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Data-format to jsonschema

Function: Data-format to jsonschema​

This action allows you to convert the structure of any chosen data format within your application into a standardized text format called JSON Schema. This is incredibly useful for understanding the blueprint of your data, validating information, or integrating with other systems that require a schema definition. The resulting JSON Schema is then saved as plain text into a variable you define.

Input​

  • Data-format
    • Description: Select the specific data format (like a database table or a data object) whose structure you want to convert into a JSON Schema.
    • Type: DATA_FORMAT (A database table or data transfer object)
    • Required: Yes

Output​

  • Result
    • Description: Provide the name of the variable where the generated JSON Schema text will be stored. This variable will hold the complete schema as a piece of text.
    • Type: STRING (A piece of text)

Execution Flow​

Real-Life Examples​

Example 1: Validating User Input Forms​

Imagine you have a "User Profile" data format that defines all the fields for a user's information (e.g., name, email, age, address). You want to ensure that any data submitted through a user registration form strictly adheres to this structure.

  • Inputs:
    • Data-format: User Profile
    • Result: UserProfileSchemaText
  • Result: The UserProfileSchemaText variable will contain the complete JSON Schema definition for your "User Profile" data format. You can then use this schema in a subsequent action to validate incoming user data, ensuring all required fields are present and in the correct format before saving.

Example 2: Generating Dynamic API Documentation​

You're building an API and want to automatically generate documentation for the data structures your API uses. You have a "Product Details" data format that describes your product catalog.

  • Inputs:
    • Data-format: Product Details
    • Result: ProductAPISchema
  • Result: The ProductAPISchema variable will hold the JSON Schema for the "Product Details" data format. This text can be directly embedded into your API documentation, providing developers with a clear, machine-readable definition of the data they can expect to send or receive.

Example 3: Building Dynamic Configuration Interfaces​

Your application allows users to define custom settings, and these settings are stored in a "Application Settings" data format. You want to create a dynamic user interface that automatically adapts to changes in this data format.

  • Inputs:
    • Data-format: Application Settings
    • Result: AppSettingsSchema
  • Result: The AppSettingsSchema variable will store the JSON Schema of your "Application Settings" data format. A UI component can then read this schema to dynamically render input fields, dropdowns, and other controls, allowing users to configure settings without needing manual updates to the interface every time the data format changes.