Dockerfile.performance

# High-Performance Dockerfile for maximum resource utilization
FROM python:3.11-slim

# Install system dependencies with full optimization support
RUN apt-get update && apt-get install -y \
    ffmpeg \
    imagemagick \
    fonts-dejavu \
    fonts-liberation \
    git \
    curl \
    build-essential \
    wget \
    unzip \
    htop \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean \
    && sed -i 's/policy domain="path" rights="none" pattern="@\*"/policy domain="path" rights="read" pattern="@*"/' /etc/ImageMagick-7/policy.xml

# Install additional performance fonts
RUN mkdir -p /usr/share/fonts/truetype/luckiest-guy \
    && wget -O /usr/share/fonts/truetype/luckiest-guy/LuckiestGuy-Regular.ttf \
       "https://github.com/google/fonts/raw/main/apache/luckiestguy/LuckiestGuy-Regular.ttf" \
    && fc-cache -f -v

# Set working directory
WORKDIR /app

# Copy requirements
COPY requirements.txt optimized_requirements.txt ./

# Install Python dependencies with performance optimizations
RUN pip install --no-cache-dir --upgrade pip \
    && pip install --no-cache-dir -r optimized_requirements.txt \
    && pip cache purge

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p temp uploads jobs static performance_charts

# Set environment variables for maximum performance
ENV FLASK_APP=app_performance.py
ENV FLASK_ENV=production
ENV PYTHONPATH=/app
ENV PORT=8080

# Performance optimization environment variables
ENV OMP_NUM_THREADS=4
ENV MKL_NUM_THREADS=4
ENV VECLIB_MAXIMUM_THREADS=4
ENV NUMEXPR_NUM_THREADS=4

# PyTorch optimizations
ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:1024

# Performance mode flags
ENV PERFORMANCE_MODE=HIGH
ENV MAX_MEMORY_USAGE=90
ENV USE_ALL_CORES=true

# Expose port
EXPOSE 8080

# Enhanced health check for performance version
HEALTHCHECK --interval=30s --timeout=20s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8080/health || exit 1

# Labels for performance container
LABEL maintainer="VideoEditorAPI"
LABEL version="performance-v1.0" 
LABEL description="High-performance VideoEditorAPI using all system resources"
LABEL performance.mode="maximum"
LABEL performance.optimization="parallel-processing"
LABEL performance.resource_usage="maximum"

# Run the high-performance application
CMD ["python", "app_performance.py"]