methods=["POST"])@validate()defexport(body:RequestBody):print(body.format)returnf"{body.format}"if__name__=='__main__':app.config["TESTING"]=Trueclient=app.test_client()valid_data={"format":"csv"}invalid_data={"
### 1.2 Flask-Pydantic 安装方法 安装 Flask-Pydantic 非常简单,只需要通过 pip 命令即可完成安装。首先确保你的环境中已安装了 Flask 和 Pydantic,然后执行以下命令: ```bash pip install flask-pydantic ``` 安装完成后,就可以在 Flask 应用中导入 Flask-Pydantic 并开始使用了。这一步骤非常直观,即使是初学者...
@app.route("/", methods=["POST"]) @validate(body=BodyModel, query=QueryModel) def post(): return ResponseModel( id=id_, age=request.query_params.age, name=request.body_params.name, nickname=request.body_params.nickname, ), 201 in validate decorator @app.route("/", methods=["POST"...
每当我想用BaseModels实现查询检查时，它都会抛出相同的错误。它可以很好地处理body。我想BaseModels需要JSO...
332 + response = validate( 333 + query=parameters.query_model, 334 + body=parameters.body_model, 335 + on_success_status=parameters.on_success_status, 336 + exclude_none=parameters.exclude_none, 337 + response_many=parameters.response_many, 338 + request_body_many=parameters.request...
response=validate(body_model)(lambdax:x)() 464+ validate(body_model)(lambdax:x)() 462465 assertexcinfo.value.body_params==[ 463466 { 464467 "loc": ("__root__",), @@ -475,7 +478,7 @@ def test_query_fail_validation_raise_exception(self, app, request_ctx, mocker): ...
@@ -79,7 +79,7 @@ def validate_path_params(func: Callable, kwargs: dict) -> Tuple[dict, list]: 79 79 errors = [] 80 80 validated = {} 81 81 for name, type_ in func.__annotations__.items(): 82 - if name in {"query", "body"}: ...
Generally it works fine to add "validate" to the decorators attribute of the class, however when you want to return a list what is the best practice to include response_many=True in the kwargs? One option is to roll our own decorator using something like functools.partial. Any otehr idea...
e. @validate must be closer to the function declaration). from typing import Optional from flask import Flask, request from pydantic import BaseModel from flask_pydantic import validate app = Flask("flask_pydantic_app") class QueryModel(BaseModel): age: int class ResponseModel(BaseModel): id:...
e. @validate must be closer to the function declaration). from typing import Optional from flask import Flask, request from pydantic import BaseModel from flask_pydantic import validate app = Flask("flask_pydantic_app") class QueryModel(BaseModel): age: int class ResponseModel(BaseModel): id:...