#!/usr/bin/env python3

import os
import multiprocessing
from datetime import datetime
from random import sample, seed
import rank_with_churn
import glob
from node_ranking import (
    # page_rank,
    # sensor_rank,
    # find_rank,
    parse_csv,
    # csv_loader,
    build_graph,
    # Node,
    # RankedNode,
)


def open_mkdir(path, mode):
    os.makedirs(os.path.dirname(path), exist_ok=True)
    return open(path, mode)

def load_data(path):
    data = []
    with open(path, 'r') as f:
        for line in f:
            data.append(parse_csv(line))

    return data

def edges_from(g, node):
    return list(filter(lambda e: e[1] == node, g.edges()))

def remove_edges(path, edges, percentage):
    when = datetime.fromtimestamp(float(path.split('/')[-1][:-4]))
    log = f'{when=}, {percentage=}'
    print(log)
    # edges = load_data(path)
    g = build_graph(edges)
    edges = edges_from(g, rank_with_churn.KNOWN)
    for_removal = sample(edges, int(len(edges) * percentage))
    for edge in for_removal:
        g.remove_edge(edge[0], edge[1])
    path = f'./edges_reduced/{percentage:.02f}/{when.timestamp()}.txt'
    rows = []
    with open_mkdir(path, 'w') as f:
        for [s, d] in g.edges():
            f.write(f'{s.node.ip},{s.node.port},{d.node.ip},{d.node.port}\n')
        # f.write(row)
    return f'done: {log}'


def work(params):
    # print(f'starting work {params=}')
    path, edges, percentage = params
    remove_edges(path, edges, percentage)


percentages = [0.0, 0.1, 0.2, 0.25, 0.3, 0.4, 0.5, 0.6, 0.7, 0.75, 0.8, 0.9]
# percentages = [0.0]
def main():
    params = []
    for file in glob.glob('./edges/*.txt'):
        edges = load_data(file)
        for percentage in percentages:
            params.append([file, edges, percentage])
            # remove_edges(file, percentage)

    print('created params')
    with multiprocessing.Pool(processes=8) as pool:
        res = pool.map(work, params)
        for r in res:
            print(r)


if __name__ == '__main__':
    main()