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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/fr/docs/advanced/additional-responses.md
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docs/en/docs/tutorial/path-params.md
```JSON {"item_id":3} ``` !!! check Notice that the value your function received (and returned) is `3`, as a Python `int`, not a string `"3"`. So, with that type declaration, **FastAPI** gives you automatic request <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>. ## Data validation
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docs/fr/docs/tutorial/path-params.md
# Paramètres de chemin Vous pouvez déclarer des "paramètres" ou "variables" de chemin avec la même syntaxe que celle utilisée par le <a href="https://docs.python.org/fr/3/library/string.html#format-string-syntax" class="external-link" target="_blank">formatage de chaîne Python</a> : ```Python hl_lines="6-7" {!../../../docs_src/path_params/tutorial001.py!} ``` La valeur du paramètre `item_id` sera transmise à la fonction dans l'argument `item_id`.
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docs/en/docs/advanced/testing-database.md
├── __init__.py └── test_sql_app.py ``` ## Create the new database session First, we create a new database session with the new database. We'll use an in-memory database that persists during the tests instead of the local file `sql_app.db`. But the rest of the session code is more or less the same, we just copy it. ```Python hl_lines="8-13" {!../../../docs_src/sql_databases/sql_app/tests/test_sql_app.py!}
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docs/es/docs/advanced/response-directly.md
Digamos que quieres devolver una respuesta <a href="https://en.wikipedia.org/wiki/XML" class="external-link" target="_blank">XML</a>. Podrías poner tu contenido XML en un string, ponerlo en una `Response` y devolverlo: ```Python hl_lines="1 18" {!../../../docs_src/response_directly/tutorial002.py!} ``` ## Notas
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docs/em/docs/tutorial/metadata.md
## 🗃 🛠️ 👆 💪 ⚒ 📄 🏑 👈 ⚙️ 🗄 🔧 & 🏧 🛠️ 🩺 ⚜: | 🔢 | 🆎 | 📛 | |------------|------|-------------| | `title` | `str` | 📛 🛠️. | | `description` | `str` | 📏 📛 🛠️. ⚫️ 💪 ⚙️ ✍. | | `version` | `string` | ⏬ 🛠️. 👉 ⏬ 👆 👍 🈸, 🚫 🗄. 🖼 `2.5.0`. | | `terms_of_service` | `str` | 📛 ⚖ 🐕🦺 🛠️. 🚥 🚚, 👉 ✔️ 📛. |
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docs/en/docs/tutorial/testing.md
!!! info Note that the `TestClient` receives data that can be converted to JSON, not Pydantic models. If you have a Pydantic model in your test and you want to send its data to the application during testing, you can use the `jsonable_encoder` described in [JSON Compatible Encoder](encoder.md){.internal-link target=_blank}. ## Run it After that, you just need to install `pytest`: <div class="termy">
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docs/em/docs/advanced/nosql-databases.md
```Python hl_lines="36-42" {!../../../docs_src/nosql_databases/tutorial001.py!} ``` ### Ⓜ-🎻 🚥 👆 🚫 😰 ⏮️ `f"userprofile::{username}"`, ⚫️ 🐍 "<a href="https://docs.python.org/3/glossary.html#term-f-string" class="external-link" target="_blank">Ⓜ-🎻</a>". 🙆 🔢 👈 🚮 🔘 `{}` Ⓜ-🎻 🔜 ↔ / 💉 🎻. ### `dict` 🏗
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docs/en/docs/alternatives.md
Another big feature needed by APIs is data validation, making sure that the data is valid, given certain parameters. For example, that some field is an `int`, and not some random string. This is especially useful for incoming data. Without a data validation system, you would have to do all the checks by hand, in code.
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