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  1. docs/tr/docs/advanced/wsgi.md

    # WSGI - Flask, Django ve Daha Fazlasını FastAPI ile Kullanma
    
    WSGI uygulamalarını [Sub Applications - Mounts](sub-applications.md){.internal-link target=_blank}, [Behind a Proxy](behind-a-proxy.md){.internal-link target=_blank} bölümlerinde gördüğünüz gibi bağlayabilirsiniz.
    
    Bunun için `WSGIMiddleware` ile Flask, Django vb. WSGI uygulamanızı sarmalayabilir ve FastAPI'ya bağlayabilirsiniz.
    
    ## `WSGIMiddleware` Kullanımı
    
    `WSGIMiddleware`'ı projenize dahil edin.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  2. tests/test_tutorial/test_security/test_tutorial001_an_py39.py

    import pytest
    from fastapi.testclient import TestClient
    
    from ...utils import needs_py39
    
    
    @pytest.fixture(name="client")
    def get_client():
        from docs_src.security.tutorial001_an_py39 import app
    
        client = TestClient(app)
        return client
    
    
    @needs_py39
    def test_no_token(client: TestClient):
        response = client.get("/items")
        assert response.status_code == 401, response.text
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Fri Jun 30 18:25:16 UTC 2023
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  3. docs/de/docs/tutorial/index.md

    Die Verwendung in Ihrem eigenen Editor zeigt Ihnen die Vorteile von FastAPI am besten, wenn Sie sehen, wie wenig Code Sie schreiben müssen, all die Typprüfungen, die automatische Vervollständigung usw.
    
    ---
    
    ## FastAPI installieren
    
    Der erste Schritt besteht aus der Installation von FastAPI.
    
    Für dieses Tutorial empfiehlt es sich, FastAPI mit allen optionalen Abhängigkeiten und Funktionen zu installieren:
    
    <div class="termy">
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  4. tests/test_callable_endpoint.py

    from functools import partial
    from typing import Optional
    
    from fastapi import FastAPI
    from fastapi.testclient import TestClient
    
    
    def main(some_arg, q: Optional[str] = None):
        return {"some_arg": some_arg, "q": q}
    
    
    endpoint = partial(main, "foo")
    
    app = FastAPI()
    
    app.get("/")(endpoint)
    
    
    client = TestClient(app)
    
    
    def test_partial():
        response = client.get("/?q=bar")
        data = response.json()
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Jun 28 18:13:30 UTC 2020
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  5. docs/zh/docs/tutorial/debugging.md

    ///
    
    ## 使用你的调试器运行代码
    
    由于是从代码直接运行的 Uvicorn 服务器,所以你可以从调试器直接调用 Python 程序(你的 FastAPI 应用)。
    
    ---
    
    例如,你可以在 Visual Studio Code 中:
    
    * 进入到「调试」面板。
    * 「添加配置...」。
    * 选中「Python」
    * 运行「Python:当前文件(集成终端)」选项的调试器。
    
    然后它会使用你的 **FastAPI** 代码开启服务器,停在断点处,等等。
    
    看起来可能是这样:
    
    <img src="/img/tutorial/debugging/image01.png">
    
    ---
    
    如果使用 Pycharm,你可以:
    
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  6. docs/zh/docs/advanced/response-directly.md

    # 直接返回响应
    
    当你创建一个 **FastAPI** *路径操作* 时,你可以正常返回以下任意一种数据:`dict`,`list`,Pydantic 模型,数据库模型等等。
    
    **FastAPI** 默认会使用 `jsonable_encoder` 将这些类型的返回值转换成 JSON 格式,`jsonable_encoder` 在 [JSON 兼容编码器](../tutorial/encoder.md){.internal-link target=_blank} 中有阐述。
    
    然后,**FastAPI** 会在后台将这些兼容 JSON 的数据(比如字典)放到一个 `JSONResponse` 中,该 `JSONResponse` 会用来发送响应给客户端。
    
    但是你可以在你的 *路径操作* 中直接返回一个 `JSONResponse`。
    
    直接返回响应可能会有用处,比如返回自定义的响应头和 cookies。
    
    ## 返回 `Response`
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  7. docs_src/events/tutorial003.py

    from fastapi import FastAPI
    
    
    def fake_answer_to_everything_ml_model(x: float):
        return x * 42
    
    
    ml_models = {}
    
    
    @asynccontextmanager
    async def lifespan(app: FastAPI):
        # Load the ML model
        ml_models["answer_to_everything"] = fake_answer_to_everything_ml_model
        yield
        # Clean up the ML models and release the resources
        ml_models.clear()
    
    
    app = FastAPI(lifespan=lifespan)
    
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Tue Mar 07 15:46:00 UTC 2023
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  8. docs/en/docs/deployment/server-workers.md

    ///
    
    ## Multiple Workers
    
    You can start multiple workers with the `--workers` command line option:
    
    //// tab | `fastapi`
    
    If you use the `fastapi` command:
    
    <div class="termy">
    
    ```console
    $ <pre> <font color="#4E9A06">fastapi</font> run --workers 4 <u style="text-decoration-style:single">main.py</u>
    <font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
    Registered: Sun Nov 03 07:19:11 UTC 2024
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  9. .github/actions/people/app/main.py

    github_graphql_url = "https://api.github.com/graphql"
    questions_category_id = "MDE4OkRpc2N1c3Npb25DYXRlZ29yeTMyMDAxNDM0"
    
    discussions_query = """
    query Q($after: String, $category_id: ID) {
      repository(name: "fastapi", owner: "fastapi") {
        discussions(first: 100, after: $after, categoryId: $category_id) {
          edges {
            cursor
            node {
              number
              author {
                login
                avatarUrl
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sat Aug 17 04:13:50 UTC 2024
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  10. docs/de/docs/tutorial/security/simple-oauth2.md

    * Ein optionales `client_secret` (benötigen wir für unser Beispiel nicht).
    
    /// info
    
    `OAuth2PasswordRequestForm` ist keine spezielle Klasse für **FastAPI**, so wie `OAuth2PasswordBearer`.
    
    `OAuth2PasswordBearer` lässt **FastAPI** wissen, dass es sich um ein Sicherheitsschema handelt. Daher wird es auf diese Weise zu OpenAPI hinzugefügt.
    
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Sun Oct 06 20:36:54 UTC 2024
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