xyzshop/plot/refill/ChannelCovPainter.py

from .DataStream import EChPosmap as pos_map
from .ChannelReader import ChannelReader
from .ChannelPainter import ChannelPainter, ratio_pathes
from matplotlib.figure import Figure
from matplotlib import ticker
from io import BytesIO
import numpy as np
from .algorithm import calc_cov_chratios
import time as time

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

class ChannelCovPainter(ChannelPainter):
    def __init__(self, start_time: int, end_time: int, chnames: set = None, card_types: set = None, spec: int = None, filter_wave: int = None):
        self._reader = ChannelReader()
        if filter_wave is None:
            filter_wave = 3600
        self._chnames, self._card_types, self._spec, self._filter_wave = chnames, card_types, spec, filter_wave
        _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
        self._days, _start_time, _end_time, _interval = self.calc_time(self._reader, self._start_time - self._filter_wave, self._end_time)

        tuple_pathes = reader.many_tuple_path(self._days, self._chnames, self._card_types, self._spec)
        gen = ratio_pathes(self._reader, tuple_pathes, self._days, self._spec)
        if len(self._days) == 0:
            return BytesIO()

        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)

        split_len = self._start_time - _start_time

        chname_ratios = []
        for _chname, _card_type, _spec, _data in gen:
            succ, count, y = calc_cov_chratios(_data, pos_map, _start_time - day_stamp, _end_time - day_stamp, window, split_len)

            label, ratio = self._label(chname=_chname, succ=succ, count=count, card_type=_card_type, spec=_spec)
            ax.plot(x, y, ls='-', label=label)
            if _card_type is None and _spec is None and _chname != 'all':
                chname_ratios.append((_chname, ratio))

        ticks = [d - self._start_time for d in range(self._start_time, self._end_time + 1, self._interval)]
        xlables = [time.strftime('%d-%H:%M:%S', time.localtime(d + self._start_time)) for d in ticks]
        buf = fig_flush(ax, fig, ticks, 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