f46846fcee
- Add .gitea/workflows/ci-cd.yaml with test and build-push jobs - Tests run on every push to main, builds trigger on v* tags - Builds both engine and UI Docker images to Gitea container registry - Update Dockerfile to Python 3.12 (matches pyproject.toml requirement) - Requires REGISTRY_USERNAME and REGISTRY_PASSWORD secrets in Gitea
70 lines
2.0 KiB
Docker
70 lines
2.0 KiB
Docker
# TradeFinder Dockerfile
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# Multi-stage build for engine and UI targets
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# =============================================================================
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# BASE IMAGE
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# =============================================================================
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FROM python:3.12-slim AS base
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# System dependencies for TA-Lib and general build
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RUN apt-get update && apt-get install -y --no-install-recommends \
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build-essential \
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wget \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install TA-Lib C library
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RUN wget -q http://prdownloads.sourceforge.net/ta-lib/ta-lib-0.4.0-src.tar.gz \
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&& tar -xzf ta-lib-0.4.0-src.tar.gz \
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&& cd ta-lib \
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&& ./configure --prefix=/usr \
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&& make \
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&& make install \
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&& cd .. \
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&& rm -rf ta-lib ta-lib-0.4.0-src.tar.gz
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# Set working directory
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WORKDIR /app
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# Copy project files
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COPY pyproject.toml README.md ./
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COPY src/ ./src/
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# Install Python dependencies
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RUN pip install --no-cache-dir --upgrade pip \
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&& pip install --no-cache-dir -e ".[dev]"
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# =============================================================================
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# ENGINE TARGET (trading engine, backtester, optimizer)
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# =============================================================================
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FROM base AS engine
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# Create non-root user for security
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RUN useradd --create-home --shell /bin/bash trader
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RUN mkdir -p /data && chown -R trader:trader /data /app
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USER trader
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# Default command
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CMD ["python", "-m", "tradefinder.core.main"]
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# =============================================================================
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# UI TARGET (Streamlit dashboard)
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# =============================================================================
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FROM base AS ui
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# Install additional UI dependencies
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RUN pip install --no-cache-dir streamlit plotly
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# Create non-root user
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RUN useradd --create-home --shell /bin/bash trader
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RUN mkdir -p /data && chown -R trader:trader /data /app
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USER trader
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# Expose Streamlit port
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EXPOSE 8501
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# Default command
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CMD ["streamlit", "run", "src/tradefinder/ui/app.py", "--server.port=8501", "--server.address=0.0.0.0"]
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