Add BeanFlows MVP: coffee analytics dashboard, API, and web app
- Fix pipeline granularity: add market_year to cleaned/serving SQL models - Add DuckDB data access layer with async query functions (analytics.py) - Build Chart.js dashboard: supply/demand, STU ratio, top producers, YoY table - Add country comparison page with multi-select picker - Replace items CRUD with read-only commodity API (list, metrics, countries, CSV) - Configure BeanFlows plan tiers (Free/Starter/Pro) with feature gating - Rewrite public pages for coffee market intelligence positioning - Remove boilerplate items schema, update health check for DuckDB - Add test suite: 139 tests passing (dashboard, API, billing) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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web/Dockerfile
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web/Dockerfile
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# Build stage
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FROM python:3.12-slim AS build
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COPY --from=ghcr.io/astral-sh/uv:0.8 /uv /uvx /bin/
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WORKDIR /app
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ENV UV_COMPILE_BYTECODE=1 UV_LINK_MODE=copy
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COPY uv.lock pyproject.toml README.md ./
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COPY src/ ./src/
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RUN --mount=type=cache,target=/root/.cache/uv \
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uv sync --no-dev --frozen
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# Runtime stage
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FROM python:3.12-slim AS runtime
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ENV PATH="/app/.venv/bin:$PATH"
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RUN useradd -m -u 1000 appuser
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WORKDIR /app
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RUN mkdir -p /app/data && chown -R appuser:appuser /app
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COPY --from=build --chown=appuser:appuser /app .
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USER appuser
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ENV PYTHONUNBUFFERED=1
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ENV DATABASE_PATH=/app/data/app.db
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EXPOSE 5000
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CMD ["hypercorn", "beanflows.app:app", "--bind", "0.0.0.0:5000", "--workers", "1"]
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