Dockerfile

FROM python:3.11-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y \
    build-essential \
    curl \
    && rm -rf /var/lib/apt/lists/*

# Upgrade pip first
RUN pip install --no-cache-dir --upgrade pip

# Install specific versions to match your trained models
RUN pip install --no-cache-dir \
    numpy==1.26.4 \
    scikit-learn==1.7.0 \
    joblib==1.4.0

# Copy and install remaining dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code and model files
COPY . .

# Debug: List all files and check model files
RUN echo "=== Directory contents ===" && ls -la
RUN echo "=== Looking for model files ===" && find . -name "*.pkl" -o -name "*.joblib" || echo "No model files found"

# Set proper permissions
RUN chmod 644 *.pkl 2>/dev/null || echo "No .pkl files found to set permissions"

# Create a non-root user for security
RUN useradd -m -u 1000 user
RUN chown -R user:user /app
USER user

# Environment variables
ENV PORT=7860
ENV MODEL_PATH=./isoforest_dos.pkl
ENV SCALER_PATH=./scaler_dos.pkl
ENV ENCODER_PATH=./encoder_dos.pkl

EXPOSE $PORT

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:$PORT/health || exit 1

CMD ["sh", "-c", "uvicorn app:app --host 0.0.0.0 --port $PORT"]