# Base image for Audio Classifier Backend
# This image contains all system dependencies and Python packages
# Build this image only when dependencies change (requirements.txt updates)

# Use amd64 platform for better Essentia compatibility
FROM --platform=linux/amd64 python:3.9-slim

LABEL maintainer="benoit.schw@gmail.com"
LABEL description="Base image with all dependencies for Audio Classifier Backend"

# Install system dependencies
RUN apt-get update && apt-get install -y \
    ffmpeg \
    libsndfile1 \
    libsndfile1-dev \
    gcc \
    g++ \
    gfortran \
    libopenblas-dev \
    liblapack-dev \
    pkg-config \
    curl \
    build-essential \
    libyaml-dev \
    libfftw3-dev \
    libavcodec-dev \
    libavformat-dev \
    libavutil-dev \
    libswresample-dev \
    libsamplerate0-dev \
    libtag1-dev \
    libchromaprint-dev \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Upgrade pip, setuptools, wheel
RUN pip install --no-cache-dir --upgrade pip setuptools wheel

# Copy requirements
COPY requirements.txt .

# Install Python dependencies in stages for better caching
# Using versions compatible with Python 3.9
RUN pip install --no-cache-dir numpy==1.24.3
RUN pip install --no-cache-dir scipy==1.11.4

# Install Essentia-TensorFlow - Python 3.9 AMD64 support
RUN pip install --no-cache-dir essentia-tensorflow

# Install remaining dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Verify installations
RUN python -c "import essentia.standard; import numpy; import scipy; import fastapi; print('All dependencies installed successfully')"

# This image is meant to be used as a base
# The application code will be copied in the derived Dockerfile