blob: d157c7f078ff926a14626f5d57dc11be85394f23 [file] [log] [blame]
#
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# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations
import multiprocessing
import typing
from airflow.configuration import conf
from airflow.utils.context import Context
if typing.TYPE_CHECKING:
import multiprocessing.context
from airflow.models.operator import Operator
class MultiprocessingStartMethodMixin:
"""Convenience class to add support for different types of multiprocessing."""
def _get_multiprocessing_start_method(self) -> str:
"""
Determine method of creating new processes by checking if the
mp_start_method is set in configs, else, it uses the OS default.
"""
if conf.has_option("core", "mp_start_method"):
return conf.get_mandatory_value("core", "mp_start_method")
method = multiprocessing.get_start_method()
if not method:
raise ValueError("Failed to determine start method")
return method
def _get_multiprocessing_context(self) -> multiprocessing.context.DefaultContext:
mp_start_method = self._get_multiprocessing_start_method()
return multiprocessing.get_context(mp_start_method) # type: ignore
class ResolveMixin:
"""A runtime-resolved value."""
def iter_references(self) -> typing.Iterable[tuple[Operator, str]]:
"""Find underlying XCom references this contains.
This is used by the DAG parser to recursively find task dependencies.
:meta private:
"""
raise NotImplementedError
def resolve(self, context: Context) -> typing.Any:
"""Resolve this value for runtime.
:meta private:
"""
raise NotImplementedError