Validator Crate

A focused specification of the Rust validator crate, describing purpose, rules, inputs, outputs, and integration for reliable data validation in Rust projects.

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The Validator Crate specification describes how data validation is modeled in Rust using derive(Validate) and field attributes. It covers typical use cases such as validating configuration structs, API payloads, and CLI inputs, with emphasis on deterministic error reporting and transparent rule composition. It explains the conceptual workflow: define a data model, attach validation attributes, and invoke validation to produce structured errors per field. It highlights nested validation for complex hierarchies and how serde deserialization interplays with subsequent validation. It also notes unique differentiators like macro-driven validation, compile-time ergonomics, and strong type safety, which reduce runtime surprises and improve maintainability. The tool identifies outputs as a per-field error map and a global result, enabling straightforward integration with downstream logic and testing. Finally, it outlines common patterns, such as cross-field validation, custom validators, and how to propagate validation context through error objects for effective debugging.

Developers benefit from a clear map of capabilities, constraints, and integration points, enabling consistent enforcement of data contracts across services, libraries, and binaries. The specification also clarifies what is out of scope, such as UI concerns or platform-specific adapters, focusing strictly on validation semantics, error structure, and integration in Rust codebases.

Use cases include validating config files loaded at startup, ensuring API payloads conform to expected shapes, and validating user input in CLIs. The document positions the validator crate as a core reliability feature that reduces runtime failures and promotes secure, predictable software behavior.

How to Use

Define your data model with appropriate validation attributes.
Mark fields as required or optional to reflect your data contract.
Invoke validate() on an instance (or derive-based validation) to produce a result.
Inspect the per-field error map or result status to identify failures.
Extend with custom validators or nested validation as needed.

How to use validator crate

Frequently Asked Questions

Find Quick Answers

What is the validator crate?
The validator crate provides macros and traits to perform declarative validation on Rust structs. It enables per-field rules, nested validation, and integration with Serde for deserializing validated data, improving reliability of config, API payloads, and user input handling.
Does it support nested validation?
Yes. Nested structs implementing Validate can be validated recursively. The crate propagates errors from inner fields to the outer model, enabling comprehensive validation across complex data graphs.
How are errors reported?
Errors are collected per field in a structured map, with messages for each failing rule. The result can be a collection of field-specific errors plus a top-level status, facilitating precise debugging and user feedback.
Can it validate deserialized payloads?
Yes. You typically deserialize with Serde and then run validation on the resulting structure. This sequence ensures type correctness first, followed by domain-specific validation rules.

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