/
rendertimes.py
139 lines (120 loc) · 5.18 KB
/
rendertimes.py
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# Run from utils directory
import json, pdb
import plotly.plotly as py
import plotly.graph_objs as go
# import numpy as np
import pdb
PATH_TO_DATA = ["data/electro_output.txt", "data/rock_output.txt", "data/hiphop_output.txt"]
sum_arrangements = False
def avg(li):
return sum(li) / float(len(li))
def loadData(path):
data = []
for p in path:
with open(p, "r") as infile:
data = data + json.load(infile)
return data
def splitDataByArrangement(rawData):
# Returns a dictionary of arrays:
# data = {arr1: [render1, render2...], arr2: [render1, render2...], ...}
data = {}
for project in rawData:
# Create entry if it does not exist
if project['arr'] not in data:
data[project['arr']] = []
dataToAdd = {
'totalTime': float(project['totalTime']),
'loopLength': float(project['loopLength']),
'vsts': float(project['vsts']),
'hum': project['hum'],
'genre': project['genre'],
'init_time': float(project['Benchmarks']['Breakdown']['Initialization']),
'audio_time': float(project['Benchmarks']['Breakdown']['Audio Processing']),
'other_time': float(project['Benchmarks']['Total processing time in s'])
- float(project['Benchmarks']['Breakdown']['Initialization'])
- float(project['Benchmarks']['Breakdown']['Audio Processing']),
'non_time' : float(project['totalTime']) - float(project['Benchmarks']['Total processing time in s'])
}
data[project['arr']].append(dataToAdd)
return data
def averageArrangmentData(data):
# data = {arr1: [render1, render2...], arr2: [render1, render2...], ...}
# Adds together parameters of each rendering
# return avgData = {arr1: {'totalTime': 8, 'vsts': 20 ...}, arr2: {'totalTime':20, 'vsts': 15 ...}, ...}
avgData = {}
for arr in data:
avgData[arr] = { 'genre': data[arr][0]['genre'] }
avgData[arr]['totalTime'] = avg( [d['totalTime'] for d in data[arr]] )
avgData[arr]['loopLength'] = avg( [d['loopLength'] for d in data[arr]] )
avgData[arr]['vsts'] = avg( [d['vsts'] for d in data[arr]] )
avgData[arr]['init_time'] = avg( [d['init_time'] for d in data[arr]])
avgData[arr]['audio_time'] = avg( [d['audio_time'] for d in data[arr]])
avgData[arr]['other_time'] = avg( [d['other_time'] for d in data[arr]])
avgData[arr]['non_time'] = avg( [d['non_time'] for d in data[arr]])
return avgData
def createTracesForRaw(data, xvariable, yvariable):
graphData = []
for arr in data:
trace = go.Scatter(
x = [d[xvariable] for d in data[arr]],
y = [d[yvariable] for d in data[arr]],
mode = 'markers',
name = arr,
text = [
"Hum:\t"+d['hum']
+"<br>Length:\t"+str(round(float(d['loopLength'])/44100,2))
+"<br>Render time:\t"+str(d['totalTime'])
+"s<br>Num VSTs:\t"+str(d['vsts'])
for d in data[arr]]
)
graphData.append(trace)
return graphData
def createTraceForAvg(data, xvariable, yvariable, byGenre=False, name=None):
if not byGenre:
trace = go.Scatter(
x = [d[xvariable] for d in data.values()],
y = [d[yvariable] for d in data.values()],
mode = 'markers',
name = name,
text = [
"Arrangement:\t"+ n
+"<br>AVG Length:\t"+str(round(d['loopLength']/44100,2))
+"<br>AVG Render time:\t"+str(round(d['totalTime'],2))
+"s<br>AVG Num VSTs:\t"+str(d['vsts']) for (n,d) in zip(data,data.values())]
)
return [trace]
genres = ['electro','rock','hiphop']
graphData = []
for genre in genres:
trace = go.Scatter(
x = [d[xvariable] for d in data.values() if d['genre'] == genre],
y = [d[yvariable] for d in data.values() if d['genre'] == genre],
mode = 'markers',
name = genre,
text = [d for d in data if data[d]['genre'] == genre]
)
graphData.append(trace)
return graphData
def main():
rawData = loadData(PATH_TO_DATA)
rawData = splitDataByArrangement(rawData)
avgData = averageArrangmentData(rawData)
# graphData = createTracesForRaw(rawData, 'loopLength','audio_time')
graphData = createTraceForAvg(avgData, 'audio_time', 'totalTime', name="audio")
graphData += createTraceForAvg(avgData, 'init_time', 'totalTime', name="init")
graphData += createTraceForAvg(avgData, 'other_time', 'totalTime', name="other")
graphData += createTraceForAvg(avgData, 'non_time', 'totalTime', name="non")
layout = go.Layout(
title='Total Rendering Time vs Audio/Initialization Time',
hovermode='closest',
xaxis=dict(
title='Time Spent on Stage (s)'
),
yaxis=dict(
title='Total Rendering Time (s)'
),
)
py.sign_in("MysteryDate", "a6fd7sm5jr")
fig = go.Figure(data=graphData, layout=layout)
plot_url = py.plot(fig, filename="Sources of Rendering Time")
main()