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  1. docs_src/request_files/tutorial002_py39.py

    
    @app.get("/")
    async def main():
        content = """
    <body>
    <form action="/files/" enctype="multipart/form-data" method="post">
    <input name="files" type="file" multiple>
    <input type="submit">
    </form>
    <form action="/uploadfiles/" enctype="multipart/form-data" method="post">
    <input name="files" type="file" multiple>
    <input type="submit">
    </form>
    </body>
        """
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Fri May 13 23:38:22 GMT 2022
    - 786 bytes
    - Viewed (0)
  2. docs_src/request_files/tutorial003_py39.py

    
    @app.get("/")
    async def main():
        content = """
    <body>
    <form action="/files/" enctype="multipart/form-data" method="post">
    <input name="files" type="file" multiple>
    <input type="submit">
    </form>
    <form action="/uploadfiles/" enctype="multipart/form-data" method="post">
    <input name="files" type="file" multiple>
    <input type="submit">
    </form>
    </body>
        """
    Python
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Fri May 13 23:38:22 GMT 2022
    - 888 bytes
    - Viewed (0)
  3. docs/en/docs/reference/websockets.md

    # WebSockets
    
    When defining WebSockets, you normally declare a parameter of type `WebSocket` and with it you can read data from the client and send data to it.
    
    It is provided directly by Starlette, but you can import it from `fastapi`:
    
    ```python
    from fastapi import WebSocket
    ```
    
    !!! tip
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  4. tests/test_tutorial/test_response_model/test_tutorial006.py

                                    }
                                },
                            },
                        },
                        "summary": "Read Item Public Data",
                        "operationId": "read_item_public_data_items__item_id__public_get",
                        "parameters": [
                            {
                                "required": True,
    Python
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Fri Aug 04 20:47:07 GMT 2023
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  5. docs/ru/docs/tutorial/request-files.md

    `UploadFile` имеет следующие методы `async`. Все они вызывают соответствующие файловые методы (используя внутренний SpooledTemporaryFile).
    
    * `write(data)`: Записать данные `data` (`str` или `bytes`) в файл.
    * `read(size)`: Прочитать количество `size` (`int`) байт/символов из файла.
    * `seek(offset)`: Перейти к байту на позиции `offset` (`int`) в файле.
    Plain Text
    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Wed Mar 13 19:02:19 GMT 2024
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  6. docs/de/docs/features.md

    ```Python
    my_user: User = User(id=3, name="John Doe", joined="2018-07-19")
    
    second_user_data = {
        "id": 4,
        "name": "Mary",
        "joined": "2018-11-30",
    }
    
    my_second_user: User = User(**second_user_data)
    ```
    
    !!! info
        `**second_user_data` bedeutet:
    
    Plain Text
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    - Last Modified: Sat Mar 30 19:43:43 GMT 2024
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  7. docs/en/docs/tutorial/body-multiple-params.md

    It will perform the validation of the compound data, and will document it like that for the OpenAPI schema and automatic docs.
    
    ## Singular values in body
    
    The same way there is a `Query` and `Path` to define extra data for query and path parameters, **FastAPI** provides an equivalent `Body`.
    
    Plain Text
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    - Last Modified: Tue Oct 17 05:59:11 GMT 2023
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  8. docs/zh/docs/tutorial/request-files.md

    `UploadFile` 支持以下 `async` 方法,(使用内部 `SpooledTemporaryFile`)可调用相应的文件方法。
    
    * `write(data)`:把 `data` (`str` 或 `bytes`)写入文件;
    * `read(size)`:按指定数量的字节或字符(`size` (`int`))读取文件内容;
    * `seek(offset)`:移动至文件 `offset` (`int`)字节处的位置;
        * 例如,`await myfile.seek(0) ` 移动到文件开头;
        * 执行 `await myfile.read()` 后,需再次读取已读取内容时,这种方法特别好用;
    Plain Text
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    - Last Modified: Wed Mar 13 19:02:19 GMT 2024
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  9. tests/test_tutorial/test_request_forms_and_files/test_tutorial001_an.py

                        "type": "value_error.missing",
                    },
                ]
            }
        )
    
    
    def test_post_form_no_file(client: TestClient):
        response = client.post("/files/", data={"token": "foo"})
        assert response.status_code == 422, response.text
        assert response.json() == IsDict(
            {
                "detail": [
                    {
                        "type": "missing",
    Python
    - Registered: Sun Apr 28 07:19:10 GMT 2024
    - Last Modified: Thu Apr 18 19:40:57 GMT 2024
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  10. docs/en/docs/how-to/async-sql-encode-databases.md

    * Notes to be created (`NoteIn`).
    * Notes to be returned (`Note`).
    
    ```Python hl_lines="31-33  36-39"
    {!../../../docs_src/async_sql_databases/tutorial001.py!}
    ```
    
    By creating these Pydantic models, the input data will be validated, serialized (converted), and annotated (documented).
    
    So, you will be able to see it all in the interactive API docs.
    
    ## Connect and disconnect
    
    * Create your `FastAPI` application.
    Plain Text
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    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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