Rewriting eye tracking context and gaze analysis sections.

1 files changed, 25 insertions, 33 deletions

diff --git a/docs/user_guide/gaze_analysis_pipeline/configuration_and_execution.md b/docs/user_guide/gaze_analysis_pipeline/configuration_and_execution.md
index 57a9d71..58919e5 100644
--- a/docs/user_guide/gaze_analysis_pipeline/configuration_and_execution.md
+++ b/docs/user_guide/gaze_analysis_pipeline/configuration_and_execution.md
@@ -1,15 +1,15 @@
-Load and execute pipeline
+Edit and execute pipeline
 =========================
 
 The [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) class defines a rectangular area where timestamped gaze positions are projected in and inside which they need to be analyzed.
 
-![Frame](../../img/ar_frame.png)
+Once defined, a gaze analysis pipeline needs to embedded inside a context that will provides it gaze positions to process.
 
-## Load JSON configuration file
+![Frame](../../img/ar_frame.png)
 
-An [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) pipeline can be loaded from a JSON configuration file thanks to the [argaze.load](../../argaze.md/#argaze.load) package method. 
+## Edit JSON configuration
 
-Here is a simple JSON [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) configuration file example:
+Here is a simple JSON [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) configuration example:
 
 ```json
 {
@@ -35,19 +35,7 @@ Here is a simple JSON [ArFrame](../../argaze.md/#argaze.ArFeatures.ArFrame) conf
 }
 ```
 
-Then, here is how to load the JSON file:
-
-```python
-import argaze
-
-# Load ArFrame
-with argaze.load('./configuration.json') as ar_frame:
-
-	# Do something with ArFrame
-	...
-```
-
-Now, let's understand the meaning of each JSON entry.
+Let's understand the meaning of each JSON entry.
 
 ### argaze.ArFeatures.ArFrame
 
@@ -103,28 +91,32 @@ In the example file, the chosen analysis algorithms are the [Basic](../../argaze
 
 ## Pipeline execution
 
-Timestamped [GazePositions](../../argaze.md/#argaze.GazeFeatures.GazePosition) have to be passed one by one to the [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method to execute the whole instantiated pipeline. 
+A pipeline needs to be embedded into a context to be executed.
 
-!!! warning "Mandatory"
+Copy the gaze analysis pipeline configuration defined above inside the following context configuration.
 
-	The [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method must be called from a *try* block to catch pipeline exceptions.
+```json
+{
+    "argaze.utils.contexts.Random.GazePositionGenerator": {
+        "name": "Random gaze position generator",
+        "range": [1920, 1080],
+        "pipeline": JSON CONFIGURATION
+    }
+}
+```
 
-```python
-# Assuming that timestamped gaze positions are available
-...
+Then, use the [*load* command](../utils/main_commands.md) to execute the context.
 
-	try:
+```shell
+python -m argaze load CONFIGURATION
+```
 
-		# Look ArFrame at a timestamped gaze position
-		ar_frame.look(timestamped_gaze_position)
+This command should open a GUI window with a random yellow dot and identified fixations circles.
+
+![ArGaze load GUI](../../img/argaze_load_gui_random_pipeline.png)
 
-	# Do something with pipeline exception
-	except Exception as e:
-		
-		...
-```
 !!! note ""
 
-	At this point, the [ArFrame.look](../../argaze.md/#argaze.ArFeatures.ArFrame.look) method only processes gaze movement identification and scan path analysis without any AOI neither any recording or visualization supports.
+	At this point, the pipeline only processes gaze movement identification and scan path analysis without any AOI neither any recording or visualization supports.
 
 	Read the next chapters to learn how to [describe AOI](aoi_2d_description.md), [add AOI analysis](aoi_analysis.md), [record gaze analysis](recording.md) and [visualize pipeline steps](visualization.md).
\ No newline at end of file