postman断言

2019/07/23 11:15
阅读数 15

较旧的写作邮差测试风格

较旧的Postman测试编写风格依赖于特殊tests对象的设置值您可以为对象中的元素设置描述性键,然后说明它是真还是假。例如,tests["Body contains user_id"] = responsebody.has("user_id");将检查响应主体是否包含user_id字符串。

您可以根据需要添加任意数量的密钥,具体取决于您要测试的内容。您可以在“ 测试”选项卡下的响应查看器中查看测试结果选项卡标题显示传递了多少测试,并在此处列出了您在tests变量中设置的键。如果值的计算结果为true,则测试通过。

设置环境变量

postman.setEnvironmentVariable("key", "value");

将嵌套对象设置为环境变量

var array = [1, 2, 3, 4]; postman.setEnvironmentVariable("array", JSON.stringify(array, null, 2)); var obj = { a: [1, 2, 3, 4], b: { c: 'val' } }; postman.setEnvironmentVariable("obj", JSON.stringify(obj));

获取环境变量

postman.getEnvironmentVariable("key");

获取环境变量(其值是字符串化对象)

// These statements should be wrapped in a try-catch block if the data is coming from an unknown source.

var array = JSON.parse(postman.getEnvironmentVariable("array")); var obj = JSON.parse(postman.getEnvironmentVariable("obj"));

清除环境变量

postman.clearEnvironmentVariable("key");

设置全局变量

postman.setGlobalVariable("key", "value");

获取全局变量

postman.getGlobalVariable("key"); 

清除全局变量

postman.clearGlobalVariable("key");

检查响应主体是否包含字符串

tests["Body matches string"] = responseBody.has("string_you_want_to_search");

将XML主体转换为JSON对象

var jsonObject = xml2Json(responseBody);

检查响应主体是否等于字符串

tests["Body is correct"] = responseBody === "response_body_string";

检查JSON值

var data = JSON.parse(responseBody); tests["Your test name"] = data.value === 100;

存在Content-Type(不区分大小写的检查)

tests["Content-Type is present"] = postman.getResponseHeader("Content-Type"); //Note: the getResponseHeader() method returns the header value, if it exists.

内容类型存在(区分大小写)

tests["Content-Type is present"] = responseHeaders.hasOwnProperty("Content-Type");

响应时间小于200毫秒

tests["Response time is less than 200ms"] = responseTime < 200;

响应时间在特定范围内(包含下限,上限不包括)

tests["Response time is acceptable"] = _.inRange(responseTime, 100, 1001); // _ is the inbuilt Lodash v3.10.1 object, documented at https://lodash.com/docs/3.10.1

状态代码是200

tests["Status code is 200"] = responseCode.code === 200;

代码名称包含一个字符串

tests["Status code name has string"] = responseCode.name.has("Created");

成功的POST请求状态代码

tests["Successful POST request"] = responseCode.code === 201 || responseCode.code === 202;

使用TinyValidator获取JSON数据

var schema = {
 "items": { "type": "boolean" } }; var data1 = [true, false]; var data2 = [true, 123]; tests["Valid Data1"] = tv4.validate(data1, schema); tests["Valid Data2"] = tv4.validate(data2, schema); console.log("Validation failed: ", tv4.error);

解码base64编码数据

var intermediate,
	base64Content, // assume this has a base64 encoded value
	rawContent = base64Content.slice('data:application/octet-stream;base64,'.length); intermediate = CryptoJS.enc.Base64.parse(base64content); // CryptoJS is an inbuilt object, documented here: https://www.npmjs.com/package/crypto-js tests["Contents are valid"] = CryptoJS.enc.Utf8.stringify(intermediate); // a check for non-emptin
================================================================================================================
新版postman断言写法:

设置环境变量

pm.environment.set("variable_key", "variable_value");

将嵌套对象设置为环境变量

var array = [1, 2, 3, 4]; pm.environment.set("array", JSON.stringify(array, null, 2)); var obj = { a: [1, 2, 3, 4], b: { c: 'val' } }; pm.environment.set("obj", JSON.stringify(obj));

获取环境变量

pm.environment.get("variable_key");

获取环境变量(其值是字符串化对象)

// These statements should be wrapped in a try-catch block if the data is coming from an unknown source.

var array = JSON.parse(pm.environment.get("array")); var obj = JSON.parse(pm.environment.get("obj"));

清除环境变量

pm.environment.unset("variable_key");

设置全局变量

pm.globals.set("variable_key", "variable_value");

获取全局变量

pm.globals.get("variable_key");

清除全局变量

pm.globals.unset("variable_key");

得到一个变量

此函数在全局变量和活动环境中搜索变量。

pm.variables.get("variable_key");

检查响应主体是否包含字符串

pm.test("Body matches string", function () { pm.expect(pm.response.text()).to.include("string_you_want_to_search"); });

检查响应主体是否等于字符串

pm.test("Body is correct", function () { pm.response.to.have.body("response_body_string"); });

检查JSON值

pm.test("Your test name", function () { var jsonData = pm.response.json(); pm.expect(jsonData.value).to.eql(100); });

内容类型存在

pm.test("Content-Type is present", function () { pm.response.to.have.header("Content-Type"); });

响应时间小于200毫秒

pm.test("Response time is less than 200ms", function () { pm.expect(pm.response.responseTime).to.be.below(200); });

状态代码是200

pm.test("Status code is 200", function () { pm.response.to.have.status(200); });

代码名称包含一个字符串

pm.test("Status code name has string", function () { pm.response.to.have.status("Created"); });

成功的POST请求状态代码

pm.test("Successful POST request", function () { pm.expect(pm.response.code).to.be.oneOf([201,202]); });

使用TinyValidator获取JSON数据

var schema = {
 "items": { "type": "boolean" } }; var data1 = [true, false]; var data2 = [true, 123]; pm.test('Schema is valid', function() { pm.expect(tv4.validate(data1, schema)).to.be.true; pm.expect(tv4.validate(data2, schema)).to.be.true; });

JSON模式验证器

var Ajv = require('ajv'), ajv = new Ajv({logger: console}), schema = { "properties": { "alpha": { "type": "boolean" } } }; pm.test('Schema is valid', function() { pm.expect(ajv.validate(schema, {alpha: true})).to.be.true; pm.expect(ajv.validate(schema, {alpha: 123})).to.be.false; });

解码base64编码数据

var intermediate,
	base64Content, // assume this has a base64 encoded value
	rawContent = base64Content.slice('data:application/octet-stream;base64,'.length); intermediate = CryptoJS.enc.Base64.parse(base64content); // CryptoJS is an inbuilt object, documented here: https://www.npmjs.com/package/crypto-js pm.test('Contents are valid', function() { pm.expect(CryptoJS.enc.Utf8.stringify(intermediate)).to.be.true; // a check for non-emptiness });

发送异步请求

此功能既可用作预请求脚本,也可用作测试脚本。

pm.sendRequest("https://postman-echo.com/get", function (err, response) { console.log(response.json()); });

将XML主体转换为JSON对象

var jsonObject = xml2Json(responseBody);
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