rhombus-node-mcp/dist/api/reid-tool-api.js

MCP server for Rhombus API

import { postApi } from "../network/network.js";
function mapEmbedding(e) {
    return {
        deviceUuid: e.deviceUuid ?? undefined,
        locationUuid: e.locationUuid ?? undefined,
        timestamp: e.timestamp ?? undefined,
        embedding: (e.embedding ?? []).filter((n) => n != null),
        embeddingId: e.embeddingId ?? undefined,
        stableTrackId: e.stableTrackId ?? undefined,
        thumbnailUri: e.thumbnailUri ?? undefined,
    };
}
/**
 * Lists the person re-identification embeddings recorded on the given camera(s) in a time window —
 * i.e. the people the camera's human-detection AI saw. Used to grab the embedding of the person standing
 * at a door at a known moment (e.g. a badge tap), so it can be tracked across other cameras.
 */
export async function listReidentificationEmbeddings(args, requestModifiers, sessionId) {
    const body = {
        deviceUuids: args.deviceUuids,
        locationUuid: args.locationUuid,
        startTimestampMs: args.startTimestampMs,
        endTimestampMs: args.endTimestampMs,
        limit: args.limit ?? 100,
    };
    const res = await postApi({
        route: "/search/listReidentificationEmbeddings",
        body,
        modifiers: requestModifiers,
        sessionId,
    });
    if (res.error)
        throw new Error(res.errorMsg ?? "listReidentificationEmbeddings failed");
    return (res.embeddings ?? []).map(mapEmbedding);
}
/**
 * Searches person re-identification matches for a given appearance embedding across cameras and time —
 * "find this same person elsewhere". Returns sightings ordered by similarity (distance asc; lower is a
 * closer match).
 */
export async function searchReidentificationMatchesByEmbedding(args, requestModifiers, sessionId) {
    const body = {
        searchEmbedding: args.searchEmbedding,
        deviceUuids: args.deviceUuids,
        locationUuid: args.locationUuid,
        startTimestampMs: args.startTimestampMs,
        endTimestampMs: args.endTimestampMs,
        limit: args.limit ?? 100,
    };
    const res = await postApi({
        route: "/search/searchReidentificationMatchesByEmbedding",
        body,
        modifiers: requestModifiers,
        sessionId,
    });
    if (res.error)
        throw new Error(res.errorMsg ?? "searchReidentificationMatchesByEmbedding failed");
    return (res.matches ?? []).map((m) => ({
        ...mapEmbedding(m.embedding ?? {}),
        distance: m.distance ?? undefined,
    }));
}