Tool Introduction
"JSON to Rust Class" is a convenient and efficient online tool designed to help Rust developers quickly convert JSON formatted data into corresponding Rust structs. Whether you're dealing with API responses, configuration files, or other data sources, you just need to paste the JSON string, and the tool will automatically parse the data structure and generate struct definitions that conform to Rust specifications, eliminating the tedious manual writing and significantly improving development efficiency and accuracy.
How to Use
- Open the "JSON to Rust Class" tool page.
- In the left "JSON String" input box (CodeMirror editor), paste the JSON data you want to convert. Please ensure the JSON format is correct.
- The tool will automatically parse the input JSON and display the generated Rust struct code in real-time in the right "Converted Class" output box (CodeMirror editor).
- You can directly copy the code to your Rust project, or make necessary modifications and adjustments.
Input Parameter Format: Must be a valid JSON string, which can be a JSON object ({}) or a JSON array ([]), supporting nested structures.
Output Result Format: Struct definition code conforming to Rust language syntax, including fields, types, and common derive macros (e.g., Debug, serde::Serialize, serde::Deserialize).
Frequently Asked Questions
- Q: What JSON input formats are supported?
- A: This tool supports standard JSON objects (
{}) and JSON arrays ([]) as input, including nested JSON structures. Ensure your JSON string is well-formed and valid.
- Q: What is the format of the output Rust code?
- A: The output result is struct definition code that conforms to Rust language specifications. The tool will infer the corresponding Rust data types (such as
i64, f64, bool, String, Vec, etc.) based on JSON fields, and add common #[derive(Debug, serde::Serialize, serde::Deserialize)] macros to each struct for debugging, serialization, and deserialization operations.
- Q: How does the tool handle the conversion of JSON key names to Rust field names?
- A: The tool typically intelligently converts JSON's
snake_case or camelCase key names to idiomatic snake_case field names in Rust. For fields requiring special handling, you can manually modify the generated code.
- Q: If JSON contains null values, how will Rust types represent them?
- A: If a JSON field can be
null, the tool will convert it to Rust's Option<T> type, for example, "field": null will be converted to pub field: Option<String> (if the original type was a string).
Notes
- Input JSON Validity: Please be sure to provide a correctly formatted and valid JSON string. Any syntax errors or incomplete JSON may lead to conversion failure or incorrect Rust code generation.
- Data Type Inference: The tool will do its best to infer the Rust data types of JSON fields. For numeric types (integers or floating-point numbers), the tool will infer based on value range and characteristics. If a field's type is inconsistent in the JSON (e.g., sometimes a number, sometimes a string), you may need to manually adjust the type definition in the generated Rust struct.
- Field Name Conflicts: If JSON contains similarly named but differently cased fields (e.g.,
userName and username), conflicts may occur when converting to Rust's snake_case. It is recommended to keep JSON field names unique, or adjust them manually after generation.
- Large JSON Processing: For very large and complex JSON structures, generation time may be slightly longer. It is recommended to process in chunks or manually optimize the generated code if necessary.
