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fastapi/utils.py
operation_id = f"{operation_id}_{method.lower()}" return operation_id def generate_unique_id(route: "APIRoute") -> str: operation_id = f"{route.name}{route.path_format}" operation_id = re.sub(r"\W", "_", operation_id) assert route.methods operation_id = f"{operation_id}_{list(route.methods)[0].lower()}" return operation_id
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 7.8K bytes - Viewed (0) -
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/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/history-design-future.md
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tests/test_filter_pydantic_sub_model_pv2.py
class ModelC(ModelB): password: str class ModelA(BaseModel): name: str description: Optional[str] = None foo: ModelB @field_validator("name") def lower_username(cls, name: str, info: ValidationInfo): if not name.endswith("A"): raise ValueError("name must end in A") return name async def get_model_c() -> ModelC:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.3K bytes - Viewed (0) -
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/advanced/events.md
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docs/en/docs/tutorial/body.md
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