quantum / Dockerfile
harishaseebat92
Corrected Dockerfile
022e774
# 1. Start from a slim Python 3.11 base image
FROM python:3.11-slim
# 2. Set Environment Variables
# - DEBIAN_FRONTEND: Prevents installers from asking interactive questions
# - PYTHONUNBUFFERED/PYTHONDONTWRITEBYTECODE: Standard Python-in-Docker settings
# - PYVISTA_OFF_SCREEN/DISPLAY: Crucial for running PyVista headless (off-screen)
# by telling it to use a "virtual" display at address :99
ENV DEBIAN_FRONTEND=noninteractive \
PYTHONUNBUFFERED=1 \
PYTHONDONTWRITEBYTECODE=1 \
HOME=/home/user \
PATH=/home/user/.local/bin:$PATH \
PYVISTA_OFF_SCREEN=true \
DISPLAY=:99 \
VTK_SILENCE_GET_VOID_POINTER_WARNINGS=1
# 3. Install System Dependencies
# Added 'git' here because we need it to clone aqc-research
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential cmake wget xvfb nginx git \
libosmesa6 libosmesa6-dev \
libgl1 libgl1-mesa-dev \
libegl1 libegl1-mesa-dev \
libglu1-mesa libglu1-mesa-dev \
libgles2-mesa-dev \
libx11-6 libxt6 libxrender1 libsm6 libice6 \
&& rm -rf /var/lib/apt/lists/*
# 4. Create a non-root user for security
RUN useradd -m -u 1000 user
WORKDIR /home/user/app
# 5. Install Python dependencies (optimized)
# We copy *only* requirements.txt first and install it.
# This "layer" is cached by Docker. If you only change app.py later,
# Docker skips this step, making builds much faster.
COPY requirements.txt .
RUN python3 -m pip install --upgrade pip setuptools wheel \
&& python3 -m pip install --no-cache-dir -r requirements.txt
# 6. Copy the rest of the application code
# This copies app.py, delta_impulse_generator.py, etc.
# We set the owner to our new 'user'.
COPY --chown=user:user . .
COPY docker/nginx.conf /etc/nginx/nginx.conf
# ---------------------------------------------------------------------------
# Create the 'aqc_venv' and install dependencies
# ---------------------------------------------------------------------------
RUN python3 -m venv utils/aqc_venv && \
# 1. Upgrade pip inside the new venv
utils/aqc_venv/bin/pip install --upgrade pip setuptools wheel && \
# 2. Install EXACT versions FIRST (before any library that has qiskit dependency)
utils/aqc_venv/bin/pip install \
"qiskit==1.3.1" \
"qiskit-aer==0.16.4" \
"qiskit-algorithms==0.4.0" \
"qiskit-qasm3-import==0.6.0" \
"qiskit-experiments==0.6.1" \
"qiskit-ibm-experiment==0.4.8" \
"numpy==1.26.4" \
"scipy==1.16.3" \
"sympy==1.14.0" \
"openfermion==1.7.1" \
"cirq-core==1.6.1" \
"physics-tenpy==1.0.7" \
"lmfit==1.3.4" \
"h5py==3.15.1" && \
# 3. Clone aqc-research inside utils
cd utils && \
git clone https://github.com/bjader/aqc-research.git && \
# 4. Install aqc-research with --no-deps (won't upgrade qiskit)
/home/user/app/utils/aqc_venv/bin/pip install --no-deps ./aqc-research && \
# 5. Install adapt-aqc with --no-deps
/home/user/app/utils/aqc_venv/bin/pip install --no-deps -e ./adapt-aqc && \
# 6. VERIFY: Print versions to confirm
echo "=== Qiskit versions ===" && \
/home/user/app/utils/aqc_venv/bin/pip list | grep -i qiskit && \
/home/user/app/utils/aqc_venv/bin/python --version
# Prepare writable directories for nginx (running as non-root later)
RUN mkdir -p /tmp/nginx/body /tmp/nginx/proxy /tmp/nginx/fastcgi /tmp/nginx/uwsgi /tmp/nginx/scgi \
&& touch /tmp/nginx.access.log /tmp/nginx.error.log \
&& chown -R user:user /tmp/nginx /tmp/nginx.access.log /tmp/nginx.error.log
# 7. Switch to the non-root user
USER user
# Note: We do NOT set PYTHONPATH for adapt-aqc here because it is installed
# inside the 'aqc_venv' which your code calls via subprocess.
# Default runtime configuration for multiprocess layout
ENV OMP_NUM_THREADS=1 \
APP_HOST=127.0.0.1 \
APP_PORT=8700 \
EM_APP_PORT=8701 \
QLBM_APP_PORT=8702 \
EM_HOST=127.0.0.1 \
QLBM_HOST=127.0.0.1 \
EM_IFRAME_SRC=/em/ \
QLBM_IFRAME_SRC=/qlbm/
# 8. Expose the port the app will run on
EXPOSE 7860
# 9. Healthcheck (good practice for hosting platforms)
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD wget --no-verbose --tries=1 --spider http://localhost:${PORT:-7860}/ || exit 1
# 10. Start Command
# This command does two things:
# a) Starts the X Virtual FrameBuffer (Xvfb) in the background (&) on display :99
# b) 'exec' runs your app. Using 'exec' is important as it makes the Python
# process the main one, which properly handles signals (like stopping the container).
# '--host 0.0.0.0' is ESSENTIAL to make the server accessible from outside the container.
CMD ["sh", "-c", "Xvfb :99 -screen 0 1024x768x24 >/dev/null 2>&1 & nginx && exec python3 app.py --server --host ${APP_HOST:-127.0.0.1} --port ${APP_PORT:-8700}"]