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scripts/docs.py
shutil.rmtree(site_path, ignore_errors=True) langs = [lang.name for lang in get_lang_paths() if lang.is_dir()] cpu_count = os.cpu_count() or 1 process_pool_size = cpu_count * 4 typer.echo(f"Using process pool size: {process_pool_size}") with Pool(process_pool_size) as p: p.map(build_lang, langs) @app.command() def update_languages() -> None: """
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Mon Jan 22 19:26:14 GMT 2024 - 10.9K bytes - Viewed (1) -
docs_src/sql_databases/sql_app/tests/test_sql_app.py
from fastapi.testclient import TestClient from sqlalchemy import create_engine from sqlalchemy.orm import sessionmaker from sqlalchemy.pool import StaticPool from ..database import Base from ..main import app, get_db SQLALCHEMY_DATABASE_URL = "sqlite://" engine = create_engine( SQLALCHEMY_DATABASE_URL, connect_args={"check_same_thread": False}, poolclass=StaticPool, )
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Jun 22 11:20:12 GMT 2023 - 1.2K bytes - Viewed (0) -
docs/de/docs/advanced/events.md
Dies kann sehr nützlich sein, um **Ressourcen** einzurichten, die Sie in der gesamten Anwendung verwenden wollen und die von Requests **gemeinsam genutzt** werden und/oder die Sie anschließend **aufräumen** müssen. Zum Beispiel ein Pool von Datenbankverbindungen oder das Laden eines gemeinsam genutzten Modells für maschinelles Lernen. ## Anwendungsfall
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docs/pt/docs/advanced/events.md
Pode ser muito útil para configurar **recursos** que você precisa usar por toda aplicação, e que são **compartilhados** entre as requisições, e/ou que você precisa **limpar** depois. Por exemplo, o pool de uma conexão com o banco de dados ou carregamento de um modelo compartilhado de aprendizado de máquina (_machine learning_). ## Caso de uso Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.
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docs/en/docs/advanced/events.md
This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model. ## Use Case Let's start with an example **use case** and then see how to solve it with this.
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docs_src/openapi_callbacks/tutorial001.py
class Invoice(BaseModel): id: str title: Union[str, None] = None customer: str total: float class InvoiceEvent(BaseModel): description: str paid: bool class InvoiceEventReceived(BaseModel): ok: bool invoices_callback_router = APIRouter() @invoices_callback_router.post( "{$callback_url}/invoices/{$request.body.id}", response_model=InvoiceEventReceived )
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docs_src/query_params/tutorial003_py310.py
from fastapi import FastAPI app = FastAPI() @app.get("/items/{item_id}") async def read_item(item_id: str, q: str | None = None, short: bool = False): item = {"item_id": item_id} if q: item.update({"q": q}) if not short: item.update( {"description": "This is an amazing item that has a long description"} )
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Fri Jan 07 14:11:31 GMT 2022 - 374 bytes - Viewed (0) -
docs_src/dependencies/tutorial011_an_py39.py
return self.fixed_content in q return False checker = FixedContentQueryChecker("bar") @app.get("/query-checker/") async def read_query_check(fixed_content_included: Annotated[bool, Depends(checker)]):
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docs_src/query_params/tutorial004.py
from typing import Union from fastapi import FastAPI app = FastAPI() @app.get("/users/{user_id}/items/{item_id}") async def read_user_item( user_id: int, item_id: str, q: Union[str, None] = None, short: bool = False ): item = {"item_id": item_id, "owner_id": user_id} if q: item.update({"q": q}) if not short: item.update(
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fastapi/dependencies/models.py
background_tasks_param_name: Optional[str] = None, security_scopes_param_name: Optional[str] = None, security_scopes: Optional[List[str]] = None, use_cache: bool = True, path: Optional[str] = None, ) -> None: self.path_params = path_params or [] self.query_params = query_params or [] self.header_params = header_params or []
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