class_docstr: The OpenStreetMap Nodes Table implementation
class_docstr_tok: ["The","OpenStreetMap","Nodes","Table","implementation"]
code: def execute_osm_node_query(
      self,
      tags,
      area=None,
      min_lat=None,
      min_lon=None,
      max_lat=None,
      max_lon=None,
      limit=None,
  ):
      query_template = """
          [out:json];
          {area_clause}
          node{area_node_clause}{tags_clause}{bbox};
          out {limit};
          """
  
      tags_clause = ""
      if tags:
          for tag_key, tag_value in tags.items():
              tags_clause += '["{}"="{}"]'.format(tag_key, tag_value)
  
      area_clause, area_node_clause = "", ""
      if area:
          area_clause = 'area[name="{}"]->.city;\n'.format(area)
          area_node_clause = "(area.city)"
  
      bbox_clause = ""
      if min_lat or min_lon or max_lat or max_lon:
          bbox_clause = "{},{},{},{}".format(
              min_lat, min_lon, max_lat, max_lon
          )
  
      limit_clause = limit if limit else ""
  
      query = query_template.format(
          area_clause=area_clause,
          area_node_clause=area_node_clause,
          tags_clause=tags_clause,
          bbox=bbox_clause,
          limit=limit_clause,
      )
  
      api = self.handler.connect()
  
      result = api.query(query)
      return result
  
imports: import pandas
  from typing import Text, List, Dict
  from mindsdb_sql.parser import ast
  from mindsdb.integrations.libs.api_handler import APITable
  from mindsdb.integrations.utilities.sql_utils import extract_comparison_conditions
  from mindsdb.integrations.handlers.utilities.query_utilities import SELECTQueryParser, SELECTQueryExecutor
label_desc: Use image node_id 3 for calling the OpenStreetMapNodeTable obj's underlying member method code with example usage: obj.execute_osm_node_query(tags, area, min_lat, min_lon, max_lat, max_lon, limit) and returns: result