[docs]class RunOperations:
"""Class that helps manage the futures of MLflow async logging."""
def __init__(self, operation_futures):
self._operation_futures = operation_futures or []
[docs] def wait(self):
"""Blocks on completion of all futures."""
from mlflow.exceptions import MlflowException
failed_operations = []
for future in self._operation_futures:
try:
future.result()
except Exception as e:
failed_operations.append(e)
if len(failed_operations) > 0:
raise MlflowException(
"The following failures occurred while performing one or more async logging "
f"operations: {failed_operations}"
)
[docs]def get_combined_run_operations(run_operations_list: list[RunOperations]) -> RunOperations:
"""Combine a list of RunOperations objects into a single RunOperations object.
Given a list of `RunOperations`, returns a single `RunOperations` object that represents the
combined set of operations. If the input list is empty, returns None. If the input list
contains only one element, returns that element. Otherwise, creates a new `RunOperations`
object that combines the operation futures from each input RunOperations object.
Args:
run_operations_list: A list of `RunOperations` objects to combine.
Returns:
A single `RunOperations` object that represents the combined set of operations.
"""
if not run_operations_list:
return None
if len(run_operations_list) == 1:
return run_operations_list[0]
if len(run_operations_list) > 1:
operation_futures = []
for run_operations in run_operations_list:
if run_operations and run_operations._operation_futures:
operation_futures.extend(run_operations._operation_futures)
return RunOperations(operation_futures)