{
"policyHolder": {
"fullName": "A"
},
"traveller": [
{
"fullName": "B",
"relationship": "Spouse"
},
{
"fullName": "A",
"relationship": "My Self"
}
]
}
In above json, I want to validate that
if "relationship" = "My Self" then fullName must match the fullName in policyHolder
A field relationship must exist in traveller array, else json is invalid
I have tried to create a json schema with if-else, allOf, etc. but nothing works which can do these validations but not able to.
Please help!!
Schema:
{
"type": "object",
"required": [
"policyHolder",
"traveller",
],
"properties": {
"policyHolder": {
"$id": "#/properties/policyHolder",
"type": "object",
"required": [
"fullName"
],
"properties": {
"fullName": {
"$id": "#/properties/policyHolder/properties/fullName",
"type": "string",
}
}
},
"traveller": {
"$id": "#/properties/traveller",
"type": "array",
"minItems": 1,
"items": {
"$id": "#/properties/traveller/items",
"type": "object",
"properties": {
"fullName": {
"$ref": "#/properties/policyHolder/properties/fullName"
},
"relationship": {
"$id": "#/properties/traveller/items/properties/relationship",
"type": "string",
}
},
"required": [
"fullName",
"relationship"
],
}
}
}
}```
It's your first requirement that you're going to have the most trouble with. JSON Schema doesn't support validation of data against data elsewhere in the instance. It's a highly discussed topic, but nothing has been adopted yet. I suggest you verify this with a little code.
For the second, I would suggest you extract some of your subschemas into definitions rather than trying to muck about with IDs. IDs are typically more beneficial if you're referencing them from other documents or if you use short (like single-word) IDs. Defining the ID as its location in the document is redundant; most processors will handle this automatically.
{
"type": "object",
"required": [
"policyHolder",
"traveller",
],
"definitions": {
"person": {
"type": "object"
"properties": {
"fullName": {"type": "string"}
},
"required": ["fullName"]
},
"relationship": { "enum": [ ... ] } // list possible relationships
},
"properties": {
"policyHolder": { "$ref": "#/definitions/person" },
"traveller": {
"type": "array",
"minItems": 1,
"items": {
"allOf": [
{ "$ref": "#/definitions/person" },
{
"properties": {
"relationship": { "$ref": "#/definitions/relationship" }
},
"required": ["relationship"]
}
]
}
}
}
}
(I extracted the relationship into its own enum definition, but this is really optional. You can leave it inline, or even an unrestricted string if you don't have a defined set of relationships.)
This can't currently be done with JSON Schema. All JSON Schema keywords can only operate on one value at a time. There's a proposal for adding a $data keyword that would enable doing this kind of validation, but I don't think it's likely to be adopted. $data would work like $ref except it references the JSON being validated rather than referencing the schema.
Here's what how you would solve your problem with $data.
{
"type": "object",
"properties": {
"policyHolder": {
"type": "object",
"properties": {
"fullName": { "type": "string" }
}
},
"traveler": {
"type": "array",
"items": {
"type": "object",
"properties": {
"fullName": { "type": "string" },
"relationship": { "type": "string" }
},
"if": {
"properties": {
"relationship": { "const": "My Self" }
}
},
"then": {
"properties": {
"fullName": { "const": { "$data": "#/policyHolder/fullName" } }
}
}
}
}
}
}
Without $data, you will have to do this validation in code or change your data structure so that it isn't necessary.
Related
I want to write a single file JSON schema definition with several sub schemas that I can combine, depending on the payload.
The following schema validates, that my schema is working with my sample JSON response. (The response object has a wrong type for payload.role to make sure the schema catches this mistake!)
For clarity, I reduce it on the most important parts. A full working example can be found here: https://www.jsonschemavalidator.net/s/3KAaXjtg
Schema
{
"$schema": "http://json-schema.org/draft-07/schema",
"$id": "http://example.com/baseSchema.json",
"type": "object",
"required": [
"payload"
],
"properties": {
"payload": {
"$id": "#/properties/payload",
"type": "object",
// reference the right schema depending on the payload child key
// if `payload.user` reference `userSchema.json`
// if `payload.users` reference `usersSchema.json`
// if `payload.*` reference `*Schema.json`
"$ref": "userSchema.json"
}
},
"definitions": {
"user": {
"$id": "http://example.com/userSchema.json",
"type": "object",
"required": [
"user"
],
"properties": {
"user": {
"type": "object",
"$ref": "userProperties.json"
}
}
},
"users": {
"$id": "http://example.com/usersSchema.json",
"type": "object",
"required": [
"users"
],
"properties": {
"users": {
"type": "array",
"items": {
"$ref": "userProperties.json"
}
}
}
},
"userProperties": {
"$id": "http://example.com/userProperties.json",
"type": "object",
"properties": {
"firstName": {
"$id": "#/properties/payload/properties/user/properties/firstName",
"type": "string"
}
}
}
}
}
Response
{
"status": {
"code": 200,
"description": "User retrieved successfully."
},
"payload": {
"user": {
"firstName": "Joe",
"lastName": "Doe",
"role": "3", // for testing reasons, this is the wrong type!
"email": "doe#example.com",
"customerID": "",
"projects": [
"AIXG5mEg6QLl9rhVSE6m",
"Bs1bHiOIqKclwwis3CNf",
"NC2OUGVZXU35FA7iwRn4"
],
"status": "Status",
"id": "c555BSZnKLdHSRYqrU5hqiQo733j13"
}
}
}
So I've got a baseSchema.json that matches this response:
{
"status": {},
"payload": {}
}
payload gets extended by a certain key like payload.user = {} or payload.foo = {} and depending on that key, I want to extend schema with one of my definitions.
The following part only works for the key user:
"properties": {
"payload": {
"$id": "#/properties/payload",
"type": "object",
// reference the right schema depending on the payload child key
// if `payload.user` reference `userSchema.json`
// if `payload.users` reference `usersSchema.json`
// if `payload.*` reference `*Schema.json`
"$ref": "userSchema.json"
}
},
I failed to setup any conditions (with allOf, if, else), that would reference the correct sub-schema, based on the payload key.
Any hints and help to solve that is appreciated.
Schema and link to demo at the end... Let's look at how we got there...
In JSON Schema draft-07 and previous, you can't use $ref alongside other keywords. Other keywords are ignored. (In your schema http://example.com/userSchema.json you had type next to $ref). Fortunatly this didn't cause you any problems as you declare the type in the referenced schema. (You CAN do this with 2019-09 or above.)
The values for the keywords if, then, and else are schemas.
For the then subschema to be applied to your instance location, the if schema must come back as valid. If it fails, the else subschema value will be applied.
Our if condition checks for the presense of a specific key.
If the key exists, THEN apply the schema which references the correct schema.
Because you want the conditions to be mutually exclusive, you need to wrap the multiple conditions in a oneOf, and add else: false to the conditional checks. false as a schema makes validation fail.
Let me know if you want any further clarification on any of the above.
Demo: https://jsonschema.dev/s/HLniL
{
"$schema": "http://json-schema.org/draft-07/schema",
"$id": "http://example.com/baseSchema.json",
"type": "object",
"required": [
"payload"
],
"properties": {
"payload": {
"$id": "#/properties/payload",
"type": "object",
"oneOf": [
{
"if": {
"required": [
"user"
]
},
"then": {
"$ref": "userSchema.json"
},
"else": false
},
{
"if": {
"required": [
"users"
]
},
"then": {
"$ref": "usersSchema.json"
},
"else": false
}
]
}
},
"definitions": {
"user": {
"$id": "http://example.com/userSchema.json",
"type": "object",
"required": [
"user"
],
"properties": {
"user": {
"$ref": "userProperties.json"
}
}
},
"users": {
"$id": "http://example.com/usersSchema.json",
"type": "object",
"required": [
"users"
],
"properties": {
"users": {
"type": "array",
"items": {
"$ref": "userProperties.json"
}
}
}
},
"userProperties": {
"$id": "http://example.com/userProperties.json",
"type": "object",
"properties": {
"firstName": {
"type": "string"
}
}
}
}
}
So my json structure is aspect oriented, meaning that the json is structure in a way that each data is represented by a key and that key will define the structure of its content.
for example:
[
{
"nv": [{ "ln": 123 }]
},
{
"metadata": [{ "name": "nodes" }, { "name": "edges" }]
},
{
"nodes": [{ "#id": 1 }, { "#id": 2 }]
},
{
"edges": [
{ "#id": 1, "nodeId": 1 },
{ "#id": 2, "nodeId": 2 }
]
},
{
"status": [{ "success": true }]
}
]
As shown 3 objects (nv, metadata, status) and based on the name inside of the metadata there will be objects inside the json file.
I tried something like this:
{
"type": "array",
"items": [
{
"type": "object",
"properties": {
"nv": { "type": "array", "items": { "$ref": "#definitions/nv" } }
},
"required": ["nv"]
},
{
"type": "object",
"properties": {
"metaData": {
"type": "array",
"items": { "$ref": "#definitions/metadata" }
}
},
"required": ["metaData"]
},
{
"anyOf": [
{
"type": "object",
"properties": {
"nodes": {
"type": "array",
"items": { "$ref": "#definitions/nodes" }
}
}
},
{
"type": "object",
"properties": {
"edges": {
"type": "array",
"items": { "$ref": "#definitions/edges" }
}
}
},
{
"type": "object",
"properties": {
"edgeAttribute": {
"type": "array",
"items": { "$ref": "#definitions/edgeAttribute" }
}
}
},
{
"type": "object",
"properties": {
"nodeAttribute": {
"type": "array",
"items": { "$ref": "#definitions/nodeAttribute" }
}
}
}
]
},
{
"type": "object",
"properties": {
"status": {
"type": "array",
"items": { "$ref": "#definitions/status" }
}
},
"required": ["status"]
}
],
"definitions": {
"status": {
"type": "object",
"properties": {
"success": { "type": "boolean" }
}
"etc..."
}
}
}
but then if I define an empty array it will be accepted, also it is being accepted if the array only contains one of the 3 required objects.
So is there a way to validate against something like the example using json-schemas?
The real scenario may have more than just 2 objects inside of the metadata that's why I did not use if -> then -> else conditions. if the solution is by using them then please let me know.
The structure of the data makes this a rough one, but there are a few patterns you can use to get the behavior you want. Let's take them one at a time.
Declare an array that can contain any of a number of objects
Generally people use oneOf for this, but I don't recommend that because it can have poor performance and incomprehensible error messages. Usually that means if/then, but in this case you can get good results by defining your items as a single object that only allows one property at a time in each object.
{
"items": {
"type": "object",
"properties": {
"nv": { "$ref": "#/definitions/nv" },
"metadata": { "$ref": "#/definitions/metadata" },
"status": { "$ref": "#/definitions/status" },
"nodes": { "$ref": "#/definitions/nodes" },
"edges": { "$ref": "#/definitions/edges" }
},
"minProperties": 1,
"maxProperties": 1
}
}
Edit: Previously, I recommended dependencies, but then realized that this is better.
Assert that the array contains a required object
To do this, you need to assert that the array contains an object that has a required property.
{ "contains": { "type": "object", "required": ["nv"] } }
You'll have to combine this pattern in allOf to express additional required items.
{
"allOf": [
{ "contains": { "type": "object", "required": ["nv"] } },
{ "contains": { "type": "object", "required": ["metadata"] } },
{ "contains": { "type": "object", "required": ["status"] } }
]
}
Conditionally assert that the array contains a required object
The tricky part here is getting all the nested contains and properties in the if to be able to assert that the "name" is a certain value. The then just uses the same pattern we used above to assert than an object is required in the array.
{
"if": {
"type": "array",
"contains": {
"type": "object",
"properties": {
"metadata": {
"type": "array",
"contains": {
"type": "object",
"properties": {
"name": { "const": "nodes" }
},
"required": ["name"]
}
}
},
"required": ["metadata"]
}
},
"then": { "contains": { "type": "object", "required": ["nodes"] } }
}
The above example shows the "nodes" object being conditionally required. You'll need to repeat this pattern for the "edges" object and combine them with allOf. I suggest making use of definitions to help make this readable.
{
"allOf": [
{ "$ref": "#/definitions/if-metadata-has-nodes-then-require-nodes-object" },
{ "$ref": "#/definitions/if-metadata-has-edges-then-require-edges-object" }
]
}
I would suggest moving each of your "types" into a $defs to be referenced.
{
"$defs": {
"nvObj": {
"type": "object",
"properties": {
"nv": { "type": "array", "items": { "$ref": "#/$defs/nv" } }
},
"required": ["nv"]
},
... // other defitions
}
}
(I've updated the $ref to use $defs instead of definitions as this is the new keyword since draft 7.)
Then you can put many references into a oneOf.
{
"$defs": {
... // from above
},
"type": "array",
"items": {
"oneOf": [
{ "$ref": "#/$defs/nvObj" },
... // all of the other object definitions
]
}
}
You're right to avoid if/then/else for this case. oneOf is the best bet here.
I have JSON data of which is an array of data like
[
{
"type": "background_color",
"data": {
"backgroundColor": "F9192D"
}
},
{
"type": "banner_images",
"data": {
"images": [
{
"url": "https://example.com/abc.jpg",
"id": 3085
},
{
"url": "https://example.com/zyx.jpg",
"id": 3086
}
]
}
},
{
"type": "description_box",
"data": {
"text": "Hello 56787"
}
}
]
The data is an array of object which has two keys type and data. The type and keys of the data will be defined by the type of data it has.
Like for background_color type, the data should have backgroundColor property, while for banner_images, data should have images which is an array of other properties.
Till now, What I have done is
{
"definitions": {},
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "array",
"title": "category schema",
"description": "Used to validate data of category",
"examples": [],
"required": [],
"items": {
"type": "object",
"required": [
"type",
"data"
],
"properties": {
"type": {
"type": "string",
"enum": ["background_color", "banner_images", "description_box"]
},
"data": {
"type": "object" // How to define data property here for each use case
}
}
}
}
I'm not getting how to define the data property for each use case?
You can use if/then/else blocks to define conditional constraints.
The values of if and then are schemas. If the if schema is valid, then the then schema is applied, otherwise, the allOf subschema (allOf[0] in this example) would pass validation.
There are a few different ways to do this, but this is clean when you don't have any additional or special requirements. Please come back if you do =]
In this example, I've added banner_images...
You can test it working here.
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "array",
"title": "category schema",
"description": "Used to validate data of category",
"items": {
"type": "object",
"required": [
"type",
"data"
],
"properties": {
"type": {
"type": "string",
"enum": [
"background_color",
"banner_images",
"description_box"
]
},
"data": {
"type": "object"
}
},
"allOf": [
{
"if": {
"properties": {
"type": {
"const": "banner_images"
}
}
},
"then": {
"properties": {
"data": {
"required": [
"images"
],
"properties": {
"images": {
"type": "array"
}
}
}
}
}
}
]
}
}
For reference, here's the part of the JSON Schema draft-7 spec document that details the behaviour: https://datatracker.ietf.org/doc/html/draft-handrews-json-schema-validation-01#section-6.6
I'm creating some models in AWS API Gateway. I'm having problems with one that I wish it receives 2 input formats: one of the formats is just a dictionary the other is an array of dictionaries:
{
"id":"",
"name":""
}
and
[
{
"id":"",
"Family":""
},
{
"id":"",
"Family":""
},
...
{
"id":"",
"Family":""
}
]
Until now I've created the model to accept only the dictionary way:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Update",
"type": "object",
"properties": {
"id": { "type": "string"},
"name": { "type": "string"}
},
"required": ["id"]
}
Can you give me some tips to create the array of dictionaries, please. I've done some research and I found nothing but I'm following the way of the keywords oneOf and anyOf but I'm not sure.
You're on the right track with anyOf. What you should do depends on the similarity between the object (dictionary) that's by itself and the object that's in the array. They look different in your example, so I'll answer in kind, then show how to simplify things if they are in fact the same.
To use anyOf, you want to capture the keywords that define your dictionary
{
"type": "object",
"properties": {
"id": { "type": "string"},
"name": { "type": "string"}
},
"required": ["id"]
}
and wrap that inside an anyOf right at the root level of the schema
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Update",
"anyOf": [
{
"type": "object",
"properties": {
"id": { "type": "string"},
"name": { "type": "string"}
},
"required": ["id"]
}
]
}
To write a schema for an array of the same kind object, you need the items keyword.
{
"type": "array",
"items": {
"type": "object",
"properties": {
"id": { "type": "string"},
"Family": { "type": "string"}
},
"required": ["id"]
}
}
Add this in as a second element in the anyOf array, and you're golden.
If your lone object can have the same schema as your array-element object, then you can write that schema once as a definition and reference it in both places.
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Update",
"definitions": {
"myObject": {
"type": "object",
"properties": {
"id": { "type": "string"},
"name": { "type": "string"}
},
"required": ["id"]
}
},
"anyOf": [
{ "$ref": "#/definitions/myObject" },
{
"type": "array",
"items": { "$ref": "#/definitions/myObject" }
}
]
}
The rest service response I am working with is similar to following example, I have only included 3 fields here but there are many more:
{
"results": [
{
"type": "Person",
"name": "Mr Bean",
"dateOfBirth": "14 Dec 1981"
},
{
"type": "Company",
"name": "Pi",
"tradingName": "Pi Engineering Limited"
}
]
}
I want to write a JSON schema file for above (draft-04) which will explicitly specify that:
if type == Person then list of required properties is ["type", "name", "dateOfBirth", etc]
OR
if type == "Company" then list of required properties is ["type", "name", "tradingName", etc]
However am unable to find any documentation or example of how to do it.
Currently my JSON schema looks like following:
{
"$schema": "http://json-schema.org/draft-04/schema",
"type": "object",
"required": ["results" ],
"properties": {
"results": {
"type": "array",
"items": {
"type": "object",
"required": ["type", "name"],
"properties": {
"type": { "type": "string" },
"name": { "type": "string" },
"dateOfBirth": { "type": "string" },
"tradingName": { "type": "string" }
}
}
}
}
}
Any pointers/examples of how I should handle this.
I think the recommended approach is the one shown in Json-Schema web, Example2. You need to use an enum to select schemas "by value". In your case it would be something like:
{
"type": "object",
"required": [ "results" ],
"properties": {
"results": {
"type": "array",
"items": {
"oneOf": [
{ "$ref": "#/definitions/person" },
{ "$ref": "#/definitions/company" }
]
}
}
},
"definitions": {
"person": {
"properties": {
"type": { "enum": [ "person" ] },
"name": {"type": "string" },
"dateOfBirth": {"type":"string"}
},
"required": [ "type", "name", "dateOfBirth" ],
"additionalProperties": false
},
"company": {
"properties": {
"type": { "enum": [ "company" ] },
. . .
}
}
}
}
Sorry,
I don't get the point. The question is about the 'dependencies' keyword which is part of the last JSON Schema specification, right?
I do not find 'dependencies' in the accepted answer (?)
It is briefly explained in the last draft.
But http://usingjsonschema.com explained both property and definition dependencies in the book:
http://usingjsonschema.com/assets/UsingJsonSchema_20140814.pdf
start at page 29 (see, explained at page 30)
"dependencies": {
"shipTo":["shipAddress"],
"loyaltyId":["loyaltyBonus"]
}