I am verifying below JSON schema for two separate JSON response which are same but only one difference is one returns 'system' as a string in format of uri and other returns plain string which cause failing of my second test case because for the second response it also look for a string in uri format.
How can i solve this issue in my schema?
{
"id": "/coding",
"type": "array",
"items": {
"type": "object",
"properties": {
"system": {
"type": "string"
"format": "uri"
}
}
}
}
You could just remove "format": "uri" from your schema.
Related
Normally, when validate a complicated json object, if an embedded field is required but the parent which is also required is missing, a validator only give the result saying the parent is required.
Wondering if there is a way (an implementation of json schema validator) to find all the mandatory fields (in the leaves of a json object) by applying a json schema validation?
Using https://www.jsonschemavalidator.net/
With schema
{
"type": "object",
"required": [
"name"
],
"properties": {
"name": {
"type": "object",
"required": [
"firstName",
"secondName"
],
"properties": {
"firstName": {
"type": "string"
},
"secondName": {
"type": "string"
}
}
}
}
}
To validate an empty json object {}.
Can only get one error Message:
Required properties are missing from object: name.
Schema path: #/required
Can a validator give all the required fields including first and second names back in the error message?
Using MarkLogic version 10.0-4.2, I am trying to validate a simple JSON record against a simple JSON schema.
JSON Schema:
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "object",
"properties": {
"SourceSystemName": {
"type": "string"
},
"BatchDtTm": {
"type": "string"
},
"SubjectArea": {
"type": "string"
},
"DocumentType": {
"type": "string"
},
"LastUpdatedDt": {
"type": "string"
},
"required": [
"SourceSystemName",
"BatchDtTm",
"SubjectArea",
"DocumentType",
"LastUpdatedDt",
]
}
}
Code being run in Query Console:
let jsonRecord = {"SourceSystemName":"ODH","BatchDtTm":"09/17/21 08:51:48:472723","SubjectArea":"Customer","DocumentType":"Preference","LastUpdatedDt":"09/17/21 03:59:53:629707"};
xdmp.jsonValidate(jsonRecord, cts.doc('/schemas/NewSchema.json').toString());
When I run the above code, I get error
XDMP-JSVALIDATEBADSCHEMA: Invalid schema "": ""
I'm not really sure what is 'invalid' about my schema. Can someone offer some insight into what MarkLogic is viewing as 'invalid'?
The second parameter for $schema is supposed to be the URI of the schema document.
$schema URI of the JSON schema to use for validation.
You are attempting to pass in the stringified content.
Try:
xdmp.jsonValidate(jsonRecord, '/schemas/NewSchema.json');
And ensure that the schema document is inserted into the Schemas database, not the content database.
I'm using the play-json-schema-validator and want to set up an integration test with scala in order to check an API's JSON response schema.
Certain fields of the response are nullable and I want to validate for that. So some field can be either a string or null yet it can never be a number.
Playing around on its playground I want to validate for an array of objects that each object's name property is either a string or null.
I came up with this schema:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Product set",
"type": "array",
"items": {
"title": "Product",
"type": "object",
"properties": {
"name": {
"type": ["string", null]
}
}
}
}
Yet though it validates the string and null case, I now get a false positive for numbers. I was expecting an error for this json, yet it validates:
[
{
"name": "Red anger"
},
{
"name": null
},
{
"name": 13
}
]
How to declare a field of a type as nullable using schema validator?
Enquote the null in the schema:
"type": ["string", "null"]
You can read about that in the json schema validation documentation, i.e.:
6.1. Validation Keywords for Any Instance Type
6.1.1. type
The value of this keyword MUST be either a string or an array. If it is an array, elements of the array MUST be strings and
MUST be unique.
String values MUST be one of the six primitive types ("null",
"boolean", "object", "array", "number", or "string"), or "integer"
which matches any number with a zero fractional part.
An instance validates if and only if the instance is in any of the
sets listed for this keyword.
The type attribute of the schema does not accept arrays but only a single type at the time:
"string", "null"... and as you pointed out, the types should be strings so instead of null => "null"
If you want to check multiple types for a single field you need to use
anyOf, oneOf, allOf
Here is an example working with your input
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Product set",
"type": "array",
"items": {
"title": "Product",
"type": "object",
"properties": {
"name": {
"anyOf": [
{"type":"string"},
{"type":"null"},
{"type":"number"}
]
}
}
}
}
I'm trying to create a JSON schema for an existing JSON file that looks something like this:
{
"variable": {
"name": "age",
"type": "integer"
}
}
In the schema, I want to ensure the type property has the value string or integer:
{
"variable": {
"name": "string",
"type": {
"type": "string",
"enum": ["string", "integer"]
}
}
}
Unfortunately it blows up with message: ValidationError {is not any of [subschema 0]....
I've read that there are "no reserved words" in JSON schema, so I assume a type of type is valid, assuming I declare it correctly?
The accepted answer from jruizaranguren doesn't actually answer the question.
The problem is that given JSON (not JSON schema, JSON data) that has a field named "type", it's hard to write a JSON schema that doesn't choke.
Imagine that you have an existing JSON data feed (data, not schema) that contains:
"ids": [ { "type": "SSN", "value": "123-45-6789" },
{ "type": "pay", "value": "8675309" } ]
What I've found in trying to work through the same problem is that instead of putting
"properties": {
"type": { <======= validation chokes on this
"type": "string"
}
you can put
"patternProperties": {
"^type$": {
"type": "string"
}
but I'm still working through how to mark it as a required field. It may not be possible.
I think, based on looking at the "schema" in the original question, that JSON schemas have evolved quite a lot since then - but this is still a problem. There may be a better solution.
According to the specification, in the Valid typessection for type:
The value of this keyword MUST be either a string or an array. If it is an array, elements of the array MUST be strings and MUST be unique.
String values MUST be one of the seven primitive types defined by the core specification.
Later, in Conditions for successful validation:
An instance matches successfully if its primitive type is one of the types defined by keyword. Recall: "number" includes "integer".
In your case:
{
"variable": {
"name": "string",
"type": ["string", "integer"]
}
}
I need a help regarding schema extraction by property.
For example i have a JSON schema:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"description": "A simple address format",
"type": "object",
"properties": {
"street-name": { "type": "string" },
"locality":{ "type": "string" },
"region": { "type": "string" },
"postal-code": { "type": "int" },
"country-name": { "type": "string"}
},
"required": ["locality", "region", "country-name"]
}
I have an use case, where i need to extract the schema corresponding to each property and send to another service, where it will do validation against the value and save in database. Here is the sample object i need to send to another service.
{
"propertyName": "street-name",
"value": "19, Canton street",
**"schema": { "type": "string" }**
}
The questions is,
how we extract the schema for a particular property from a give JSON schema??
Given the property path, Is there any nodejs module exists to do this schema extraction? or if there is any other solutions exists ?
Because this is very simple scenario, but if we have array, anyOf, OneOf type its getting complicated;
Thanks in advance ! Please let me know if the question is not clear !
sadish