# Python Embedding Service Dockerfile
# Author: Martin.Schweitzer@procon.co.at and claude.ai
#
# Provides HTTP API for generating text embeddings using sentence-transformers
# Model: intfloat/multilingual-e5-large (1024 dimensions)

FROM python:3.11-slim

WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    curl \
    && rm -rf /var/lib/apt/lists/*

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

# Copy application code
COPY embedding_service.py .

# Pre-download model (optional - reduces startup time)
# RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('intfloat/multilingual-e5-large')"

# Environment variables
ENV MODEL_NAME=intfloat/multilingual-e5-large
ENV MAX_LENGTH=512
ENV HOST=0.0.0.0
ENV PORT=8001

EXPOSE 8001

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD curl -f http://localhost:8001/health || exit 1

# Run the service
CMD ["python", "embedding_service.py"]