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Author SHA1 Message Date
Daniel LaForce ced630b71a Merge pull request 'fresh-main' (#3) from fresh-main into main
Reviewed-on: https://gitea.argobox.com/InovinLabs/argobox/pulls/3
2025-05-02 04:07:51 +00:00
Daniel LaForce 50c24407f2 Feat: Implement combined related posts logic for main graph
Adds tag similarity fallback for post connections on main knowledge graph, ensuring preview functionality remains intact.
2025-05-01 22:04:31 -06:00
Daniel LaForce dba0eac3e4 Revert "Feat: Add tag similarity logic to main knowledge graph"
This reverts commit ccc74b9490.
2025-05-01 22:01:11 -06:00
Daniel LaForce ccc74b9490 Feat: Add tag similarity logic to main knowledge graph
Aligns main graph post connections with individual post page logic (explicit related_posts + tag similarity fallback). Reverts manual related_posts addition.
2025-05-01 21:41:48 -06:00
1 changed files with 54 additions and 14 deletions

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@ -63,13 +63,15 @@ const graphData = {
edges: []
};
// Create edges between posts and their tags
// Create edges between posts and their tags, and between related posts
const processedPostPairs = new Set(); // Avoid duplicate A->B and B->A edges
sortedPosts
.filter(post => !post.data.draft)
.forEach(post => {
const postTags = post.data.tags || [];
// Add edges from post to tags
// 1. Add edges from post to tags
postTags.forEach(tag => {
graphData.edges.push({
source: post.slug,
@ -79,21 +81,59 @@ sortedPosts
});
});
// Check if post references other posts (optional)
// This requires a related_posts field in frontmatter
if (post.data.related_posts && Array.isArray(post.data.related_posts)) {
post.data.related_posts.forEach(relatedSlug => {
// Make sure related post exists
if (sortedPosts.some(p => p.slug === relatedSlug)) {
graphData.edges.push({
source: post.slug,
target: relatedSlug,
type: 'post-post',
strength: 2
});
// --- Find Related Posts (Explicit + Implicit) ---
const MAX_RELATED_LINKS = 3;
const MIN_SHARED_TAGS_FOR_LINK = 2;
let relatedLinks = new Map(); // Use Map to store related slug and relation type (explicit/implicit)
// a. Find explicitly related posts
const explicitSlugs = new Set(post.data.related_posts || []);
explicitSlugs.forEach(slug => {
if (sortedPosts.some(p => p.slug === slug && !p.data.draft)) {
relatedLinks.set(slug, 'explicit');
}
});
// b. Find implicitly related posts by tag similarity (if needed)
if (relatedLinks.size < MAX_RELATED_LINKS && postTags.length > 0) {
const potentialRelated = sortedPosts
.filter(otherPost =>
!otherPost.data.draft &&
otherPost.slug !== post.slug && // Not the same post
!relatedLinks.has(otherPost.slug) // Not already added
)
.map(otherPost => {
const otherTags = otherPost.data.tags || [];
const sharedTagsCount = postTags.filter(tag => otherTags.includes(tag)).length;
return { slug: otherPost.slug, score: sharedTagsCount };
})
.filter(item => item.score >= MIN_SHARED_TAGS_FOR_LINK)
.sort((a, b) => b.score - a.score); // Sort by most shared tags
potentialRelated.forEach(item => {
if (relatedLinks.size < MAX_RELATED_LINKS) {
relatedLinks.set(item.slug, 'implicit');
}
});
}
// 2. Create edges for the found related posts
relatedLinks.forEach((relationType, relatedSlug) => {
const pairKey1 = `${post.slug}-${relatedSlug}`;
const pairKey2 = `${relatedSlug}-${post.slug}`;
if (!processedPostPairs.has(pairKey1) && !processedPostPairs.has(pairKey2)) {
graphData.edges.push({
source: post.slug,
target: relatedSlug,
type: 'post-post',
strength: relationType === 'explicit' ? 3 : 1.5 // Stronger edge for explicit links
});
processedPostPairs.add(pairKey1);
processedPostPairs.add(pairKey2); // Add both directions to set
}
});
});
// Terminal commands for tech effect