json_serializable.dart VS very_good_cli

If you really want to write it yourself, sure. This code is very easily automatically generated.

https://pub.dev/packages/json_serializable

Serializing and deserializing json is easy thanks to the json_serializable integration. Makes it impossible to make mistakes like you would normally when working with dynamic values and strings.

We will now create a new file called build.yaml in the failures directory and add the following code. This will change the behaviour of the json_serializable so that it generates JSON keys in snake_case.

Once the package has been created, we will install freezed for JSON serialization and value equality , as this library provides helpful tools for these tasks. We will use json_serializable for JSON serialization. To install freezed and freezed_annotation, open your terminal inside the models package and use the command:

However, we cannot do this kind of JSON de-serialization in Flutter. Without reflection, we need to consider other approaches for these same tasks. For instance, the package json_serializable uses source code generation for decorating classes with methods to serialize and de-serialize JSON strings.

We could work around having to introduce parsing logic by using a package such as json_serializable to parse data to and from JSON to save ourselves some time. However, you'd need to make sure the native platforms are returning the data in the exact format you are expecting, and vice versa. Otherwise the parsing will fail.

json_serializable - Provides Dart Build System builders for handling JSON.

The other ways involve using a package like json_serializable. They automatically generate boilerplate code to convert between your model classes and JSON. The issue is that Flutter doesn't support reflection (Dart does, but Flutter for mobile doesn't due to performance reasons) so any kind of library that generates code needs to do so statically. All packages involve annotating your classes and then running a builder script that generates the boilerplate code.

To do this, we will be using very_good_cli.

You could write your own bash script or CLI to help manage these tasks. However, this costs you some time. In order to deal with these tasks more quickly, you can use community tools, like Melos, Very Good CLI, or Sidekick. In this article, we are going to use Melos. Melos is also used by repositories like FlutterFire, AWS Amplify (Flutter), Flame, and Plus Plugins.

Yup you can bundle templates as Dart code and programmatically reference them. See very_good_cli for an example.

Manual configuration is needed to set up flavors in our Flutter application, which means we will have to work with many files in different directories. This might become very confusing, but things can be made a lot easier with the help of very_good_cli.

I am sorry. I meant to suggest that you review their code as a starting point for your own effort. https://github.com/VeryGoodOpenSource/very_good_cli

Just a few days ago i randomly surf some flutter packages and found one package which is very_good_cli this packages help us to make our flutter packages is more stable code base, file and folder structure many more in short.

I’ve just found a great looking structure, yet to try it but watched their intro videos and looks well thought out. Very Good Cli, search YouTube and watch their intro videos Very Good Cli

Not really sure what you are looking for with this question, but the very_good cli also gives a complete, but opiniated template: https://github.com/VeryGoodOpenSource/very_good_cli

Not sure if it’s exactly what you are looking for but some CLI for project generation might help. Something like https://pub.dev/packages/slidy or https://pub.dev/packages/very_good_cli