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docs_src/websockets/tutorial002_an_py310.py
websocket: WebSocket, item_id: str, q: int | None = None, cookie_or_token: Annotated[str, Depends(get_cookie_or_token)], ): await websocket.accept() while True: data = await websocket.receive_text() await websocket.send_text( f"Session cookie or query token value is: {cookie_or_token}" ) if q is not None:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 2.8K bytes - Viewed (0) -
.github/ISSUE_TEMPLATE/config.yml
contact_links: - name: Security Contact about: Please report security vulnerabilities to ******@****.*** - name: Question or Problem about: Ask a question or ask about a problem in GitHub Discussions. url: https://github.com/tiangolo/fastapi/discussions/categories/questions - name: Feature Request about: To suggest an idea or ask about a feature, please start with a question saying what you would like to achieve. There might be a way to do it already.
Others - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Jan 31 14:02:52 GMT 2023 - 930 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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tests/test_tutorial/test_websockets/test_tutorial002_py310.py
assert data == "Session cookie or query token value is: fakesession" data = websocket.receive_text() assert data == f"Message text was: {message}, for item ID: foo" message = "Message two" websocket.send_text(message) data = websocket.receive_text() assert data == "Session cookie or query token value is: fakesession"
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 3.9K 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/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/advanced/middleware.md
## `HTTPSRedirectMiddleware` Enforces that all incoming requests must either be `https` or `wss`. Any incoming requests to `http` or `ws` will be redirected to the secure scheme instead. ```Python hl_lines="2 6" {!../../../docs_src/advanced_middleware/tutorial001.py!} ``` ## `TrustedHostMiddleware`
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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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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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