Source code for graphscope.framework.operation

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2020 Alibaba Group Holding Limited. All Rights Reserved.
# Licensed 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
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

""" Classes and functions used to construct dags.

import hashlib
import uuid

from google.protobuf.json_format import MessageToJson

from graphscope.proto import op_def_pb2

[docs]class Operation(object): """Represents a dag op that performs computation on tensors. For example :code:`c = run_app(a, b)` creates an :code:`Operation` of type "RunApp" that takes operation :code:`a` and :code:`b` as input, and produces :code:`c` as output. After the dag has been launched in a session, an `Operation` can be executed by passing it to :code:``. """
[docs] def __init__( self, session_id, op_type, inputs=None, output_types=None, config=None, query_args=None, ): """Creates an :code:`Operation`. Args: op_type: :code:`types_pb2.OperationType` Value for the "op" attribute of the OpDef proto. inputs: A list of `Operations` that will be the parents to self output_types: The operation's output type config: Dictionary where the key is the attribute name (a string) and the value is the respective "attr" attribute of the OpDef proto (an AttrValue). query_args: Values that used as query parameters when evaluating app. Raises: TypeError: if `op_def` is not a `OpDef`, or if `g` is not a `Dag`. ValueError: if the `op_def` name is not valid. """ self._session_id = session_id self._op_def = op_def_pb2.OpDef(op=op_type, key=uuid.uuid4().hex) if config: for k, v in config.items(): self._op_def.attr[k].CopyFrom(v) if query_args is not None: self._op_def.query_args.CopyFrom(query_args) self._output_types = output_types self._signature = None self._output = None # hold the executed result of the DAG.
[docs] def as_op_def(self): return self._op_def
@property def key(self): return self._op_def.key @property def signature(self): """Signature of its parents' signatures and its own parameters. Used to unique identify one `Operation` with fixed configuration, if the configuration changed, the signature will be changed accordingly. """ content = str(self.as_op_def()) return hashlib.sha224(content.encode()).hexdigest()
[docs] def eval(self): # NB: to void cycle import # pylint: disable=import-outside-toplevel, cyclic-import from graphscope.client.session import get_session_by_id sess = get_session_by_id(self._session_id) res = return res
[docs] def set_output(self, output): """Set Operation's output value. Args: output: The output after evaluated the op Raises: RuntimeError: If the output is already be set before, since one op can only be evaluated once. """ if self._output is not None: raise RuntimeError("The executed value of a DAG node is already set") self._output = output
@property def evaluated(self): return self._output is not None @property def output(self): """Executed result of the DAG node. Returns None if the DAG node hasn't been evaluated yet, otherwise a `dict` from `JSON` object. """ return self._output @property def type(self): return self._op_def.op @property def output_types(self): return self._output_types def __str__(self): return str(self.as_op_def()) def __repr__(self): return "<grape.Operation '%s'(%s)>" % (self.type, self.key) def to_json(self): """Get json represented op.""" return MessageToJson(self._op_def)