class_docstr: The Get Topics Table implementation
docstr: Get the topics for the given conversation id" API
  
  Parameters
  ----------
  query : ast.Select
     Given SQL SELECT query
  
  Returns
  -------
  pd.DataFrame
      Topics
  
  Raises
  ------
  ValueError
      If the query contains an unsupported condition
docstr_tok: ["Get","the","topics","for","the","given","conversation","id","''","API","Parameters","--","--","--","--","--","query",":","ast.Select","Given","SQL","SELECT","query","Returns","--","--","--","-","pd.DataFrame","Topics","Raises","--","--","--","ValueError","If","the","query","contains","an","unsupported","condition"]
code: def select(self, query: ast.Select) -> pd.DataFrame:
      """Get the topics for the given conversation id" API
  
      Parameters
      ----------
      query : ast.Select
         Given SQL SELECT query
  
      Returns
      -------
      pd.DataFrame
          Topics
  
      Raises
      ------
      ValueError
          If the query contains an unsupported condition
      """
  
      select_statement_parser = SELECTQueryParser(
          query, "get_topics", self.get_columns()
      )
  
      (
          selected_columns,
          where_conditions,
          order_by_conditions,
          result_limit,
      ) = select_statement_parser.parse_query()
  
      search_params = {}
      subset_where_conditions = []
      for op, arg1, arg2 in where_conditions:
          if arg1 == "conversation_id":
              if op == "=":
                  search_params["conversation_id"] = arg2
              else:
                  raise NotImplementedError(
                      "Only '=' operator is supported for conversation_id column."
                  )
  
          elif arg1 in self.get_columns():
              subset_where_conditions.append([op, arg1, arg2])
  
      filter_flag = "conversation_id" in search_params
  
      if not filter_flag:
          raise NotImplementedError(
              "conversation_id column has to be present in where clause."
          )
  
      df = pd.DataFrame(columns=self.get_columns())
  
      resp = symbl.Conversations.get_topics(
          conversation_id=search_params.get("conversation_id"),
          credentials=self.handler.credentials,
      )
  
      resp = self.parse_response(resp)
  
      df = pd.json_normalize(resp["topics"])
  
      select_statement_executor = SELECTQueryExecutor(
          df,
          selected_columns,
          subset_where_conditions,
          order_by_conditions,
          result_limit,
      )
  
      df = select_statement_executor.execute_query()
  
      return df
  
imports: import pandas
  import json
  import symbl
  from typing import List
  from mindsdb.integrations.libs.api_handler import APITable
  from mindsdb.integrations.handlers.utilities.query_utilities import SELECTQueryParser, SELECTQueryExecutor
  from mindsdb.utilities import log
  from mindsdb_sql.parser import ast
label_desc: Use image node_id 1 for calling the GetTopicsTable obj's underlying member method code with example usage: obj.select(query) and returns: df