npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

gql-pb-gen

v0.0.2

Published

#GraphQL Protobuff generator for TypeScript: - **Consistency Across Systems**: Automation ensures that both your GraphQL schemas and protobuf definitions are always in sync. This consistency reduces the risk of data mismatches and communication errors

Downloads

153

Readme

GraphQL Protobuff generator for TypeScript

Addressed problematics

  • Consistency Across Systems: Automation ensures that both your GraphQL schemas and protobuf definitions are always in sync. This consistency reduces the risk of data mismatches and communication errors between services and clients.
  • Reduced Manual Work: Manually maintaining parallel schemas in GraphQL and protobuf can be time-consuming and error-prone. Automation eliminates repetitive tasks, allowing developers to focus on more critical aspects of the project.
  • Faster Iterations: With automated translation, any changes made to the GraphQL schema can be quickly propagated to the protobuf definitions. This rapid update cycle accelerates development and deployment processes.
  • Improved Maintainability: Automation tools can handle complex schema transformations and edge cases, making it easier to maintain and evolve your APIs over time.
  • Enhanced Collaboration: A unified schema approach simplifies understanding for all team members, including front-end and back-end developers, leading to better collaboration and fewer misunderstandings.

How It Works

1. Custom Annotations in GraphQL:

  • Define Directives: GraphQL allows you to define custom directives (annotations) that can be attached to fields, types, or other schema elements.
  • Annotate Fields: You can use these directives to mark fields that require special handling. For example, you might have directives like @exclude, @internal, or @secure.

2. Translation Tooling:

  • Parsing Annotations: Your translation tool or script reads the GraphQL schema and parses the annotations.
  • Conditional Logic: Based on the annotations, the tool decides whether to include, exclude, or transform a field in the protobuf definition.
  • Security Transformations: For fields that need to be transformed (e.g., encrypted, hashed), the tool applies the necessary transformations during translation.

3. Output Generation

  • Protobuf Definitions: The tool generates protobuf definitions based on the translated schema.
  • Type Mapping: GraphQL types are mapped to protobuf types, ensuring that the data structures are compatible across systems.
  • Custom Logic: The tool can also include custom logic or transformations in the generated code, depending on the annotations.

4. Integration with Codebase

  • Generated Code: The generated protobuf definitions can be integrated into your codebase, allowing you to use them in your services and clients.
  • Compile and Build: You can compile the protobuf definitions to generate client libraries, server stubs, or other artifacts for your system.
  • Runtime Behavior: The translated schema and generated code ensure that your services and clients communicate effectively and securely.

Benefits

1. Enhanced Security

  • Data Protection: By excluding sensitive fields or transforming them appropriately, you reduce the risk of exposing confidential information.
  • Compliance: Helps in meeting regulatory requirements by ensuring sensitive data is handled according to security policies.

2. Flexibility and Control

  • Fine-Grained Control: Annotations provide a way to control the translation at the field level.
  • Custom Behavior: Allows for custom translation behaviors without changing the underlying schema or writing extensive custom code.

3. Consistency and Maintainability:**

  • Single Source of Truth: Keeping annotations within the schema ensures that all metadata about field handling is centralized.
  • Ease of Updates: Changes to annotations automatically reflect in the translation process, making maintenance easier.