added portfolio evidence

Case study 1/scripting/monitoring/collect-to-db.py

@@ -0,0 +1,80 @@
+from flask import Flask, request, jsonify
+import sqlite3
+from datetime import datetime
+import os
+
+app = Flask(__name__)
+DB_PATH = "metrics.db"
+
+# Creates the database table if it doesn't exist
+def init_db():
+    with sqlite3.connect(DB_PATH) as conn:
+        conn.execute("""
+            CREATE TABLE IF NOT EXISTS metrics (
+                id INTEGER PRIMARY KEY AUTOINCREMENT,
+                hostname TEXT,
+                os TEXT,
+                cpu_percent REAL,
+                memory_percent REAL,
+                disk_usage REAL,
+                timestamp TEXT
+            )
+        """)
+    print("Database initialized")
+
+# route for sending metrics
+@app.route('/collect', methods=['POST'])
+def collect():
+    data = request.get_json()
+
+    if not data or "hostname" not in data:
+        return jsonify({"error": "Invalid data"}), 400
+
+    timestamp = datetime.now().isoformat()
+
+    with sqlite3.connect(DB_PATH) as conn:
+        conn.execute("""
+            INSERT INTO metrics (hostname, os, cpu_percent, memory_percent, disk_usage, timestamp)
+            VALUES (?, ?, ?, ?, ?, ?)
+        """, (
+            data.get("hostname"),
+            data.get("os"),
+            data.get("cpu_percent"),
+            data.get("memory_percent"),
+            data.get("disk_usage"),
+            timestamp
+        ))
+        conn.commit()
+
+    print(f"[{timestamp}] Data received from {data.get('hostname')}")
+    return jsonify({"status": "stored"}), 200
+
+# for posting metrics which you can view in the browser 
+@app.route('/metrics', methods=['GET'])
+def list_metrics():
+    with sqlite3.connect(DB_PATH) as conn:
+        cursor = conn.execute("""
+            SELECT hostname, os, cpu_percent, memory_percent, disk_usage, timestamp
+            FROM metrics
+            ORDER BY id DESC
+            LIMIT 10
+        """)
+        rows = cursor.fetchall()
+
+    results = [
+        {
+            "hostname": row[0],
+            "os": row[1],
+            "cpu_percent": row[2],
+            "memory_percent": row[3],
+            "disk_usage": row[4],
+            "timestamp": row[5],
+        }
+        for row in rows
+    ]
+    return jsonify(results)
+
+if __name__ == '__main__':
+    if not os.path.exists(DB_PATH):
+        init_db()
+    app.run(host='0.0.0.0', port=5000)

Case study 1/scripting/monitoring/collect-to-log.py

@@ -0,0 +1,19 @@
+from flask import Flask, request, jsonify
+from datetime import datetime
+import json
+
+app = Flask(__name__)
+
+@app.route('/collect', methods=['POST'])
+def collect():
+    data = request.get_json()
+    timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+
+    with open("collected_data.log", "a") as f:
+        f.write(f"{timestamp} - {json.dumps(data)}\n")
+
+    print(f"[{timestamp}] Data received from {data.get('hostname', 'unknown')}")
+    return jsonify({"status": "success"}), 200
+
+if __name__ == '__main__':
+    app.run(host='0.0.0.0', port=5000)

Case study 1/scripting/monitoring/collected_data.log

@@ -0,0 +1 @@
+2025-10-28 14:55:03 - {"hostname": "hp-arch", "os": "Linux", "cpu_percent": 1.9, "memory_percent": 30.8, "disk_usage": 85.2, "time": "2025-10-28T14:55:03.021372"}

Case study 1/scripting/monitoring/prereq.txt

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+flask
+requests
+psutil

Case study 1/scripting/monitoring/send_metrics.py

@@ -0,0 +1,32 @@
+import psutil
+import platform
+import requests
+import socket
+from datetime import datetime
+
+SERVER_URL = "http://localhost:5000/collect"
+
+def collect_metrics():
+    data = {
+        "hostname": socket.gethostname(),
+        "os": platform.system(),
+        "cpu_percent": psutil.cpu_percent(interval=1),
+        "memory_percent": psutil.virtual_memory().percent,
+        "disk_usage": psutil.disk_usage('/').percent,
+        "time": datetime.now().isoformat()
+    }
+    return data
+
+def send_data(data):
+    try:
+        response = requests.post(SERVER_URL, json=data, timeout=5)
+        if response.status_code == 200:
+            print("Data sent successfully")
+        else:
+            print("Server returned:", response.status_code)
+    except Exception as e:
+        print("Error sending data:", e)
+
+if __name__ == "__main__":
+    metrics = collect_metrics()
+    send_data(metrics)