Proper place for human-readable representation of entity-based key - zend-framework

First some background. We recently converted from a Zend_Db_Table-based solution to entity-based solution (Doctrine). As our application grew, the table classes grew uglier and uglier. Some of the tables used ENUM columns to store string-based keys, which were converted into human-readable strings with static methods. Something like this:
public static function getProductType($productKey)
{
if (!array_key_exists($productKey, self::$productTypes)) {
return null;
}
return self::$productTypes[$productKey];
}
public static function getProductTypes()
{
return self::$productTypes;
}
In moving to the entity-based system, I tried to avoid static methods where possible. I moved the key to value translations into a view helper and called it a day. In the end, I found that it was not sufficient, as we needed to return them in JSON objects, which occurred outside of the presentation layer (i.e. no direct access to view helpers).
Does anyone have any theories on the proper place for these types of methods? Should I create separate objects for doing the translation from key to human-readable value, implement static methods on the entity object, or something else?

Well my theory is that this should be done in the model itself. But sometimes when dealing with a complex model, I like to create a separate class that handles any special "presentation" of that model. It takes the model as an argument and encapsulates the presentation logic.
So using your example, perhaps something like this:
class Model_Product
{
public static function getAllTypes()
{
return array(/* key-value pairs */);
}
//returns non human readable value
public function getType()
{
return $this->_type;
}
}
class Model_Product_Presenter
{
protected $_model;
public function __construct(Model_Product $model)
{
$this->_model = $model;
}
//returns human readable value
public function getType()
{
$types = $this->_model->getAllTypes();
if (!array_key_exists($this->_model->type, $types)) {
return null;
}
return $types[$this->_model->type];
}
public function getDateCreated($format = "Y-m-d")
{
return date($format,$this->_model->timestamp);
}
}
You can go further and create a base presenter class to define any common tasks, i.e. converting timestamps to dates, formatting numbers, etc.
Update:
For anonymous access to a list of product types, I don't see any harm in making it the responsibility of the product model via a static method. Not all static methods are evil. In my opinion, the use of static methods for this purpose is fine, because it declares a global constant.
In a more complex scenario, I would delegate this responsibility to a separate class like Model_ProductType. Here is an example of such a complex model in production:
https://github.com/magento/magento2/blob/master/app/code/core/Mage/Catalog/Model/Product/Type.php

Related

How can an abstract implement an interface?

I have a common interface that describes access to the output stream like this:
interface IOutput {
function writeInteger(aValue:Int):Void;
}
And I have an abstract implementation of this interface based on standard haxe.io.BytesOutput class:
abstract COutput(BytesOutput) from BytesOutput {
public inline function new(aData:BytesOutput) {
this = aData;
}
public inline function writeInteger(aValue:Int):Void {
this.writeInt32(aValue);
}
}
Though this abstract is truly implementing interface described above there's no direct reference to interface and when I'm trying to use it like this:
class Main {
public static function out(aOutput:IOutput) {
aOutput.writeInteger(0);
}
public static function main() {
var output:COutput = new BytesOutput();
out(output); // type error
}
}
Compiler throws an error: COutput should be IOutput. I can solve this problem only through using common class that wraps BytesOutput and implements IOutput.
My question is how to show the Haxe compiler that the abstract implements the interface.
Abstracts can't implement interfaces because they're a compile-time feature and don't exist at runtime. This conflicts with interfaces, they do exist at runtime and dynamic runtime checks like Std.is(something, IOutput) have to work.
Haxe also has a mechanism called structural subtyping that can be used as an alternative to interfaces. With this approach, there's no need for an explicit implements declaration, it's good enough if something unifies with a structure:
typedef IOutput = {
function writeInteger(aValue:Int):Void;
}
Unfortunately, abstracts aren't compatible with structural subtyping either due to the way they're implemented.
Have you considered using static extensions instead? At least for your simple example, that seems like the perfect solution for making a writeInteger() method available for any haxe.io.Output:
import haxe.io.Output;
import haxe.io.BytesOutput;
using Main.OutputExtensions;
class Main {
static function main() {
var output = new BytesOutput();
output.writeInteger(0);
}
}
class OutputExtensions {
public static function writeInteger(output:Output, value:Int):Void {
output.writeInt32(value);
}
}
You could even combine this with structural subtyping so writeInteger() becomes available on anything that has a writeInt32() method (try.haxe link):
typedef Int32Writable = {
function writeInt32(value:Int):Void;
}
As #Gama11 states, abstracts cannot implement interfaces. In Haxe, for type to implement an interface, it must be able to be compiled to something class-like that can be called using the interface’s methods without any magic happening. That is, to use a type as its interface, there needs to be a “real” class implementing that type. Abstracts in Haxe compile down to their base type—the abstract itself is entirely invisible after compilation happens. Thus, at runtime, there is no instance of a class with the methods defined in your abstract which implement the interface.
However, you can make your abstract appear to implement an interface by defining an implicit conversion to the interface you are trying to implement. For your example, the following might work:
interface IOutput {
function writeInteger(aValue:Int):Void;
}
abstract COutput(BytesOutput) from BytesOutput {
public inline function new(aData:BytesOutput) {
this = aData;
}
#:to()
public inline function toIOutput():IOutput {
return new COutputWrapper((cast this : COutput));
}
public inline function writeInteger(aValue:Int):Void {
this.writeInt32(aValue);
}
}
class COutputWrapper implements IOutput {
var cOutput(default, null):COutput;
public function new(cOutput) {
this.cOutput = cOutput;
}
public function writeInteger(aValue:Int) {
cOutput.writeInteger(aValue);
}
}
class Main {
public static function out(aOutput:IOutput) {
aOutput.writeInteger(0);
}
public static function main() {
var output:COutput = new BytesOutput();
out(output);
out(output);
}
}
Run on try.haxe.org
Note that, each time an implicit conversion happens, a new instance of the wrapper will be constructed. This may have performance implications. If you only access your value through its interface, consider setting the type of your variable to the interface rather than the abstract.
This is similar to “boxing” a primitive/value type in C#. In C#, value types, defined using the struct keyword, are allowed to implement interfaces. Like an abstract in Haxe, a value type in C# is compiled (by the JITter) into untyped code which simply directly accesses and manipulates the value for certain operations. However, C# allows structs to implement interfaces. The C# compiler will translate any attempt to implicitly cast a struct to an implemented interface into the construction of a wrapper class which stores a copy of the value and implements the interface—similar to our manually authored wrapper class (this wrapper class is actually generated by the runtime as part of JITing and is performed by the IL box instruction. See M() in this example). It is conceivable that Haxe could add a feature to automatically generate such a wrapper class for you like C# does for struct types, but that is not currently a feature. You may, however, do it yourself, as exemplified above.

public static class or const

Should I rather create a public static class or use internal constants?
I am working on a very large application and noticed the use of const string at numerous places.This is used to compare the users selection
const string Thatch = "Thatch";
const string BrickAndTimberFrame= "Brick And Timber Frame";
const string OtherRoof = "Other";
etc......
etc......
What I want to do is to rather create public static class in the Core Application (see code below). The reason for this is that I only have to change/add a value at one place only.
public static class RoofConstruction
{
public static String Thatch{ get { return "Thatch"; } }
public static String BrickAndTimberFrame { get { return "Brick And Timber Frame"; } }
etc....
etc....
}
The compare function will then look like this
internal bool SlateTileOrConcreteRoof()
{
return RiskInformation.RoofConstruction.Value == RoofConstruction.Slate ||
RiskInformation.RoofConstruction == RoofConstruction.TileAndSlate ||
RiskInformation.RoofConstruction == RoofConstruction.Concrete;
}
Please add any comments/improvements etc
Generally speaking, I think that “the defining characteristic of ‘a Good Class™’,” is that “it does the right thing, nevermind(!) ‘how, exactly,” it does it.”
When you export constants from the class, this suggests that an unknown-number of other sections of the application (present and future ...) will contain logic that tests against that string.
Therefore, the question that only you can really answer: “do they really care about ‘the value of that string,’ or do they want ‘the answer to a yes-or-no question, which is answered in part based on the value of that string?’” This might guide your decision about what is best to do. (Mind you, I do not think that there is any sort of bright-line rule. I have done it both ways...)

How do you refactor a God class?

Does anyone know the best way to refactor a God-object?
Its not as simple as breaking it into a number of smaller classes, because there is a high method coupling. If I pull out one method, i usually end up pulling every other method out.
It's like Jenga. You will need patience and a steady hand, otherwise you have to recreate everything from scratch. Which is not bad, per se - sometimes one needs to throw away code.
Other advice:
Think before pulling out methods: on what data does this method operate? What responsibility does it have?
Try to maintain the interface of the god class at first and delegate calls to the new extracted classes. In the end the god class should be a pure facade without own logic. Then you can keep it for convenience or throw it away and start to use the new classes only
Unit Tests help: write tests for each method before extracting it to assure you don't break functionality
I assume "God Object" means a huge class (measured in lines of code).
The basic idea is to extract parts of its functions into other classes.
In order to find those you can look for
fields/parameters that often get used together. They might move together into a new class
methods (or parts of methods) that use only a small subset of the fields in the class, the might move into a class containing just those field.
primitive types (int, String, boolean). They often are really value objects before their coming out. Once they are value object, they often attract methods.
look at the usage of the god object. Are there different methods used by different clients? Those might go in separate interfaces. Those intefaces might in turn have separate implementations.
For actually doing these changes you should have some infrastructure and tools at your command:
Tests: Have a (possibly generated) exhaustive set of tests ready that you can run often. Be extremely careful with changes you do without tests. I do those, but limit them to things like extract method, which I can do completely with a single IDE action.
Version Control: You want to have a version control that allows you to commit every 2 minutes, without really slowing you down. SVN doesn't really work. Git does.
Mikado Method: The idea of the Mikado Method is to try a change. If it works great. If not take note what is breaking, add them as dependency to the change you started with. Rollback you changes. In the resulting graph, repeat the process with a node that has no dependencies yet. http://mikadomethod.wordpress.com/book/
According to the book "Object Oriented Metrics in Practice" by Lanza and Marinescu, The God Class design flaw refers to classes that tend to centralize the intelligence of the system. A God Class performs too much work on its own, delegating only minor details to a set of trivial classes and using the data from other classes.
The detection of a God Class is based on three main characteristics:
They heavily access data of other simpler classes, either directly or using accessor methods.
They are large and complex
They have a lot of non-communicative behavior i.e., there is a low
cohesion between the methods belonging to that class.
Refactoring a God Class is a complex task, as this disharmony is often a cumulative effect of other disharmonies that occur at the method level. Therefore, performing such a refactoring requires additional and more fine-grained information about the methods of the class, and sometimes even about its inheritance context. A first approach is to identify clusters of methods and attributes that are tied together and to extract these islands into separate classes.
Split Up God Class method from the book "Object-Oriented Reengineering Patterns" proposes to incrementally redistribute the responsibilities of the God Class either to its collaborating classes or to new classes that are pulled out of the God Class.
The book "Working Effectively with Legacy Code" presents some techniques such as Sprout Method, Sprout Class, Wrap Method to be able to test the legacy systems that can be used to support the refactoring of God Classes.
What I would do, is to sub-group methods in the God Class which utilize the same class properties as inputs or outputs. After that, I would split the class into sub-classes, where each sub-class will hold the methods in a sub-group, and the properties which these methods utilize.
That way, each new class will be smaller and more coherent (meaning that all their methods will work on similar class properties). Moreover, there will be less dependency for each new class we generated. After that, we can further reduce those dependencies since we can now understand the code better.
In general, I would say that there are a couple of different methods according to the situation at hand. As an example, let's say that you have a god class named "LoginManager" that validates user information, updates "OnlineUserService" so the user is added to the online user list, and returns login-specific data (such as Welcome screen and one time offers)to the client.
So your class will look something like this:
import java.util.ArrayList;
import java.util.List;
public class LoginManager {
public void handleLogin(String hashedUserId, String hashedUserPassword){
String userId = decryptHashedString(hashedUserId);
String userPassword = decryptHashedString(hashedUserPassword);
if(!validateUser(userId, userPassword)){ return; }
updateOnlineUserService(userId);
sendCustomizedLoginMessage(userId);
sendOneTimeOffer(userId);
}
public String decryptHashedString(String hashedString){
String userId = "";
//TODO Decrypt hashed string for 150 lines of code...
return userId;
}
public boolean validateUser(String userId, String userPassword){
//validate for 100 lines of code...
List<String> userIdList = getUserIdList();
if(!isUserIdValid(userId,userIdList)){return false;}
if(!isPasswordCorrect(userId,userPassword)){return false;}
return true;
}
private List<String> getUserIdList() {
List<String> userIdList = new ArrayList<>();
//TODO: Add implementation details
return userIdList;
}
private boolean isPasswordCorrect(String userId, String userPassword) {
boolean isValidated = false;
//TODO: Add implementation details
return isValidated;
}
private boolean isUserIdValid(String userId, List<String> userIdList) {
boolean isValidated = false;
//TODO: Add implementation details
return isValidated;
}
public void updateOnlineUserService(String userId){
//TODO updateOnlineUserService for 100 lines of code...
}
public void sendCustomizedLoginMessage(String userId){
//TODO sendCustomizedLoginMessage for 50 lines of code...
}
public void sendOneTimeOffer(String userId){
//TODO sendOneTimeOffer for 100 lines of code...
}}
Now we can see that this class will be huge and complex. It is not a God class by book definition yet, since class fields are commonly used among methods now. But for the sake of argument, we can treat it as a God class and start refactoring.
One of the solutions is to create separate small classes which are used as members in the main class. Another thing you could add, could be separating different behaviors in different interfaces and their respective classes. Hide implementation details in classes by making those methods "private". And use those interfaces in the main class to do its bidding.
So at the end, RefactoredLoginManager will look like this:
public class RefactoredLoginManager {
IDecryptHandler decryptHandler;
IValidateHandler validateHandler;
IOnlineUserServiceNotifier onlineUserServiceNotifier;
IClientDataSender clientDataSender;
public void handleLogin(String hashedUserId, String hashedUserPassword){
String userId = decryptHandler.decryptHashedString(hashedUserId);
String userPassword = decryptHandler.decryptHashedString(hashedUserPassword);
if(!validateHandler.validateUser(userId, userPassword)){ return; }
onlineUserServiceNotifier.updateOnlineUserService(userId);
clientDataSender.sendCustomizedLoginMessage(userId);
clientDataSender.sendOneTimeOffer(userId);
}
}
DecryptHandler:
public class DecryptHandler implements IDecryptHandler {
public String decryptHashedString(String hashedString){
String userId = "";
//TODO Decrypt hashed string for 150 lines of code...
return userId;
}
}
public interface IDecryptHandler {
String decryptHashedString(String hashedString);
}
ValidateHandler:
public class ValidateHandler implements IValidateHandler {
public boolean validateUser(String userId, String userPassword){
//validate for 100 lines of code...
List<String> userIdList = getUserIdList();
if(!isUserIdValid(userId,userIdList)){return false;}
if(!isPasswordCorrect(userId,userPassword)){return false;}
return true;
}
private List<String> getUserIdList() {
List<String> userIdList = new ArrayList<>();
//TODO: Add implementation details
return userIdList;
}
private boolean isPasswordCorrect(String userId, String userPassword)
{
boolean isValidated = false;
//TODO: Add implementation details
return isValidated;
}
private boolean isUserIdValid(String userId, List<String> userIdList)
{
boolean isValidated = false;
//TODO: Add implementation details
return isValidated;
}
}
Important thing to note here is that the interfaces () only has to include the methods used by other classes. So IValidateHandler looks as simple as this:
public interface IValidateHandler {
boolean validateUser(String userId, String userPassword);
}
OnlineUserServiceNotifier:
public class OnlineUserServiceNotifier implements
IOnlineUserServiceNotifier {
public void updateOnlineUserService(String userId){
//TODO updateOnlineUserService for 100 lines of code...
}
}
public interface IOnlineUserServiceNotifier {
void updateOnlineUserService(String userId);
}
ClientDataSender:
public class ClientDataSender implements IClientDataSender {
public void sendCustomizedLoginMessage(String userId){
//TODO sendCustomizedLoginMessage for 50 lines of code...
}
public void sendOneTimeOffer(String userId){
//TODO sendOneTimeOffer for 100 lines of code...
}
}
Since both methods are accessed in LoginHandler, interface has to include both methods:
public interface IClientDataSender {
void sendCustomizedLoginMessage(String userId);
void sendOneTimeOffer(String userId);
}
There are really two topics here:
Given a God class, how its members be rationally partitioned into subsets? The fundamental idea is to group elements by conceptual coherency (often indicated by frequent co-usage in client modules) and by forced dependencies. Obviously the details of this are specific to the system being refactored. The outcome is a desired partition (set of groups) of God class elements.
Given a desired partition, actually making the change. This is difficult if the code base has any scale. Doing this manually, you are almost forced to retain the God class while you modify its accessors to instead call new classes formed from the partitions. And of course you need to test, test, test because it is easy to make a mistake when manually making these changes. When all accesses to the God class are gone, you can finally remove it. This sounds great in theory but it takes a long time in practice if you are facing thousands of compilation units, and you have to get the team members to stop adding accesses to the God interface while you do this. One can, however, apply automated refactoring tools to implement this; with such a tool you specify the partition to the tool and it then modifies the code base in a reliable way. Our DMS can implement this Refactoring C++ God Classes and has been used to make such changes across systems with 3,000 compilation units.

Wicket - Wrapped collection Model "transformation"

I have a domain object which has a collection of primitive values, which represent the primary keys of another domain object ("Person").
I have a Wicket component that takes IModel<List<Person>>, and allows you to view, remove, and add Persons to the list.
I would like to write a wrapper which implements IModel<List<Person>>, but which is backed by a PropertyModel<List<Long>> from the original domain object.
View-only is easy (Scala syntax for brevity):
class PersonModel(wrappedModel: IModel[List[Long]]) extends LoadableDetachableModel[List[Person]] {
#SpringBean dao: PersonDao =_
def load: List[Person] = {
// Returns a collection of Persons for each id
wrappedModel.getObject().map { id: Long =>
dao.getPerson(id)
}
}
}
But how might I write this to allow for adding and removing from the original List of Longs?
Or is a Model not the best place to do this translation?
Thanks!
You can do something like this:
class PersonModel extends Model<List<Person>> {
private transient List<Person> cache;
private IModel<List<String>> idModel;
public PersonModel( IModel<List<String>> idModel ) {
this.idModel = idModel;
}
public List<Person> getObject() {
if ( cache == null ) {
cache = convertIdsToPersons( idModel.getObject() );
return cache;
}
public void setObject( List<Person> ob ) {
cache = null;
idModel.setObject( convertPersonsToIds( ob ) );
}
}
This isn't very good code but it shows the general idea. One thing you need to consider is how this whole thing will be serialised between requests, you might be better off extending LoadableDetachableModel instead.
Another thing is the cache: it's there to avoid having to convert the list every time getObject() is called within a request. You may or may not need it in practice (depends on a lot of factors, including the speed of the conversion), but if you use it, it means that if something else is modifying the underlying collection, the changes may not be picked up by this model.
I'm not quite sure I understand your question and I don't understand the syntax of Scala.
But, to remove an entity from a list, you can provide a link that simply removes it using your dao. You must be using a repeater to populate your Person list so each repeater entry will have its own Model which can be passed to the deletion link.
Take a look at this Wicket example that uses a link with a repeater to select a contact. You just need to adapt it to delete your Person instead of selecting it.
As for modifying the original list of Longs, you can use the ListView.removeLink() method to get a link component that removes an entry from the backing list.

how can pass T dynamicaly in Ilist<T>?

i have a question.i have a method (Filter),i want to pass T dynamic.but it dosen`t accept.how can i do it?
public List<T> Filter<T>(string TypeOfCompare)
{
List<T> ReturnList2 = new List<T>();
return ReturnList2;
}
IList MakeListOfType(Type listType)
{
Type listType1 = typeof(List<>);
Type specificListType = listType.MakeGenericType(listType1);
return (IList)Activator.CreateInstance(specificListType);
}
Filter < ConstructGenericList(h) > ("s");
IList MakeListOfType(Type listType)
{
Type listType1 = typeof(List<>);
Type specificListType = listType.MakeGenericType(listType1);
return (IList)Activator.CreateInstance(specificListType);
}
It should be the other way round, you should call MakeGenericType on the generic type definition, not on the generic type argument. So the code becomes this:
IList MakeListOfType(Type elementType)
{
Type listType = typeof(List<>);
Type specificListType = listType.MakeGenericType(elementType);
return (IList)Activator.CreateInstance(specificListType);
}
(note that I changed the variables names to make the code clearer)
Generic parameters must have a type able to be determined at compile time (without resorting to something like functional type inference that some other languages have). So, you can't just stick a function between the angle brackets to get the type you want.
Edit:
Now that I know what you're trying to do, I would suggest a different approach entirely.
You mention that you are using Entity Framework, and you are trying to use one method to get a list of different types of objects. Those objects -- like Student and Teacher -- must have something in common, though, else you would not be trying to use the same method to retrieve a list of them. For example, you may just be wanting to display a name and have an ID to use as a key.
In that case, I would suggest defining an interface that has the properties common to Student, Teacher, etc. that you actually need, then returning a list of that interface type. Within the method, you would essentially be using a variant of the factory pattern.
So, you could define an interface like:
public interface INamedPerson
{
int ID { get; }
string FirstName { get; }
string LastName { get; }
}
Make your entities implement this interface. Auto-generated entities are (typically) partial classes, so in your own, new code files (not in the auto-generated code files themselves), you would do something like:
public partial class Student : INamedPerson
{
public int ID
{
get
{
return StudentId;
}
}
}
and
public partial class Teacher : INamedPerson
{
public int ID
{
get
{
return TeacherId;
}
}
}
Now, you may not even need to add the ID property if you already have it. However, if the identity property in each class is different, this adapter can be one way to implement the interface you need.
Then, for the method itself, an example would be:
public List<INamedPerson> MakeListOfType(Type type)
{
if (type == typeof(Student))
{
// Get your list of students. I'll just use a made-up
// method that returns List<Student>.
return GetStudentList().Select<Student, INamedPerson>(s => (INamedPerson)s)
.ToList<INamedPerson>();
}
if (type == typeof(Teacher))
{
return GetTeacherList().Select<Teacher, INamedPerson>(t => (INamedPerson)t)
.ToList<INamedPerson>();
}
throw new ArgumentException("Invalid type.");
}
Now, there are certainly ways to refine this pattern. If you have a lot of related classes, you may want to use some sort of dependency injection framework. Also, you may notice that there is a lot of duplication of code. You could instead pass a function (like GetStudentList or GetTeacherList) by doing something like
public List<INamedPerson> GetListFromFunction<T>(Func<IEnumerable<T>> theFunction) where T : INamedPerson
{
return theFunction().Select<T, INamedPerson>(t => (INamedPerson)t).ToList<INamedPerson>();
}
Of course, using this function requires, once again, the type passed in to be known at compile time. However, at some point, you're going to have to decide on a type, so maybe that is the appropriate time. Further, you can make your life a little simpler by leaving off the generic type at method call time; as long as you are passing in a function that takes no arguments and returns an IEnumerable of objects of the same type that implement INamedPerson, the compiler can figure out what to use for the generic type T.