Dockerfile.indexer

# Dockerized code indexer for Qdrant
FROM python:3.11-slim

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    WORK_ROOTS="/work,/app" \
    PIP_DEFAULT_TIMEOUT=120 \
    PIP_RETRIES=10 \
    LOG_LEVEL=INFO

# OS packages needed: git for history ingestion, curl for model downloads
RUN apt-get update && apt-get install -y --no-install-recommends git ca-certificates curl && rm -rf /var/lib/apt/lists/*

# Python deps: reuse shared requirements file
COPY requirements.txt /tmp/requirements.txt
RUN pip install --no-cache-dir --upgrade --timeout=${PIP_DEFAULT_TIMEOUT} --retries=${PIP_RETRIES} -r /tmp/requirements.txt

# Download reranker model and tokenizer during build
# Cross-encoder for reranking (ms-marco-MiniLM) + BGE tokenizer for micro-chunking
ARG RERANKER_ONNX_URL=https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2/resolve/main/onnx/model.onnx
ARG TOKENIZER_URL=https://huggingface.co/BAAI/bge-base-en-v1.5/resolve/main/tokenizer.json
RUN mkdir -p /app/models && \
    curl -L --fail --retry 3 -o /app/models/reranker.onnx "${RERANKER_ONNX_URL}" && \
    curl -L --fail --retry 3 -o /app/models/tokenizer.json "${TOKENIZER_URL}"

# Set default paths for reranker (can be overridden via env)
ENV RERANKER_ONNX_PATH=/app/models/reranker.onnx \
    RERANKER_TOKENIZER_PATH=/app/models/tokenizer.json

# Bake scripts into the image so we can mount arbitrary code at /work
COPY scripts /app/scripts


WORKDIR /work

# Default command shows help; Makefile/compose will override entrypoint
CMD ["python", "/app/scripts/ingest_code.py", "--help"]