How to debug finish_bundle not being called on Google Cloud Dataflow?

This is a simplified version of the DoFn I run in Google Cloud Dataflow:

class ExecuteFn(beam.DoFn):      def __init__():        self._records_to_log: list[ExecutionRecord] = []    def setup(self) -> None:        self._executor = Executor(...)    def process(        self, element: dict[str, Any]    ) -> Iterable[ExecutionOutput | TaggedOutput]:        assert self._executor is not None        try:            result, record = self._executor.execute(element)            self._records_to_log.append(record)        except Error as error:            yield TaggedOutput("errors", str(message))        else:            yield result    def start_bundle(self):        self._records_to_log = []    def finish_bundle(self):        log_executions(self._records_to_log)

Here's how the dofn is called:

input_dicts | "Execute" >> beam.ParDo(    ExecuteFn(        self._organization_name,        self._static_policy,        self._version_name,        self._backtest,    )).with_outputs("errors", main="main")

The code run was expected on the direct runner and in unit tests, but in Dataflow start_bundle and finish_bundle are never called.

What I've tried:

1. To ensure finish_bundle is rally never called I've added log statements to the start_bundle and finish_bundle. In unit tests and with the direct runner these messages show up, as is executed the behavior. In GCP's dataflow neither happens. I'm sure the logging works because I have used it elsewhere.
2. To eliminate the possibility it's a recent bug, I've tried using Apache Beam 2.56 and 2.55.1, and had the same problem.