core/engine/Dockerfile - main - alexefan136/flowstack

core/engine/Dockerfile
99 строк4 KB
Alexander Efanov
upd fix
29 июл 2026, 23:26
29 июл 2026, 23:26d8ac8ee
# syntax=docker/dockerfile:1.6
# ============================================================================
# FlowStack Engine — Multi-Arch Python FastAPI
# Поддержка: linux/amd64, linux/arm64
# ============================================================================

# ---------- Builder stage (TARGETPLATFORM — под целевую архитектуру!) ----------
FROM --platform=$TARGETPLATFORM python:3.12-slim AS builder

# ✅ ДИАГНОСТИКА: показываем архитектуру сборки
RUN echo "=== Builder: $(uname -m) | Target: $TARGETPLATFORM ==="

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

# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv

WORKDIR /app

# Copy package metadata first
COPY pyproject.toml uv.lock README.md* ./

# Create dummy README if needed
RUN test -f README.md || echo "# FlowStack Engine" > README.md

ARG INSTALL_DEV=false

# ✅ КЛЮЧЕВОЕ ИСПРАВЛЕНИЕ: БЕЗ mount cache!
# Это медленнее, но гарантирует что venv будет собран правильно под целевую архитектуру.
# Buildx кэширует слои между архитектурами — это ломает бинарники pydantic_core.
RUN uv sync --frozen --no-dev

# ✅ КРИТИЧЕСКАЯ ПРОВЕРКА: убеждаемся что pydantic_core собран правильно
RUN echo "=== Checking pydantic_core architecture ===" && \
  ls -la /app/.venv/lib/python3.12/site-packages/pydantic_core/*.so && \
  /app/.venv/bin/python -c "import pydantic_core; print('✅ pydantic_core OK:', pydantic_core.__version__)"

# Copy source code
COPY src ./src
COPY tests ./tests

# ---------- Runtime stage (TARGETPLATFORM) ----------
FROM --platform=$TARGETPLATFORM python:3.12-slim AS runtime

RUN apt-get update && apt-get install -y --no-install-recommends \
  curl \
  tini \
  && rm -rf /var/lib/apt/lists/* \
  && addgroup --system --gid 1001 appgroup \
  && adduser --system --uid 1001 --ingroup appgroup appuser

WORKDIR /app

COPY --from=builder --chown=appuser:appgroup /app/.venv /app/.venv
COPY --from=builder --chown=appuser:appgroup /app/src /app/src
COPY --from=builder --chown=appuser:appgroup /app/pyproject.toml /app/pyproject.toml
COPY --from=builder --chown=appuser:appgroup /app/tests /app/tests

RUN mkdir -p /app/logs /app/cache \
  && chown -R appuser:appgroup /app/logs /app/cache

ENV PATH="/app/.venv/bin:$PATH" \
  PYTHONUNBUFFERED=1 \
  PYTHONDONTWRITEBYTECODE=1 \
  PIP_NO_CACHE_DIR=1 \
  PORT=8000 \
  PYTHONPATH=/app \
  LLM_PROVIDER=cloud_ru \
  LLM_BASE_URL=https://foundation-models.api.cloud.ru/v1 \
  LLM_MODEL=deepseek-ai/DeepSeek-V4-Pro \
  LLM_MAX_TOKENS=8192 \
  LLM_TEMPERATURE=0.5 \
  LLM_TOP_P=0.9 \
  LLM_TIMEOUT=300.0 \
  LLM_MAX_RETRIES=3 \
  LLM_CACHE_DIR=/app/cache \
  LOG_LEVEL=info \
  LOG_FORMAT=json

# ✅ ФИНАЛЬНАЯ ПРОВЕРКА
RUN /app/.venv/bin/python -c "import pydantic_core; print('✅ Runtime OK:', pydantic_core.__version__)" && \
  ls -la /app/.venv/lib/python3.12/site-packages/pydantic_core/*.so

USER appuser

EXPOSE 8000

ENTRYPOINT ["/usr/bin/tini", "--"]
CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "4", "--log-level", "info"]

LABEL org.opencontainers.image.title="FlowStack Engine" \
  org.opencontainers.image.description="LLM Orchestration Engine (multi-arch)" \
  org.opencontainers.image.vendor="FlowStack" \
  org.opencontainers.image.version="1.0.0"