Repository Summary
Checkout URI | https://github.com/pal-robotics/launch_pal.git |
VCS Type | git |
VCS Version | master |
Last Updated | 2024-11-21 |
Dev Status | MAINTAINED |
CI status | No Continuous Integration |
Released | RELEASED |
Tags | No category tags. |
Contributing |
Help Wanted (0)
Good First Issues (0) Pull Requests to Review (0) |
Packages
Name | Version |
---|---|
launch_pal | 0.8.0 |
README
launch_pal
Utilities for simplifying some common ROS2 launch operations.
get_pal_configuration
Implementation of the PAL’s PAPS-007 standard for configuration management.
Retrieves all the parameters, remappings and arguments for a given node by
looking for ament_index
-registered YAML configurations file. It properly handle
overloading of parameters, enabling for instance to have a default configuration
and a specific configuration for a given robot family or robot unit.
User overrides
Users can provide local overrides via configuration files in
$HOME/.pal/config
.
For instance, creating a file ~/.pal/config/default_volume.yml
with the
content:
/volume:
ros__parameters:
default_volume: 75
would override the ROS parameter default_volume
for the node /volume
.
This is useful for eg persist user configuration across robot reboots.
The default location of user configuration is $HOME/.pal/config
. It can by
changed by setting the environment variable $PAL_USER_PARAMETERS_PATH
.
Automatic command-line arguments
If get_pal_configuration
is called with cmdline_args=True
(default), it will
automatically add command-line launch arguments for all parameters in the
configuration file. This allows for easy configuration of the node via the
command line (see for instance --show-args
).
Alternatively, the user can provide a list of parameters to be exposed as command-line arguments. This is useful for instance to expose only a subset of parameters.
This behavior can be disabled by setting cmdline_args=False
.
Usage
#...
from launch_pal import get_pal_configuration
def generate_launch_description():
ld = LaunchDescription()
config = get_pal_configuration(pkg='pkg_name',
node='node_name',
ld=ld, # optional if cmdline_args = False
cmdline_args=[Bool|list]) # optional, True by default
)
my_node = Node(
name='node_name',
namespace='',
package='pkg_name',
executable='node_executable',
parameters=config['parameters'],
remappings=config['remappings'],
arguments=config['arguments'],
)
# ...
ld.add_action(my_node)
return ld
robot_arguments
Contains classes to read launch argument settings directly from a YAML file, grouped per robot type. For each argument the name, the description, default value and possible choices are provided. The classes can be imported to remove boilerplate of robot launch arguments.
One special class,
```, contains all available
launch arguments for PAL Robots. These arguments consist of only a name and description.
Example:
```python
from launch_pal.arg_utils import LaunchArgumentsBase
from launch_pal.robot_arguments import CommonArgs, RobotArgs
from launch.actions import DeclareLaunchArgument
from dataclasses import dataclass
@dataclass(frozen=True)
class LaunchArguments(LaunchArgumentsBase):
# Frequently used LaunchArguments
wheel_model: DeclareLaunchArgument = CommonArgs.robot_name
# PAL common Robot specific LaunchArguments
base_type: DeclareLaunchArgument = RobotArgs.base_type
arg_utils
Contains utilities for declaring launch arguments and removing boiler plate.
LaunchArgumentsBase
: A dataclass that contains only DeclareLaunchArgument
objects. The class is used to ease the process of adding launch arguments to the launch description. Has member function add_to_launch_description
to automatically add all launch arguments to the launch description.
read_launch_argument
: Used in Opaque functions to read the value of a launch argument and substitute it to text.
param_utils
Contains utilities for merging yaml parameter files or replace parametric variables in a param file.
parse_parametric_yaml
: Checks yaml files for variables of layout ${VAR_NAME}
and parses them. Parsing is done by giving a dictionary as input:
parse_dict = { VAR_NAME_1: value_1,
VAR_NAME_2: value_2}
merge_param_files
: Merges multiple yaml files into one single file to be loaded by a node.
include_utils
Contains utilities to reduce the boilerplate necessary for including files.
include_launch_py_description
: Include a python launch file.
include_scoped_launch_py_description
: Include a python launch file but avoid all launch arguments to be passed on by default. Any required launch arguments have to explicitly passed on to the launch file.
scoped_launch_file = include_scoped_launch_py_description(pkg_name='my_pkg',
paths=['launch','my_file.launch.py'],
launch_arguments={ 'arg_a': DeclareLaunchArgument('arg_a'),
'arg_2': DeclareLaunchArgument('arg_b'),
'arg_c': LaunchConfiguration('arg_c'),
'arg_d': "some_value' }
env_vars=[SetEnvironmentVariable("VAR_NAME", 'value)]
condition=IfCondition(LaunchConfiguration('arg_a')))
NOTE: This mimics the behavior of including launch files in ROS 1. Helpful in large launch files structures to avoid launch arguments to be overwritten by accident.
composition_utils
Contains utilities to reduce the boilerplate necessary for using ROS 2 components
generate_component_list
: generates a list of composable nodes from a YAML and a package name, ready to be added or loaded into a ComposableNodeContainer:
components:
<COMPONENT-NAME>:
type: <DIAGNOSTIC-TYPE>
ros__parameters:
name: <FULL-DIAGNOSTIC_DESCRIPTOR>
[<REST-OF-PARAMS>]
It can be used from a launch file like:
component_list = generate_component_list(components_yaml, pkg_name)
And then added normally to a container:
container = ComposableNodeContainer(
name="container_name",
namespace="",
package="rclcpp_components",
executable="component_container",
composable_node_descriptions=component_list,
)
Actions
CheckPublicSim
Raises an exception if the is_public_sim argument is being used correctly, that is, ensure that when using a simulation outside PAL the argument is set to true.
ValidateLaunchArgs
Checks that all the passed arguments using ros2 launch are declared in the launch file. This prevents passing uncorrectly typed arguments to a launch file, which would result in unexpected behaviours as the defaults would be used without warning.
validate_launch_args = ValidateLaunchArgs(launch_args=launch_args)
launch_description.add_action(validate_launch_args)
ValidateXacroArgs
It does two things:
- Checks that all the arguments that are being passed from the launch file to the xacro are declared in it, failing if not.
- Checks that all the declared arguments in the xacro are receiving a value from the launch file, giving a warning if not. This allows to know exactly which argument is being used in the robot description.
validate_xacro_args = ValidateXacroArgs(xacro_path=xacro_file_path, xacro_input_args=xacro_input_args)
launch_description.add_action(validate_xacro_args)
robot_utils (DEPRECATED)
Declare a single launch argument given by the robot name.
Example:
robot_name = 'tiago'
laser_model_arg = get_laser_model(robot_name)
CONTRIBUTING
Contributing Guidelines
Thank you for your interest in contributing to this project Whether it’s a bug report, new feature, correction, or additional documentation, we greatly value feedback and contributions from our community.
Please read through this document before submitting any issues or pull requests to ensure we have all the necessary information to effectively respond to your bug report or contribution.
Reporting Bugs/Feature Requests
We welcome you to use the GitHub issue tracker to report bugs or suggest features.
When filing an issue, please check existing open issues, or recently closed, issues to make sure somebody else hasn’t already reported the issue. Please try to include as much information as you can. Details like these are incredibly useful:
- A reproducible test case or series of steps
- The version of our code being used
- Any modifications you’ve made relevant to the bug
- Anything unusual about your environment or deployment
Contributing via Pull Requests
Contributions via pull requests are much appreciated. Before sending us a pull request, please ensure that:
- You are working against the latest source on the master branch.
- You check existing open, and recently merged, pull requests to make sure someone else hasn’t addressed the problem already.
- You open an issue to discuss any significant work - we would hate for your time to be wasted.
To send us a pull request, please:
- Fork the repository.
- Modify the source; please focus on the specific change you are contributing. If you also reformat all the code, it will be hard for us to focus on your change.
- Ensure local tests pass. (
colcon test
) - Commit to your fork using clear commit messages.
- Send a pull request, answering any default questions in the pull request interface.
- Pay attention to any automated CI failures reported in the pull request, and stay involved in the conversation.
GitHub provides additional documentation on forking a repository and creating a pull request.
Licensing
Any contribution that you make to this repository will be under the Apache 2 License, as dictated by that license:
5. Submission of Contributions. Unless You explicitly state otherwise,
any Contribution intentionally submitted for inclusion in the Work
by You to the Licensor shall be under the terms and conditions of
this License, without any additional terms or conditions.
Notwithstanding the above, nothing herein shall supersede or modify
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with Licensor regarding such Contributions.