#
# 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.
#

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc

from . import message_pb2 as message__pb2
from . import scheduling_service_pb2 as scheduling__service__pb2


class SchedulingServiceStub(object):
    """Missing associated documentation comment in .proto file."""

    def __init__(self, channel):
        """Constructor.

        Args:
            channel: A grpc.Channel.
        """
        self.submitWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/submitWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.deleteWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/deleteWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.pauseWorkflowScheduling = channel.unary_unary(
                '/ai_flow.SchedulingService/pauseWorkflowScheduling',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.resumeWorkflowScheduling = channel.unary_unary(
                '/ai_flow.SchedulingService/resumeWorkflowScheduling',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.getWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/getWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.listWorkflows = channel.unary_unary(
                '/ai_flow.SchedulingService/listWorkflows',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowInfoResponse.FromString,
                )
        self.startNewWorkflowExecutionOnEvent = channel.unary_unary(
                '/ai_flow.SchedulingService/startNewWorkflowExecutionOnEvent',
                request_serializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.startNewWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/startNewWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.killAllWorkflowExecutions = channel.unary_unary(
                '/ai_flow.SchedulingService/killAllWorkflowExecutions',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
                )
        self.killWorkflowExecutionOnEvent = channel.unary_unary(
                '/ai_flow.SchedulingService/killWorkflowExecutionOnEvent',
                request_serializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.killWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/killWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.getWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/getWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.listWorkflowExecutions = channel.unary_unary(
                '/ai_flow.SchedulingService/listWorkflowExecutions',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
                )
        self.startJob = channel.unary_unary(
                '/ai_flow.SchedulingService/startJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.stopJob = channel.unary_unary(
                '/ai_flow.SchedulingService/stopJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.restartJob = channel.unary_unary(
                '/ai_flow.SchedulingService/restartJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.getJob = channel.unary_unary(
                '/ai_flow.SchedulingService/getJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.listJobs = channel.unary_unary(
                '/ai_flow.SchedulingService/listJobs',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListJobInfoResponse.FromString,
                )
        self.stopSchedulingJob = channel.unary_unary(
                '/ai_flow.SchedulingService/stopSchedulingJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=message__pb2.ResultProto.FromString,
                )
        self.resumeSchedulingJob = channel.unary_unary(
                '/ai_flow.SchedulingService/resumeSchedulingJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=message__pb2.ResultProto.FromString,
                )


class SchedulingServiceServicer(object):
    """Missing associated documentation comment in .proto file."""

    def submitWorkflow(self, request, context):
        """workflow api
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def deleteWorkflow(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def pauseWorkflowScheduling(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def resumeWorkflowScheduling(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getWorkflow(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listWorkflows(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startNewWorkflowExecutionOnEvent(self, request, context):
        """workflow execution api

        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startNewWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killAllWorkflowExecutions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killWorkflowExecutionOnEvent(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listWorkflowExecutions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startJob(self, request, context):
        """job api
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def stopJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def restartJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listJobs(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def stopSchedulingJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def resumeSchedulingJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


def add_SchedulingServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'submitWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.submitWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'deleteWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.deleteWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'pauseWorkflowScheduling': grpc.unary_unary_rpc_method_handler(
                    servicer.pauseWorkflowScheduling,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'resumeWorkflowScheduling': grpc.unary_unary_rpc_method_handler(
                    servicer.resumeWorkflowScheduling,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'getWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.getWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'listWorkflows': grpc.unary_unary_rpc_method_handler(
                    servicer.listWorkflows,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowInfoResponse.SerializeToString,
            ),
            'startNewWorkflowExecutionOnEvent': grpc.unary_unary_rpc_method_handler(
                    servicer.startNewWorkflowExecutionOnEvent,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'startNewWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.startNewWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'killAllWorkflowExecutions': grpc.unary_unary_rpc_method_handler(
                    servicer.killAllWorkflowExecutions,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowExecutionResponse.SerializeToString,
            ),
            'killWorkflowExecutionOnEvent': grpc.unary_unary_rpc_method_handler(
                    servicer.killWorkflowExecutionOnEvent,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'killWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.killWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'getWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.getWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'listWorkflowExecutions': grpc.unary_unary_rpc_method_handler(
                    servicer.listWorkflowExecutions,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowExecutionResponse.SerializeToString,
            ),
            'startJob': grpc.unary_unary_rpc_method_handler(
                    servicer.startJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'stopJob': grpc.unary_unary_rpc_method_handler(
                    servicer.stopJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'restartJob': grpc.unary_unary_rpc_method_handler(
                    servicer.restartJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'getJob': grpc.unary_unary_rpc_method_handler(
                    servicer.getJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'listJobs': grpc.unary_unary_rpc_method_handler(
                    servicer.listJobs,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListJobInfoResponse.SerializeToString,
            ),
            'stopSchedulingJob': grpc.unary_unary_rpc_method_handler(
                    servicer.stopSchedulingJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=message__pb2.ResultProto.SerializeToString,
            ),
            'resumeSchedulingJob': grpc.unary_unary_rpc_method_handler(
                    servicer.resumeSchedulingJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=message__pb2.ResultProto.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'ai_flow.SchedulingService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))


 # This class is part of an EXPERIMENTAL API.
class SchedulingService(object):
    """Missing associated documentation comment in .proto file."""

    @staticmethod
    def submitWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/submitWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def deleteWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/deleteWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def pauseWorkflowScheduling(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/pauseWorkflowScheduling',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def resumeWorkflowScheduling(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/resumeWorkflowScheduling',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listWorkflows(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listWorkflows',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startNewWorkflowExecutionOnEvent(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startNewWorkflowExecutionOnEvent',
            scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startNewWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startNewWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killAllWorkflowExecutions(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killAllWorkflowExecutions',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killWorkflowExecutionOnEvent(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killWorkflowExecutionOnEvent',
            scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listWorkflowExecutions(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listWorkflowExecutions',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def stopJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/stopJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def restartJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/restartJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listJobs(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listJobs',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.ListJobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def stopSchedulingJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/stopSchedulingJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            message__pb2.ResultProto.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def resumeSchedulingJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/resumeSchedulingJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            message__pb2.ResultProto.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

#
# 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.
#

# Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT!
"""Client and server classes corresponding to protobuf-defined services."""
import grpc

from . import message_pb2 as message__pb2
from . import scheduling_service_pb2 as scheduling__service__pb2


class SchedulingServiceStub(object):
    """Missing associated documentation comment in .proto file."""

    def __init__(self, channel):
        """Constructor.

        Args:
            channel: A grpc.Channel.
        """
        self.submitWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/submitWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.deleteWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/deleteWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.pauseWorkflowScheduling = channel.unary_unary(
                '/ai_flow.SchedulingService/pauseWorkflowScheduling',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.resumeWorkflowScheduling = channel.unary_unary(
                '/ai_flow.SchedulingService/resumeWorkflowScheduling',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.getWorkflow = channel.unary_unary(
                '/ai_flow.SchedulingService/getWorkflow',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.listWorkflows = channel.unary_unary(
                '/ai_flow.SchedulingService/listWorkflows',
                request_serializer=scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowInfoResponse.FromString,
                )
        self.startNewWorkflowExecutionOnEvent = channel.unary_unary(
                '/ai_flow.SchedulingService/startNewWorkflowExecutionOnEvent',
                request_serializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.startNewWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/startNewWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.killAllWorkflowExecutions = channel.unary_unary(
                '/ai_flow.SchedulingService/killAllWorkflowExecutions',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
                )
        self.killWorkflowExecutionOnEvent = channel.unary_unary(
                '/ai_flow.SchedulingService/killWorkflowExecutionOnEvent',
                request_serializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowInfoResponse.FromString,
                )
        self.killWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/killWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.getWorkflowExecution = channel.unary_unary(
                '/ai_flow.SchedulingService/getWorkflowExecution',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.WorkflowExecutionResponse.FromString,
                )
        self.listWorkflowExecutions = channel.unary_unary(
                '/ai_flow.SchedulingService/listWorkflowExecutions',
                request_serializer=scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
                )
        self.startJob = channel.unary_unary(
                '/ai_flow.SchedulingService/startJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.stopJob = channel.unary_unary(
                '/ai_flow.SchedulingService/stopJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.restartJob = channel.unary_unary(
                '/ai_flow.SchedulingService/restartJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.getJob = channel.unary_unary(
                '/ai_flow.SchedulingService/getJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.JobInfoResponse.FromString,
                )
        self.listJobs = channel.unary_unary(
                '/ai_flow.SchedulingService/listJobs',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=scheduling__service__pb2.ListJobInfoResponse.FromString,
                )
        self.stopSchedulingJob = channel.unary_unary(
                '/ai_flow.SchedulingService/stopSchedulingJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=message__pb2.ResultProto.FromString,
                )
        self.resumeSchedulingJob = channel.unary_unary(
                '/ai_flow.SchedulingService/resumeSchedulingJob',
                request_serializer=scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
                response_deserializer=message__pb2.ResultProto.FromString,
                )


class SchedulingServiceServicer(object):
    """Missing associated documentation comment in .proto file."""

    def submitWorkflow(self, request, context):
        """workflow api
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def deleteWorkflow(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def pauseWorkflowScheduling(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def resumeWorkflowScheduling(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getWorkflow(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listWorkflows(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startNewWorkflowExecutionOnEvent(self, request, context):
        """workflow execution api

        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startNewWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killAllWorkflowExecutions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killWorkflowExecutionOnEvent(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def killWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getWorkflowExecution(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listWorkflowExecutions(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def startJob(self, request, context):
        """job api
        """
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def stopJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def restartJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def getJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def listJobs(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def stopSchedulingJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')

    def resumeSchedulingJob(self, request, context):
        """Missing associated documentation comment in .proto file."""
        context.set_code(grpc.StatusCode.UNIMPLEMENTED)
        context.set_details('Method not implemented!')
        raise NotImplementedError('Method not implemented!')


def add_SchedulingServiceServicer_to_server(servicer, server):
    rpc_method_handlers = {
            'submitWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.submitWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'deleteWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.deleteWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'pauseWorkflowScheduling': grpc.unary_unary_rpc_method_handler(
                    servicer.pauseWorkflowScheduling,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'resumeWorkflowScheduling': grpc.unary_unary_rpc_method_handler(
                    servicer.resumeWorkflowScheduling,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'getWorkflow': grpc.unary_unary_rpc_method_handler(
                    servicer.getWorkflow,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'listWorkflows': grpc.unary_unary_rpc_method_handler(
                    servicer.listWorkflows,
                    request_deserializer=scheduling__service__pb2.ScheduleWorkflowRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowInfoResponse.SerializeToString,
            ),
            'startNewWorkflowExecutionOnEvent': grpc.unary_unary_rpc_method_handler(
                    servicer.startNewWorkflowExecutionOnEvent,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'startNewWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.startNewWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'killAllWorkflowExecutions': grpc.unary_unary_rpc_method_handler(
                    servicer.killAllWorkflowExecutions,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowExecutionResponse.SerializeToString,
            ),
            'killWorkflowExecutionOnEvent': grpc.unary_unary_rpc_method_handler(
                    servicer.killWorkflowExecutionOnEvent,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionOnEventRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowInfoResponse.SerializeToString,
            ),
            'killWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.killWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'getWorkflowExecution': grpc.unary_unary_rpc_method_handler(
                    servicer.getWorkflowExecution,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.WorkflowExecutionResponse.SerializeToString,
            ),
            'listWorkflowExecutions': grpc.unary_unary_rpc_method_handler(
                    servicer.listWorkflowExecutions,
                    request_deserializer=scheduling__service__pb2.WorkflowExecutionRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListWorkflowExecutionResponse.SerializeToString,
            ),
            'startJob': grpc.unary_unary_rpc_method_handler(
                    servicer.startJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'stopJob': grpc.unary_unary_rpc_method_handler(
                    servicer.stopJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'restartJob': grpc.unary_unary_rpc_method_handler(
                    servicer.restartJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'getJob': grpc.unary_unary_rpc_method_handler(
                    servicer.getJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.JobInfoResponse.SerializeToString,
            ),
            'listJobs': grpc.unary_unary_rpc_method_handler(
                    servicer.listJobs,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=scheduling__service__pb2.ListJobInfoResponse.SerializeToString,
            ),
            'stopSchedulingJob': grpc.unary_unary_rpc_method_handler(
                    servicer.stopSchedulingJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=message__pb2.ResultProto.SerializeToString,
            ),
            'resumeSchedulingJob': grpc.unary_unary_rpc_method_handler(
                    servicer.resumeSchedulingJob,
                    request_deserializer=scheduling__service__pb2.ScheduleJobRequest.FromString,
                    response_serializer=message__pb2.ResultProto.SerializeToString,
            ),
    }
    generic_handler = grpc.method_handlers_generic_handler(
            'ai_flow.SchedulingService', rpc_method_handlers)
    server.add_generic_rpc_handlers((generic_handler,))


 # This class is part of an EXPERIMENTAL API.
class SchedulingService(object):
    """Missing associated documentation comment in .proto file."""

    @staticmethod
    def submitWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/submitWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def deleteWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/deleteWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def pauseWorkflowScheduling(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/pauseWorkflowScheduling',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def resumeWorkflowScheduling(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/resumeWorkflowScheduling',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getWorkflow(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getWorkflow',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listWorkflows(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listWorkflows',
            scheduling__service__pb2.ScheduleWorkflowRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startNewWorkflowExecutionOnEvent(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startNewWorkflowExecutionOnEvent',
            scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startNewWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startNewWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killAllWorkflowExecutions(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killAllWorkflowExecutions',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killWorkflowExecutionOnEvent(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killWorkflowExecutionOnEvent',
            scheduling__service__pb2.WorkflowExecutionOnEventRequest.SerializeToString,
            scheduling__service__pb2.WorkflowInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def killWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/killWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getWorkflowExecution(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getWorkflowExecution',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.WorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listWorkflowExecutions(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listWorkflowExecutions',
            scheduling__service__pb2.WorkflowExecutionRequest.SerializeToString,
            scheduling__service__pb2.ListWorkflowExecutionResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def startJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/startJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def stopJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/stopJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def restartJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/restartJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def getJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/getJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.JobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def listJobs(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/listJobs',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            scheduling__service__pb2.ListJobInfoResponse.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def stopSchedulingJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/stopSchedulingJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            message__pb2.ResultProto.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

    @staticmethod
    def resumeSchedulingJob(request,
            target,
            options=(),
            channel_credentials=None,
            call_credentials=None,
            insecure=False,
            compression=None,
            wait_for_ready=None,
            timeout=None,
            metadata=None):
        return grpc.experimental.unary_unary(request, target, '/ai_flow.SchedulingService/resumeSchedulingJob',
            scheduling__service__pb2.ScheduleJobRequest.SerializeToString,
            message__pb2.ResultProto.FromString,
            options, channel_credentials,
            insecure, call_credentials, compression, wait_for_ready, timeout, metadata)

# # 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. # # Generated by the gRPC Python protocol compiler plugin. DO NOT EDIT! Client and server classes corresponding to protobuf-defined services. Missing associated documentation comment in .proto file. Constructor.          Args:             channel: A grpc.Channel. Missing associated documentation comment in .proto file. workflow api Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. workflow execution api Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. job api Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. Missing associated documentation comment in .proto file. # This class is part of an EXPERIMENTAL API. Missing associated documentation comment in .proto file.