Calling WCF services from .NET Core clients

Imagine situation: company runs a business-critical application that was built when WCF was a hot topic. Over the years the code base has grown and became a hot mess. But now, finally, the development team got a go ahead to break it down into microservices. Yay? Calling WCF services from .NET Core clients can be a challenge.

Not so fast

We already discussed some high-level architectural approaches to integrate systems. But we didn’t touch upon the data exchange between monolith and microservice consumers: we could post complete object feed onto a message queue, but that’s not always fit for purpose as messages should be lightweight. Another way (keeping in mind our initial WCF premise), we could call the services as needed and make alterations inside microservices. And Core WCF is a fantastic way to do that. If only we used all stock standard service code.

What if custom is the way?

But sometimes our WCF implementation has evolved so much that it’s impossible to retrofit off the shelf tools. For example, one client we worked with, was stuck with binary formatting for performance reasons. And that meant that we needed to use same legacy .net 4.x assemblies to ensure full compatibility. Issue was – not all of references was supported by .net core anyway. So we had to get creative.

What if there was an API?

Surely, we could write an API that would adapt REST requests to WCF calls. We could probably just use Azure API Management and call it a day, but our assumption here was not all customers are going to do that. The question is how to minimize the amount of effort developers need to expose the endpoints.

A perfect case for C# Source Generators

C# Source Generators is a new C# compiler feature that lets C# developers inspect user code and generate new C# source files that can be added to a compilation. This is our chance to write code that will write more code when a project is built (think C# Code Inception).

The setup is going to be very simple: we’ll add a generator to our WCF project and get it to write our WebAPI controllers for us. Official blog post describes all steps necessary to enable this feature, so we’d skip this trivial bit.

We’ll look for WCF endpoints that developers have decorated with a custom attribute (we’re opt-in) and do the following:

  • Find all Operations marked with GenerateApiEndpoint attribute
  • Generate Proxy class for each ServiceContract we discovered
  • Generate API Controller for each ServiceContract that exposes at least one operation
  • Generate Data Transfer Objects for all exposed methods
  • Use generated DTOs to create WCF client and call required method, return data back

Proxy classes

For .net core to call legacy WCF, we have to either use svcutil to scaffold everything for us or we have to have a proxy class that inherits from ClientBase

namespace WcfService.BridgeControllers {
public class {proxyToGenerate.Name}Proxy: ClientBase<{proxyToGenerate}>, {proxyToGenerate} {
    foreach (var method in proxyToGenerate.GetMembers()) 
    {
        var parameters = // craft calling parameters; // need to make sure we build correct parameters here
        public {method.ReturnType} {method.Name}({parameters}) {
            return Channel.{method.Name}({parameters}); // calling respective WCF method
    }
}

DTO classes

We thought it’s easier to standardize calling convention so all methods in our API are always POST and all accept only one DTO on input (which in turn very much depends on callee sugnature):

public static string GenerateDtoCode(this MethodDeclarationSyntax method) 
{
    var methodName = method.Identifier.ValueText;
    var methodDtoCode = new StringBuilder($"public class {methodName}Dto {{").AppendLine(""); 
    foreach (var parameter in method.ParameterList.Parameters)
    {
        var isOut = parameter.IsOut();
        if (!isOut)
        {
            methodDtoCode.AppendLine($"public {parameter.Type} {parameter.Identifier} {{ get; set; }}");
        }
    }
    methodDtoCode.AppendLine("}");
    return methodDtoCode.ToString();
}

Controllers

And finally, controllers follow simple conventions to ensure we always know how to call them:

sourceCode.AppendLine()
   .AppendLine("namespace WcfService.BridgeControllers {").AppendLine()
   .AppendLine($"[RoutePrefix(\"api/{className}\")]public class {className}Controller: ApiController {{");
...
 var methodCode = new StringBuilder($"[HttpPost][Route(\"{methodName}\")]")
                  .AppendLine($"public Dictionary<string, object> {methodName}([FromBody] {methodName}Dto request) {{")
                  .AppendLine($"var proxy = new {clientProxy.Name}Proxy();")
                  .AppendLine($"var response = proxy.{methodName}({wcfCallParameterList});")
                  .AppendLine("return new Dictionary<string, object> {")
                  .AppendLine(" {\"response\", response },")
                  .AppendLine(outParameterResultList);

As a result

We should be able to wrap required calls into REST API and fully decouple our legacy data contracts from new data models. Working sample project is on GitHub.

Serverless face-off: Azure vs AWS overview

With the explosive growth of online services, we’ve seen over 2020, it’s clear the Public Cloud is going to pervade our lives increasingly. The Internet is full of articles listing differences between platforms. But when we look closer, it all seems to fall into same groups: compute, storage, and networking. Yes, naming is different, but fundamentals are pretty much identical between all major providers.

Last time

We explored a few differences between AWS S3 and Azure Storage. On paper both Azure and AWS offers are comparable: Azure has Functions and AWS calls theirs Lambda. But subtle differences begin to show up right from the beginning…

Creating resources Azure vs AWS

Without even getting into writing any code yet we are greeted by the first difference: AWS allows to either create standalone functions or to provision Lambda Apps that are basically CloudFormation templates for a function and all related resources such as CodeCommit repo, S3 Bucket and project pipeline for CICD. Azure on the other hand always prompts to structure functions by sitting them inside a Function App. The reason for doing that is, however, slightly different: Function App is a collection of functions that share the same App Service Plan.

Serverless Invocation

AWS does not assume any triggers and we’d need to add one ourselves. Adding an API Gateway as a trigger is totally possible and allows for HTTPS setup if need be. But because trigger is external to the function – we need to pay closer attention to data contract: API reference is helpful but the default API gateway response of 500 makes it hard to troubleshoot.

Portal editor functionality

Another obvious difference between the platforms is built-in code editor experience. In AWS it is only an option for interpreted language runtimes (such as Node.js, Python and Ruby):

finding code editor in AWS portal is very easy
if runtime is not supported, you would get a blue message

Azure has its own set of supported runtimes. And of course, things like .NET and PowerShell get full support. There’s however one gotcha to keep in mind: Linux hosting plans get limited feature set:

rich experience editing code in Azure
even though .net is a first party runtime - using Linux to host it ruins the experience

.NET version support

AWS supports .NET Core 2.1 and 3.1 and conveniently provides selection controls, while Azure by default only allows for version 3.1 for newly created function apps:

AWS is an open book: picking runtime version is easy
Azure makes it a no-choice and might look very limiting, but read on...

At first look such omission is very surprising as one would expect more support from Microsoft. This however is explained in the documentation: .NET version is tied to Functions Runtime version and there is a way to downgrade all the way down to v1.x (which runs on .NET 4.7!):

it is possible to downgrade Function Runtime version. but there are limitations and gotchas

Overall

AspectAWSAzure
Language support.NET Core 2.1, .NET Core 3.1, Go, Java, Node.Js, Python, Ruby, PowerShell Core.NET Core 3.1, .NET Core 2.2, .NET 4.7, Node.Js, Python, Java, PowerShell Core
OSLinuxWindows or Linux (depending on runtime and plan type)
TriggersAPI Gateway, ELB, heaps moreBuilt-in HTTP/Timer, heaps more
HierarchyFunction or Function appFunction App
Portal code editor support Node.JS, Ruby, PythonNode.js, .NET, PowerShell Core,

Breaking down the Monolith: data flows

One common pattern we see repeatedly is how clients are transitioning their monolithic applications to distributed architectures. The challenge here is doing that while still retaining the data on the main database for consistency and other coupled systems. Implementing microservices gets a bit tricky. We suddenly need to have a copy of the data and keep it consistent.

Initial snapshot

Often teams take this exercise to rethink the way they handle schema. So cloning tables to the new database and calling it a day does not cut it. We’d like to be able to use new microservice not only as a fancy DB proxy, but also as a model for future state. Since we don’t always know what the future state will look like, ingesting all data in one go might be too much of commitment. The is where incrementally building microservice-specific data store comes in handy. As requests flow through our system, we’d fulfill them from the Monolith but keep a copy and massage for efficiency.

Caching data with Microservice flow chart

Updates go here

There’s no question we need some way to let our microservices know that something has gotten updated. A message queue of sorts will likely do. So next time the Monolith updates an entity we’re interested in – we’d get a message:

Flow chart outlining Monolith leading update feeds for microservices to build up own data snapshots

As we progress

The schematic above can be extended to allow monolith be part of receiving the update feeds too. When we are ready to commit to moving System of Record to a microservice – we reverse the flow and have Monolith listen to changes and update “master” record accordingly. Only at that time it won’t be “master” anymore.

Flow chart outlining Monolith becoming a subscriber to update feeds for consistency and backward compatibility

Choice of Message Bus

We’d need to employ a proper message bus for this flow to work. There are quite a few options out there and picking a particular one without considering trade-offs is meaningless. We prefer to keep our options limited to RabbitMQ and Kafka. A few reasons to pick one or another are: community size, delivery guarantees and scalability constraints. Stay tuned for an overview of those!

Approaches to handling simple expressions in C#

Every now and then we get asked if there’s an easy way to parse user input into filter conditions. Say, for example, we have a viewmodel of type DataThing:

public class DataThing
 {
     public string Name;
     public float Value;
     public int Count;
 }

From here we’d like to check if a given property of this class satisfies a certain condition. For example we’ll look at “Value is greater than 15”. But of course we’d like to be flexible.

The issue

The main issue here is we don’t know the type of property before hand, so we can’t use generics even if we try to be smart:

public class DataThing
 {
     public string Name;
     public float Value;
     public int Count;
 }
 public static void Main()
 {
     var data = new DataThing() {Value=10, Name="test", Count = 1};
     var values = new List {
         new ValueGetter(x => x.Value),
         new ValueGetter(x => x.Name)
     };
     (values[0].Run(data) > 15).Dump();
 }
 public abstract class ValueGetter
 {
     public abstract T Run<T>(DataThing d);
 }
 public class ValueGetter<T> : ValueGetter
 {
     public Func<DataThing, T> TestFunc;
     public ValueGetter(Func<DataThing, T> blah)
     {
         TestFunc = blah;
     }
     public override T Run(DataThing d) => TestFunc.Invoke(d); // CS0029 Cannot implicitly convert type…
 }

Even if we figured it out it’s obviously way too dependant on DataThing layout to be used everywhere.

LINQ Expression trees

One way to solve this issue is with the help of LINQ expression trees. This way we wrap everything into one delegate with predictable signature and figure out types at runtime:

 bool BuildComparer(DataThing data, string field, string op, T value) {    
     var p1 = Expression.Parameter(typeof(DataThing));
     var p2 = Expression.Parameter(typeof(T));
     if (op == ">")
     {
         var expr = Expression.Lambda>(
             Expression.MakeBinary(ExpressionType.GreaterThan
                                 , Expression.PropertyOrField(p1, field)
                                 , Expression.Convert(p2, typeof(T))), p1, p2);
         var f = expr.Compile();
         return f(data, value);
      } 
      return false;
 }

Code DOM CSharpScript

Another way to approach the same problem is to generate C# code that we can compile and run .We’d need Microsoft.CodeAnalysis.CSharp.Scripting package for this to work:

bool BuildScript(DataThing data, string field, string op, T value)
 {
     var code = $"return {field} {op} {value};";
     var script = CSharpScript.Create(code, globalsType: typeof(DataThing), options: ScriptOptions.Default);
     var scriptRunner = script.CreateDelegate();
     return scriptRunner(data).Result;
 }

.NET 5 Code Generator

This is a new .NET 5 feature, that allows us to plug into compilation process and generate classes as we see fit. For example we’d generate extension methods that would all return correct values from DataThing:

[Generator] // see https://github.com/dotnet/roslyn/blob/main/docs/features/source-generators.cookbook.md for even more cool stuff
 class AccessorGenerator: ISourceGenerator {
     public void Execute(GeneratorExecutionContext context) {
       var syntaxReceiver = (CustomSyntaxReceiver) context.SyntaxReceiver;
       ClassDeclarationSyntax userClass = syntaxReceiver.ClassToAugment;
       SourceText sourceText = SourceText.From($ @ "
         public static class DataThingExtensions {
           { 
           // This is where we'd reflect over type members and generate code dynamically. Following code is oversimplification
             public static string GetValue<string>(this DataThing d) => d.Name;
             public static string GetValue<float>(this DataThing d) => d.Value;
             public static string GetValue<int>(this DataThing d) => d.Count;
           }
         }
         ", Encoding.UTF8);
         context.AddSource("DataThingExtensions.cs", sourceText);
       }
       public void Initialize(GeneratorInitializationContext context) {
         context.RegisterForSyntaxNotifications(() => new CustomSyntaxReceiver());
       }
       class CustomSyntaxReceiver: ISyntaxReceiver {
         public ClassDeclarationSyntax ClassToAugment {
           get;
           private set;
         }
         public void OnVisitSyntaxNode(SyntaxNode syntaxNode) {
           // Business logic to decide what we're interested in goes here
           if (syntaxNode is ClassDeclarationSyntax cds &&
             cds.Identifier.ValueText == "DataThing") {
             ClassToAugment = cds;
           }
         }
       }
     }

Running this should be as easy as calling extension methods on the class instance: data.GreaterThan(15f).Dump();

Cloud face-off: hosting static website

With the explosive growth of online services we’ve seen over 2020, it’s pretty clear the Public Cloud is going to pervade our lives more and more. The Internet is full of articles listing differences between platforms. But when we look closer, it all seems to pretty much fall into same groups: compute, storage and networking. Yes, naming is is different, but fundamentals are pretty much identical between all major providers.

Or are they?

Today we’re going to try and compare two providers by attempting to achieve the same basic goal – hosting a static web page.

the web page is going to be extremely simple:

<html>
     <body ng-app="myApp" ng-controller="myCtrl">
     <h2>Serverless API endpoint</h2>
     <input type="text" ng-model="apiUrl" /><button ng-click="fetch(apiUrl)" >Fetch</button>
         <h2>Function output below</h2>
         <pre>
             {{ eventBody| json }}
         </pre>
         <script type="text/javascript" src="https://cdnjs.cloudflare.com/ajax/libs/angular.js/1.8.2/angular.min.js" />
     </body>
 </html>

S3

With AWS, static website hosting is a feature of S3. All we need to do is create a bucket, upload our files and enable “Static website hosting” in Properties:

AWS S3 bucket creation page for static website hosting
these warnings seems to hint at something…

One may think that this is all we have to do. But that huge information message on the page seems to be hinting at the fact that we might need to enable public access to the bucket. Let us test our theory:

S3 static website hosting configuration toggle
indeed, there’d be no public access to our static assets by default

okay, this is fair enough – making a bucket secure by default is a good idea. One point to note here, is that enabling public access on this only bucket will not be enough. We will also need to disable “Block Public Access” on account level, which seems a bit too extreme at first. But hey, you cannot be too secure, right. AWS goes to great lengths to make it very obvious when customers do something potentially dangerous. Anyway, we’d go and enable the public access on account and bucket as instructed:

Azure Storage Account static website settings

The first thing that jumps out here is a “Not Secure” warning. Indeed, S3 exposes the website via good old HTTP. And if we wanted secure transport – we’d have to opt for CloudFront.

Storage account

With Azure, the very first thing that we’d get to deal with would be the naming convention: Storage Account names can only contain lowercase letters and numbers. So right out of the gate, we’ll have to strip all dashes from our name of choice. Going through the wizard it’s relatively easy to miss the “Networking” section, but it’s exactly here we get to chose if our account will have public access or not. And by default it will be! So if you want it – you’ll have to tweak the security. Anyway, moving on to “Advanced” tab, we’re presented with another key difference: Storage Account endpoints use HTTPS by default.

Having created the account we should first enable the “Static Website hosting” option.

S3 bucket policy configuration for public access

Reason for this order is that Azure creates a special container called $web, that we’ll then upload files to. But after we have done that – it’s pretty much done:

Azure Storage blob container with uploaded static files

CORS

Both AWS and Azure allow configuring CORS for static websites. AWS is pretty upfront about it in their docs. Azure however makes a specific callout that CORS is not supported on static websites. My testing, however, indicates that it seems to work as intended. Consider the following scenario. We’d use the same website, but add a web font. And load it from across the other cloud: so Azure copy of the site will attempt to source the font from AWS and vice versa:

<link rel="stylesheet" href="css/stylesheet-aws.css" type="text/css" charset="utf-8" />
<style type="text/css">
body {
font-family: "potta_oneregular"
}
</style>

and the stylesheet would look like so (note the URL pointing to Azure):

@font-face {
     font-family: 'potta_oneregular';
     src: url('https://cloudfaceoffworkload.z26.web.core.windows.net/css/pottaone-regular-webfont.woff2') format('woff2'),
          url('https://cloudfaceoffworkload.z26.web.core.windows.net/css/pottaone-regular-webfont.woff') format('woff');
     font-weight: normal;
     font-style: normal;
 }

initially, this set up indeed results in a CORS error:

Azure Storage blob container with uploaded static files

but the fix is very easy, just set up CORS in Azure:

Azure Storage blob container with uploaded static files

and we get a fully working cross-origin resource consumption:

Azure Storage blob container with uploaded static files

Doing it the other way around is a bit more complicated. Even though AWS allows us to configure policies, lack of HTTPS endpoint means browsers will likely refuse to load the fonts and we’d be forced onto CloudFront (which has its own benefits, but that would be a completely different story).

Summary

Aspect AWS S3 Azure Storage Account
Public by default no yes
HTTPS with own domain name no yes
Allows for human-readable names yes not really
CORS support configurable not supported by static websites (despite what the docs claim)

LINQ: Dynamic Join

Suppose we’ve got two lists that we would like to join based on, say, common Id property. With LINQ the code would look something along these lines:

var list1 = new List<MyItem> {};
var list2 = new List<MyItem> {};
var joined = list1.Join(list2, i => i.Id, j => j.Id, (k,l) => new {List1Item=k, List2Item=l});

resulting list of anonymous objects would have a property for each source object in the join. This is nothing new and has been documented pretty well.

But what if

We don’t know how many lists we’d have to join? Now we’ve got a list of lists of our entities (List Inception?!): List<List<MyItem>>. It becomes pretty obvious that we’d need to generate this code dynamically. We’ll run with LINQ Expression Trees – surely there’s a way. Generally speaking, we’ll have to build an object (anonymous type would be ideal) with fields like so:

{
  i0: items[0] // added on first run - we need to have at least two lists to join so it's safe to assume we'd
  i1: items[1] // added on first run - you need to have at least two lists in your join array 
  ... 
  iN: items[N] // added on each pass an joined with items[0] 
}

It is safe to assume that we need at least two lists for join to make sense, so we’d build the object above in two stages – first join two MyItem instances and get the structure going, Each subsequent join should append more MyItem instances to the resulting object until we’d get our result.

Picking types for the result

Now the problem is how we best define this object. The way anonymous types are declared, requires a type initialiser and a new keyword. We don’t have either of these at design time, so this method unfortunately will not work for us.

ExpandoObject

Another way to achieve decent developer experience with named object properties would be to use dynamic keyword – this is less than ideal as it effectively disables compiler static type checks. But we can keep going – so it’s an option here. To allow us to add properties at run time, we will use ExpandoObject:

static List<ExpandoObject> Join<TSource, TDest>(List<List<TSource>> items, Expression<Func<TSource, int>> srcAccessor, Expression<Func<ExpandoObject, int>> intermediaryAccessor, Expression<Func<TSource, TSource, ExpandoObject>> outerResultSelector)
{
	var joinLambdaType = typeof(ExpandoObject);            
	Expression<Func<ExpandoObject, TSource, ExpandoObject>> innerResultSelector = (expando, item) => expando.AddValue(item);
	
	var joinMethod = typeof(Enumerable).GetMethods().Where(m => m.Name == "Join").First().MakeGenericMethod(typeof(TSource), typeof(TSource), typeof(int), joinLambdaType);
	var toListMethod = typeof(Enumerable).GetMethods().Where(m => m.Name == "ToList").First().MakeGenericMethod(typeof(TDest));

	var joinCall = Expression.Call(joinMethod,
							Expression.Constant(items[0]),
							Expression.Constant(items[1]),
							srcAccessor,
							srcAccessor,
							outerResultSelector);
	joinMethod = typeof(Enumerable).GetMethods().Where(m => m.Name == "Join").First().MakeGenericMethod(typeof(TDest), typeof(TSource), typeof(int), joinLambdaType); // from now on we'll be joining ExpandoObject with MyEntity
	for (int i = 2; i < items.Count; i++) // skip the first two
	{
		joinCall =
			Expression.Call(joinMethod,
							joinCall,
							Expression.Constant(items[i]),
							intermediaryAccessor,
							srcAccessor,
							innerResultSelector);
	}

	var lambda = Expression.Lambda<Func<List<ExpandoObject>>>(Expression.Call(toListMethod, joinCall));
	return lambda.Compile()();
}

The above block references two extension methods so that we can easier manupulate the ExpandoObjects:

public static class Extensions 
 {
     public static ExpandoObject AddValue(this ExpandoObject expando, object value)
     {
         var dict = (IDictionary)expando;
         var key = $"i{dict.Count}"; // that was the easiest way to keep track of what's already in. You would probably find a way to do it better
         dict.Add(key, value);
         return expando;
     }
     public static ExpandoObject NewObject<T>(this ExpandoObject expando, T value1, T value2) 
     {
          var dict = (IDictionary<string, object>)expando;
          dict.Add("i0", value1);
          dict.Add("i1", value2);
          return expando; 
     }
 }

And with that, we should have no issue running a simple test like so:

class Program
{
    class MyEntity
    {
        public int Id { get; set; }
        public string Name { get; set; }

        public MyEntity(int id, string name)
        {
            Id = id; Name = name;
        }
    }

    static void Main()
    {
        List<List<MyEntity>> items = new List<List<MyEntity>> {
            new List<MyEntity> {new MyEntity(1,"test1_1"), new MyEntity(2,"test1_2")},
            new List<MyEntity> {new MyEntity(1,"test2_1"), new MyEntity(2,"test2_2")},
            new List<MyEntity> {new MyEntity(1,"test3_1"), new MyEntity(2,"test3_2")},
            new List<MyEntity> {new MyEntity(1,"test4_1"), new MyEntity(2,"test4_2")}
        };

        Expression<Func<MyEntity, MyEntity, ExpandoObject>> outerResultSelector = (i, j) => new ExpandoObject().NewObject(i, j); // we create a new ExpandoObject and populate it with first two items we join
        Expression<Func<ExpandoObject, int>> intermediaryAccessor = (expando) => ((MyEntity)((IDictionary<string, object>)expando)["i0"]).Id; // you could probably get rid of hardcoding this by, say, examining the first key in the dictionary
        
        dynamic cc = Join<MyEntity, ExpandoObject>(items, i => i.Id, intermediaryAccessor, outerResultSelector);

        var test1_1 = cc[0].i1;
        var test1_2 = cc[0].i2;

        var test2_1 = cc[1].i1;
        var test2_2 = cc[1].i2;
    }
}

ASP.Net Core – Resolving types from dynamic assemblies

It is not a secret that ASP.NET core comes with dependency injection support out of the box. And we don’t remember ever feeling it lacks features. All we have to do is register a type in Startup.cs and it’s ready to be consumed in our controllers:

public class Startup
{
    public void ConfigureServices(IServiceCollection services)
    {
        ...
        services.AddScoped<IDBLogger, IdbLogger>();
    }
}
//
public class HomeController : Controller
{
    private readonly IDBLogger _idbLogger;
    public HomeController(IDBLogger idbLogger)     
    {
        _idbLogger = idbLogger; // all good here!
    }
...
}

What if it’s a plugin?

Now imagine we’ve got a Order type that we for whatever strange reason load at runtime dynamically.

public class Order
{
     private readonly IDBLogger _logger; // suppose we've got the reference from common assembly that both our main application and this plugin are allowed to reference
     public Order(IDBLogger logger)
     {
         _logger = logger; // will it resolve?
     }
     public void GetOrderDetail()
     {
        _logger.Log("Inside GetOrderDetail"); // do we get a NRE here?
     }
}

Load it in the controller

External assembly being external kind of implies that we want to load it at the very last moment – right in our controller where we presumably need it. If we try explore this avenue, we immediately see the issue:

public HomeController(IDBLogger idbLogger)
 {
     _idbLogger = idbLogger;
     var assembly = Assembly.LoadFrom(Path.Combine("..\Controllers\bin\Debug\netcoreapp3.1", "Orders.dll"));
     var orderType = assembly.ExportedTypes.First(t => t.Name == "Order");
     var order = Activator.CreateInstance(orderType); //throws System.MissingMethodException: 'No parameterless constructor defined for type 'Orders.Order'.'
     orderType.InvokeMember("GetOrderDetail", BindingFlags.Public | BindingFlags.Instance|BindingFlags.InvokeMethod, null, order, new object[] { });
 }

The exception makes perfect sense – we need to inject dependencies! Making it so:

public HomeController(IDBLogger idbLogger)
 {
     _idbLogger = idbLogger;
     var assembly = Assembly.LoadFrom(Path.Combine("..\Controllers\bin\Debug\netcoreapp3.1", "Orders.dll"));
     var orderType = assembly.ExportedTypes.First(t => t.Name == "Order");
     var order = Activator.CreateInstance(orderType, new object[] { _idbLogger }); // we happen to know what the constructor is expecting
     orderType.InvokeMember("GetOrderDetail", BindingFlags.Public | BindingFlags.Instance|BindingFlags.InvokeMethod, null, order, new object[] { });
 }

Victory! or is it?

The above exercise is nothing new of exceptional – the point we are making here is – dependency injection frameworks were invented so we don’t have to do this manually. In this case it was pretty easy but more compex constructors can many dependencies. What’s worse – we may not be able to guarantee we even know all dependencies we need. If only there was a way to register dynamic types with system DI container…

Yes we can

The most naive solution would be to load our assembly on Startup.cs and register needed types along with our own:

public void ConfigureServices(IServiceCollection services)
 {
     services.AddControllersWithViews();
     services.AddScoped();
     // load assembly and register with DI  
     var assembly = Assembly.LoadFrom(Path.Combine("..\\Controllers\\bin\\Debug\\netcoreapp3.1", "Orders.dll")); 
    var orderType = assembly.ExportedTypes.First(t => t.Name == "Order");
    services.AddScoped(orderType); // this is where we would make our type known to the DI container  
    var loadedTypesCache = new LoadedTypesCache(); // this step is optional - i chose to leverage the same DI mechanism to avoid having to load assembly in my controller for type definition.  
    loadedTypesCache.LoadedTypes.Add("order", orderType);
    services.AddSingleton(loadedTypesCache); // singleton seems like a good fit here            
 }

And that’s it – literally no difference where the type is coming from! In controller, we’d inject IServiceProvider and ask to hand us an instance of type we cached earlier:

public HomeController(IServiceProvider serviceProvider, LoadedTypesCache cache)
{
     var order = serviceProvider.GetService(cache.LoadedTypes["order"]); // leveraging that same loaded type cache to avoid having to load assembly again
 // following two lines are just to call the method 
    var m = cache.LoadedTypes["order"].GetMethod("GetOrderDetail", BindingFlags.Public | BindingFlags.Instance); 
    m.Invoke(order, new object[] { }); // Victory!
}

Attaching debugger to dynamically loaded assembly with Reflection.Emit

Imagine a situation where you’d like to attach a debugger to an assembly that you have loaded dynamically? To make it a bit more plausible let us consider a scenario. Our client has a solution where they maintain extensive plugin ecosystem. Each plugin is a class library built with .net 4.5. Each plugin implements a common interface that main application is aware of. At runtime the application scans a folder and loads all assemblies into separate AppDomains. Under certain circumstances users/developers would like to be able to debug plugins in Visual Studio.
Given how seldom we would opt for this technique, documenting our solution might be an exercise in vain. But myself being a huge fan of weird and wonderful – I couldn’t resist going through with this case study.

Inventorying moving parts

First of all we’d need a way to inject code into the assembly. Apparently we can not directly replace methods we loaded from disk – SwapMethodBody() needs a DynamicModule. So we opted to define a subclass wrapper. Next, we need to actually stop execution and offer developers to start debugging. Using Debugger.Launch() is the easiest way to achieve that. Finally, we’d look at different ways to load assemblies into separate AppDomains to maintain existing convention.

Injecting Debugger.Launch()

The main attraction here – and Reflection.Emit is a perfect candidate for the job. Theory is fairly simple: we create a new dynamic assembly, module, type and a method. Then we generate code inside of the method and return wrapper instance:

public static object CreateWrapper(Type ServiceType, MethodInfo baseMethod)
{
    var asmBuilder = AppDomain.CurrentDomain.DefineDynamicAssembly(new AssemblyName($"newAssembly_{Guid.NewGuid()}"), AssemblyBuilderAccess.Run);
    var module = asmBuilder.DefineDynamicModule($"DynamicAssembly_{Guid.NewGuid()}");
    var typeBuilder = module.DefineType($"DynamicType_{Guid.NewGuid()}", TypeAttributes.Public, ServiceType);
    var methodBuilder = typeBuilder.DefineMethod("Run", MethodAttributes.Public | MethodAttributes.NewSlot);

    var ilGenerator = methodBuilder.GetILGenerator();

    ilGenerator.EmitCall(OpCodes.Call, typeof(Debugger).GetMethod("Launch", BindingFlags.Static | BindingFlags.Public), null);
    ilGenerator.Emit(OpCodes.Pop);

    ilGenerator.Emit(OpCodes.Ldarg_0);
    ilGenerator.EmitCall(OpCodes.Call, baseMethod, null);
    ilGenerator.Emit(OpCodes.Ret);

    /*
     * the generated method would be roughly equivalent to:
     * new void Run()
     * {
     *   Debugger.Launch();
     *   base.Run();
     * }
     */

    var wrapperType = typeBuilder.CreateType();
    return Activator.CreateInstance(wrapperType);
}

Triggering the method

After we’ve generated a wrapper – we should be in position to invoke the desired method. In this example I’m using all-reflection approach:

public void Run()
{
    var wrappedInstance = DebuggerWrapperGenerator.CreateWrapper(ServiceType, ServiceType.GetMethod("Run"));
    wrappedInstance.GetType().GetMethod("Run")?.Invoke(wrappedInstance, null);
 // nothing special here
}

The task becomes even easier if we know the interface to cast to.

Adding AppDomain into the mix

The above parts don’t depend much on where the code will run. However, trying to satisfy the layout requirement, we experimented with a few different configurations. In the end it appears that I’m able to confidently place the code in correct AppDomain by either leveraging .DoCallBack() or making sure that Launcher helper is created with .CreateInstanceAndUnwrap():

static void Main(string[] args)
{
    var appDomain = AppDomain.CreateDomain("AppDomainInMain", AppDomain.CurrentDomain.Evidence,
        new AppDomainSetup { ApplicationBase = AppDomain.CurrentDomain.SetupInformation.ApplicationBase });

    appDomain.DoCallBack(() =>
    {
        var launcher = new Launcher(PathToDll);
        launcher.Run();
    });    
}
static void Main(string[] args)
{
    Launcher.RunInNewAppDomain(PathToDll);
}
public class Launcher : MarshalByRefObject
{
    private Type ServiceType { get; }

    public Launcher(string pathToDll)
    {
        var assembly = Assembly.LoadFrom(pathToDll);
        ServiceType = assembly.GetTypes().SingleOrDefault(t => t.Name == "Class1");
    }

    public void Run()
    {
        var wrappedInstance = DebuggerWrapperGenerator.CreateWrapper(ServiceType, ServiceType.GetMethod("Run"));
        wrappedInstance.GetType().GetMethod("Run")?.Invoke(wrappedInstance, null);
    }

    public static void RunInNewAppDomain(string pathToDll)
    {
        var appDomain = AppDomain.CreateDomain("AppDomainInLauncher", AppDomain.CurrentDomain.Evidence, AppDomain.CurrentDomain.SetupInformation);

        var launcher = appDomain.CreateInstanceAndUnwrap(typeof(Launcher).Assembly.FullName, typeof(Launcher).FullName, false, BindingFlags.Public|BindingFlags.Instance,
            null, new object[] { pathToDll }, CultureInfo.CurrentCulture, null);
        (launcher as Launcher)?.Run();
    }
}

Testing it

In the end we’ve got the following prompt:

Visual Studio debugger attached to dynamically loaded assembly with breakpoint hit

after letting it run through, we’d get something looking like this:

Debug symbols loading for Reflection.Emit generated assembly

As usual, full code for this example sits in my GitHub if you want to take it for a spin.

ARR: Setting up

Not so long ago a client asked us to spec up their CI/CD pipeline. They are going through devops transformation and as part of their “speed up delivery” objective they wanted to minimize downtime when they deploy new versions of their software or run maintenance.

🟦🟩-deployments

First thing we wanted to try was to introduce blue-green approach. The application runs on IIS and luckily for us, Microsoft offers a solution there: ARR. There’s heaps documentation online, and most examples seem to point at scaling out by routing traffic to application round robin. In our case the application was not ready for that just yet so we decided to use it for directing all traffic to one backend server only while we deploy the inactive one:

typical blue-green diagram

Farming Web Farms

ARR introduces a concept of Web Farms. This basically is a logical grouping of content servers that ARR treats as one site. Each farm comes with settings on how caching should work, or what actual content servers are like. It’s pretty easy to set up when we’ve got one or two of there. But in our case we were looking at approximately 100 farms. Yikes! Overall the process is pretty simple: create farm, add content servers, create URL rewrite rule. Nothing fancy and documentation is plentiful. What we wanted to do however was to automate everything into one script that could later run remotely when triggered by CI/CD pipelines.

PowerShell to the rescue

Our requirements were pretty standard until we realized that there’s no easy way to insert URL rewrite rules into arbitrary positions in the list. So we implemented a set of dummy rules that the script uses as anchors to locate a place where to inject new rule. We also needed node health check to cut off inactive servers, the easiest was a plain text file in website root with words “UP” or “DOWN” so that we can swap ARR slots by simply updating a file. ARR supports a few ways to programmatically manage, but since we’re on Windows we picked PowerShell as our tool of choice and ended up with something like this:

function CheckIfExists($xpath, $name, $remove = $true) {      
   $existing = Get-WebConfigurationProperty -pspath $psPath "$xpath[@name='$name']" -Name .
   if($null -ne $existing) {      
      if($remove) {
         Clear-WebConfiguration -pspath $psPath -Filter "$xpath[@name='$name']"
      }
      return  $true
   }
function IndexOfNode($collection, $name) {
   $i=0
   for ($i=0; $i -lt $existing.Collection.Count; $i++)
   {
      if ($collection[$i].name -eq $name) 
      { 
         return $i
      }
   }
   return $i-1 #found nothing - return position at the end of collection
}

function CreateRule($name, $matchUrl = "*", $atAnchor = "") {
   $matchingPatternSyntax = if ($matchUrl -eq "*") {"Wildcard"} else { "ECMAScript" };

   $existing = Get-WebConfiguration -pspath $psPath "system.webServer/rewrite/globalRules"
   $index = IndexOfNode $existing.Collection $atAnchor

   Add-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules" -AtIndex $index -name "." -value @{name=$name;patternSyntax=$matchingPatternSyntax;stopProcessing='True';enabled='True'}
   Set-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules/rule[@name='$name']/match" -name "url" -value $matchUrl
}

function CreateRuleCondition($name, $in = "{HTTP_HOST}", $pattern, $negate = $false) 
{
   $value = @{
      input=$in;
      pattern=$pattern; 
   }

   if($negate -eq $true) {
      $value.Add("negate", "True")
   }

   Add-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules/rule[@name='$name']/conditions" -name "." -value $value
}

function CreateRewriteAction($name, $url) {   
   Set-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules/rule[@name='$name']/action" -name "type" -value "Rewrite"
   Set-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules/rule[@name='$name']/action" -name "url" -value "$url/{R:0}"
}

function CreateRedirectRule(
   $ruleName,      
   $matchUrl,
   $conditionHost,
   $farmName,
   $recreate = $true,
   $atName
) 
{
   if(CheckIfExists "system.webServer/rewrite/globalRules/rule" $ruleName $recreate) {
      if($recreate) {
         Write-Host "Removed existing $ruleName before proceeding"
      } else {
         Write-Host "Skipped existing $ruleName"
         return
      }
   }
   
   # Create a new rule
   CreateRule "$ruleName" -matchUrl $matchUrl -atAnchor $atName
   Set-WebConfigurationProperty -pspath $psPath  -filter "system.webServer/rewrite/globalRules/rule[@name='$farmName']/conditions" -name "logicalGrouping" -value "MatchAny"
   
   $conditionHost | ForEach-Object {
      CreateRuleCondition $ruleName -pattern $_
   }
   
   CreateRewriteAction $farmName "https://$farmName"
}

function CreateWebFarm(
      $farmName,
      $healthCheckUrl,
      $blueIpAddress,
      $greenIpAddress,
      $parentSiteHostName,
      $Recreate = $true
   )
{
   return; #debugging
   if(CheckIfExists "webFarms/webFarm" $farmName $Recreate) {
      if($Recreate) {
         Write-Host "Removed existing $farmName before proceeding"
      } else {
         Write-Host "Skipped existing $farmName"
         return
      }
   }
   
   Add-WebConfigurationProperty -pspath $psPath  -filter "webFarms" -name "." -value @{name=$farmName}
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/affinity" -name "useCookie" -value "True"
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/protocol/cache" -name "enabled" -value "False"
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/healthCheck" -name "url" -value $healthCheckUrl
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/healthCheck" -name "interval" -value "00:00:10"
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/healthCheck" -name "timeout" -value "00:00:5"
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/applicationRequestRouting/healthCheck" -name "responseMatch" -value "UP"

   Add-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']" -name "." -value @{address=$blueIpAddress}
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/server[@address='$blueIpAddress']/applicationRequestRouting" -name "hostName" -value $parentSiteHostName

   Add-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']" -name "." -value @{address=$greenIpAddress}
   Set-WebConfigurationProperty -pspath $psPath  -filter "webFarms/webFarm[@name='$farmName']/server[@address='$greenIpAddress']/applicationRequestRouting" -name "hostName" -value $parentSiteHostName
}

$host
 = "newservice.example.com"
$farm = "newservice-farm"

CreateWebFarm $farm "https://$farm/healthcheck.htm" $greenIp $blueIp $host
CreateRedirectRule -ruleName $farm -matchUrl "*" -conditionHost @($host) -farmName $farm -atName "--Inserting rules above this point--"

Parsing OData queries

OData (Open Data Protocol) is an ISO approved standard that defines a set of best practices for building and consuming RESTful APIs. It allows us write business logic and not worry too much about request and response headers, status codes, HTTP methods, and other variables.

We won’t go into too much detail on how to write OData queries and how to use it – there’s plenty resources out there. We’ll rather have a look at a bit esoteric scenario where we consider defining our own parser and then walking the AST to get desired values.

Problem statement

Suppose we’ve got a filter string that we received from the client:

"?$filter =((Name eq 'John' or Name eq 'Peter') and (Department eq 'Professional Services'))"

And we’d like to apply custom validation to the filter. Ideally we’d like to get a structured list of properties and values so we can run our checks:

Filter 1:
    Key: Name
    Operator: eq
    Value: John
Operator: or

Filter 2:
    Key: Name
    Operator: eq
    Value: Peter

Operator: and

Filter 3:
    Key: Department
    Operator: eq
    Value: Professional Services

Some options are:

  • ODataUriParser – but it seems to have some issues with .net Core support just yet
  • Regular Expression – not very flexible
  • ODataQueryOptions – produces raw text but cannot broken down any further

What else?

One other way to approach this would be parsing. And there are plenty tools to do that (see flex or bison for example). In .net world, however, Irony might be a viable option: it’s available in .net standard 2.0 which we had no issues plugging into a .net core 3.1 console test project.

Grammar

To start off, we normally need to define a grammar. But luckily, Microsoft have been kind enough to supply us with EBNF reference so all we have to do is to adapt it to Irony. I ended up implementing a subset of the grammar above that seems to cater for example statement (and a bit above and beyond, feel free to cut it down).

using Irony.Parsing;

namespace irony_playground
{
    [Language("OData", "1.0", "OData Filter")]
    public class OData: Grammar
    {
        public OData()
        {
            // first we define some terms
            var identifier = new RegexBasedTerminal("identifier", "[a-zA-Z_][a-zA-Z_0-9]*");
            var string_literal = new StringLiteral("string_literal", "'");
            var integer_literal = new NumberLiteral("integer_literal", NumberOptions.IntOnly);
            var float_literal = new NumberLiteral("float_literal", NumberOptions.AllowSign|NumberOptions.AllowSign) 
                                        | new RegexBasedTerminal("float_literal", "(NaN)|-?(INF)");
            var boolean_literal = new RegexBasedTerminal("boolean_literal", "(true)|(false)");

            var filter_expression = new NonTerminal("filter_expression");
            var boolean_expression = new NonTerminal("boolean_expression");
            var collection_filter_expression = new NonTerminal("collection_filter_expression");
            var logical_expression = new NonTerminal("logical_expression");
            var comparison_expression = new NonTerminal("comparison_expression");
            var variable = new NonTerminal("variable");
            var field_path = new NonTerminal("field_path");
            var lambda_expression = new NonTerminal("lambda_expression");
            var comparison_operator = new NonTerminal("comparison_operator");
            var constant = new NonTerminal("constant");

            Root = filter_expression; // this is where our entry point will be. 

            // and from here on we expand on all terms and their relationships
            filter_expression.Rule = boolean_expression;

            boolean_expression.Rule = collection_filter_expression
                                      | logical_expression
                                      | comparison_expression
                                      | boolean_literal
                                      | "(" + boolean_expression + ")"
                                      | variable;
            variable.Rule = identifier | field_path;

            field_path.Rule = MakeStarRule(field_path, ToTerm("/"), identifier);

            collection_filter_expression.Rule =
                field_path + "/all(" + lambda_expression + ")"
                | field_path + "/any(" + lambda_expression + ")"
                | field_path + "/any()";

            lambda_expression.Rule = identifier + ":" + boolean_expression;

            logical_expression.Rule =
                boolean_expression + (ToTerm("and", "and") | ToTerm("or", "or")) + boolean_expression
                | ToTerm("not", "not") + boolean_expression;

            comparison_expression.Rule =
                variable + comparison_operator + constant |
                constant + comparison_operator + variable;

            constant.Rule =
                string_literal
                | integer_literal
                | float_literal
                | boolean_literal
                | ToTerm("null");

            comparison_operator.Rule = ToTerm("gt") | "lt" | "ge" | "le" | "eq" | "ne";

            RegisterBracePair("(", ")");
        }
    }
}

NB: Irony comes with Grammar Explorer tool that allows us to load grammar dlls and debug them with free text input.

enter image description here

after we’re happy with the grammar, we need to reference it from our project and parse the input string:

class Program
{
    static void Main(string[] args)
    {
        var g = new OData();
        var l = new LanguageData(g);
        var r = new Parser(l);
        var p = r.Parse("((Name eq 'John' or Name eq 'Grace Paul') and (Department eq 'Finance and Accounting'))"); // here's your tree
        // this is where you walk it and extract whatever data you desire 
    }
}

Then, all we’ve got to do is walk the resulting tree and apply any custom logic based on syntax node type. One example how to do that can be found in this StackOverflow answer.