[f2b18d01] | 1 | #!/usr/bin/python3 |
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| 2 | import numpy as np |
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| 3 | import re |
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| 4 | import sys, getopt |
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| 5 | import argparse |
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| 6 | |
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| 7 | class Proc: |
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| 8 | def __init__(self, id, name, address): |
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| 9 | self.name = name |
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| 10 | self.address = address |
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| 11 | self.id = id |
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| 12 | |
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| 13 | class Point: |
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| 14 | def __init__(self, time, on): |
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| 15 | self.time = time |
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| 16 | self.on = on |
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| 17 | |
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| 18 | processors = {} |
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| 19 | data = {} |
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| 20 | |
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| 21 | #-------------------------------------------------------------------------------- |
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| 22 | # Parse data |
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| 23 | with open(sys.argv[1], "r") as f: |
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| 24 | for line in f: |
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| 25 | match = re.match("Processor : ([0-9]+) - (.*) \((0x[0-9a-f]+)\)", line) |
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| 26 | if match : |
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| 27 | id = int(match.group(1)) |
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| 28 | processors[id] = Proc(id, match.group(2), match.group(3)) |
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| 29 | continue |
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| 30 | |
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| 31 | match = re.match("PH:([0-9]+) - ([0-9]+) ([0-9]+)", line) |
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| 32 | if match : |
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| 33 | id = int(match.group(1)) |
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| 34 | if not id in data: |
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| 35 | data[id] = [] |
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| 36 | data[id].append(Point(int(match.group(2)), int(match.group(3)))) |
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| 37 | continue |
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| 38 | |
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| 39 | print("WARNING : line '%s' filterred not matched" % line, file=sys.stderr) |
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| 40 | |
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| 41 | #-------------------------------------------------------------------------------- |
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| 42 | # Check data |
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| 43 | for d in data: |
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| 44 | if not d in processors: |
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| 45 | print("WARNING : unkown processor '%s'" % d, file=sys.stderr) |
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| 46 | |
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| 47 | prevT = data[d][0].time |
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| 48 | prevO = data[d][0].on |
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| 49 | for p in data[d][1:]: |
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| 50 | if prevT > p.time: |
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| 51 | print("WARNING : Time is inconsistant for Proc '%s'" % d, file=sys.stderr) |
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| 52 | |
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| 53 | if prevO == p.on: |
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| 54 | print("WARNING : State is inconsistant for Proc '%s' at %s-%s" % (d, prevT, p.time), file=sys.stderr) |
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| 55 | |
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| 56 | prevT = p.time |
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| 57 | prevO = p.on |
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| 58 | |
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| 59 | |
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| 60 | #-------------------------------------------------------------------------------- |
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| 61 | # Convert data to series |
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| 62 | offset = min(data) |
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| 63 | print(offset) |
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| 64 | |
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| 65 | series=dict() ## dict of pairs of arrays |
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| 66 | for d in data: |
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| 67 | series[d] = ([], [], []) |
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| 68 | for p in data[d]: |
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| 69 | series[d][0].append( p.time ) |
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| 70 | series[d][1].append(p.on + d - offset) |
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| 71 | series[d][2].append(d - offset) |
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| 72 | |
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| 73 | #-------------------------------------------------------------------------------- |
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| 74 | # setup matplotlib |
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| 75 | import matplotlib as mpl |
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| 76 | mpl.use('Agg') |
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| 77 | import matplotlib.pyplot as plt |
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| 78 | import matplotlib.ticker as ticker |
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| 79 | plt.style.use('dark_background') |
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| 80 | |
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| 81 | #-------------------------------------------------------------------------------- |
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| 82 | # setup plot |
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| 83 | dots_per_inch = 2000 |
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| 84 | height_inches = 5 |
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| 85 | width_inches = 12 |
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| 86 | fig = plt.figure(figsize=(width_inches, height_inches), dpi=dots_per_inch) |
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| 87 | print('number of series={}'.format(len(series))) |
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| 88 | for s, xy in series.items(): |
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| 89 | print(' plotting series {} with {} points'.format(s, len(xy[0]))) |
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| 90 | plt.fill_between(xy[0], xy[1], xy[2], step="post", alpha=0.4) |
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| 91 | plt.step(xy[0], xy[1], where='post') |
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| 92 | |
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| 93 | #-------------------------------------------------------------------------------- |
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| 94 | # y axis major, minor |
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| 95 | ax = plt.gca() |
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| 96 | ax.grid(which='major', axis='y', linestyle='-', color='lightgray') |
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| 97 | ax.yaxis.set_minor_locator(ticker.AutoMinorLocator()) |
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| 98 | ax.grid(which='minor', axis='y', linestyle='dotted', color='gray') |
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| 99 | |
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| 100 | #-------------------------------------------------------------------------------- |
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| 101 | # x axis major, minor |
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| 102 | ax.grid(which='major', axis='x', linestyle='-', color='lightgray') |
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| 103 | ax.xaxis.set_minor_locator(ticker.AutoMinorLocator()) |
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| 104 | ax.grid(which='minor', axis='x', linestyle='dotted', color='gray') |
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| 105 | |
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| 106 | #-------------------------------------------------------------------------------- |
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| 107 | # do the plot |
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| 108 | plt.tight_layout() |
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| 109 | print("saving figure image %s\n" % "out.svg") |
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| 110 | plt.savefig("out.svg") |
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