Faster Development Workflow
Contents
Faster Development Workflow#
In this section we will learn some tricks that enable a much faster development workflow in dts
.
Run locally#
As we have seen so far, we can add new code to a DTProject or make a change to existing code and then build and run either locally or directly on a Duckiebot. While working with ROS, we only have seen examples in which all the nodes were run on the Duckiebot. This is because ROS sets up all the nodes to defaultly look for a ROS network on the local machine, and given that our ROS network originates on the Duckiebot, we can leverage the default configuration of ROS by running the nodes directly on the Duckiebot. Unfortunately, building and running on the Duckiebot is not the best option when it comes to speed, though having a responsive development workflow is crucial in software development.
There are two major issues with the current workflow,
our source code always resides on our local computer, so Docker needs to transfer it over to the Duckiebot for the image to be built;
the Duckiebot’s on-board computer is too slow to be used as a development testbed (while it is fine for final deployments);
Ideally, we would like to be able to build and run ROS nodes on our local computer in a way that is transparent
to all other ROS nodes. This can be done very easily with dts
, and we will now see how.
Let us go back to the example in ROS Subscriber. A block diagram showing the ROS nodes and their location in the network would be the following,
Let us now keep everything as is for the Publisher and slightly change the commands we use to build and run the Subscriber. In particular, we use the following commands instead,
dts devel build -f
dts devel run -R ROBOT_NAME -L my-subscriber
We are now telling dts
to build the project locally (we removed -H ROBOT_NAME
from the build
command).
We are also telling dts
to run the subscriber node locally (we removed -H ROBOT_NAME
from the
run
command) but to connect it to the ROS network of the Duckiebot (using the --ros/-R ROBOT_NAME
option on the run
command).
A block diagram showing the new configuration of ROS nodes and their location in
the network would be the following,