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docs/en/docs/benchmarks.md
* **FastAPI**: (uses Starlette) an API microframework with several additional features for building APIs, with data validation, etc. * **Uvicorn**: * Will have the best performance, as it doesn't have much extra code apart from the server itself.
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docs/en/docs/contributing.md
``` </div> as Uvicorn by default will use the port `8000`, the documentation on port `8008` won't clash. ### Translations Help with translations is VERY MUCH appreciated! And it can't be done without the help from the community. 🌎 🚀 Here are the steps to help with translations. #### Tips and guidelines
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tests/test_tutorial/test_body/test_tutorial001_py310.py
from unittest.mock import patch import pytest from dirty_equals import IsDict from fastapi.testclient import TestClient from ...utils import needs_py310 @pytest.fixture def client(): from docs_src.body.tutorial001_py310 import app client = TestClient(app) return client @needs_py310 def test_body_float(client: TestClient): response = client.post("/items/", json={"name": "Foo", "price": 50.5})
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tests/test_tutorial/test_body/test_tutorial001.py
from unittest.mock import patch import pytest from dirty_equals import IsDict from fastapi.testclient import TestClient @pytest.fixture def client(): from docs_src.body.tutorial001 import app client = TestClient(app) return client def test_body_float(client: TestClient): response = client.post("/items/", json={"name": "Foo", "price": 50.5}) assert response.status_code == 200
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docs/en/docs/deployment/manually.md
```Python from main import app ``` !!! warning Uvicorn and others support a `--reload` option that is useful during development. The `--reload` option consumes much more resources, is more unstable, etc. It helps a lot during **development**, but you **shouldn't** use it in **production**. ## Hypercorn with Trio
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docs/en/docs/tutorial/response-model.md
FastAPI does several things internally with Pydantic to make sure that those same rules of class inheritance are not used for the returned data filtering, otherwise you could end up returning much more data than what you expected. This way, you can get the best of both worlds: type annotations with **tooling support** and **data filtering**. ## See it in the docs
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docs/en/docs/alternatives.md
And it generates OpenAPI schemas. That's how it works in Flask, Starlette, Responder, etc. But then, we have again the problem of having a micro-syntax, inside of a Python string (a big YAML). The editor can't help much with that. And if we modify parameters or Marshmallow schemas and forget to also modify that YAML docstring, the generated schema would be obsolete. !!! info APISpec was created by the same Marshmallow developers.
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SECURITY.md
## Public Discussions Please restrain from publicly discussing a potential security vulnerability. 🙊 It's better to discuss privately and try to find a solution first, to limit the potential impact as much as possible. --- Thanks for your help!
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docs/en/docs/history-design-future.md
That way I could find the best ways to reduce code duplication as much as possible, to have completion everywhere, type and error checks, etc. All in a way that provided the best development experience for all the developers. ## Requirements
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docs/en/docs/help-fastapi.md
* There's also a good chance that the pull request is not actually needed because the problem can be solved in a **different way**. Then you can suggest or ask about that. ### Don't worry about style * Don't worry too much about things like commit message styles, I will squash and merge customizing the commit manually. * Also don't worry about style rules, there are already automatized tools checking that.
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