无法使用tv4验证完整的JSON架构



此处的新手总数。

我不知道是否有人能帮我,因为我不知所措!我试图断言来自GET API调用的响应符合这个怪物模式集-使用console.log((,看起来每个属性都被成功访问,如果我更改对象类型,测试将如我所预期的那样失败。

处理模式-如果我尝试更改数据数组中的一个属性,即从字符串更改为布尔值,测试仍然会通过,尽管它不符合我定义的所需模式,

非常感谢任何指导!

//Test the schema is valid
const schema = {
"type": "object",
"properties": {
"current_page": {
"type": "integer"
},
"data": {
"type": "array",
"properties": {
"id": {
"type": "integer"
},
"first_name": {
"type": "string"
},
"last_name": {
"type": "string"
},
"telephone": {
"type": "string"
},
"postcode": {
"type": "string"
},
"date_of_birth": {
"type": "string"
},
"profession": {
"type": "string"
},
"time_served": {
"type": "integer"
},
"national_insurance_number": {
"type": "string"
},
"employer": {
"type": "string"
},
"lco_id": {
"type": "integer"
},
"company_employed": {
"type": "null"
},
"company_employed_email": {
"type": "null"
},
"company_employed_telephone": {
"type": "string"
},
"company_employed_address": {
"type": "null"
},
"apprentice": {
"type": "boolean"
},
"apprentice_trade": {
"type": "string"
},
"apprentice_course": {
"type": "string"
},
"apprentice_started_at": {
"type": "string"
},
"apprentice_ended_at": {
"type": "string"
},
"work_experience": {
"type": "boolean"
},
"work_experience_trade": {
"type": "null"
},
"work_experience_education": {
"type": "null"
},
"work_experience_started_at": {
"type": "null"
},
"work_experience_ended_at": {
"type": "null"
},
"nvq": {
"type": "boolean"
},
"nvq_trade": {
"type": "string"
},
"nvq_education": {
"type": "string"
},
"nvq_started_at": {
"type": "string"
},
"nvq_ended_at": {
"type": "string"
},
"unemployed": {
"type": "boolean"
},
"unemployed_months": {
"type": "null"
},
"company_employed_postcode": {
"type": "string"
},
"partner_relationship": {
"type": "null"
},
"self_partner_relationship": {
"type": "null"
},
"emergency_contact_first_name": {
"type": "string"
},
"emergency_contact_last_name": {
"type": "string"
},
"emergency_contact_telephone": {
"type": "string"
},
"enrollment_id": {
"type": "integer"
},
"created_at": {
"type": "string"
},
"updated_at": {
"type": "string"
},
"mode_of_travel": {
"type": "string"
},
"driver_or_passenger": {
"type": "string"
},
"fuel_type": {
"type": "string"
},
"engine_capacity": {
"type": "string"
},
"rtw_declaration": {
"type": "boolean"
},
"rtw_proof1_upload_id": {
"type": "null"
},
"rtw_proof2_upload_id": {
"type": "null"
},
"card_type": {
"type": "string"
},
"gender": {
"type": "string"
},
"self_gender": {
"type": "null"
},
"marital_status": {
"type": "string"
},
"disability_act": {
"type": "string"
},
"disability_description": {
"type": "null"
},
"ethnic_origin": {
"type": "string"
},
"religion": {
"type": "string"
},
"nationality": {
"type": "string"
},
"sexual_orient": {
"type": "string"
},
"checked_membership": {
"type": "integer"
},
"training_checked": {
"type": "integer"
},
"enrollment": {
"type": "object",
"properties": {
"id": {
"type": "integer"
},
"inducted": {
"type": "boolean"
},
"user_id": {
"type": "integer"
},
"created_at": {
"type": "string"
},
"updated_at": {
"type": "string"
},
"expiry_date": {
"type": "string"
},
"user": {
"type": "object",
"properties": {
"id": {
"type": "integer"
},
"email": {
"type": "string"
},
"role": {
"type": "integer"
},
"created_at": {
"type": "string"
},
"updated_at": {
"type": "string"
},
"state": {
"type": "integer"
},
"last_login_at": {
"type": "null"
}
},
"required": [
"id",
"email",
"role",
"created_at",
"updated_at",
"state",
"last_login_at"
]
}
},
"required": [
"id",
"inducted",
"user_id",
"created_at",
"updated_at",
"expiry_date",
"user"
]
}
},
"required": [
"id",
"first_name",
"last_name",
"telephone",
"postcode",
"date_of_birth",
"profession",
"time_served",
"national_insurance_number",
"employer",
"lco_id",
"company_employed",
"company_employed_email",
"company_employed_telephone",
"company_employed_address",
"apprentice",
"apprentice_trade",
"apprentice_course",
"apprentice_started_at",
"apprentice_ended_at",
"work_experience",
"work_experience_trade",
"work_experience_education",
"work_experience_started_at",
"work_experience_ended_at",
"nvq",
"nvq_trade",
"nvq_education",
"nvq_started_at",
"nvq_ended_at",
"unemployed",
"unemployed_months",
"company_employed_postcode",
"partner_relationship",
"self_partner_relationship",
"emergency_contact_first_name",
"emergency_contact_last_name",
"emergency_contact_telephone",
"enrollment_id",
"created_at",
"updated_at",
"mode_of_travel",
"driver_or_passenger",
"fuel_type",
"engine_capacity",
"rtw_declaration",
"rtw_proof1_upload_id",
"rtw_proof2_upload_id",
"card_type",
"gender",
"self_gender",
"marital_status",
"disability_act",
"disability_description",
"ethnic_origin",
"religion",
"nationality",
"sexual_orient",
"checked_membership",
"training_checked",
"enrollment",
]
},
}
}
// Use tiny validator to validate the results - Error if there are additional properties, and check recursion.
pm.test("Validate schema contains the relevant details", () => {
tv4.validateMultiple(jsonData, schema, true, true);
var jsonData = JSON.parse(responseBody);
// Log all errors to the console 
var validationResult = tv4.validateMultiple(jsonData, schema, true, true);
for (var i = 0; i < validationResult.errors.length; i++) {
console.log("path :" + validationResult.errors[i].dataPath + " message :" + validationResult.errors[i].message);
}
});

const schema = {
"type": "object",
"properties": {
"current_page": {
"type": "boolean"
}
}
}

pm.test("Validate schema contains the relevant details", () => {
var jsonData = { "current_page": 2 }
// Log all errors to the console 
var validationResult = tv4.validateMultiple(jsonData, schema, true, true);
validationResult.valid ? null : console.log(JSON.stringify(validationResult, null, 2))
pm.expect(validationResult.valid, JSON.stringify(validationResult, null, 2)).to.be.true

});

你不必期望断言它,这就是为什么它总是通过的原因,正如Danny提到的那样,使用

const schema = {
"type": "object",
"properties": {
"current_page": {
"type": "boolean"
}
}
}

pm.test("Validate schema contains the relevant details", () => {
var jsonData = { "current_page": 2 }
pm.response.to.have.jsonSchema(schema)
});

对于数组,您应该使用项而不是属性:

const schema = {
"type": "object",
"properties": {
"data": {
"type": "array",
"items": {
"properties": {
"id": {
"type": "integer"
},
"name": {
"type": "string"
}
},
"required":["id","name"]
}
}
}
}
pm.test("Validate schema contains the relevant details", () => {
var jsonData = { "data": [{ "id": 2,"name":"test" }] }
// Log all errors to the console 
var validationResult = tv4.validateMultiple(jsonData, schema, true, true);
validationResult.valid ? null : console.log(JSON.stringify(validationResult, null, 2))
pm.expect(validationResult.valid, JSON.stringify(validationResult, null, 2)).to.be.true

});

您可以使用轻松创建模式

https://www.jsonschema.net/login

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