Preparar repositorio para despliegue: código fuente limpio

Dockerfile.llm_worker

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+FROM nvidia/cuda:12.1.0-devel-ubuntu22.04
+
+# Evitar prompts interactivos
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+
+# Instalar dependencias del sistema
+RUN apt-get update && apt-get install -y \
+    python3.10 \
+    python3-pip \
+    git \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+# Crear directorio de trabajo
+WORKDIR /app
+
+# Actualizar pip
+RUN pip3 install --upgrade pip setuptools wheel
+
+# Instalar dependencias de PyTorch (CUDA 12.1)
+RUN pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
+
+# Instalar ExLlamaV2
+RUN pip3 install exllamav2
+
+# Instalar otras dependencias
+RUN pip3 install \
+    psycopg2-binary \
+    huggingface-hub \
+    sentencepiece \
+    ninja
+
+# Instalar python-is-python3 para compatibilidad
+RUN apt-get update && apt-get install -y python-is-python3 && rm -rf /var/lib/apt/lists/*
+
+# Copiar código del worker
+COPY workers/llm_categorizer_worker.py /app/workers/llm_categorizer_worker.py
+COPY workers/__init__.py /app/workers/__init__.py
+
+# Crear directorios para modelos y cache
+RUN mkdir -p /app/models/llm /app/hf_cache
+
+# Variables de entorno
+ENV HF_HOME=/app/hf_cache
+ENV TRANSFORMERS_CACHE=/app/hf_cache
+
+# Healthcheck opcional
+HEALTHCHECK --interval=60s --timeout=10s --start-period=120s \
+    CMD python3 -c "import sys; sys.exit(0)" || exit 1
+
+# Comando por defecto
+CMD ["python3", "-m", "workers.llm_categorizer_worker"]