FluentValidation VS Sprache

Here is an example of Command handler with built-in Fluent Validation and fire and forget style:

There is an RFC called Problem Details (RFC7807) that standardizes how an error in an API should be responded to for the client. If you use Fluent validation, you may have noticed that the response is within this pattern.

here we're defining the input validation requirements using fluent validation rules. let's see what happens when the user input doesn't meet the above criteria. execute the same request in swagger with the following incorrect json content:

I remember FluentValidation being a nice library for this type of stuff.

Literally the code example in the front page: https://fluentvalidation.net/

https://www.nuget.org/packages/Newtonsoft.Json/ https://www.nuget.org/packages/AutoMapper/ https://www.nuget.org/packages/Dapper/ https://www.nuget.org/packages/FluentValidation/ https://www.nuget.org/packages/FluentAssertions/ https://www.nuget.org/packages/NUnit/ https://www.nuget.org/packages/xunit/ https://www.nuget.org/packages/YamlDotNet/ https://www.nuget.org/packages/Moq/ That is simply not true. Mature c# projects purposely maintain no downstream dependencies and is they do, it's to a major reputable lib. See for yourself - these are staple third party packages commonly used. Anything dependency starting with System or NETStandard is Microsoft maintained.

FluentValidator for validating and authorising certain fields.

Now that we know the importance of providing users with enough information about their requests and how it was processed, let’s focus on how we can configure our API to help us do that.One aspect of such meaningful experience is Request Validation (400 Error Range). For that purpose I am using a library called Fluent Validation.

Sprache

Unfortunately I'm struggling. The first problem is choosing which combinator library to go with: Sprache, Superpower, Parlot, Pidgen, Lexepars, etc. etc. Some look simpler to use than others, others more performant, others come with useful parsers built in.

I found Sprache much easier to learn/use than FParsec.

Things like https://github.com/sprache/Sprache are arguably similar.

Att my office usually use Sprache to parse complex models from strings. Mostly query expressions, but it should excell at parsing html as well. Maybe it can be a solution for you here. https://github.com/sprache/Sprache