Define a context class
======================

The [ArContext](../../../argaze.md/#argaze.ArFeatures.ArContext) class defines a generic base class interface to handle incoming eye tracker data before to pass them to a processing pipeline according to [Python context manager feature](https://docs.python.org/3/reference/datamodel.html#context-managers). 

The [ArContext](../../../argaze.md/#argaze.ArFeatures.ArContext) class interface provides playback features to stop or pause processings, performance assement features to measure how many times processings are called and the time spent by the process.

Besides, there is also a [LiveProcessingContext](../../../argaze.md/#argaze.ArFeatures.LiveProcessingContext) class that inherits from [ArContext](../../../argaze.md/#argaze.ArFeatures.ArContext) and that defines an abstract *calibrate* method to write specific device calibration process.

In the same way, there is a [PostProcessingContext](../../../argaze.md/#argaze.ArFeatures.PostProcessingContext) class that inherits from [ArContext](../../../argaze.md/#argaze.ArFeatures.ArContext) and that defines abstract *previous* and *next* playback methods to move into record's frames and also defines *duration* and *progression* properties to get information about a record length and processing advancment.

Finally, a specific eye tracking context can be defined into a Python file by writing a class that inherits either from [ArContext](../../../argaze.md/#argaze.ArFeatures.ArContext), [LiveProcessingContext](../../../argaze.md/#argaze.ArFeatures.LiveProcessingContext) or [PostProcessingContext](../../../argaze.md/#argaze.ArFeatures.PostProcessingContext) class.

## Write live processing context

Here is a live processing context example that processes gaze positions and camera images in two separated threads:

```python
from argaze import ArFeatures, DataFeatures

class LiveProcessingExample(ArFeatures.LiveProcessingContext):

	@DataFeatures.PipelineStepInit
	def __init__(self, **kwargs):

		# Init LiveProcessingContext class
		super().__init__()

		# Init private attribute
		self.__parameter = ...

	@property
	def parameter(self):
		"""Any context specific parameter."""
		return self.__parameter

	@parameter.setter
	def parameter(self, parameter):
		self.__parameter = parameter
	
	@DataFeatures.PipelineStepEnter
	def __enter__(self):
		"""Start context."""

		# Start context according any specific parameter
		... self.parameter

		# Start a gaze position processing thread
		self.__gaze_thread = threading.Thread(target = self.__gaze_position_processing)
		self.__gaze_thread.start()

		# Start a camera image processing thread if applicable
		self.__camera_thread = threading.Thread(target = self.__camera_image_processing)
		self.__camera_thread.start()

		return self

	def __gaze_position_processing(self):
		"""Process gaze position."""

		# Processing loop
		while self.is_running():

			# Pause processing
			if not self.is_paused():

				# Assuming that timestamp, x and y values are available
				...

				# Process timestamped gaze position
				self._process_gaze_position(timestamp = timestamp, x = x, y = y)

			# Wait some time eventually
			...

	def __camera_image_processing(self):
		"""Process camera image if applicable."""

		# Processing loop
		while self.is_running():

			# Pause processing
			if not self.is_paused():

				# Assuming that timestamp, camera_image are available
				...

				# Process timestamped camera image
				self._process_camera_image(timestamp = timestamp, image = camera_image)

			# Wait some time eventually
			...

	@DataFeatures.PipelineStepExit
	def __exit__(self, exception_type, exception_value, exception_traceback):
		"""End context."""
		
		# Stop processing loops
		self.stop()

		# Stop processing threads
		threading.Thread.join(self.__gaze_thread)
		threading.Thread.join(self.__camera_thread)

	def calibrate(self):
		"""Handle device calibration process."""

		...
```

## Write post processing context

Here is a post processing context example that processes gaze positions and camera images in a same thread:

```python
from argaze import ArFeatures, DataFeatures

class PostProcessingExample(ArFeatures.PostProcessingContext):

	@DataFeatures.PipelineStepInit
	def __init__(self, **kwargs):

		# Init LiveProcessingContext class
		super().__init__()

		# Init private attribute
		self.__parameter = ...

	@property
	def parameter(self):
		"""Any context specific parameter."""
		return self.__parameter

	@parameter.setter
	def parameter(self, parameter):
		self.__parameter = parameter
	
	@DataFeatures.PipelineStepEnter
	def __enter__(self):
		"""Start context."""

		# Start context according any specific parameter
		... self.parameter

		# Start a reading data thread
		self.__read_thread = threading.Thread(target = self.__data_reading)
		self.__read_thread.start()

		return self

	def __data_reading(self):
		"""Process gaze position and camera image if applicable."""

		# Processing loop
		while self.is_running():

			# Pause processing
			if not self.is_paused():

				# Assuming that timestamp, camera_image are available
				...

					# Process timestamped camera image
					self._process_camera_image(timestamp = timestamp, image = camera_image)

					# Assuming that timestamp, x and y values are available
					...
				
						# Process timestamped gaze position
						self._process_gaze_position(timestamp = timestamp, x = x, y = y)

			# Wait some time eventually
			...

	@DataFeatures.PipelineStepExit
	def __exit__(self, exception_type, exception_value, exception_traceback):
		"""End context."""
		
		# Stop processing loops
		self.stop()

		# Stop processing threads
		threading.Thread.join(self.__read_thread)

	def previous(self):
		"""Go to previous camera image frame."""
		...

	def next(self):
		"""Go to next camera image frame."""
		...
```