Classes | Namespaces
nodelet_utils.hpp File Reference

This file contains a set of classes that make work with nodelets easier. More...

#include <nodelet/nodelet.h>
#include "nodelet_utils/log_macros.h"
#include "nodelet_utils/param_helper.hpp"
#include "nodelet_utils/nodelet_aware_tf_buffer.h"
#include "nodelet_utils/nodelet_with_diagnostics.hpp"
#include "nodelet_utils/nodelet_with_shared_tf_buffer.hpp"
#include "nodelet_utils/stateful_nodelet.hpp"
#include "nodelet_utils/thread_name_updating_nodelet.hpp"
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Classes

class  cras::Nodelet
 
class  cras::NodeletBase< BaseNodelet >
 Base template which adds all defined mixins to BaseNodelet class. More...
 

Namespaces

 cras
 

Detailed Description

This file contains a set of classes that make work with nodelets easier.

Author
Martin Pecka SPDX-License-Identifier: BSD-3-Clause SPDX-FileCopyrightText: Czech Technical University in Prague

There are a few helper "mixins":

NodeletParamHelper provides the conveniently templatized getParam() methods similar to those in node_utils.

StatefulNodelet adds state to the nodelets, so that you can query isOk() to determine whether the nodelet is not shutting down.

ThreadNameUpdatingNodelet adds function setThreadName() which you can call in your callbacks to signal to the OS which nodelet is currently being run in the particular nodelet manager's thread.

The NodeletSharingTfBuffer adds functions setBuffer(), getBuffer() and usesSharedBuffer(), which allow the nodelet manager to pass a pointer to a shared TF buffer. Note that standard nodelet manager cannot make use of this feature, so to utilize it, you should launch nodelet_manager_sharing_tf_buffer from this package instead.

Finally, NodeletBase<BaseNodelet> template class adds all these mixins to the provided BaseNodelet class to create a nodelet where you can use all the features added by the mentioned mixins. Use this template if you need to derive your nodelet from a different class than nodelet::Nodelet (like PCLNodelet).

If you just want to build your nodelet from scratch, you should start by deriving it from the cras::Nodelet class which has all the mixins and is based on nodelet::Nodelet.

Here's an example how your custom nodelet class should be started:

class MyClass : public cras\:\:Nodelet { ... }

In case you need to base your class on something else than nodelet::Nodelet, here's an example with a PCLNodelet:

class MyClass : public cras\:\:NodeletBase<pcl_ros\:\:PCLNodelet> { ... }

NodeletAwareTFBuffer is a class that is able to correctly end canTransform() calls in case the nodelet is asked to unload while the canTransform() call is waiting.

Note
The "mixin" classes are templated so that each of them has a virtual base class BaseNodelet. It is important that this base class is virtual, otherwise NodeletBase and other classes combining multiple mixins would contain multiple "copies" of BaseNodelet, and that would lead to ambiguous function calls etc. Virtual inheritance instead creates just a single copy of BaseNodelet shared by all the mixins.
The mixins can call methods from other mixins by dynamic_casting this to OtherMixin<BaseNodelet>*. It is not guaranteed that all mixins will be always available, so be sure to correctly handle the case when the dynamic_cast yields nullptr.
If the mixins need to expose a public API (as is the case of NodeletWithSharedTfBuffer), the public API must be extracted to a separate interface class that is not templated (otherwise, the users of the public API would need to dynamic cast the nodelet to Mixin<NodeletType>, but NodeletType could be anything from the view of a public user). The interface class does not depend on NodeletType, which allows public users to dynamic_cast the nodelet to this interface. To use the implementations from the mixin for the interface class, the interface functions should be declared pure virtual and the mixin function should override these. See NodeletWithSharedTfBuffer for an example.

Definition in file nodelet_utils.hpp.



cras_cpp_common
Author(s): Martin Pecka
autogenerated on Sat Jun 17 2023 02:32:53