Python Block Message Passing

The previous tutorial, Creating Your First Block, demonstrates how to create a Python block using the Embedded Python Block. The next tutorial, Low Pass Filter Example, demonstrates how to use filtering blocks in GNU Radio.

Message Overview
Messages are an asynchronous way to send information between blocks. Messages are good at conveying control data, maintaining a consistent state across blocks and providing some forms of non-data feedback to blocks in a flowgraph.

Messages have a couple unique properties:
 * There is no sample-clock based guarantee when messages will arrive
 * Messages are not associated with a specific sample like a tag
 * Message input and output ports do not have to be connected in GRC
 * Message ports use the Polymorphic Type (PMT)

Message ports are denoted by a grey color and their connections are distinguished by dashed lines:



More information on message passing with PMTs can be found here: Message Passing

Flowgraph Overview
The following flowgraph will demonstrate how to:
 * Add message sending and receiving ports to Python blocks
 * Transmit messages
 * Receive and handle messages
 * Adapt block behavior in the work function based on a received messages

Two custom Embedded Python Blocks will be created to:
 * Select, or multiplex, one of two input signals based on a receive message
 * Count the number of samples and send a message to the multiplexing block to switch inputs

This tutorial assumes you have already created at least one Embedded Python Block. If not, please complete the tutorial Creating Your First Block before moving on.

Start by adding the following blocks to the flowgraph and connecting them:
 * Noise Source
 * Signal Source
 * Python Block
 * Throttle
 * QT GUI Time Sink



Multiplexer: Defining The Block
Double-click the first Embedded Python Block and open the source in the editor:



The example_param is not needed, so remove the variable example_param from the __init__function: def __init__(self): # only default arguments here

and delete the line: self.example_param = example_param

Change the name of the block to Multiplexer: name='Multiplexer',

Add a second input to the block: in_sig=[np.complex64, np.complex64],

Delete the multiplication by example_param:

output_items[0][:] = input_items[0]



Save the code (CTRL+S) and return back to GRC. The name of the block will have changed and the block will now have two inputs. Connect the Noise Source and Signal Source to the two inputs:



Multiplexer: Defining Message Input Port
Return to the code editor. A input message port needs to be added. Create a variable to name the port, self.selectPortName = 'selectPort'

and then add a line to create, or register, the input port: self.message_port_register_in(pmt.intern(self.selectPortName))

and finally, add a line to connect the input port with a message handler. self.set_msg_handler(pmt.intern(self.selectPortName), self.handle_msg)



Save the code (CTRL+S). Notice that syntax errors are listed in the properties of the Embedded Python Block:



This error says that the pmt library needs to be imported. Return to the code editor and add the proper import statement:

import pmt



Multiplexer: Creating Message Handler
The message handler function now has to be defined. A message handler is the function which is called when a message is received. This message handler will switch between the two input ports based on the received message. The received message will either be a Boolean True or False. Define a new variable under __init__ which will be the input selector,

self.selector = True

Now define the handle_msg function:

def handle_msg(self, msg): self.selector = pmt.to_bool(msg)

The function pmt.to_bool takes the message PMT and then converts the data type into Python's Boolean data type. PMTs are used in message passing to abstract data types. For example, messages can be used to send and receive strings, floats, integers and even lists. More information about PMTs can be found on the Polymorphic Types (PMTs) wiki page.



Multiplexer: Using a Message in work
The external interface of the multiplexer is complete. Now the block needs to have the multiplexing operation added through modification of the work function. Add the following code to the work function:

if (self.selector): output_items[0][:] = input_items[0] else: output_items[0][:] = input_items[1]



The multiplexer block selects port 0 if self.selector = True and port 1 if self.selector = False. The default value of self.selector is defined in the __init__ function.

Save the code (CTRL+S) and return to GRC. The Multiplexer block will now have a message port selectPort:



Run the flowgraph to make sure everything is correct before moving on. As mentioned in the introduction, a message port does not have to be connected for a flowgraph to run. Because the default value of self.selector is True, the multiplexer's work function will select port 0 and send that to the output. The QT GUI Time Sink will display noise:



Selector Control: Defining The Block
Another Embedded Python Block will be used to count the number of samples it has received and then transmit a control message to the multiplexer block in order to toggle the selector.

Start by adding a Python Block to the flowgraph, in betweeen the Multiplexer and Throttle:



Edit the code for the Embedded Python Block by changing the parameter example_param in the __init__ function:

def __init__(self, Num_Samples_To_Count=128):

Change the name of the block: name='Selector Control',

Store the Num_Samples_To_Count as a private variable: self.Num_Samples_To_Count = Num_Samples_To_Count

And remove the example_param multiplication in the work function:



Selector Control: Defining Message Output Port
Create a variable selectorPort in the __init__ function which will be the name of the output port as a string: self.selectorPort = 'selectorPort'

An message port is created, or registered, by adding the line in the __init__function: self.message_port_register_out(pmt.intern(self.selectorPort))

The next tutorial, Low Pass Filter Example, demonstrates how to use filtering blocks in GNU Radio.