feat(notebooks): Creating notebooks for fraud detection, enabling two connections.

demo/notebooks/0_quickstart-readiness-check.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6ac5f2fd-0daf-43b9-83d5-30dfd2162f0e",
+   "metadata": {},
+   "source": [
+    "# Fraud Detection with LakeFS - Quick Start\n",
+    "\n",
+    "Welcome to your Jupyter notebook environment! This workspace is pre-configured for fraud detection experiments with LakeFS data versioning.\n",
+    "\n",
+    "## 🚀 Getting Started\n",
+    "\n",
+    "### 1. Check Your Environment\n",
+    "\n",
+    "Run this in a notebook cell to verify connections:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "de2f8065-6c4e-4ce0-9ccf-deb493ea5fa7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LakeFS Endpoint: http://fraud-detection-lakefs\n",
+      "LakeFS Access Key: something\n",
+      "S3 Endpoint: None\n",
+      "S3 Access Key: None\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "# LakeFS connection\n",
+    "print(f\"LakeFS Endpoint: {os.getenv('LAKECTL_SERVER_ENDPOINT_URL')}\")\n",
+    "print(f\"LakeFS Access Key: {os.getenv('LAKECTL_CREDENTIALS_ACCESS_KEY_ID')}\")\n",
+    "\n",
+    "# MinIO connection\n",
+    "print(f\"S3 Endpoint: {os.getenv('AWS_S3_ENDPOINT')}\")\n",
+    "print(f\"S3 Access Key: {os.getenv('AWS_ACCESS_KEY_ID')}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "923694c6-d3b3-4a61-ba6e-b3161888f9ac",
+   "metadata": {},
+   "source": [
+    "### 2. Install Required Packages"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a7e3e96a-d795-4d48-82a3-dcfcc77d3520",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Install LakeFS client\n",
+    "!pip install lakefs-client boto3 pandas scikit-learn\n",
+    "\n",
+    "# For ML workloads\n",
+    "!pip install tensorflow torch transformers"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c78c9930-6db4-4113-9bbf-81eeb384e72e",
+   "metadata": {},
+   "source": [
+    "### 3. Connect to LakeFS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa962a99-7271-4c60-9872-7a10035548ff",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import lakefs_client\n",
+    "from lakefs_client.client import LakeFSClient\n",
+    "\n",
+    "# Configuration is already set via environment variables\n",
+    "configuration = lakefs_client.Configuration(\n",
+    "    host=os.getenv('LAKECTL_SERVER_ENDPOINT_URL'),\n",
+    "    username=os.getenv('LAKECTL_CREDENTIALS_ACCESS_KEY_ID'),\n",
+    "    password=os.getenv('LAKECTL_CREDENTIALS_SECRET_ACCESS_KEY')\n",
+    ")\n",
+    "\n",
+    "client = LakeFSClient(configuration)\n",
+    "\n",
+    "# List repositories\n",
+    "repos = client.repositories.list_repositories()\n",
+    "print(f\"Available repositories: {[repo.id for repo in repos['results']]}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e59ee38-768b-4746-95d8-c856f9a36ce9",
+   "metadata": {},
+   "source": [
+    "## 📚 Available Notebooks\n",
+    "\n",
+    "Navigate to `demo/notebooks/` to find:\n",
+    "\n",
+    "1. **0_quickstart-readiness-check.ipynb** - Validation of environment before quickstart\n",
+    "1. **1_experiment_train_lakefs.ipynb** - Train models with LakeFS versioning\n",
+    "2. **2_save_model_lakefs.ipynb** - Save and version ML models\n",
+    "3. **3_rest_requests_multi_model_lakefs.ipynb** - Multi-model REST inference\n",
+    "4. **4_grpc_requests_multi_model_lakefs.ipynb** - High-performance gRPC inference\n",
+    "5. **5_rest_requests_single_model_lakefs.ipynb** - Single model deployment\n",
+    "6. **8_distributed_training_lakefs.ipynb** - Distributed training patterns\n",
+    "\n",
+    "## 🔧 Pre-configured Services\n",
+    "\n",
+    "| Service | Endpoint | Purpose |\n",
+    "|---------|----------|---------|\n",
+    "| LakeFS | http://lakefs:8000 | Data versioning & management |\n",
+    "| MinIO | http://minio:9000 | S3-compatible object storage |\n",
+    "\n",
+    "## 💡 Tips\n",
+    "\n",
+    "- **Save frequently** - Your work is persisted on the PVC\n",
+    "- **Use LakeFS branches** - Create branches for experiments\n",
+    "- **Version your data** - Commit data changes to LakeFS\n",
+    "- **Monitor resources** - Check memory/CPU in the status bar\n",
+    "\n",
+    "## 📖 Learn More\n",
+    "\n",
+    "- [LakeFS Documentation](https://docs.lakefs.io/)\n",
+    "- [Chart README](https://github.com/rh-aiservices-bu/Fraud-Detection-data-versioning-with-lakeFS/blob/main/deploy/helm/fraud-detection/README.md)\n",
+    "- [OpenShift AI Documentation](https://access.redhat.com/documentation/en-us/red_hat_openshift_ai/)\n",
+    "\n",
+    "## 🆘 Need Help?\n",
+    "\n",
+    "Check the environment variables:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4338431b-64ac-40e5-a1cb-d0c17777683b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "env | grep -E '(LAKEFS|AWS)' | sort"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24ccc387-53fa-4aab-812f-397f724b35d1",
+   "metadata": {},
+   "source": [
+    "Test connectivity:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bcb6543a-3ec7-4c87-a97a-c32df6e6971c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import requests\n",
+    "response = requests.get(os.getenv('LAKECTL_SERVER_ENDPOINT_URL') + '/api/v1/healthcheck')\n",
+    "print(f\"LakeFS Status: {response.status_code}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7d7c4e57-e968-4797-b17a-65382fc8e5b9",
+   "metadata": {},
+   "source": [
+    "**Happy Experimenting! 🎉**"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.12",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}