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Cuong2004

Fix: copy README.md to builder stage

920888d 10 months ago

2.12 kB

# =============================================================================
# LocalMate Backend - Hugging Face Spaces Docker Deployment
# =============================================================================
# Multi-stage build with SigLIP model pre-cached for optimal cold start

# Stage 1: Build dependencies
FROM python:3.11-slim as builder

WORKDIR /app

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

# Copy dependency files (README.md required by pyproject.toml)
COPY pyproject.toml README.md ./

# Install Python dependencies
RUN pip install --no-cache-dir --upgrade pip && \
    pip install --no-cache-dir .

# =============================================================================
# Stage 2: Production image
# =============================================================================
FROM python:3.11-slim

WORKDIR /app

# Install runtime dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    libgomp1 \
    && rm -rf /var/lib/apt/lists/*

# Copy installed packages from builder
COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
COPY --from=builder /usr/local/bin /usr/local/bin

# Copy application code
COPY app ./app

# Pre-download SigLIP model during build (cache in image)
# This avoids downloading on every cold start
RUN python -c "from open_clip import create_model_and_transforms; \
    model, _, preprocess = create_model_and_transforms('ViT-B-16-SigLIP', pretrained='webli'); \
    print('✅ SigLIP model cached')"

# Create cache directory for HF models
RUN mkdir -p /root/.cache/huggingface

# Environment variables
ENV PYTHONUNBUFFERED=1
ENV PYTHONDONTWRITEBYTECODE=1

# HF Spaces expects port 7860
EXPOSE 7860

# Health check
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
    CMD python -c "import httpx; httpx.get('http://localhost:7860/health')" || exit 1

# Run with uvicorn
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]

	# =============================================================================
	# LocalMate Backend - Hugging Face Spaces Docker Deployment
	# =============================================================================
	# Multi-stage build with SigLIP model pre-cached for optimal cold start

	# Stage 1: Build dependencies
	FROM python:3.11-slim as builder

	WORKDIR /app

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

	# Copy dependency files (README.md required by pyproject.toml)
	COPY pyproject.toml README.md ./

	# Install Python dependencies
	RUN pip install --no-cache-dir --upgrade pip && \
	pip install --no-cache-dir .

	# =============================================================================
	# Stage 2: Production image
	# =============================================================================
	FROM python:3.11-slim

	WORKDIR /app

	# Install runtime dependencies
	RUN apt-get update && apt-get install -y --no-install-recommends \
	libgomp1 \
	&& rm -rf /var/lib/apt/lists/*

	# Copy installed packages from builder
	COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
	COPY --from=builder /usr/local/bin /usr/local/bin

	# Copy application code
	COPY app ./app

	# Pre-download SigLIP model during build (cache in image)
	# This avoids downloading on every cold start
	RUN python -c "from open_clip import create_model_and_transforms; \
	model, _, preprocess = create_model_and_transforms('ViT-B-16-SigLIP', pretrained='webli'); \
	print('✅ SigLIP model cached')"

	# Create cache directory for HF models
	RUN mkdir -p /root/.cache/huggingface

	# Environment variables
	ENV PYTHONUNBUFFERED=1
	ENV PYTHONDONTWRITEBYTECODE=1

	# HF Spaces expects port 7860
	EXPOSE 7860

	# Health check
	HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
	CMD python -c "import httpx; httpx.get('http://localhost:7860/health')" \|\| exit 1

	# Run with uvicorn
	CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]