def askQuestion_text(message, options, caseSensitive=True):
""" Gets a string from the user, which must be one of the options -- prints message
(this is called if askQuestion fails)
arguments:
message - string to print to prompt the user
options - list of options for the user to choose
caseSensitive - boolean, if True, response must match case
returns:
string response from the user (if caseSentitive is False, this will always be a lower case string)
"""
printDebug(
"In askQuestion_text, message={}; options={}; caseSensitive={}".format(
message, options, caseSensitive), sparki_learning.util.DEBUG_INFO)
if not caseSensitive: # if we're not caseSensitive, make the options lower case
working_options = [s.lower() for s in options]
else:
working_options = options
result = input(message)
if not caseSensitive:
result = result.lower()
while result not in working_options:
print("Your answer must be one of the following: " + str(options))
result = input(message)
if not caseSensitive:
result = result.lower()
return result
def yesorno(message):
""" Gets the string 'yes' or 'no' from the user -- prints message
arguments:
message - string to print to prompt the user
returns:
string response from the user
"""
printDebug("In yesorno", sparki_learning.util.DEBUG_INFO)
return askQuestion(message, ["yes", "no"], "Yes or No?")
def askQuestion(message, options, mytitle="Question"):
""" Gets input from the user -- prints message and displays buttons with options
arguments:
message - string to print to prompt the user
options - a list of strings which could be the response
mytitle - title for the window (defaults to Question)
returns:
string response from the user
"""
printDebug(
"In askQuestion, message={}; options={}; mytitle={}".format(
message, options, mytitle), sparki_learning.util.DEBUG_INFO)
radio_group = "options"
try:
radio = [[
sg.Radio(text, radio_group, key=text),
] for text in options]
layout = [[sg.Text(message)]] + radio + [[sg.OK(), sg.Cancel()]]
window = sg.Window(mytitle, layout)
while True: # Event Loop
event, values = window.Read()
if event in (None, "OK", "Cancel"):
break
printDebug(
"In askQuestion, event = {}; values = {}".format(event, values),
sparki_learning.util.DEBUG_DEBUG)
window.close()
result = False
for text in options:
if window[text].get():
result = text
except Exception as err:
printDebug(
"Error creating askQuestion window -- gui may not be available",
sparki_learning.util.DEBUG_ERROR)
printDebug(str(err), sparki_learning.util.DEBUG_DEBUG)
result = askQuestion_text(message, options, False)
return result
def pickAFolder(prompt="Choose a folder"):
""" Gets the path to a folder picked by the user
arguments:
prompt - optional string prompt to the user
returns:
string path to the folder
"""
printDebug("In pickAFolder", sparki_learning.util.DEBUG_INFO)
try:
result = sg.PopupGetFolder(prompt)
except Exception as err:
printDebug(
"Error creating pickAFolder window -- gui may not be available",
sparki_learning.util.DEBUG_ERROR)
printDebug(str(err), sparki_learning.util.DEBUG_DEBUG)
result = input("What is the path to the folder? ")
return result
def messageWindow(message, mytitle="Message"):
""" Pauses the program with a GUI message
arguments:
message - string to print to prompt the user
mytitle - title for the window (defaults to Message)
returns:
nothing
"""
printDebug(
"In messageWindow, message={}; mytitle={}".format(message, mytitle),
sparki_learning.util.DEBUG_INFO)
try:
sg.Popup(message, title=mytitle, keep_on_top=True)
except Exception as err:
printDebug("Error creating message window -- gui may not be available",
sparki_learning.util.DEBUG_ERROR)
printDebug(str(err), sparki_learning.util.DEBUG_DEBUG)
input(message + " (Press Enter to continue) ")
def ask(message, mytitle="Question"):
""" Gets input from the user -- prints message
arguments:
message - string to print to prompt the user
mytitle - title for the window (defaults to Question)
returns:
string response from the user
"""
printDebug("In ask, message={}; mytitle={}".format(message, mytitle),
sparki_learning.util.DEBUG_INFO)
try:
result = sg.PopupGetText(message, title=mytitle)
except Exception as err:
printDebug("Error creating ask window -- gui may not be available",
sparki_learning.util.DEBUG_ERROR)
printDebug(str(err), DEBUG_DEBUG)
result = input(message)
return result