61 lines
1.8 KiB
TypeScript
61 lines
1.8 KiB
TypeScript
import { computePlacementRecencyScore } from "@/lib/scan-recency";
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export interface RawPost {
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externalId?: string;
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text: string;
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permalink?: string;
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authorName?: string;
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postedAt?: Date;
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likeCount?: number;
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replyCount?: number;
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repostCount?: number;
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}
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export interface RankedPost extends RawPost {
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score: number;
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}
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function recencyBoost(postedAt?: Date): number {
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if (!postedAt) return 0.5;
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const hours = (Date.now() - postedAt.getTime()) / (1000 * 60 * 60);
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if (hours <= 6) return 1.5;
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if (hours <= 24) return 1.2;
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if (hours <= 72) return 1.0;
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return 0.7;
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}
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export function computeScore(post: RawPost): number {
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const likes = post.likeCount ?? 0;
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const replies = post.replyCount ?? 0;
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const reposts = post.repostCount ?? 0;
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const engagement = likes * 1.0 + replies * 2.0 + reposts * 1.5;
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return engagement * recencyBoost(post.postedAt);
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}
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/** 置入海巡排序：互動為輔，時間窗口為主 */
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export function computePlacementScore(post: RawPost): number {
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const likes = post.likeCount ?? 0;
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const replies = post.replyCount ?? 0;
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const reposts = post.repostCount ?? 0;
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const engagement = likes * 0.6 + replies * 1.2 + reposts * 0.8;
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const recency = computePlacementRecencyScore(post.postedAt);
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return recency * 2.5 + Math.log10(engagement + 1) * 12;
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}
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function normalizeText(text: string): string {
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return text.trim().toLowerCase().replace(/\s+/g, " ");
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}
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export function rankAndDedupe(posts: RawPost[], limit = 20): RankedPost[] {
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const seen = new Set<string>();
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const ranked: RankedPost[] = [];
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for (const post of posts) {
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const key = post.externalId ?? `${post.authorName ?? ""}:${normalizeText(post.text).slice(0, 120)}`;
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if (seen.has(key)) continue;
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seen.add(key);
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ranked.push({ ...post, score: computeScore(post) });
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}
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return ranked.sort((a, b) => b.score - a.score).slice(0, limit);
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} |