atul-astronomer opened a new issue, #47373:
URL: https://github.com/apache/airflow/issues/47373

   ### Apache Airflow version
   
   3.0.0
   
   ### If "Other Airflow 2 version" selected, which one?
   
   _No response_
   
   ### What happened?
   
   RetryOperator is failing.
   
   ```
   [2025-03-05T07:12:25.188823Z] ERROR - Task failed with exception 
logger="task" error_detail=
   [{"exc_type":"AttributeError","exc_value":"'RuntimeTaskInstance' object has 
no attribute
    'next_method'","syntax_error":null,"is_cause":false,"frames":
   
[{"filename":"/opt/airflow/task_sdk/src/airflow/sdk/execution_time/task_runner.py","lineno":605,"name":"run"},
   
{"filename":"/opt/airflow/task_sdk/src/airflow/sdk/execution_time/task_runner.py","lineno":726,"name":"_execut
   
e_task"},{"filename":"/opt/airflow/airflow/models/baseoperator.py","lineno":168,"name":"wrapper"}
   
,{"filename":"/files/dags/retry.py","lineno":17,"name":"execute"},{"filename":"/usr/local/lib/python3.9/site
   -packages/pydantic/main.py","lineno":891,"name":"__getattr__"}]}]
   ``` 
   
   ### What you think should happen instead?
   
   RetryOperator should show same behaviour as AF2
   
   ### How to reproduce
   
   Run the below DAG:
   
   ```python
   from datetime import datetime, timedelta
   
   from airflow import DAG
   from airflow.exceptions import AirflowException
   from airflow.models import BaseOperator
   from airflow.triggers.testing import SuccessTrigger
   
   
   class RetryOperator(BaseOperator):
       def execute(self, context):
           ti = context["ti"]
           has_next_method = bool(ti.next_method)
           try_number = ti.try_number
           self.log.info(
               f"In `execute`: has_next_method: {has_next_method}, 
try_number:{try_number}"
           )
   
           self.defer(
               trigger=SuccessTrigger(),
               method_name="next",
               kwargs={"execute_try_number": try_number},
           )
   
       def next(self, context, execute_try_number, event=None):
           self.log.info("In next!")
           ti = context["ti"]
           has_next_method = bool(ti.next_method)
           try_number = ti.try_number
           self.log.info(
               f"In `next`: has_next_method: {has_next_method}, 
try_number:{try_number}, excute_try_number: {execute_try_number}"
           )
   
           if try_number == 1:
               # Force a retry
               raise AirflowException("Force a retry")
           # Did we run `execute`?
           if execute_try_number != try_number:
               raise AirflowException("`execute` wasn't run during retry!")
           return None  # Success!
   
   
   with DAG(
       "triggerer_retry", schedule=None, start_date=datetime(2021, 9, 13), 
tags=['core']
   ) as dag:
       RetryOperator(task_id="retry", retries=1, 
retry_delay=timedelta(seconds=15))
   
   ``` 
   
   ### Operating System
   
   Linux
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Other
   
   ### Deployment details
   
   _No response_
   
   ### Anything else?
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [ ] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [x] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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