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docs/en/docs/tutorial/middleware.md
# Middleware You can add middleware to **FastAPI** applications. A "middleware" is a function that works with every **request** before it is processed by any specific *path operation*. And also with every **response** before returning it. * It takes each **request** that comes to your application. * It can then do something to that **request** or run any needed code.
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docs/de/docs/project-generation.md
* **JWT-Token**-Authentifizierung. * **SQLAlchemy**-Modelle (unabhängig von Flask-Erweiterungen, sodass sie direkt mit Celery-Workern verwendet werden können). * Grundlegende Startmodelle für Benutzer (ändern und entfernen Sie nach Bedarf). * **Alembic**-Migrationen. * **CORS** (Cross Origin Resource Sharing). * **Celery**-Worker, welche Modelle und Code aus dem Rest des Backends selektiv importieren und verwenden können.
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docs/pt/docs/project-generation.md
* Modelos **SQLAlchemy** (independente de extensões Flask, para que eles possam ser usados com _workers_ Celery diretamente). * Modelos básicos para usuários (modifique e remova conforme suas necessidades). * Migrações **Alembic**. * **CORS** (_Cross Origin Resource Sharing_ - Compartilhamento de Recursos Entre Origens). * _Worker_ **Celery** que pode importar e usar modelos e códigos do resto do _backend_ seletivamente.
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docs/fr/docs/project-generation.md
* Modèle de démarrages basiques pour les utilisateurs (à modifier et supprimer au besoin). * Migrations **Alembic**. * **CORS** (partage des ressources entre origines multiples, ou *Cross Origin Resource Sharing*). * *Worker* **Celery** pouvant importer et utiliser les modèles et le code du reste du backend.
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.github/workflows/test.yml
name: Test on: push: branches: - master pull_request: types: - opened - synchronize schedule: # cron every week on monday - cron: "0 0 * * 1" jobs: lint: runs-on: ubuntu-latest steps: - name: Dump GitHub context env: GITHUB_CONTEXT: ${{ toJson(github) }} run: echo "$GITHUB_CONTEXT" - uses: actions/checkout@v4
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docs/ja/docs/tutorial/background-tasks.md
これらは、より複雑な構成、RabbitMQ や Redis などのメッセージ/ジョブキューマネージャーを必要とする傾向がありますが、複数のプロセス、特に複数のサーバーでバックグラウンドタスクを実行できます。 例を確認するには、[Project Generators](../project-generation.md){.internal-link target=_blank} を参照してください。これらにはすべて、Celery が構築済みです。
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tests/test_tutorial/test_schema_extra_example/test_tutorial004_an_py310.py
@needs_py310 def test_post_body_example(client: TestClient): response = client.put( "/items/5", json={ "name": "Foo", "description": "A very nice Item", "price": 35.4, "tax": 3.2, }, ) assert response.status_code == 200 @needs_py310 def test_openapi_schema(client: TestClient):
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tests/test_tutorial/test_query_params/test_tutorial006_py310.py
c = TestClient(app) return c @needs_py310 def test_foo_needy_very(client: TestClient): response = client.get("/items/foo?needy=very") assert response.status_code == 200 assert response.json() == { "item_id": "foo", "needy": "very", "skip": 0, "limit": None, } @needs_py310 def test_foo_no_needy(client: TestClient):
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tests/test_tutorial/test_schema_extra_example/test_tutorial001_pv1.py
return client @needs_pydanticv1 def test_post_body_example(client: TestClient): response = client.put( "/items/5", json={ "name": "Foo", "description": "A very nice Item", "price": 35.4, "tax": 3.2, }, ) assert response.status_code == 200 @needs_pydanticv1 def test_openapi_schema(client: TestClient):
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tests/test_tutorial/test_schema_extra_example/test_tutorial005_an.py
return client def test_post_body_example(client: TestClient): response = client.put( "/items/5", json={ "name": "Foo", "description": "A very nice Item", "price": 35.4, "tax": 3.2, }, ) assert response.status_code == 200 def test_openapi_schema(client: TestClient) -> None:
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