endfield-mcp/dist/data/worldviewSearch.js

MCP Server for Arknights: Endfield (TypeScript / stdio + Streamable HTTP)

/**
 * Worldview full-text search.
 *
 * Unlike the story domain (which ships a pre-built `search.json` of 9271
 * scenes), the worldview corpus is small (~414 PRTS items) and its body
 * text requires the TextTable bridge to resolve. So instead of a shipped
 * index, we build the search corpus **eagerly at first query**: for each
 * PRTS item, concatenate its resolved title + body into one searchable
 * string. At ~414 items this is well under 100ms and avoids a mirror-side
 * build step (one less thing to keep in sync).
 *
 * Search is regex (case-insensitive), matching the story domain's contract.
 * Invalid patterns degrade to literal substring matching, same as story.
 *
 * Depends on `./worldviewCore.js` for the item catalog and content resolution.
 */
import { allItems, resolveContent } from "./worldviewCore.js";
import { resolveText } from "./texts.js";
let _corpus = null;
/** Reset the search corpus. Called by the barrel orchestrator on sync. */
export function clearWorldviewSearchCache() {
    _corpus = null;
}
function corpus() {
    if (_corpus !== null)
        return _corpus;
    const docs = [];
    for (const [id, item] of allItems()) {
        const title = resolveText(item.name, undefined, id);
        const body = resolveContent(item.contentId);
        // Skip items with neither title nor body — they'd only produce empty
        // matches and clutter results. (Some multimedia items have titles but
        // no transcript; those stay searchable by title.)
        const text = `${title}\n${body}`.trim();
        if (text.length > 0) {
            docs.push({ itemId: id, type: item.type, text });
        }
    }
    _corpus = docs;
    return _corpus;
}
/**
 * Full-text search across all PRTS documents.
 *
 * Searches each item's resolved title + body. Returns hits with a snippet
 * around the first match, capped at `maxResults`.
 */
export function searchWorldview(pattern, maxResults = 30) {
    let re;
    try {
        re = new RegExp(pattern, "i");
    }
    catch {
        const literal = pattern.replace(/[.*+?^${}()|[\]\\]/g, "\\$&");
        re = new RegExp(literal, "i");
    }
    const out = [];
    for (const doc of corpus()) {
        if (re.test(doc.text)) {
            const item = allItems().get(doc.itemId);
            const title = item
                ? resolveText(item.name, undefined, doc.itemId)
                : doc.itemId;
            // Extract a snippet around the first match.
            const matchIdx = doc.text.search(re);
            const start = Math.max(0, matchIdx - 30);
            const end = Math.min(doc.text.length, matchIdx + 80);
            const snippet = (start > 0 ? "..." : "") +
                doc.text.slice(start, end).replace(/\s+/g, " ").trim() +
                (end < doc.text.length ? "..." : "");
            out.push({ itemId: doc.itemId, type: doc.type, title, snippet });
            if (out.length >= maxResults)
                break;
        }
    }
    return out;
}
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