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docs/fr/docs/tutorial/debugging.md
Vous pouvez connecter le <abbr title="En anglais: debugger">débogueur</abbr> dans votre éditeur, par exemple avec Visual Studio Code ou PyCharm. ## Faites appel à `uvicorn` Dans votre application FastAPI, importez et exécutez directement `uvicorn` : {* ../../docs_src/debugging/tutorial001.py hl[1,15] *} ### À propos de `__name__ == "__main__"`
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 27 17:31:14 UTC 2024 - 2.9K bytes - Viewed (0) -
docs_src/security/tutorial004_an_py39.py
from datetime import datetime, timedelta, timezone from typing import Annotated, Union import jwt from fastapi import Depends, FastAPI, HTTPException, status from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from jwt.exceptions import InvalidTokenError from passlib.context import CryptContext from pydantic import BaseModel # to get a string like this run: # openssl rand -hex 32
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Mon May 20 17:37:28 UTC 2024 - 4.2K bytes - Viewed (0) -
docs/de/docs/tutorial/path-params.md
{"item_id":3} ``` /// check Beachten Sie, dass der Wert, den Ihre Funktion erhält und zurückgibt, die Zahl `3` ist, also ein `int`. Nicht der String `"3"`, also ein `str`. Sprich, mit dieser Typdeklaration wird **FastAPI** die Anfrage automatisch <abbr title="Den String, der von einer HTTP Anfrage kommt, in Python-Objekte konvertieren">„parsen“</abbr>. /// ## Datenvalidierung
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docs_src/first_steps/tutorial002.py
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docs_src/dependency_testing/tutorial001_py310.py
from fastapi import Depends, FastAPI from fastapi.testclient import TestClient app = FastAPI() async def common_parameters(q: str | None = None, skip: int = 0, limit: int = 100): return {"q": q, "skip": skip, "limit": limit} @app.get("/items/") async def read_items(commons: dict = Depends(common_parameters)): return {"message": "Hello Items!", "params": commons} @app.get("/users/")
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Mar 18 12:29:59 UTC 2023 - 1.4K bytes - Viewed (0) -
docs/zh/docs/deployment/cloud.md
# 在云上部署 FastAPI 您几乎可以使用**任何云服务商**来部署 FastAPI 应用程序。 在大多数情况下,主要的云服务商都有部署 FastAPI 的指南。 ## 云服务商 - 赞助商 一些云服务商 ✨ [**赞助 FastAPI**](../help-fastapi.md#sponsor-the-author){.internal-link target=_blank} ✨,这确保了FastAPI 及其**生态系统**持续健康地**发展**。 这表明了他们对 FastAPI 及其**社区**(您)的真正承诺,因为他们不仅想为您提供**良好的服务**,而且还想确保您拥有一个**良好且健康的框架**:FastAPI。 🙇 您可能想尝试他们的服务并阅读他们的指南:
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Jan 28 10:38:34 UTC 2024 - 990 bytes - Viewed (0) -
docs_src/path_operation_advanced_configuration/tutorial003.py
from fastapi import FastAPI app = FastAPI() @app.get("/items/", include_in_schema=False) async def read_items():
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Mar 26 19:09:53 UTC 2020 - 148 bytes - Viewed (0) -
docs_src/sql_databases/tutorial001_py39.py
from typing import Union from fastapi import Depends, FastAPI, HTTPException, Query from sqlmodel import Field, Session, SQLModel, create_engine, select class Hero(SQLModel, table=True): id: Union[int, None] = Field(default=None, primary_key=True) name: str = Field(index=True) age: Union[int, None] = Field(default=None, index=True) secret_name: str sqlite_file_name = "database.db"
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Wed Oct 09 19:44:42 UTC 2024 - 1.8K bytes - Viewed (0) -
docs_src/response_status_code/tutorial001.py
from fastapi import FastAPI app = FastAPI() @app.post("/items/", status_code=201) async def create_item(name: str):
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Thu Mar 26 19:09:53 UTC 2020 - 145 bytes - Viewed (0) -
docs/zh/docs/advanced/additional-responses.md
/// info - 除非在 `responses` 参数中明确指定不同的媒体类型,否则**FastAPI**将假定响应与主响应类具有相同的媒体类型(默认为` application/json` )。 - 但是如果您指定了一个自定义响应类,并将 `None `作为其媒体类型,**FastAPI**将使用 `application/json` 作为具有关联模型的任何其他响应。 /// ## 组合信息 您还可以联合接收来自多个位置的响应信息,包括 `response_model `、 `status_code` 和 `responses `参数。 您可以使用默认的状态码 `200` (或者您需要的自定义状态码)声明一个 `response_model `,然后直接在OpenAPI模式中在 `responses` 中声明相同响应的其他信息。 **FastAPI**将保留来自 `responses` 的附加信息,并将其与模型中的JSON Schema结合起来。
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