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jsb-to-png.py
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#!/usr/bin/env python3
#
# Function: JSBSim tables to PNG outputs
# Author: Nikolai V. Chr.
#
# License: GPL 2.0
#
# See more info in the readme and license files
#
import xml.dom.minidom
import plotly.express as px
import plotly.graph_objects as go
import numpy as np
import os
import sys
#import re
version = "1.09"
# default filename
filename="jsb-test.xml"
# default PNG output image size
image_width = 1280
image_height = 720
print("Starting JSBSim to PNG program, version "+version)
if len(sys.argv) > 1:
filename = str(sys.argv[1])
file=os.path.splitext(filename)[0]
print ("Parsing "+filename)
doc=xml.dom.minidom.parse (filename)
if not os.path.exists(os.getcwd()+os.sep+file):
print("Making folder " + os.getcwd() + os.sep + file)
os.mkdir(os.getcwd()+os.sep+file)
else:
print("Output to folder " + os.getcwd() + os.sep + file + " (will overwrite PNG images if exist)")
tables=doc.getElementsByTagName("table")
def runner(line):
numbs = line.strip().split()
if len(numbs) < 2:
return []
return list(map(float, numbs))
print("Generating the ("+str(image_width)+"x"+str(image_height)+") PNG images..")
tablecount = 0
ignorecount = 0
ignored = []
current = 0
for table in tables:
current += 1
name = table.getAttribute("name")
if not name:
ignorecount += 1
ignored.append(current)
continue
name = name.replace('/','-')
vars = table.getElementsByTagName("independentVar")
if len(vars) == 1:
var = vars[0].firstChild.data
rawData = table.getElementsByTagName("tableData")[0]
rawData = " ".join(t.nodeValue for t in rawData.childNodes if t.nodeType == t.TEXT_NODE)
#rawData = re.sub("(<!--.*?-->)", "", rawData, flags=re.DOTALL)
lines = rawData.split('\n')
dx = []
dy = []
mapp = map(runner, lines)
lineList = list(mapp)
for xy in lineList:
if len(xy) == 2:
dx.append(xy[0])
dy.append(xy[1])
data = {var: dx, name: dy}
fig = px.line(data, x=var, y=name)#, color=''
tablecount += 1
fig.write_image(file+os.sep+name+".png", format='png', width=image_width, height=image_height, scale=1)
elif len(vars) == 2:
row = ''
column = ''
if vars[0].getAttribute('lookup') == "row":
row = vars[0].firstChild.data
column = vars[1].firstChild.data
elif vars[0].getAttribute('lookup') == "column":
row = vars[1].firstChild.data
column = vars[0].firstChild.data
else:
ignorecount += 1
continue
rawData = table.getElementsByTagName("tableData")[0]
rawData = " ".join(t.nodeValue for t in rawData.childNodes if t.nodeType == t.TEXT_NODE)
lines = rawData.split('\n')
dx = []
dy = None
dz = []
mapp = map(runner, lines)
lineList = list(mapp)
for xyz in lineList:
if len(xyz) < 2:
continue
if not dy:
dy = xyz
else:
dx.append(xyz[0])
dz.append(np.array(xyz[1:]))
dz = np.array(dz)
fig = go.Figure(go.Carpet(
a=dy,
b=dx,
y=dz,
aaxis=dict(
title=column,
color = 'blue',
linecolor='blue',
gridcolor='lightblue'
),
baxis=dict(
title=row,
gridcolor='lightgreen'
)
), layout=dict(yaxis=dict(title=name)))
fig.write_image(file+os.sep + name + ".carpet.png", format='png', width=image_width, height=image_height, scale=1)
fig2 = go.Figure()
for num in range(len(dy)):
data = dz[0:,num]
fig2.add_trace(go.Scatter(x=dx, y=data, name=str(dy[num]), mode='lines'))
fig2.update_layout(
#title="Color code from "+column,
yaxis=dict(title=name),
xaxis=dict(title=row),
legend_title=dict(text=column)
)
fig2.write_image(file+os.sep + name + ".png", format='png', width=image_width, height=image_height, scale=1)
tablecount += 1
elif len(vars) == 3:
row = ''
column = ''
breakpoint=''
if vars[0].getAttribute('lookup') == "row":
if vars[1].getAttribute('lookup') == "column":
row = vars[0].firstChild.data
column = vars[1].firstChild.data
breakpoint = vars[2].firstChild.data
elif vars[1].getAttribute('lookup') == "table":
row = vars[0].firstChild.data
column = vars[2].firstChild.data
breakpoint = vars[1].firstChild.data
else:
ignorecount += 1
continue
elif vars[0].getAttribute('lookup') == "column":
if vars[1].getAttribute('lookup') == "row":
row = vars[1].firstChild.data
column = vars[0].firstChild.data
breakpoint = vars[2].firstChild.data
elif vars[1].getAttribute('lookup') == "table":
row = vars[2].firstChild.data
column = vars[0].firstChild.data
breakpoint = vars[1].firstChild.data
else:
ignorecount += 1
continue
elif vars[0].getAttribute('lookup') == "table":
if vars[1].getAttribute('lookup') == "row":
row = vars[1].firstChild.data
column = vars[2].firstChild.data
breakpoint = vars[0].firstChild.data
elif vars[1].getAttribute('lookup') == "column":
row = vars[2].firstChild.data
column = vars[1].firstChild.data
breakpoint = vars[0].firstChild.data
else:
ignorecount += 1
continue
else:
ignorecount += 1
continue
for breakTable in table.getElementsByTagName("tableData"):
rawData = " ".join(t.nodeValue for t in breakTable.childNodes if t.nodeType == t.TEXT_NODE)
breakValue = breakTable.getAttribute("breakPoint")
lines = rawData.split('\n')
dx = []
dy = None
dz = []
mapp = map(runner, lines)
lineList = list(mapp)
for xyz in lineList:
if len(xyz) < 2:
continue
if not dy:
dy = xyz
else:
dx.append(xyz[0])
dz.append(np.array(xyz[1:]))
dz = np.array(dz)
fig = go.Figure(go.Carpet(
a=dy,
b=dx,
y=dz,
aaxis=dict(
title=column,
color = 'blue',
linecolor = 'blue',
#tickprefix=column + ':',
#ticksuffix='m',
#smoothing=1,
#minorgridcount=9,
#minorgridwidth=0.6,
#minorgridcolor='white',
gridcolor='lightblue'
#color='white'
),
baxis=dict(
title=row,
gridcolor='lightgreen'
#tickprefix=row + ':',
#ticksuffix='Pa',
#smoothing=1,
#minorgridcount=9,
#minorgridwidth=0.6,
#gridcolor='white',
#minorgridcolor='white',
#color='white'
)
), layout=dict(title=" "+breakpoint+" breakPoint="+str(breakValue),
yaxis = dict(title=name),))
fig.write_image(file+os.sep + name +str(breakValue)+ ".carpet.png", format='png', width=image_width, height=image_height, scale=1)
fig2 = go.Figure()
for num in range(len(dy)):
data = dz[0:,num]
fig2.add_trace(go.Scatter(x=dx, y=data, name=str(dy[num]), mode='lines'))
fig2.update_layout(
title="Breakpoint "+breakpoint+"="+str(breakValue),#+", Color code from "+column,
yaxis=dict(title=name),
xaxis=dict(title=row),
legend_title=dict(text=column)#,
# font=dict(family="sans-serif",
# size=18,
# color='blue')
)
fig2.write_image(file+ os.sep + name +str(breakValue)+ ".png", format='png', width=image_width, height=image_height, scale=1)
tablecount += 1
print("Finished. Successfully processed "+str(tablecount)+" tables.")
if ignorecount > 0:
print("Ignored "+str(ignorecount)+" table(s) (see readme on how to avoid tables being ignored).")
print("Ignored table(s) number: ", ignored)