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docs/en/docs/tutorial/middleware.md
* Then it returns the **response**. !!! note "Technical Details" If you have dependencies with `yield`, the exit code will run *after* the middleware. If there were any background tasks (documented later), they will run *after* all the middleware. ## Create a middleware To create a middleware you use the decorator `@app.middleware("http")` on top of a function.
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docs/en/docs/reference/background.md
# Background Tasks - `BackgroundTasks` You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent. You can import it directly from `fastapi`: ```python from fastapi import BackgroundTasks ```
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docs/en/docs/contributing.md
This makes sure that if you use a terminal program installed by that package, you use the one from your local environment and not any other that could be installed globally. ### Install requirements using pip After activating the environment as described above: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% ``` </div>
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docs/en/docs/benchmarks.md
* If you are comparing Uvicorn, compare it against Daphne, Hypercorn, uWSGI, etc. Application servers. * **Starlette**: * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * But it provides you the tools to build simple web applications, with routing based on paths, etc.
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docs/en/docs/advanced/generate-clients.md
}, "author": "", "license": "", "devDependencies": { "@hey-api/openapi-ts": "^0.27.38", "typescript": "^4.6.2" } } ``` After having that NPM `generate-client` script there, you can run it with: <div class="termy"> ```console $ npm run generate-client frontend-app@1.0.0 generate-client /home/user/code/frontend-app
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docs/en/docs/advanced/testing-database.md
You could want to set up a different database for testing, rollback the data after the tests, pre-fill it with some testing data, etc. The main idea is exactly the same you saw in that previous chapter. ## Add tests for the SQL app
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docs/en/docs/alternatives.md
### Flask REST frameworks There are several Flask REST frameworks, but after investing the time and work into investigating them, I found that many are discontinued or abandoned, with several standing issues that made them unfit.
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docs/en/docs/tutorial/testing.md
## Run it After that, you just need to install `pytest`: <div class="termy"> ```console $ pip install pytest ---> 100% ``` </div>
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pyproject.toml
# TODO: remove after upgrading SQLAlchemy to a version that includes the following changes # https://github.com/sqlalchemy/sqlalchemy/commit/59521abcc0676e936b31a523bd968fc157fef0c2 'ignore:datetime\.datetime\.utcfromtimestamp\(\) is deprecated and scheduled for removal in a future version\..*:DeprecationWarning:sqlalchemy',
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docs/en/docs/deployment/https.md
* For this to work, a **single** component (program) running on the server, listening on the **public IP address**, must have **all the HTTPS certificates** in the server. * **After** obtaining a secure connection, the communication protocol is **still HTTP**. * The contents are **encrypted**, even though they are being sent with the **HTTP protocol**.
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