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
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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.