Dockerfile

# Use slim Python base image
FROM python:3.10-slim

# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1

# Set working directory
WORKDIR /app

# Install system-level dependencies for numpy, scipy, etc.
RUN apt-get update && apt-get install -y --no-install-recommends \
    gcc \
    build-essential \
    libffi-dev \
    libpq-dev \
    libssl-dev \
    libxml2-dev \
    libxslt1-dev \
    libjpeg-dev \
    zlib1g-dev \
    libblas-dev \
    liblapack-dev \
    gfortran \
    wget \
    redis-server \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first to leverage Docker cache
COPY requirements.txt .

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

# Copy the rest of the application code
COPY . .

# Download NLTK corpora
RUN python -m nltk.downloader punkt stopwords

# Expose FastAPI app port
EXPOSE 5000

# Starting redis first in background, then the backend app
CMD redis-server --daemonize yes && gunicorn app.main:app -k uvicorn.workers.UvicornWorker -w 4 -b 0.0.0.0:5000 --timeout 1000