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https://github.com/svemagie/indiekit-endpoint-activitypub.git
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Add a dedicated fediverse reader view with: - Timeline view showing posts from followed accounts with threading, content warnings, boosts, and media display - Compose form with dual-path posting (quick AP reply + Micropub blog post) - Native AP interactions (like, boost, reply, follow/unfollow) - Notifications view for likes, boosts, follows, mentions, replies - Moderation tools (mute/block actors, keyword filters) - Remote actor profile pages with follow state - Automatic timeline cleanup with configurable retention - CSRF protection, XSS prevention, input validation throughout Removes Microsub bridge dependency — AP content now lives in its own MongoDB collections (ap_timeline, ap_notifications, ap_interactions, ap_muted, ap_blocked). Bumps version to 1.1.0.
89 lines
2.9 KiB
JavaScript
89 lines
2.9 KiB
JavaScript
/**
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* Timeline retention cleanup — removes old timeline items to prevent
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* unbounded collection growth and cleans up stale interaction tracking.
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*/
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/**
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* Remove timeline items beyond the retention limit and clean up
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* corresponding ap_interactions entries.
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*
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* Uses aggregation to identify exact items to delete by UID,
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* avoiding race conditions between finding and deleting.
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*
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* @param {object} collections - MongoDB collections
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* @param {number} retentionLimit - Max number of timeline items to keep
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* @returns {Promise<{removed: number, interactionsRemoved: number}>}
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*/
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export async function cleanupTimeline(collections, retentionLimit) {
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if (!collections.ap_timeline || retentionLimit <= 0) {
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return { removed: 0, interactionsRemoved: 0 };
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}
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const totalCount = await collections.ap_timeline.countDocuments();
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if (totalCount <= retentionLimit) {
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return { removed: 0, interactionsRemoved: 0 };
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}
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// Use aggregation to get exact UIDs beyond the retention limit.
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// This avoids race conditions: we delete by UID, not by date.
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const toDelete = await collections.ap_timeline
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.aggregate([
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{ $sort: { published: -1 } },
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{ $skip: retentionLimit },
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{ $project: { uid: 1 } },
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])
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.toArray();
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if (!toDelete.length) {
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return { removed: 0, interactionsRemoved: 0 };
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}
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const removedUids = toDelete.map((item) => item.uid).filter(Boolean);
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// Delete old timeline items by UID
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const deleteResult = await collections.ap_timeline.deleteMany({
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_id: { $in: toDelete.map((item) => item._id) },
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});
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// Clean up stale interactions for removed items
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let interactionsRemoved = 0;
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if (removedUids.length > 0 && collections.ap_interactions) {
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const interactionResult = await collections.ap_interactions.deleteMany({
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objectUrl: { $in: removedUids },
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});
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interactionsRemoved = interactionResult.deletedCount || 0;
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}
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const removed = deleteResult.deletedCount || 0;
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if (removed > 0) {
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console.info(
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`[ActivityPub] Timeline cleanup: removed ${removed} items, ${interactionsRemoved} stale interactions`,
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);
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}
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return { removed, interactionsRemoved };
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}
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/**
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* Schedule periodic timeline cleanup.
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*
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* @param {object} collections - MongoDB collections
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* @param {number} retentionLimit - Max number of timeline items to keep
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* @param {number} intervalMs - Cleanup interval in milliseconds (default: 24 hours)
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* @returns {NodeJS.Timeout} The interval timer (for cleanup if needed)
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*/
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export function scheduleCleanup(collections, retentionLimit, intervalMs = 86_400_000) {
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// Run immediately on startup
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cleanupTimeline(collections, retentionLimit).catch((error) => {
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console.error("[ActivityPub] Timeline cleanup failed:", error.message);
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});
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// Then run periodically
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return setInterval(() => {
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cleanupTimeline(collections, retentionLimit).catch((error) => {
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console.error("[ActivityPub] Timeline cleanup failed:", error.message);
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});
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}, intervalMs);
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}
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