Dockerfile.web

# syntax=docker/dockerfile:1.4
# ─────────────────────────────────────────────────────────────────────────────
# Dockerfile.web — lightweight image for backend (gunicorn) + celery-beat
#
# Does NOT contain any conda model environments.
# Code-only changes rebuild only from the COPY . . layer (~5–10 s).
# Requirements changes rebuild only from the pip install layer (~1–3 min).
# ─────────────────────────────────────────────────────────────────────────────

FROM python:3.12-slim

WORKDIR /app

ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=0

# Minimal system runtime deps
RUN apt-get update && apt-get install -y --no-install-recommends \
        curl \
        libgomp1 \
        wget \
    && rm -rf /var/lib/apt/lists/*

# ── MMseqs2 static binary (needed by /validate/?runSimilarity=true) ───────────
# Use the SSE4.1 build — compatible with older/virtualised CPUs that lack AVX2.
# Fall back to sse2 if even that fails: change "sse41" → "sse2" below.
RUN wget -q https://mmseqs.com/latest/mmseqs-linux-sse41.tar.gz -O /tmp/mmseqs.tar.gz \
    && tar -xzf /tmp/mmseqs.tar.gz -C /tmp \
    && mv /tmp/mmseqs/bin/mmseqs /usr/local/bin/mmseqs \
    && chmod +x /usr/local/bin/mmseqs \
    && rm -rf /tmp/mmseqs /tmp/mmseqs.tar.gz

# ── Python dependencies (cached until requirements.txt changes) ───────────────
COPY requirements.txt ./
RUN --mount=type=cache,id=webkinpred-pip-web-py312,target=/root/.cache/pip,sharing=locked \
    pip install -r requirements.txt

# ── Application code (only this layer + below rebuild on git pull) ────────────
COPY . .

RUN mkdir -p /app/media/sequence_info \
             /app/staticfiles \
             /app/mmseqs_tmp \
    && chmod 777 /app/mmseqs_tmp

EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
    CMD curl -f http://localhost:8000/api/health/ || exit 1