code: def luminolanalyze():
      ts = urllib.unquote(request.args.get("ts_paths"))
      ts = ts.split(",")
      matrix = ts.pop(0)
      matrices = list()
      for t in ts:
          matrices.append(t)
      myluminol = RCA(matrix, matrices)
      result = myluminol.output_by_name
      return jsonify(anom=result)
  
file_path: luminol/demo/src/start.py
imports: import csv
  import datetime
  import os
  import sys
  import time
  import urllib
  from flask import Flask, jsonify, render_template, request
  from luminol import utils, anomaly_detector, correlator
  from rca import RCA
label_desc: Use image node_id 4 for calling a global function with example usage: luminolanalyze() and returns: jsonify