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# Copyright 2021-2023 H2020 TeraFlow (https://www.teraflow-h2020.eu/)
#
# 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
#
# 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.
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from enum import IntEnum
from typing import Dict
from common.proto.context_pb2 import Device, Link, Service
from common.tools.grpc.Tools import grpc_message_to_json_string
class CapacityUnit(IntEnum):
TB = 0
TBPS = 1
GB = 2
GBPS = 3
MB = 4
MBPS = 5
KB = 6
KBPS = 7
GHZ = 8
MHZ = 9
class LinkPortDirection(IntEnum):
BIDIRECTIONAL = 0
INPUT = 1
OUTPUT = 2
UNKNOWN = 3
class TerminationDirection(IntEnum):
BIDIRECTIONAL = 0
SINK = 1
SOURCE = 2
UNKNOWN = 3
class TerminationState(IntEnum):
CAN_NEVER_TERMINATE = 0
NOT_TERMINATED = 1
TERMINATED_SERVER_TO_CLIENT = 2
TERMINATED_CLIENT_TO_SERVER = 3
TERMINATED_BIDIRECTIONAL = 4
PERMENANTLY_TERMINATED = 5
TERMINATION_STATE_UNKNOWN = 6
class LinkForwardingDirection(IntEnum):
BIDIRECTIONAL = 0
UNIDIRECTIONAL = 1
UNKNOWN = 2
def compose_topology_id(context_uuid : str, topology_uuid : str) -> Dict:
return {'contextId': context_uuid, 'topology_uuid': topology_uuid}
def compose_service_id(context_uuid : str, service_uuid : str) -> Dict:
return {'contextId': context_uuid, 'service_uuid': service_uuid}
def compose_endpoint_id(topology_id : Dict, device_uuid : str, endpoint_uuid : str) -> Dict:
return {'topology_id': topology_id, 'device_id': device_uuid, 'endpoint_uuid': endpoint_uuid}
def compose_capacity(value : str, unit : str) -> Dict:
return {'total-size': {'value': value, 'unit': unit}}
def compose_endpoint(
endpoint_id : Dict, endpoint_type : str, link_port_direction : int, termination_direction : int,
termination_state : int, total_potential_capacity : Dict, available_capacity : Dict
) -> Dict:
return {
'endpoint_id': endpoint_id, 'endpoint_type': endpoint_type, 'link_port_direction': link_port_direction,
'termination-direction': termination_direction, 'termination-state': termination_state,
'total-potential-capacity': total_potential_capacity, 'available-capacity': available_capacity,
}
def compose_cost_characteristics(cost_name : str, cost_value : str, cost_algorithm : str) -> Dict:
return {'cost-name': cost_name, 'cost-value': cost_value, 'cost-algorithm': cost_algorithm}
def compose_latency_characteristics(fixed_latency_characteristic : str) -> Dict:
return {'fixed-latency-characteristic': fixed_latency_characteristic}
def compose_constraint(constraint_type : str, constraint_value : str) -> Dict:
return {'constraint_type': constraint_type, 'constraint_value': constraint_value}
def compose_device(grpc_device : Device) -> Dict:
device_uuid = grpc_device.device_id.device_uuid.uuid
device_type = grpc_device.device_type
endpoints = []
for device_endpoint in grpc_device.device_endpoints:
context_uuid = device_endpoint.endpoint_id.topology_id.context_id.context_uuid.uuid
topology_uuid = device_endpoint.endpoint_id.topology_id.topology_uuid.uuid
endpoint_uuid = device_endpoint.endpoint_id.endpoint_uuid.uuid
endpoint_type = device_endpoint.endpoint_type
topology_id = compose_topology_id(context_uuid, topology_uuid)
endpoint_id = compose_endpoint_id(topology_id, device_uuid, endpoint_uuid)
link_port_direction = LinkPortDirection.BIDIRECTIONAL.value
termination_direction = TerminationDirection.BIDIRECTIONAL.value
termination_state = TerminationState.TERMINATED_BIDIRECTIONAL.value
total_potential_capacity = compose_capacity(200, CapacityUnit.MBPS.value)
available_capacity = compose_capacity(200, CapacityUnit.MBPS.value)
endpoint = compose_endpoint(
endpoint_id, endpoint_type, link_port_direction, termination_direction,
termination_state, total_potential_capacity, available_capacity)
endpoints.append(endpoint)
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return {'device_Id': device_uuid, 'device_type': device_type, 'device_endpoints': endpoints}
def compose_link(grpc_link : Link) -> Dict:
link_uuid = grpc_link.link_id.link_uuid.uuid
endpoint_ids = []
for link_endpoint_id in grpc_link.link_endpoint_ids:
context_uuid = link_endpoint_id.topology_id.context_id.context_uuid.uuid
topology_uuid = link_endpoint_id.topology_id.topology_uuid.uuid
device_uuid = link_endpoint_id.device_id.device_uuid.uuid
endpoint_uuid = link_endpoint_id.endpoint_uuid.uuid
topology_id = compose_topology_id(context_uuid, topology_uuid)
endpoint_id = compose_endpoint_id(topology_id, device_uuid, endpoint_uuid)
endpoint_ids.append({'endpoint_id' : endpoint_id})
forwarding_direction = LinkForwardingDirection.UNIDIRECTIONAL.value
total_potential_capacity = compose_capacity(200, CapacityUnit.MBPS.value)
available_capacity = compose_capacity(200, CapacityUnit.MBPS.value)
cost_characteristics = compose_cost_characteristics('linkcost', '1', '0')
latency_characteristics = compose_latency_characteristics('2')
return {
'link_Id': link_uuid, 'link_endpoint_ids': endpoint_ids, 'forwarding_direction': forwarding_direction,
'total-potential-capacity': total_potential_capacity, 'available-capacity': available_capacity,
'cost-characteristics': cost_characteristics, 'latency-characteristics': latency_characteristics,
}
def compose_service(grpc_service : Service, algorithm : Dict) -> Dict:
context_uuid = grpc_service.service_id.service_id.context_id.context_uuid.uuid
service_uuid = grpc_service.service_id.service_id.service_uuid.uuid
service_id = compose_service_id(context_uuid, service_uuid)
service_type = grpc_service.service_type
endpoint_ids = []
for service_endpoint_id in grpc_service.service_endpoint_ids:
context_uuid = service_endpoint_id.topology_id.context_id.context_uuid.uuid
topology_uuid = service_endpoint_id.topology_id.topology_uuid.uuid
device_uuid = service_endpoint_id.device_id.device_uuid.uuid
endpoint_uuid = service_endpoint_id.endpoint_uuid.uuid
topology_id = compose_topology_id(context_uuid, topology_uuid)
endpoint_id = compose_endpoint_id(topology_id, device_uuid, endpoint_uuid)
endpoint_ids.append(endpoint_id)
constraints = []
for service_constraint in grpc_service.service_constraints:
if service_constraint.WhichOneof('constraint') != 'custom':
MSG = 'Constraint({:s}) not supported'
str_constraint = grpc_message_to_json_string(service_constraint)
raise NotImplementedError(MSG.format(str_constraint))
constraint_type = service_constraint.custom.constraint_type
constraint_value = service_constraint.custom.constraint_value
constraints.append(compose_constraint(constraint_type, constraint_value))
# algorithm to be executed
algorithm_id = algorithm.get('id', 'SP')
# if multiple services included in the request, prevent contention
# If true, services are computed one after the other and resources
# assigned to service i, are considered as used by services i+1..n
sync_paths = algorithm.get('sync', False)
k_paths = algorithm.get('k_paths', 1)
return {
'serviceId': service_id,
'serviceType': service_type,
'service_endpoints_ids': endpoint_ids,
'service_constraints': constraints,
'algId': algorithm_id,
'syncPaths': sync_paths,
'kPaths': k_paths,
}