-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathDockerfile
109 lines (88 loc) · 4.02 KB
/
Dockerfile
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
#
# Multistage dockerfile to deal with different execution scenarios
# ref.: https://docs.docker.com/develop/develop-images/multistage-build/
#
# Ref.: https://docs.python.org/3/using/cmdline.html
FROM python:3.12-slim-bullseye AS python-base
ENV PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
POETRY_HOME="/opt/poetry" \
POETRY_VIRTUALENVS_IN_PROJECT=true \
POETRY_NO_INTERACTION=1 \
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv"
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
# builder-base is used to build dependencies
FROM python-base AS builder-base
RUN buildDeps="build-essential" \
&& apt-get update \
&& apt-get install --no-install-recommends -y \
curl \
vim \
netcat \
&& apt-get install -y --no-install-recommends $buildDeps \
&& rm -rf /var/lib/apt/lists/*
# Install Poetry - respects $POETRY_VERSION & $POETRY_HOME
ENV POETRY_VERSION=1.8.3
SHELL ["/bin/bash", "-o", "pipefail", "-c"]
RUN curl -sSL https://install.python-poetry.org | POETRY_HOME=${POETRY_HOME} python3 - --version ${POETRY_VERSION} && \
chmod a+x /opt/poetry/bin/poetry
# # We copy our Python requirements here to cache them
# # and install only runtime deps using poetry
WORKDIR $PYSETUP_PATH
COPY ./poetry.lock ./pyproject.toml ./
RUN poetry install --only main
# # 'development' stage installs all dev deps and can be used to develop code.
# # For example using docker-compose to mount local volume under /app
FROM python-base AS development
ENV FASTAPI_ENV=development
# # Copying poetry and venv into image
COPY --from=builder-base $POETRY_HOME $POETRY_HOME
COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH
# # Copying in our entrypoint
COPY docker-entrypoint.sh /docker-entrypoint.sh
RUN chmod +x /docker-entrypoint.sh
# # venv already has runtime deps installed we get a quicker install
WORKDIR $PYSETUP_PATH
RUN poetry install
WORKDIR /app
COPY . .
EXPOSE 8000
ENTRYPOINT /docker-entrypoint.sh $0 $@
CMD ["uvicorn", "--reload", "--host=0.0.0.0", "--port=8000", "minimal_fastapi.main:app"]
# # 'lint' stage runs black and isort
# # running in check mode means build will fail if any linting errors occur
FROM development AS lint
RUN black --config ./pyproject.toml --check minimal_fastapi tests
RUN isort --settings-path ./pyproject.toml --recursive --check-only
CMD ["tail", "-f", "/dev/null"]
################################################################################
#### PRODUCTION CONF ####
#### ref.: https://www.uvicorn.org/#running-with-gunicorn ####
#### From uvicorn docs : ####
#### "For production deployments we recommend using gunicorn ####
#### with the uvicorn worker class". Gunicorn's fully-featured process ####
#### management. It allows to increase or decrease the number of worker ####
#### processes on the fly, restart worker processes gracefully, or ####
#### perform server upgrades without downtime. ####
#### ####
################################################################################
# # 'production' stage uses the clean 'python-base' stage and copyies
# # in only our runtime deps that were installed in the 'builder-base'
FROM python-base AS production
ENV FASTAPI_ENV=production
COPY --from=builder-base $VENV_PATH $VENV_PATH
COPY gunicorn_conf.py /gunicorn_conf.py
COPY docker-entrypoint.sh /docker-entrypoint.sh
RUN chmod +x /docker-entrypoint.sh
# # Create user with the name poetry
RUN groupadd -g 1500 poetry && \
useradd -m -u 1500 -g poetry poetry
COPY --chown=poetry:poetry ./minimal_fastapi /app
USER poetry
WORKDIR /app
ENTRYPOINT /docker-entrypoint.sh $0 $@
CMD [ "gunicorn", "--worker-class uvicorn.workers.UvicornWorker", "--config /gunicorn_conf.py", "main:app"]