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https://github.com/kennethreitz/kjvstudy.org.git
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kennethreitz
24c11f5f3a
Add SQLite FTS5 search index initialization to dramatically improve search performance from ~2.8s to <100ms. Changes: - Build search index at Docker image build time - Initialize search index on app startup as fallback - Index enables fast full-text search across all 31,102 verses Performance impact: - Before: ~2.8s (O(n) iteration through all verses) - After: <100ms (FTS5 indexed search) 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
52 lines
1.3 KiB
Docker
52 lines
1.3 KiB
Docker
FROM python:3.13 AS builder
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# Install uv
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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UV_COMPILE_BYTECODE=1 \
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UV_LINK_MODE=copy
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WORKDIR /app
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# Copy dependency files
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COPY pyproject.toml uv.lock ./
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# Install dependencies into the system
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RUN uv sync --frozen --no-install-project --no-dev
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FROM python:3.13-slim
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# Install uv
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COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv
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# Install WeasyPrint system dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libpango-1.0-0 \
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libharfbuzz0b \
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libpangoft2-1.0-0 \
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libffi8 \
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libgdk-pixbuf-2.0-0 \
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shared-mime-info \
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fonts-dejavu-core \
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&& rm -rf /var/lib/apt/lists/*
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ENV PYTHONUNBUFFERED=1 \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONPATH="/app" \
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PATH="/app/.venv/bin:$PATH"
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WORKDIR /app
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# Copy virtual environment from builder stage
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COPY --from=builder /app/.venv /app/.venv
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# Copy application code
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COPY . .
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# Build search index at image build time for fast searches
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RUN python3 -c "from kjvstudy_org.utils.search_index import init_search_index; init_search_index()"
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# Run the application using uvicorn directly
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CMD ["uvicorn", "kjvstudy_org.server:app", "--host", "0.0.0.0", "--port", "8000"] |