mirror of
https://github.com/kennethreitz/kennethreitz.org.git
synced 2026-06-05 22:50:17 +00:00
kennethreitz
ddf80edf03
Performance CPUs require 4GB minimum — shared-cpu-2x with 2 workers is more cost-effective for this workload. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
31 lines
833 B
Docker
31 lines
833 B
Docker
FROM astral/uv:python3.14-bookworm
|
|
|
|
ENV PYTHONUNBUFFERED=1 \
|
|
PYTHONDONTWRITEBYTECODE=1 \
|
|
UV_SYSTEM_PYTHON=1
|
|
|
|
WORKDIR /app
|
|
|
|
# Install system dependencies for WeasyPrint (PDF generation)
|
|
RUN apt-get update && apt-get install -y \
|
|
libcairo2 \
|
|
libpango-1.0-0 \
|
|
libpangocairo-1.0-0 \
|
|
libgdk-pixbuf2.0-0 \
|
|
libffi-dev \
|
|
shared-mime-info \
|
|
&& rm -rf /var/lib/apt/lists/*
|
|
|
|
# Copy dependency files and required package files
|
|
COPY pyproject.toml README.md ./
|
|
COPY tuftecms ./tuftecms
|
|
|
|
# Install dependencies directly without creating a venv (since we're in a container)
|
|
RUN uv pip install . --system
|
|
|
|
# Copy the rest of the application
|
|
COPY . .
|
|
|
|
# Run uvicorn directly (no need for uv run since we installed system-wide)
|
|
CMD ["uvicorn", "engine:api", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]
|