# Dockerfile for Celery Worker Service
FROM python:3.12-slim as builder

WORKDIR /build

# Install Poetry
RUN pip install --no-cache-dir poetry==1.8.0

# Copy dependency files
COPY pyproject.toml poetry.lock ./

# Export dependencies
RUN poetry config virtualenvs.create false \
    && poetry export -f requirements.txt --output requirements.txt --without-hashes

# Runtime stage
FROM python:3.12-slim

LABEL maintainer="automation-team@company.com"
LABEL description="Datacenter Documentation Background Worker"

# Install system dependencies for network automation
RUN apt-get update && apt-get install -y \
    gcc \
    libpq-dev \
    openssh-client \
    snmp \
    curl \
    && rm -rf /var/lib/apt/lists/*

WORKDIR /app

# Copy requirements from builder
COPY --from=builder /build/requirements.txt .

# Install Python dependencies
RUN pip install --no-cache-dir -r requirements.txt

# Copy application code and package definition
COPY src/ /app/src/
COPY config/ /app/config/
COPY templates/ /app/templates/
COPY pyproject.toml README.md /app/

# Install poetry-core (required for install with pyproject.toml)
RUN pip install --no-cache-dir poetry-core

# Install the package
RUN pip install --no-cache-dir /app

# Set PYTHONPATH to ensure module can be imported
ENV PYTHONPATH=/app/src:$PYTHONPATH

# Create necessary directories
RUN mkdir -p /app/logs /app/output

# Create non-root user
RUN useradd -m -u 1000 appuser && \
    chown -R appuser:appuser /app

USER appuser

# Run the Celery worker with specific queues
CMD ["celery", "-A", "datacenter_docs.workers.celery_app", "worker", "--loglevel=info", "--concurrency=4", "-Q", "documentation,auto_remediation,data_collection,maintenance,celery"]