I am using Jmeter for the first time and have response data as follows:
{"types":[{"type":"tag","probability":"0.94"},{"type":"word","probability":"0.03"},{"type":"search","probability":"0.01"},{"type":"model","probability":"0.0"},{"type":"express","probability":"0.0"},{"type":"serial","probability":"0.0"}],"suggestions":[{"model":"AXT","dist":0.4286},{"model":"XL","dist":0.4},{"model":"03H","dist":0.4},{"model":"03","dist":0.4},{"model":"1435","dist":0.375}]}
I am trying to validate with regex if the JSON has specific format that to have type and probability under types and model and dist under suggestions.
I used following but it does not validate
$.types[*].type
I don't think JSON Assertion is the good way to proceed, maybe it worth considering asking for a JSON Schema and validating the response using JSR223 Assertion and Groovy language?
If you don't have the schema you can generate it from your JSON using online tools like this one, it gives me something like:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"properties": {
"types": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
},
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
},
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
},
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
},
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
},
{
"type": "object",
"properties": {
"type": {
"type": "string"
},
"probability": {
"type": "string"
}
},
"required": [
"type",
"probability"
]
}
]
},
"suggestions": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"dist": {
"type": "number"
}
},
"required": [
"model",
"dist"
]
},
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"dist": {
"type": "number"
}
},
"required": [
"model",
"dist"
]
},
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"dist": {
"type": "number"
}
},
"required": [
"model",
"dist"
]
},
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"dist": {
"type": "number"
}
},
"required": [
"model",
"dist"
]
},
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"dist": {
"type": "number"
}
},
"required": [
"model",
"dist"
]
}
]
}
},
"required": [
"types",
"suggestions"
]
}
The above schema has been auto-generated from your JSON file, you might need to amend it according to your requirements.
So you can:
Save the schema to your hard drive next to the .jmx script
Add the following libraries to JMeter Classpath
commons-digester-1.8.1.jar
commons-validator-1.6.jar
everit-json-schema-1.14.0.jar
handy-uri-templates-2.1.8.jar
joda-time-2.10.2.jar
json-20201115.jar
re2j-1.3.jar
Add JSR223 Assertion as a child of the request which returns the above response
Put the following code into "Script" area
def schema = org.everit.json.schema.loader.SchemaLoader.load(new org.json.JSONObject(new File('schema.json')))
try {
schema.validate(new org.json.JSONObject(prev.getResponseDataAsString()))
}
catch (Exception ex) {
AssertionResult.setFailure(true)
AssertionResult.setFailureMessage(ex.getMessage())
}
If the response will not match schema - the assertion will fail the sampler.
More information:
Introduction to JSON Schema in Java
JSON Schema Validator
Related
Following is the jsonSchema.
{
"$schema": "http://json-schema.org/draft-07/schema#",
"type": "array",
"items": [
{
"type": "object",
"properties": {
"isMerchant": {
"type": "boolean"
},
"isAgent": {
"type": "boolean"
},
"cashLoan": {
"type": "boolean"
},
"personalDetail": {
"type": "string"
},
"contact": {
"type": "object",
"properties": {
"email": {
"type": "string"
},
"mobile": {
"type": "integer"
},
"area": {
"type": "string"
},
"state": {
"type": "string"
}
},
"required": ["state"]}
},
"required": ["isMerchant","cashLoan","contact"],
"allOf": [
{
"if": {
"properties": {
"isMerchant": {"enum": [true]}
}
},
"then": {
"required": [ "isAgent","email","mobile"]
}
},
{
"if": {
"properties": {
"cashLoan": {"enum": [true]}
}
},
"then": {
"required": ["personalDetail"]
}
}
]
}
]
}
Expectation is to validate the corresponding JSON data with this JSON schema. where conditions are as follows -
If 'isMerchant' = true then the params 'isAgent', 'email', 'mobile' should be present in the json file.
If 'cashLoan' = true then param 'personalDetail' should be present.
With draft 2020-12, the type of the items keyword can only be object or boolean.
You need to add a "requires": [...] to your if conditions, because the properties keyword will evaluate to true if the property is not present at all, therefore you are entering the then conditionals when you don't intend to.
I configured the json schema and it looked like this:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"organisationId": {
"type": "string"
},
"clientId": {
"type": "string"
},
"issuer": {
"oneOf": [
{
"type": "string"
},
{
"type": "null"
}
]
},
"createdDate": {
"type": "string",
"format": "date-time"
},
"lastModifiedDate": {
"type": "string",
"format": "date-time"
},
"consentId": {
"type": "string"
},
"internalStatus": {
"type": "string",
"enum": [
"AUTHORISED",
"AWAITING_AUTHORISATION",
"REJECTED",
"TIMEOUT_EXPIRED",
"OVERDUE",
"REVOKED"
]
},
"permissions": {
"type": "array",
"items": [
{
"type": "string"
}
]
},
"approverType": {
"type": "string",
"enum": [
"AND",
"OR"
]
},
"status": {
"type": "string",
"enum": [
"AUTHORISED",
"AWAITING_AUTHORISATION",
"REJECTED",
"REVOKED",
"CONSUMED"
]
},
"statusUpdateDateTime": {
"type": "string",
"format": "date-time"
},
"expirationDateTime": {
"type": "string",
"format": "date-time"
},
"resourceGroups": {
"uniqueItems": true,
"oneOf": [
{
"type": "array"
},
{
"type": "null"
}
],
"items": [
{
"type": "object",
"properties": {
"resourceGroupId": {
"type": "integer"
},
"permissions": {
"type": "array",
"items": [
{
"type": "string"
}
]
},
"resources": {
"type": "array",
"uniqueItems": true,
"items": [
{
"type": "object",
"properties": {
"status": {
"type": "string",
"enum": [
"AVAILABLE",
"UNAVAILABLE",
"TEMPORARY_UNAVAILABLE",
"PENDING_AUTHORISATION"
]
},
"additionalInfos": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"key": {
"type": "string"
},
"value": {
"type": "string"
}
}
}
]
},
"type": {
"type": "string",
"enum": [
"CUSTOMERS_PERSONAL_IDENTIFICATIONS",
"CUSTOMERS_PERSONAL_QUALIFICATION",
"CUSTOMERS_PERSONAL_ADITTIONALINFO",
"CUSTOMERS_BUSINESS_IDENTIFICATIONS",
"CUSTOMERS_BUSINESS_QUALIFICATION",
"CUSTOMERS_BUSINESS_ADITTIONALINFO",
"CAPITALIZATION_TITLES",
"PENSION",
"DAMAGES_AND_PEOPLE_PATRIMONIAL",
"DAMAGES_AND_PEOPLE_AERONAUTICAL",
"DAMAGES_AND_PEOPLE_NAUTICAL",
"DAMAGES_AND_PEOPLE_NUCLEAR",
"DAMAGES_AND_PEOPLE_OIL",
"DAMAGES_AND_PEOPLE_RESPONSABILITY",
"DAMAGES_AND_PEOPLE_TRANSPORT",
"DAMAGES_AND_PEOPLE_FINANCIAL_RISKS",
"DAMAGES_AND_PEOPLE_RURAL",
"DAMAGES_AND_PEOPLE_AUTO",
"DAMAGES_AND_PEOPLE_HOUSING",
"DAMAGES_AND_PEOPLE_PEOPLE",
"DAMAGES_AND_PEOPLE_ACCEPTANCE_AND_BRANCHES_ABROAD"
]
},
"hidden": {
"type": "boolean"
},
"resourceId": {
"type": "string"
}
}
}
]
},
"additionalInfos": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"key": {
"type": "string"
},
"value": {
"type": "string"
}
}
}
]
},
"type": {
"type": "string",
"enum": [
"ACCOUNT",
"CREDIT_CARD_ACCOUNT",
"LOAN",
"INVOICE_FINANCING",
"UNARRANGED_ACCOUNT_OVERDRAFT",
"FINANCING",
"RESOURCE",
"CUSTOMER"
]
}
},
"required": [
"permissions",
"type"
]
}
]
},
"approvers": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"status": {
"type": "string",
"enum": [
"AUTHORISED",
"AWAITING_AUTHORISATION",
"REJECTED",
"REVOKED",
"CONSUMED"
]
},
"approverId": {
"type": "string"
}
},
"required": [
"approverId"
]
}
]
},
"loggedUser": {
"type": "object",
"properties": {
"document": {
"type": "object",
"properties": {
"identification": {
"type": "string"
},
"rel": {
"type": "string"
}
},
"required": [
"identification",
"rel"
]
}
},
"required": [
"document"
]
},
"businessEntity": {
"type": "object",
"properties": {
"document": {
"type": "object",
"properties": {
"identification": {
"type": "string"
},
"rel": {
"type": "string"
}
},
"required": [
"identification",
"rel"
]
}
},
"required": [
"document"
]
}
},
"required": [
"organisationId",
"clientId",
"consentId",
"permissions",
"approverType",
"status",
"statusUpdateDateTime",
"expirationDateTime",
"loggedUser"
]
},
"links": {
"type": "object",
"properties": {
"self": {
"type": "string"
},
"first": {
"type": "string"
},
"prev": {
"type": "string"
},
"next": {
"type": "string"
},
"last": {
"type": "string"
}
},
"required": [
"self"
]
},
"meta": {
"type": "object",
"properties": {
"totalRecords": {
"type": "integer"
},
"totalPages": {
"type": "integer"
}
},
"required": [
"totalRecords",
"totalPages"
]
}
}
}
Note that the "resources" array is not required, it is not mandatory.
However... when I run my test and it returns an empty array in "resources":
"resourceGroupId":1,
"permissions":[
"CUSTOMERS_PERSONAL_QUALIFICATION_READ",
"CUSTOMERS_PERSONAL_IDENTIFICATIONS_READ"
],
"resources":[],
"type":"CUSTOMER"
}
I get the following message:
"#/data/resourceGroups/0/resources: failed schema #/properties/data/properties/resourceGroups/items/0/properties/resources: 1 item required; only 0 were supplied."
I don't understand how 1 item is required if the array is not required.
and still have( "uniqueItems": true
)
which in theory would accept a [] in the return, according to the Json schema documentation.
I've tried passing minItems=0 and many other things and nothing has worked.
This looks like a combination of a bug in the validator you are using and an incorrect usage of items. The good news is that when you use items correctly, the bug will probably not apply.
The items keyword has two forms: one that takes a single schema and the other that takes an array of schemas. The form must people need most of the time is the single schema form.
{
"type": "array",
"items": { "type": "string" }
}
This schemas asserts that every item in the array is a string.
{
"type": "array",
"items": [
{ "type": "string" },
{ "type": "number" }
]
}
This schema asserts that the first item in the array is a string and the second is a number. However, it should not require that those items are present or assert anything on the rest of the items in the array. So, the bug is that your validator seems to require those values when it shouldn't.
But, that bug shouldn't affect you because you I'm sure you really meant to use the single schema version of items that validates all the items in the array against the schema. Just remove the [ and ] and your schema should work as you expected.
As I am new to JSON schema creation, I have learnt the basics of JSON schema and now I am trying to create JSON schema for the below mentioned set of data,
{
"Result": [
{
"ResourceName": "Appointment",
"Sequence": "1",
"Data": {
"AppointmentID": "A1234",
"PatientName": "Test Patient",
"ClinicName": "Test Clinic"
}
},
{
"ResourceName": "EpisodeofCare",
"Sequence": "2",
"Data": {
"EpisodeID": "EP1234",
"LocationId": "L1234",
"AppointmentId": "A1234",
"TransactionStatus": "2",
"OPNumber": "OP523367"
}
},
{
"ResourceName": "Encounter",
"Sequence": "3",
"Data": {
"EncounterID": "E1234",
"PatientID": "P1234"
}
}
]
}
Can anybody please help me to create JSON schema for this kind of data set.
Thanks in advance for helping me out on this.
Below is the JSON schema i have drafted
{
"$schema": "http://json-schema.org/draft-07/schema#",
"definitions": {
"ResultType": {
"type": "object",
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string"
},
"Data": {
"type": "object",
"anyOf": [
{
"$ref": "#/definitions/Appointment"
},
{
"$ref": "#/definitions/EpisodeofCare"
},
{
"$ref": "#/definitions/Encounter"
}
]
}
}
},
"Appointment": {
"type": "object",
"properties": {
"AppointmentID": {
"type": "boolean"
},
"PatientName": {
"type": "string"
},
"ClinicName": {
"type": "string"
}
}
},
"EpisodeofCare": {
"type": "object",
"properties": {
"EpisodeID": {
"type": "string"
},
"LocationId": {
"type": "string"
},
"AppointmentId": {
"type": "string"
},
"TransactionStatus": {
"type": "string"
},
"OPNumber": {
"type": "string"
}
}
},
"Encounter": {
"type": "object",
"properties": {
"EncounterID": {
"type": "string"
},
"PatientID": {
"type": "string"
}
}
}
},
"type": "object",
"properties": {
"Result": {
"type": "array",
"$ref": "#/definitions/ResultType"
}
}
}
Throw it in a schema validator like this one.
You will see errors in your schemas definition and in validation.
First of all check that your schema is valid json (the validator might help):
[
{
{"$ref": "#/definitions/Appointment"} <- unnecessary and invalid braces
},
{
{"$ref": "#/definitions/EpisodeofCare"} <- unnecessary and invalid braces
},
{
{"$ref": "#/definitions/Encounter"} <- unnecessary and invalid braces
}
]
Within the Result property you want each item of the array. You should use the item property instead of ref. As taken from the specification:
The value of "items" MUST be either a valid JSON Schema or an array of valid JSON Schemas.
[...]
If "items" is a schema, validation succeeds if all elements in the array successfully validate against that schema.
Thus you should use
{
"type": "object",
"properties": {
"Result": {
"type": "array",
"items": {
"$ref": "#/definitions/ResultType"
}
}
}
}
Since the schema should be as specific as possible you should constraint the content of the ResourceName properties to the actual data layout.
Use the const property to define a constant value for the ResourceName for each type of Resource. Take for example the Appointment type, which would change to:
"Appointment": {
"type": "object",
"properties": {
"ResourceName": {
"const": "Appointment"
},
"Data": {
"type": "object",
"properties": {
"AppointmentID": {
"type": "string"
},
"PatientName": {
"type": "string"
},
"ClinicName": {
"type": "string"
}
}
}
}
I also changed the type of AppointmentID to string.
Then your ResultType needs to be adjusted. Before you used anyOf to validate the data, now you need it to validate the complete object while still maintaining the overall structure:
"ResultType": {
"allOf": [
{
"type": "object",
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string"
},
"Data": true
}
},
{
"anyOf": [
{
"$ref": "#/definitions/Appointment"
},
{
"$ref": "#/definitions/EpisodeofCare"
},
{
"$ref": "#/definitions/Encounter"
}
]
}
]
}
The allOf propertiy implies a and condition. The overall structure (the object) does not care what value ResourceName has or how Data is structured. The specific implementations (the anyOf part) take care of that.
Some final improvements. Use the required property to define the names of properties that must exist in your JSON file. Also add "additionalProperties": false to ensure that only the specified properties are used. And finally constraint your sequence values to be string representations of positive intergers by adding "pattern": "[1-9]\\d*".
Final result:
{
"$schema": "http://json-schema.org/draft-07/schema#",
"definitions": {
"ResultType": {
"allOf": [
{
"type": "object",
"required": [
"ResourceName",
"Sequence",
"Data"
],
"additionalProperties": false,
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string",
"pattern": "[1-9]\\d*"
},
"Data": true
}
},
{
"anyOf": [
{
"$ref": "#/definitions/Appointment"
},
{
"$ref": "#/definitions/EpisodeofCare"
},
{
"$ref": "#/definitions/Encounter"
}
]
}
]
},
"Appointment": {
"type": "object",
"properties": {
"ResourceName": {
"const": "Appointment"
},
"Data": {
"type": "object",
"required": [
"AppointmentID",
"PatientName",
"ClinicName"
],
"additionalProperties": false,
"properties": {
"AppointmentID": {
"type": "string"
},
"PatientName": {
"type": "string"
},
"ClinicName": {
"type": "string"
}
}
}
}
},
"EpisodeofCare": {
"type": "object",
"properties": {
"ResourceName": {
"const": "EpisodeofCare"
},
"Data": {
"type": "object",
"required": [
"EpisodeID",
"LocationId",
"AppointmentId",
"TransactionStatus",
"OPNumber"
],
"additionalProperties": false,
"properties": {
"EpisodeID": {
"type": "string"
},
"LocationId": {
"type": "string"
},
"AppointmentId": {
"type": "string"
},
"TransactionStatus": {
"type": "string"
},
"OPNumber": {
"type": "string"
}
}
}
}
},
"Encounter": {
"type": "object",
"properties": {
"ResourceName": {
"const": "Encounter"
},
"Data": {
"type": "object",
"required": [
"EncounterID",
"PatientID"
],
"additionalProperties": false,
"properties": {
"EncounterID": {
"type": "string"
},
"PatientID": {
"type": "string"
}
}
}
}
}
},
"type": "object",
"required": [
"Result"
],
"additionalProperties": false,
"properties": {
"Result": {
"type": "array",
"items": {
"$ref": "#/definitions/ResultType"
}
}
}
}
you can create json schema by online tools which generates json schema from the json
like: https://www.liquid-technologies.com/online-json-to-schema-converter , it also checks if json is valid or not.
Json Schema that you need:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"properties": {
"Result": {
"type": "array",
"items": [
{
"type": "object",
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string"
},
"Data": {
"type": "object",
"properties": {
"AppointmentID": {
"type": "string"
},
"PatientName": {
"type": "string"
},
"ClinicName": {
"type": "string"
}
},
"required": [
"AppointmentID",
"PatientName",
"ClinicName"
]
}
},
"required": [
"ResourceName",
"Sequence",
"Data"
]
},
{
"type": "object",
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string"
},
"Data": {
"type": "object",
"properties": {
"EpisodeID": {
"type": "string"
},
"LocationId": {
"type": "string"
},
"AppointmentId": {
"type": "string"
},
"TransactionStatus": {
"type": "string"
},
"OPNumber": {
"type": "string"
}
},
"required": [
"EpisodeID",
"LocationId",
"AppointmentId",
"TransactionStatus",
"OPNumber"
]
}
},
"required": [
"ResourceName",
"Sequence",
"Data"
]
},
{
"type": "object",
"properties": {
"ResourceName": {
"type": "string"
},
"Sequence": {
"type": "string"
},
"Data": {
"type": "object",
"properties": {
"EncounterID": {
"type": "string"
},
"PatientID": {
"type": "string"
}
},
"required": [
"EncounterID",
"PatientID"
]
}
},
"required": [
"ResourceName",
"Sequence",
"Data"
]
}
]
}
},
"required": [
"Result"
]
}
I have created a JSON schema to validate a simple JSON file. The good news is that it validates in the way that I intended, in that any number of booking elements can appear in any order, and no extra properties are allowed in each type of booking element.
Ideally I would like to remove the full list of possible properties in a bookingElement object (id, type, depair, destair, city) in the JSON schema, and just leave the oneOf lists, which show clearly which fields are allowed in each different type of element.
Can anyone provide a version of the schema without that full list that still applies the strict rules?
This is the JSON:
{
"bookingElements": [
{
"id" : "00003",
"type" : "flight",
"depair" : "LHR",
"destair" : "CDG"
},
{
"id" : "00008",
"type" : "hotel",
"city" : "Paris"
}
]
}
The schema is:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"additionalProperties": false,
"properties": {
"bookingElements": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"depair": {
"type": "string"
},
"destair": {
"type": "string"
},
"city": {
"type": "string"
}
},
"oneOf": [
{
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"depair": {
"type": "string"
},
"destair": {
"type": "string"
}
}
},
{
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"city": {
"type": "string"
}
}
}
]
}
}
},
"required": [
"bookingElements"
]
}
Ideally the JSON schema would look something closer to the following:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"type": "object",
"additionalProperties": false,
"properties": {
"bookingElements": {
"type": "array",
"items": {
"type": "object",
"additionalProperties": false,
"oneOf": [
{
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"depair": {
"type": "string"
},
"destair": {
"type": "string"
}
}
},
{
"type": "object",
"additionalProperties": false,
"properties": {
"id": {
"type": "string"
},
"type": {
"type": "string"
},
"city": {
"type": "string"
}
}
}
]
}
}
},
"required": [
"bookingElements"
]
}
I have already created my own schema on intellij environment, and it's working good, but still have problems in auto completion which provides intellij to the schema,
for example if object "car" defined in json schema then intellij can recognize that there's such object in the schema and intellij will give it as suggestion through out coding json, the problem that I'm facing is that the suggestions are contains all the objects that defined in the schema, but the expectations are to get the objects which defined under the scoop of another object
This is some code of my own schema:
{
"$schema": "http://json-schema.org/draft-04/schema#",
"title": "Pipe File",
"type": "object",
"definitions": {
"Pipe": {
"type": "object",
"properties": {
"components": {
"$ref": "#/definitions/components"
}
},
"required": [
"components"
]
},
"components": {
"description": "section which defines the pipes in the file",
"type": "array",
"minItems": 1,
"items": {
"oneOf": [
{
"$ref": "#/definitions/setValuesComponent"
},
{
"$ref": "#/definitions/invokeWebServicesComp"
}
]
}
},
"setValuesComponent": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"type": {
"enum": [
"setValuesComp"
]
},
"out": {
"type": "object",
"properties": {
"dateFormat": {
"$ref": "#/definitions/setValuesCompOut"
},
"dateTimeFormat": {
"$ref": "#/definitions/setValuesCompOut"
},
"dateFormatBank": {
"$ref": "#/definitions/setValuesCompOut"
}
}
},
"condition": {
}
},
"required": [
"name",
"type",
"out"
]
},
"setValuesCompOut": {
"type": "object",
"properties": {
"exprValue": {
"type": "string"
},
"ctxEntry": {
"type": "string"
},
"value": {
"type": "string"
},
"exprConst": {
"type": "string",
"pattern": "(Class|class)\\.\\w+\\.\\w+"
}
},
"anyOf": [
{
"required": [
"exprValue"
]
},
{
"required": [
"ctxEntry"
]
},
{
"required": [
"value"
]
},
{
"required": [
"exprConst"
]
}
]
},
"invokeWebServicesComp": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"type": {
"enum": [
"invokeWebServices"
]
},
"mode": {
"enum": [
"innerJoin",
"leftJoin",
"union",
"parallelJoin"
]
},
"method": {
"type": "string"
},
"headers": {
"$ref": "#/definitions/invokeWebServicesCompHeaders"
},
"dataFilePath": {
"type": "string"
},
"restRelativeUrl": {
"type": "string"
},
"in": {
"$ref": "#/definitions/invokeWebServicesCompIn"
},
"out": {
"$ref": "#/definitions/invokeWebServicesCompOut"
}
},
"required": [
"type",
"name",
"out",
"in"
]
},
"invokeWebServicesCompOut": {
"type": "object",
"patternProperties": {
"doc": {
"type": "string",
"pattern": ".+"
}
}
},
"invokeWebServicesCompHeaders": {
"type": "object",
"patternProperties": {
".{1,}": {
"type": "string",
"pattern": ".+"
}
}
},
"invokeWebServicesCompIn": {
"type": "object",
"patternProperties": {
".{1,}": {
"type": "string",
"pattern": ".+"
}
}
},
"properties": {
"pipes": {
"description": "section which defines the mandatory pipes object in the file",
"type": "object",
"patternProperties": {
".{1,}": {
"$ref": "#/definitions/Pipe"
}
}
}
},
"required": [
"pipes"
]
}
}
So what I expected is, when the type of object determined to "setValuesComp", the auto completion will suggest the relevant properties, that's mean it will not suggest "in" property which is belong to "invokeWebServicesComp" not "setValuesComponent".this picture show the auto complete problem in my real environment
Your JSON schema seems to be invalid. The below JSON content should be present inside object type.
"properties": {
"pipes": {
"description": "section which defines the mandatory pipes object in the file",
"type": "object",
"patternProperties": {
".{1,}": {
"$ref": "#/definitions/Pipe"
}
}
}
},
"required": [
"pipes"
]
In your schema, it is present as part of the "definitions". Please make this correction and then check if you are able to get the suggestions.