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fastapi/param_functions.py
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 62.5K bytes - Viewed (0) -
docs/en/docs/benchmarks.md
* You wouldn't write an application in Uvicorn directly. That would mean that your code would have to include more or less, at least, all the code provided by Starlette (or **FastAPI**). And if you did that, your final application would have the same overhead as having used a framework and minimizing your app code and bugs.
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fastapi/security/http.py
provided in one of multiple optional ways (for example, in HTTP Basic authentication or in an HTTP Bearer token). """ ), ] = True, ): self.model = HTTPBaseModel(scheme="basic", description=description) self.scheme_name = scheme_name or self.__class__.__name__ self.realm = realm self.auto_error = auto_error
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) -
fastapi/utils.py
""" Create a new response field. Raises if type_ is invalid. """ class_validators = class_validators or {} if PYDANTIC_V2: field_info = field_info or FieldInfo( annotation=type_, default=default, alias=alias ) else: field_info = field_info or FieldInfo() kwargs = {"name": name, "field_info": field_info} if PYDANTIC_V2: kwargs.update({"mode": mode})
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/en/docs/tutorial/response-model.md
## `response_model` Parameter There are some cases where you need or want to return some data that is not exactly what the type declares. For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).
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docs/en/docs/tutorial/security/get-current-user.md
And you can use any model or data for the security requirements (in this case, a Pydantic model `User`). But you are not restricted to using some specific data model, class or type. Do you want to have an `id` and `email` and not have any `username` in your model? Sure. You can use these same tools.
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docs/en/docs/reference/request.md
# `Request` class You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc. You can import it directly from `fastapi`: ```python from fastapi import Request ``` !!! tip
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docs/en/docs/how-to/index.md
# How To - Recipes Here you will see different recipes or "how to" guides for **several topics**. Most of these ideas would be more or less **independent**, and in most cases you should only need to study them if they apply directly to **your project**. If something seems interesting and useful to your project, go ahead and check it, but otherwise, you might probably just skip them. !!! tip
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fastapi/security/oauth2.py
provided in one of multiple optional ways (for example, with OAuth2 or in a cookie). """ ), ] = True, ): self.model = OAuth2Model( flows=cast(OAuthFlowsModel, flows), description=description ) self.scheme_name = scheme_name or self.__class__.__name__ self.auto_error = auto_error
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/de/docs/tutorial/dependencies/sub-dependencies.md
Aber **FastAPI** wird wissen, dass es zuerst `query_extractor` auflösen muss, um dessen Resultat `query_or_cookie_extractor` zu übergeben, wenn dieses aufgerufen wird. ```mermaid graph TB query_extractor(["query_extractor"]) query_or_cookie_extractor(["query_or_cookie_extractor"]) read_query["/items/"]
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