first (part 2: other directories)

ai-engine/Dockerfile

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+# --- AI Engine Dockerfile ---
+# Python 3.11 with v20+ prediction stack (XGBoost + LightGBM)
+
+FROM python:3.11-slim
+
+WORKDIR /app
+
+# System dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    libpq-dev \
+    curl \
+    libgomp1 \
+    procps \
+    && rm -rf /var/lib/apt/lists/*
+
+# Python dependencies
+# Install PyTorch CPU version separately to save space
+RUN pip install --no-cache-dir torch --index-url https://download.pytorch.org/whl/cpu
+
+# Copy requirements (without torch)
+COPY requirements-docker.txt requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create models directory
+RUN mkdir -p /app/models
+
+# Expose port
+EXPOSE 8000
+
+# Health check
+HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
+    CMD python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/health')" || exit 1
+
+# Start FastAPI with uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]