xyzshop/plot/refill/ChannelCovPainter.py

from .DataStream import EChPosmap as pos_map
from .ChannelReader import ChannelReader, ChPlotFilter
from .ChannelPainter import ChannelPainter, chratios_pathes
from matplotlib.figure import Figure
from matplotlib import ticker
from io import BytesIO
import numpy as np
from .algorithm import calc_cov_chratios, calc_count_cdf
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,
                 all_show_type: int = 3):
        self._reader = ChannelReader()
        filter_wave = filter_wave or 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)
        self._filter = ChPlotFilter(self._chnames, self._card_types, self._spec, all_show_type)
        pass

    def _fig_create(self):
        fig = Figure(figsize=(16, 12))
        gs = fig.add_gridspec(nrows=3, height_ratios=(4, 4, 4))

        ax_succ_cdf = fig.add_subplot(gs[0, :], )
        ax_commit_cdf = fig.add_subplot(gs[1, :], sharex=ax_succ_cdf)
        ax_ratio = fig.add_subplot(gs[2, :], sharex=ax_succ_cdf)

        ax_succ_cdf.set_title('succ orders vs time (cdf)')
        ax_commit_cdf.set_title('commit orders vs time (cdf)')
        ax_ratio.set_title('success ratio vs time')

        return fig, ax_succ_cdf, ax_commit_cdf, ax_ratio

    def _flush(self, fig, ax_succ_cdf, ax_commit_cdf, ax_ratio, xticks, xlables, line_lables):
        def show_legent(ax, labels):
            size = len(line_lables)
            if size == 0:
                return False

            max_col = 8
            s = int(size / max_col)
            m = size % max_col
            if s == 0 and m > 0:
                ncol = m
            else:
                ncol = max_col
            leg = ax_ratio.legend(tuple(line_lables), loc='upper left', ncol=8, mode="expand", shadow=True, fancybox=False)
            leg.get_frame().set_alpha(0.2)
            return True

        ax_succ_cdf.grid()
        ax_commit_cdf.set_xticks(ticks=xticks)
        ax_commit_cdf.set_xticklabels(xlables)
        ax_commit_cdf.grid()
        ax_ratio.yaxis.set_major_formatter(ticker.PercentFormatter(xmax=1, decimals=4))
        ax_ratio.grid()
        show_legent(ax_ratio, line_lables)
        fig.autofmt_xdate()
        fig.tight_layout()

        buf = BytesIO()
        fig.savefig(buf, format="png")
        return buf

    def paint(self):
        reader = self._reader
        days, _start_time, _end_time, _interval = self.calc_time(self._reader, self._start_time - self._filter_wave, self._end_time)
        if len(days) == 0:
            return BytesIO()

        tuple_pathes = reader.many_tuple_path(days, self._chnames, self._card_types, self._spec)
        gen = chratios_pathes(reader, tuple_pathes, days)
        day_stamp = days[0]

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

        left_len = self._start_time - _start_time
        right_len = 0
        stime = lambda t: time.strftime('%d-%H:%M:%S', time.localtime(t))
        logger.debug("start_time %d, %s end_time=%s left_len=%d right_len=%d",
                     self._start_time, stime(self._start_time), stime(self._end_time), left_len, right_len)

        chname_ratios = []

        fig, ax_succ_cdf, ax_commit_cdf, ax_ratio = self._fig_create()
        line_lables = []

        filter = self._filter
        icolor = 0
        for _chname, _card_type, _spec, _data in gen:
            show_plot = filter.show_plot(_chname,_card_type,_spec)
            show_ratio = _card_type is None and _spec is None

            if show_plot or show_ratio:
                logger.debug(f'chname={_chname}, card_type={_card_type}, spec={_spec} show_plot ={show_plot}')
                _succ, _commit, y, _succ_period, _fail_period = calc_cov_chratios(_data, pos_map, _start_time - day_stamp, _end_time - day_stamp, window,
                                                                                  left_len, right_len)
                _succs, _commits = calc_count_cdf(_data, pos_map, _start_time - day_stamp, _end_time - day_stamp, left_len, right_len)
            if show_plot:
                color = self.color(icolor)
                icolor += 1

                label = self._label_simple(chname=_chname, filter=filter, card_type=_card_type, spec=_spec)
                line_lables.append(label)

                ax_ratio.plot(x, y, ls='-', color=color)
                ax_succ_cdf.plot(x, _succs, ls='-', color=color)
                ax_commit_cdf.plot(x, _commits, ls='-', color=color)
            if show_ratio:
                _ratio = _succ / (_commit + 0.00001)
                _ratio = round(_ratio, 5)
                chname_ratios.append((_chname, _ratio, _succ, _commit, _succ_period, _fail_period))

        xticks, xlables = self.clac_xlables(self._start_time, self._end_time, self._interval)
        buf = self._flush(fig, ax_succ_cdf, ax_commit_cdf, ax_ratio, xticks, xlables, line_lables)
        chname_ratios = sorted(chname_ratios, key=lambda x: x[1], reverse=True)

        result = {}
        ratios = {}
        for _chname, _ratio, _succ, _commit, _succ_period, _fail_period in chname_ratios:
            ratios[_chname] = [_ratio, _succ, _commit, _succ_period, _fail_period]
        result['detail'] = ratios

        return buf, result