46 lines
1.6 KiB
Docker
46 lines
1.6 KiB
Docker
FROM python:3.13-slim
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1
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# SEMANTIC_CACHE=true installs sentence-transformers + CPU-only torch and pre-bakes
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# the all-MiniLM-L6-v2 embedding model (~500 MB extra). The resulting image is tagged
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# :semantic. The default (lean) image supports exact-match caching only.
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ARG SEMANTIC_CACHE=false
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# Pin HuggingFace cache to a predictable path inside /app/data so it can be
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# mounted as a volume and shared between builds.
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ENV HF_HOME=/app/data/hf_cache
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# Install SQLite
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends sqlite3 git \
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&& rm -rf /var/lib/apt/lists/*
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WORKDIR /app
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COPY requirements.txt .
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RUN pip install --root-user-action=ignore --no-cache-dir --upgrade pip \
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&& pip install --root-user-action=ignore --no-cache-dir -r requirements.txt
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# Semantic cache deps — only installed when SEMANTIC_CACHE=true
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# CPU-only torch must be installed before sentence-transformers to avoid
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# pulling the full CUDA-enabled build (~2.5 GB).
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RUN if [ "$SEMANTIC_CACHE" = "true" ]; then \
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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 sentence-transformers && \
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python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')"; \
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fi
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# Create database directory and set permissions
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RUN mkdir -p /app/data && chown -R www-data:www-data /app/data
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COPY . .
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RUN chmod +x /app/entrypoint.sh && \
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chown -R www-data:www-data /app
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EXPOSE 12434
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USER www-data
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ENTRYPOINT ["/app/entrypoint.sh"]
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