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claude-code
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193
web/lib/search/client-search.ts
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193
web/lib/search/client-search.ts
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import type { Conversation, SearchFilters, SearchResult, SearchResultMatch } from "@/lib/types";
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import { extractTextContent } from "@/lib/utils";
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import { tokenize, excerpt, highlight } from "./highlighter";
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/**
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* Score a text against a set of query tokens.
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* Returns 0 if no tokens match, otherwise a positive score.
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*/
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function scoreText(text: string, tokens: string[]): number {
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if (!text || tokens.length === 0) return 0;
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const lower = text.toLowerCase();
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let score = 0;
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for (const token of tokens) {
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const idx = lower.indexOf(token);
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if (idx === -1) continue;
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// Base score per token
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score += 1;
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// Bonus for word boundary match
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const before = idx === 0 || /\W/.test(lower[idx - 1]);
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const after = idx + token.length >= lower.length || /\W/.test(lower[idx + token.length]);
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if (before && after) score += 0.5;
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// Bonus for more occurrences (capped)
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const count = (lower.match(new RegExp(token.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"), "g")) ?? []).length;
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score += Math.min(count - 1, 3) * 0.2;
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}
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// Penalty if not all tokens match
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const matchedTokens = tokens.filter((t) => lower.includes(t));
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if (matchedTokens.length < tokens.length) {
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score *= matchedTokens.length / tokens.length;
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}
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return score;
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}
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/**
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* Extract plain-text content from a message for indexing.
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*/
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function messageText(content: Conversation["messages"][number]["content"]): string {
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if (typeof content === "string") return content;
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if (!Array.isArray(content)) return "";
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return content
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.map((block) => {
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if (block.type === "text") return block.text;
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if (block.type === "tool_use") return `${block.name} ${JSON.stringify(block.input)}`;
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if (block.type === "tool_result") {
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return typeof block.content === "string"
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? block.content
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: extractTextContent(block.content);
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}
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return "";
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})
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.join(" ");
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}
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/**
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* Run a client-side full-text search over an array of conversations.
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* Returns results sorted by relevance (highest score first).
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*/
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export function clientSearch(
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conversations: Conversation[],
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query: string,
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filters: SearchFilters = {}
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): SearchResult[] {
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const tokens = tokenize(query);
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if (tokens.length === 0 && !hasActiveFilters(filters)) return [];
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const results: SearchResult[] = [];
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const now = Date.now();
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for (const conv of conversations) {
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// --- Date filter ---
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if (filters.dateFrom && conv.updatedAt < filters.dateFrom) continue;
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if (filters.dateTo && conv.updatedAt > filters.dateTo + 86_400_000) continue;
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// --- Conversation filter ---
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if (filters.conversationId && conv.id !== filters.conversationId) continue;
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// --- Model filter ---
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if (filters.model && conv.model !== filters.model) continue;
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// --- Tag filter ---
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if (filters.tagIds && filters.tagIds.length > 0) {
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const convTags = new Set(conv.tags ?? []);
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if (!filters.tagIds.some((tid) => convTags.has(tid))) continue;
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}
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const matches: SearchResultMatch[] = [];
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let titleScore = 0;
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// Score the conversation title
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if (tokens.length > 0) {
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titleScore = scoreText(conv.title, tokens) * 1.5; // title matches weight more
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}
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for (const msg of conv.messages) {
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// --- Role filter ---
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if (filters.role && msg.role !== filters.role) continue;
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// --- Content type filter ---
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if (filters.contentType) {
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const hasType = matchesContentType(msg.content, filters.contentType);
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if (!hasType) continue;
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}
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const text = messageText(msg.content);
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if (!text) continue;
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let msgScore = tokens.length > 0 ? scoreText(text, tokens) : 1;
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if (msgScore === 0) continue;
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const ex = excerpt(text, query);
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const hl = highlight(ex, query);
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matches.push({
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messageId: msg.id,
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role: msg.role,
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excerpt: ex,
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highlighted: hl,
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score: msgScore,
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});
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}
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if (tokens.length === 0) {
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// Filter-only mode: include conversation with a synthetic match on the title
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results.push({
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conversationId: conv.id,
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conversationTitle: conv.title,
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conversationDate: conv.updatedAt,
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conversationModel: conv.model,
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matches: matches.length > 0 ? matches.slice(0, 5) : [],
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totalScore: 1,
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});
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continue;
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}
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if (matches.length === 0 && titleScore === 0) continue;
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const totalScore =
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titleScore + matches.reduce((sum, m) => sum + m.score, 0);
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// Sort matches by score descending, keep top 5
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matches.sort((a, b) => b.score - a.score);
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results.push({
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conversationId: conv.id,
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conversationTitle: conv.title,
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conversationDate: conv.updatedAt,
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conversationModel: conv.model,
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matches: matches.slice(0, 5),
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totalScore,
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});
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}
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// Sort results by total score descending
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results.sort((a, b) => b.totalScore - a.totalScore);
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return results;
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}
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function hasActiveFilters(filters: SearchFilters): boolean {
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return !!(
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filters.dateFrom ||
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filters.dateTo ||
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filters.role ||
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filters.conversationId ||
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filters.contentType ||
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filters.model ||
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(filters.tagIds && filters.tagIds.length > 0)
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);
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}
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function matchesContentType(
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content: Conversation["messages"][number]["content"],
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type: NonNullable<SearchFilters["contentType"]>
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): boolean {
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if (typeof content === "string") return type === "text";
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if (!Array.isArray(content)) return false;
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return content.some((block) => {
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if (type === "text" && block.type === "text") return true;
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if (type === "tool_use" && block.type === "tool_use") return true;
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if (type === "file" && block.type === "tool_use" && block.name?.includes("file")) return true;
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if (type === "code" && block.type === "text") {
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return block.text.includes("```") || block.text.includes(" ");
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}
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return false;
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});
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}
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