#!/bin/bash

NAMESPACE=rag

SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" &> /dev/null && pwd )"

check_dependencies(){
  echo "Checking dependencies..."
  command -v kubectl >/dev/null 2>&1 || { echo "Error: kubectl command not found"; exit 1; }
  command -v helm >/dev/null 2>&1 || { echo "Error: helm command not found"; exit 1; }

  # Check if Kubernetes is available
  echo "Checking if Kubernetes is available..."
  kubectl cluster-info &>/dev/null
  if [ $? -ne 0 ]; then
      echo "Error: Kubernetes cluster is not accessible. Please ensure you have proper access to a Kubernetes cluster."
      exit 1
  fi
  echo "Kubernetes cluster is accessible."
}

check_dependencies

if [ -z "$OPENAI_API_KEY" ]; then
  echo "OPENAI_API_KEY environment variable is not set"
  read -s -p "Enter your OpenAI API key: " OPENAI_API_KEY
  if [ -z "$OPENAI_API_KEY" ]; then
    echo "Error: OPENAI_API_KEY must be provided"
    exit 1
  fi
  export OPENAI_API_KEY=$OPENAI_API_KEY
fi

if [ -z "$OPENAI_API_BASE" ]; then
  echo "OPENAI_API_BASE environment variable is not set, will use default value"
  read -p "Enter OpenAI API base URL (press Enter to skip if not needed): " OPENAI_API_BASE
  export OPENAI_API_BASE=$OPENAI_API_BASE
fi

required_env_vars=("OPENAI_API_BASE" "OPENAI_API_KEY")

for var in "${required_env_vars[@]}"; do
  if [ -z "${!var}" ]; then
    echo "Error: $var environment variable is not set"
    exit 1
  fi
done

if ! kubectl get namespace rag &> /dev/null; then
  echo "creating namespace 'rag'..."
  kubectl create namespace rag
fi

helm upgrade --install lightrag-dev $SCRIPT_DIR/lightrag \
  --namespace rag \
  --set-string env.LIGHTRAG_KV_STORAGE=JsonKVStorage \
  --set-string env.LIGHTRAG_VECTOR_STORAGE=NanoVectorDBStorage \
  --set-string env.LIGHTRAG_GRAPH_STORAGE=NetworkXStorage \
  --set-string env.LIGHTRAG_DOC_STATUS_STORAGE=JsonDocStatusStorage \
  --set-string env.LLM_BINDING=openai \
  --set-string env.LLM_MODEL=gpt-4o-mini \
  --set-string env.LLM_BINDING_HOST=$OPENAI_API_BASE \
  --set-string env.LLM_BINDING_API_KEY=$OPENAI_API_KEY \
  --set-string env.EMBEDDING_BINDING=openai \
  --set-string env.EMBEDDING_MODEL=text-embedding-ada-002 \
  --set-string env.EMBEDDING_DIM=1536 \
  --set-string env.EMBEDDING_BINDING_API_KEY=$OPENAI_API_KEY

# Wait for LightRAG pod to be ready
echo ""
echo "Waiting for lightrag-dev pod to be ready..."
kubectl wait --for=condition=ready pod -l app.kubernetes.io/instance=lightrag-dev --timeout=300s -n rag
echo "lightrag-dev pod is ready"
echo ""
echo "Running Port-Forward:"
echo "    kubectl --namespace rag port-forward svc/lightrag-dev 9621:9621"
echo "==========================================="
echo ""
echo "✅ You can visit LightRAG at: http://localhost:9621"
echo ""
kubectl --namespace rag port-forward svc/lightrag-dev 9621:9621