code: def extraction_meta_feature_generation():
      path = functions.get_path_from_query_string(request)
  
      if request.method == "GET":
          with functions.DBContextManager(path) as session:
              extraction = session.query(models.Extraction).first()
              return jsonify(extraction.meta_feature_generation)
  
      if request.method == "PATCH":
          req_body = request.get_json()
          with functions.DBContextManager(path) as session:
              extraction = session.query(models.Extraction).first()
              for key, value in six.iteritems(req_body):
                  extraction.meta_feature_generation[key] = value
              session.add(extraction)
              session.commit()
              return jsonify(extraction.meta_feature_generation)
  
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import os
  from flask import request, jsonify, send_from_directory, g
  from redis import Redis
  from rq import Connection
  from sqlalchemy import create_engine
  from sklearn.model_selection import ParameterGrid
  from sklearn.model_selection import ParameterSampler
  from xcessiv import app, functions, exceptions, models, rqtasks
  from xcessiv.presets import learnersetting, metricsetting, cvsetting
  import six
label_desc: Use image node_id 8 for calling a global function with example usage: extraction_meta_feature_generation() and returns: jsonify, jsonify