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@sylorion/gql-pb-gen

0.0.3 • Public • Published

GraphQL Protobuff generator

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.

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npm i @sylorion/gql-pb-gen

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0.0.3

License

Apache-2.0

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Collaborators

  • jcnm