137 lines
4.4 KiB
CoffeeScript
137 lines
4.4 KiB
CoffeeScript
$ = jQuery
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context = window
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logger = context.JK.logger
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rest = context.JK.Rest()
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EVENTS = context.JK.EVENTS
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MIX_MODES = context.JK.MIX_MODES
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SessionActions = @SessionActions
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SessionStatThresholds = gon.session_stat_thresholds
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NetworkThresholds = SessionStatThresholds.network
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SystemThresholds = SessionStatThresholds.system
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AudioThresholds = SessionStatThresholds.audio
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@SessionStatsStore = Reflux.createStore(
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{
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listenables: @SessionStatsActions
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rawStats: null
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onPushStats: (stats) ->
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@rawStats = stats
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@changed()
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classify: (holder, field, threshold) ->
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value = holder[field]
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fieldLevel = field + '_level'
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fieldThreshold = threshold[field]
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if value? && fieldThreshold?
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if fieldThreshold.inverse
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if value <= fieldThreshold.poor
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holder[fieldLevel] = 'poor'
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@participantClassification = 3
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else if value <= fieldThreshold.warn
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holder[fieldLevel] = 'warn'
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@participantClassification = 2 if @participantClassification == 1
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else
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holder[fieldLevel] = 'good'
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else if fieldThreshold.eql
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if value == fieldThreshold.poor
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holder[fieldLevel] = 'poor'
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@participantClassification = 3
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else if value == fieldThreshold.warn
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holder[fieldLevel] = 'warn'
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@participantClassification = 2 if @participantClassification == 1
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else
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holder[fieldLevel] = 'good'
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else
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if value >= fieldThreshold.poor
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holder[fieldLevel] = 'poor'
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@participantClassification = 3
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else if value >= fieldThreshold.warn
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holder[fieldLevel] = 'warn'
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@participantClassification = 2 if @participantClassification == 1
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else
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holder[fieldLevel] = 'good'
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changed: () ->
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@stats = {}
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console.log("raw stats", @rawStats)
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for participant in @rawStats
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@participantClassification = 1 # 1=good, 2=warn, 3=poor
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# CPU is 0-100
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if participant.cpu?
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system = {cpu: participant.cpu}
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@classify(system, 'cpu', SystemThresholds)
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participant.system = system
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network = participant.network
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if network?
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# audio_bitrate: 256
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# net_bitrate: 286.19244384765625
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# ping: 0.08024691045284271
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# ping_var: 0.6403124332427979
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# pkt_loss: 100
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# wifi: false
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@classify(network, 'audiojq_median', NetworkThresholds)
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@classify(network, 'net_bitrate', NetworkThresholds)
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@classify(network, 'ping', NetworkThresholds)
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@classify(network, 'pkt_loss', NetworkThresholds)
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@classify(network, 'wifi', NetworkThresholds)
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audio = participant.audio
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if audio?
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# acpu: 5.148329734802246
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# audio_in: "Fast Track"
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# audio_in_type: "Core Audio"
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# cpu: 22.44668960571289
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# framesize: 2.5
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# in_latency: 5.020833492279053
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# input_iio_jitter: -0.0015926361083984375
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# input_jitter: 0.2977011799812317
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# input_median: 400.16632080078125
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# io_out_latency: "Expected Latency = 9.54 +/- 1.00 ms [Raw/PaBuff/PaRing Latency: 9.54 / 12.04 / 0.00 ms]"
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# out_latency: 4.520833492279053
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# output_iio_jitter: -0.07366180419921875
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# output_jitter: 0.40290364623069763
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# output_median: 400.0581970214844
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# output_name: 4
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# samplerate: 48000
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if audio.cpu?
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system = {cpu: audio.cpu}
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@classify(system, 'cpu', SystemThresholds)
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participant.system = system
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if audio.in_latency? and audio.out_latency?
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audio.latency = audio.in_latency + audio.out_latency
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@classify(audio, 'framesize', AudioThresholds)
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@classify(audio, 'latency', AudioThresholds)
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@classify(audio, 'input_jitter', AudioThresholds)
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@classify(audio, 'output_jitter', AudioThresholds)
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@classify(audio, 'audio_in_type', AudioThresholds)
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switch @participantClassification
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when 1 then participant.classification = 'good'
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when 2 then participant.classification = 'warn'
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when 3 then participant.classification = 'poor'
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else
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participant.classification = 'unknown'
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@stats[participant.id] = participant
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@trigger(@stats)
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}
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) |