mirror of
https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools.git
synced 2026-06-18 07:19:35 +00:00
dd8d2ccc9e
Railway build was failing with "Image of size 5.7 GB exceeded limit of 4.0 GB" because sentence-transformers pulled torch with full CUDA/NVIDIA GPU packages (~3 GB). Fix: multi-stage Dockerfile that: 1. Installs CPU-only torch first (--index-url pytorch.org/whl/cpu) saving ~3 GB (200 MB CPU vs 3.2 GB CUDA) 2. Multi-stage build: builder + runtime (smaller final image) 3. Non-root user (app:1000) 4. tini init for proper signal handling 5. Built-in HEALTHCHECK with 60s start-period 6. railway.toml with healthcheck path and restart policy Also fixes healthcheck failure: start-period=60s gives the app time to initialize before Railway starts checking /health. Expected image size: ~2 GB (down from 5.7 GB). https://claude.ai/code/session_01W1rJthWDkasijTdXCfxVHs
47 lines
1.5 KiB
Docker
47 lines
1.5 KiB
Docker
# ── Stage 1: Builder ──────────────────────────────────
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FROM python:3.12-slim AS builder
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential libpq-dev curl \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /build
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RUN python -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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COPY requirements.txt ./
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# Install CPU-only torch first (saves ~3 GB vs CUDA version)
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RUN pip install --no-cache-dir --upgrade pip setuptools wheel \
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&& pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu \
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&& pip install --no-cache-dir -r requirements.txt
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# ── Stage 2: Runtime ─────────────────────────────────
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FROM python:3.12-slim AS runtime
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libpq5 curl tini \
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&& rm -rf /var/lib/apt/lists/*
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RUN groupadd --gid 1000 app \
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&& useradd --uid 1000 --gid app --shell /bin/bash --create-home app
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COPY --from=builder /opt/venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH" \
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PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1
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WORKDIR /app
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COPY --chown=app:app . .
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USER app
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
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CMD curl -f http://localhost:8000/api/v1/health || exit 1
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ENTRYPOINT ["tini", "--"]
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "2"]
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