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Ajv JSON schema validatorAjv JSON schema validator

# User defined keywords

# Common attributes of keyword definitions

The usual interface to define all keywords has these properties:

interface_KeywordDef{  keyword:string|string[]  type?: JSONType| JSONType[]// data type(s) that keyword applies to,// if defined, it is usually "string", "number", "object" or "array"  schemaType?: JSONType| JSONType[]// the allowed type(s) of value that keyword must have in the schema  error?:{    message:string|((cxt: KeywordCxt)=> Code)    params?:(cxt: KeywordCxt)=> Code}}

Keyword definitions may have additional optional properties - seetypes(opens new window) andKeywordCxt(opens new window).

# Define keyword with code generation functionrecommended

Starting from v7 Ajv usesCodeGen module(opens new window) for all pre-defined keywords - seecodegen.md for details.

This is the best approach for user defined keywords:

  • safe against code injection
  • best performance
  • the precise control over validation process
  • access to the parent data and the path to the currently validated data

While Ajv can be safely used with plain JavaScript, it is strongly recommended to use Typescript for user-defined keywords that generate code - the prevention against code injection via untrusted schemas is partially based on the type system, not only on runtime checks.

The usual keyword definition for keywords generating code extends common interface with "code" function:

interfaceCodeKeywordDefinitionextends_KeywordDef{code:(cxt: KeywordCxt, ruleType?:string)=>void// code generation function}

Exampleeven keyword:

import{_, KeywordCxt} from Ajvajv.addKeyword({  keyword:"even",  type:"number",  schemaType:"boolean",// $data: true // to support [$data reference](./guide/combining-schemas.md#data-reference), ...code(cxt: KeywordCxt){const{data, schema}= cxtconst op= schema? _`!==`: _`===`    cxt.fail(_`${data} %2${op} 0`)// ... the only code change needed is to use `cxt.fail$data` here},})const schema={even:true}const validate= ajv.compile(schema)console.log(validate(2))// trueconsole.log(validate(3))// false

Examplerange keyword:

import{_, nil, KeywordCxt} from Ajvajv.addKeyword({  keyword:"range",  type:"number",code(cxt: KeywordCxt){const{schema, parentSchema, data}= cxtconst[min, max]= schemaconst eq: Code= parentSchema.exclusiveRange? _`=`: nil    cxt.fail(_`${data} <${eq}${min} ||${data} >${eq}${max}`)},  metaSchema:{    type:"array",    items:[{type:"number"},{type:"number"}],    minItems:2,    additionalItems:false,},})

You can review pre-defined Ajv keywords invalidation(opens new window) folder for more advanced examples - it is much easier to define code generation keywords than it was in the previous version of Ajv.

SeeKeywordCxt(opens new window) andSchemaCxt(opens new window) type definitions for more information about properties you can use in your keywords.

# Define keyword with "validate" function

Usual keyword definition for validation keywords:

interfaceFuncKeywordDefinitionextends_KeywordDef{  validate?: SchemaValidateFunction| DataValidateFunction// DataValidateFunction requires `schema: false` option  schema?:boolean// schema: false makes validate not to expect schema (DataValidateFunction)  modifying?:boolean  async?:boolean  valid?:boolean  errors?:boolean|"full"}interfaceSchemaValidateFunction{(schema:any, data:any, parentSchema?: AnySchemaObject, dataCxt?: DataValidationCxt):|boolean|Promise<any>  errors?: Partial<ErrorObject>[]}interfaceDataValidateFunction{(this: Ajv|any, data:any, dataCxt?: DataValidationCxt):boolean|Promise<any>  errors?: Partial<ErrorObject>[]}

The function should return validation result as boolean. It can return an array of validation errors via.errors property of itself (otherwise a standard error will be used).

validate keywords are suitable for:

  • testing your keywords before converting them to compiled/code keywords
  • defining keywords that do not depend on the schema value (e.g., when the value is alwaystrue). In this case you can add optionschema: false to the keyword definition and the schemas won't be passed to the validation function, it will only receive the same parameters as compiled validation function.
  • defining keywords where the schema is a value used in some expression.
  • defining keywords that support$data reference - in this casevalidate orcode function is required, either as the only option or in addition tocompile ormacro.

Example:constant keyword (a synonym for draft-06 keywordconst, it is equivalent toenum keyword with one item):

ajv.addKeyword({keyword:"constant",validate:(schema, data)=>typeof schema=="object"&& schema!==null?deepEqual(schema, data): schema=== data,errors:false,})const schema={constant:2,}const validate= ajv.compile(schema)console.log(validate(2))// trueconsole.log(validate(3))// falseconst schema={constant:{foo:"bar"},}const validate= ajv.compile(schema)console.log(validate({foo:"bar"}))// trueconsole.log(validate({foo:"baz"}))// false

const keyword is already available in Ajv.

Keywords that do not define errors

If the keyword does not define errors (seeReporting errors) passerrors: false in its definition; it will make generated code more efficient.

To add asynchronous keyword passasync: true in its definition.

# Define keyword with "compile" function

The keyword is similar to "validate", with the difference that "compile" property has function that will be called during schema compilation and should return validation function:

interfaceFuncKeywordDefinitionextends_KeywordDef{  compile?:(schema:any, parentSchema: AnySchemaObject, it: SchemaObjCxt)=> DataValidateFunction  schema?:boolean// schema: false makes validate not to expect schema (DataValidateFunction)  modifying?:boolean  async?:boolean  valid?:boolean  errors?:boolean|"full"}

In some cases it is the best approach to define keywords, but it has the performance cost of an extra function call during validation. If keyword logic can be expressed via some other JSON Schema thenmacro keyword definition is more efficient (see below).

Example.range andexclusiveRange keywords using compiled schema:

ajv.addKeyword({keyword:"range",type:"number",compile([min, max], parentSchema){return parentSchema.exclusiveRange===true?(data)=> data> min&& data<max:(data)=> data>= min&& data<= max},errors:false,metaSchema:{// schema to validate keyword valuetype:"array",items:[{type:"number"},{type:"number"}],minItems:2,additionalItems:false,},})const schema={range:[2,4],exclusiveRange:true,}const validate= ajv.compile(schema)console.log(validate(2.01))// trueconsole.log(validate(3.99))// trueconsole.log(validate(2))// falseconsole.log(validate(4))// false

See note on errors and asynchronous keywords in the previous section.

# Define keyword with "macro" function

Keyword definition:

interfaceMacroKeywordDefinitionextendsFuncKeywordDefinition{macro:(schema:any, parentSchema: AnySchemaObject, it: SchemaCxt)=> AnySchema}

"Macro" function is called during schema compilation. It is passed schema, parent schema andschema compilation context and it should return another schema that will be applied to the data in addition to the original schema.

It is an efficient approach (in cases when the keyword logic can be expressed with another JSON Schema), because it is usually easy to implement and there is no extra function call during validation.

In addition to the errors from the expanded schema macro keyword will add its own error in case validation fails.

Example.range andexclusiveRange keywords from the previous example defined with macro:

ajv.addKeyword({keyword:"range",type:"number",macro:([minimum, maximum])=>({minimum, maximum}),// schema with keywords minimum and maximum// metaSchema: the same as in the example above})

Macro keywords can be recursive - i.e. return schemas containing the same keyword. See the example of defining a recursive macro keyworddeepProperties in thetest(opens new window).

# Schema compilation context

Schema compilation contextSchemaCxt(opens new window) is available in propertyit ofKeywordCxt(opens new window) (and it is also the 3rd parameter ofcompile andmacro keyword functions). See types in the source code on the properties you can use in this object.

# Validation time variables

All function scoped variables available during validation are defined innames(opens new window).

# Reporting errors

All keywords can define error messages withKeywordErrorDefinition object passed aserror property of keyword definition:

interfaceKeywordErrorDefinition{  message:string|((cxt: KeywordErrorCxt)=> Code)  params?:(cxt: KeywordErrorCxt)=> Code}

code keywords can pass parameters to these functions viacxt.setParams (see implementations of pre-defined keywords), other keywords can only set a string message this way.

Another approach for reporting errors can be used forvalidate andcompile keyword - they can define errors by assigning them to.errors property of the validation function. Asynchronous keywords can return promise that rejects withnew Ajv.ValidationError(errors), whereerrors is an array of validation errors (if you don't want to create errors in asynchronous keyword, its validation function can return the promise that resolves withfalse).

Each error object inerrors array should at least have propertieskeyword,message andparams, other properties will be added.

If keyword doesn't define or return errors, the default error will be created in case the keyword fails validation.

Standalone validation code Type coercion rules


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