NetPackageAnalyzer- idea –part 1

I wanted to have a tool that can analyze a C# solution with all the dependencies ( project relations, packages, commits)

It generates a graph of the dependencies for

  • the packages of your solution ( and see when the major version of a package differs between projects)

  • the projects of your solution.
  • the project dependencies of each project.

Along with the graph, it also generates

  • a report for the commits of the solution per years.

  • a report for outdated/deprecated packages per solution.
  • building blocks for the solution – you can start from here to understand the solution

If you want to see how it looks like, you can see how he analyses himself at Analyzer

RSCG – ActorSrcGen

 
 

name ActorSrcGen
nuget https://www.nuget.org/packages/ActorSrcGen/
link https://github.com/aabs/ActorSrcGen
author Andrew Matthews

Generating source code for actors in C#.

 

This is how you can use ActorSrcGen .

The code that you start with is


<Project Sdk="Microsoft.NET.Sdk">

  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net8.0</TargetFramework>
    <ImplicitUsings>enable</ImplicitUsings>
    <Nullable>enable</Nullable>
  </PropertyGroup>

  <ItemGroup>
    <PackageReference Include="ActorSrcGen" Version="1.1.2" />
    <PackageReference Include="ActorSrcGen.Abstractions" Version="1.1.2" />
    <PackageReference Include="Gridsum.DataflowEx" Version="2.0.0" />
  </ItemGroup>
	<PropertyGroup>
		<EmitCompilerGeneratedFiles>true</EmitCompilerGeneratedFiles>
		<CompilerGeneratedFilesOutputPath>$(BaseIntermediateOutputPath)\GX</CompilerGeneratedFilesOutputPath>
	</PropertyGroup>
</Project>


The code that you will use is


// See https://aka.ms/new-console-template for more information
using ActorDemo;
using Gridsum.DataflowEx;

Person person = new Person { Name = "Andrei Ignat" };

DayWorkflow dayAndreiIgnat = new ();
var input = dayAndreiIgnat.InputBlock;
//async
await dayAndreiIgnat.SendAsync(person);
//sync
while (dayAndreiIgnat.Call(person))
{
    await Task.Delay(100);
}

Console.WriteLine("Done");
Console.ReadLine();


using ActorSrcGen;
using System.Diagnostics.Metrics;

namespace ActorDemo;
[Actor]
partial class DayWorkflow
{
    [FirstStep("StartDay")]
    //[Receiver]
    [NextStep(nameof(WashFace))]
    [NextStep(nameof(LogMessage))]
    public async Task<Person> StartDay(Person p)
    {
        await Task.Delay(1000 );
        return p;
    }

    

    [Step]
    [NextStep(nameof(LogMessage))]
    [NextStep(nameof(Eat))]
    public async Task<Person> WashFace(Person p)
    {
        await Task.Delay(1000);
        return p;
    }
    


    [Step]
    [NextStep(nameof(LogMessage))]
    [NextStep(nameof(Sleep))]
    public async Task<Person> Eat(Person p)
    {
        await Task.Delay(1000);
        return p;
    }
    

    [NextStep(nameof(LogMessage))]
    public async Task<int> Sleep(Person p)
    {
        await Task.Delay(1000);
        return p.Name.Length;
    }

    [LastStep]
    public void LogMessage(Person x)
    {
        Console.WriteLine("Incoming Message: " + x?.Name);
    }


}




namespace ActorDemo;
public class Person
{
    public string Name { get; set; }
}


 

The code that is generated is

// Generated on 2024-06-02
#pragma warning disable CS8625 // Cannot convert null literal to non-nullable reference type.
#pragma warning disable CS0108 // hides inherited member.

using ActorSrcGen;
using System.Diagnostics.Metrics;
namespace ActorDemo;
using System.Threading.Tasks.Dataflow;
using Gridsum.DataflowEx;
public partial class DayWorkflow : Dataflow<Person>, IActor<Person>
{
    public DayWorkflow() : base(DataflowOptions.Default)
    {
        _LogMessage = new ActionBlock<Person>(        (Person x) => {
            try
            {
                LogMessage(x);
            }catch{}
        },
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_LogMessage);
        _Eat = new TransformManyBlock<Person,Person>(       async (Person x) => {
           var result = new List<Person>();
           try
           {
               var newValue = await Eat(x);
               result.Add(newValue);
           }catch{}
           return result;
       },
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_Eat);
        _EatBC = new BroadcastBlock<Person>(    (Person x) => x,
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_EatBC);
        _WashFace = new TransformManyBlock<Person,Person>(       async (Person x) => {
           var result = new List<Person>();
           try
           {
               var newValue = await WashFace(x);
               result.Add(newValue);
           }catch{}
           return result;
       },
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_WashFace);
        _WashFaceBC = new BroadcastBlock<Person>(    (Person x) => x,
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_WashFaceBC);
        _StartDay = new TransformManyBlock<Person,Person>(       async (Person x) => {
           var result = new List<Person>();
           try
           {
               var newValue = await StartDay(x);
               result.Add(newValue);
           }catch{}
           return result;
       },
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_StartDay);
        _StartDayBC = new BroadcastBlock<Person>(    (Person x) => x,
            new ExecutionDataflowBlockOptions() {
                BoundedCapacity = 5,
                MaxDegreeOfParallelism = 8
        });
        RegisterChild(_StartDayBC);
        _Eat.LinkTo(_EatBC, new DataflowLinkOptions { PropagateCompletion = true });
        _EatBC.LinkTo(_LogMessage, new DataflowLinkOptions { PropagateCompletion = true });
        _WashFace.LinkTo(_WashFaceBC, new DataflowLinkOptions { PropagateCompletion = true });
        _WashFaceBC.LinkTo(_LogMessage, new DataflowLinkOptions { PropagateCompletion = true });
        _WashFaceBC.LinkTo(_Eat, new DataflowLinkOptions { PropagateCompletion = true });
        _StartDay.LinkTo(_StartDayBC, new DataflowLinkOptions { PropagateCompletion = true });
        _StartDayBC.LinkTo(_LogMessage, new DataflowLinkOptions { PropagateCompletion = true });
        _StartDayBC.LinkTo(_WashFace, new DataflowLinkOptions { PropagateCompletion = true });
    }

    ActionBlock<Person> _LogMessage;

    TransformManyBlock<Person,Person> _Eat;

    BroadcastBlock<Person> _EatBC;

    TransformManyBlock<Person,Person> _WashFace;

    BroadcastBlock<Person> _WashFaceBC;

    TransformManyBlock<Person,Person> _StartDay;

    BroadcastBlock<Person> _StartDayBC;
    public override ITargetBlock<Person> InputBlock { get => _StartDay; }
    public bool Call(Person input)
        => InputBlock.Post(input);

    public async Task<bool> Cast(Person input)
        => await InputBlock.SendAsync(input);
}

Code and pdf at

https://ignatandrei.github.io/RSCG_Examples/v2/docs/ActorSrcGen

[ADCES] Generative AI for .NET Dev & open-source LLMs using Semantic Kernel and LLaVA

Presentation 1 : Generative AI for .NET Dev
Description: TBD
Presenter : Andrei Ignat, http://msprogrammer.serviciipeweb.ro/

Presentation 2 : Deep dive into open-source LLMs using Semantic Kernel and LLaVA
Description: LLaVA, the Large Language and Vision Assistant, is a multimodal model that combines vision and language understanding. It can reason over images, aiding in decision-making based on the environment, thereby enhancing autonomy.

Let’s see how we can combine this promising model with the power of an AI orchestrator like Microsoft Semantic Kernel.

Presenter : Daniel Costea, https://www.linkedin.com/in/danielcostea

https://www.meetup.com/bucharest-a-d-c-e-s-meetup/events/300509200/

Pattern: AbstractFactory

Description

Abstract Factory is a creational design pattern that lets you produce families of related objects without specifying their concrete classes.

Example in .NET :

AbstractFactory


using Microsoft.Data.SqlClient;
using System.Data.Common;

namespace AbstractFactory;
internal class AbstractFactoryDemo
{
    public static void Demo()
    {
        //create DbConnection factory by using the instance of SqlConnection
        DbConnection connection = new SqlConnection();
        //create DbCommand instance by using the instance of SqlConnection
        DbCommand command = connection.CreateCommand();
        //really, the DBCommand is a SqlCommand
        SqlCommand? sqlCommand = command as SqlCommand;
        //check if the DbCommand is a SqlCommand
        Console.WriteLine($"DbCommand is SqlCommand: {sqlCommand != null}");
    }
}

Learn More

Source Code for Microsoft implementation of AbstractFactory

SourceCode DbConnection

Learn More

Wikipedia

}

Homework

Imagine you want to produce loggers. You have a logger that logs to a file and a logger that logs to a console and a Nothing Logger – a logger that does nothing. Implement an abstract factory that will allow you to create a logger factory that will create a logger that logs to a file or to a console or nothing.

Pattern: Flyweight

Description

Flyweight pattern is used to reduce the memory and resource usage for complex models containing a large number of similar objects.

Example in .NET :

Flyweight

using System.Text;

namespace Flyweight;
internal class FlyweightDemo
{
    public static void Demo()
    {
        var str = "Andrei Ignat";
        var str2 = string.Intern(str);
        var str3 = new StringBuilder("Andrei").Append(" Ignat").ToString();
        Console.WriteLine($"str == str2: Value {str==str2} Reference {Object.ReferenceEquals(str,str2)}");
        Console.WriteLine($"str == str3: Value {str==str3} Reference {Object.ReferenceEquals(str,str3)}");

    }
}

Learn More

Source Code for Microsoft implementation of Flyweight

SourceCode String.Intern

Learn More

Wikipedia

}

Homework

Make an exchange rate system. The symbol and names of the currency are the same for all the currencies. The exchange rate is different for each currency. Implement a flyweight that will allow you to create a currency with a symbol and a name and to get the exchange rate for the currency.

Andrei Ignat weekly software news(mostly .NET)

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