Related
I am looking for the correct syntax to use an implicit operator on a class that uses an indexer to acess a private Dictionary:
[System.Serializable]
public class MyClass : IEnumerable
{
private Dictionary<string, object> vars = new Dictionary<string, object>();
public object this[string key]
{
get
{
if(vars.ContainsKey(key))
{
return (object)vars[key];
}
else
{
return null;
}
}
set
{
object o = value;
if(!vars.ContainsKey(key))
{
vars.Add(key, o);
}
else if(value == null)
{
vars.Remove(key);
}
else
{
vars[key] = o;
}
}
}
/*some code*/
public static implicit operator bool(WorldVars w, string i)
{
if(w[i] != null)
{
return true;
}
else
{
return false;
}
}
}
Right now the use is pretty straight forward
MyClass[anykey] = myValue
but I'd like to implement a quicker way to test the presence of a value, like:
if(MyClass[anykey])
{ //logic }
As commenter Eric notes, the semantics of your class would be completely broken if you were able to achieve what you're asking for. The whole point of the indexer is so that when you write the expression myClass[anyKey], it evaluates to the value that your class associates with anyKey.
If you were to change the implementation so that it simply returned a bool value representing containment, then you'd be stuck having to implement some other mechanism to actually retrieve the value (e.g. a separate method). Additionally, it would also raise the question of what the setter should do.
Given the implementation you show, it seems to me that writing if (myClass[anyKey] != null) is not really inconvenient, and it seems reasonably expressive to me. That is, it is a reasonable way for the code to clearly express its intent.
That said, if you did want something more expressive, it would not be unreasonable to write a ContainsKey() method in your class for the purpose:
public bool ContainsKey(string key) { return vars.ContainsKey(key); }
Then you could check for the key's presence like:
if (myClass.ContainsKey[anyKey]) { ... }
Finally, the code you posted should work acceptably well, but it seems overly verbose and inconsistent to me. IMHO, a better way to write your indexer methods would be something like this:
public object this[string key]
{
get
{
object o;
return vars.TryGetValue(key, out o) ? o : null;
}
set
{
if (value != null)
{
vars[key] = value;
}
else
{
vars.Remove(key);
}
}
}
That implementation avoids things like:
Redundant check for containment when getting a value
Copying value into local variable unnecessarily when setting a value
Having two different lines of code that each both have the effect of setting the value for a key in the dictionary
This question already has answers here:
C# elegant way to check if a property's property is null
(20 answers)
Closed 9 years ago.
Suppose, I have this interface,
interface IContact
{
IAddress address { get; set; }
}
interface IAddress
{
string city { get; set; }
}
class Person : IPerson
{
public IContact contact { get; set; }
}
class test
{
private test()
{
var person = new Person();
if (person.contact.address.city != null)
{
//this will never work if contact is itself null?
}
}
}
Person.Contact.Address.City != null (This works to check if City is null or not.)
However, this check fails if Address or Contact or Person itself is null.
Currently, one solution I could think of was this:
if (Person != null && Person.Contact!=null && Person.Contact.Address!= null && Person.Contact.Address.City != null)
{
// Do some stuff here..
}
Is there a cleaner way of doing this?
I really don't like the null check being done as (something == null). Instead, is there another nice way to do something like the something.IsNull() method?
In a generic way, you may use an expression tree and check with an extension method:
if (!person.IsNull(p => p.contact.address.city))
{
//Nothing is null
}
Full code:
public class IsNullVisitor : ExpressionVisitor
{
public bool IsNull { get; private set; }
public object CurrentObject { get; set; }
protected override Expression VisitMember(MemberExpression node)
{
base.VisitMember(node);
if (CheckNull())
{
return node;
}
var member = (PropertyInfo)node.Member;
CurrentObject = member.GetValue(CurrentObject,null);
CheckNull();
return node;
}
private bool CheckNull()
{
if (CurrentObject == null)
{
IsNull = true;
}
return IsNull;
}
}
public static class Helper
{
public static bool IsNull<T>(this T root,Expression<Func<T, object>> getter)
{
var visitor = new IsNullVisitor();
visitor.CurrentObject = root;
visitor.Visit(getter);
return visitor.IsNull;
}
}
class Program
{
static void Main(string[] args)
{
Person nullPerson = null;
var isNull_0 = nullPerson.IsNull(p => p.contact.address.city);
var isNull_1 = new Person().IsNull(p => p.contact.address.city);
var isNull_2 = new Person { contact = new Contact() }.IsNull(p => p.contact.address.city);
var isNull_3 = new Person { contact = new Contact { address = new Address() } }.IsNull(p => p.contact.address.city);
var notnull = new Person { contact = new Contact { address = new Address { city = "LONDON" } } }.IsNull(p => p.contact.address.city);
}
}
Your code may have bigger problems than needing to check for null references. As it stands, you are probably violating the Law of Demeter.
The Law of Demeter is one of those heuristics, like Don't Repeat Yourself, that helps you write easily maintainable code. It tells programmers not to access anything too far away from the immediate scope. For example, suppose I have this code:
public interface BusinessData {
public decimal Money { get; set; }
}
public class BusinessCalculator : ICalculator {
public BusinessData CalculateMoney() {
// snip
}
}
public BusinessController : IController {
public void DoAnAction() {
var businessDA = new BusinessCalculator().CalculateMoney();
Console.WriteLine(businessDA.Money * 100d);
}
}
The DoAnAction method violates the Law of Demeter. In one function, it accesses a BusinessCalcualtor, a BusinessData, and a decimal. This means that if any of the following changes are made, the line will have to be refactored:
The return type of BusinessCalculator.CalculateMoney() changes.
The type of BusinessData.Money changes
Considering the situation at had, these changes are rather likely to happen. If code like this is written throughout the codebase, making these changes could become very expensive. Besides that, it means that your BusinessController is coupled to both the BusinessCalculator and the BusinessData types.
One way to avoid this situation is rewritting the code like this:
public class BusinessCalculator : ICalculator {
private BusinessData CalculateMoney() {
// snip
}
public decimal CalculateCents() {
return CalculateMoney().Money * 100d;
}
}
public BusinessController : IController {
public void DoAnAction() {
Console.WriteLine(new BusinessCalculator().CalculateCents());
}
}
Now, if you make either of the above changes, you only have to refactor one more piece of code, the BusinessCalculator.CalculateCents() method. You've also eliminated BusinessController's dependency on BusinessData.
Your code suffers from a similar issue:
interface IContact
{
IAddress address { get; set; }
}
interface IAddress
{
string city { get; set; }
}
class Person : IPerson
{
public IContact contact { get; set; }
}
class Test {
public void Main() {
var contact = new Person().contact;
var address = contact.address;
var city = address.city;
Console.WriteLine(city);
}
}
If any of the following changes are made, you will need to refactor the main method I wrote or the null check you wrote:
The type of IPerson.contact changes
The type of IContact.address changes
The type of IAddress.city changes
I think you should consider a deeper refactoring of your code than simply rewriting a null check.
That said, I think that there are times where following the Law of Demeter is inappropriate. (It is, after all, a heuristic, not a hard-and-fast rule, even though it's called a "law.")
In particular, I think that if:
You have some classes that represent records stored in the persistence layer of your program, AND
You are extremely confident that you will not need to refactor those classes in the future,
ignoring the Law of Demeter is acceptable when dealing specifically with those classes. This is because they represent the data your application works with, so reaching from one data object into another is a way of exploring the information in your program. In my example above, the coupling caused by violating the Law of Demeter was much more severe: I was reaching all the way from a controller near the top of my stack through a business logic calculator in the middle of the stack into a data class likely in the persistence layer.
I bring this potential exception to the Law of Demeter up because with names like Person, Contact, and Address, your classes look like they might be data-layer POCOs. If that's the case, and you are extremely confident that you will never need to refactor them in the future, you might be able to get away with ignoring the Law of Demeter in your specific situation.
in your case you could create a property for person
public bool HasCity
{
get
{
return (this.Contact!=null && this.Contact.Address!= null && this.Contact.Address.City != null);
}
}
but you still have to check if person is null
if (person != null && person.HasCity)
{
}
to your other question, for strings you can also check if null or empty this way:
string s = string.Empty;
if (!string.IsNullOrEmpty(s))
{
// string is not null and not empty
}
if (!string.IsNullOrWhiteSpace(s))
{
// string is not null, not empty and not contains only white spaces
}
A totally different option (which I think is underused) is the null object pattern. It's hard to tell whether it makes sense in your particular situation, but it might be worth a try. In short, you will have a NullContact implementation, a NullAddress implementation and so on that you use instead of null. That way, you can get rid of most of the null checks, of course at the expense at some thought you have to put into the design of these implementations.
As Adam pointed out in his comment, this allows you to write
if (person.Contact.Address.City is NullCity)
in cases where it is really necessary. Of course, this only makes sense if city really is a non-trivial object...
Alternatively, the null object can be implemented as a singleton (e.g., look here for some practical instructions concerning the usage of the null object pattern and here for instructions concerning singletons in C#) which allows you to use classical comparison.
if (person.Contact.Address.City == NullCity.Instance)
Personally, I prefer this approach because I think it is easier to read for people not familiar with the pattern.
Update 28/04/2014: Null propagation is planned for C# vNext
There are bigger problems than propagating null checks. Aim for readable code that can be understood by another developer, and although it's wordy - your example is fine.
If it is a check that is done frequently, consider encapsulating it inside the Person class as a property or method call.
That said, gratuitous Func and generics!
I would never do this, but here is another alternative:
class NullHelper
{
public static bool ChainNotNull<TFirst, TSecond, TThird, TFourth>(TFirst item1, Func<TFirst, TSecond> getItem2, Func<TSecond, TThird> getItem3, Func<TThird, TFourth> getItem4)
{
if (item1 == null)
return false;
var item2 = getItem2(item1);
if (item2 == null)
return false;
var item3 = getItem3(item2);
if (item3 == null)
return false;
var item4 = getItem4(item3);
if (item4 == null)
return false;
return true;
}
}
Called:
static void Main(string[] args)
{
Person person = new Person { Address = new Address { PostCode = new Postcode { Value = "" } } };
if (NullHelper.ChainNotNull(person, p => p.Address, a => a.PostCode, p => p.Value))
{
Console.WriteLine("Not null");
}
else
{
Console.WriteLine("null");
}
Console.ReadLine();
}
The second question,
I really don't like the null check being done as (something == null). Instead, is there another nice way to do something like the something.IsNull() method?
could be solved using an extension method:
public static class Extensions
{
public static bool IsNull<T>(this T source) where T : class
{
return source == null;
}
}
If for some reason you don't mind going with one of the more 'over the top' solutions, you might want to check out the solution described in my blog post. It uses the expression tree to find out whether the value is null before evaluating the expression. But to keep performance acceptable, it creates and caches IL code.
The solution allows you do write this:
string city = person.NullSafeGet(n => n.Contact.Address.City);
You can write:
public static class Extensions
{
public static bool IsNull(this object obj)
{
return obj == null;
}
}
and then:
string s = null;
if(s.IsNull())
{
}
Sometimes this makes sense. But personally I would avoid such things... because this is is not clear why you can call a method of the object that is actually null.
Do it in a separate method like:
private test()
{
var person = new Person();
if (!IsNull(person))
{
// Proceed
........
Where your IsNull method is
public bool IsNull(Person person)
{
if(Person != null &&
Person.Contact != null &&
Person.Contact.Address != null &&
Person.Contact.Address.City != null)
return false;
return true;
}
Do you need C#, or do you only want .NET? If you can mix another .NET language, have a look at Oxygene. It's an amazing, very modern OO language that targets .NET (and also Java and Cocoa as well. Yep. All natively, it really is quite an amazing toolchain.)
Oxygene has a colon operator which does exactly what you ask. To quote from their miscellaneous language features page:
The Colon (":") Operator
In Oxygene, like in many of the languages it
was influenced by, the "." operator is used to call members on a class
or object, such as
var x := y.SomeProperty;
This "dereferences" the object contained in
"y", calls (in this case) the property getter and returns its value.
If "y" happens to be unassigned (i.e. "nil"), an exception is thrown.
The ":" operator works in much the same way, but instead of throwing
an exception on an unassigned object, the result will simply be nil.
For developers coming from Objective-C, this will be familiar, as that
is how Objective-C method calls using the [] syntax work, too.
... (snip)
Where ":" really shines is when accessing properties in a chain, where
any element might be nil. For example, the following code:
var y := MyForm:OkButton:Caption:Length;
will run without error, and
return nil if any of the objects in the chain are nil — the form, the
button or its caption.
try
{
// do some stuff here
}
catch (NullReferenceException e)
{
}
Don't actually do this. Do the null checks, and figure out what formatting you can best live with.
I have an extension that could be useful for this; ValueOrDefault(). It accepts a lambda statement and evaluates it, returning either the evaluated value or a default value if any expected exceptions (NRE or IOE) are thrown.
/// <summary>
/// Provides a null-safe member accessor that will return either the result of the lambda or the specified default value.
/// </summary>
/// <typeparam name="TIn">The type of the in.</typeparam>
/// <typeparam name="TOut">The type of the out.</typeparam>
/// <param name="input">The input.</param>
/// <param name="projection">A lambda specifying the value to produce.</param>
/// <param name="defaultValue">The default value to use if the projection or any parent is null.</param>
/// <returns>the result of the lambda, or the specified default value if any reference in the lambda is null.</returns>
public static TOut ValueOrDefault<TIn, TOut>(this TIn input, Func<TIn, TOut> projection, TOut defaultValue)
{
try
{
var result = projection(input);
if (result == null) result = defaultValue;
return result;
}
catch (NullReferenceException) //most reference types throw this on a null instance
{
return defaultValue;
}
catch (InvalidOperationException) //Nullable<T> throws this when accessing Value
{
return defaultValue;
}
}
/// <summary>
/// Provides a null-safe member accessor that will return either the result of the lambda or the default value for the type.
/// </summary>
/// <typeparam name="TIn">The type of the in.</typeparam>
/// <typeparam name="TOut">The type of the out.</typeparam>
/// <param name="input">The input.</param>
/// <param name="projection">A lambda specifying the value to produce.</param>
/// <returns>the result of the lambda, or default(TOut) if any reference in the lambda is null.</returns>
public static TOut ValueOrDefault<TIn, TOut>(this TIn input, Func<TIn, TOut> projection)
{
return input.ValueOrDefault(projection, default(TOut));
}
The overload not taking a specific default value will return null for any reference type. This should work in your scenario:
class test
{
private test()
{
var person = new Person();
if (person.ValueOrDefault(p=>p.contact.address.city) != null)
{
//the above will return null without exception if any member in the chain is null
}
}
}
Such a reference chain may occurre for example if you use an ORM tool, and want to keep your classes as pure as possible. In this scenario I think it cannot be avoided nicely.
I have the following extension method "family", which checks if the object on which it's called is null, and if not, returns one of it's requested properties, or executes some methods with it. This works of course only for reference types, that's why I have the corresponding generic constraint.
public static TRet NullOr<T, TRet>(this T obj, Func<T, TRet> getter) where T : class
{
return obj != null ? getter(obj) : default(TRet);
}
public static void NullOrDo<T>(this T obj, Action<T> action) where T : class
{
if (obj != null)
action(obj);
}
These methods add almost no overhead compared to the manual solution (no reflection, no expression trees), and you can achieve a nicer syntax with them (IMO).
var city = person.NullOr(e => e.Contact).NullOr(e => e.Address).NullOr(e => e.City);
if (city != null)
// do something...
Or with methods:
person.NullOrDo(p => p.GoToWork());
However, one could definetely argue about the length of code didn't change too much.
In my opinion, the equality operator is not a safer and better way for reference equality.
It's always better to use ReferenceEquals(obj, null). This will always work. On the other hand, the equality operator (==) could be overloaded and might be checking if the values are equal instead of the references, so I will say ReferenceEquals() is a safer and better way.
class MyClass {
static void Main() {
object o = null;
object p = null;
object q = new Object();
Console.WriteLine(Object.ReferenceEquals(o, p));
p = q;
Console.WriteLine(Object.ReferenceEquals(p, q));
Console.WriteLine(Object.ReferenceEquals(o, p));
}
}
Reference: MSDN article Object.ReferenceEquals Method.
But also here are my thoughts for null values
Generally, returning null values is the best idea if anyone is trying to indicate that there is no data.
If the object is not null, but empty, it implies that data has been returned, whereas returning null clearly indicates that nothing has been returned.
Also IMO, if you will return null, it will result in a null exception if you attempt to access members in the object, which can be useful for highlighting buggy code.
In C#, there are two different kinds of equality:
reference equality and
value equality.
When a type is immutable, overloading operator == to compare value equality instead of reference equality can be useful.
Overriding operator == in non-immutable types is not recommended.
Refer to the MSDN article Guidelines for Overloading Equals() and Operator == (C# Programming Guide) for more details.
As much as I love C#, this is one thing that's kind of likable about C++ when working directly with object instances; some declarations simply cannot be null, so there's no need to check for null.
The best way you can get a slice of this pie in C# (which might be a bit too much redesigning on your part - in which case, take your pick of the other answers) is with struct's. While you could find yourself in a situation where a struct has uninstantiated "default" values (ie, 0, 0.0, null string) there's never a need to check "if (myStruct == null)".
I wouldn't switch over to them without understanding their use, of course. They tend to be used for value types, and not really for large blocks of data - anytime you assign a struct from one variable to another, you tend to be actually copying the data across, essentially creating a copy of each of the original's values (you can avoid this with the ref keyword - again, read up on it rather than just using it). Still, it may fit for things like StreetAddress - I certainly wouldn't lazily use it on anything I didn't want to null-check.
Depending on what the purpose of using the "city" variable is, a cleaner way could be to separate the null checks into different classes. That way you also wouldn't be violating the Law of Demeter. So instead of:
if (person != null && person.contact != null && person.contact.address != null && person.contact.address.city != null)
{
// do some stuff here..
}
You'd have:
class test
{
private test()
{
var person = new Person();
if (person != null)
{
person.doSomething();
}
}
}
...
/* Person class */
doSomething()
{
if (contact != null)
{
contact.doSomething();
}
}
...
/* Contact class */
doSomething()
{
if (address != null)
{
address.doSomething();
}
}
...
/* Address class */
doSomething()
{
if (city != null)
{
// do something with city
}
}
Again, it depends on the purpose of the program.
In what circumstances can those things be null? If nulls would indicate a bug in the code then you could use code contracts. They will pick it up if you get nulls during testing, then will go away in the production version. Something like this:
using System.Diagnostics.Contracts;
[ContractClass(typeof(IContactContract))]
interface IContact
{
IAddress address { get; set; }
}
[ContractClassFor(typeof(IContact))]
internal abstract class IContactContract: IContact
{
IAddress address
{
get
{
Contract.Ensures(Contract.Result<IAddress>() != null);
return default(IAddress); // dummy return
}
}
}
[ContractClass(typeof(IAddressContract))]
interface IAddress
{
string city { get; set; }
}
[ContractClassFor(typeof(IAddress))]
internal abstract class IAddressContract: IAddress
{
string city
{
get
{
Contract.Ensures(Contract.Result<string>() != null);
return default(string); // dummy return
}
}
}
class Person
{
[ContractInvariantMethod]
protected void ObjectInvariant()
{
Contract.Invariant(contact != null);
}
public IContact contact { get; set; }
}
class test
{
private test()
{
var person = new Person();
Contract.Assert(person != null);
if (person.contact.address.city != null)
{
// If you get here, person cannot be null, person.contact cannot be null
// person.contact.address cannot be null and person.contact.address.city cannot be null.
}
}
}
Of course, if the possible nulls are coming from somewhere else then you'll need to have already conditioned the data. And if any of the nulls are valid then you shouldn't make non-null a part of the contract, you need to test for them and handle them appropriately.
One way to remove null checks in methods is to encapsulate their functionality elsewhere. One way to do this is through getters and setters. For instance, instead of doing this:
class Person : IPerson
{
public IContact contact { get; set; }
}
Do this:
class Person : IPerson
{
public IContact contact
{
get
{
// This initializes the property if it is null.
// That way, anytime you access the property "contact" in your code,
// it will check to see if it is null and initialize if needed.
if(_contact == null)
{
_contact = new Contact();
}
return _contact;
}
set
{
_contact = value;
}
}
private IContact _contact;
}
Then, whenever you call "person.contact", the code in the "get" method will run, thus initializing the value if it is null.
You could apply this exact same methodology to all of the properties that could be null across all of your types. The benefits to this approach are that it 1) prevents you from having to do null checks in-line and it 2) makes your code more readable and less prone to copy-paste errors.
It should be noted, however, that if you find yourself in a situation where you need to perform some action if one of the properties is null (i.e. does a Person with a null Contact actually mean something in your domain?), then this approach will be a hindrance rather than a help. However, if the properties in question should never be null, then this approach will give you a very clean way of representing that fact.
--jtlovetteiii
You could use reflection, to avoid forcing implementation of interfaces and extra code in every class. Simply a Helper class with static method(s). This might not be the most efficient way, be gentle with me, I'm a virgin (read, noob)..
public class Helper
{
public static bool IsNull(object o, params string[] prop)
{
if (o == null)
return true;
var v = o;
foreach (string s in prop)
{
PropertyInfo pi = v.GetType().GetProperty(s); //Set flags if not only public props
v = (pi != null)? pi.GetValue(v, null) : null;
if (v == null)
return true;
}
return false;
}
}
//In use
isNull = Helper.IsNull(p, "ContactPerson", "TheCity");
Offcourse if you have a typo in the propnames, the result will be wrong (most likely)..
Is there any way to have a method return any one of a number of generic types from a method? For example, I have the following:
public static T ParseAttributeValue<T>(this XElement element, string attribute)
{
if(typeof(T) == typeof(Int32))
{
return Int32.Parse(element.Attribute(attribute).Value);
}
if(typeof(T) == typeof(Double))
{
return Double.Parse(element.Attribute(attribute).Value);
}
if(typeof(T) == typeof(String))
{
return element.Attribute(attribute).Value;
}
if(typeof(T) == typeof(ItemLookupType))
{
return Enum.Parse(typeof(T), element.Attribute(attribute).Value);
}
}
(This is only a very quick mockup, I'm aware that any production code would need to be significantly more thorough in null checks etc...)
But the compiler doesn't like it, complaining that Int32 cannot be implicitly converted to T (it doesn't work with a cast either). I can understand that. At compile time it has no way to know what T is, but I'm checking it beforehand. Is there anyway I can make this work?
I've done these types of generic methods in the past. The easiest way to get type inference is to provide a generic converter function.
public static T ParseAttributeValue<T>
(this XElement element, string attribute, Func<string, T> converter)
{
string value = element.Attribute(attribute).Value;
if (String.IsNullOrWhiteSpace(value)) {
return default(T);
}
return converter(value);
}
You can use it like the following:
int index = element.ParseAttributeValue("index", Convert.ToInt32);
double price = element.ParseAttributeValue("price", Convert.ToDouble);
You can even provide your own functions and have all the fun in the world (even return anonymous types):
ItemLookupType lookupType = element.ParseAttributeValue("lookupType",
value => Enum.Parse(typeof(ItemLookupType), value));
var item = element.ParseAttributeValue("items",
value => {
List<string> items = new List<string>();
items.AddRange(value.Split(new [] { ',' }));
return items;
});
.Net already has a bunch of great string conversion routines you can use! A TypeConverter can do most of the heavy lifting for you. Then you don't have to worry providing your own parsing implementations for built-in types.
Note that there are locale-aware versions of the APIs on TypeConverter that could be used if you need to handle parsing values expressed in different cultures.
The following code will parse values using the default culture:
using System.ComponentModel;
public static T ParseAttributeValue<T>(this XElement element, string attribute)
{
var converter = TypeDescriptor.GetConverter(typeof(T));
if (converter.CanConvertFrom(typeof(string)))
{
string value = element.Attribute(attribute).Value;
return (T)converter.ConvertFromString(value);
}
return default(T);
}
This will work for a lot of built-in types, and you can decorate custom types with a TypeConverterAttribute to allow them to participate in the type conversion game too. This means that in the future you will be able to parse new types without having to change the implementation of the ParseAttributeValue.
see: http://msdn.microsoft.com/en-us/library/system.componentmodel.typeconverter.aspx
Why are you using the type parameter as the return type at all? This would work, just requires a cast after calling:
public static Object ParseAttributeValue<T>(this XElement element, string attribute)
{
if(typeof(T) == typeof(Int32))
{
return Int32.Parse(element.Attribute(attribute).Value);
}
if(typeof(T) == typeof(Double))
{
return Double.Parse(element.Attribute(attribute).Value);
}
if(typeof(T) == typeof(String))
{
return element.Attribute(attribute).Value;
}
if(typeof(T) == typeof(ItemLookupType))
{
return Enum.Parse(typeof(T), element.Attribute(attribute).Value);
}
}
Or better yet:
public static Int32 ParseAsInt32(this XElement element, string attribute)
{
return Int32.Parse(element.Attribute(attribute).Value);
}
// etc, repeat for each type
This second approach has the additional benefit of having a much higher likelihood of getting inlined, plus it will (for value types like Int32) prevent the need to box/unbox the value. Both of these will cause the method to perform somewhat faster.
Not sure if this is exactly what you want, but you can make the returns work if you cast to object first then to T
public static T ParseAttributeValue<T>(this XElement element, string attribute)
{
if (typeof(T) == typeof(Int32))
{
return (T)(object)Int32.Parse(element.Attribute(attribute).Value);
}
if (typeof(T) == typeof(Double))
{
return (T)(object)Double.Parse(element.Attribute(attribute).Value);
}
if (typeof(T) == typeof(String))
{
return (T)(object)element.Attribute(attribute).Value;
}
return default(T);
}
However you still have to provide T at compile time, calling the method like:
int value = element.ParseAttributeValue<int>("attribute");
Here's two ways of doing it...
static T ReadSetting<T>(string value)
{
object valueObj = null;
if (typeof(T) == typeof(Int32))
valueObj = Int32.Parse(value);
return (T)valueObj;
}
static dynamic ReadSetting2<T>(string value)
{
if (typeof(T) == typeof(Int32))
return Int32.Parse(value);
throw new UnsupportedException("Type is unsupported");
}
static void Main(string[] args)
{
int val1 = ReadSetting<Int32>("2");
int val2 = ReadSetting2<Int32>("3");
}
With C++ templates, this kind of thing would work, but only if each piece of code were in a different, separate specialization. The thing that makes that work is that unused function templates are not compiled (or more accurately: not fully instantiated), so the fact that a piece of code would be invalid if that copy of the template were instantiated with a different type doesn't come up.
C# is different, and AFAIK there's no specialization for generics. One way to accomplish what you are trying to do, while working within the limitations of C# would be to create one function with a more abstract return type, and use the ParseAttributeValue only to cast it to T.
So you would have:
private static Object AbstractParseValue(System.Type t, XElement element, string attribute)
and
public static T ParseAttributeValue<T>(this XElement element, string attribute)
{
return (T)AbstractParseValue(typeof(T), element, attribute);
}
I would suggest that rather than testing the type parameter every time the routine is executed, you should create a generic static class something like this:
internal static class ElementParser<T>
{
public static Func<XElement, string, T> Convert = InitConvert;
T DefaultConvert(XElement element, string attribute)
{
return Default(T); // Or maybe throw exception, or whatever
}
T InitConvert(XElement element, string attribute)
{
if (ElementParser<int>.Convert == ElementParser<int>.InitConvert)
{ // First time here for any type at all
Convert = DefaultConvert; // May overwrite this assignment below
ElementParser<int>.Convert =
(XElement element, string attribute) =>
Int32.Parse(element.Attribute(attribute).Value);
ElementParser<double>.Convert =
(XElement element, string attribute) =>
Int32.Parse(element.Attribute(attribute).Value);
// etc. for other types
}
else // We've done other types, but not this type, and we don't do anything nice for it
{
Convert = DefaultConvert;
}
return Convert(element, attribute);
}
}
public static T ParseAttributeValue(this XElement element, string attribute)
{
ElementParser<T>.Convert(element, attribute);
}
Using this approach, one will only have to do special handling the first time a particular type is used. After that, the conversion can be performed using only a single generic delegate invocation. Once could easily add any number of types, and even allow converters to be registered for any desired type at runtime.
What is the easiest way to take an objects and convert any of its values from null to string.empty ?
I was thinking about a routine that I can pass in any object, but I am not sure how to loop through all the values.
When your object exposes it's values via properties you can write something like:
string Value { get { return m_Value ?? string.Empty; } }
Another solution is to use reflection. This code will check properties of type string:
var myObject = new MyObject();
foreach( var propertyInfo in myObject.GetType().GetProperties() )
{
if(propertyInfo.PropertyType == typeof(string))
{
if( propertyInfo.GetValue( myObject, null ) == null )
{
propertyInfo.SetValue( myObject, string.Empty, null );
}
}
}
Using reflection, you could something similar to :
public static class Extensions
{
public static void Awesome<T>(this T myObject) where T : class
{
PropertyInfo[] properties = typeof(T).GetProperties();
foreach(var info in properties)
{
// if a string and null, set to String.Empty
if(info.PropertyType == typeof(string) &&
info.GetValue(myObject, null) == null)
{
info.SetValue(myObject, String.Empty, null);
}
}
}
}
Presumably, you have a report or a form somewhere showing "null" all over the place, instead of a nice, pleasant "".
It's best to leave the nulls as they are, and modify your display code wherever appropriate. Thus, a line like this:
label1.Text = someObject.ToString();
should become:
if (someObject == null)
{
label1.Text = ""; // or String.Empty, if you're one of *those* people
}
else
{
label1.Text = someObject.ToString();
}
and you can functionalize it as necessary:
public void DisplayObject(Label label, Object someObject)
{
if (someObject == null)
{
label.Text = ""; // or String.Empty, if you're one of *those* people
}
else
{
label.Text = someObject.ToString();
}
}
You could use reflection. Here's an example with one level of nesting:
class Foo
{
public string Prop1 { get; set; }
public string Prop2 { get; set; }
public string Prop3 { get; set; }
}
class Program
{
static void Main(string[] args)
{
var foo = new Foo
{
Prop1 = (string)null,
Prop2 = (string)null,
Prop3 = (string)null,
};
var props = typeof(Foo).GetProperties()
.Where(x => x.PropertyType == typeof(string));
foreach (var p in props)
{
p.SetValue(foo, string.Empty, null);
}
}
}
You can do that via reflection without too much trouble, and I am sure that by the time I post this there will be answers that tell you exactly how to do that.
But I personally don't like the reflection option.
I prefer to maintain object invariants for all of the object's members through a variety of means. For string members, the invariant is often that it not be null, and sometimes there are maximum length requirements as well (for storage in a database, for example). Other members have other sorts of invariants.
The first step is to create a method that checks all the invariants that you define for the object.
[Conditional("DEBUG")]
private void CheckObjectInvariant()
{
Debug.Assert(name != null);
Debug.Assert(name.Length <= nameMaxLength);
...
}
Then you call this after any method that manipulates the object in any way. Since it is decorated with the ConditionalAttribute, none of these calls will appear in the release version of the application.
Then you just have to make sure that none of the code allows any violations of these invariants. This means that the string fields need to have either initializers in their declarations or they need to be set in all the constructors for the object.
A special problem, and the one that probably motivated this question, is what to do about automatic properties.
public string Name { get; set; }
Obviously, this can be set to null at any time, and there's nothing you can do about that.
There are two options with regard to automatic properties. First, you can just not use them at all. This avoids the problem entirely. Second, you can just allow any possible string value. That is, any code that uses that property has to expect nulls, 10 mb strings or anything in between.
Even if you go with the reflection option to remove nulls, you still have to know when to call the magic-null-removal method on the object to avoid NullReferenceExceptions, so you haven't really bought anything that way.
+1 to Tanascius's answer. I used this answer but tweaked it a bit.
First I only grab the properties that are strings, so it doesn't loop through all my properties. Secondly, I placed in it my BaseEntity class that all my entities inherit from, which makes it global, so I don't have to put it on all my Entities.
public class BaseEntity
{
public int Id { get; set; }
public BaseEntity()
{
var stringProperties = this.GetType().GetProperties().Where(x => x.PropertyType == typeof(string));
foreach (var property in stringProperties)
{
if (property.GetValue(this, null) == null)
{
property.SetValue(this, string.Empty, null);
}
}
}
}
Consider the following (heavily simplified) code:
public T Function<T>() {
if (typeof(T) == typeof(string)) {
return (T) (object) "hello";
}
...
}
It's kind of absurd to first cast to object, then to T. But the compiler has no way of knowing that the previous test assured T is of type string.
What is the most elegant, idiomatic way of achieving this behavior in C# (which includes getting rid of the stupid typeof(T) == typeof(string), since T is string can't be used)?
Addendum: There is no return type variance in .net, so you can't make a function overload to type string (which, by the way, is just an example, but one reason why association end redefinition in polymorphism, e.g. UML, can't be done in c#). Obviously, the following would be great, but it doesn't work:
public T Function<T>() {
...
}
public string Function<string>() {
return "hello";
}
Concrete Example 1: Because there's been several attacks to the fact that a generic function that tests for specific types isn't generic, I'll try to provide a more complete example. Consider the Type-Square design pattern. Here follows a snippet:
public class Entity {
Dictionary<PropertyType, object> properties;
public T GetTypedProperty<T>(PropertyType p) {
var val = properties[p];
if (typeof(T) == typeof(string) {
(T) (object) p.ToString(this); // magic going here
}
return (T) TypeDescriptor.GetConverter(typeof(T)).ConvertFrom(val);
}
}
Concrete Example 2: Consider the Interpreter design pattern:
public class Expression {
public virtual object Execute() { }
}
public class StringExpression: Expression {
public override string Execute() { } // Error! Type variance not allowed...
}
Now let's use generics in Execute to allow the caller to force a return type:
public class Expression {
public virtual T Execute<T>() {
if(typeof(T) == typeof(string)) { // what happens when I want a string result from a non-string expression?
return (T) (object) do_some_magic_and_return_a_string();
} else if(typeof(T) == typeof(bool)) { // what about bools? any number != 0 should be True. Non-empty lists should be True. Not null should be True
return (T) (object) do_some_magic_and_return_a_bool();
}
}
}
public class StringExpression: Expressiong {
public override T Execute<T>() where T: string {
return (T) string_result;
}
}
If you're making these types of checks in a generic method, I'd rethink your design. The method is obviously not truly generic - if it were, you wouldn't need specific type checking...
Situations like this typically can be handled more cleanly by a redesign. One alternative is often to provide an overload of the appropriate type. Other design alternatives which avoid the type-specific behavior exist, as well, such as Richard Berg's suggestion of passing in a delegate.
using System;
using System.Collections.Generic;
using System.Linq;
namespace SimpleExamples
{
/// <summary>
/// Compiled but not run. Copypasta at your own risk!
/// </summary>
public class Tester
{
public static void Main(string[] args)
{
// Contrived example #1: pushing type-specific functionality up the call stack
var strResult = Example1.Calculate<string>("hello", s => "Could not calculate " + s);
var intResult = Example1.Calculate<int>(1234, i => -1);
// Contrived example #2: overriding default behavior with an alternative that's optimized for a certain type
var list1 = new List<int> { 1, 2, 3 };
var list2 = new int[] { 4, 5, 6 };
Example2<int>.DoSomething(list1, list2);
var list1H = new HashSet<int> { 1, 2, 3 };
Example2<int>.DoSomething<HashSet<int>>(list1H, list2, (l1, l2) => l1.UnionWith(l2));
}
}
public static class Example1
{
public static TParam Calculate<TParam>(TParam param, Func<TParam, TParam> errorMessage)
{
bool success;
var result = CalculateInternal<TParam>(param, out success);
if (success)
return result;
else
return errorMessage(param);
}
private static TParam CalculateInternal<TParam>(TParam param, out bool success)
{
throw new NotImplementedException();
}
}
public static class Example2<T>
{
public static void DoSomething(ICollection<T> list1, IEnumerable<T> list2)
{
Action<ICollection<T>, IEnumerable<T>> genericUnion = (l1, l2) =>
{
foreach (var item in l2)
{
l1.Add(item);
}
l1 = l1.Distinct().ToList();
};
DoSomething<ICollection<T>>(list1, list2, genericUnion);
}
public static void DoSomething<TList>(TList list1, IEnumerable<T> list2, Action<TList, IEnumerable<T>> specializedUnion)
where TList : ICollection<T>
{
/* stuff happens */
specializedUnion(list1, list2);
/* other stuff happens */
}
}
}
/// I confess I don't completely understand what your code was trying to do, here's my best shot
namespace TypeSquarePattern
{
public enum Property
{
A,
B,
C,
}
public class Entity
{
Dictionary<Property, object> properties;
Dictionary<Property, Type> propertyTypes;
public T GetTypedProperty<T>(Property p)
{
var val = properties[p];
var type = propertyTypes[p];
// invoke the cast operator [including user defined casts] between whatever val was stored as, and the appropriate type as
// determined by the domain model [represented here as a simple Dictionary; actual implementation is probably more complex]
val = Convert.ChangeType(val, type);
// now create a strongly-typed object that matches what the caller wanted
return (T)val;
}
}
}
/// Solving this one is a straightforward application of the deferred-execution patterns I demonstrated earlier
namespace InterpreterPattern
{
public class Expression<TResult>
{
protected TResult _value;
private Func<TResult, bool> _tester;
private TResult _fallback;
protected Expression(Func<TResult, bool> tester, TResult fallback)
{
_tester = tester;
_fallback = fallback;
}
public TResult Execute()
{
if (_tester(_value))
return _value;
else
return _fallback;
}
}
public class StringExpression : Expression<string>
{
public StringExpression()
: base(s => string.IsNullOrEmpty(s), "something else")
{ }
}
public class Tuple3Expression<T> : Expression<IList<T>>
{
public Tuple3Expression()
: base(t => t != null && t.Count == 3, new List<T> { default(T), default(T), default(T) })
{ }
}
}
Can you use as here?
T s = "hello" as T;
if(s != null)
return s;
I can't think of an "elegant" way to do this. As you say, the compiler can't know that the conditional has ensured that the type of T is string. As a result, it has to assume that, since there's no generalized way to convert from string to T, it's an error. object to T might succeed, so the compiler allows it.
I'm not sure I'd want an elegant way to express this. Although I can see where it'd be necessary to do explicit type checks like this in some situations, I think I'd want it to be cumbersome because it really is a bit of a hack. And I'd want it to stick out: "Hey! I'm doing something weird here!"
Ok, I took a run at it from several different angles and came up short. I would have to conclude that if your current implementation gets the job done you should take the win and move on. Short of some arcane emissions what you got is what you get.
But the compiler has no way of knowing
that the previous test assured T is of
type string.
Umm.... If I am not mistaken, generics is just code gen. The compiler generates a matching method for each distinct type found in the calling methods. So the compiler does know the type argument for the overload being called. Again; If I am not mistaken.
But overall, i think you are misusing the generic in this case, from what I can see, and as others have stated, there are more appropriate solutions..... which are unnamable unless you post code that completely specifies your requirements.
just my 2 pesos...