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# syntax=docker/dockerfile:1.4
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# Multi-stage build for FastAPI backend with optimized caching
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# Multi-stage build for FastAPI backend - Railway optimized
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# Optimization: Split dependencies into stable base + app layers for better cache hits
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FROM python:3.11-slim as builder
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# Set working directory
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WORKDIR /app
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# Install system dependencies (cached layer)
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# Install system dependencies (cached layer - rarely changes)
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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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git \
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&& rm -rf /var/lib/apt/lists/*
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# Upgrade pip once (cached layer)
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# Upgrade pip (cached layer)
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RUN pip install --no-cache-dir --upgrade pip
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# Copy ONLY requirements first for better layer caching
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# This layer only rebuilds when requirements.txt changes
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COPY backend/requirements.txt .
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# OPTIMIZATION: Install heavy/stable dependencies first (better layer caching)
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# These packages rarely change and take longest to install
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RUN pip install --no-cache-dir --prefer-binary \
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torch --index-url https://download.pytorch.org/whl/cpu || true
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# Install Python dependencies with BuildKit cache mount
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# This caches downloaded packages between builds, dramatically speeding up rebuilds
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RUN --mount=type=cache,id=pip-cache,target=/root/.cache/pip \
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pip install --prefer-binary -r requirements.txt
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# Install ML/NLP packages that are large but stable
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RUN pip install --no-cache-dir --prefer-binary \
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sentence-transformers \
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chromadb \
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langchain-openai \
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langchain-experimental \
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langchain_anthropic \
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langchain-google-genai \
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langgraph
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# Install data processing packages
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RUN pip install --no-cache-dir --prefer-binary \
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polars \
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pyarrow \
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pandas \
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numpy \
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matplotlib
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# Copy and install remaining requirements
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COPY backend/requirements.txt .
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RUN pip install --no-cache-dir --prefer-binary -r requirements.txt
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# Production stage
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FROM python:3.11-slim
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@ -33,7 +50,7 @@ WORKDIR /app
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COPY --from=builder /usr/local/lib/python3.11/site-packages /usr/local/lib/python3.11/site-packages
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COPY --from=builder /usr/local/bin /usr/local/bin
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# Copy application code from backend directory (including __main__.py for python -m)
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# Copy application code from backend directory
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COPY backend ./backend
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# Copy tradingagents package from project root
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@ -49,5 +66,5 @@ RUN mkdir -p /app/results
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EXPOSE 8000
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# Run the application using the PORT environment variable (required by Railway)
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# Using --reload false to prevent hot-reload issues in production
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CMD ["sh", "-c", "python -m backend --reload false --port ${PORT:-8000}"]
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