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@ -66,7 +66,23 @@ def main():
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# Show the plot
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x = sorted(ts.data.keys()) # times
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states = sorted(ts.states)
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# first is lowest
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states_low = (
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'lost',
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'ignored',
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'uninteresting',
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'broken',
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'preview',
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'cutting',
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'transcoding',
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'publishing',
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)
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states_high = (
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'done',
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'waiting_for_files',
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)
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states_other = tuple(sorted(ts.states - (set(states_low) | set(states_high))))
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states = states_low + states_other + states_high
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ys = [tuple(ts.data[time][0].get(state, 0) for state in states) for time in x] # numbers per state
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# We do not show jobstates atm. Too lazy.
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# ys are transposed – we need vectors by times, not by states.
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