#   Copyright (c) 2019  PaddlePaddle Authors. 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
#
#     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 collections
import copy as cp


class GraphNode(object):
    def __init__(self, layer, layer_name=None):
        self.inputs = list()
        self.outputs = list()
        self.layer = layer

        assert layer_name is not None, "layer_name for GraphNode should not be None"
        self.layer_name = layer_name

    def __hash__(self):
        return hash(self.layer.name)

    def __eq__(self, other):
        if self.layer.name == other.layer.name:
            return True
        return False


class Graph(object):
    def __init__(self, model):
        self.node_map = collections.OrderedDict()
        self.input_nodes = list()
        self.output_nodes = list()
        self.topo_sort = list()
        self.model = model

    def build(self):
        self._make_input_nodes()
        self._make_output_nodes()
        self._get_topo_sort()

    def _make_input_nodes(self):
        for name, node in self.node_map.items():
            if len(node.inputs) == 0:
                self.input_nodes.append(name)

    def _make_output_nodes(self):
        for name, node in self.node_map.items():
            if len(node.outputs) == 0:
                self.output_nodes.append(name)

    def _get_topo_sort(self):
        num_inputs = dict()
        for name, node in self.node_map.items():
            num_inputs[name] = len(node.inputs)

        self.topo_sort = self.input_nodes[:]
        idx = 0
        while idx < len(self.topo_sort):
            current_node = self.node_map[self.topo_sort[idx]]
            for node in current_node.outputs:
                num_inputs[node] -= 1
                if num_inputs[node] == 0:
                    self.topo_sort.append(node)
            idx += 1

    def get_node(self, name, copy=False):
        if name not in self.node_map:
            if name.split(':')[0] in self.node_map:
                name_prefix, idx = name.split(':')
                if copy:
                    node = cp.copy(self.node_map[name_prefix])
                else:
                    node = self.node_map[name_prefix]
                node.index = int(idx)
                return node
            else:
                raise Exception("Graph doesn't have node [%s]." % name)
        else:
            if copy:
                node = cp.copy(self.node_map[name])
            else:
                node = self.node_map[name]
            return node

    def connect(self, src, dst):
        if dst not in self.node_map:
            raise Exception("node[{}] not in graph".format(dst))
        self.node_map[dst].inputs.append(src)
        self.node_map[src].outputs.append(dst)

    def remove_node(self, node_name):
        if node_name not in self.node_map:
            raise Exception("Node[{}] not in graph".format(node_name))
        inputs = self.node_map[node_name].inputs
        outputs = self.node_map[node_name].outputs
        for input in inputs:
            idx = self.node_map[input].outputs.index(node_name)
            del self.node_map[input].outputs[idx]
        for output in outputs:
            idx = self.node_map[input].inputs.index(node_name)
            del self.node_map[input].inputs[idx]
        del self.node_map[node_name]

        print("remove topo", node_name)
        idx = self.topo_sort.index(node_name)
        del self.topo_sort[idx]

    def print(self):
        for i, tmp in enumerate(self.topo_sort):
            print(tmp, self.node_map[tmp].layer_type, self.node_map[tmp].inputs,
                  self.node_map[tmp].outputs)