Add task context logging support for remote AWS S3 logging

With the addition of taxt context logging feature in PR apache#32646,
this PR extends the feature to AWS S3 when is it set as remote
logging store. Here, backward compatibility is ensured for older
versions of Airflow that do not have the feature included in
Airflow Core.

airflow/providers/amazon/aws/log/s3_task_handler.py

@@ -71,14 +71,17 @@ def hook(self):
             aws_conn_id=conf.get("logging", "REMOTE_LOG_CONN_ID"), transfer_config_args={"use_threads": False}
         )
 
-    def set_context(self, ti):
-        super().set_context(ti)
+    def set_context(self, ti, identifier=None):
+        if getattr(self, "supports_task_context_logging", False):
+            super().set_context(ti, identifier=identifier)
+        else:
+            super().set_context(ti)
         # Local location and remote location is needed to open and
         # upload local log file to S3 remote storage.
         full_path = self.handler.baseFilename
         self.log_relative_path = pathlib.Path(full_path).relative_to(self.local_base).as_posix()
         is_trigger_log_context = getattr(ti, "is_trigger_log_context", False)
-        self.upload_on_close = is_trigger_log_context or not ti.raw
+        self.upload_on_close = is_trigger_log_context or not getattr(ti, "raw", None)
         # Clear the file first so that duplicate data is not uploaded
         # when re-using the same path (e.g. with rescheduled sensors)
         if self.upload_on_close: