[ "count" ], "title": "FooBar", "type": "object" }, "Gender": { "enum": [ "male", "female", "other", "not_given" ], "title": "Gender", "type": "string" } }, "description": "This is the description of the main m
{"$schema":"http://json-schema.org/draft-07/schema#","type":"object","properties":{"name":{"type":"string"},"age":{"type":"integer","minimum":0},"email":{"type":"string","format":"email"}},"required":["name","age"]} ok,那怎么得到一个 json scheme,我们可以给描述或者一...
返回以 JSON Schema 形式返回模型,以JSON字符串形式 代码语言:javascript 代码运行次数:0 运行 AI代码解释 user = User(id=123, name="jkc") print(user.schema_json()) print(type(user.schema_json())) # 输出结果 { "title":"User", "type":"object", "properties":{ "id":{ "title":"Id", ...
返回以 JSON Schema 形式返回模型,以字典格式highlighter- Dockerfile user = User(id=123, name="jkc") print(user.schema()) print(type(user.schema())) # 输出结果 { "title":"User", "type":"object", "properties":{ "id":{ "title":"Id", "type":"integer" }, "name":{ "title":"...
name:strdescription:strclassConfig:# 允许使用别名进行序列化allow_population_by_field_name=True# 将 ObjectId 转换为字符串json_encoders={ObjectId:str}# 示例数据item_data={"_id":ObjectId(),"name":"Sample Item","description":"This is a sample item."}item=Item(**item_data)print(item.json...
Pydantic数据类没有.json()功能。要将它们转储为 JSON,您需要使用pydantic_encoder以下内容: 代码语言:javascript 代码运行次数:0 运行 AI代码解释 import dataclasses import json from typing import List from pydantic.dataclasses import dataclass from pydantic.json import pydantic_encoder @dataclass class User...
'required': ['foo_bar'], 'definitions': {'FooBar': {'title': 'FooBar', 'type': 'object', 'properties': {'count': {'title': 'Count', 'type': 'integer'}, 'size': {'title': 'Size', 'type': 'number'}}, 'required': ['count']}}}print(MainModel.schema_json(indent=4))...
json_data_file = """[ {"thing_number": 123, "thing_description": "duck", "thing_amount": 4.56}, {"thing_number": 456, "thing_description": "cow", "thing_amount": 7.89}]""" from io import StringIO item_list2 = ItemList(each_item=json.load(StringIO(json_data_file))) ...
Which produce following JSON schemas: { "properties": { "f": { "title": "F", "type": "integer" } }, "required": [ "f" ], "title": "ValidModel", "type": "object" } { "properties": { "f": { "required": true, "title": "F", "type": "integer" } }, "required": ...
{ 'title': 'User', 'type': 'object', 'properties': { 'id': { 'title': 'Id', 'type': 'integer' }, 'signup_ts': { 'title': 'Signup Ts', 'type': 'string', 'format': 'date-time' }, 'friends': { 'title': 'Friends', 'default': [], 'type': 'array', 'items':...