#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
"""Utility class for serializing pipelines via the runner API.
For internal use only; no backwards-compatibility guarantees.
"""
# pytype: skip-file
from __future__ import absolute_import
from builtins import object
from typing import TYPE_CHECKING
from typing import Any
from typing import Dict
from typing import Mapping
from typing import Optional
from typing import Union
from apache_beam import coders
from apache_beam import pipeline
from apache_beam import pvalue
from apache_beam.internal import pickler
from apache_beam.portability.api import beam_fn_api_pb2
from apache_beam.portability.api import beam_runner_api_pb2
from apache_beam.transforms import core
from apache_beam.transforms import environments
from apache_beam.typehints import native_type_compatibility
if TYPE_CHECKING:
from google.protobuf import message # pylint: disable=ungrouped-imports
from apache_beam.coders.coder_impl import IterableStateReader
from apache_beam.coders.coder_impl import IterableStateWriter
class _PipelineContextMap(object):
"""This is a bi-directional map between objects and ids.
Under the hood it encodes and decodes these objects into runner API
representations.
"""
def __init__(self,
context,
obj_type,
namespace, # type: str
proto_map=None # type: Optional[Mapping[str, message.Message]]
):
self._pipeline_context = context
self._obj_type = obj_type
self._namespace = namespace
self._obj_to_id = {} # type: Dict[Any, str]
self._id_to_obj = {} # type: Dict[str, Any]
self._id_to_proto = dict(proto_map) if proto_map else {}
self._counter = 0
def _unique_ref(self, obj=None, label=None):
# type: (Optional[Any], Optional[str]) -> str
self._counter += 1
return "%s_%s_%s_%d" % (
self._namespace,
self._obj_type.__name__,
label or type(obj).__name__,
self._counter)
def populate_map(self, proto_map):
# type: (Mapping[str, message.Message]) -> None
for id, proto in self._id_to_proto.items():
proto_map[id].CopyFrom(proto)
def get_id(self, obj, label=None):
# type: (Any, Optional[str]) -> str
if obj not in self._obj_to_id:
id = self._unique_ref(obj, label)
self._id_to_obj[id] = obj
self._obj_to_id[obj] = id
self._id_to_proto[id] = obj.to_runner_api(self._pipeline_context)
return self._obj_to_id[obj]
def get_proto(self, obj, label=None):
# type: (Any, Optional[str]) -> message.Message
return self._id_to_proto[self.get_id(obj, label)]
def get_by_id(self, id):
# type: (str) -> Any
if id not in self._id_to_obj:
self._id_to_obj[id] = self._obj_type.from_runner_api(
self._id_to_proto[id], self._pipeline_context)
return self._id_to_obj[id]
def get_by_proto(self, maybe_new_proto, label=None, deduplicate=False):
# type: (message.Message, Optional[str], bool) -> str
if deduplicate:
for id, proto in self._id_to_proto.items():
if proto == maybe_new_proto:
return id
return self.put_proto(self._unique_ref(label), maybe_new_proto)
def get_id_to_proto_map(self):
# type: () -> Dict[str, message.Message]
return self._id_to_proto
def put_proto(self, id, proto):
# type: (str, message.Message) -> str
if id in self._id_to_proto:
raise ValueError("Id '%s' is already taken." % id)
self._id_to_proto[id] = proto
return id
def __getitem__(self, id):
# type: (str) -> Any
return self.get_by_id(id)
def __contains__(self, id):
# type: (str) -> bool
return id in self._id_to_proto
[docs]class PipelineContext(object):
"""For internal use only; no backwards-compatibility guarantees.
Used for accessing and constructing the referenced objects of a Pipeline.
"""
def __init__(self,
proto=None, # type: Optional[Union[beam_runner_api_pb2.Components, beam_fn_api_pb2.ProcessBundleDescriptor]]
default_environment=None, # type: Optional[environments.Environment]
use_fake_coders=False,
iterable_state_read=None, # type: Optional[IterableStateReader]
iterable_state_write=None, # type: Optional[IterableStateWriter]
namespace='ref',
allow_proto_holders=False
):
if isinstance(proto, beam_fn_api_pb2.ProcessBundleDescriptor):
proto = beam_runner_api_pb2.Components(
coders=dict(proto.coders.items()),
windowing_strategies=dict(proto.windowing_strategies.items()),
environments=dict(proto.environments.items()))
self.transforms = _PipelineContextMap(
self, pipeline.AppliedPTransform, namespace,
proto.transforms if proto is not None else None)
self.pcollections = _PipelineContextMap(
self, pvalue.PCollection, namespace,
proto.pcollections if proto is not None else None)
self.coders = _PipelineContextMap(
self, coders.Coder, namespace,
proto.coders if proto is not None else None)
self.windowing_strategies = _PipelineContextMap(
self, core.Windowing, namespace,
proto.windowing_strategies if proto is not None else None)
self.environments = _PipelineContextMap(
self, environments.Environment, namespace,
proto.environments if proto is not None else None)
if default_environment:
self._default_environment_id = self.environments.get_id(
default_environment, label='default_environment') # type: Optional[str]
else:
self._default_environment_id = None
self.use_fake_coders = use_fake_coders
self.iterable_state_read = iterable_state_read
self.iterable_state_write = iterable_state_write
self.allow_proto_holders = allow_proto_holders
# If fake coders are requested, return a pickled version of the element type
# rather than an actual coder. The element type is required for some runners,
# as well as performing a round-trip through protos.
# TODO(BEAM-2717): Remove once this is no longer needed.
[docs] def coder_id_from_element_type(self, element_type):
# type: (Any) -> str
if self.use_fake_coders:
return pickler.dumps(element_type).decode('ascii')
else:
return self.coders.get_id(coders.registry.get_coder(element_type))
[docs] def element_type_from_coder_id(self, coder_id):
# type: (str) -> Any
if self.use_fake_coders or coder_id not in self.coders:
return pickler.loads(coder_id)
else:
return native_type_compatibility.convert_to_beam_type(
self.coders[coder_id].to_type_hint())
[docs] @staticmethod
def from_runner_api(proto):
# type: (beam_runner_api_pb2.Components) -> PipelineContext
return PipelineContext(proto)
[docs] def to_runner_api(self):
# type: () -> beam_runner_api_pb2.Components
context_proto = beam_runner_api_pb2.Components()
self.transforms.populate_map(context_proto.transforms)
self.pcollections.populate_map(context_proto.pcollections)
self.coders.populate_map(context_proto.coders)
self.windowing_strategies.populate_map(context_proto.windowing_strategies)
self.environments.populate_map(context_proto.environments)
return context_proto
[docs] def default_environment_id(self):
# type: () -> Optional[str]
return self._default_environment_id