from .DataStream import ENetPosmap as pos_map
from .NetcheckPainter import NetcheckPainter, net_pathes
from .NetchkReader import NetchkReader
from matplotlib.figure import Figure
from matplotlib import ticker
from io import BytesIO
import numpy as np
from .algorithm import calc_cov_netfail
import time as time

import logging
logger = logging.getLogger('NetcheckCovPainter')

class NetcheckCovPainter(NetcheckPainter):
    def __init__(self, start_time: int, end_time: int, chnames: set = None, filter_wave: int = None):
        self._reader = NetchkReader()
        filter_wave = filter_wave or 3600
        self._chnames, self._filter_wave = chnames, filter_wave
        self._days, self._start_time, self._end_time, self._interval = self.calc_time(self._reader, start_time, end_time)
        pass

    def paint(self):
        reader = self._reader
        if len(self._days) == 0:
            return BytesIO()

        tuple_pathes = reader.many_tuple_path(self._days, self._chnames)
        gen = net_pathes(reader, tuple_pathes, self._days)
        day_stamp = self._days[0]

        fig_create, fig_flush = self._fig_funs()
        ax, fig = fig_create()
        x = np.array([d - self._start_time for d in range(self._start_time, self._end_time)])
        window = np.ones(self._filter_wave)

        stime = lambda t: time.strftime('%y-%m-%d %H:%M:%S', time.localtime(t))
        logger.debug("start_time %d, %s end_time=%s", self._start_time, stime(self._start_time), stime(self._end_time))

        chname_ratios = []
        for _chname, _data in gen:
            fail, fails, count = calc_cov_netfail(_data, pos_map, self._start_time - day_stamp, self._end_time - day_stamp, window)
            label, ratio = self._label(chname=_chname, succ=fails, count=count)
            ax.plot(x, fail, ls='-', label=label)
            if _chname != 'all':
                chname_ratios.append((_chname, ratio))

        xticks = self.calc_xticks(self._start_time, self._end_time, self._interval)
        xlables = [time.strftime('%d-%H:%M:%S', time.localtime(d + self._start_time)) for d in xticks]
        buf = fig_flush(ax, fig, xticks, xlables)

        chname_ratios = sorted(chname_ratios, key=lambda x: (x[1], x[0]), reverse=True)
        result = []
        for name, ratio in chname_ratios:
            result.append(f'{name}:{ratio}')

        return buf, result