ai-review/vector/deployment/container/Dockerfile-base

# deployment/container/Dockerfile-base
# 최적화된 Poetry 기반 Vector DB API Base Image - 필수 라이브러리만 설치

FROM python:3.11-slim

# 메타데이터
LABEL description="Optimized Vector DB API Base Image with Poetry - dotenv 0.9.9 package"
LABEL version="optimized-dotenv-0.9.9-v1.0"
LABEL maintainer="admin@example.com"

# 환경 변수 설정 - Poetry 가상환경을 홈 디렉토리로 이동
ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    DEBIAN_FRONTEND=noninteractive \
    PIP_NO_CACHE_DIR=1 \
    PIP_DISABLE_PIP_VERSION_CHECK=1 \
    POETRY_NO_INTERACTION=1 \
    POETRY_VENV_IN_PROJECT=false \
    POETRY_VIRTUALENVS_CREATE=true \
    POETRY_VIRTUALENVS_PATH=/home/appuser/.cache/pypoetry/venvs \
    POETRY_CACHE_DIR=/home/appuser/.cache/pypoetry/cache \
    POETRY_CONFIG_DIR=/home/appuser/.config/pypoetry \
    POETRY_DATA_DIR=/home/appuser/.local/share/pypoetry \
    HF_HUB_CACHE=/home/appuser/.cache/huggingface \
    TRANSFORMERS_CACHE=/home/appuser/.cache/transformers \
    SENTENCE_TRANSFORMERS_HOME=/home/appuser/.cache/sentence_transformers

# 🔧 시스템 패키지 설치 (최소화)
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    gcc \
    g++ \
    python3-dev \
    curl \
    wget \
    ca-certificates \
    git \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

# 📦 pip 업그레이드
RUN python3.11 -m pip install --no-cache-dir --upgrade pip setuptools wheel

# 👤 비root 사용자 생성 (UID/GID를 명시적으로 1000으로 설정)
RUN groupadd -g 1000 appuser && \
    useradd -r -u 1000 -g 1000 -d /home/appuser -s /bin/bash appuser && \
    mkdir -p /home/appuser && \
    chown -R 1000:1000 /home/appuser

# 🔧 Poetry 디렉토리 생성 (config 디렉토리 추가)
RUN mkdir -p /home/appuser/.cache/pypoetry/venvs \
             /home/appuser/.cache/pypoetry/cache \
             /home/appuser/.config/pypoetry \
             /home/appuser/.local/share/pypoetry && \
    chown -R appuser:appuser /home/appuser/.cache && \
    chown -R appuser:appuser /home/appuser/.config && \
    chown -R appuser:appuser /home/appuser/.local && \
    chmod -R 755 /home/appuser/.cache && \
    chmod -R 755 /home/appuser/.config && \
    chmod -R 755 /home/appuser/.local

# 🐍 Poetry를 appuser로 설치
USER appuser
ENV PATH="/home/appuser/.local/bin:$PATH"

RUN curl -sSL https://install.python-poetry.org | python3.11 -

# Poetry 실행 권한 및 심볼릭 링크
USER root
RUN chmod +x /home/appuser/.local/bin/poetry && \
    ln -sf /home/appuser/.local/bin/poetry /usr/local/bin/poetry && \
    chown appuser:appuser /home/appuser/.local/bin/poetry

# appuser로 다시 전환
USER appuser

# 🔧 Poetry 설정
RUN poetry config virtualenvs.in-project false && \
    poetry config virtualenvs.create true && \
    poetry config virtualenvs.path /home/appuser/.cache/pypoetry/venvs && \
    poetry config cache-dir /home/appuser/.cache/pypoetry/cache

# 🏗️ 작업 디렉토리 설정
WORKDIR /home/appuser

# 애플리케이션 디렉토리 생성
USER root
RUN mkdir -p /home/appuser/app && \
    chown appuser:appuser /home/appuser/app
USER appuser

# 🔧 간단한 pyproject.toml 생성 (dotenv 0.9.9 사용)
RUN cat > pyproject.toml << 'EOF'
[tool.poetry]
name = "vector-api"
version = "1.0.0"
description = "Vector DB API with AI/ML capabilities"
authors = ["Developer <dev@example.com>"]
packages = [{include = "app"}]

[tool.poetry.dependencies]
python = "^3.11"
python-dotenv = "^1.1.0"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
EOF

# 🔧 Poetry 의존성 설치 (최적화된 순서)
RUN echo "🚀 최적화된 의존성 설치 시작..." && \
    \
    echo "1️⃣ 기본 웹 프레임워크 설치..." && \
    poetry add fastapi==0.115.9 && \
    poetry add "uvicorn[standard]" pydantic python-dotenv && \
    \
    echo "2️⃣ HTTP 클라이언트 설치..." && \
    poetry add aiohttp requests && \
    \
    echo "3️⃣ PyTorch CPU 버전 설치..." && \
    poetry source add pytorch-cpu https://download.pytorch.org/whl/cpu --priority=supplemental && \
    poetry add torch==2.7.1+cpu --source pytorch-cpu && \
    \
    echo "4️⃣ AI/ML 라이브러리 설치..." && \
    poetry add tokenizers transformers huggingface-hub && \
    poetry add sentence-transformers && \
    \
    echo "5️⃣ 벡터 DB 라이브러리 설치..." && \
    poetry add chromadb duckdb hnswlib && \
    \
    echo "6️⃣ Claude AI 라이브러리 설치..." && \
    poetry add anthropic && \
    \
    echo "✅ 최적화된 의존성 설치 완료!"

# 🧹 캐시 정리 (컨테이너 크기 최소화)
RUN poetry cache clear pypi --all && \
    rm -rf /home/appuser/.cache/pip && \
    find /home/appuser/.cache -name "*.pyc" -delete && \
    find /home/appuser/.cache -name "__pycache__" -type d -exec rm -rf {} + 2>/dev/null || true

# 🏁 최종 설정
EXPOSE 8000
WORKDIR /home/appuser

# 🔧 베이스 이미지 테스트용 CMD (실제 서비스에서는 오버라이드됨)
CMD ["poetry", "--version"]