ChannelCovPainter.py 2.8 KB

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  1. from .DataStream import EChPosmap as pos_map
  2. from .ChannelReader import ChannelReader
  3. from .ChannelPainter import ChannelPainter, ratio_pathes
  4. from matplotlib.figure import Figure
  5. from matplotlib import ticker
  6. from io import BytesIO
  7. import numpy as np
  8. from .algorithm import calc_cov_chratios
  9. import time as time
  10. import logging
  11. logger = logging.getLogger('ChannelCumPainter')
  12. class ChannelCovPainter(ChannelPainter):
  13. def __init__(self, start_time: int, end_time: int, chnames: set = None, card_types: set = None, spec: int = None, filter_wave: int = None):
  14. self._reader = ChannelReader()
  15. filter_wave = filter_wave or 3600
  16. self._chnames, self._card_types, self._spec, self._filter_wave = chnames, card_types, spec, filter_wave
  17. days, self._start_time, self._end_time, self._interval = self.calc_time(self._reader, start_time, end_time)
  18. pass
  19. def paint(self):
  20. reader = self._reader
  21. days, _start_time, _end_time, _interval = self.calc_time(self._reader, self._start_time - self._filter_wave, self._end_time)
  22. if len(days) == 0:
  23. return BytesIO()
  24. tuple_pathes = reader.many_tuple_path(days, self._chnames, self._card_types, self._spec)
  25. gen = ratio_pathes(reader, tuple_pathes, days, self._spec)
  26. day_stamp = days[0]
  27. fig_create, fig_flush = self._fig_funs()
  28. ax, fig = fig_create()
  29. x = np.array([d - self._start_time for d in range(self._start_time, self._end_time)])
  30. window = np.ones(self._filter_wave)
  31. left_len = self._start_time - _start_time
  32. right_len = 0
  33. stime = lambda t: time.strftime('%d-%H:%M:%S', time.localtime(t))
  34. logger.debug("start_time %d, %s end_time=%s left_len=%d right_len=%d",
  35. self._start_time, stime(self._start_time), stime(self._end_time),left_len,right_len)
  36. chname_ratios = []
  37. for _chname, _card_type, _spec, _data in gen:
  38. succ, count, y = calc_cov_chratios(_data, pos_map, _start_time - day_stamp, _end_time - day_stamp, window, left_len, right_len)
  39. label, ratio = self._label(chname=_chname, succ=succ, count=count, card_type=_card_type, spec=_spec)
  40. ax.plot(x, y, ls='-', label=label)
  41. if _card_type is None and _spec is None and _chname != 'all':
  42. chname_ratios.append((_chname, ratio))
  43. xticks = self.calc_xticks(self._start_time, self._end_time, self._interval)
  44. xlables = [time.strftime('%d-%H:%M:%S', time.localtime(d + self._start_time)) for d in xticks]
  45. buf = fig_flush(ax, fig, xticks, xlables)
  46. chname_ratios = sorted(chname_ratios, key=lambda x: (x[1], x[0]), reverse=True)
  47. result = []
  48. for name, ratio in chname_ratios:
  49. result.append(f'{name}:{ratio}')
  50. return buf, result