Dockerfile.optimized

# Optimized Dockerfile for 4GB RAM / 2 vCPU systems
FROM python:3.11-slim

# Install system dependencies with minimal packages for memory efficiency
RUN apt-get update && apt-get install -y \
    ffmpeg \
    fonts-dejavu \
    git \
    curl \
    wget \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# Create a simple font directory (skip heavy fonts for memory efficiency)
RUN mkdir -p /usr/share/fonts/truetype/dejavu

# Set working directory
WORKDIR /app

# Copy optimized requirements for better performance
COPY optimized_requirements.txt requirements.txt ./

# Install Python dependencies with optimizations for limited memory
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 optimized performance
ENV FLASK_APP=app_optimized.py
ENV FLASK_ENV=production
ENV PYTHONPATH=/app
ENV PORT=8080

# Memory optimization environment variables
ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512
ENV OMP_NUM_THREADS=1
ENV MKL_NUM_THREADS=1

# Resource limits for container
ENV MEMORY_LIMIT=4G
ENV CPU_LIMIT=2

# Expose port
EXPOSE 8080

# Enhanced health check for optimized version
HEALTHCHECK --interval=30s --timeout=15s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8080/health || exit 1

# Add performance monitoring script
RUN chmod +x scripts/performance_test.py

# Labels for optimized container
LABEL maintainer="VideoEditorAPI"
LABEL version="optimized-v1.0"
LABEL description="Memory-optimized VideoEditorAPI for 4GB RAM systems"
LABEL performance.memory="4GB"
LABEL performance.cpu="2vCPU"
LABEL optimization="chunked-processing"

# Run the optimized application with resource monitoring
CMD ["python", "app_optimized.py"]