You no longer need an elaborate system of codification or a lengthy string of characters to identify a record. With the advent of standard codification methods like Barcode and QR codes, packing large amounts of data and extra information is now easy. Data transmission and processing also is simpler through these universally accepted methods of codification. As smartphones with inbuilt scanners are becoming commonplace, accessing and interpreting this information are also becoming easier. We no longer need a training or code breaker to understand what does the 16-character invoice number signifies. 

 While the need for barcodes and QR codes is accepted globally, most standard CRM systems do not provide this feature natively. C Centric now brings the ability to generate Bar or QR code for any record in Microsoft Dynamics CRM 365. With this solution, you will be able to leverage the benefits of standard codification methods for all your records in CRM. 


 

USER-DRIVEN AND EASY-TO-USE

Choose which fields in your CRM record will be a part of the code. Any number of fields can be tagged against the code (in compliance to the restrictions of the underlying technology). If you so choose, the information captured in the code can also be made to change dynamically as the record gets updated. This ensures that the code is always updated with the latest information


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The Code Generator also provides the option to store your generated codes in a secure manner. You can choose to store them on the cloud or inside your CRM. An easy selection option allows you to control how the code will be stored.

Two-step verification: The standard verification method, where one of the factors is your password. After you sign in using your username and password, you can either approve a notification or enter a provided verification code.

To secure your account, the Authenticator app can provide you with a code you provide additional verification to sign in. No need to wait for texts or calls. The following instructions ensure only you can access your information.

After your account appears in your Authenticator app, you can use the one-time codes to sign in. For more information and support on the Authenticator App, open the Download Microsoft Authenticator page.

This article provides an overview of Source Generators that ships as part of the .NET Compiler Platform ("Roslyn") SDK. Source Generators let C# developers inspect user code as it is being compiled. The generator can create new C# source files on the fly that are added to the user's compilation. In this way, you have code that runs during compilation. It inspects your program to produce additional source files that are compiled together with the rest of your code.

Retrieve a compilation object that represents all user code that is being compiled. This object can be inspected, and you can write code that works with the syntax and semantic models for the code being compiled, just like with analyzers today.

Generate C# source files that can be added to a compilation object during compilation. In other words, you can provide additional source code as input to a compilation while the code is being compiled.

When combined, these two things are what make Source Generators so useful. You can inspect user code with all of the rich metadata that the compiler builds up during compilation. Your generator then emits C# code back into the same compilation that is based on the data you've analyzed. If you're familiar with Roslyn Analyzers, you can think of Source Generators as analyzers that can emit C# source code.

Runtime reflection is a powerful technology that was added to .NET a long time ago. There are countless scenarios for using it. A common scenario is to perform some analysis of user code when an app starts up and use that data to generate things.

With a Source Generator, the controller discovery phase of startup could instead happen at compile time. A generator can analyze your source code and emit the code it needs to "wire up" your app. Using source generators could result in some faster startup times, since an action happening at run time today could get pushed into compile time.

Source Generators can improve performance in ways that aren't limited to reflection at run time to discover types as well. Some scenarios involve calling the MSBuild C# task (called CSC) multiple times so they can inspect data from a compilation. As you might imagine, calling the compiler more than once affects the total time it takes to build your app. We're investigating how Source Generators can be used to obviate the need for juggling MSBuild tasks like this, since Source generators don't just offer some performance benefits, but also allows tools to operate at the right level of abstraction.

Replace the Program class with the following code. The following code doesn't use top level statements. The classic form is required because this first source generator writes a partial method in that Program class:

From the context object we can access the compilations' entry point, or Main method. The mainMethod instance is an IMethodSymbol, and it represents a method or method-like symbol (including constructor, destructor, operator, or property/event accessor). The Microsoft.CodeAnalysis.Compilation.GetEntryPoint method returns the IMethodSymbol for the program's entry point. Other methods enable you to find any method symbol in a project. From this object, we can reason about the containing namespace (if one is present) and the type. The source in this example is an interpolated string that templates the source code to be generated, where the interpolated holes are filled with the containing namespace and type information. The source is added to the context with a hint name. For this example, the generator creates a new generated source file that contains an implementation of the partial method in the console application. You can write source generators to add any source you'd like.

We now have a functioning generator, but need to connect it to our console application. Edit the original console application project and add the following, replacing the project path with the one from the .NET Standard project you created above:

Now, when you run the console application, you should see that the generated code gets run and prints to the screen. The console application itself doesn't implement the HelloFrom method, instead it's source generated during compilation from the Source Generator project. The following text is an example output from the application:

You can also set build properties to save the generated file and control where the generated files are stored. In the console application's project file, add the element to a , and set its value to true. Build your project again. Now, the generated files are created under obj/Debug/net6.0/generated/SourceGenerator/SourceGenerator.HelloSourceGenerator. The components of the path map to the build configuration, target framework, source generator project name, and fully qualified type name of the generator. You can choose a more convenient output folder by adding the element to the application's project file.

Today, there are three general approaches to inspecting user code and generating information or code based on that analysis used by technologies today: runtime reflection, IL weaving, and juggling MSBuild tasks. Source Generators can be an improvement over each approach.

Runtime reflection is a powerful technology that was added to .NET a long time ago. There are countless scenarios for using it. A very common scenario is to perform some analysis of user code when an app starts up and use that data to generate things.

Another characteristic of Source Generators is that they can help remove major barriers to linker-based and AOT (ahead-of-time) compilation optimizations. Many frameworks and libraries make heavy use of reflection or reflection-emit, such as System.Text.Json, System.Text.RegularExpressions, and frameworks like ASP.NET Core and WPF that discover and/or emit types from user code at runtime.

Source Generators are similar to analyzers, since both are compiler features that let you plug into a compilation. The key difference is that analyzers ultimately emit diagnostics that can be used to associate with a code fix. Source Generators ultimately emit C# source code that is added to a compilation. There are several other differences discussed in the design document.

No. As mentioned earlier, Source Generators do not allow you to rewrite user source code. We do not intend on allowing them to this. They can only augment a compilation by adding C# source files to it.

What do you think about allowing insertions of pure method calls into existing code if this concept ever makes entrance to .net world? If im not mistaken pure means no side effects and as such they wouldnt hugely affect behaviour of already written code

Conceptually T4 and source generators are similar; however source generators run inside the compiler pipeline, which means you can do things like introspecting the users code to make decisions about what to emit.

Because they are part of the compiler pipeline, source generators are supported everywhere the compiler is, including inside Visual Studio, command line builds and CI. T4 on the other hand has limited support outside of Visual Studio, and must be manually run before building.

Interesting. Are there limitations / sandboxing in Source Generators regarding reading or writing external files? Like, generating C# code based on a JSON file, or generating a .ts file based on C# code? These are my go-to T4 scenarios.

So source generators are essentially just producing new source files on the fly that contain either static or partial classes. In the case of the INotifyPropertyChanged example, it just looks for attributes on the fields of the class the user wrote and then it generates a new partial class with the properties.

dotnet aspnet-codegenerator - Runs the ASP.NET Core scaffolding engine. dotnet aspnet-codegenerator is only required to scaffold from the command line, it's not needed to use scaffolding with Visual Studio. ff782bc1db

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