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Writing a simple service and client (Python)
Goal: Create and run service and client nodes using Python.
Tutorial level: Beginner
Time: 20 minutes
Contents
Background
When nodes communicate using services, the node that sends a request for data is called the client node, and the one that responds to the request is the service node.
The structure of the request and response is determined by a .srv
file.
The example used here is a simple integer addition system; one node requests the sum of two integers, and the other responds with the result.
Prerequisites
In previous tutorials, you learned how to create a workspace and create a package.
Tasks
1 Create a package
Open a new terminal and source your ROS 2 installation so that ros2
commands will work.
Navigate into the dev_ws
directory created in a previous tutorial.
Recall that packages should be created in the src
directory, not the root of the workspace.
Navigate into dev_ws/src
and create a new package:
ros2 pkg create --build-type ament_python py_srvcli --dependencies rclpy example_interfaces
Your terminal will return a message verifying the creation of your package py_srvcli
and all its necessary files and folders.
The --dependencies
argument will automatically add the necessary dependency lines to package.xml
.
example_interfaces
is the package that includes the .srv file you will need to structure your requests and responses:
int64 a
int64 b
---
int64 sum
The first two lines are the parameters of the request, and below the dashes is the response.
1.1 Update package.xml
Because you used the --dependencies
option during package creation, you don’t have to manually add dependencies to package.xml
.
As always, though, make sure to add the description, maintainer email and name, and license information to package.xml
.
<description>Python client server tutorial</description>
<maintainer email="you@email.com">Your Name</maintainer>
<license>Apache License 2.0</license>
1.2 Update setup.py
Add the same information to the setup.py
file for the maintainer
, maintainer_email
, description
and license
fields:
maintainer='Your Name',
maintainer_email='you@email.com',
description='Python client server tutorial',
license='Apache License 2.0',
2 Write the service node
Inside the dev_ws/src/py_srvcli/py_srvcli
directory, create a new file called service_member_function.py
and paste the following code within:
from example_interfaces.srv import AddTwoInts
import rclpy
from rclpy.node import Node
class MinimalService(Node):
def __init__(self):
super().__init__('minimal_service')
self.srv = self.create_service(AddTwoInts, 'add_two_ints', self.add_two_ints_callback)
def add_two_ints_callback(self, request, response):
response.sum = request.a + request.b
self.get_logger().info('Incoming request\na: %d b: %d' % (request.a, request.b))
return response
def main():
rclpy.init()
minimal_service = MinimalService()
rclpy.spin(minimal_service)
rclpy.shutdown()
if __name__ == '__main__':
main()
2.1 Examine the code
The first import
statement imports the AddTwoInts
service type from the example_interfaces
package.
The following import
statement imports the ROS 2 Python client library, and specifically the Node
class.
from example_interfaces.srv import AddTwoInts
import rclpy
from rclpy.node import Node
The MinimalService
class constructor initializes the node with the name minimal_service
.
Then, it creates a service and defines the type, name, and callback.
def __init__(self):
super().__init__('minimal_service')
self.srv = self.create_service(AddTwoInts, 'add_two_ints', self.add_two_ints_callback)
The definition of the service callback receives the request data, sums it, and returns the sum as a response.
def add_two_ints_callback(self, request, response):
response.sum = request.a + request.b
self.get_logger().info('Incoming request\na: %d b: %d' % (request.a, request.b))
return response
Finally, the main class initializes the ROS 2 Python client library, instantiates the MinimalService
class to create the service node and spins the node to handle callbacks.
2.2 Add an entry point
To allow the ros2 run
command to run your node, you must add the entry point to setup.py
(located in the dev_ws/src/py_srvcli
directory).
Add the following line between the 'console_scripts':
brackets:
'service = py_srvcli.service_member_function:main',
3 Write the client node
Inside the dev_ws/src/py_srvcli/py_srvcli
directory, create a new file called client_member_function.py
and paste the following code within:
import sys
from example_interfaces.srv import AddTwoInts
import rclpy
from rclpy.node import Node
class MinimalClientAsync(Node):
def __init__(self):
super().__init__('minimal_client_async')
self.cli = self.create_client(AddTwoInts, 'add_two_ints')
while not self.cli.wait_for_service(timeout_sec=1.0):
self.get_logger().info('service not available, waiting again...')
self.req = AddTwoInts.Request()
def send_request(self):
self.req.a = int(sys.argv[1])
self.req.b = int(sys.argv[2])
self.future = self.cli.call_async(self.req)
def main():
rclpy.init()
minimal_client = MinimalClientAsync()
minimal_client.send_request()
while rclpy.ok():
rclpy.spin_once(minimal_client)
if minimal_client.future.done():
try:
response = minimal_client.future.result()
except Exception as e:
minimal_client.get_logger().info(
'Service call failed %r' % (e,))
else:
minimal_client.get_logger().info(
'Result of add_two_ints: for %d + %d = %d' %
(minimal_client.req.a, minimal_client.req.b, response.sum))
break
minimal_client.destroy_node()
rclpy.shutdown()
if __name__ == '__main__':
main()
3.1 Examine the code
The only different import
statement for the client is import sys
.
The client node code uses sys.argv to get access to command line input arguments for the request.
The constructor definition creates a client with the same type and name as the service node. The type and name must match for the client and service to be able to communicate.
The while
loop in the constructor checks if a service matching the type and name of the client is available once a second.
Below the constructor is the request definition, followed by main
.
The only significant difference in the client’s main
is the while
loop.
The loop checks the future
to see if there is a response from the service, as long as the system is running.
If the service has sent a response, the result will be written in a log message.
3.2 Add an entry point
Like the service node, you also have to add an entry point to be able to run the client node.
The entry_points
field of your setup.py
file should look like this:
entry_points={
'console_scripts': [
'service = py_srvcli.service_member_function:main',
'client = py_srvcli.client_member_function:main',
],
},
4 Build and run
It’s good practice to run rosdep
in the root of your workspace (dev_ws
) to check for missing dependencies before building:
rosdep install -i --from-path src --rosdistro rolling -y
rosdep only runs on Linux, so you can skip ahead to next step.
rosdep only runs on Linux, so you can skip ahead to next step.
Navigate back to the root of your workspace, dev_ws
, and build your new package:
colcon build --packages-select py_srvcli
Open a new terminal, navigate to dev_ws
, and source the setup files:
. install/setup.bash
. install/setup.bash
call install/setup.bat
Now run the service node:
ros2 run py_srvcli service
The node will wait for the client’s request.
Open another terminal and source the setup files from inside dev_ws
again.
Start the client node, followed by any two integers separated by a space:
ros2 run py_srvcli client 2 3
If you chose 2
and 3
, for example, the client would receive a response like this:
[INFO] [minimal_client_async]: Result of add_two_ints: for 2 + 3 = 5
Return to the terminal where your service node is running. You will see that it published log messages when it received the request:
[INFO] [minimal_service]: Incoming request
a: 2 b: 3
Enter Ctrl+C
in the server terminal to stop the node from spinning.
Summary
You created two nodes to request and respond to data over a service. You added their dependencies and executables to the package configuration files so that you could build and run them, allowing you to see a service/client system at work.
Next steps
In the last few tutorials you’ve been utilizing interfaces to pass data across topics and services. Next, you’ll learn how to create custom interfaces.