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2025-11-Multi-Agent-GenAI-System/00-init-requirements.ipynb

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+   "outputs": [
+    {
+     "output_type": "stream",
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Catalog created smriti_sridhar\nSchema created smriti_sridhar.workday_demos\nVolume created /Volumes/smriti_sridhar/workday_demos/workday_unstructure_data\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "from datetime import datetime, timedelta\n",
+    "import random\n",
+    "from databricks.sdk import WorkspaceClient \n",
+    "import time\n",
+    "\n",
+    "w = WorkspaceClient()\n",
+    "current_user = w.current_user.me()\n",
+    "user_name = current_user.user_name.replace('@databricks.com', '').replace('.', '_')\n",
+    "token = w.tokens.create(comment=f\"sdk-{time.time_ns()}\").token_value\n",
+    "\n",
+    "## Catalog \n",
+    "catalog_name = user_name\n",
+    "spark.sql(f\"CREATE CATALOG IF NOT EXISTS {catalog_name}\")\n",
+    "\n",
+    "## Schema\n",
+    "schema_name = 'workday_demos'\n",
+    "spark.sql(f\"CREATE SCHEMA IF NOT EXISTS {catalog_name}.{schema_name}\")\n",
+    "\n",
+    "## Volume \n",
+    "volume_path = f\"/Volumes/{catalog_name}/{schema_name}/workday_unstructure_data\"\n",
+    "spark.sql(f\"CREATE VOLUME IF NOT EXISTS {catalog_name}.{schema_name}.workday_unstructure_data\")\n",
+    "\n",
+    "\n",
+    "print(f\"Catalog created {catalog_name}\")\n",
+    "print(f\"Schema created {catalog_name}.workday_demos\")\n",
+    "print(f\"Volume created /Volumes/{catalog_name}/{schema_name}/workday_unstructure_data\")"
+   ]
+  }
+ ],
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