Dockerfile.trainer

FROM python:3.11-slim

WORKDIR /app

# Install dependencies in a single layer
COPY requirements.trainer.txt ./
COPY pyproject.toml ./
COPY trainer ./trainer
RUN pip install --no-cache-dir -r requirements.trainer.txt \
    && pip install --no-cache-dir . \
    && pip cache purge \
    && rm -rf /root/.cache/pip \
    && rm requirements.trainer.txt

# Copy application modules required for feature generation
COPY app ./app

# Copy shared scripts used post-training (auto-promotion, sync helpers)
COPY scripts ./scripts

# Copy bot simulation script for automated gameplay jobs
COPY bot_vs_bot_sim.py ./

# Set Python path so trainer modules can import each other and app modules
ENV PYTHONPATH=/app
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1

# Use the optimized multi-model training pipeline
CMD ["python", "trainer/train_all_models.py"]