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docs/pt/docs/deployment.md
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docs_src/sql_databases/sql_app_py310/tests/test_sql_app.py
SQLALCHEMY_DATABASE_URL = "sqlite:///./test.db" engine = create_engine( SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} ) TestingSessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine) Base.metadata.create_all(bind=engine) def override_get_db(): try: db = TestingSessionLocal() yield db finally: db.close()
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docs/en/layouts/custom.yml
font: family: *font_family style: Bold # Page title - size: { width: 832, height: 310 } offset: { x: 62, y: 160 } typography: content: *page_title align: start color: *color line: amount: 3 height: 1.25 font: family: *font_family style: Bold # Page description
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docs_src/sql_databases/sql_app_py39/alt_main.py
from fastapi import Depends, FastAPI, HTTPException, Request, Response from sqlalchemy.orm import Session from . import crud, models, schemas from .database import SessionLocal, engine models.Base.metadata.create_all(bind=engine) app = FastAPI() @app.middleware("http") async def db_session_middleware(request: Request, call_next): response = Response("Internal server error", status_code=500) try:
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docs/em/docs/deployment/server-workers.md
* 📥 👥 🚶♀️ 🎓 👈 🐁 💪 🗄 & ⚙️ ⏮️: ```Python import uvicorn.workers.UvicornWorker ``` * `--bind`: 👉 💬 🐁 📢 & ⛴ 👂, ⚙️ ❤ (`:`) 🎏 📢 & ⛴. * 🚥 👆 🏃♂ Uvicorn 🔗, ↩️ `--bind 0.0.0.0:80` (🐁 🎛) 👆 🔜 ⚙️ `--host 0.0.0.0` & `--port 80`. 🔢, 👆 💪 👀 👈 ⚫️ 🎦 **🕹** (🛠️ 🆔) 🔠 🛠️ (⚫️ 🔢). 👆 💪 👀 👈:
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docs/de/docs/deployment/manually.md
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docs/fr/docs/tutorial/body.md
Vous pouvez aussi déclarer un **corps**, et des paramètres de **chemin** et de **requête** dans la même *opération de chemin*. **FastAPI** saura reconnaître chacun d'entre eux et récupérer la bonne donnée au bon endroit. ```Python hl_lines="18" {!../../../docs_src/body/tutorial004.py!} ``` Les paramètres de la fonction seront reconnus comme tel :
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docs/tr/docs/async.md
Yürütme süresinin çoğu (beklemek yerine) iş yapıldığından ve bilgisayardaki iş bir <abbr title="Central Processing Unit">CPU</abbr> tarafından yapıldığından, bu sorunlara "CPU bound" diyorlar". --- CPU'ya bağlı işlemlerin yaygın örnekleri, karmaşık matematik işlemleri gerektiren işlerdir. Örneğin: * **Ses** veya **görüntü işleme**.
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docs_src/sql_databases/sql_app_py39/database.py
engine = create_engine( SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False} ) SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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docs/de/docs/deployment/server-workers.md
```Python import uvicorn.workers.UvicornWorker ``` * `--bind`: Das teilt Gunicorn die IP und den Port mit, welche abgehört werden sollen, wobei ein Doppelpunkt (`:`) verwendet wird, um die IP und den Port zu trennen. * Wenn Sie Uvicorn direkt ausführen würden, würden Sie anstelle von `--bind 0.0.0.0:80` (die Gunicorn-Option) stattdessen `--host 0.0.0.0` und `--port 80` verwenden.
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