JSON to Typescript Effect Schema Class

Tool Introduction

This tool aims to help developers quickly convert complex JSON data structures into Typescript Effect Schema classes. By automatically inferring JSON field types and generating TS code that conforms to Effect Schema specifications, it greatly simplifies data validation and type safety assurance, improving development efficiency and code quality. Whether it's a simple configuration object or a complex API response structure, it can be easily converted, helping Effect-TS projects quickly build data models.

How to Use

1. Paste the JSON data you want to convert into the left or specified input box.
2. (If the tool provides options) Select the Effect Schema version or other generation options according to your needs.
3. Click the "Generate" button, and the tool will generate the corresponding Typescript Effect Schema class code in real-time or asynchronously.

Input Parameters: A JSON-compliant string needs to be provided, which can be a single object, array, or nested structure. The tool will intelligently infer field types based on the JSON structure.

Output Results: The tool will generate a Typescript code snippet containing one or more Effect Schema classes (or Zod Schema compatible), which can be directly copied and pasted into your Typescript project.

Usage Example

Below is an example of converting a JSON object into a Typescript Effect Schema class.

• Example Input Data:

  {
    "userId": 1,
    "userName": "Alice",
    "email": "alice@example.com",
    "isActive": true,
    "roles": ["admin", "editor"]
  }

• Expected Output Result (Typescript Effect Schema code):

  import { Schema } from '@effect/schema';
  
  export const UserSchema = Schema.struct({
    userId: Schema.number,
    userName: Schema.string,
    email: Schema.string,
    isActive: Schema.boolean,
    roles: Schema.array(Schema.string)
  });
  
  export type User = typeof UserSchema.Type;

• Specific Operation Demo: Just paste the above JSON data into the input area of this tool, click the "Generate" button, and you can get the corresponding Effect Schema Typescript code in the output area.

Frequently Asked Questions

• Q: What input formats does this tool support? A: This tool currently only supports standard JSON format strings as input, whether it's a single object, array, or complex nested structure.
• Q: What is the format of the output result? A: The output result is Effect Schema definition code that can be directly used in Typescript projects, usually containing one or more Schema.struct definitions and their corresponding Typescript types.
• Q: How does the tool handle nested JSON objects and arrays? A: The tool can intelligently parse nested JSON objects and arrays, and generate corresponding Effect Schema structures and type definitions for them, maintaining the data hierarchy.
• Q: Does the generated Schema support union types or optional fields? A: Currently, the tool mainly generates based on the explicit structure of JSON. For optional fields, if a field is missing in JSON, Schema.optional may not be automatically generated. For union types, users need to manually adjust the generated code according to business logic.

Notes

• Please ensure that the input JSON data format is valid and conforms to JSON specifications, otherwise it may lead to conversion failure or abnormal results.
• The tool will try its best to infer the Typescript type of JSON fields (such as string, number, boolean, array, object), but for more complex types (such as Date objects, specific enum values), users may need to manually adjust the generated Schema.
• For missing fields in JSON, the tool does not generate Schema.optional by default. If optional fields are required, please manually modify the code after generation.
• The code generated by this tool is only a basic template, and developers are advised to further optimize and improve it according to actual business needs.

Introduction to Effect Schema

Effect Schema is a core module in the Effect-TS ecosystem, used to define, validate, and transform data structures. It provides a powerful and type-safe way to describe your data model, and supports runtime validation, serialization/deserialization, and pipe operations. Through Effect Schema, developers can ensure the integrity and consistency of application data, while enjoying the static type checking advantages brought by Typescript, greatly improving code robustness and maintainability.

Compared with traditional interfaces or type definitions, Effect Schema not only provides type information, but also provides actual validation logic. This means you can use the same Schema to parse data from external sources (such as API responses, database records) and ensure that it conforms to the expected structure and constraints. This is particularly important when building large, complex applications with high data quality requirements.