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fastapi/security/http.py
unauthorized_headers = {"WWW-Authenticate": f'Basic realm="{self.realm}"'} else: unauthorized_headers = {"WWW-Authenticate": "Basic"} if not authorization or scheme.lower() != "basic": if self.auto_error: raise HTTPException( status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated",
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Fri Apr 19 15:29:38 GMT 2024 - 13.2K bytes - Viewed (0) -
docs/en/docs/benchmarks.md
* **Starlette**: * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * But it provides you the tools to build simple web applications, with routing based on paths, etc.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:53:19 GMT 2024 - 3.4K bytes - Viewed (0) -
fastapi/utils.py
operation_id = f"{operation_id}_{method.lower()}" return operation_id def generate_unique_id(route: "APIRoute") -> str: operation_id = f"{route.name}{route.path_format}" operation_id = re.sub(r"\W", "_", operation_id) assert route.methods operation_id = f"{operation_id}_{list(route.methods)[0].lower()}" return operation_id
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
docs/de/docs/project-generation.md
* **PGAdmin** für die PostgreSQL-Datenbank, können Sie problemlos ändern, sodass PHPMyAdmin und MySQL verwendet wird. * **Flower** für die Überwachung von Celery-Jobs. * Load Balancing zwischen Frontend und Backend mit **Traefik**, sodass Sie beide unter derselben Domain haben können, getrennt durch den Pfad, aber von unterschiedlichen Containern ausgeliefert.
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fastapi/security/oauth2.py
authorization = request.headers.get("Authorization") scheme, param = get_authorization_scheme_param(authorization) if not authorization or scheme.lower() != "bearer": if self.auto_error: raise HTTPException( status_code=HTTP_401_UNAUTHORIZED, detail="Not authenticated",
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Apr 02 02:48:51 GMT 2024 - 21.1K bytes - Viewed (1) -
docs/en/docs/css/custom.css
a.internal-link::after { /* \00A0 is a non-breaking space to make the mark be on the same line as the link */ content: "\00A0↪"; } .shadow { box-shadow: 5px 5px 10px #999; } /* Give space to lower icons so Gitter chat doesn't get on top of them */ .md-footer-meta { padding-bottom: 2em; } .user-list { display: flex; flex-wrap: wrap; margin-bottom: 2rem; } .user-list-center {
CSS - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sun Jan 28 09:53:45 GMT 2024 - 2.8K bytes - Viewed (0) -
docs/en/docs/deployment/concepts.md
On the other hand, if you have 2 servers and you are using **100% of their CPU and RAM**, at some point one process will ask for more memory, and the server will have to use the disk as "memory" (which can be thousands of times slower), or even **crash**. Or one process might need to do some computation and would have to wait until the CPU is free again.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu May 02 22:37:31 GMT 2024 - 18K bytes - Viewed (0) -
docs/en/docs/release-notes.md
This change fixes a [CSRF](https://en.wikipedia.org/wiki/Cross-site_request_forgery) security vulnerability when using cookies for authentication in path operations with JSON payloads sent by browsers. In versions lower than `0.65.2`, FastAPI would try to read the request payload as JSON even if the `content-type` header sent was not set to `application/json` or a compatible JSON media type (e.g. `application/geo+json`).
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tests/test_filter_pydantic_sub_model_pv2.py
class ModelC(ModelB): password: str class ModelA(BaseModel): name: str description: Optional[str] = None foo: ModelB @field_validator("name") def lower_username(cls, name: str, info: ValidationInfo): if not name.endswith("A"): raise ValueError("name must end in A") return name async def get_model_c() -> ModelC:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.3K bytes - Viewed (0) -
docs/en/docs/tutorial/body-nested-models.md
``` ### Declare a `list` with a type parameter To declare types that have type parameters (internal types), like `list`, `dict`, `tuple`: * If you are in a Python version lower than 3.9, import their equivalent version from the `typing` module * Pass the internal type(s) as "type parameters" using square brackets: `[` and `]` In Python 3.9 it would be: ```Python my_list: list[str] ```
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