# syntax=docker/dockerfile:1
#
# Backend image. The FastAPI API and all four Taskiq processes (inbox worker and
# scheduler, CV worker and scheduler) run from this one image; docker-compose picks
# the process with `command:`.
#
# THE BUILD CONTEXT IS THE REPO ROOT, not ./backend:
#
#     docker build -f backend/Dockerfile -t hrms-backend:local .
#
# backend/job/candidate imports the bulk-ats scoring engine (`app.core.errors`,
# `app.services.pdf`, `app.services.scoring`), which lives in app/ at the repo root
# and is pulled in transitively by inbox.plugins -> inbox.tasks. A ./backend context
# cannot see it, so the workers would die on import.

FROM python:3.12-slim

ENV PYTHONUNBUFFERED=1 \
    PYTHONDONTWRITEBYTECODE=1 \
    PIP_NO_CACHE_DIR=1 \
    PYTHONPATH=/app

WORKDIR /app

COPY backend/requirements.txt ./requirements.txt
RUN pip install --no-cache-dir -r requirements.txt

# Backend tree at /app; the scoring engine at /app/app so `import app.services.pdf`
# resolves under PYTHONPATH=/app. requirements.txt says to `pip install -e ..` for
# this in a host environment — copying it in is the container equivalent, and its
# dependencies (openai, pypdf, pydantic-settings, python-multipart) are already pinned
# above.
COPY backend/ /app/
COPY app/ /app/app/

# Decoded CV attachments are read and written here. docker-compose bind-mounts the
# host folder over this path so every container shares one set of files; creating it
# in the image keeps an un-mounted container from failing on first write.
RUN mkdir -p /app/inbox/decoded_attachments

EXPOSE 8000

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]