Dockerfile

# filename: Dockerfile

# --- Base Image: Use a lightweight, official Python image ---
FROM python:3.11-slim

# --- Set Environment Variables ---
# This prevents Python from buffering output, making logs appear in real-time.
ENV PYTHONUNBUFFERED 1
# Set the timezone for India to ensure logs and timestamps are correct.
ENV TZ=Asia/Kolkata

# --- Install System Dependencies ---
# Update package lists and install necessary tools, including FFMPEG for video processing.
RUN apt-get update && \
    apt-get install -y --no-install-recommends \
    build-essential \
    ffmpeg \
    curl \
    wget \
    && rm -rf /var/lib/apt/lists/*

# --- Set Up Application Directory ---
WORKDIR /app

# --- Install Python Dependencies ---
# Copy the requirements file first to leverage Docker's layer caching.
# This step will only re-run if requirements.txt changes.
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir -r requirements.txt

# --- Copy Application Code ---
# Copy all the project files into the working directory inside the container.
COPY . .

# --- Create necessary directories for runtime data ---
RUN mkdir -p ./downloads ./logs ./data && \
    chmod -R 777 ./downloads ./logs ./data

# --- Expose Port ---
# Inform Docker that the application listens on port 8080 (used by Uvicorn in main.py).
EXPOSE 8080

# --- Final Command ---
# The command to run when the container starts. This executes your main application.
CMD ["python", "main.py"]