A fresh take on DCI with C++ (with example)
I’ve been reading quite a lot about DCI recently, both from the point of view of the original paper published in 2009 and various other sources on the Internet. There’s been a discussion around beginning to use it with Ruby on Rails, but at the moment I’m more interested in how to apply the principles to Sol Trader in C++.
What is DCI?
DCI stands for Data, Context and Interaction. It places behaviour at the forefront of your design by setting the stage for a particular use-case through Context objects, and having all the behaviour exist in Role objects seperate to your basic persisted Data objects. For example, you might have an Account
“Data” class, which just contains the data representation and basic methods such as IncrementBalance
and DecrementBalance
. You’d then have a use-case TransferMoney
with two roles: SourceAccount
and DestinationAccount
. These roles would be played by Account
objects, but the behaviour of the objects would depend on the roles they play in the use case. The behaviour of the system is therefore captured in one place: it’s in the interaction between the roles within a particular use case context, rather than being spread all over different data classes.
This design paradigm is very interesting. We’ve known for a while that if you mix persistence and behaviour you’ll get into somewhat of a mess with your code design after a while. What’s new is that whilst we avoid mixing persistence and behaviour, we still often mix data and behaviour: that is, we put code describing what the object does in the same class as the code which describes what it is. This is a subtle violation of the Single Responsibility Principle; I hadn’t noticed this violation before reading about DCI.
The proponents of DCI advocate injecting methods describing the Role in any given use case directly into the data object when setting the use case up. This is easy in a language like Smalltalk or Ruby, but is considerably harder in C++. What approach should we take in C++ with Roles? Is this the right approach at all?
The templating method for injection of role behaviour
One way around this it to use templates: subclass your Data objects with a templated class which includes the roles you want the object to play. For example, to take our account example earlier, we could have:
We would also have a similar set up for SourceAccount
. This way we can pass a pointer to the DestinationAccount
interface to our Context to set up the use case:
The DataClass would then instantiate itself from the account id and the role contains the description of the behaviour.
In practice however, I found this extremely unwieldy. My data classes all had slightly different interfaces, especially as many of them served as API endpoints. The templates ended up being ‘clever’ code - they saved very little space at the expense of a good amount of readability. The whole point of DCI is to try and capture behaviour in the Role classes to improve readability and create a cleaner design, and this approach wasn’t serving that purpose. There might be better ways of doing it, and I’d be grateful if you’d let me know if you know of a better approach.
The composition method for roles
The DCI literature teaches us to inject behaviour into the Data objects, to prevent self schizophrenia. For complex use cases, I can see that it would be useful for roles to have access to the methods defined on data objects: but perhaps it would be better to have simpler use cases and have roles only be defined in terms of other roles? In that instance, the roles can simply compose the data objects and expose whichever methods seem appropriate to the other roles in the use case.
A worked example
As an example, consider this use case that came up recently in Sol Trader: I have a MarketListing
object which contains a particlar Good
(such as Grain, or Water) available at a certain price. The GUI displays a list of these MarketListing
objects in a table format. Whenever a change was detected to any of the listings I would clear the table and reconstruct the gui elements, rather than updating the original elements.
This worked fine, until I realised that the GUI library I’m using did not expect GUI elements to be deleted and recreated under the mouse cursor, and wouldn’t fire “click” events correctly at the newly created elements.
Therefore I needed a way to synchronise the GUI table with the MarketListings
somehow, add new listings that have appeared, update the text of any existing listings, and remove old elements that refer to listings that no longer exist in the set. I decided to try to implement this using DCI, using the composition approach to roles I’ve discussed.
The use case is quite simple:
- For each source data structure:
- Does it already exist? If so, update the elements
- If not, create new elements
- Remove any elements that weren’t checked this run
After writing some tests, I started with the following context object:
Note the two role objects, TableSource
and TableRepresentation
. I’ll come back to those later.
execute()
and checkRow()
were defined like this:
(In C++ you can’t easily enumerate, so I used boost::bind to call checkRow()
on each row in the _source
object.)
This code is beautifully simple, and very close to the pseudo code I wrote earlier.
Implementing TableRepresentation
What does this context require of the roles? Here are the methods needed for TableRepresentation
, taken directly from the context above:
This object is created with the data it needs to manipulate: in this case a Rocket::Core::Element
object. When it needs to update elements, it is passed a TableSource
role to give it the relevent data. Here’s some of the code for the addRowFor()
method:
There’s a lot of noise here, but note the use of source
. The code creates a new li
element, gets the column list from the source and then asks the source for the string data for a particular row using rowFor()
. The roles are interacting to provide the behaviour of the use case.
Implementing TableSource
TableSource
needed to be an interface in the end to manage both viewing a series of MarketListings
and also a player Inventory
. Here are the methods:
For a MarketListing
, here’s the implementation of the key methods that the TableRepresentation
needs:
The player Inventory
table source code is very similar.
Tying it together
How do I use this thing? Inside my controller for updating the GUI window, I do the following:
In each case the TableRepresentation
is the same, with a different target element, and the source is different depending on what I want to show for that table.
In conclusion
I could have simply used a list of MarketListing
objects instead of my TableSource
, and manipulated the Element
objects in the GUI directly. That’s what I did at first, but this approach gives me a number of advantages:
- The code for enumerating rows, and exposing certain data to to the GUI is kept out of
MarketListing
, which is great: it only makes sense in this Context which is exactly what a role is for. - The actual guts of the synchronisation code is kept in the Context. I’m not sure this is the best place, but it’s great to have it in one place.
- It was trivial to add a
role::InventoryDataSource
object: in another 30 minutes or so I had TDDed out the display of inventories of goods using the same Context and slightly different roles. - I could potentially replace the
TableRepresentation
with anything which we need to sync lists of tabular data with.
I tested this using some real CommodityMarket
objects, which contain MarketListing
objects: I poked new goods into them and checked the elements were being created and removed successfully.
Here’s a screenshot of the market at work:
In summary, I’m very pleased with how this turned out. There is a bit more code than just hard wiring it, but all my behaviour is in one place, and I’ve not loaded my market and goods classes with yet more functionality. I’m now looking for other use cases to implement using a similar method, as I move on to building a realistic (as opposed to random) economy.
How do you like my approach to DCI? Have I missed something profound, or how could I improve my approach?