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docs/ko/docs/deployment/docker.md
# (1) 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
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docs/zh/docs/deployment/docker.md
# (1) 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
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docs/ru/docs/deployment/docker.md
# (1) 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
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docs/em/docs/deployment/docker.md
# (1) 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
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docs/ja/docs/deployment/docker.md
# (1) 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
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docs/pt/docs/deployment/docker.md
# (11) CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"] ``` 1. Esse é o primeiro estágio, ele é chamado `requirements-stage`. 2. Defina `/tmp` como o diretório de trabalho atual. Aqui é onde geraremos o arquivo `requirements.txt` 3. Instale o Poetry nesse estágio do Docker. 4. Copie os arquivos `pyproject.toml` e `poetry.lock` para o diretório `/tmp`.
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docs/en/docs/deployment/docker.md
When using Poetry, it would make sense to use **Docker multi-stage builds** because you don't really need to have Poetry and its dependencies installed in the final container image, you **only need** to have the generated `requirements.txt` file to install your project dependencies. Then in the next (and final) stage you would build the image more or less in the same way as described before.
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docs/de/docs/deployment/docker.md
# (1) 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
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