samples: app_event_manager_profiler_tracer: Stats calculating demo

Change adds a new testing step demonstrating calculating statistics.
Change also adds related test preset for the nRF Profiler host tools.

Jira: NCSDK-35261

Signed-off-by: Marek Pieta <[email protected]>
Signed-off-by: Pekka Niskanen <[email protected]>

Author: MarekPieta

doc/nrf/releases_and_maturity/releases/release-notes-changelog.rst

@@ -477,6 +477,11 @@ Other samples
   * Added a new testing step demonstrating how to calculate event propagation statistics.
     Also added the related test preset for the :file:`calc_stats.py` script (:file:`nrf/scripts/nrf_profiler/stats_nordic_presets/nrf_profiler.json`).
 
+* :ref:`app_event_manager_profiling_tracer_sample` sample:
+
+  * Added a new testing step demonstrating how to calculate event propagation statistics.
+    Also added the related test preset for the :file:`calc_stats.py` script (:file:`nrf/scripts/nrf_profiler/stats_nordic_presets/app_event_manager_profiler_tracer.json`).
+
 Drivers
 =======
 

samples/app_event_manager_profiler_tracer/README.rst

@@ -76,10 +76,9 @@ After programming the sample to your development kit, test it by performing the
 1. Run the script :file:`real_time_plot.py` located in the :file:`scripts/nrf_profiler` folder, with the name that is to be used to store the data as argument.
    For example, run the following command to generate a :file:`test_name.csv` and a :file:`test_name.json` file using the *test_name* argument:
 
-   .. parsed-literal::
-      :class: highlight
+   .. code-block:: console
 
-      real_time_plot.py *test_name*
+      python3 real_time_plot.py *test_name*
 
    The script opens a GUI window that displays events as points on timelines, similar to the following:
 
@@ -102,6 +101,14 @@ After programming the sample to your development kit, test it by performing the
    One event submission and corresponding processing time is highlighted in green.
 #. Check the results for the generated :file:`test_name.csv` and :file:`test_name.json` files.
 #. See how events are logged with data transmitted by the event.
+#. Calculate the nRF Profiler event propagation statistics (statistics for time intervals between nRF Profiler events) from the previously collected dataset using the following command:
+
+   .. code-block:: console
+
+      python3 calc_stats.py *test_name* stats_nordic_presets/app_event_manager_profiler_tracer.json
+
+   The :file:`stats_nordic_presets/app_event_manager_profiler_tracer.json` file specifies the nRF Profiler events used for the calculations.
+   The file refers to the events used by the sample.
 
 Dependencies
 ************

scripts/nrf_profiler/stats_nordic_presets/app_event_manager_profiler_tracer.json

@@ -0,0 +1,33 @@
+[
+	{
+		"name": "Time between one_sec_event",
+		"start_event": {
+			"name": "one_sec_event"
+		},
+		"end_event": {
+			"name": "one_sec_event"
+		}
+	},
+	{
+		"name": "Processing time of five_sec_event",
+		"start_event": {
+			"name": "five_sec_event",
+			"state": "processing_start"
+		},
+		"end_event": {
+			"name": "five_sec_event",
+			"state": "processing_end"
+		}
+	},
+	{
+		"name": "burst_event processing start delay",
+		"start_event": {
+			"name": "burst_event",
+			"state": "submit"
+		},
+		"end_event": {
+			"name": "burst_event",
+			"state": "processing_start"
+		}
+	}
+]