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docs/en/docs/advanced/generate-clients.md
FastAPI uses a **unique ID** for each *path operation*, it is used for the **operation ID** and also for the names of any needed custom models, for requests or responses. You can customize that function. It takes an `APIRoute` and outputs a string. For example, here it is using the first tag (you will probably have only one tag) and the *path operation* name (the function name).
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.github/workflows/test.yml
key: ${{ runner.os }}-python-${{ env.pythonLocation }}-pydantic-v2-${{ hashFiles('pyproject.toml', 'requirements-tests.txt', 'requirements-docs-tests.txt') }}-test-v08 - name: Install Dependencies if: steps.cache.outputs.cache-hit != 'true' run: pip install -r requirements-tests.txt - name: Install Pydantic v2 run: pip install "pydantic>=2.0.2,<3.0.0" - name: Lint run: bash scripts/lint.sh test:
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docs/en/docs/tutorial/response-model.md
!!! danger Never store the plain password of a user or send it in a response like this, unless you know all the caveats and you know what you are doing. ## Add an output model We can instead create an input model with the plaintext password and an output model without it: === "Python 3.10+" ```Python hl_lines="9 11 16" {!> ../../../docs_src/response_model/tutorial003_py310.py!} ```
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docs/en/docs/tutorial/first-steps.md
<font color="#4E9A06">INFO</font>: Waiting for application startup. <font color="#4E9A06">INFO</font>: Application startup complete. ``` </div> In the output, there's a line with something like: ```hl_lines="4" INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit) ``` That line shows the URL where your app is being served, in your local machine.
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docs/it/docs/index.md
* JSON. * Path parameters. * Query parameters. * Cookies. * Headers. * Form. * File. * <abbr title="detta anche: serialization, parsing, marshalling">Conversione</abbr> dei dati di output: converte dati e tipi di Python a dati per la rete (come JSON): * Converte i tipi di Python (`str`, `int`, `float`, `bool`, `list`, ecc). * Oggetti `datetime`. * Oggetti `UUID`. * Modelli del database.
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docs/ru/docs/deployment/docker.md
FROM python:3.9 as requirements-stage # (2) WORKDIR /tmp # (3) RUN pip install poetry # (4) COPY ./pyproject.toml ./poetry.lock* /tmp/ # (5) RUN poetry export -f requirements.txt --output requirements.txt --without-hashes # (6) FROM python:3.9 # (7) WORKDIR /code # (8) COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt # (9)
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docs/fr/docs/async.md
Ce "attendre quelque chose d'autre" fait généralement référence à des opérations <abbr title="Input/Output ou Entrées et Sorties ">I/O</abbr> qui sont relativement "lentes" (comparées à la vitesse du processeur et de la mémoire RAM) telles qu'attendre que : * de la donnée soit envoyée par le client à travers le réseau
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docs/en/docs/how-to/async-sql-encode-databases.md
### Notice the `response_model=List[Note]` It uses `typing.List`. That documents (and validates, serializes, filters) the output data, as a `list` of `Note`s. ## Create notes Create the *path operation function* to create notes: ```Python hl_lines="61-65" {!../../../docs_src/async_sql_databases/tutorial001.py!} ```
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docs/en/docs/tutorial/metadata.md
You can set them as follows: ```Python hl_lines="3-16 19-32" {!../../../docs_src/metadata/tutorial001.py!} ``` !!! tip You can write Markdown in the `description` field and it will be rendered in the output. With this configuration, the automatic API docs would look like: <img src="/img/tutorial/metadata/image01.png"> ## License identifier
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docs/de/docs/advanced/events.md
!!! tip "Tipp" Beachten Sie, dass wir in diesem Fall eine Standard-Python-Funktion `open()` verwenden, die mit einer Datei interagiert. Es handelt sich also um I/O (Input/Output), welches „Warten“ erfordert, bis Dinge auf die Festplatte geschrieben werden. Aber `open()` verwendet nicht `async` und `await`.
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