dind.Dockerfile

# Use a Docker-in-Docker base image with Ubuntu 24.04 (Noble Numbat)
FROM --platform=linux/amd64 cruizba/ubuntu-dind:noble-latest

# Install system dependencies
RUN apt-get update && \
    apt-get install -y \
    git \
    build-essential \
    python3-full \
    && rm -rf /var/lib/apt/lists/*

# Install network troubleshooting tools
RUN apt-get update && \
    apt-get install -y \
    dnsutils \
    iputils-ping \
    net-tools \
    traceroute \
    curl \
    wget \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

# Set working directory
WORKDIR /app

# Create and activate virtual environment
RUN python3 -m venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Disable pip version warning and cache
ARG PIP_DISABLE_PIP_VERSION_CHECK=1
ARG PIP_NO_CACHE_DIR=1

# Upgrade pip and setuptools in the virtual environment
RUN /opt/venv/bin/pip install --upgrade pip setuptools wheel

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

# Install dependencies from requirements.txt
RUN /opt/venv/bin/pip install -r requirements.txt \
    && /opt/venv/bin/pip install huggingface_hub requests

# Copy source code
COPY . /app/

# Copy network diagnostics scripts
COPY aws/simple_network_check.py /app/aws/simple_network_check.py
COPY aws/network_diagnostics.py /app/aws/network_diagnostics.py
COPY aws/configure_aws_credentials.py /app/aws/configure_aws_credentials.py
COPY aws/run_with_iam_role.py /app/aws/run_with_iam_role.py
COPY aws/aws_diagnostics.py /app/aws/aws_diagnostics.py
COPY aws/check_hanging_processes.py /app/aws/check_hanging_processes.py
RUN chmod +x /app/aws/simple_network_check.py
RUN chmod +x /app/aws/network_diagnostics.py
RUN chmod +x /app/aws/configure_aws_credentials.py
RUN chmod +x /app/aws/run_with_iam_role.py
RUN chmod +x /app/aws/aws_diagnostics.py
RUN chmod +x /app/aws/check_hanging_processes.py

# Install the local package in development mode and clean up cache
RUN /opt/venv/bin/pip install -e . \
    && find /opt/venv -name '*.pyc' -delete

# Set environment variables
ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PYTHONPATH=/app

# Start Docker daemon when container starts
# The entrypoint script from the base image will be used
ENTRYPOINT ["/usr/local/bin/entrypoint.sh"]

# Default command to run the evaluation
CMD ["/opt/venv/bin/python", "-m", "inspect_evals_scoring.cli.run_eval", "local", "--tasks", "inspect_evals/pubmedqa", "--model", "openai/gpt-4o-mini", "--limit", "1"]