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tests/test_repeated_parameter_alias.py
from fastapi.testclient import TestClient app = FastAPI() @app.get("/{repeated_alias}") def get_parameters_with_repeated_aliases( path: str = Path(..., alias="repeated_alias"), query: str = Query(..., alias="repeated_alias"), ): return {"path": path, "query": query} client = TestClient(app) def test_get_parameters(): response = client.get("/test_path", params={"repeated_alias": "test_query"})
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tests/test_openapi_query_parameter_extension.py
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tests/test_enforce_once_required_parameter.py
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fastapi/param_functions.py
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docs/en/docs/tutorial/path-params.md
``` /files/{file_path:path} ``` In this case, the name of the parameter is `file_path`, and the last part, `:path`, tells it that the parameter should match any *path*. So, you can use it with: ```Python hl_lines="6" {!../../../docs_src/path_params/tutorial004.py!} ``` !!! tip
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docs/en/docs/tutorial/response-model.md
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docs/de/docs/advanced/openapi-callbacks.md
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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/tutorial/testing.md
E.g.: * To pass a *path* or *query* parameter, add it to the URL itself. * To pass a JSON body, pass a Python object (e.g. a `dict`) to the parameter `json`. * If you need to send *Form Data* instead of JSON, use the `data` parameter instead. * To pass *headers*, use a `dict` in the `headers` parameter. * For *cookies*, a `dict` in the `cookies` parameter.
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docs/en/docs/advanced/dataclasses.md
But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓 ## Dataclasses in `response_model` You can also use `dataclasses` in the `response_model` parameter: ```Python hl_lines="1 7-13 19" {!../../../docs_src/dataclasses/tutorial002.py!} ``` The dataclass will be automatically converted to a Pydantic dataclass.
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