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hotwire_gui.py
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hotwire_gui.py
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import os
import platform
import shutil
from tkinter import *
from PIL import ImageTk,Image
from tkinter import filedialog, Text
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg, NavigationToolbar2Tk
import matplotlib.backends.backend_tkagg as tkagg
from matplotlib import cm
import src.functional_hotwire as functional_hotwire
import src.robo_coder as robo_coder
class OutputData:
def __init__():
pass
def set_output(shiny_output):
pass
shiny_output = None
b2 = None
savename = None
e1 = None
e2 = None
e3 = None
outname = None
outname2 = None
root = Tk()
root.geometry("700x750")
root.resizable(width=False, height=False)
root.title("Hotwire")
###########Paramteters##########
boolvar = False
bpath = "./src/packs/clarky.csv"#"nothing selected yet"
spath = "./src/packs/n0012.csv"#"nothing selected yet"
img = Image.open("./src/packs/foldericon.png")
img = img.resize((20, 20), Image.ANTIALIAS)
image = ImageTk.PhotoImage(img)
###########Functions
def addPath(label, x, framename):
y = 20
filename = filedialog.askopenfilename(initialdir="./Source_Profiles/", title="Select File", filetypes=(("executables","*.csv"), ("all files", "*.*")))
label.config(text=str(filename))
graph(x, y, filename, framename)
def graph(x, y, filename, framename):
if platform.system() == 'Windows':
filename = filename.replace("/", "\\")
print("filename is {}".format(filename))
x_data, y_data = functional_hotwire.data_refiner(filename)
figure = plt.figure(figsize = (3.3,1.25), dpi=100)
ax = figure.add_subplot(111)
ax.plot(x_data, y_data)
ax.set_yticklabels([])
ax.set_xticklabels([])
plt.axis('equal')
chart = FigureCanvasTkAgg(figure, framename)
plt.grid('on')
#plt.axis('off')
chart.get_tk_widget().place(x=x+10, y=y)
def ddd_graph(ddd_plot, x):
fig = plt.figure(figsize=(1, 1), dpi=100)
chart = FigureCanvasTkAgg(fig, root)
chart.draw()
plt.axis('off')
ax = fig.add_subplot(111, projection="3d")
if ddd_plot is not None:
wingspan = ddd_plot[2][0]
l_profile_len = ddd_plot[2][1]
ax.plot_trisurf(ddd_plot[0][0], ddd_plot[0][1], ddd_plot[0][2], linewidth=0.5, antialiased=True, shade=True, cmap=cm.coolwarm)
ax.plot_trisurf(ddd_plot[1][0], ddd_plot[1][1], ddd_plot[1][2], linewidth=0.5, antialiased=True, shade=True, cmap=cm.coolwarm)
ax.set_xlim3d(-10, -l_profile_len)
ax.set_ylim3d(-10, l_profile_len)
ax.set_zlim3d(-l_profile_len/2, l_profile_len/2)
toolbar = NavigationToolbar2Tk(chart, root)
toolbar.update()
chart.get_tk_widget().place(x=x, y=500, width=250, height=250)
def movgraph(x, y, plot):
twodlineobj = plot
figure = twodlineobj.get_figure()
plt.figure(figsize = (3,2), dpi=100)
ax = figure.add_subplot(111)
pot_ylim = (ax.get_xlim()[0],ax.get_xlim()[1]*0.5)
new_ylim = [ax.get_ylim()[0], ax.get_ylim()[1]]
if abs(pot_ylim[0]) > abs(ax.get_ylim()[0]):
new_ylim[0] = pot_ylim[0]
if abs(pot_ylim[1]) > abs(ax.get_ylim()[1]):
new_ylim[1] = pot_ylim[1]
ax.set_ylim( (new_ylim[0],new_ylim[1]) )
plt.axes().set_aspect('equal', 'datalim')
chart = FigureCanvasTkAgg(figure, root)
plt.grid('on')
plt.axis('scaled')
chart.get_tk_widget().place(x=200, y=176, width=550, height=324)
toolbar = NavigationToolbar2Tk(chart, root)
toolbar.update()
toolbar.place(x=200, y=176, width=500, height=35)
def run_segmenter(bd, sd, entryz, chkValue):
plt.cla()
plt.clf()
bd = bd.cget("text")
sd = sd.cget("text")
p = []
for item in entryz:
p.append(float(item.get()))
print("checkbox state is: {}".format(chkValue.get()))
if chkValue.get() == 0:
bol = False
else: bol = True
p.append(bol)
print("\n\nbd is {} \nsd is {} \np is {}".format(bd, sd, p))
post_seg_plot, ddd_plots, shiny_output = functional_hotwire.hotwire(bd, sd, p[0], p[1], p[2], p[3], p[4], p[5], p[6], p[7], p[8], p[9], p[10])
movgraph(176,250, post_seg_plot)
ddd_graph(ddd_plots[0], 200)
if len(ddd_plots) == 2:
print("ddd_plots is len 2")
ddd_graph(ddd_plots[1], 450)
else:
print("ddd_plots is len {}".format(len(ddd_plots)))
ddd_graph(None, 450)
OutputData.b2['state'] = 'normal'
OutputData.b3['state'] = 'disabled'
OutputData.shiny_output = shiny_output
def save_CSV():
savename = OutputData.savename.get()
shiny_output = OutputData.shiny_output
if os.path.exists("./Output_Files/" + savename):
shutil.rmtree("./Output_Files/" + savename)
os.mkdir("./Output_Files/" + savename)
else:
print("\n\n triged else")
print(savename)
os.mkdir("./Output_Files/" + savename)
if len(shiny_output) == 2:
OutputData.outname = "./Output_Files/" + savename + "/" + savename + "_r"+".csv"
OutputData.outname2 = "./Output_Files/" + savename + "/" + savename + "_l"+".csv"
np.savetxt(OutputData.outname, shiny_output[0], delimiter=";", fmt="%s")
np.savetxt(OutputData.outname2, shiny_output[1], delimiter=";", fmt="%s")
print("\nSaved successfully to file named {}, \n and {}!".format(OutputData.outname, OutputData.outname2))
else:
OutputData.outname = "./Output_Files/" + savename + "/" + savename + ".csv"
np.savetxt(OutputData.outname, shiny_output[0], delimiter=";", fmt="%s")
print("\nSaved successfully to file named {}!".format("{}".format(OutputData.outname)))
OutputData.b3['state'] = 'normal'
def gen_robocode():
x = float(OutputData.e1.get()) / 1000
y = float(OutputData.e2.get()) / 1000
z = float(OutputData.e3.get()) / 1000
zerovector = np.array( [x, y, z] )
if OutputData.outname == None:
raise Exception("ERROR with output file name1")
else:
robo_coder.PostProcess(OutputData.outname, zerovector, filename=OutputData.outname[0:-4] + ".SRC")
if OutputData.outname2 != None:
robo_coder.PostProcess(OutputData.outname2, zerovector, filename=OutputData.outname2[0:-4] + ".SRC")
##########Load Dat###############
load_dat_frame = Label(root, width=700, height=250, borderwidth=1, relief="ridge")
load_dat_frame.pack(fill=X, side=TOP, expand=False, padx=0, pady=0)
can = Canvas(load_dat_frame, width=700, height=176, bg="#bfbfbf")
can.place(x=0, y=0)
#File selector
sdat_frame = LabelFrame(load_dat_frame, text="Source File: Small Data").place(x=0, y=0, width=350, height=178)
smalllab = Label(load_dat_frame, text=spath, borderwidth=3, relief="ridge", anchor=E)
openFile = Button(load_dat_frame, text="", image=image, padx=2, pady=2, command=lambda: addPath(smalllab, 0, sdat_frame))
smalllab.place(x=2, y=150, width=320, height=25)
openFile.place(x=322, y=150, width=25, height=25)
bdat_frame = LabelFrame(load_dat_frame, text="Source File: Big Data").place(x=350, y=00, width=350, height=178)
biglab = Label(load_dat_frame, text=bpath, borderwidth=3, relief="ridge", anchor=E)
openFile = Button(load_dat_frame, text="", image=image, padx=2, pady=2, command=lambda: addPath(biglab, 350, bdat_frame))
biglab.place(x=352, y=150, width=320, height=25)
openFile.place(x=672, y=150, width=25, height=25)
##########Body###################
###Segmenting Paramters
can = Canvas(root, width=700, height=574, bg="#bfbfbf")
can.place(x=0, y=176)
parameters = LabelFrame(root, text="Segmenting Paramters", padx=5, pady=5)
parameters.place(x=0, y=176+74, width=200, height=280)
chkValue = IntVar()
labelz = [Label(parameters, text="wingspan", anchor=W),
Label(parameters, text="sweep", anchor=W),
Label(parameters, text="dihedral", anchor=W),
Label(parameters, text="twist", anchor=W),
Label(parameters, text="tooldiameter", anchor=W),
Label(parameters, text="dihedral angle [°]", anchor=W),
Label(parameters, text="small profile len", anchor=W),
Label(parameters, text="large profile len", anchor=W),
Label(parameters, text="nmb of segments", anchor=W),
Label(parameters, text="retract path len", anchor=W),
Label(parameters, text="mirror", anchor=W)]
entryz = [Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Entry(parameters, width=35, borderwidth=2),
Checkbutton(parameters, width=10, text="", var=chkValue)]
for labl, e in zip(labelz, entryz):
i = labelz.index(labl)
labl.config(font=('Arial', 11))
e.config(width=10)
labl.grid(sticky=W, row=i, column=0)
e.grid(sticky=W, row=i, column=1, padx=0)
for e, default in zip(entryz[0:-1], [230, 0, 0, 0, 1, 0, 100, 300, 250, 50]):
e.insert(0, default)
####Control Panel
controlpanel = LabelFrame(root, text="Control Panel", padx=5, pady=5)
controlpanel.place(x=0, y=456+74, width=200, height=220)
b1 = Button(controlpanel, text="Run Segmenter", width=25, command=lambda: run_segmenter(biglab, smalllab, entryz[0:-1], chkValue))
b1.grid(row=0, column=0, columnspan=3)
l1 = Label(controlpanel, text="")
l1.grid(row=1, column=0)
l2 = Label(controlpanel, text="Output Folder Name:", anchor=W)
l2.grid(sticky=W, row=2, column=0, columnspan=3)
OutputData.savename = Entry(controlpanel, width=30, borderwidth=2)
OutputData.savename.insert(0, "default")
OutputData.savename.grid(row=3, column=0, columnspan=3)
OutputData.b2 = Button(controlpanel, text="Save CSV", width=25, state="disabled", command=save_CSV)
OutputData.b2.grid(row=4, column=0, columnspan=3)
l1.grid(row=5, column=0)
l3 = Label(controlpanel, text="Set TCP XYZ Zero in mm:", anchor=W)
l3.grid(sticky=W, row=6, column=0, columnspan=3)
OutputData.e1 = Entry(controlpanel, width=7, borderwidth=2)
OutputData.e1.grid(sticky=W, row=7, column=0)
OutputData.e2 = Entry(controlpanel, width=7, borderwidth=2)
OutputData.e2.grid(sticky=W, row=7, column=1)
OutputData.e3 = Entry(controlpanel, width=7, borderwidth=2)
OutputData.e3.grid(sticky=W, row=7, column=2)
OutputData.b3 = Button(controlpanel, text="Generate RoboCode", width=25, command=gen_robocode, state="disabled")
OutputData.b3.grid(row=8, column=0, columnspan=3)
img = Image.open("./src/packs/hotwire.png")
perc = 0.71
img = img.resize((int(285*perc), int(78*perc)), Image.ANTIALIAS)
my_img = ImageTk.PhotoImage(img)
my_label = Label(root, image=my_img, borderwidth=0)
my_label.place(x=1, y=685-500)#, height=150, width=150)
#init
graph(0, 20, "./src/packs/n0012.csv", sdat_frame)
graph(350, 20, "./src/packs/clarky.csv", bdat_frame)
root.mainloop()
root.destroy()