mirror of
https://github.com/mpv-player/mpv
synced 2024-12-24 07:42:17 +00:00
89 lines
2.3 KiB
Python
89 lines
2.3 KiB
Python
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#!/usr/bin/env python3
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import matplotlib.pyplot as plot
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import sys
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filename = sys.argv[1]
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"""
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This script is meant to display stats written by mpv --dump-stats=filename.
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In general, each line in that file is an event of the form:
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<timestamp in microseconds> <text> '#' <comment>
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e.g.:
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10474959 start flip #cplayer
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<text> is what MP_STATS(log, "...") writes. The rest is added by msg.c.
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Currently, the following event types are supported:
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'start' <name> start of the named event
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'end' <name> end of the named event
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'value' <float> <name> a normal value (as opposed to event)
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<event> singular event
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"""
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class G:
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events = {}
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sevents = [] # events, deterministically sorted
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start = None
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class Event:
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pass
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def get_event(event):
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if event not in G.events:
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e = Event()
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G.events[event] = e
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e.name = event
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e.vals = []
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e.type = "unknown"
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G.sevents = list(G.events.values())
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G.sevents.sort(key=lambda x: x.name)
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return G.events[event]
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for line in [line.split("#")[0].strip() for line in open(filename, "r")]:
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ts, event = line.split(" ", 1)
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ts = int(ts) / 1000 # milliseconds
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if G.start is None:
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G.start = ts
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ts = ts - G.start
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if event.startswith("start "):
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e = get_event(event[6:])
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e.type = "event"
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e.vals.append((ts, 0))
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e.vals.append((ts, 1))
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elif event.startswith("end "):
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e = get_event(event[4:])
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e.type = "event"
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e.vals.append((ts, 1))
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e.vals.append((ts, 0))
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elif event.startswith("value "):
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_, val, name = event.split(" ", 2)
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val = float(val)
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e = get_event(name)
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e.type = "value"
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e.vals.append((ts, val))
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else:
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e = get_event(event)
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e.type = "event-signal"
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e.vals.append((ts, 1))
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plot.hold(True)
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mainpl = plot.subplot(2, 1, 1)
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legend = []
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for e in G.sevents:
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if e.type == "value":
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plot.subplot(2, 1, 2, sharex=mainpl)
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else:
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plot.subplot(2, 1, 1)
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pl, = plot.plot([x for x,y in e.vals], [y for x,y in e.vals], label=e.name)
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if e.type == "event-signal":
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plot.setp(pl, marker = "o", linestyle = "None")
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legend.append(pl)
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plot.subplot(2, 1, 1)
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plot.legend(legend, [pl.get_label() for pl in legend])
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plot.show()
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