code: def get_sql_text(payload: dict[str, Any]) -> str:
      payload["result_type"] = ChartDataResultType.QUERY.value
      query_context = ChartDataQueryContextSchema().load(payload)
      responses = query_context.get_payload()
      assert len(responses) == 1
      response = responses["queries"][0]
      assert len(response) == 2
      assert response["language"] == "sql"
      return response["query"]
  
imports: import re
  import time
  from typing import Any
  import numpy
  import pandas
  import pytest
  from pandas import DateOffset
  from superset import db
  from superset.charts.schemas import ChartDataQueryContextSchema
  from superset.common.chart_data import ChartDataResultFormat, ChartDataResultType
  from superset.common.query_context import QueryContext
  from superset.common.query_context_factory import QueryContextFactory
  from superset.common.query_object import QueryObject
  from superset.connectors.sqla.models import SqlMetric
  from superset.daos.datasource import DatasourceDAO
  from superset.extensions import cache_manager
  from superset.superset_typing import AdhocColumn
  from superset.utils.core import AdhocMetricExpressionType, backend, DatasourceType, QueryStatus
  from superset.utils.pandas_postprocessing.utils import FLAT_COLUMN_SEPARATOR
  from tests.integration_tests.base_tests import SupersetTestCase
  from tests.integration_tests.conftest import only_postgresql, only_sqlite
  from tests.integration_tests.fixtures.birth_names_dashboard import load_birth_names_dashboard_with_slices, load_birth_names_data
  from tests.integration_tests.fixtures.query_context import get_query_context
label_desc: Use image node_id 1 for calling a global function with example usage: get_sql_text(payload) and returns: response