CSAI2026 labs: Lab-2..Lab-6 (Practical + Solution, data), Module-2..Module-6 notebooks and datasets
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mikrotik
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "db19a07f",
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"metadata": {},
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"source": [
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"# Module 2 — Lab 2: Control Flow and Functions\n",
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" \n",
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"**Topics:** if/elif/else, for, while, break, continue, function\n",
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"\n",
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"\n",
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"> **Solution version:** This notebook contains the complete solution. Run the cells in order and compare the results with your Lab notebook.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "0d178b19",
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"metadata": {},
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"source": [
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"## Scenario\n",
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"\n",
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"You need to build small rules that classify login alerts and automatically review a list of IP addresses. All activity is simulated with local data; this notebook does not connect to or scan any real system.\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "56bc45d4",
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"metadata": {
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"tags": [
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"exercise"
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]
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},
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"source": [
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"## 1. Classify failed login attempts\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "dac7be01",
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"metadata": {
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"tags": [
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"solution"
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]
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},
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"outputs": [],
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"source": [
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"failed_attempts = 7\n",
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"\n",
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"if failed_attempts >= 10:\n",
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" severity = \"CRITICAL\"\n",
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"elif failed_attempts >= 5:\n",
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" severity = \"HIGH\"\n",
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"elif failed_attempts >= 1:\n",
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" severity = \"MEDIUM\"\n",
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"else:\n",
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" severity = \"LOW\"\n",
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"\n",
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"print(severity)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "63b6d1a8",
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"metadata": {
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"tags": [
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"exercise"
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]
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},
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"source": [
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"## 2. Review IP addresses with `for`, `continue`, and `break`\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3820130f",
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"metadata": {
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"tags": [
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"solution"
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]
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},
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"outputs": [],
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"source": [
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"blocked_ips = {\"10.0.0.5\", \"10.0.0.12\"}\n",
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"targets = [f\"10.0.0.{i}\" for i in range(1, 16)]\n",
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"reviewed = []\n",
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"\n",
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"for ip in targets:\n",
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" last_octet = int(ip.split(\".\")[-1])\n",
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"\n",
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" if last_octet % 2 != 0:\n",
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" continue\n",
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"\n",
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" reviewed.append(ip)\n",
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" print(f\"Reviewing: {ip}\")\n",
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"\n",
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" if ip in blocked_ips:\n",
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" print(f\"Alert: blocked IP found: {ip}\")\n",
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" break\n",
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"\n",
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"print(\"Reviewed:\", reviewed)\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "61f09e15",
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"metadata": {
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"tags": [
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"exercise"
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]
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},
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"source": [
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"## 3. Limit retry attempts with `while`\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0ec1dc95",
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"metadata": {
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"tags": [
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"solution"
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]
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},
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"outputs": [],
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"source": [
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"attempt = 0\n",
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"max_attempts = 3\n",
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"service_responded = False\n",
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"\n",
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"while attempt < max_attempts and not service_responded:\n",
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" attempt += 1\n",
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" print(f\"Health check attempt {attempt}\")\n",
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" service_responded = attempt == 2\n",
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"\n",
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"print(f\"Service responded: {service_responded}\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b849e734",
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"metadata": {
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"tags": [
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"exercise"
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]
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},
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"source": [
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"## 4. Package a rule in a function\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a34324a1",
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"metadata": {
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"tags": [
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"solution"
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]
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},
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"outputs": [],
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"source": [
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"def classify_login_risk(failed_attempts, is_admin=False, is_off_hours=False):\n",
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" # Return LOW, MEDIUM, HIGH, or CRITICAL for a login event.\n",
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" score = failed_attempts * 10\n",
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" if is_admin:\n",
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" score += 25\n",
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" if is_off_hours:\n",
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" score += 15\n",
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"\n",
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" if score >= 100:\n",
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" return \"CRITICAL\"\n",
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" if score >= 60:\n",
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" return \"HIGH\"\n",
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" if score >= 30:\n",
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" return \"MEDIUM\"\n",
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" return \"LOW\"\n",
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"\n",
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"\n",
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"print(classify_login_risk(2))\n",
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"print(classify_login_risk(7, is_off_hours=True))\n",
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"print(classify_login_risk(8, is_admin=True))\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "aba3b1a8",
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"metadata": {},
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"source": [
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"## Self-check\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "de52830d",
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"metadata": {},
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"outputs": [],
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"source": [
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"assert severity == \"HIGH\"\n",
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"assert reviewed == [\"10.0.0.2\", \"10.0.0.4\", \"10.0.0.6\", \"10.0.0.8\", \"10.0.0.10\", \"10.0.0.12\"]\n",
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"assert attempt == 2 and service_responded is True\n",
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"assert classify_login_risk(2) == \"LOW\"\n",
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"assert classify_login_risk(7, is_off_hours=True) == \"HIGH\"\n",
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"assert classify_login_risk(8, is_admin=True) == \"CRITICAL\"\n",
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"print(\"✓ Lab 2 completed\")\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c97e0f71",
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"metadata": {},
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"source": [
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"## Extension challenge\n",
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"\n",
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"Modify the function to add 20 points when `source_ip` belongs to a set of blocked IP addresses. Write at least two `assert` statements for the new rule.\n"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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