# 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.

import grpc, json, logging, requests, uuid
from typing import Dict, Tuple
from common.proto.context_pb2 import Empty, EndPointId, Service
from common.proto.pathcomp_pb2 import PathCompReply, PathCompRequest
from common.proto.pathcomp_pb2_grpc import PathCompServiceServicer
from common.rpc_method_wrapper.Decorator import create_metrics, safe_and_metered_rpc_method
from common.tools.grpc.Tools import grpc_message_to_json_string
from context.client.ContextClient import ContextClient
from pathcomp.frontend.Config import BACKEND_URL
from pathcomp.frontend.service.tools.ComposeRequest import compose_device, compose_link, compose_service
#from pathcomp.frontend.service.tools.Constants import CapacityUnit

LOGGER = logging.getLogger(__name__)

SERVICE_NAME = 'PathComp'
METHOD_NAMES = ['Compute']
METRICS = create_metrics(SERVICE_NAME, METHOD_NAMES)

class PathCompServiceServicerImpl(PathCompServiceServicer):
    def __init__(self) -> None:
        LOGGER.debug('Creating Servicer...')
        LOGGER.debug('Servicer Created')

    @safe_and_metered_rpc_method(METRICS, LOGGER)
    def Compute(self, request : PathCompRequest, context : grpc.ServicerContext) -> PathCompReply:
        LOGGER.info('[Compute] begin ; request = {:s}'.format(grpc_message_to_json_string(request)))

        algorithm = request.WhichOneof('algorithm')
        if algorithm == 'shortest_path':
            # no attributes
            pass
        elif algorithm == 'k_shortest_path':
            k_inspection = request.k_shortest_path.k_inspection
            k_return = request.k_shortest_path.k_return
        else:
            raise NotImplementedError('Unsupported Algorithm: {:s}'.format(str(algorithm)))

        context_client = ContextClient()

        algorithm = {'id': 'KSP', 'sync': False, 'k_paths': k_return}
        service_list = [
            compose_service(grpc_service, algorithm)
            for grpc_service in request.services
        ]
        get_service_key = lambda service_id: (service_id['contextId'], service_id['service_uuid'])
        service_dict : Dict[Tuple[str, str], Tuple[Dict, Service]] = {
            get_service_key(json_service['serviceId']): (json_service, grpc_service)
            for json_service,grpc_service in zip(service_list, request.services)
        }
        #LOGGER.info('service_dict = {:s}'.format(str(service_dict)))

        # TODO: consider filtering resources

        #grpc_contexts = context_client.ListContexts(Empty())
        #for grpc_context in grpc_contexts.contexts:
        #    # TODO: add context to request
        #    grpc_topologies = context_client.ListTopologies(grpc_context.context_id)
        #    for grpc_topology in grpc_topologies.topologies:    #pylint: disable=unused-variable
        #        # TODO: add topology to request
        #        pass

        grpc_devices = context_client.ListDevices(Empty())
        device_list = [
            compose_device(grpc_device)
            for grpc_device in grpc_devices.devices
        ]
        endpoint_dict : Dict[str, Dict[str, Tuple[Dict, EndPointId]]] = {
            json_device['device_Id']: {
                json_endpoint['endpoint_id']['endpoint_uuid']: (json_endpoint['endpoint_id'], grpc_endpoint.endpoint_id)
                for json_endpoint,grpc_endpoint in zip(json_device['device_endpoints'], grpc_device.device_endpoints)
            }
            for json_device,grpc_device in zip(device_list, grpc_devices.devices)
        }
        #LOGGER.info('endpoint_dict = {:s}'.format(str(endpoint_dict)))

        grpc_links = context_client.ListLinks(Empty())
        link_list = [
            compose_link(grpc_link)
            for grpc_link in grpc_links.links
        ]

        request = {
            'serviceList': service_list,
            'deviceList' : device_list,
            'linkList'   : link_list,
        }

        #with open('pc-req.json', 'w', encoding='UTF-8') as f:
        #    f.write(json.dumps(request, sort_keys=True, indent=4))

        reply = requests.post(BACKEND_URL, json=request)
        if reply.status_code not in {requests.codes.ok}:
            raise Exception('Backend error({:s}) for request({:s})'.format(
                str(reply.content.decode('UTF-8')), json.dumps(request, sort_keys=True)))
        LOGGER.info('status_code={:s} reply={:s}'.format(
            str(reply.status_code), str(reply.content.decode('UTF-8'))))

        json_reply = reply.json()
        response_list = json_reply.get('response-list', [])
        reply = PathCompReply()
        for response in response_list:
            service_key = get_service_key(response['serviceId'])
            tuple_service = service_dict.get(service_key)
            if tuple_service is None: raise Exception('ServiceKey({:s}) not found'.format(str(service_key)))
            json_service, grpc_service = tuple_service

            # TODO: implement support for multi-point services
            service_endpoint_ids = grpc_service.service_endpoint_ids
            if len(service_endpoint_ids) != 2: raise NotImplementedError('Service must have 2 endpoints')

            service = reply.services.add()
            service.CopyFrom(grpc_service)

            connection = reply.connections.add()
            connection.connection_id.connection_uuid.uuid = str(uuid.uuid4())
            connection.service_id.CopyFrom(service.service_id)

            no_path_issue = response.get('noPath', {}).get('issue')
            if no_path_issue is not None:
                # no path found: leave connection with no endpoints
                # no_path_issue == 1 => no path due to a constraint
                continue

            service_paths = response['path']

            for service_path in service_paths:
                # ... "path-capacity": {"total-size": {"value": 200, "unit": 0}},
                # ... "path-latency": {"fixed-latency-characteristic": "10.000000"},
                # ... "path-cost": {"cost-name": "", "cost-value": "5.000000", "cost-algorithm": "0.000000"},
                #path_capacity = service_path['path-capacity']['total-size']
                #path_capacity_value = path_capacity['value']
                #path_capacity_unit = CapacityUnit(path_capacity['unit'])
                #path_latency = service_path['path-latency']['fixed-latency-characteristic']
                #path_cost = service_path['path-cost']
                #path_cost_name = path_cost['cost-name']
                #path_cost_value = path_cost['cost-value']
                #path_cost_algorithm = path_cost['cost-algorithm']

                path_endpoints = service_path['devices']
                for endpoint in path_endpoints:
                    device_uuid = endpoint['device_id']
                    endpoint_uuid = endpoint['endpoint_uuid']
                    endpoint_id = connection.path_hops_endpoint_ids.add()
                    endpoint_id.CopyFrom(endpoint_dict[device_uuid][endpoint_uuid][1])

        LOGGER.info('[Compute] end ; reply = {:s}'.format(grpc_message_to_json_string(reply)))
        return reply