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docs/en/docs/benchmarks.md
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docs/en/docs/tutorial/path-params.md
``` In your client you will get a JSON response like: ```JSON { "model_name": "alexnet", "message": "Deep Learning FTW!" } ``` ## Path parameters containing paths Let's say you have a *path operation* with a path `/files/{file_path}`. But you need `file_path` itself to contain a *path*, like `home/johndoe/myfile.txt`.
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docs/ko/docs/tutorial/request-files.md
* 따라서 이미지, 동영상, 큰 이진코드와 같은 대용량 파일들을 많은 메모리를 소모하지 않고 처리하기에 적합합니다. * 업로드 된 파일의 메타데이터를 얻을 수 있습니다. * <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` 인터페이스를 갖고 있습니다.
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docs/en/docs/deployment/manually.md
The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command. There are several alternatives, including:
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docs/em/docs/tutorial/request-files.md
* ⚫️ ⚙️ "🧵" 📁: * 📁 🏪 💾 🆙 🔆 📐 📉, & ⏮️ 🚶♀️ 👉 📉 ⚫️ 🔜 🏪 💾. * 👉 ⛓ 👈 ⚫️ 🔜 👷 👍 ⭕ 📁 💖 🖼, 📹, ⭕ 💱, ♒️. 🍵 😩 🌐 💾. * 👆 💪 🤚 🗃 ⚪️➡️ 📂 📁. * ⚫️ ✔️ <a href="https://docs.python.org/3/glossary.html#term-file-like-object" class="external-link" target="_blank">📁-💖</a> `async` 🔢.
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docs/zh/docs/tutorial/request-files.md
* 可获取上传文件的元数据; * 自带 <a href="https://docs.python.org/zh-cn/3/glossary.html#term-file-like-object" class="external-link" target="_blank">file-like</a> `async` 接口; * 暴露的 Python <a href="https://docs.python.org/zh-cn/3/library/tempfile.html#tempfile.SpooledTemporaryFile" class="external-link" target="_blank">`SpooledTemporaryFile`</a> 对象,可直接传递给其他预期「file-like」对象的库。 ### `UploadFile` `UploadFile` 的属性如下:
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docs_src/security/tutorial004.py
from fastapi.security import OAuth2PasswordBearer, OAuth2PasswordRequestForm from jose import JWTError, jwt from passlib.context import CryptContext from pydantic import BaseModel # to get a string like this run: # openssl rand -hex 32 SECRET_KEY = "09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7" ALGORITHM = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES = 30 fake_users_db = { "johndoe": {
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docs_src/security/tutorial004_an.py
from jose import JWTError, jwt from passlib.context import CryptContext from pydantic import BaseModel from typing_extensions import Annotated # to get a string like this run: # openssl rand -hex 32 SECRET_KEY = "09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7" ALGORITHM = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES = 30 fake_users_db = { "johndoe": {
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docs/en/docs/how-to/async-sql-encode-databases.md
Later, for your production application, you might want to use a database server like **PostgreSQL**. !!! tip You could adopt ideas from the section about SQLAlchemy ORM ([SQL (Relational) Databases](../tutorial/sql-databases.md){.internal-link target=_blank}), like using utility functions to perform operations in the database, independent of your **FastAPI** code.
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docs/en/docs/tutorial/testing.md
```Python hl_lines="3" {!../../../docs_src/app_testing/test_main.py!} ``` ...and have the code for the tests just like before. ## Testing: extended example Now let's extend this example and add more details to see how to test different parts. ### Extended **FastAPI** app file
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