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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) -
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) -
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
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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 - 6K bytes - Viewed (0) -
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.
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docs/de/docs/features.md
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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`.
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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;
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tests/test_tutorial/test_request_forms_and_files/test_tutorial001_an.py
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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.
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