For simple use cases where you need to validate an instance against a schema once, use is_valid or validate functions: use serde_json::json; let schema = json!({"type": "string"}); let instance = json!("Hello, world!"); assert!(jsonschema::is_valid(&schema, &instance)); assert!(jsonschema:...

This schema validator is built using Json.NET Schema and C#. public class JsonSchemaController : ControllerBase { [HttpPost] [Route("api/jsonschema/validate")] public ValidateResponse Validate(ValidateRequest request) { // Load schema JSchema schema = JSchema.Parse(request.Schema); JToken json = JToken.Parse(request.Json); // Validate json IList<ValidationError> errors; bool valid = json.IsValid(schema, out errors); // Return error messages and line info to the browser return new ValidateResponse { Valid = valid, Errors = errors }; } } public class ValidateRequest { public string Json { get; set; } public string Schema { get; set; } } public class ValidateResponse { public bool Valid { get; set; } public IList<ValidationError> Errors { get; set; } }

Validate your JSON data against a JSON Schema. Catch structural errors, type mismatches, and missing required fields before they cause bugs.

It is assumed to be valid, and providing an invalid schema can lead to undefined behavior. See Validator.check_schema to validate a schema first. resolver – an instance of jsonschema.RefResolver that will be used to resolve $ref properties (JSON references).

JSON Schema Validation, in browser, using ajv, with linting, and shareable schemas

2 days ago - JsonSchema.Net implements keywords using singleton keyword handlers. These handlers are responsible for validating that the keyword data is valid in the schema, building any subschemas, and instance evaluation.

The Basics: The simplest way to validate an instance under a given schema is to use the validate function. The Validator Protocol: jsonschema defines a protocol that all validator classes adhere to...

In this example, "country" is not a required property. Because the if schema also doesn't require the "country" property, it will pass and the "then" schema will apply. Therefore, if the "country" property is not defined, the default behavior is to validate "postal_code" as a USA postal code.

Establish a common language for data exchange, no matter the scale or complexity of your project. Define precise validation rules for your data structures to create shared understanding and increase interoperability across different systems and platforms.

The Basics: The simplest way to validate an instance under a given schema is to use the validate function. The Validator Protocol: jsonschema defines a protocol that all validator classes adhere to...

Each tree and child has a ErrorTree.errors attribute, a dict, that maps the failed validation keyword to the corresponding validation error. The best_match function is a simple but useful function for attempting to guess the most relevant error in a given bunch. >>> from jsonschema import Draft202012Validator >>> from jsonschema.exceptions import best_match >>> schema = { ...

April 1, 2024 - In this post, I describe how to validate JSON data against a JSON schema in .NET.

Formats: Built-in validators for email, UUID, datetime, URI, etc. Registration: Register schemas for reuse and cross-references ... type User struct { Name string `jsonschema:"required,minLength=2,maxLength=50"` Email string `jsonschema:"required,format=email"` Age int `jsonschema:"minimum=18,maximum=120"` } // Generate schema from struct tags schema, err := jsonschema.FromStruct[User]() if err != nil { panic(err) } result := schema.Validate(userData)

To use this tool, paste your JSON schema in the left editor and your JSON data in the right editor. The tool will automatically validate your JSON data against the schema and display any errors.

curl -fsSL https://raw.githubusercontent.com/sourcemeta/jsonschema/main/install -H 'Cache-Control: no-cache, no-store, must-revalidate' | /bin/sh

Incorrect data types or missing some required fields will trigger the ValidationError. However, it should be noted that by default additional fields are allowed, which may or may not be what you want. If you want a strict schema and only allow fields that are defined by the properties keyword, you can specify the additionalProperties to be False: from jsonschema import validate schema = { "type": "object", "properties": { "name": {"type": "string"}, "age": {"type": "number"}, }, "required": ["name"], "additionalProperties": False } validate(instance={"name": "John", "age": 30, "job": "Engineer"}, schema=schema) # ValidationError: Additional properties are not allowed ('job' was unexpected)

use serde_json::json; fn main() -> Result<(), Box<dyn std::error::Error>> { let schema = json!({"maxLength": 5}); let instance = json!("foo"); // One-off validation assert!(jsonschema::is_valid(&schema, &instance)); assert!(jsonschema::validate(&schema, &instance).is_ok()); // Build & reuse (faster) let validator = jsonschema::validator_for(&schema)?; // Fail on first error assert!(validator.validate(&instance).is_ok()); // Iterate over errors for error in validator.iter_errors(&instance) { eprintln!("Error: {error}"); eprintln!("Location: {}", error.instance_path()); } // Boolean result assert!(validator.is_valid(&instance)); // Structured output (JSON Schema Output v1) let evaluation = validator.evaluate(&instance); for annotation in evaluation.iter_annotations() { eprintln!( "Annotation at {}: {:?}", annotation.schema_location, annotation.annotations.value() ); } Ok(()) }

>>> validate(instance={"name" : "Eggs", "price" : 34.99}, schema=schema) >>> validate( ... instance={"name" : "Eggs", "price" : "Invalid"}, schema=schema, ... ) Traceback (most recent call last): ... ValidationError: 'Invalid' is not of type 'number' It can also be used from the command line by installing check-jsonschema.

January 7, 2025 - validator.attributes.contains = function validateContains(instance, schema, options, ctx) { if(typeof instance !== 'string') return; if(typeof schema.contains !== 'string') throw new jsonschema.SchemaError('"contains" expects a string', schema); if(instance.indexOf(schema.contains)<0){ return 'does not contain the string ' + JSON.stringify(schema.contains); } } var result = validator.validate("I am an instance", { type:"string", contains: "I am" }); // result.valid === true;