# Slim image for the Render demo deployment.
# Skips the RAG dependency stack (chromadb, sentence-transformers, torch,
# biopython) which would put the image past 2 GB and the runtime past
# Render's 512 MB free-tier RAM ceiling. The pipeline graceful-degrades
# when these are missing — `try/except` in api/pipeline.py catches the
# ImportError on RAG calls and continues with deterministic evidence.
#
# For the full stack (validation runs, RAG, in-silico predictions),
# use backend/Dockerfile + docker-compose locally.

FROM python:3.12-slim

WORKDIR /app

RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential libpq-dev curl \
    && rm -rf /var/lib/apt/lists/*

# Core deps only — no torch / chromadb / sentence-transformers / celery / biopython
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir \
    "fastapi>=0.115.0" \
    "uvicorn[standard]>=0.32.0" \
    "pydantic>=2.9.0" \
    "pydantic-settings>=2.6.0" \
    "sqlalchemy>=2.0.36" \
    "psycopg[binary]>=3.2.3" \
    "alembic>=1.14.0" \
    "httpx>=0.27.2" \
    "anthropic>=0.39.0" \
    "tenacity>=9.0.0" \
    "structlog>=24.4.0" \
    "python-multipart>=0.0.12" \
    "python-jose[cryptography]>=3.3.0" \
    "passlib[bcrypt]>=1.7.4"

COPY backend ./backend
COPY alembic.ini ./

EXPOSE 8000

# Render injects $PORT — bind to it. Migrations apply automatically via
# the FastAPI lifespan hook in main.py, so no explicit `alembic upgrade`
# step is needed here.
CMD ["sh", "-c", "uvicorn backend.app.main:app --host 0.0.0.0 --port ${PORT:-8000}"]