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.idea .ipynb_checkpoints .mypy_cache .vscode __pycache__ .pytest_cache htmlcov dist site .coverage coverage.xml .netlify test.db log.txt Pipfile.lock env3.* env docs_build site_build venv docs.zip archive.zip # vim temporary files *~ .*.sw? .cache # macOS
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docs/pt/docs/tutorial/background-tasks.md
```Python hl_lines="13 15 22 25" {!../../../docs_src/background_tasks/tutorial002.py!} ``` Neste exemplo, as mensagens serão gravadas no arquivo `log.txt` _após_ o envio da resposta. Se houver uma consulta na solicitação, ela será gravada no log em uma tarefa em segundo plano. E então outra tarefa em segundo plano gerada na _função de operação de caminho_ escreverá uma mensagem usando o parâmetro de caminho `email`.
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docs/de/docs/tutorial/background-tasks.md
{!> ../../../docs_src/background_tasks/tutorial002.py!} ``` In obigem Beispiel werden die Nachrichten, *nachdem* die Response gesendet wurde, in die Datei `log.txt` geschrieben. Wenn im Request ein Query-Parameter enthalten war, wird dieser in einem Hintergrundtask in das Log geschrieben. Und dann schreibt ein weiterer Hintergrundtask, der in der *Pfadoperation-Funktion* erstellt wird, eine Nachricht unter Verwendung des Pfad-Parameters `email`.
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docs/ja/docs/tutorial/background-tasks.md
**FastAPI** は、それぞれの場合の処理方法と同じオブジェクトの再利用方法を知っているため、すべてのバックグラウンドタスクがマージされ、バックグラウンドで後で実行されます。 ```Python hl_lines="13 15 22 25" {!../../../docs_src/background_tasks/tutorial002.py!} ``` この例では、レスポンスが送信された *後* にメッセージが `log.txt` ファイルに書き込まれます。 リクエストにクエリがあった場合、バックグラウンドタスクでログに書き込まれます。 そして、*path operations 関数* で生成された別のバックグラウンドタスクは、`email` パスパラメータを使用してメッセージを書き込みます。 ## 技術的な詳細
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docs/en/docs/tutorial/security/get-current-user.md
Do you want to just have a `str`? Or just a `dict`? Or a database class model instance directly? It all works the same way. You actually don't have users that log in to your application but robots, bots, or other systems, that have just an access token? Again, it all works the same.
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docs/fr/docs/tutorial/background-tasks.md
``` Dans cet exemple, les messages seront écrits dans le fichier `log.txt` après que la réponse soit envoyée. S'il y avait une `query` (paramètre nommé `q`) dans la requête, alors elle sera écrite dans `log.txt` via une tâche d'arrière-plan. Et ensuite une autre tâche d'arrière-plan (générée dans les paramètres de la *la fonction de chemin*) écrira un message dans `log.txt` comprenant le paramètre de chemin `email`. ## Détails techniques
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docs/de/docs/advanced/events.md
```Python hl_lines="6" {!../../../docs_src/events/tutorial002.py!} ``` Hier schreibt die `shutdown`-Eventhandler-Funktion eine Textzeile `"Application shutdown"` in eine Datei `log.txt`. !!! info In der Funktion `open()` bedeutet `mode="a"` „append“ („anhängen“), sodass die Zeile nach dem, was sich in dieser Datei befindet, hinzugefügt wird, ohne den vorherigen Inhalt zu überschreiben.
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docs/pt/docs/advanced/events.md
```Python hl_lines="6" {!../../../docs_src/events/tutorial002.py!} ``` Aqui, a função de manipulação de evento `shutdown` irá escrever uma linha de texto `"Application shutdown"` no arquivo `log.txt`. !!! info "Informação" Na função `open()`, o `mode="a"` significa "acrescentar", então, a linha irá ser adicionada depois de qualquer coisa que esteja naquele arquivo, sem sobrescrever o conteúdo anterior.
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docs/en/docs/tutorial/security/first-steps.md
* A "token" is just a string with some content that we can use later to verify this user. * Normally, a token is set to expire after some time. * So, the user will have to log in again at some point later. * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases). * The frontend stores that token temporarily somewhere.
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docs/pt/docs/tutorial/handling-errors.md
`RequestValidationError` é uma subclasse do <a href="https://docs.pydantic.dev/latest/#error-handling" class="external-link" target="_blank">`ValidationError`</a> existente no Pydantic. **FastAPI** faz uso dele para que você veja o erro no seu log, caso você utilize um modelo de Pydantic em `response_model`, e seus dados tenham erro. Contudo, o cliente ou usuário não terão acesso a ele. Ao contrário, o cliente receberá um "Internal Server Error" com o HTTP status code `500`.
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