53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
import json
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import matplotlib.pyplot as plt
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import matplotlib.patches as mpatches
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from collections import defaultdict
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from tabulate import tabulate
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json_file = open('timestamps.json')
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timestamps = json.load(json_file)
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for frame_id, services in timestamps.items():
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t0 = min([min(events.values())for events in services.values()])
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print(frame_id)
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d = defaultdict( lambda: ("",""))
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for service, events in services.items():
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for event, time in events.items():
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time = (time-t0)/1e6
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d[time] = (service, event)
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s = sorted(d.items())
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print(tabulate([[item[1][0], item[1][1], item[0]] for item in s], headers=["service", "event", "time"]))
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print()
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exit()
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fig, gnt = plt.subplots()
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maxx = max([max([max(events.values()) for events in services.values()]) for services in timestamps.values()])/1e6
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gnt.set_xlim(0, 150)
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maxy = len(timestamps)
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gnt.set_ylim(0, maxy)
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avg_times = defaultdict(list)
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count = 0
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for frame_id, services in timestamps.items():
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t0 = min([min(events.values())for events in services.values()])
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service_bars = []
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event_bars = []
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print(frame_id)
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for service, events in services.items():
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start = min(events.values())
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end = max(events.values())
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#service_bars.append(((start-t0)/1e6, (end-start)/1e6))
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for event, time in events.items():
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t = (time-t0)/1e6
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event_bars.append((t, 0.1))
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avg_times[service+"."+event].append(t)
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print(" ", service+"."+event, t)
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#gnt.broken_barh(service_bars, (count, 0.9), facecolors=("blue"))
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gnt.broken_barh(event_bars, (count, 0.9), facecolors=("black"))
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count+=1
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print(tabulate([[event, sum(times)/len(times), max(times), len(times)] for event, times in avg_times.items()], headers=["event", "avg", "max", "len"]))
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plt.show(block=True)
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