import random
import networkx as nx
import matplotlib.pyplot as plt
from matplotlib import animation


class Node:
    def __init__(self, is_infected=False):
        self.id = random.randint(1, 2000000)
        self.is_infected = is_infected

    def as_tuple(self):
        return self.id, self.is_infected

    def __repr__(self):
        return f'id: {self.id}, infected: {self.is_infected}'


class Edge:
    def __init__(self, node_a: Node, node_b: Node, weight: float):
        self.node_a = node_a
        self.node_b = node_b
        self.weight = weight

    def as_tuple(self):
        return self.node_a, self.node_b, {'weight': self.weight}


class Graph:
    def __init__(self):
        self.edges = []

    def add_edge(self, edge: Edge):
        self.edges.append(edge)

    def add_edges(self, edges: [Edge]):
        [self.edges.append(e) for e in edges]

    def get_nodes(self) -> [Node]:
        nodes = set()
        for edge in self.edges:
            nodes.add(edge.node_a)
            nodes.add(edge.node_b)
        return nodes


def update(num, layout, g_repr, ax, our_graph: Graph):
    """
    This function is called every 'step', so if you wish to update the graph, do it here
    """
    ax.clear()

    for n in our_graph.get_nodes():
        n.is_infected = bool(random.getrandbits(1))

    colors = ['red' if n.is_infected else 'blue' for n in g_repr]
    sizes = [50 if n.is_infected else 1 for n in g_repr]
    nx.draw(
        g_repr,
        ax=ax,
        pos=layout,
        node_color=colors,
        with_labels=False,
        node_size=sizes,
        node_shape="s",
        alpha=0.5,
        linewidths=40,
    )


def do_graph_animation(output_file_name: str, in_graph: Graph, frame_count: int, layout):
    g_repr = nx.Graph()
    # Convert our graph class into tuples understood by networkx
    g_repr.add_edges_from([e.as_tuple() for e in in_graph.edges])

    layout = layout(g_repr)
    fig, ax = plt.subplots()

    fig.set_figwidth(15)
    fig.set_figheight(15)

    anim = animation.FuncAnimation(
        fig, update, frames=frame_count, fargs=(layout, g_repr, ax, in_graph)
    )
    anim.save(output_file_name)

    plt.style.use('seaborn')
    plt.show()


def bus_network(n=30) -> Graph:
    network = Graph()
    nodes = [Node() for _ in range(n)]
    edges = [Edge(nodes[i], nodes[i + 1], 1.0) for i in range(n - 1)]

    network.add_edges(edges)
    return network


def ring_network(n=30) -> Graph:
    network = Graph()
    nodes = [Node() for _ in range(n)]
    edges = [Edge(nodes[i], nodes[i + 1], 1.0) for i in range(n - 1)]
    end_edge = Edge(nodes[n - 1], nodes[0], 1.0)
    edges.append(end_edge)

    network.add_edges(edges)
    return network


def main():
    network = Graph()
    nodes = [Node(True), Node(), Node(), Node(True), Node()]

    network.add_edges(
        [
            Edge(nodes[1], nodes[0], 0.02),
            Edge(nodes[1], nodes[2], 0.2),
            Edge(nodes[2], nodes[0], 0.7),
            Edge(nodes[3], nodes[2], 0.2),
            Edge(nodes[3], nodes[1], 0.2),
            Edge(nodes[4], nodes[3], 0.2),
        ]
    )

    do_graph_animation('test.gif', network, 5, nx.spring_layout)

    bus = bus_network()
    do_graph_animation('bus.gif', bus, 5, nx.spiral_layout)

    ring = ring_network()
    do_graph_animation('ring.gif', ring, 5, nx.circular_layout)


if __name__ == "__main__":
    main()