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DAFD_GUI.py
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"""A graphical interface to DAFD that does not require website hosting"""
import warnings
warnings.simplefilter(action='ignore', category=FutureWarning)
from DAFD.helper_scripts.ModelHelper import ModelHelper
import tkinter
from PIL import ImageTk, Image
from tkinter import ttk
import tkinter.messagebox
from DAFD.bin.DAFD_Interface import DAFD_Interface
import pandas as pd
from DAFD.metrics_study.MetricHelper import MetricHelper
class DAFD_GUI:
"""A class that produces a windowed interface for DAFD"""
def __init__(self):
"""Initialize the GUI components"""
self.root = tkinter.Tk()
self.root.title("DAFD")
#Attach the interpolation model to the GUI
self.di = DAFD_Interface()
self.MH = ModelHelper.get_instance() # type: ModelHelper
# DAFD Logo
img = Image.open(self.MH.resource_path("DAFD_logo.png"))
img = ImageTk.PhotoImage(img.resize((int(0.05*img.size[0]), int(0.05*img.size[1])), Image.ANTIALIAS))
panel = tkinter.Label(self.root, image=img)
panel.pack(side="top", fill="both")
panel.configure(background="white")
self.root.configure(background="white")
# Pack all input constraint elements together
inputs_frame = tkinter.Frame(self.root)
inputs_frame.pack(side="top")
inputs_frame.configure(background="white")
inputs_header = tkinter.Label(inputs_frame)
inputs_header.pack(side="top")
inputs_header["text"] = "Constraints"
inputs_header.config(font=("Times", 20))
inputs_header.configure(background="white")
self.entries_dict = {}
self.tol_var = 0
for param_name in self.di.input_headers:
param_frame = tkinter.Frame(inputs_frame)
param_frame.pack(side="top")
param_frame.configure(background="white")
param_label = tkinter.Label(param_frame,width=40,anchor="e")
param_label.pack(side="left")
param_label["text"] = param_name + " (" + str(round(self.di.ranges_dict[param_name][0],2)) + "-" + str(round(self.di.ranges_dict[param_name][1],2)) + ") : "
param_label.configure(background="white")
param_entry = tkinter.Entry(param_frame)
param_entry.pack(side="left")
param_entry.configure(background="white")
self.entries_dict[param_name] = param_entry
regime_frame = tkinter.Frame(inputs_frame)
regime_frame.pack(side="top")
regime_frame.configure(background="white")
regime_label = tkinter.Label(regime_frame,width=40,anchor="e")
regime_label.pack(side="left")
regime_label["text"] = "regime (1-2) : "
regime_label.configure(background="white")
regime_entry = tkinter.Entry(regime_frame)
regime_entry.pack(side="left")
regime_entry.configure(background="white")
self.entries_dict["regime"] = regime_entry
# Pack the desired output elements together
outputs_frame = tkinter.Frame(self.root,pady=20)
outputs_frame.pack(side="top")
outputs_frame.configure(background="white")
outputs_header = tkinter.Label(outputs_frame)
outputs_header.pack(side="top")
outputs_header["text"] = "Desired Values"
outputs_header.config(font=("Times", 20))
outputs_header.configure(background="white")
for param_name in self.di.output_headers:
param_frame = tkinter.Frame(outputs_frame)
param_frame.pack(side="top")
param_frame.configure(background="white")
param_label = tkinter.Label(param_frame,width=40,anchor="e")
param_label.pack(side="left")
param_label["text"] = param_name + " (" + str(round(self.di.ranges_dict[param_name][0],2)) + "-" + str(round(self.di.ranges_dict[param_name][1],2)) + ") : "
param_label.configure(background="white")
param_entry = tkinter.Entry(param_frame)
param_entry.pack(side="left")
param_entry.configure(background="white")
self.entries_dict[param_name] = param_entry
# Pack Metrics Study Together
metrics_frame = tkinter.Frame(self.root, pady=20)
metrics_frame.pack(side="top")
metrics_frame.configure(background="white")
metrics_header = tkinter.Label(metrics_frame)
metrics_header.pack(side="top")
metrics_header["text"] = "Metrics Options"
metrics_header.config(font=("Times", 20))
metrics_header.configure(background="white")
metrics_opt_frame = tkinter.Frame(metrics_frame)
metrics_opt_frame.pack(side="top")
metrics_opt_frame.configure(background="white")
metrics_label = tkinter.Label(metrics_opt_frame,width=40,anchor="e")
metrics_label.pack(side="left")
metrics_label["text"] = "Perform Metrics Study? "
metrics_label.configure(background="white")
check_var_met = tkinter.IntVar(value=0)
metrics_entry = tkinter.Checkbutton(metrics_opt_frame, variable=check_var_met)
metrics_entry.pack(side="left")
metrics_entry.configure(background="white")
self.entries_dict["metrics_test"] = metrics_entry
# Top k options
metrics_opt_frame = tkinter.Frame(metrics_frame)
metrics_opt_frame.pack(side="top")
metrics_opt_frame.configure(background="white")
metrics_label = tkinter.Label(metrics_opt_frame,width=40,anchor="e")
metrics_label.pack(side="left")
metrics_label["text"] = "Number of candidates (1-5, default 3): "
metrics_label.configure(background="white")
metrics_entry = tkinter.Entry(metrics_opt_frame)
metrics_entry.pack(side="left")
metrics_entry.configure(background="white")
self.entries_dict["metrics_top_k"] = metrics_entry
# Sort by options
metrics_opt_frame = tkinter.Frame(metrics_frame)
metrics_opt_frame.pack(side="top")
metrics_opt_frame.configure(background="white")
metrics_label = tkinter.Label(metrics_opt_frame, width=40, anchor="e")
metrics_label.pack(side="left")
metrics_label["text"] = "Metric to sort by?"
metrics_label.configure(background="white")
options = [
"Flow stability",
"Overall versatility",
"Size versatility",
"Rate versatility",
"Dripping overall versatility",
"Dripping size versatility",
"Dripping rate versatility",
"Jetting overall versatility",
"Jetting size versatility",
"Jetting rate versatility"
]
clicked = tkinter.StringVar()
clicked.set("Flow stability")
metrics_entry = tkinter.OptionMenu(metrics_opt_frame, clicked, *options)
metrics_entry.pack(side="left")
metrics_entry.configure(background="white")
self.entries_dict["sort_by"] = clicked
# Pack Tolerance Study Together
tolerance_frame = tkinter.Frame(self.root, pady=20)
tolerance_frame.pack(side="top")
tolerance_frame.configure(background="white")
tolerance_header = tkinter.Label(tolerance_frame)
tolerance_header.pack(side="top")
tolerance_header["text"] = "Tolerance Options"
tolerance_header.config(font=("Times", 20))
tolerance_header.configure(background="white")
tol_frame = tkinter.Frame(tolerance_frame)
tol_frame.pack(side="top")
tol_frame.configure(background="white")
tol_label = tkinter.Label(tol_frame,width=40,anchor="e")
tol_label.pack(side="left")
tol_label["text"] = "Perform Tolerance Study? "
tol_label.configure(background="white")
check_var_tol = tkinter.IntVar(value=0)
tol_entry = tkinter.Checkbutton(tol_frame, variable=check_var_tol)
tol_entry.pack(side="left")
tol_entry.configure(background="white")
self.entries_dict["tolerance_test"] = tol_entry
tol_frame = tkinter.Frame(tolerance_frame)
tol_frame.pack(side="top")
tol_frame.configure(background="white")
tol_label = tkinter.Label(tol_frame,width=40,anchor="e")
tol_label.pack(side="left")
tol_label["text"] = "Tolerance (1-50, default 10) : "
tol_label.configure(background="white")
tol_entry = tkinter.Entry(tol_frame)
tol_entry.pack(side="left")
tol_entry.configure(background="white")
self.entries_dict["tolerance"] = tol_entry
# Pack the results together
results_frame = tkinter.Frame(self.root,pady=20)
results_frame.pack(side="top")
results_frame.configure(background="white")
submit_dafd_button = ttk.Button(results_frame, text='Run DAFD',command = self.runInterp)
submit_dafd_button.pack(side="top")
submit_fwd_button = ttk.Button(results_frame, text='Run Forward Model',command = self.runForward)
submit_fwd_button.pack(side="top")
self.results_label = tkinter.Label(results_frame)
self.results_label.pack(side="top")
self.results_label.configure(background="white")
# Start GUI
self.root.mainloop()
def runInterp(self):
"""Suggest design parameters based on given constraints and desired outputs"""
# Get all of our constraints
# It is quite possible to have no constraints if the user does not have a preference
constraints = {}
for param_name in self.di.input_headers:
param_entry = self.entries_dict[param_name].get()
if param_entry != "":
# The constraint can either be a single value or a range
if "-" in param_entry:
# If it is a range x to y, the range is x-y
pair = param_entry.split("-")
wanted_constraint = (float(pair[0]),float(pair[1]))
else:
# If it is a single value x, the range is x-x
wanted_constraint = (float(param_entry),float(param_entry))
# Make sure that our constraints are in range. Just creates a warning if not.
if wanted_constraint[0] <= self.di.ranges_dict[param_name][0]:
tkinter.messagebox.showwarning("Out of range constraint",param_name + " was too low.")
elif wanted_constraint[1] >= self.di.ranges_dict[param_name][1]:
tkinter.messagebox.showwarning("Out of range constraint",param_name + " was too high.")
constraints[param_name] = wanted_constraint
# Regime must be 1 or 2 (dripping or jetting regime)
regime_entry = self.entries_dict["regime"].get()
if regime_entry != "":
if regime_entry == "1" or regime_entry == "2":
constraints["regime"] = float(regime_entry)
else:
tkinter.messagebox.showwarning("Regime must be either 1 or 2. Ignoring.")
# Get the desired outputs
# Note one can be left blank, in which case the interpolation model will simply operate on the other value's model
desired_vals = {}
for param_name in self.di.output_headers:
param_entry = self.entries_dict[param_name].get()
if param_entry != "":
wanted_val = float(param_entry)
if wanted_val >= self.di.ranges_dict[param_name][0] and wanted_val <= self.di.ranges_dict[param_name][1]:
desired_vals[param_name] = wanted_val
else:
tkinter.messagebox.showwarning("Out of range desired value", param_name + " was out of range.")
desired_vals[param_name] = wanted_val
# Return and display the results
if bool(int(self.entries_dict["metrics_test"].getvar(name="PY_VAR0"))):
sort_by = self.entries_dict["sort_by"].get()
sort_by = str.lower(sort_by).replace(" ", "_")
if "versatility" in sort_by and "dripping" not in sort_by and "jetting" not in sort_by:
sort_by = "all_" + sort_by
top_k = self.entries_dict["metrics_top_k"].get()
if top_k == "":
top_k = 3
else:
top_k = int(top_k)
results = self.di.runInterpQM(desired_vals, constraints.copy(), top_k=top_k)
for i, result in enumerate(results):
MetHelper = MetricHelper(result, di=self.di)
MetHelper.run_all_flow_stability()
results[i]["flow_stability"] = MetHelper.point_flow_stability
MetHelper.run_all_versatility()
results[i].update(MetHelper.versatility_results)
results[i].update(self.di.runForward(result))
results_df = pd.DataFrame(results)
if sort_by is None:
sort_by = "flow_stability"
reg_str = "all"
if "versatility" in sort_by:
try:
if constraints["regime"] == 1:
reg_str = "dripping"
else:
reg_str = "jetting"
except:
reg_str = "all"
sort_by = reg_str + "_" + sort_by.split("_")[1] + "_" + "score"
results_df.sort_values(by=sort_by, ascending=False, inplace=True)
report_info = {
"regime": reg_str,
"results_df": results_df,
"sort_by": sort_by
}
MetHelper = MetricHelper(results_df.to_dict(orient="records")[0], di=self.di)
MetHelper.run_all_flow_stability()
report_info["feature_denormalized"] = MetHelper.features_denormalized
import datetime
rev_results = results_df.to_dict(orient="records")[0]
date = datetime.datetime.today().isoformat()[:16]
size = int(rev_results["droplet_size"])
rate = int(rev_results["generation_rate"])
filepath = f"{date}_{size}um_{rate}Hz.csv"
filepath = filepath.replace(":", "_")
results_df.to_csv(filepath)
MetHelper.generate_report(report_info)
out_features = rev_results
else:
results = self.di.runInterp(desired_vals, constraints)
out_features = results
# Run Tolerance Test if Specified
if bool(int(self.entries_dict["tolerance_test"].getvar(name="PY_VAR2"))):
from DAFD.tolerance_study.TolHelper import TolHelper
tolerance = self.entries_dict["tolerance"].get()
if tolerance == "":
tolerance = 10
if type(results) is list:
tol_features = results[0].copy()
else:
tol_features = results.copy()
del tol_features["point_source"]
TH = TolHelper(tol_features, di=self.di, tolerance=float(tolerance))
TH.run_all()
TH.plot_all()
TH.generate_report()
out_features = tol_features
print(self.di.runForward(out_features))
self.results_label["text"] = "\n".join([x + " : " + str(out_features[x]) for x in self.di.input_headers])
def runForward(self):
"""Predict the outputs based on the chip geometry (Normal feed-forward network) """
# Get all the chip geometry values
features = {x: float(self.entries_dict[x].get()) for x in self.di.input_headers}
results = self.di.runForward(features)
self.results_label["text"] = "\n".join([x + " : " + str(results[x]) for x in results])
if bool(int(self.entries_dict["metrics_test"].getvar(name="PY_VAR0"))):
metric_results = features.copy()
metric_results.update(results)
if metric_results["regime"] == 1:
reg_str = "Dripping"
else:
reg_str = "Jetting"
MetHelper = MetricHelper(metric_results, di=self.di)
MetHelper.run_all_flow_stability()
MetHelper.run_all_versatility()
metric_results.update(MetHelper.versatility_results)
metric_results.update({"flow_stability": MetHelper.point_flow_stability})
report_info = {
"regime": reg_str,
"results_df": pd.DataFrame([metric_results]),
"sort_by": "flow_stability"
}
report_info["feature_denormalized"] = MetHelper.features_denormalized
MetHelper.generate_report(report_info)
# Run Tolerance Test if Specified
if bool(int(self.entries_dict["tolerance_test"].getvar(name="PY_VAR2"))):
from DAFD.tolerance_study.TolHelper import TolHelper
tolerance = self.entries_dict["tolerance"].get()
if tolerance == "":
tolerance = 10
TH = TolHelper(features, di=self.di, tolerance=float(tolerance))
TH.run_all()
TH.plot_all()
TH.generate_report()
#Executed when script is called from console
DAFD_GUI()