Benoit
d56fc376a5
Update numpy and scipy to versions compatible with Python 3.8: - numpy: 1.24.3 → 1.23.5 - scipy: 1.11.4 → 1.10.1 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
58 lines
1.5 KiB
Docker
58 lines
1.5 KiB
Docker
FROM python:3.8-slim
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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libsndfile1 \
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libsndfile1-dev \
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gcc \
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g++ \
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gfortran \
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libopenblas-dev \
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liblapack-dev \
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pkg-config \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Set working directory
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WORKDIR /app
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# Upgrade pip, setuptools, wheel
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RUN pip install --no-cache-dir --upgrade pip setuptools wheel
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# Copy requirements
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COPY requirements.txt .
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# Install Python dependencies in stages for better caching
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# Using versions compatible with Python 3.8
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RUN pip install --no-cache-dir numpy==1.23.5
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RUN pip install --no-cache-dir scipy==1.10.1
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# Install Essentia - Python 3.8 version (latest available with pre-built wheels)
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RUN ARCH=$(uname -m) && \
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if [ "$ARCH" = "x86_64" ]; then \
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echo "Installing Essentia for x86_64 Python 3.8..." && \
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pip install --no-cache-dir --trusted-host essentia.upf.edu \
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https://essentia.upf.edu/python-wheels/essentia-2.1b6.dev218-cp38-cp38-manylinux1_x86_64.whl || \
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echo "Essentia installation failed, using fallback mode"; \
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else \
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echo "Essentia wheels only available for x86_64, using fallback mode"; \
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fi
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy application code
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COPY src/ ./src/
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COPY alembic.ini .
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COPY models/ ./models/
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# Create models directory if not exists
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RUN mkdir -p /app/models
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# Expose port
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EXPOSE 8000
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# Run migrations and start server
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CMD alembic upgrade head && \
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uvicorn src.api.main:app --host 0.0.0.0 --port 8000
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