fix: topic path

* chore: sync content to repo

* Update src/data/roadmaps/machine-learning/introduction@MEL6y3vwiqwAV6FQihF34.md

* Update src/data/roadmaps/machine-learning/what-is-an-ml-engineer@FgzPlLUfGdlZPvPku0-Xl.md

---------

Co-authored-by: kamranahmedse <4921183+kamranahmedse@users.noreply.github.com>
Co-authored-by: Kamran Ahmed <kamranahmed.se@gmail.com>

.github/workflows/sync-content-to-repo.yml

@@ -54,7 +54,7 @@ jobs:
             automated pr
           reviewers: arikchakma
           commit-message: "chore: sync content to repo"
-          title: "Sync Content to Repo - Automated"
+          title: "chore: sync content to repository"
           body: |
             ## Sync Content to Repo
             

.github/workflows/sync-repo-to-database.yml

@@ -10,6 +10,7 @@ on:
 jobs:
   sync-on-changes:
     runs-on: ubuntu-latest
+    if: github.actor != 'github-actions[bot]' && github.actor != 'dependabot[bot]'
     steps:
       - uses: actions/checkout@v4
         with:
@@ -63,4 +64,4 @@ jobs:
           echo "Changed files: ${{ steps.changed-files.outputs.changed_files }}"
           
           # Run your script with the changed file paths
-          npm run sync:repo-to-database -- --files="${{ steps.changed-files.outputs.changed_files }}" --secret=${{ secrets.TOPIC_CONTENT_SYNC_SECRET }}
+          npm run sync:repo-to-database -- --files="${{ steps.changed-files.outputs.changed_files }}" --secret=${{ secrets.GH_SYNC_SECRET }}

scripts/sync-content-to-repo.ts

@@ -2,6 +2,7 @@ import fs from 'node:fs/promises';
 import path from 'node:path';
 import { fileURLToPath } from 'node:url';
 import { slugify } from '../src/lib/slugger';
+import type { OfficialRoadmapDocument } from '../src/queries/official-roadmap';
 
 const __filename = fileURLToPath(import.meta.url);
 const __dirname = path.dirname(__filename);
@@ -43,7 +44,6 @@ export interface OfficialRoadmapTopicContentDocument {
   _id?: string;
   roadmapSlug: string;
   nodeId: string;
-  title: string;
   description: string;
   resources: OfficialRoadmapTopicResource[];
   createdAt: Date;
@@ -68,6 +68,25 @@ export async function roadmapTopics(
   return data;
 }
 
+export async function fetchRoadmapJson(
+  roadmapId: string,
+): Promise<OfficialRoadmapDocument> {
+  const response = await fetch(
+    `https://roadmap.sh/api/v1-official-roadmap/${roadmapId}`,
+  );
+
+  if (!response.ok) {
+    throw new Error(`Failed to fetch roadmap json: ${response.statusText}`);
+  }
+
+  const data = await response.json();
+  if (data.error) {
+    throw new Error(`Failed to fetch roadmap json: ${data.error}`);
+  }
+
+  return data;
+}
+
 // Directory containing the roadmaps
 const ROADMAP_CONTENT_DIR = path.join(
   __dirname,
@@ -76,12 +95,27 @@ const ROADMAP_CONTENT_DIR = path.join(
 );
 
 const allTopics = await roadmapTopics(roadmapSlug, secret);
+const roadmap = await fetchRoadmapJson(roadmapSlug);
+const { nodes } = roadmap;
+
 for (const topic of allTopics) {
-  const { title, nodeId } = topic;
+  const { nodeId } = topic;
 
-  const topicSlug = `${slugify(title)}@${nodeId}.md`;
+  const node = nodes.find((node) => node.id === nodeId);
+  if (!node) {
+    console.error(`Node not found: ${nodeId}`);
+    continue;
+  }
 
-  const topicPath = path.join(ROADMAP_CONTENT_DIR, topicSlug);
+  const label = node?.data?.label as string;
+  if (!label) {
+    console.error(`Label not found: ${nodeId}`);
+    continue;
+  }
+
+  const topicSlug = `${slugify(label)}@${nodeId}.md`;
+
+  const topicPath = path.join(ROADMAP_CONTENT_DIR, 'content', topicSlug);
   const topicDir = path.dirname(topicPath);
   const topicDirExists = await fs
     .stat(topicDir)
@@ -99,12 +133,10 @@ for (const topic of allTopics) {
 function prepareTopicContent(topic: OfficialRoadmapTopicContentDocument) {
   const { description, resources = [] } = topic;
 
-  const content = `${description}
-
-Visit the following resources to learn more:
-
-${resources.map((resource) => `- [@${resource.type}@${resource.title}](${resource.url})`).join('\n')}
-  `.trim();
+  let content = description;
+  if (resources.length > 0) {
+    content += `\n\nVisit the following resources to learn more:\n\n${resources.map((resource) => `- [@${resource.type}@${resource.title}](${resource.url})`).join('\n')}`;
+  }
 
   return content;
 }

scripts/sync-repo-to-database.ts

@@ -1,7 +1,6 @@
 import fs from 'node:fs/promises';
 import path from 'node:path';
 import { fileURLToPath } from 'node:url';
-import { slugify } from '../src/lib/slugger';
 import type { OfficialRoadmapDocument } from '../src/queries/official-roadmap';
 import { parse } from 'node-html-parser';
 import { markdownToHtml } from '../src/lib/markdown';
@@ -192,9 +191,8 @@ try {
     const htmlStringWithoutLinks = rootHtml.toString();
     const description = htmlToMarkdown(htmlStringWithoutLinks);
 
-    const updatedDescription = `# ${title?.textContent}
-
-${description}`.trim();
+    const updatedDescription =
+      `# ${title?.textContent}\n\n${description}`.trim();
 
     const label = node?.data?.label as string;
     if (!label) {
@@ -205,7 +203,6 @@ ${description}`.trim();
     topics.push({
       roadmapSlug,
       nodeId,
-      title: label,
       description: updatedDescription,
       resources: listLinks,
     });

src/components/GenerateCourse/ForkCourseAlert.tsx

@@ -25,7 +25,7 @@ export function ForkCourseAlert(props: ForkCourseAlertProps) {
       )}
     >
       <p className="text-sm text-balance">
-        Fork the course to track progress and make changes to the course.
+        Fork the course to track you progress and make changes to the course.
       </p>
 
       <button

src/data/roadmaps/data-engineer/data-engineer.md

@@ -4,9 +4,9 @@ pdfUrl: '/pdfs/roadmaps/data-engineer.pdf'
 order: 4.6
 renderer: "editor"
 briefTitle: 'Data Engineer'
-briefDescription: 'Step by step guide to becoming an Data Engineer in 2025'
+briefDescription: 'Step by step guide to becoming a Data Engineer in 2025'
 title: 'Data Engineer Roadmap'
-description: 'Step by step guide to becoming an Data Engineer in 2025'
+description: 'Step by step guide to becoming a Data Engineer in 2025'
 hasTopics: true
 isNew: true
 dimensions:
@@ -28,17 +28,17 @@ courses:
       title: 'Founder - roadmap.sh'
 schema:
   headline: 'Data Engineer Roadmap'
-  description: 'Learn how to become an Data Engineer with this interactive step by step guide in 2025. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.'
+  description: 'Learn how to become a Data Engineer with this interactive step by step guide in 2025. We also have resources and short descriptions attached to the roadmap items so you can get everything you want to learn in one place.'
   imageUrl: 'https://roadmap.sh/roadmaps/data-engineer.png'
   datePublished: '2025-08-13'
   dateModified: '2025-08-13'
 seo:
   title: 'Data Engineer Roadmap'
-  description: 'Learn to become an Data Engineer using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern data engineers.'
+  description: 'Learn to become a Data Engineer using this roadmap. Community driven, articles, resources, guides, interview questions, quizzes for modern data engineers.'
   keywords:
     - 'data engineer roadmap 2025'
     - 'data engineering roadmap 2025'
-    - 'guide to becoming an data engineer'
+    - 'guide to becoming a data engineer'
     - 'easy data engineer roadmap'
     - 'data engineer'
     - 'data engineer roadmap'

src/data/roadmaps/machine-learning/introduction@MEL6y3vwiqwAV6FQihF34.md

@@ -0,0 +1,3 @@
+# Introduction to Machine Learning
+
+Machine learning is about creating computer programs that can learn from data. Instead of being explicitly programmed to perform a task, these programs improve their performance on a specific task as they are exposed to more data. This learning process allows them to make predictions or decisions without being directly told how to do so.

src/data/roadmaps/machine-learning/what-is-an-ml-engineer@FgzPlLUfGdlZPvPku0-Xl.md

@@ -0,0 +1,3 @@
+# ML Engineer
+
+An ML Engineer focuses on building, deploying, and maintaining machine learning systems in production. They bridge the gap between data science and software engineering, taking models developed by data scientists and making them scalable, reliable, and efficient for real-world applications. This involves tasks like data pipeline construction, model deployment, performance monitoring, and infrastructure management.