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docs/zh/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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docs/ko/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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docs/pt/docs/deployment/docker.md
E você normalmente instalaria essas dependências de pacote com `pip`, por exemplo: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic uvicorn ``` </div> !!! info Há outros formatos e ferramentas para definir e instalar dependências de pacote. Eu vou mostrar um exemplo depois usando Poetry em uma seção abaixo. 👇
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docs/ru/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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docs/fr/docs/deployment/docker.md
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docs/em/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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docs/ja/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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docs/en/docs/deployment/docker.md
fastapi>=0.112.0,<0.113.0 pydantic>=2.7.0,<3.0.0 ``` And you would normally install those package dependencies with `pip`, for example: <div class="termy"> ```console $ pip install -r requirements.txt ---> 100% Successfully installed fastapi pydantic ``` </div> !!! info There are other formats and tools to define and install package dependencies. ### Create the **FastAPI** Code
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docs/de/docs/deployment/docker.md
# (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) RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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