# 导入验证器fromjsonschemaimportvalidate# 编写schema:my_schema = {"$schema":"http://json-schema.org/draft-04/schema#","title":"TestInfo","description":"some information about test","type":"object","properties": {"name": {"description":"Name of the test","type":"string"},"age": {...
title 和 description:该JSON Schema的注释和描述信息,不会向验证的数据调节约束。 type:该关键字会定义JSON数据的第一个约束,比如是JSON对象还是数组。 properties:需要约束的属性,值的类型是type的值。 示例: { "$schema": "http://json-schema.org/draft-07/schema#", "$id": "http://example.com/root...
# patternProperties对象的每一个一级key都是一个正则表达式,value都是一个JSON Schema。 # 只有待校验JSON对象中的一级key,通过与之匹配的patternProperties中的一级正则表达式,对应的JSON Schema的校验,才算通过校验。 # 下面的JSON Schema表示, 所有以a开头的一级key的value都必须是number, "patternProperties": ...
步骤一:定义Schema 首先,我们需要定义一个JSON数据的校验规则,即Schema。Schema定义了JSON数据的结构和属性的约束条件。常见的Schema定义语言包括JSON Schema和JSON-Specification。 以JSON Schema为例,以下是一个简单的Schema示例: {"type":"object","properties":{"name":{"type":"string"},"age":{"type":"int...
Python版本 代码语言:txt AI代码解释 import requests from jsonschema import validate def test_schema(): schema = { "type": "object", "properties": { "url": { "type": "string" }, "origin": { "type":"string" } } } r = requests.post("https://httpbin.ceshiren.com/post") ...
代码语言:python 代码运行次数:0 运行 AI代码解释 defperson_decoder(obj):if"name"inobjand"age"inobj:returnPerson(name=obj["name"],age=obj["age"])returnobj# 反序列化JSON字符串loaded_person=json.loads(json_string_custom,object_hook=person_decoder)print(loaded_person.__dict__) ...
GenSON's core function is to take JSON objects and generate schemas that describe them, but it is unique in its ability tomergeschemas. It was originally built to describe the common structure of a large number of JSON objects, and it uses its merging ability to generate a single schema fr...
首先要借助于 JSON Schema tool 的网站https://www.jsonschema.net/,将返回 json 字符串复制到页面左边,然后点击 INFER SHCEMA,就会自动转换为 schema json 文件类型,会将每个地段的返回值类型都设置一个默认类型,在 pattern 中也可以写正则进行匹配。
start_time = time.time()forjson_dataindata:try: validate(instance=json_data, schema=schema1, format_checker=draft7_format_checker)exceptSchemaErrorase:print("验证模式出错:{}\n提示信息:{}".format(" --> ".join([iforiine.path]), e.message))exceptValidationErrorase:print("出错字段:{}\n提...
>>> '{"schema":{"fields":[{"name":"index","type":"string"},{"name":"D","type":"integer"}],"primaryKey":["index"],"pandas_version":"0.20.0"},"data":[{"index":"x","D":15},{"index":"y","D":16},{"index":"z","D":17}]}' ...