ddd: Entity or VO - oop

Suppose I have a Passenger object that should contains Passport (government id) object. I am getting Passenger from PassengerRepository. PassengerRepository create request to server and obtain data (json) than parse received data and store inside repository.
I have confused because I want to store Passport as Entity and put it to PassportRepository but all information about password contains inside json than i received above.
I guess that I should use Passport as VO and put it inside Passenger (aggregate) object. Or I can create a PassengerService that will be include PassengerRepository and PassportRepository.
Any ideas?

Value objects are objects that are defined by their attributes - two instances with the same attribute values are essentially the same value. If this is correct for your Passport type, then it should be a VO.
If it is indeed a VO, then you are sorted - it can only be accessed via the aggregate.
If, however, this is not the case and a passport, in your domain, has an identity that remains constant regardless of attribute changes (someone changes their name, for instance), then you need to think whether, in your domain do Passport entities only have meaning when attached to a Person or not. If they do only have meaning in this context, then they also should only be accessed via the aggregate.

I would say that the Passport is a VO. A person can replace her passport which means a new passport (new serial) is issued. I think the Passport is an entity only for the government as it needs to keep track of each unique entity. For the rest of us, we don't care if the new passport has the same id as the old one. We care about having a valid passport.

Related

How to create relationships in a RESTful API

I have 2 tables, User table and User_token table, they are one to one/none relatonship, not sure how to create this RESTful API.
i prefer to setup
# to get user attributes
GET /users/123
# to get user's token
GET /users/123/token
or should i create
# to get user attributes and token by JOIN the table
GET /users/123
the argument we have here, if we are doing the first setup, which i like it, it takes thousands of API requests compare to second one
that is depend you requirement.
for example if you need User Attributes and Token every time than
# to get user attributes and token by JOIN the table
GET /users/123
is better.
other wise another approach is good to get required data when needed.
REST has nothing to do with your database structure.
Your resources can contain properties or sub-resources. Every resource has at least one resource identifier (URL).
So in your case the GET /users/123 is a valid solution.

Identifier in DTO when POSTing in Web API?

I have a Web API and I am using DTOs to abstract the underlying data model from the client. I have [at the moment] one DTO per controller. This DTO in all cases contains the database id of the data being passed about. On a GET, PUT, DELETE this makes sense (although DELETE and GET just use the id and not the DTO on the request obviously), but on the POST it doesn't make sense as the new data being added has no id yet.
In other words I am asking the client to pass to the API a structure that includes an Id field but I will ignore the content of that Id field. Is this acceptable or should I create an UpdateDTO and a RetrieveDto?
Keep the data structure you have. Make the Id field optional. If the value of Id is set when a POST comes in, return an error.

How to design RESTful URL with many input parameters

I am working to create a Java based RESTful API that uses Spring MVC.
Now for some of the API endpoints-- multiple different parameters are required... I am not talking about a list of values-- more like parameter1, parameter2, parameter3, parameter4 and so on-- where all the 4 (or more) parameters are of different data types as well.
How do I design the API endpoint URL for the above scenario, eg for 4 separate input parameters? Is there any recommended way/best practice for doing this? Or do I simply concatenate the 4 values, with ach pair of values separated by a delimiter like "/"?
EDIT from user comment:
Example: I have to retrieve a custom object(a 'file') based on 4 input parameters--(Integer) userid, (Integer) fileid, (String) type, and (String) usertype. Should I simply create a REST Endpoint like "getfile/{userid}/{fileid}/{type}/{usertype}-- or is there a better (or recommended way) to construct such REST endpoints?
In REST start by thinking about the resource and coming up with immutable permalinks (doesn't change)to identify that resource.
So, in your example (in comment), you said you want to retrieve a file resource for a user and type (file type or user type?)
So, start with just enough information to identify the resource. If the id is unique, then this is enough to identify the resource regardless of the user who owns the file:
/files/{fileId}
That's also important as the url if a file could change owners - remember we want to identify the resource with just the components needed so it can be a permalink.
You could also list the files for a specific user:
/users/{userId}/files/
The response would contain a list of files and each of those items in the list would contain links to the files (/files/{fileId})
If for some reason the file id is not unique but is unique only in the context of a user (files don't change owners and id increments within a user - wierd) then you would need these components to identify the resource:
/users/{userId}/files/{fileId}
Also note the order based on the description. In that wierd case, we said the files are logically contained and IDed by the user and that's also the containment in the url structure.
Hope that helps.
A GET request to file/{usertype}/{user}/{type}/{fileid} sounds good

What exactly is the session_hash?

I have a question regarding one of the shopify data elements.
During the web hook stage, I receive the orders data.
Inside this data, under the "client_details" section, there is a field called "session_hash".
I was wondering what kind of data is it (e.g. the session_id), and which hash function you use to generate it.
The session_hash variable is a secure hash of the session id we use to identify individual customers (as you correctly surmise).
You can use it to identify a particular user session, but that's about it. You can't deconstruct the hash to obtain the original session id for obvious security reasons.

Update an entity inside an aggregate

I was reading a similar question on SO: How update an entity inside Aggregate, but I'm still not sure how a user interface should interact with entities inside an aggregate.
Let's say I have a User, with a bunch of Addresses. User is the aggregate root, while Address only exists within the aggregate.
On a web inteface, a user can edit his addresses. Basically, what happens is:
The user sees a list of addresses on its web interface
He clicks on an address, and gets redirected to this page: edit-address?user=1&address=2
On this page, he gets a form where he can modify this address.
I we decided to bypass the aggregate root, this would be straightforward:
We would directly load the Address with its Id
We would update it, then save it
Because we want to do it the DDD way, we have different solutions:
Either we ask the User to get this Address by Id:
address = user.getAddress(id);
address.setPostCode("12345");
address.setCity("New York");
em.persist(user);
The problem with this approach is, IMO, that the aggregate root still doesn't have much more control over what's done with the address. It just returns a reference to it, so that's not much different from bypassing the aggregate.
Or we tell the aggregate to update an existing address:
user.updateAddress(id, "12345", "New York");
em.persist(user);
Now the aggregate has control over what's done with this address, and can take any necessary action that goes with updating an address.
Or we treat the Address as a value object, and we don't update our Address, but rather delete it and recreate it:
user.removeAddress(id);
address = new Address();
address.setPostCode("12345");
address.setCity("New York");
user.addAddress(address);
em.persist(user);
This last solution looks elegant, but means that an Address cannot be an Entity. Then, what if it needs to be treated as an entity, for example because another business object within the aggregate has a reference to it?
I'm pretty sure I'm missing something here to correctly understand the aggregate concept and how it's used in real life examples, so please don't hesitate to give your comments!
No, you're not missing anything - in most cases the best option would be number 2 (although I'd call that method changeAddress instead of updateAdress - update seems so not-DDD) and that's regardless whether an address is an Entity or Value Object. With Ubiquitous Language you'd rather say that User changed his address, so that's exactly how you should model it - it's the changeAddress method that gets to decide whether update properties (if Address is an Entity) or assign completely new object (when it's VO).
The following sample code assumes the most common scenario - Address as VO:
public void ChangeAddress(AddressParams addressParams)
{
// here we might include some validation
address = new Address(addressParams);
// here we might include additional actions related with changing address
// for example marking user as required to confirm address before
// next billing
}
What is important in this sample, is that once Address is created, it is considered valid - there can be no invalid Address object in your aggregate. Bare in mind however, that whether you should follow this sample or not depends on your actual domain - there's no one path to follow. This one is the most common one though.
And yes, you should always perform operations on your entities by traversing through aggregate root - the reason for this was given in many answers on SO (for example in this Basic Aggregate Question).
Whether something is an entity or VO depends on the requirements and your domain. Most of the time address is just a Value Object, because there's no difference between two addresses with the same values and addresses tend to not change during their lifetime. But again, that's most of the time and depends on domain you're modeling.
Another example - for most of the domains a Money would be a Value Object - 10$ is 10$, it has no identity besides amount. However if you'd model a domain that deals with money on a level of bills, each bill would have its own identity (expressed with a unique number of some sort) thus it would be an Entity.