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docs/en/docs/alternatives.md
It used custom types in its declarations instead of standard Python types, but it was still a huge step forward. It also was one of the first frameworks to generate a custom schema declaring the whole API in JSON. It was not based on a standard like OpenAPI and JSON Schema. So it wouldn't be straightforward to integrate it with other tools, like Swagger UI. But again, it was a very innovative idea.
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docs/en/docs/benchmarks.md
* **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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docs/en/docs/tutorial/middleware.md
* It takes each **request** that comes to your application. * It can then do something to that **request** or run any needed code. * Then it passes the **request** to be processed by the rest of the application (by some *path operation*).
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docs/en/docs/advanced/behind-a-proxy.md
You can check it at <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>: <img src="/img/tutorial/behind-a-proxy/image01.png"> But if we access the docs UI at the "official" URL using the proxy with port `9999`, at `/api/v1/docs`, it works correctly! 🎉
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docs/en/docs/contributing.md
```console $ pip install -r requirements.txt ---> 100% ``` </div> It will install all the dependencies and your local FastAPI in your local environment. ### Using your local FastAPI If you create a Python file that imports and uses FastAPI, and run it with the Python from your local environment, it will use your cloned local FastAPI source code.
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docs/en/docs/tutorial/testing.md
It is based on <a href="https://www.python-httpx.org" class="external-link" target="_blank">HTTPX</a>, which in turn is designed based on Requests, so it's very familiar and intuitive. With it, you can use <a href="https://docs.pytest.org/" class="external-link" target="_blank">pytest</a> directly with **FastAPI**.
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docs/en/docs/tutorial/response-model.md
* Add a **JSON Schema** for the response, in the OpenAPI *path operation*. * This will be used by the **automatic docs**.
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docs/en/docs/advanced/generate-clients.md
#### Generate Client Code To generate the client code you can use the command line application `openapi-ts` that would now be installed. Because it is installed in the local project, you probably wouldn't be able to call that command directly, but you would put it on your `package.json` file. It could look like this: ```JSON hl_lines="7" { "name": "frontend-app", "version": "1.0.0", "description": "", "main": "index.js",
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docs/en/docs/advanced/testing-database.md
```Python hl_lines="8-13" {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!} ``` !!! tip You could reduce duplication in that code by putting it in a function and using it from both `database.py` and `tests/test_sql_app.py`. For simplicity and to focus on the specific testing code, we are just copying it. ## Create the database
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docs/en/docs/how-to/graphql.md
# GraphQL As **FastAPI** is based on the **ASGI** standard, it's very easy to integrate any **GraphQL** library also compatible with ASGI. You can combine normal FastAPI *path operations* with GraphQL on the same application. !!! tip **GraphQL** solves some very specific use cases. It has **advantages** and **disadvantages** when compared to common **web APIs**.
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