class_docstr: This handler handles connection and execution of the FaunaDB statements.
class_docstr_tok: ["This","handler","handles","connection","and","execution","of","the","FaunaDB","statements","."]
docstr: Render and execute a SQL query.
  
  Args:
      query (ASTNode): The SQL query.
  
  Returns:
      Response: The query result.
docstr_tok: ["Render","and","execute","a","SQL","query",".","Args",":","query","(","ASTNode",")",":","The","SQL","query",".","Returns",":","Response",":","The","query","result","."]
code: def query(self, query: ASTNode) -> Response:
      """Render and execute a SQL query.
  
      Args:
          query (ASTNode): The SQL query.
  
      Returns:
          Response: The query result.
      """
  
      if isinstance(query, Select):
          collection = str(query.from_table)
          fields = query.targets
          conditions = query.where
          offset = query.offset
          limit = query.limit
          # TODO: research how to parse individual columns from document
          # fields = [f.to_string().split()[2] for f in fields]
          result = self.select(
              collection, fields, conditions, offset, limit
          )
  
      elif isinstance(query, Insert):
          collection = str(query.table)
          fields = [col.name for col in query.columns]
          values = query.values
          self.insert(collection, fields, values)
          return Response(resp_type=RESPONSE_TYPE.OK)
  
      elif isinstance(query, CreateTable):
          collection_name = str(query.name)
          self.create_table(collection_name)
          return Response(resp_type=RESPONSE_TYPE.OK)
  
      elif isinstance(query, Delete):
          collection_name = str(query.table)
          conditions = query.where
          self.delete_document(collection_name, conditions)
          return Response(resp_type=RESPONSE_TYPE.OK)
      """
          # NOT Working for integration tables yet
          elif isinstance(query, DropTables):
              collection_name = str(query.tables)
              self.drop_table(collection_name)
          """
  
      df = pd.json_normalize(result["data"])
      return Response(RESPONSE_TYPE.TABLE, df)
  
imports: import json
  import pandas
  from collections import OrderedDict
  from typing import List
  from faunadb import query
  from faunadb.client import FaunaClient
  from mindsdb_sql import Select, Insert, CreateTable, Delete
  from mindsdb_sql.parser.ast.select.star import Star
  from mindsdb_sql.parser.ast.base import ASTNode
  from mindsdb.integrations.libs.const import HANDLER_CONNECTION_ARG_TYPE
  from mindsdb.integrations.libs.response import RESPONSE_TYPE, HandlerResponse, HandlerStatusResponse
  from mindsdb.integrations.libs.base import DatabaseHandler
  from mindsdb.utilities import log
label_desc: Use image node_id 7 for calling the FaunaDBHandler obj's underlying member method code with example usage: obj.query(query) and returns: Response, Response, Response, Response