code: def post(self):
      data = request.json
      query = data.get("query")
      context = data.get("context", {})
      limit = data.get("limit")
      if query is None or len(query) == 0:
          return http_error(
              400, "Missed query", "Need provide query to analyze"
          )
  
      try:
          ast = parse_sql(query)
      except Exception as e:
          return http_error(500, "Wrong query", str(e))
  
      if limit is not None:
          ast.limit = Constant(limit)
          query = str(ast)
  
      mysql_proxy = FakeMysqlProxy()
      mysql_proxy.set_context(context)
  
      try:
          result = mysql_proxy.process_query(query)
      except Exception as e:
          import traceback
  
          logger.error(traceback.format_exc())
          return http_error(500, "Error", str(e))
  
      if result.type == SQL_RESPONSE_TYPE.ERROR:
          return http_error(
              500, f"Error {result.error_code}", result.error_message
          )
      if result.type != SQL_RESPONSE_TYPE.TABLE:
          return http_error(500, "Error", "Query does not return data")
  
      column_names = [x["name"] for x in result.columns]
      df = DataFrame(result.data, columns=column_names)
      analysis = analyze_df(df)
  
      query_tables = []
  
      def find_tables(node, is_table, **kwargs):
          if is_table and isinstance(node, Identifier):
              query_tables.append(".".join(node.parts))
  
      query_traversal(ast, find_tables)
  
      return {
          "analysis": analysis,
          "column_names": column_names,
          "row_count": len(result.data),
          "timestamp": time.time(),
          "tables": query_tables,
      }
  
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 QueryAnalysis obj's underlying member method code with example usage: obj.post() and returns: dict, http_error, http_error, http_error, http_error, http_error