Merge pull request 'fresh-main' (#3) from fresh-main into main
Reviewed-on: https://gitea.argobox.com/InovinLabs/argobox/pulls/3
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commit
ced630b71a
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@ -63,13 +63,15 @@ const graphData = {
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edges: []
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};
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// Create edges between posts and their tags
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// Create edges between posts and their tags, and between related posts
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const processedPostPairs = new Set(); // Avoid duplicate A->B and B->A edges
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sortedPosts
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.filter(post => !post.data.draft)
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.forEach(post => {
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const postTags = post.data.tags || [];
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// Add edges from post to tags
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// 1. Add edges from post to tags
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postTags.forEach(tag => {
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graphData.edges.push({
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source: post.slug,
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@ -78,22 +80,60 @@ sortedPosts
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strength: 1
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});
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});
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// --- Find Related Posts (Explicit + Implicit) ---
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const MAX_RELATED_LINKS = 3;
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const MIN_SHARED_TAGS_FOR_LINK = 2;
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// Check if post references other posts (optional)
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// This requires a related_posts field in frontmatter
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if (post.data.related_posts && Array.isArray(post.data.related_posts)) {
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post.data.related_posts.forEach(relatedSlug => {
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// Make sure related post exists
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if (sortedPosts.some(p => p.slug === relatedSlug)) {
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graphData.edges.push({
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source: post.slug,
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target: relatedSlug,
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type: 'post-post',
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strength: 2
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});
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let relatedLinks = new Map(); // Use Map to store related slug and relation type (explicit/implicit)
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// a. Find explicitly related posts
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const explicitSlugs = new Set(post.data.related_posts || []);
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explicitSlugs.forEach(slug => {
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if (sortedPosts.some(p => p.slug === slug && !p.data.draft)) {
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relatedLinks.set(slug, 'explicit');
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}
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});
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// b. Find implicitly related posts by tag similarity (if needed)
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if (relatedLinks.size < MAX_RELATED_LINKS && postTags.length > 0) {
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const potentialRelated = sortedPosts
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.filter(otherPost =>
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!otherPost.data.draft &&
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otherPost.slug !== post.slug && // Not the same post
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!relatedLinks.has(otherPost.slug) // Not already added
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)
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.map(otherPost => {
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const otherTags = otherPost.data.tags || [];
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const sharedTagsCount = postTags.filter(tag => otherTags.includes(tag)).length;
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return { slug: otherPost.slug, score: sharedTagsCount };
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})
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.filter(item => item.score >= MIN_SHARED_TAGS_FOR_LINK)
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.sort((a, b) => b.score - a.score); // Sort by most shared tags
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potentialRelated.forEach(item => {
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if (relatedLinks.size < MAX_RELATED_LINKS) {
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relatedLinks.set(item.slug, 'implicit');
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}
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});
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}
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// 2. Create edges for the found related posts
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relatedLinks.forEach((relationType, relatedSlug) => {
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const pairKey1 = `${post.slug}-${relatedSlug}`;
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const pairKey2 = `${relatedSlug}-${post.slug}`;
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if (!processedPostPairs.has(pairKey1) && !processedPostPairs.has(pairKey2)) {
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graphData.edges.push({
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source: post.slug,
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target: relatedSlug,
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type: 'post-post',
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strength: relationType === 'explicit' ? 3 : 1.5 // Stronger edge for explicit links
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});
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processedPostPairs.add(pairKey1);
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processedPostPairs.add(pairKey2); // Add both directions to set
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}
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});
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});
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// Terminal commands for tech effect
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