State design pattern usage in embedded software - c++

I have been solving following problem. I'm a newbie in C++ and I need to implement
a state machine for an embedded software. This state machine should constitute
core of an application logic. It should control transitions between states
"STANDSTILL", "RUN" and "FAULT" of a controller. These transitions occur based
on: logic inputs state, analog inputs state, messages received over communication lines and messages created internally in the controller's software.
I would like to implement this state machine in such a manner that I utilize the
power of the C++ (object oriented programming). So I have spent some time in
looking for some appropriate design pattern. I have found the "state" desing
pattern but I am not sure whether it is a good choice for me. As far as
I understand the definition in right manner it is intended for situations when I
have some object (so called context object) which behavior (methods of its public interface) is strongly dependent on its state.
My first idea was that the so called context object could be the controller itself. (I mean a class which will realize the software model of the whole device.) The state dependent methods could be the methods asociated with the above mentioned inputs processed by the state machine i.e. logic inputs, analog inputs, messages received over communication lines and internal messages. But I am not sure whether it is good approach. Does anybody have any experience with such usage of the state design pattern? Thanks for any suggestions.

Just because you are using C++, you are not necessarily using object-oriented design. Nor do you have to use OOD when implementing trivial things. It is quite feasible to implement a state machine without involving OOD, since it is such a simple data structure. Basically it is just an array (of function pointers) with named members.
The "pattern" is known as finite state machine. A typical C implementation for embedded systems can be found here. You could write a simple class around that array. State machines in embedded systems are almost always static and read-only, so the class would have to be a "Singleton". You'll find that there's no obvious benefit of using a class here.

the state pattern is a good design to start with. But as mentioned, there are existing tools that can generate the code for you. Another one you could look at is http://scxmlcc.org. This one create code that uses 'the power of C++' and is also based on the state pattern design.

Related

How to select the right architectural/design patterns

I am doing my own research project, and I am quite struggling regarding the right choice of architectural/design patterns.
In this project, after the "system" start, I need to do something in background (tasks, processing, display data and so on) and at the same be able to interact with the system using, for example, keyboard and send some commands, like "give me status of this particular object" or "what is the data in this object".
So my question is - what software architectural/design patterns can be applied to this particular project? How the interraction between classes/objects should be organized? How should the objects be created?
Can, for example, "event-driven architecture" or "Microkernel" be applied here? Some references to useful resources will be very much appreciated!
Thank you very much in advance!
Careful with design patterns. If you sprinkle them throughout your code hoping that everything will work great, you'll soon have an unreadable, boilerplate full mess. They are recipes, not solutions.
My advice to you is pick a piece of paper and a pencil and start drawing all the entities of your domain, with all their requisites, and see how they relate. If you want to get somewhat serious about it, you can do something like this.
When defining your entities, strive for high cohesion and loose coupling.
High cohesion means that you should keep similar functionalities together. In a very simple example, if you have a class that reads stuff from a file and processes it, the class has low cohesion, since reading and processing are two very distinct functionalities. In this case, you would want a class for each functionality.
As for loose coupling, it means that your entities should be independent of each other. Using the example above, supposed that you are now the proud owner of two highly cohesive classes - one that reads stuff from a file (Reader), and one that processes that stuff (Processor). Now, suppose that the Processor class has an instance of the Reader class, and calls it in order to get its input. In this case, we can say that both classes are tightly coupled, since Processor won't work without Reader. In the OOP world, the solution for this is typically the use of interfaces. You can find a neat example here.
After defining an initial model of your domain and gathering as much knowledge about it as you can, you can now start to think about the implementation's architecture. This is were you can start thinking about the architectural patterns. Event driven architecture, clean architecture, MVP, MVVM... It will all depend on your domain. It is your job to know which pattern will fit best. Spoiler alert: this can be extremely hard to do correctly even for experienced engineers, so don't be afraid to fail.
Finally, leave the design patterns for the implementation stage. Their use completely depends on your implementation problems and decisions. Also, DON'T FORCE THEM. Ideally, you will solve a problem and, IF APPLICABLE, you'll see a pattern emerging. Trust me, the last thing you want is to have a case of design patternitis. Anyway, if you need literature on patterns, I totally recommend this book. It's great no matter your level as an engineer.
Further reading:
SOLID principles
Onion Architecture
Clean architecture
Good luck!
You have a background task, and it can be used for a message pump/event queue indeed. Then your foreground task would send requests to this background thread and asynchronously wait for the result.
Have a look at the book "Patterns for Parallel Programming".
It is much better if you check a book for Design Patterns. I really like this one.
For example, if you need to get some data from a particular object, you may need the Observer Pattern to work for you and as soon as the object has the data, you (or another object) get to know this data and can work with it, with another pattern (strategy might work, it really depends on what you have to do).
If you have to do some things at the same time, check also the Singleton pattern (well, check the most important ones!).

Handing of C code in C++ (Vulkan)

I am trying to write a rendering engine in C++ based on Vulkan. Vulkan is written in C, as a result it has some interesting conventions.
A recurring pattern I see in tutorials/code snippets from Vulkan apps is that most code is in 1 very big class. (right now my vulkan class is already about 2000 lines too). But to make a proper rendering engine, I will need to compartmentalize my code till some degree.
One of the aforementioned interesting bits is that it has something called a Logical Device, which is an abstract reference to the graphics card.
It is used everywhere, to create and allocate things in the following way:
Create structs with creation info
Create variable that the code will output into
Call the actual vkCreateSomething or vkAllocateSomething function, pass in the logical device,
the creation info and the reference to the variable to output to and check if it was a success.
on its own there is nothing wrong with this style I'd say. It's just that it's not really handy at all in OOP because it relies on the logical device being available everywhere.
How would I deal with this problem? Service locators and singletons are considered to be horrible solutions by many (which I can understand), so that seems like something I'd rather avoid.
Are there design patterns that deal with this?
The logical device is an actual dependency.
It has state, and its state needs to be available to work with the hardware.
You can use it as an argument to your operations, a value stored in pretty much every class, a global, or a monadic-esque "final" argument where every operation just returns something still needing the device to run on. You can replace a (pointer/reference to) it with a function returning a (pointer/reference to) it.
Consider if pure OOP is what you want to do; vulkan and rendering is more about operations than things being operated on. I would want to mix some functional programming patterns in, which makes the monad-like choice more reasonable.
Compose operations on buffers/data. These return operations, which also take buffers and data. The composition operation specifies which arguments are new inputs, and which are consumed by the next step. Doing this you can (at compile time) set up a type-safe graph of work to do, all without running anything.
The resulting composed operation would then have a setup (where you bind the logical device and anything you can do "early" before you need to have the expensive buffers ready), and an execute phase (where you feed it the expensive buffers and it generates output).
Or as another approach, find a compiler with coroutine support from c++2a and write it async yet procedurally.
Vulkan is a OOP API. It is not class-based, because it is C99 not C++. That can easily be fixed by using the official Vulkan-Hpp. You can consume it as vulkan.hpp which is part of the semi-official LunarG Vulkan SDK.
The usage would not be that different from vulkan.h though: you would probably have a member pointer/reference to a Device instance, or would have a VkDevice handle member in each object that needs it. Some higher level object would handle the lifetime of the Logical Device (e.g. your RenderingEngine class or such). The difference would be almost only esthetical: you would use device->command(...) instead of vkCommand(device, ...). vulkan.hpp does not seem to use proper RAII through constructors/destructors which is a shame.
Alternatively the user of your engine can manage the device. Though unlike OpenGL there is not much use for this. The user can make its own VkInstance and VkDevice if it also wishes to use Vulkan for something.
A recurring pattern I see in tutorials/code snippets from Vulkan apps is that most code is in 1 very big class.
That's not really specific to Vulkan. If you think about it, pretty much all C++ applications are one big class doing everything (only differences being how much the programmer bothers to delegate from it to some other class instances).

FSM vs become/unbecome in Akka

Akka provides two somewhat overlapping ways to manage actor states, Finite State Machines and unbecome/become. What are their respective benefits/drawbacks? When should one of them be chosen over the other?
FSM is a DSL that allows you to build more sophisticated, readable state machines than would be possible using the core actor API. You could potentially show the FSM code to a business person and they could validate the business rules.
The FSM DSL allows you to compose things together more cleanly. For example transitions allow you to factor out logic that would have to be duplicated across actor become behaviors. Also you can subscribe other actors to be notified of transitions which helps with decoupling and testing.
Also timers are integrated nicely into the DSL and things like cancellation are handled cleanly. Coding timeout messages using the scheduler has a number of gotchas.
The down side to FSM is that it's a DSL and a new syntax for other team members to digest. The up side is that it's a DSL and a much higher level abstraction. I think agilesteel's threshold of 2 states is a good one. But once you get past 2 states the benefits of FSM are really compelling.
Definitely read the FSM docs and the accompanying examples contrasting become and FSM.
One note re: "popping" a behavior using unbecome - the default behavior is to not use the behavior stacking. It is only relevant in a small number of use cases (ie, usually not state machines).
Become/Unbecome are very lightweight in contrast to FSMs. So unless you have more than 2 states (on/off for example) and/or complex state change policies I wouldn't convert Become/Unbecome to a full blown FSM. Other then that, I think there are only minor differences...Like for example FSMs give you a nice built in timer DSL:
setTimer("TimerName", msg, 5 seconds, repeat = true)
// ...
cancelTimer("TimerName")
Or for instance I'm not sure if it's possible in an FSM to "go back" to the previous state, there is only "go forward", since you have to explicitly specify which state to go to. Whereas unbecome gives you exactly that.

How should I design a mechanism in C++ to manage relatively generic entities within a simulation?

I would like to start my question by stating that this is a C++ design question, more then anything, limiting the scope of the discussion to what is accomplishable in that language.
Let us pretend that I am working on a vehicle simulator that is intended to model modern highway systems. As part of this simulation, entities will be interacting with each other to avoid accidents, stop at stop lights and perhaps eventually even model traffic enforcement with radar guns and subsequent exciting high speed chases.
Being a spatial simulation written in C++, it seems like it would be ideal to start with some kind of Vehicle hierarchy, with cars and trucks deriving from some common base class. However, a common problem I have run in to is that such a hierarchy is usually very rigidly defined, and introducing unexpected changes - modeling a boat for instance - tends to introduce unexpected complexity that tends to grow over time into something quite unwieldy.
This simple aproach seems to suffer from a combinatoric explosion of classes. Imagine if I created a MoveOnWater interface and a MoveOnGround interface, and used them to define Car and Boat. Then lets say I add RadarEquipment. Now I have to do something like add the classes RadarBoat and RadarCar. Adding more capabilities using this approach and the whole thing rapidly becomes quite unreasonable.
One approach I have been investigating to address this inflexibility issue is to do away with the inheritance hierarchy all together. Instead of trying to come up with a type safe way to define everything that could ever be in this simulation, I defined one class - I will call it 'Entity' - and the capabilities that make up an entity - can it drive, can it fly, can it use radar - are all created as interfaces and added to a kind of capability list that the Entity class contains. At runtime, the proper capabilities are created and attached to the entity and functions that want to use these interfaced must first query the entity object and check for there existence. This approach seems to be the most obvious alternative, and is working well for the time being. I, however, worry about the maintenance issues that this approach will have. Effectively any arbitrary thing can be added, and there is no single location in which all possible capabilities are defined. Its not a problem currently, when the total number of things is quite small, but I worry that it might be a problem when someone else starts trying to use and modify the code.
As one potential alternative, I pondered using the template system to achieve type safe while keeping the same kind of flexibility. I imagine I could create entities that inherited whatever combination of interfaces I wanted. Using these objects would entail creating a template class or function that used any combination of the interfaces. One example might be the simple move on road using just the MoveOnRoad interface, whereas more complex logic, like a "high speed freeway chase", could use methods from both MoveOnRoad and Radar interfaces.
Of course making this approach usable mandates the use of boost concept check just to make debugging feasible. Also, this approach has the unfortunate side effect of making "optional" interfaces all but impossible. It is not simple to write a function that can have logic to do one thing if the entity has a RadarEquipment interface, and do something else if it doesn't. In this regard, type safety is somewhat of a curse. I think some trickery with boost any may be able to pull it off, but I haven't figured out how to make that work and it seems like way to much complexity for what I am trying to achieve.
Thus, we are left with the dynamic "list of capabilities" and achieving the goal of having decision logic that drives behavior based on what the entity is capable of becomes trivial.
Now, with that background in mind, I am open to any design gurus telling me where I err'd in my reasoning. I am eager to learn of a design pattern or idiom that is commonly used to address this issue, and the sort of tradeoffs I will have to make.
I also want to mention that I have been contemplating perhaps an even more random design. Even though I my gut tells me that this should be designed as a high performance C++ simulation, a part of me wants to do away with the Entity class and object-orientated foo all together and uses a relational model to define all of these entity states. My initial thought is to treat entities as an in memory database and use procedural query logic to read and write the various state information, with the necessary behavior logic that drives these queries written in C++. I am somewhat concerned about performance, although it would not surprise me if that was a non-issue. I am perhaps more concerned about what maintenance issues and additional complexity this would introduce, as opposed to the relatively simple list-of-capabilities approach.
Encapsulate what varies and Prefer object composition to inheritance, are the two OOAD principles at work here.
Check out the Bridge Design pattern. I visualize Vehicle abstraction as one thing that varies, and the other aspect that varies is the "Medium". Boat/Bus/Car are all Vehicle abstractions, while Water/Road/Rail are all Mediums.
I believe that in such a mechanism, there may be no need to maintain any capability. For example, if a Bus cannot move on Water, such a behavior can be modelled by a NOP behavior in the Vehicle Abstraction.
Use the Bridge pattern when
you want to avoid a permanent binding
between an abstraction and its
implementation. This might be the
case, for example, when the
implementation must be selected or
switched at run-time.
both the abstractions and their
implementations should be extensible
by subclassing. In this case, the
Bridge pattern lets you combine the
different abstractions and
implementations and extend them
independently.
changes in the implementation of an
abstraction should have no impact on
clients; that is, their code should
not have to be recompiled.
Now, with that background in mind, I am open to any design gurus telling me where I err'd in my reasoning.
You may be erring in using C++ to define a system for which you as yet have no need/no requirements:
This approach seems to be the most
obvious alternative, and is working
well for the time being. I, however,
worry about the maintenance issues
that this approach will have.
Effectively any arbitrary thing can be
added, and there is no single location
in which all possible capabilities are
defined. Its not a problem currently,
when the total number of things is
quite small, but I worry that it might
be a problem when someone else starts
trying to use and modify the code.
Maybe you should be considering principles like YAGNI as opposed to BDUF.
Some of my personal favourites are from Systemantics:
"15. A complex system that works is invariably found to have evolved from a simple system that works"
"16. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over, beginning with a working simple system."
You're also worring about performance, when you have no defined performance requirements, and no problems with performance:
I am somewhat concerned about
performance, although it would not
surprise me if that was a non-issue.
Also, I hope you know about double-dispatch, which might be useful for implementing anything-to-anything interactions (it's described in some detail in More Effective C++ by Scott Meyers).

How can I decrease complexity in library without increasing complexity elsewhere?

I am tasked to maintain and update a library which allows a computer to send commands at a hardware device and then receive its response. Currently the code is setup in such a way that every single possible command the device can receive is sent via its own function. Code repetition is everywhere; a DRY advocate's worst nightmare.
Obviously there is much opportunity for improvement. The problem is each command has a different payload. Currently the data that is to be the payload is passed to each command function in the form of arguments. It's difficult to consolidate functionality without pushing the complexity to a level that calls the library.
When a response is received from the device its data is put into an object of a class solely responsible for holding this data, they do nothing else. There are hundreds of classes which do this. These objects are then used to access the returned data by the app layer.
My objectives:
Throughly reduce code repetition
Maintain similiar level of complexity at application layer
Make it easier to add new commands
My idea:
Have one function to send a command and one to receive (the receiving function is automatically called when a response from the device is detected). Have a struct holding all command/response data which will be passed to sending function and returned by receiving function. Since each command has a corresponding enum value, have a switch statement which sets up any command specific data for sending.
Is my idea the best way to do it? Is there a design pattern I could use here? I've looked and looked but nothing seems to fit my needs.
Thanks in advance! (Please let me know if clarification is necessary)
This reminds me of the REST vs. SOA debate, albeit on a smaller physical scale.
If I understand you correctly, right now you have calls like
device->DoThing();
device->DoOtherThing();
and then sometimes I get a callback like
callback->DoneThing(ThingResult&);
callback->DoneOtherTHing(OtherThingResult&)
I suggest that the user is the key component here. Do the current library users like the interface at the level it is designed? Is the interface consistent, even if it is large?
You seem to want to propose
device->Do(ThingAndOtherThingParameters&)
callback->Done(ThingAndOtherThingResult&)
so to have a single entry point with more complex data.
The downside from a library user perspective may that now I have to use a manual switch() or other type statement to tell what really happened. While the dispatching to the appropriate result callback used to be done for me, now you have made it a burden upon the library user.
Unless this bought me as a user some level of flexibility, that I as as user wanted I would consider this a step backwards.
For your part as an implementor, one suggestion would be to go to the generic form internally, and then offer both interfaces externally. Perhaps the old specific interface could even be auto-generated somehow.
Good Luck.
Well, your question implies that there is a balance between the library's complexity and the client's. When those are the only two choices, one almost always goes with making the client's life easier. However, those are rarely really the only two choices.
Now in the text you talk about a command processing architecture where each command has a different set of data associated with it. In the olden days, this would typically be implemented with a big honking case statement in a loop, where each case called a different routine with different parameters and perhaps some setup code. Grisly. McCabe complexity analysers hate this.
These days what you can do with an OO language is use dynamic dispatch. Create a base abstract "command" class with a standard "handle()" method, and have each different command inherit from it to add their own members (to represent the different "arguments" to the different commands). Then you create a big honking array of these at startup, usually indexed by the command ID. For languages like C++ or Ada it has to be an array of pointers to "command" objects, for the dynamic dispatch to work. Then you can just call the appropriate command object for the command ID you read from the client. The big honking case statement is now handled implicitly by the dynamic dispatch.
Where you can get the big savings in this scenario is in subclassing. Do you have several commands that use the exact same parameters? Make a subclass for them, and then derive all of those commands from that subclass. Do you have several commands that have to perform the same operation on one of the parameters? Make a subclass for them with that one method implemented for that operation, and then derive all those commands from that subclass.
Your first objective should be to produce a library that decouples higher software layers from the hardware. Users of your library shouldn't care that you have a hardware device that can execute a number of functions with a different payload. They should only care what the device does in a higher level. In this sense, it is in my opinion a good thing that every command is mapped to each one function.
My plan will be:
Identify the objects the higher data layers need to get the job done. Model the objects in C++ classes from their perspective, not from the perspective of the hardware
Define the interface of the library using the above objects
Start the implementation of the library. Perhaps an intermediate layer that maps software objects to hardware objects is necessary
There are many things you can do to reduce code repetition. You can use polymorphism. Define a class with the base functionality and extend it. You can also use utility classes, that implement functions needed for many commands.