{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 🚀 Infrastructure Quick Reference — DAARION & MicroDAO\n",
    "\n",
    "**Версія:** 1.1.0  \n",
    "**Останнє оновлення:** 2025-01-17  \n",
    "\n",
    "Цей notebook містить швидкий довідник по серверах, репозиторіях та endpoints для DAGI Stack.\n",
    "\n",
    "**NEW:** Vision Encoder + Qdrant vector database (OpenCLIP ViT-L/14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Service Configuration (UPDATED with Vision Encoder + Qdrant)\n",
    "SERVICES = {\n",
    "    \"router\": {\"port\": 9102, \"container\": \"dagi-router\", \"health\": \"http://localhost:9102/health\"},\n",
    "    \"gateway\": {\"port\": 9300, \"container\": \"dagi-gateway\", \"health\": \"http://localhost:9300/health\"},\n",
    "    \"devtools\": {\"port\": 8008, \"container\": \"dagi-devtools\", \"health\": \"http://localhost:8008/health\"},\n",
    "    \"crewai\": {\"port\": 9010, \"container\": \"dagi-crewai\", \"health\": \"http://localhost:9010/health\"},\n",
    "    \"rbac\": {\"port\": 9200, \"container\": \"dagi-rbac\", \"health\": \"http://localhost:9200/health\"},\n",
    "    \"rag\": {\"port\": 9500, \"container\": \"dagi-rag-service\", \"health\": \"http://localhost:9500/health\"},\n",
    "    \"memory\": {\"port\": 8000, \"container\": \"dagi-memory-service\", \"health\": \"http://localhost:8000/health\"},\n",
    "    \"parser\": {\"port\": 9400, \"container\": \"dagi-parser-service\", \"health\": \"http://localhost:9400/health\"},\n",
    "    \"vision_encoder\": {\"port\": 8001, \"container\": \"dagi-vision-encoder\", \"health\": \"http://localhost:8001/health\", \"gpu\": True},\n",
    "    \"postgres\": {\"port\": 5432, \"container\": \"dagi-postgres\", \"health\": None},\n",
    "    \"redis\": {\"port\": 6379, \"container\": \"redis\", \"health\": \"redis-cli PING\"},\n",
    "    \"neo4j\": {\"port\": 7474, \"container\": \"neo4j\", \"health\": \"http://localhost:7474\"},\n",
    "    \"qdrant\": {\"port\": 6333, \"container\": \"dagi-qdrant\", \"health\": \"http://localhost:6333/healthz\"},\n",
    "    \"grafana\": {\"port\": 3000, \"container\": \"grafana\", \"health\": \"http://localhost:3000\"},\n",
    "    \"prometheus\": {\"port\": 9090, \"container\": \"prometheus\", \"health\": \"http://localhost:9090\"},\n",
    "    \"ollama\": {\"port\": 11434, \"container\": \"ollama\", \"health\": \"http://localhost:11434/api/tags\"}\n",
    "}\n",
    "\n",
    "print(\"Service\\t\\t\\tPort\\tContainer\\t\\t\\tHealth Endpoint\")\n",
    "print(\"=\"*100)\n",
    "for name, service in SERVICES.items():\n",
    "    health = service['health'] or \"N/A\"\n",
    "    gpu = \" [GPU]\" if service.get('gpu') else \"\"\n",
    "    print(f\"{name.upper():<20} {service['port']:<7} {service['container']:<30} {health}{gpu}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 🎨 Vision Encoder Service (NEW)\n",
    "\n",
    "### Overview\n",
    "- **Service:** Vision Encoder (OpenCLIP ViT-L/14)\n",
    "- **Port:** 8001\n",
    "- **GPU:** Required (NVIDIA CUDA)\n",
    "- **Embedding Dimension:** 768\n",
    "- **Vector DB:** Qdrant (port 6333/6334)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vision Encoder Configuration\n",
    "VISION_ENCODER = {\n",
    "    \"service\": \"vision-encoder\",\n",
    "    \"port\": 8001,\n",
    "    \"container\": \"dagi-vision-encoder\",\n",
    "    \"gpu_required\": True,\n",
    "    \"model\": \"ViT-L-14\",\n",
    "    \"pretrained\": \"openai\",\n",
    "    \"embedding_dim\": 768,\n",
    "    \"endpoints\": {\n",
    "        \"health\": \"http://localhost:8001/health\",\n",
    "        \"info\": \"http://localhost:8001/info\",\n",
    "        \"embed_text\": \"http://localhost:8001/embed/text\",\n",
    "        \"embed_image\": \"http://localhost:8001/embed/image\",\n",
    "        \"docs\": \"http://localhost:8001/docs\"\n",
    "    },\n",
    "    \"qdrant\": {\n",
    "        \"host\": \"qdrant\",\n",
    "        \"port\": 6333,\n",
    "        \"grpc_port\": 6334,\n",
    "        \"health\": \"http://localhost:6333/healthz\"\n",
    "    }\n",
    "}\n",
    "\n",
    "print(\"Vision Encoder Service Configuration:\")\n",
    "print(\"=\"*80)\n",
    "print(f\"Model: {VISION_ENCODER['model']} ({VISION_ENCODER['pretrained']})\")\n",
    "print(f\"Embedding Dimension: {VISION_ENCODER['embedding_dim']}\")\n",
    "print(f\"GPU Required: {VISION_ENCODER['gpu_required']}\")\n",
    "print(f\"\\nEndpoints:\")\n",
    "for name, url in VISION_ENCODER['endpoints'].items():\n",
    "    print(f\"  {name:15} {url}\")\n",
    "print(f\"\\nQdrant Vector DB:\")\n",
    "print(f\"  HTTP:  http://localhost:{VISION_ENCODER['qdrant']['port']}\")\n",
    "print(f\"  gRPC:  localhost:{VISION_ENCODER['qdrant']['grpc_port']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Vision Encoder Testing Commands\n",
    "VISION_ENCODER_TESTS = {\n",
    "    \"Health Check\": \"curl http://localhost:8001/health\",\n",
    "    \"Model Info\": \"curl http://localhost:8001/info\",\n",
    "    \"Text Embedding\": '''curl -X POST http://localhost:8001/embed/text -H \"Content-Type: application/json\" -d '{\"text\": \"DAARION governance\", \"normalize\": true}' ''',\n",
    "    \"Image Embedding\": '''curl -X POST http://localhost:8001/embed/image -H \"Content-Type: application/json\" -d '{\"image_url\": \"https://example.com/image.jpg\", \"normalize\": true}' ''',\n",
    "    \"Via Router (Text)\": '''curl -X POST http://localhost:9102/route -H \"Content-Type: application/json\" -d '{\"mode\": \"vision_embed\", \"message\": \"embed text\", \"payload\": {\"operation\": \"embed_text\", \"text\": \"test\", \"normalize\": true}}' ''',\n",
    "    \"Qdrant Health\": \"curl http://localhost:6333/healthz\",\n",
    "    \"Run Smoke Tests\": \"./test-vision-encoder.sh\"\n",
    "}\n",
    "\n",
    "print(\"Vision Encoder Testing Commands:\")\n",
    "print(\"=\"*80)\n",
    "for name, cmd in VISION_ENCODER_TESTS.items():\n",
    "    print(f\"\\n{name}:\")\n",
    "    print(f\"  {cmd}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 📖 Documentation Links (UPDATED)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Documentation References (UPDATED)\n",
    "DOCS = {\n",
    "    \"Main Guide\": \"../WARP.md\",\n",
    "    \"Infrastructure\": \"../INFRASTRUCTURE.md\",\n",
    "    \"Agents Map\": \"../docs/agents.md\",\n",
    "    \"RAG Ingestion Status\": \"../RAG-INGESTION-STATUS.md\",\n",
    "    \"HMM Memory Status\": \"../HMM-MEMORY-STATUS.md\",\n",
    "    \"Crawl4AI Status\": \"../CRAWL4AI-STATUS.md\",\n",
    "    \"Vision Encoder Status\": \"../VISION-ENCODER-STATUS.md\",\n",
    "    \"Vision Encoder Deployment\": \"../services/vision-encoder/README.md\",\n",
    "    \"Repository Management\": \"../DAARION_CITY_REPO.md\",\n",
    "    \"Server Setup\": \"../SERVER_SETUP_INSTRUCTIONS.md\",\n",
    "    \"Deployment\": \"../DEPLOY-NOW.md\",\n",
    "    \"Helion Status\": \"../STATUS-HELION.md\",\n",
    "    \"Architecture Index\": \"../docs/cursor/README.md\",\n",
    "    \"API Reference\": \"../docs/api.md\"\n",
    "}\n",
    "\n",
    "print(\"Documentation Quick Links:\")\n",
    "print(\"=\"*80)\n",
    "for name, path in DOCS.items():\n",
    "    print(f\"{name:<30} {path}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 📝 Notes & Updates\n",
    "\n",
    "### Recent Changes (2025-01-17)\n",
    "- ✅ **Added Vision Encoder Service** (port 8001) with OpenCLIP ViT-L/14\n",
    "- ✅ **Added Qdrant Vector Database** (port 6333/6334) for image/text embeddings\n",
    "- ✅ **GPU Support** via NVIDIA CUDA + Docker runtime\n",
    "- ✅ **DAGI Router integration** (mode: vision_embed)\n",
    "- ✅ **768-dim embeddings** for multimodal RAG\n",
    "- ✅ Created VISION-ENCODER-STATUS.md with full implementation details\n",
    "- ✅ Added test-vision-encoder.sh smoke tests\n",
    "\n",
    "### Services Count: 17 (from 15)\n",
    "- Total Services: 17\n",
    "- GPU Services: 1 (Vision Encoder)\n",
    "- Vector Databases: 1 (Qdrant)\n",
    "\n",
    "---\n",
    "\n",
    "**Last Updated:** 2025-01-17 by WARP AI  \n",
    "**Maintained by:** Ivan Tytar & DAARION Team"
   ]
  }
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