75 lines
3.2 KiB
Docker
75 lines
3.2 KiB
Docker
FROM python:3.12
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# Set working directory
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WORKDIR /app
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# Install system dependencies, Poetry and configure it
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RUN apt-get update && apt-get install -y \
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build-essential cmake git curl wget lsof vim unzip sqlite3 \
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&& apt-get clean \
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&& rm -rf /var/lib/apt/lists/* \
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&& pip install --upgrade pip \
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&& pip install poetry \
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&& poetry config virtualenvs.create false
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# Create directories
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RUN mkdir -p /app/dependencies /app/data/sqlite /app/data/chroma_db /app/logs /app/run /app/resources
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# Copy dependency files - Files that rarely change
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COPY dependencies/graphrag-1.2.1.dev27.tar.gz /app/dependencies/
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COPY dependencies/llama.cpp.zip /app/dependencies/
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# Copy GPU checker script (only used for status reporting, not rebuilding)
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COPY docker/app/check_gpu_support.sh /app/
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COPY docker/app/check_torch_cuda.py /app/
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RUN chmod +x /app/check_gpu_support.sh
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# Build llama.cpp
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RUN LLAMA_LOCAL_ZIP="dependencies/llama.cpp.zip" \
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&& echo "Using local llama.cpp archive..." \
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&& unzip -q "$LLAMA_LOCAL_ZIP" \
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&& cd llama.cpp \
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&& mkdir -p build && cd build \
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&& cmake .. \
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&& cmake --build . --config Release \
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&& if [ ! -f "bin/llama-server" ]; then \
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echo "Build failed: llama-server executable not found" && exit 1; \
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else \
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echo "Successfully built llama-server"; \
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fi
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# Mark as CPU-only build for runtime reference
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RUN mkdir -p /app/data && \
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echo "{ \"gpu_optimized\": false, \"optimized_on\": \"$(date -u +\"%Y-%m-%dT%H:%M:%SZ\")\" }" > /app/data/gpu_optimized.json && \
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echo "Created CPU-only marker file"
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# Copy project configuration - Files that occasionally change
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COPY pyproject.toml README.md /app/
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RUN poetry install --no-interaction --no-root
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RUN pip install --force-reinstall dependencies/graphrag-1.2.1.dev27.tar.gz
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# Copy source code - Files that frequently change
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COPY docker/ /app/docker/
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COPY lpm_kernel/ /app/lpm_kernel/
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# Check module import
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RUN python -c "import lpm_kernel; print('Module import check passed')"
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# Set environment variables
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ENV PYTHONUNBUFFERED=1 \
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PYTHONPATH=/app \
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BASE_DIR=/app/data \
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LOCAL_LOG_DIR=/app/logs \
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RUN_DIR=/app/run \
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RESOURCES_DIR=/app/resources \
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APP_ROOT=/app \
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FLASK_APP=lpm_kernel.app
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# Expose ports
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EXPOSE 8002 8080
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# Set the startup command
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CMD ["bash", "-c", "echo \"Checking SQLite database...\" && if [ ! -s /app/data/sqlite/lpm.db ]; then echo \"SQLite database not found or empty, initializing...\" && mkdir -p /app/data/sqlite && sqlite3 /app/data/sqlite/lpm.db \".read /app/docker/sqlite/init.sql\" && echo \"SQLite database initialized successfully\" && echo \"Tables created:\" && sqlite3 /app/data/sqlite/lpm.db \".tables\"; else echo \"SQLite database already exists, skipping initialization\"; fi && echo \"Checking ChromaDB...\" && if [ ! -d /app/data/chroma_db/documents ] || [ ! -d /app/data/chroma_db/document_chunks ]; then echo \"ChromaDB collections not found, initializing...\" && python /app/docker/app/init_chroma.py && echo \"ChromaDB initialized successfully\"; else echo \"ChromaDB already exists, skipping initialization\"; fi && echo \"Starting application at $(date)\" >> /app/logs/backend.log && cd /app && python -m flask run --host=0.0.0.0 --port=${LOCAL_APP_PORT:-8002} >> /app/logs/backend.log 2>&1"]
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