Field required [type=missing, input_value={'name':'!','descriptio...", 'area': 'your attic'}, input_type=dict] For further information visit https://errors.pydantic.dev/2.7/v/missing aka Field required [type=missing, input_value={'name': '!', 'descriptio...", 'area': 'your att...
"msg": "field required", "type": "value_error.missing" }] } 提示异常错误,因为没有传q参数而抛出错误信息。 再次请求接口: http://127.0.0.1:8000/items_must?q=hehe { "items": [{ "item": "Foo" }, { "itme_id": "Bar" }], "q": "hehe" } 再次请求接口,并传q参数后,返回正常数据。
后台报错: {'type': 'missing', 'loc': ('response', 'user_nick_name'), 'msg': 'Field required', 'input': {'a': 1, 'b': 2.0, 'c': 'hello,world'}} {'type': 'missing', 'loc': ('response', 'user_password'), 'msg': 'Field required', 'input': {'a': 1, 'b': 2....
"# http localhost:8008/hiHTTP/1.1422Unprocessable Entity content-length:89content-type: application/json date: Thu, 06 Jun202402:58:31GMT server: uvicorn {"detail": [ {"input": null,"loc": ["query","who"],"msg":"Field required","type":"missing"} ] }# 注意两个等号为GET, 冒号表示...
"type":"value_error.missing" } ] } 5.3路径参数 路径参数使用fastapi的Path来声明。由于路径参数是路径的一部分,所以路径参数一定是必需的。在声明路径参数时使用 ... 将其标记为必需参数。但实际上,即使使用 None 声明路径参数或设置一个其他默认值也不会有任何影响,仍然会是必需参数。代码如下: ...
Here the query parameterneedyis a required query parameter of typestr. If you open in your browser a URL like: http://127.0.0.1:8000/items/foo-item ...without adding the required parameterneedy, you will see an error like: {"detail":[{"type":"missing","loc":["query","needy"],"...
"type": "value_error.missing" } ] } 给大伙总结一下,在实际代码中可能会用到必需参数,默认参数,可选参数,如下: from fastapi import FastAPI app = FastAPI() @app.get("/items/{item_id}") async def read_user_item(item_id: str, needy: str, skip: int = 0, limit: int = None): ...
以上代码中,参数x未声明默认值,当执行如下请求时,会出现错误提示: curl http://127.0.0.1:8000/add/2/3 1. { 1. "detail":[ 1. { 1. "loc":["query","x"], 1. "msg":"field required", 1. "type":"value_error.missing" 1. } 1. ] 1. } 1. 错误提示x为必须的查询参数。
"type": "value_error.missing" } ] } 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 创建数据模型 前面说到 FastAPI 依赖 Pydantic 模块,所以首先,你需要导入 Pydantic 的 BaseModel 类。 from fastapi import FastAPI from pydantic import BaseModel ...
{"detail":[{"loc":["query","q"],"msg":"field required","type":"value_error.missing"}]} 给大伙总结一下,在实际代码中可能会用到必需参数,默认参数,可选参数,如下: 代码语言:javascript 复制 from fastapiimportFastAPI app=FastAPI()@app.get("/items/{item_id}")asyncdefread_user_item(item_...