一：JMESPath断言
做接口测试需要对服务器返回结果进行断言。一般断言的部分
- 服务器返回的状态码
- 常见的Http响应状态码 200 300 400 500
- 服务器返回的结果值
- 针对主要字段进行判断
- 针对服务器返回的结果
1，以电商网站的首页返回结果为例，返回结果中数据有很多，如何确定这些结果是正确的。
{ "resultCode": 200, "message": "SUCCESS", "data": { "carousels": [ { "carouselUrl": "https://newbee-mall.oss-cn-beijing.aliyuncs.com/images/banner1.png", "redirectUrl": "https://juejin.im/book/5da2f9d4f265da5b81794d48/section/5da2f9d6f265da5b794f2189" }, { "carouselUrl": "https://newbee-mall.oss-cn-beijing.aliyuncs.com/images/banner2.png", "redirectUrl": "https://juejin.im/book/5da2f9d4f265da5b81794d48/section/5da2f9d6f265da5b794f2189" } ], "hotGoodses": [ { "goodsId": 10700, "goodsName": "荣耀8X 千元屏霸 91%屏占比 2000万AI双摄", "goodsIntro": "4GB+64GB 魅焰红 移动联通电信4G全...", "goodsCoverImg": "/goods-img/6a160b96-9b4a-4844-b335-feb31b1f5d8c.jpg", "sellingPrice": 999, "tag": "" }, { "goodsId": 10742, "goodsName": "华为 HUAWEI P30 Pro", "goodsIntro": "超感光徕卡四摄10倍混合变焦麒麟980芯片屏...", "goodsCoverImg": "/goods-img/dda1d575-cdac-4eb4-a118-3834490166f7.jpg", "sellingPrice": 5488, "tag": "" }, { "goodsId": 10159, "goodsName": "Apple AirPods 配充电盒", "goodsIntro": "苹果蓝牙耳机", "goodsCoverImg": "/goods-img/53c9f268-7cd4-4fac-909c-2dc066625655.jpg", "sellingPrice": 1246, "tag": "" }, { "goodsId": 10779, "goodsName": "华为 HUAWEI Mate 20", "goodsIntro": "麒麟980AI智能芯片全面屏超微距影像超大广...", "goodsCoverImg": "/goods-img/08f9a912-f049-4cf8-a839-115fc6582398.jpg", "sellingPrice": 3199, "tag": "" } ], "newGoodses": [ { "goodsId": 10893, "goodsName": "HUAWEI Mate 30 Pro 双4000万徕卡电影四...", "goodsIntro": "超曲面OLED环幕屏 8GB+256GB 全...", "goodsCoverImg": "/goods-img/mate30p2.png", "sellingPrice": 5399, "tag": "重构想象" }, { "goodsId": 10895, "goodsName": "HUAWEI Mate 30 4000万超感光徕卡影像", "goodsIntro": "OLED全面屏 8GB+128GB 全网通4...", "goodsCoverImg": "/goods-img/mate30-3.png", "sellingPrice": 3999, "tag": "重构想象" }, { "goodsId": 10283, "goodsName": "Apple iPhone 11 (A2223)", "goodsIntro": "256GB 绿色 移动联通电信4G手机 双卡...", "goodsCoverImg": "/goods-img/075a188a-9045-45f0-9c67-1e42e0552aa2.jpg", "sellingPrice": 6799, "tag": "" }, { "goodsId": 10320, "goodsName": "Apple iPhone 11 Pro", "goodsIntro": "(A2217) 256GB 暗夜绿色 移动联...", "goodsCoverImg": "/goods-img/0025ad55-e260-4a00-be79-fa5b8c5ac0de.jpg", "sellingPrice": 9999, "tag": "" }, { "goodsId": 10269, "goodsName": "Apple 2019新品 Macbook Pro 13.3", "goodsIntro": "【带触控栏】八代i5 8G 256G 银色 ...", "goodsCoverImg": "/goods-img/a2afdb6c-69a7-4081-bd09-62174f9f5624.jpg", "sellingPrice": 12999, "tag": "" } ], "recommendGoodses": [ { "goodsId": 10195, "goodsName": "索尼 WH-1000XM3 头戴式耳机", "goodsIntro": "高解析度无线蓝牙降噪（触控面板 智能降噪 长...", "goodsCoverImg": "/goods-img/0dc503b2-90a2-4971-9723-c085a1844b76.jpg", "sellingPrice": 2599, "tag": "智能降噪 长久续航" }, { "goodsId": 10180, "goodsName": "Apple AirPods 配充电盒", "goodsIntro": "苹果蓝牙耳机", "goodsCoverImg": "/goods-img/64768a8d-0664-4b29-88c9-2626578ffbd1.jpg", "sellingPrice": 1246, "tag": "妙出新境界" }, { "goodsId": 10147, "goodsName": "MUJI 羽毛 靠垫", "goodsIntro": "白色", "goodsCoverImg": "/goods-img/0f701215-b782-40c7-8bbd-97b51be56461.jpg", "sellingPrice": 65, "tag": "悠享惬意" }, { "goodsId": 10894, "goodsName": "HUAWEI Mate 30 Pro", "goodsIntro": "超曲面OLED环幕屏 8GB+128GB 全...", "goodsCoverImg": "/goods-img/mate30p3.png", "sellingPrice": 5399, "tag": "重构想象" }, { "goodsId": 10237, "goodsName": "MAC 雾面丝绒哑光子弹头口红", "goodsIntro": "磨砂系列 3g 316 devoted to...", "goodsCoverImg": "/goods-img/1930d79b-88bd-4c5c-8510-0697c9ad2578.jpg", "sellingPrice": 165, "tag": "雾面丝绒哑光" }, { "goodsId": 10160, "goodsName": "小米 Redmi AirDots", "goodsIntro": "真无线蓝牙耳机|分体式耳机 |收纳充电盒 |...", "goodsCoverImg": "/goods-img/c47403f1-b706-453b-88d8-2bfdee0316be.jpg", "sellingPrice": 129, "tag": "为自由发声" }, { "goodsId": 10254, "goodsName": "Apple 2019款 MacBook Air 13.3 ", "goodsIntro": "Retina屏 八代i5 8G 128G S...", "goodsCoverImg": "/goods-img/7810bc9d-236f-4386-a0ef-45a831b49bf2.jpg", "sellingPrice": 8499, "tag": "再次倾心" }, { "goodsId": 10154, "goodsName": "无印良品 MUJI 塑料浴室座椅", "goodsIntro": "原色", "goodsCoverImg": "/goods-img/15395057-94e9-4545-a8ee-8aee025f40c5.jpg", "sellingPrice": 85, "tag": "无印良品" }, { "goodsId": 10113, "goodsName": "无印良品 MUJI 小型超声波香薰机", "goodsIntro": "其他", "goodsCoverImg": "/goods-img/9608b59d-cbca-4b70-9f05-226fde41c51c.jpg", "sellingPrice": 250, "tag": "呼吸品质生活" }, { "goodsId": 10158, "goodsName": "无印良品 女式粗棉线条纹长袖T恤", "goodsIntro": "黑*横条 L", "goodsCoverImg": "/goods-img/5488564b-8335-4b0c-a5a4-52f3f03ee728.jpg", "sellingPrice": 70, "tag": "无印良品" } ] } }
主要字段进行断言
- resultCode 值为200
- message 值为SUCCESS
如何对 data的值进行断言？
data的值一般包含两个方面
- data 的数据格式, 比如 hotGoodses 的数据有很多，但是每个数据的数据格式是固定的。
- 要对数据格式进行断言
{ "goodsId": 10742, "goodsName": "华为 HUAWEI P30 Pro", "goodsIntro": "超感光徕卡四摄10倍混合变焦麒麟980芯片屏...", "goodsCoverImg": "/goods-img/dda1d575-cdac-4eb4-a118-3834490166f7.jpg", "sellingPrice": 5488, "tag": "" }
- 针对数据本身进行断言， 不仅要确保数据的格式是正确的，还要确保数据的内容是正确的。
根据需求文档，热销商品在首页数量为 4个
添加断言，针对数据的数据数量进行断言。
使用Python的语法进行断言
import requests def test_01(): url = "http://49.233.108.117:28019/api/v1/index-infos" res = requests.get(url) res_data = res.json() # 热销商品的个数为4个 assert len(res_data['data']["hotGoodses"]) == 4
上面是大家比较常用的方式来进行断言，也可以使用JMESPath方式进行断言。
参看：
https://jmespath.org/tutorial.html
Python库地址
https://github.com/jmespath/jmespath.py
安装
pip install jmespath
使用
import requests import jmespath def test_01(): url = "http://49.233.108.117:28019/api/v1/index-infos" res = requests.get(url) res_data = res.json() # 热销商品的个数为4个 # assert len(res_data['data']["hotGoodses"]) == 4 print(jmespath.search('length(data.hotGoodses)',res_data)) assert jmespath.search('length(data.hotGoodses)',res_data) == 4
使用 jmespath 的方式进行断言。
也可以同时进行断言
- 1. 每页数据的长度
- 2. 返回的商品id默认已经排序
import requests import jmespath def test_01(): url = "http://49.233.108.117:28019/api/v1/index-infos" res = requests.get(url) res_data = res.json() # 热销商品的个数为4个 # assert len(res_data['data']["hotGoodses"]) == 4 print(jmespath.search('length(data.hotGoodses)',res_data)) assert jmespath.search('length(data.hotGoodses)',res_data) == 4 # 热销商品的个数为4个，新品上线数据为6个。最新推荐数量为10 print(jmespath.search('[length(data.hotGoodses),length(data.newGoodses),length(data.recommendGoodses)]', res_data)) assert jmespath.search('[length(data.hotGoodses),length(data.newGoodses),length(data.recommendGoodses)]', res_data)==[4,6,10]
判断搜索接口
import requests from faker import Faker import jmespath # 设置地区 fk = Faker(['zh_CN']) class TestData: token:None phone = fk.phone_number() passwd = "123456" print(phone) def test_register(): url = "http://49.233.108.117:28019/api/v1/user/register" data = { "loginName": phone, "password": passwd } res = requests.post(url,json=data) assert res.status_code == 200 assert res.json()["resultCode"] == 200 assert res.json()['message']== "SUCCESS" def test_login(): url = "http://49.233.108.117:28019/api/v1/user/login" import hashlib passwdmd5 = hashlib.md5(passwd.encode()) data = { "loginName": phone, "passwordMd5": passwdmd5.hexdigest() } res = requests.post(url,json=data) assert res.status_code == 200 assert res.json()["resultCode"] == 200 assert res.json()['message'] == "SUCCESS" # 上下游传参 # 赋值给类变量 TestData.token = res.json()['data'] def test_search(): url = 'http://49.233.108.117:28019/api/v1/search' header = { # 调用类变量 "token": TestData.token } query = {"keyword": "Iphone"} res = requests.get(url,headers = header,params=query) assert res.status_code == 200 assert res.json()["resultCode"] == 200 assert res.json()['message'] == "SUCCESS" # 每页数据的长度 assert jmespath.search('length(data.list)',res.json()) == jmespath.search('data.pageSize',res.json()) # 商品的goodsid 从小到大进行排序 goodsids = jmespath.search('data.list[*].goodsId',res.json()) print(goodsids,type(goodsids)) newgoodsid = goodsids.copy() print(newgoodsid,type(newgoodsid)) newgoodsid.sort() assert goodsids == newgoodsid # for data in res.json()["data"]["list"]: # # 每条搜索结果中包含 iPhone 关键字 # assert 'IPhone'.upper() in data["goodsName"].upper()
另外 JMESpath的语法也可在Jmeter 中使用
二：jsonschema 断言
jsonschema断言主要是针对服务器返回结果的数据类型进行断言。
比如： 服务器返回结果
{ "resultCode": 200, "message": "SUCCESS", "data": null }
要求：
- resultcode 的值类型为数字
- messge 值类型为 字符串
- data 值类型为 null
可以在线生成对应的scheme
安装
https://python-jsonschema.readthedocs.io/en/stable/
pip install jsonschema
快速使用
result = { "resultCode": 200, "message": "SUCCESS", "data": None } schame ={ "type": "object", "required": [ "resultCode", "message", "data" ], "properties": { "resultCode": { "type": "integer" }, "message": { "type": "string" }, "data": { "type": "null" } } } import jsonschema jsonschema.validate(result,schame)
上面代码可以对数据类型进行断言。
常见的面试题：
如果一个接口返回的字段特别多
{ "resultCode": 200, "message": "SUCCESS", "data": { "carousels": [ { "carouselUrl": "https://newbee-mall.oss-cn-beijing.aliyuncs.com/images/banner1.png", "redirectUrl": "https://juejin.im/book/5da2f9d4f265da5b81794d48/section/5da2f9d6f265da5b794f2189" }, { "carouselUrl": "https://newbee-mall.oss-cn-beijing.aliyuncs.com/images/banner2.png", "redirectUrl": "https://juejin.im/book/5da2f9d4f265da5b81794d48/section/5da2f9d6f265da5b794f2189" } ], "hotGoodses": [ { "goodsId": 10700, "goodsName": "荣耀8X 千元屏霸 91%屏占比 2000万AI双摄", "goodsIntro": "4GB+64GB 魅焰红 移动联通电信4G全...", "goodsCoverImg": "/goods-img/6a160b96-9b4a-4844-b335-feb31b1f5d8c.jpg", "sellingPrice": 999, "tag": "" }, { "goodsId": 10742, "goodsName": "华为 HUAWEI P30 Pro", "goodsIntro": "超感光徕卡四摄10倍混合变焦麒麟980芯片屏...", "goodsCoverImg": "/goods-img/dda1d575-cdac-4eb4-a118-3834490166f7.jpg", "sellingPrice": 5488, "tag": "" }, { "goodsId": 10159, "goodsName": "Apple AirPods 配充电盒", "goodsIntro": "苹果蓝牙耳机", "goodsCoverImg": "/goods-img/53c9f268-7cd4-4fac-909c-2dc066625655.jpg", "sellingPrice": 1246, "tag": "" }, { "goodsId": 10779, "goodsName": "华为 HUAWEI Mate 20", "goodsIntro": "麒麟980AI智能芯片全面屏超微距影像超大广...", "goodsCoverImg": "/goods-img/08f9a912-f049-4cf8-a839-115fc6582398.jpg", "sellingPrice": 3199, "tag": "" } ], "newGoodses": [ { "goodsId": 10893, "goodsName": "HUAWEI Mate 30 Pro 双4000万徕卡电影四...", "goodsIntro": "超曲面OLED环幕屏 8GB+256GB 全...", "goodsCoverImg": "/goods-img/mate30p2.png", "sellingPrice": 5399, "tag": "重构想象" }, { "goodsId": 10895, "goodsName": "HUAWEI Mate 30 4000万超感光徕卡影像", "goodsIntro": "OLED全面屏 8GB+128GB 全网通4...", "goodsCoverImg": "/goods-img/mate30-3.png", "sellingPrice": 3999, "tag": "重构想象" }, { "goodsId": 10283, "goodsName": "Apple iPhone 11 (A2223)", "goodsIntro": "256GB 绿色 移动联通电信4G手机 双卡...", "goodsCoverImg": "/goods-img/075a188a-9045-45f0-9c67-1e42e0552aa2.jpg", "sellingPrice": 6799, "tag": "" }, { "goodsId": 10320, "goodsName": "Apple iPhone 11 Pro", "goodsIntro": "(A2217) 256GB 暗夜绿色 移动联...", "goodsCoverImg": "/goods-img/0025ad55-e260-4a00-be79-fa5b8c5ac0de.jpg", "sellingPrice": 9999, "tag": "" }, { "goodsId": 10269, "goodsName": "Apple 2019新品 Macbook Pro 13.3", "goodsIntro": "【带触控栏】八代i5 8G 256G 银色 ...", "goodsCoverImg": "/goods-img/a2afdb6c-69a7-4081-bd09-62174f9f5624.jpg", "sellingPrice": 12999, "tag": "" } ], "recommendGoodses": [ { "goodsId": 10195, "goodsName": "索尼 WH-1000XM3 头戴式耳机", "goodsIntro": "高解析度无线蓝牙降噪（触控面板 智能降噪 长...", "goodsCoverImg": "/goods-img/0dc503b2-90a2-4971-9723-c085a1844b76.jpg", "sellingPrice": 2599, "tag": "智能降噪 长久续航" }, { "goodsId": 10180, "goodsName": "Apple AirPods 配充电盒", "goodsIntro": "苹果蓝牙耳机", "goodsCoverImg": "/goods-img/64768a8d-0664-4b29-88c9-2626578ffbd1.jpg", "sellingPrice": 1246, "tag": "妙出新境界" }, { "goodsId": 10147, "goodsName": "MUJI 羽毛 靠垫", "goodsIntro": "白色", "goodsCoverImg": "/goods-img/0f701215-b782-40c7-8bbd-97b51be56461.jpg", "sellingPrice": 65, "tag": "悠享惬意" }, { "goodsId": 10894, "goodsName": "HUAWEI Mate 30 Pro", "goodsIntro": "超曲面OLED环幕屏 8GB+128GB 全...", "goodsCoverImg": "/goods-img/mate30p3.png", "sellingPrice": 5399, "tag": "重构想象" }, { "goodsId": 10237, "goodsName": "MAC 雾面丝绒哑光子弹头口红", "goodsIntro": "磨砂系列 3g 316 devoted to...", "goodsCoverImg": "/goods-img/1930d79b-88bd-4c5c-8510-0697c9ad2578.jpg", "sellingPrice": 165, "tag": "雾面丝绒哑光" }, { "goodsId": 10160, "goodsName": "小米 Redmi AirDots", "goodsIntro": "真无线蓝牙耳机|分体式耳机 |收纳充电盒 |...", "goodsCoverImg": "/goods-img/c47403f1-b706-453b-88d8-2bfdee0316be.jpg", "sellingPrice": 129, "tag": "为自由发声" }, { "goodsId": 10254, "goodsName": "Apple 2019款 MacBook Air 13.3 ", "goodsIntro": "Retina屏 八代i5 8G 128G S...", "goodsCoverImg": "/goods-img/7810bc9d-236f-4386-a0ef-45a831b49bf2.jpg", "sellingPrice": 8499, "tag": "再次倾心" }, { "goodsId": 10154, "goodsName": "无印良品 MUJI 塑料浴室座椅", "goodsIntro": "原色", "goodsCoverImg": "/goods-img/15395057-94e9-4545-a8ee-8aee025f40c5.jpg", "sellingPrice": 85, "tag": "无印良品" }, { "goodsId": 10113, "goodsName": "无印良品 MUJI 小型超声波香薰机", "goodsIntro": "其他", "goodsCoverImg": "/goods-img/9608b59d-cbca-4b70-9f05-226fde41c51c.jpg", "sellingPrice": 250, "tag": "呼吸品质生活" }, { "goodsId": 10158, "goodsName": "无印良品 女式粗棉线条纹长袖T恤", "goodsIntro": "黑*横条 L", "goodsCoverImg": "/goods-img/5488564b-8335-4b0c-a5a4-52f3f03ee728.jpg", "sellingPrice": 70, "tag": "无印良品" } ] } }
如何对这样的结果进行断言？
- 针对返回结果的主要字段值进行断言。 使用 JMESPath进行断言。
- 针对服务器返回结果的字段类型进行断言。使用josn schema进行断言。
import requests r = requests.get('http://49.233.108.117:28019/api/v1/index-infos') schame ={ "$schema": "http://json-schema.org/draft-07/schema", "$id": "http://example.com/example.json", "type": "object", "required": [ "resultCode", "message", "data" ], "properties": { "resultCode": { "$id": "#/properties/resultCode", "type": "integer" }, "message": { "$id": "#/properties/message", "type": "string" }, "data": { "$id": "#/properties/data", "type": "object", "required": [ "carousels", "hotGoodses", "newGoodses", "recommendGoodses" ], "properties": { "carousels": { "$id": "#/properties/data/properties/carousels", "type": "array", "additionalItems": True, "items": { "$id": "#/properties/data/properties/carousels/items", "anyOf": [ { "$id": "#/properties/data/properties/carousels/items/anyOf/0", "type": "object", "required": [ "carouselUrl", "redirectUrl" ], "properties": { "carouselUrl": { "$id": "#/properties/data/properties/carousels/items/anyOf/0/properties/carouselUrl", "type": "string" }, "redirectUrl": { "$id": "#/properties/data/properties/carousels/items/anyOf/0/properties/redirectUrl", "type": "string" } }, "additionalProperties": True } ] } }, "hotGoodses": { "$id": "#/properties/data/properties/hotGoodses", "type": "array", "additionalItems": True, "items": { "$id": "#/properties/data/properties/hotGoodses/items", "anyOf": [ { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0", "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsId", "type": "integer" }, "goodsName": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsName", "type": "string" }, "goodsIntro": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsIntro", "type": "string" }, "goodsCoverImg": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsCoverImg", "type": "string" }, "sellingPrice": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/sellingPrice", "type": "integer" }, "tag": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/tag", "type": "string" } }, "additionalProperties": True } ] } }, "newGoodses": { "$id": "#/properties/data/properties/newGoodses", "type": "array", "additionalItems": True, "items": { "$id": "#/properties/data/properties/newGoodses/items", "anyOf": [ { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0", "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsId", "type": "integer" }, "goodsName": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsName", "type": "string" }, "goodsIntro": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsIntro", "type": "string" }, "goodsCoverImg": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsCoverImg", "type": "string" }, "sellingPrice": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/sellingPrice", "type": "integer" }, "tag": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/tag", "type": "string" } }, "additionalProperties": True } ] } }, "recommendGoodses": { "$id": "#/properties/data/properties/recommendGoodses", "type": "array", "additionalItems": True, "items": { "anyOf": [ { "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "type": "integer" }, "goodsName": { "type": "string" }, "goodsIntro": { "type": "string" }, "goodsCoverImg": { "type": "string" }, "sellingPrice": { "type": "integer" }, "tag": { "type": "string" } }, } ] } } }, } }, } import jsonschema jsonschema.validate(r.json(),schame)
代码优化
schema生成之后，对应的数据太多。直接写在代码中不方便。可以放到文件中
indexdata_schame.json
{ "$schema": "http://json-schema.org/draft-07/schema", "$id": "http://example.com/example.json", "type": "object", "required": [ "resultCode", "message", "data" ], "properties": { "resultCode": { "$id": "#/properties/resultCode", "type": "integer" }, "message": { "$id": "#/properties/message", "type": "string" }, "data": { "$id": "#/properties/data", "type": "object", "required": [ "carousels", "hotGoodses", "newGoodses", "recommendGoodses" ], "properties": { "carousels": { "$id": "#/properties/data/properties/carousels", "type": "array", "additionalItems": true, "items": { "$id": "#/properties/data/properties/carousels/items", "anyOf": [ { "$id": "#/properties/data/properties/carousels/items/anyOf/0", "type": "object", "required": [ "carouselUrl", "redirectUrl" ], "properties": { "carouselUrl": { "$id": "#/properties/data/properties/carousels/items/anyOf/0/properties/carouselUrl", "type": "string" }, "redirectUrl": { "$id": "#/properties/data/properties/carousels/items/anyOf/0/properties/redirectUrl", "type": "string" } }, "additionalProperties": true } ] } }, "hotGoodses": { "$id": "#/properties/data/properties/hotGoodses", "type": "array", "additionalItems": true, "items": { "$id": "#/properties/data/properties/hotGoodses/items", "anyOf": [ { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0", "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsId", "type": "integer" }, "goodsName": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsName", "type": "string" }, "goodsIntro": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsIntro", "type": "string" }, "goodsCoverImg": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/goodsCoverImg", "type": "string" }, "sellingPrice": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/sellingPrice", "type": "integer" }, "tag": { "$id": "#/properties/data/properties/hotGoodses/items/anyOf/0/properties/tag", "type": "string" } }, "additionalProperties": true } ] } }, "newGoodses": { "$id": "#/properties/data/properties/newGoodses", "type": "array", "additionalItems": true, "items": { "$id": "#/properties/data/properties/newGoodses/items", "anyOf": [ { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0", "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsId", "type": "integer" }, "goodsName": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsName", "type": "string" }, "goodsIntro": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsIntro", "type": "string" }, "goodsCoverImg": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/goodsCoverImg", "type": "string" }, "sellingPrice": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/sellingPrice", "type": "integer" }, "tag": { "$id": "#/properties/data/properties/newGoodses/items/anyOf/0/properties/tag", "type": "string" } }, "additionalProperties": true } ] } }, "recommendGoodses": { "$id": "#/properties/data/properties/recommendGoodses", "type": "array", "additionalItems": true, "items": { "$id": "#/properties/data/properties/recommendGoodses/items", "anyOf": [ { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0", "type": "object", "required": [ "goodsId", "goodsName", "goodsIntro", "goodsCoverImg", "sellingPrice", "tag" ], "properties": { "goodsId": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/goodsId", "type": "integer" }, "goodsName": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/goodsName", "type": "string" }, "goodsIntro": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/goodsIntro", "type": "string" }, "goodsCoverImg": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/goodsCoverImg", "type": "string" }, "sellingPrice": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/sellingPrice", "type": "integer" }, "tag": { "$id": "#/properties/data/properties/recommendGoodses/items/anyOf/0/properties/tag", "type": "string" } }, "additionalProperties": true } ] } } }, "additionalProperties": true } }, "additionalProperties": true }
在代码中通过读取文件 实现操作
import requests import json import jsonschema r = requests.get('http://49.233.108.117:28019/api/v1/index-infos') # 读取json文件中定义的schema with open('./indexdata_schame.json',mode='r',encoding='utf8') as file: schame = json.load(file) print(schame) jsonschema.validate(r.json(),schame)