code: def post(self):
      payload = request.json
      column_names = payload.get("column_names")
      data = payload.get("data")
  
      timestamp = time.time()
      try:
          analysis = analyze_df(DataFrame(data, columns=column_names))
          return {"analysis": analysis, "timestamp": time.time()}
      except Exception as e:
          # Don't want analysis exceptions to show up on UI.
          # TODO: Fix analysis so it doesn't throw exceptions at all.
          return {
              "analysis": {},
              "timestamp": timestamp,
              "error": str(e),
          }
  
imports: import time
  import pandas
  from dataprep_ml.insights import analyze_dataset
  from flask import request
  from flask_restx import Resource
  from mindsdb_sql import parse_sql
  from mindsdb_sql.parser.ast import Constant, Identifier
  from mindsdb_sql.planner.utils import query_traversal
  from pandas.core.frame import DataFrame
  from mindsdb.api.http.namespaces.configs.analysis import ns_conf
  from mindsdb.api.http.utils import http_error
  from mindsdb.api.mysql.mysql_proxy.classes.fake_mysql_proxy import FakeMysqlProxy
  from mindsdb.api.executor.data_types.response_type import RESPONSE_TYPE
  from mindsdb.utilities import log
label_desc: Use image node_id 1 for calling the DataAnalysis obj's underlying member method code with example usage: obj.post() and returns: dict, dict