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#!/bin/bash
# 馃惓 Script de gesti贸n completa de Docker para GPT Local
# Construye, publica y despliega containers en Docker Hub
set -e
# Cargar variables de entorno
if [ -f .env ]; then
export $(cat .env | grep -v '^#' | xargs)
fi
# Colores para output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m'
print_status() {
echo -e "${BLUE}[INFO]${NC} $1"
}
print_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
print_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
print_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Variables
DOCKER_USERNAME=${DOCKER_USERNAME:-"drtv"}
IMAGE_NAME=${DOCKER_IMAGE_NAME:-"gpt-local"}
VERSION=${1:-"latest"}
FULL_IMAGE_NAME="$DOCKER_USERNAME/$IMAGE_NAME:$VERSION"
# Funci贸n para construir imagen
build_image() {
print_status "Construyendo imagen Docker: $FULL_IMAGE_NAME"
# Crear Dockerfile optimizado si no existe una versi贸n reciente
create_optimized_dockerfile
# Construir imagen
if docker build -t "$FULL_IMAGE_NAME" -t "$DOCKER_USERNAME/$IMAGE_NAME:latest" .; then
print_success "Imagen construida exitosamente: $FULL_IMAGE_NAME"
# Mostrar tama帽o de la imagen
local size=$(docker images --format "table {{.Repository}}:{{.Tag}}\t{{.Size}}" | grep "$DOCKER_USERNAME/$IMAGE_NAME" | head -1 | awk '{print $2}')
print_status "Tama帽o de la imagen: $size"
else
print_error "Error construyendo la imagen"
return 1
fi
}
# Funci贸n para crear Dockerfile optimizado
create_optimized_dockerfile() {
cat > Dockerfile << 'EOF'
# 馃 GPT Local - Optimized Docker Container
FROM python:3.11-slim
# Metadata
LABEL maintainer="GPT Local Team"
LABEL description="Sistema de chat GPT local con Hugging Face"
LABEL version="1.0"
# Configurar variables de entorno
ENV PYTHONPATH=/app
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV HF_HOME=/app/.cache/huggingface
ENV TRANSFORMERS_CACHE=/app/.cache/huggingface
ENV TORCH_HOME=/app/.cache/torch
# Instalar dependencias del sistema
RUN apt-get update && apt-get install -y \
curl \
git \
build-essential \
&& rm -rf /var/lib/apt/lists/* \
&& apt-get clean
# Crear directorio de trabajo
WORKDIR /app
# Copiar archivos de requirements primero (para cache de Docker)
COPY requirements.txt requirements-dev.txt ./
# Instalar dependencias Python
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt
# Copiar c贸digo fuente
COPY . .
# Crear directorios necesarios
RUN mkdir -p models models_cache logs .cache/huggingface .cache/torch
# Configurar permisos
RUN chmod +x *.py && \
chmod +x *.sh 2>/dev/null || true
# Exponer puerto
EXPOSE 7860
# Healthcheck
HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
CMD curl -f http://localhost:7860/ || exit 1
# Comando por defecto (interfaz web)
CMD ["python3", "main.py"]
EOF
print_success "Dockerfile optimizado creado"
}
# Funci贸n para hacer push a Docker Hub
push_image() {
print_status "Subiendo imagen a Docker Hub: $FULL_IMAGE_NAME"
# Verificar login
if ! docker info | grep -q "Username: $DOCKER_USERNAME"; then
print_error "No est谩s logueado en Docker Hub como $DOCKER_USERNAME"
print_status "Ejecuta: echo 'tu_token' | docker login -u $DOCKER_USERNAME --password-stdin"
return 1
fi
# Push imagen con tag espec铆fico
if docker push "$FULL_IMAGE_NAME"; then
print_success "Imagen $FULL_IMAGE_NAME subida exitosamente"
else
print_error "Error subiendo imagen con tag $VERSION"
return 1
fi
# Push imagen latest
if docker push "$DOCKER_USERNAME/$IMAGE_NAME:latest"; then
print_success "Imagen latest subida exitosamente"
print_status "Imagen disponible en: https://hub.docker.com/r/$DOCKER_USERNAME/$IMAGE_NAME"
else
print_error "Error subiendo imagen latest"
return 1
fi
}
# Funci贸n para correr container localmente
run_container() {
local mode=${1:-"web"}
print_status "Ejecutando container en modo: $mode"
# Parar container si ya est谩 corriendo
docker stop "$DOCKER_USERNAME-$IMAGE_NAME" 2>/dev/null || true
docker rm "$DOCKER_USERNAME-$IMAGE_NAME" 2>/dev/null || true
case $mode in
"web")
docker run -d \
--name "$DOCKER_USERNAME-$IMAGE_NAME" \
-p 7860:7860 \
-v "$(pwd)/models_cache:/app/models_cache" \
-v "$(pwd)/logs:/app/logs" \
-e HUGGINGFACE_TOKEN="$HUGGINGFACE_TOKEN" \
-e DEFAULT_MODEL="$DEFAULT_MODEL" \
-e DEVICE="$DEVICE" \
"$FULL_IMAGE_NAME"
print_success "Container web ejecut谩ndose en: http://localhost:7860"
;;
"terminal")
docker run -it \
--name "$DOCKER_USERNAME-$IMAGE_NAME-terminal" \
-v "$(pwd)/models_cache:/app/models_cache" \
-e HUGGINGFACE_TOKEN="$HUGGINGFACE_TOKEN" \
-e DEFAULT_MODEL="$DEFAULT_MODEL" \
-e DEVICE="$DEVICE" \
"$FULL_IMAGE_NAME" \
python3 chat_terminal.py
;;
"dev")
docker run -it \
--name "$DOCKER_USERNAME-$IMAGE_NAME-dev" \
-p 7860:7860 \
-v "$(pwd):/app" \
-e HUGGINGFACE_TOKEN="$HUGGINGFACE_TOKEN" \
-e DEFAULT_MODEL="$DEFAULT_MODEL" \
-e DEVICE="$DEVICE" \
"$FULL_IMAGE_NAME" \
bash
;;
esac
}
# Funci贸n para correr con docker-compose
run_compose() {
local service=${1:-"gpt-local-web"}
print_status "Ejecutando con docker-compose: $service"
# Construir y ejecutar
if docker-compose up --build -d "$service"; then
print_success "Servicio $service ejecut谩ndose"
if [ "$service" = "gpt-local-web" ]; then
print_status "Interfaz web disponible en: http://localhost:7860"
fi
# Mostrar logs
print_status "Logs del servicio (Ctrl+C para salir):"
docker-compose logs -f "$service"
else
print_error "Error ejecutando docker-compose"
return 1
fi
}
# Funci贸n para limpiar im谩genes y containers
cleanup() {
print_status "Limpiando containers e im谩genes..."
# Parar todos los containers del proyecto
docker stop $(docker ps -q --filter "name=$DOCKER_USERNAME-$IMAGE_NAME") 2>/dev/null || true
# Remover containers
docker rm $(docker ps -aq --filter "name=$DOCKER_USERNAME-$IMAGE_NAME") 2>/dev/null || true
# Remover im谩genes no utilizadas
docker image prune -f
print_success "Limpieza completada"
}
# Funci贸n para mostrar estado
status() {
print_status "Estado de containers GPT Local:"
# Containers corriendo
echo "Containers corriendo:"
docker ps --filter "name=$DOCKER_USERNAME-$IMAGE_NAME" --format "table {{.Names}}\t{{.Status}}\t{{.Ports}}"
echo ""
echo "Im谩genes disponibles:"
docker images --filter "reference=$DOCKER_USERNAME/$IMAGE_NAME" --format "table {{.Repository}}\t{{.Tag}}\t{{.Size}}\t{{.CreatedSince}}"
echo ""
echo "Uso de espacio Docker:"
docker system df
}
# Funci贸n principal
main() {
local action=${1:-"help"}
local param=${2:-"latest"}
case $action in
"build")
build_image
;;
"push")
build_image
push_image
;;
"run")
run_container "$param"
;;
"compose")
run_compose "$param"
;;
"cleanup")
cleanup
;;
"status")
status
;;
"full")
build_image
push_image
print_status "馃帀 Pipeline completo ejecutado!"
;;
*)
echo "馃惓 Script de gesti贸n Docker para GPT Local"
echo ""
echo "Uso: $0 [comando] [par谩metro]"
echo ""
echo "Comandos:"
echo " build - Construir imagen Docker"
echo " push - Construir y subir a Docker Hub"
echo " run [web|terminal|dev] - Ejecutar container"
echo " compose [service] - Ejecutar con docker-compose"
echo " cleanup - Limpiar containers e im谩genes"
echo " status - Mostrar estado actual"
echo " full - Pipeline completo (build + push)"
echo ""
echo "Ejemplos:"
echo " $0 build # Construir imagen"
echo " $0 push # Construir y subir"
echo " $0 run web # Ejecutar interfaz web"
echo " $0 run terminal # Ejecutar chat terminal"
echo " $0 compose # Ejecutar con docker-compose"
echo ""
echo "Variables de entorno (archivo .env):"
echo " DOCKER_USERNAME=$DOCKER_USERNAME"
echo " DOCKER_IMAGE_NAME=$IMAGE_NAME"
echo " HUGGINGFACE_TOKEN=***"
;;
esac
}
# Ejecutar script
main "$@"
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