mirror of
https://github.com/mpv-player/mpv
synced 2024-12-25 16:33:02 +00:00
73ea0ddc08
Add an explicit "signal" event type, because the implicit one was confusing. Don't rescale the Y axis of the second graph, it was nonsense. Make the legend for the second graph separate (and cleanup the code creating the graphs).
134 lines
3.9 KiB
Python
Executable File
134 lines
3.9 KiB
Python
Executable File
#!/usr/bin/env python3
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import matplotlib.pyplot as plot
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import sys
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import re
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filename = sys.argv[1]
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event_regex = re.compile(".*")
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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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'signal' <name> singular event
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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-timed' <ts> <name> singular event at the given timestamp
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'value-timed' <ts> <float> <name>
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a value for an event at the given timestamp
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<name> singular event (same as 'signal')
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"""
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class G:
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events = {}
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start = None
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# http://matplotlib.org/api/markers_api.html#module-matplotlib.markers
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markers = ["o", "8", "s", "p", "*", "h", "+", "x", "D"]
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def find_marker():
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if len(G.markers) == 0:
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return "o"
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m = G.markers[0]
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G.markers = G.markers[1:]
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return m
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class Event:
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pass
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def get_event(event, evtype):
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if event not in G.events:
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e = Event()
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e.name = event
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e.vals = []
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e.type = evtype
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e.marker = "o"
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if e.type == "event-signal":
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e.marker = find_marker()
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if not event_regex.match(e.name):
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return e
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G.events[event] = e
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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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line = line.strip()
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if not line:
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continue
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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:], "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:], "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, "value")
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e.vals.append((ts, val))
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elif event.startswith("event-timed "):
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_, val, name = event.split(" ", 2)
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val = int(val) / 1000 - G.start
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e = get_event(name, "event-signal")
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e.vals.append((val, 1))
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elif event.startswith("value-timed "):
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_, tsval, val, name = event.split(" ", 3)
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tsval = int(tsval) / 1000 - G.start
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val = float(val)
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e = get_event(name, "value")
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e.vals.append((tsval, val))
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elif event.startswith("signal "):
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name = event.split(" ", 2)[1]
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e = get_event(name, "event-signal")
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e.vals.append((ts, 1))
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else:
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e = get_event(event, "event-signal")
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e.vals.append((ts, 1))
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# deterministically sort them; make sure the legend is sorted too
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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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hasval = False
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for e, index in zip(G.sevents, range(len(G.sevents))):
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m = len(G.sevents)
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if e.type == "value":
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hasval = True
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else:
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e.vals = [(x, y * (m - index) / m) for (x, y) in e.vals]
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fig = plot.figure()
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fig.hold(True)
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ax = [None, None]
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plots = 2 if hasval else 1
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ax[0] = fig.add_subplot(plots, 1, 1)
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if hasval:
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ax[1] = fig.add_subplot(plots, 1, 2, sharex=ax[0])
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legends = [[], []]
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for e in G.sevents:
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cur = ax[1 if e.type == "value" else 0]
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pl, = cur.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 = e.marker, linestyle = "None")
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for cur in ax:
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if cur is not None:
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cur.legend()
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plot.show()
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