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docs/en/docs/tutorial/security/oauth2-jwt.md
That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.
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docs/ja/docs/tutorial/security/oauth2-jwt.md
## JWTトークンの取り扱い インストールした複数のモジュールをインポートします。 JWTトークンの署名に使用されるランダムな秘密鍵を生成します。 安全なランダム秘密鍵を生成するには、次のコマンドを使用します: <div class="termy"> ```console $ openssl rand -hex 32 09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7 ``` </div> そして、出力された文字列を変数`SECRET_KEY`にコピーします。(例に記載している秘密鍵は実際に使用しないでください)
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docs/de/docs/tutorial/security/oauth2-jwt.md
Um einen sicheren zufälligen geheimen Schlüssel zu generieren, verwenden Sie den folgenden Befehl: <div class="termy"> ```console $ openssl rand -hex 32 09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7 ``` </div> Und kopieren Sie die Ausgabe in die Variable `SECRET_KEY` (verwenden Sie nicht die im Beispiel).
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docs/en/docs/alternatives.md
As the parameters are described with TypeScript types (similar to Python type hints), editor support is quite good.
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docs/en/docs/deployment/concepts.md
case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc). On the other hand, if you have 2 servers and you are using **100% of their CPU and RAM**, at some point one process will ask for more memory, and the server will have to use the disk as "memory" (which can be thousands of times slower), or even **crash**. Or one process might need to do some computation and would have to wait until the CPU is free again....
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docs/en/docs/deployment/https.md
Then, using the certificate, the client and the TLS Termination Proxy **decide how to encrypt** the rest of the **TCP communication**. This completes the **TLS Handshake** part. After this, the client and the server have an **encrypted TCP connection**, this is what TLS provides. And then they can use that connection to start the actual **HTTP communication**.
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docs/en/docs/python-types.md
There are some data structures that can contain other values, like `dict`, `list`, `set` and `tuple`. And the internal values can have their own type too. These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types. To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints.
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docs/en/docs/tutorial/bigger-applications.md
And it will also have both responses in the documentation, one for `404` and one for `403`. ## The main `FastAPI` Now, let's see the module at `app/main.py`. Here's where you import and use the class `FastAPI`. This will be the main file in your application that ties everything together.
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.github/actions/notify-translations/app/main.py
# Avoid race conditions with multiple labels sleep_time = random.random() * 10 # random number between 0 and 10 seconds logging.info( f"Sleeping for {sleep_time} seconds to avoid " "race conditions and multiple comments" ) time.sleep(sleep_time) # Get PR logging.debug(f"Processing PR: #{github_event.pull_request.number}")
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docs/hu/docs/index.md
--- "_If anyone is looking to build a production Python API, I would highly recommend **FastAPI**. It is **beautifully designed**, **simple to use** and **highly scalable**, it has become a **key component** in our API first development strategy and is driving many automations and services such as our Virtual TAC Engineer._"
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