dosubot[bot] commented on issue #29574:
URL: https://github.com/apache/superset/issues/29574#issuecomment-2225321843

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   @mudasirmirza Hello! I'm here to assist you with any issues you're facing. 
Let's work together to resolve the problem.
   
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   The error `'str' object has no attribute 'tzinfo'` occurs because the code 
expects a datetime object with timezone information but encounters a string 
instead. To resolve this, you need to ensure that datetime objects in your data 
have the `tzinfo` attribute set correctly.
   
   Here are the steps to fix this issue:
   
   1. **Preprocess Data to Ensure Timezone Information**:
      Convert string representations of datetime to actual datetime objects 
with timezone information before they are processed. You can modify the data 
preprocessing step as follows:
   
      ```python
      from datetime import datetime
      import pytz
   
      def preprocess_data(data):
          for row in data:
              for i, value in enumerate(row):
                  if isinstance(value, str):
                      try:
                          # Attempt to parse the string as a datetime object
                          dt = datetime.fromisoformat(value)
                          # Add timezone information if missing
                          if dt.tzinfo is None:
                              dt = dt.replace(tzinfo=pytz.UTC)
                          row[i] = dt
                      except ValueError:
                          # If parsing fails, keep the original string
                          pass
          return data
   
      # Example usage
      data = [
          ("2023-10-01T12:00:00", "some other value"),
          ("2023-10-02T13:00:00+00:00", "another value"),
      ]
   
      preprocessed_data = preprocess_data(data)
      ```
   
   2. **Ensure `convert_dttm` Method Handles Datetime Objects Correctly**:
      The `convert_dttm` method in the `ElasticSearchEngineSpec` class should 
convert datetime objects to the appropriate string format for Elasticsearch 
queries. Here is the relevant implementation:
   
      ```python
      class ElasticSearchEngineSpec(BaseEngineSpec):  # pylint: 
disable=abstract-method
          engine = "elasticsearch"
          engine_name = "ElasticSearch (SQL API)"
          time_groupby_inline = True
          allows_joins = False
          allows_subqueries = True
          allows_sql_comments = False
   
          @classmethod
          def convert_dttm(
              cls, target_type: str, dttm: datetime, db_extra: 
Optional[dict[str, Any]] = None
          ) -> Optional[str]:
              db_extra = db_extra or {}
   
              sqla_type = cls.get_sqla_column_type(target_type)
              if isinstance(sqla_type, types.DateTime):
                  es_version = db_extra.get("version")
                  supports_dttm_parse = False
                  try:
                      if es_version:
                          supports_dttm_parse = Version(es_version) >= 
Version("7.8")
                  except Exception as ex:  # pylint: disable=broad-except
                      logger.error("Unexpected error while convert es_version", 
exc_info=True)
                      logger.exception(ex)
   
                  if supports_dttm_parse:
                      datetime_formatted = dttm.isoformat(sep=" ", 
timespec="seconds")
                      return (
                          f"""DATETIME_PARSE('{datetime_formatted}', 
'yyyy-MM-dd HH:mm:ss')"""
                      )
   
                  return f"""CAST('{dttm.isoformat(timespec="seconds")}' AS 
DATETIME)"""
   
              return None
      ```
   
   By ensuring that your datetime objects have the `tzinfo` attribute set and 
are correctly formatted for Elasticsearch queries, you can avoid the `'str' 
object has no attribute 'tzinfo'` error when querying an Elasticsearch data 
source in Apache Superset 
<sup>[[1]](https://github.com/apache/superset/blob/master/superset/result_set.py)</sup><sup>[[2]](https://github.com/apache/superset/blob/master/superset/db_engine_specs/elasticsearch.py)</sup>.
   
   
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