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docs/en/docs/benchmarks.md
* If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks). * **FastAPI**: * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.
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tests/test_response_model_data_filter_no_inheritance.py
return [pet1, pet2] client = TestClient(app) def test_filter_top_level_model(): response = client.post( "/users", json={"email": "******@****.***", "password": "secret"} ) assert response.json() == {"email": "******@****.***"} def test_filter_second_level_model(): response = client.get("/pets/1") assert response.json() == {
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docs/en/docs/how-to/general.md
# General - How To - Recipes Here are several pointers to other places in the docs, for general or frequent questions. ## Filter Data - Security To ensure that you don't return more data than you should, read the docs for [Tutorial - Response Model - Return Type](../tutorial/response-model.md){.internal-link target=_blank}. ## Documentation Tags - OpenAPI
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docs/en/docs/tutorial/cookie-params.md
!!! tip Prefer to use the `Annotated` version if possible. ```Python hl_lines="9" {!> ../../../docs_src/cookie_params/tutorial001.py!} ``` !!! note "Technical Details" `Cookie` is a "sister" class of `Path` and `Query`. It also inherits from the same common `Param` class. But remember that when you import `Query`, `Path`, `Cookie` and others from `fastapi`, those are actually functions that return special classes.
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tests/test_filter_pydantic_sub_model_pv2.py
return {"name": name, "description": "model-a-desc", "foo": model_c} client = TestClient(app) return client @needs_pydanticv2 def test_filter_sub_model(client: TestClient): response = client.get("/model/modelA") assert response.status_code == 200, response.text assert response.json() == { "name": "modelA", "description": "model-a-desc",
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tests/test_response_model_data_filter.py
return [pet1, pet2] client = TestClient(app) def test_filter_top_level_model(): response = client.post( "/users", json={"email": "******@****.***", "password": "secret"} ) assert response.json() == {"email": "******@****.***"} def test_filter_second_level_model(): response = client.get("/pets/1") assert response.json() == {
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docs/en/docs/advanced/response-headers.md
{!../../../docs_src/response_headers/tutorial002.py!} ``` And then you can return any object you need, as you normally would (a `dict`, a database model, etc). And if you declared a `response_model`, it will still be used to filter and convert the object you returned.
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tests/test_filter_pydantic_sub_model/test_filter_pydantic_sub_model_pv1.py
from ..utils import needs_pydanticv1 @pytest.fixture(name="client") def get_client(): from .app_pv1 import app client = TestClient(app) return client @needs_pydanticv1 def test_filter_sub_model(client: TestClient): response = client.get("/model/modelA") assert response.status_code == 200, response.text assert response.json() == { "name": "modelA", "description": "model-a-desc",
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docs/en/docs/advanced/response-cookies.md
{!../../../docs_src/response_cookies/tutorial002.py!} ``` And then you can return any object you need, as you normally would (a `dict`, a database model, etc). And if you declared a `response_model`, it will still be used to filter and convert the object you returned.
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docs/en/docs/tutorial/header-params.md
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