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docs/zh/docs/tutorial/sql-databases.md
该类的每个*实例对象都代表数据库中的一行数据。* 又例如,一个对象`orion_cat`(`Pet`的一个实例)可以有一个属性`orion_cat.type`, 对标数据库中的`type`列。并且该属性的值可以是其它,例如`"cat"`。 这些 ORM 还具有在表或实体之间建立关系的工具(比如创建多表关系)。 这样,您还可以拥有一个属性`orion_cat.owner`,它包含该宠物所有者的数据,这些数据取自另外一个表。 因此,`orion_cat.owner.name`可能是该宠物主人的姓名(来自表`owners`中的列`name`)。 它可能有一个像`"Arquilian"`(一种业务逻辑)。 当您尝试从您的宠物对象访问它时,ORM 将完成所有工作以从相应的表*所有者那里再获取信息。*
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docs/en/docs/advanced/dataclasses.md
Keep in mind that dataclasses can't do everything Pydantic models can do. So, you might still need to use Pydantic models. But if you have a bunch of dataclasses laying around, this is a nice trick to use them to power a web API using FastAPI. 🤓 ## Dataclasses in `response_model` You can also use `dataclasses` in the `response_model` parameter: ```Python hl_lines="1 7-13 19" {!../../../docs_src/dataclasses/tutorial002.py!}
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docs/em/docs/tutorial/sql-databases.md
🖼 🎚 `orion_cat` (👐 `Pet`) 💪 ✔️ 🔢 `orion_cat.type`, 🏓 `type`. & 💲 👈 🔢 💪, ✅ `"cat"`. 👫 🐜 ✔️ 🧰 ⚒ 🔗 ⚖️ 🔗 🖖 🏓 ⚖️ 👨💼. 👉 🌌, 👆 💪 ✔️ 🔢 `orion_cat.owner` & 👨💼 🔜 🔌 💽 👉 🐶 👨💼, ✊ ⚪️➡️ 🏓 *👨💼*. , `orion_cat.owner.name` 💪 📛 (⚪️➡️ `name` 🏓 `owners` 🏓) 👉 🐶 👨💼. ⚫️ 💪 ✔️ 💲 💖 `"Arquilian"`. & 🐜 🔜 🌐 👷 🤚 ℹ ⚪️➡️ 🔗 🏓 *👨💼* 🕐❔ 👆 🔄 🔐 ⚫️ ⚪️➡️ 👆 🐶 🎚.
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docs/en/docs/fastapi-people.md
## Top Translation Reviewers These users are the **Top Translation Reviewers**. 🕵️ I only speak a few languages (and not very well 😅). So, the reviewers are the ones that have the [**power to approve translations**](contributing.md#translations){.internal-link target=_blank} of the documentation. Without them, there wouldn't be documentation in several other languages. {% if people %}
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docs/en/docs/deployment/concepts.md
If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc. In that case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).
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docs/de/docs/tutorial/response-model.md
Aber Sie möchten diese vielleicht vom Resultat ausschließen, wenn Sie gar nicht gesetzt wurden. Wenn Sie zum Beispiel Modelle mit vielen optionalen Attributen in einer NoSQL-Datenbank haben, und Sie möchten nicht ellenlange JSON-Responses voller Defaultwerte senden. ### Den `response_model_exclude_unset`-Parameter verwenden Sie können den *Pfadoperation-Dekorator*-Parameter `response_model_exclude_unset=True` setzen: === "Python 3.10+"
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docs/en/docs/release-notes.md
data = { "plumbus": {"description": "Freshly pickled plumbus", "owner": "Morty"}, "portal-gun": {"description": "Gun to create portals", "owner": "Rick"}, } class OwnerError(Exception): pass def get_username(): try: yield "Rick" except OwnerError as e: raise HTTPException(status_code=400, detail=f"Owner error: {e}") @app.get("/items/{item_id}")
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docs/en/docs/tutorial/body-nested-models.md
``` ### Declare a `list` with a type parameter To declare types that have type parameters (internal types), like `list`, `dict`, `tuple`: * If you are in a Python version lower than 3.9, import their equivalent version from the `typing` module * Pass the internal type(s) as "type parameters" using square brackets: `[` and `]` In Python 3.9 it would be: ```Python my_list: list[str] ```
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docs/en/docs/help-fastapi.md
There you could buy me a coffee ☕️ to say thanks. 😄 And you can also become a Silver or Gold sponsor for FastAPI. 🏅🎉 ## Sponsor the tools that power FastAPI As you have seen in the documentation, FastAPI stands on the shoulders of giants, Starlette and Pydantic. You can also sponsor:
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docs/en/docs/how-to/sql-databases-peewee.md
It will automatically add an `id` attribute as an integer to be the primary key. It will chose the name of the tables based on the class names. For the `Item`, it will create an attribute `owner_id` with the integer ID of the `User`. But we don't declare it anywhere. ## Create the Pydantic models Now let's check the file `sql_app/schemas.py`. !!! tip
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