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Docker file for Poetry
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.git | |
__pycache__ | |
app/static |
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# syntax=docker/dockerfile:1 | |
FROM python:3.9.7-slim-bullseye as base | |
# Required for psycopg2 client in the final application | |
RUN apt-get update && apt-get install --no-install-recommends -y libpq5 | |
# The installation in the final layer is done with pip and don't use a Debian gunicorn | |
RUN pip install -U pip gunicorn | |
# Builder layer | |
FROM base AS builder | |
ENV PYTHONFAULTHANDLER=1 \ | |
PYTHONUNBUFFERED=1 \ | |
PYTHONHASHSEED=random \ | |
PIP_NO_CACHE_DIR=off \ | |
PIP_DISABLE_PIP_VERSION_CHECK=on \ | |
PIP_DEFAULT_TIMEOUT=100 \ | |
POETRY_NO_INTERACTION=1 \ | |
POETRY_VIRTUALENVS_CREATE=false \ | |
PATH="$PATH:/runtime/bin" \ | |
PYTHONPATH="$PYTHONPATH:/runtime/lib/python3.9/site-packages" \ | |
# It's recommanded to lock Poetry version | |
POETRY_VERSION=1.1.8 | |
# System dependencies | |
RUN apt-get update && apt-get install --no-install-recommends -y \ | |
build-essential \ | |
unzip \ | |
wget \ | |
python-dev \ | |
libpq-dev \ | |
libffi-dev | |
RUN pip install "poetry==$POETRY_VERSION" | |
WORKDIR /src | |
# Generate requirements and install *all* dependencies. | |
COPY pyproject.toml poetry.lock /src/ | |
RUN poetry export --dev --without-hashes --no-interaction --no-ansi -f requirements.txt -o requirements.txt | |
RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt | |
COPY . /src | |
FROM base AS runtime | |
COPY --from=builder /runtime /usr/local | |
WORKDIR /code | |
# Explicit copy of required files for the runtime of my application | |
# I also set a list of subdirectories to not include in .dockerignore (static assets, etc). | |
COPY alembic alembic | |
COPY alembic.ini . | |
COPY app app | |
COPY docker/gunicorn_conf.py gunicorn_conf.py | |
# Could be the right place to copy not secret production settings | |
CMD ["alembic", "upgrade", "head"] | |
CMD ["gunicorn", "-k", "uvicorn.workers.UvicornWorker", "-c", "gunicorn_conf.py", "app.main:app"] |
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# From https://github.com/tiangolo/uvicorn-gunicorn-docker/blob/master/docker-images/gunicorn_conf.py | |
import json | |
import multiprocessing | |
import os | |
workers_per_core_str = os.getenv("WORKERS_PER_CORE", "1") | |
max_workers_str = os.getenv("MAX_WORKERS") | |
use_max_workers = None | |
if max_workers_str: | |
use_max_workers = int(max_workers_str) | |
web_concurrency_str = os.getenv("WEB_CONCURRENCY", None) | |
host = os.getenv("HOST", "0.0.0.0") | |
port = os.getenv("PORT", "8080") | |
bind_env = os.getenv("BIND", None) | |
use_loglevel = os.getenv("LOG_LEVEL", "info") | |
if bind_env: | |
use_bind = bind_env | |
else: | |
use_bind = f"{host}:{port}" | |
cores = multiprocessing.cpu_count() | |
workers_per_core = float(workers_per_core_str) | |
default_web_concurrency = workers_per_core * cores | |
if web_concurrency_str: | |
web_concurrency = int(web_concurrency_str) | |
assert web_concurrency > 0 | |
else: | |
web_concurrency = max(int(default_web_concurrency), 2) | |
if use_max_workers: | |
web_concurrency = min(web_concurrency, use_max_workers) | |
accesslog_var = os.getenv("ACCESS_LOG", "-") | |
use_accesslog = accesslog_var or None | |
errorlog_var = os.getenv("ERROR_LOG", "-") | |
use_errorlog = errorlog_var or None | |
graceful_timeout_str = os.getenv("GRACEFUL_TIMEOUT", "120") | |
timeout_str = os.getenv("TIMEOUT", "120") | |
keepalive_str = os.getenv("KEEP_ALIVE", "5") | |
# Gunicorn config variables | |
loglevel = use_loglevel | |
workers = web_concurrency | |
bind = use_bind | |
errorlog = use_errorlog | |
worker_tmp_dir = "/dev/shm" | |
accesslog = use_accesslog | |
graceful_timeout = int(graceful_timeout_str) | |
timeout = int(timeout_str) | |
keepalive = int(keepalive_str) | |
# For debugging and testing | |
log_data = { | |
"loglevel": loglevel, | |
"workers": workers, | |
"bind": bind, | |
"graceful_timeout": graceful_timeout, | |
"timeout": timeout, | |
"keepalive": keepalive, | |
"errorlog": errorlog, | |
"accesslog": accesslog, | |
# Additional, non-gunicorn variables | |
"workers_per_core": workers_per_core, | |
"use_max_workers": use_max_workers, | |
"host": host, | |
"port": port, | |
} | |
print(json.dumps(log_data)) |
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docker-build: | |
DOCKER_BUILDKIT=1 docker build --tag yourapp --file docker/Dockerfile . | |
docker-run: | |
docker run -d -p 8001:8000 -e "DB_HOST=123" -e "DB_USER=123" yourapp |
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