da30ef19ed
Architecture Docker (8 services), FastAPI, TimescaleDB, Redis, Streamlit. Stratégies : scalping, intraday, swing. MLEngine + RegimeDetector (HMM). BacktestEngine + WalkForwardAnalyzer + Optuna optimizer. Routes API complètes dont /optimize async. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
37 lines
1.1 KiB
Docker
37 lines
1.1 KiB
Docker
FROM python:3.11-slim
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WORKDIR /app
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# Dépendances système + TA-Lib C (nécessaire pour feature engineering ML)
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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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libpq-dev \
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libgomp1 \
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git \
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&& wget https://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 && ./configure --prefix=/usr && make && make install \
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&& cd .. && rm -rf ta-lib ta-lib-0.4.0-src.tar.gz \
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&& rm -rf /var/lib/apt/lists/*
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# Toutes les dépendances (base + ml + dev)
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COPY docker/requirements/base.txt docker/requirements/ml.txt ./requirements/
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RUN pip install --no-cache-dir \
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-r requirements/base.txt \
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-r requirements/ml.txt \
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&& pip install --no-cache-dir \
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jupyterlab==4.0.9 \
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ipywidgets==8.1.1 \
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ipdb==0.13.13 \
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memory-profiler==0.61.0
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EXPOSE 8888
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CMD ["jupyter", "lab", \
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"--ip=0.0.0.0", \
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"--port=8888", \
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"--no-browser", \
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"--allow-root", \
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"--notebook-dir=/app/notebooks"]
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