Day1: Grafana Dashboard Metrics Summarizer

week1/community-contributions/mock-dashboard-summary/day1-dashboard-metrics-summary.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "de3b5d4c",
+   "metadata": {},
+   "source": [
+    "# 🧠 Grafana Dashboard Summarizer\n",
+    "Simulate reading a Grafana dashboard JSON and summarize its panels using GPT or plain logic."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0abf3aaf",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "from dotenv import load_dotenv\n",
+    "from IPython.display import Markdown, display\n",
+    "from openai import OpenAI\n",
+    "import json\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ad82ca65",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "with open(\"mock_grafana_dashboard.json\", \"r\") as f:\n",
+    "    data = json.load(f)\n",
+    "\n",
+    "dashboard = data[\"dashboard\"]\n",
+    "panels = dashboard[\"panels\"]\n",
+    "print(f\"Dashboard Title: {dashboard['title']}\")\n",
+    "print(f\"Total Panels: {len(panels)}\\n\")\n",
+    "for p in panels:\n",
+    "    print(f\"- {p['title']} ({p['type']})\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1bf45c0f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extracting panel data\n",
+    "\n",
+    "panel_data = []\n",
+    "for p in panels:\n",
+    "    thresholds = p.get(\"fieldConfig\", {}).get(\"defaults\", {}).get(\"thresholds\", {}).get(\"steps\", [])\n",
+    "    panel_data.append({\n",
+    "        \"Title\": p[\"title\"],\n",
+    "        \"Type\": p[\"type\"],\n",
+    "        \"Unit\": p.get(\"fieldConfig\", {}).get(\"defaults\", {}).get(\"unit\", \"N/A\"),\n",
+    "        \"Thresholds\": thresholds\n",
+    "    })\n",
+    "\n",
+    "df = pd.DataFrame(panel_data)\n",
+    "df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90b67133",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "summary_prompt = f\"\"\"\n",
+    "You are a helpful assistant summarizing a system monitoring dashboard.\n",
+    "\n",
+    "Dashboard: {dashboard['title']}\n",
+    "Panels:\n",
+    "\"\"\"\n",
+    "for idx, row in df.iterrows():\n",
+    "    summary_prompt += f\"- {row['Title']} [{row['Type']}] - Unit: {row['Unit']}, Thresholds: {row['Thresholds']}\\n\"\n",
+    "\n",
+    "print(summary_prompt)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "69a4208c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "load_dotenv(override=True)\n",
+    "api_key = os.getenv('OPENAI_API_KEY')\n",
+    "# Check the key\n",
+    "\n",
+    "if not api_key:\n",
+    "    print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n",
+    "elif not api_key.startswith(\"sk-proj-\"):\n",
+    "    print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n",
+    "elif api_key.strip() != api_key:\n",
+    "    print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n",
+    "else:\n",
+    "    print(\"API key found and looks good so far!\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2eee5a32",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "openai = OpenAI()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "660eedb7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def summarize():\n",
+    "    response = openai.chat.completions.create(\n",
+    "    model=\"gpt-4o-mini\",\n",
+    "    messages=[\n",
+    "        {\"role\": \"system\", \"content\": \"You are a Grafana dashboard summarizer.\"},\n",
+    "        {\"role\": \"user\", \"content\": summary_prompt}\n",
+    "    ]\n",
+    ")\n",
+    "    return response.choices[0].message.content"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "55f57d56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "summary = summarize()\n",
+    "display(Markdown(summary))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "10dbfd6c",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "arunllms",
+   "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": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

week1/community-contributions/mock-dashboard-summary/mock_grafana_dashboard.json

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+{
+    "dashboard": {
+      "id": null,
+      "uid": "mock-sys-metrics",
+      "title": "Mock System Metrics Dashboard",
+      "timezone": "browser",
+      "panels": [
+        {
+          "id": 1,
+          "title": "CPU Usage (%)",
+          "type": "stat",
+          "datasource": "MockData",
+          "targets": [],
+          "fieldConfig": {
+            "defaults": {
+              "unit": "percent",
+              "thresholds": {
+                "mode": "percentage",
+                "steps": [
+                  { "color": "green", "value": null },
+                  { "color": "orange", "value": 70 },
+                  { "color": "red", "value": 90 }
+                ]
+              }
+            }
+          },
+          "options": {
+            "reduceOptions": {
+              "calcs": ["mean"]
+            }
+          }
+        },
+        {
+          "id": 2,
+          "title": "Memory Usage",
+          "type": "gauge",
+          "datasource": "MockData",
+          "fieldConfig": {
+            "defaults": {
+              "unit": "bytes",
+              "max": 16e9,
+              "thresholds": {
+                "steps": [
+                  { "color": "green", "value": null },
+                  { "color": "orange", "value": 12e9 },
+                  { "color": "red", "value": 14e9 }
+                ]
+              }
+            }
+          }
+        },
+        {
+          "id": 3,
+          "title": "Disk Read Errors",
+          "type": "stat",
+          "datasource": "MockData",
+          "fieldConfig": {
+            "defaults": {
+              "unit": "short",
+              "thresholds": {
+                "steps": [
+                  { "color": "green", "value": null },
+                  { "color": "orange", "value": 5 },
+                  { "color": "red", "value": 10 }
+                ]
+              }
+            }
+          }
+        },
+        {
+          "id": 4,
+          "title": "GPU Usage (%)",
+          "type": "gauge",
+          "datasource": "MockData",
+          "fieldConfig": {
+            "defaults": {
+              "unit": "percent",
+              "thresholds": {
+                "steps": [
+                  { "color": "green", "value": null },
+                  { "color": "orange", "value": 75 },
+                  { "color": "red", "value": 90 }
+                ]
+              }
+            }
+          }
+        }
+      ],
+      "schemaVersion": 30,
+      "version": 1,
+      "refresh": "30s"
+    },
+    "overwrite": true
+  }
+