def POST(self, worker_id, game_number):
# First make sure the user hasn't already customized
game_id = model.get_game_id(worker_id, game_number)
print "checking current game status"
check = model.check_current_game_status(worker_id, game_id)
if check:
raise web.seeother('/error/5?worker_id=' + worker_id)
post_data = web.input()
selections = post_data.selections
## Put the selections into a dict
temp = selections.split(',')
data = {}
i = 1
while i < 6:
try:
data[i] = temp[i-1]
except IndexError:
data[i] = "NULL"
i += 1
condition = model.get_condition(worker_id)
game_data = model.get_game_data(game_id)
#game_number = model.get_games_played(worker_id) + 1
game_number = int(game_number)
prediction_quality = model.get_prediction_quality(worker_id, game_id)
model.update_prediction_start_custom(worker_id, data, prediction_quality)
raise web.seeother("/view_prediction/" + worker_id + "/" + str(game_number))
def GET(self, worker_id):
condition = model.get_condition(worker_id)
if condition > 1:
raise web.seeother('/error/3')
survey_questions = {
"helpful": {"question": "How helpful was the simulator?", "low": "Not at all helpful", "high": "Very helpful"},
"accurate": {"question": "How accurate do you think the simulator was at predicting the outcome of games?", "low": "Not at all accurate", "high": "Very accurate"},
"important": {"question": "How important were the simulator's predictions in informing your predictions?" , "low": "Not at all important", "high": "Very important"},
"control": {"question": "I was able to control the accuracy of the simulator" , "low": "Strongly Disagree", "high": "Strongly Agree"},
}
customize_questions = {
"information": {"question": "The information I provided to the simulator was helpful." , "low": "Strongly Disagree", "high": "Strongly Agree"},
"effort": {"question": "How much effort was required to customize the simulator?", "low": "No effort", "high": "A very high level of effort"}
}
elm_question = {
"prompt": "When performing this task, I was...",
"elm_a": "... extending a good deal of cognitive effort",
"elm_b": "... resting my mind",
"elm_c": "... doing my best to think about making the best prediction",
"low": "Strongly Disagree",
"high": "Strongly Agree"
}
return render_main.survey(worker_id, survey_questions, customize_questions, elm_question, condition)
def GET(self, worker_id, game_number):
#var_names_batting = {"ba": "Batting Average", "runs": "Runs", "H":"Hits", "2B":"2B", "3B":"3B", "HR":"Home Runs", "OBP":"On-Base Percentage", "SLG":"Slugging Percentage", "BB":"Walks", "SB":"Stolen Bases", "RBI":"Runs Batted In"}
#var_names_team_pitching = {"ERAp": "Earned Run Average", "BBp":"Walks", "SOp":"Strikeouts", "HRp":"Home Runs"}
#var_names_starter_pitching = {"Wsp":"Wins", "Lsp":"Losses", "ERAsp":"Earned Run Average", "Hsp": "Hits", "SOsp":"Strikeouts", "HRsp":"Home Runs", "IPsp":"Innings Pitched"}
#worker_id = web.input(worker_id='').worker_id
condition = model.get_condition(worker_id)
if condition > 1:
# If a condition isn't returned, redirect to an error page
raise web.seeother('/error/3')
# Returns an int with the id number of the next game, or None if 12 games have been played
#game_number = model.get_games_played(worker_id) + 1
game_number = int(game_number)
game_id = model.get_game_id(worker_id, game_number)
if not game_id:
raise web.seeother('/survey/' + worker_id)
game_data = model.get_game_data(game_id)
# First, check to see if there is an existing prediction entry for this user with this game
check1 = model.check_for_existing_prediction_record(worker_id, game_id)
if check1 != 0:
check2 = model.check_current_game_status(worker_id, game_id)
if not check2:
if condition == 1:
raise web.seeother('/customize_simulator/' + worker_id + "/" + str(game_number))
else:
print "check2 caught"
return render_game.game_overview(worker_id, condition, game_data, var_names_batting, var_names_team_pitching, var_names_starter_pitching, game_number)
else:
raise web.seeother('/view_prediction/' + worker_id + "/" + str(game_number))
## If all games have been played, redirect to the survey
#if not game_id:
# model.update_stage(worker_id)
# raise web.seeother('/survey/' + worker_id)
#
##Figure out if this game has already begun, and if so, redirect to the correct point in the game
#status_check = model.get_current_game_status(worker_id, game_id)
#if status_check == 2:
# raise web.seeother("/view_prediction/" + worker_id)
## create an entry in the predictions table for this game and this user
#if status_check == 0:
# model.create_prediction_entry(worker_id, game_id)
model.create_prediction_entry(worker_id, game_id)
if condition == 1:
raise web.seeother('/customize_simulator/' + worker_id + "/" + str(game_number))
else:
return render_game.game_overview(worker_id, condition, game_data, var_names_batting, var_names_team_pitching, var_names_starter_pitching, game_number)
def GET(self, worker_id, game_number):
condition = model.get_condition(worker_id)
if condition > 1:
raise web.seeother('/error/3')
#game_number = model.get_games_played(worker_id) + 1
game_number = int(game_number)
game_id = model.get_game_id(worker_id, game_number)
game_data = model.get_game_data(game_id)
prediction_quality = model.get_prediction_quality(worker_id, game_id)
if condition == 0:
model.update_prediction_start_fixed(worker_id, prediction_quality)
return render_game.predictions(worker_id, condition, game_data, var_names_batting, var_names_team_pitching, var_names_starter_pitching, prediction_quality, game_number)
def GET(self, worker_id):
#worker_id = web.input(worker_id='').worker_id
# figure out which condition the user has been assigned to
condition = model.get_condition(worker_id)
if condition > 1:
# If a condition isn't returned, redirect to an error page
raise web.seeother('/error/3')
model.update_instructions_views(worker_id)
return render_main.instructions(worker_id, condition)
def GET(self):
worker_id = web.input(worker_id='').worker_id
condition = model.get_condition(worker_id)
model.update_quiz_tries(worker_id)
# Prevent question 7 from being available to non-customizable users
if condition == 1:
max_question_number = 8
elif condition > 1:
raise web.seeother('/error/3')
else:
max_question_number = 6
questions_to_display = random.sample(range(1,max_question_number+1), 3)
questions = {
1: {
"question": "How many games will you make predictions for?",
"a" : "6",
"b" : "8",
"c" : "10",
"d" : "12"
},
2: {
"question": "How many points do the simulator's predictions score on average?",
"a" : "10",
"b" : "21",
"c" : "15",
"d" : "17"
},
3:
{
"question": "If you wager 5 confidence points, and you earn 16 points from your prediction, how many additional points do you earn?",
"a" : "15",
"b" : "0",
"c" : "5",
"d" : "10"
},
4:
{
"question": "If you predict Away: 7 | Home: 2 and the final score is Away: 5 | Home: 6, how many points do you earn for your prediction?",
"a" : "0",
"b" : "10",
"c" : "4",
"d" : "9"
},
5:
{
"question": "The statistics about the teams are ...",
"a" : "... totals from the last 5 games.",
"b" : "... totals and averages from the current season up to the day of the game.",
"c" : "... totals from the past 5 seasons.",
"d" : "... averages for the past 5 seasons."
},
6:
{
"question": "Which of the following statements is FALSE?",
"a" : "You will be shown statistical information about each of the teams prior to making your predictions.",
"b" : "You will not be shown the names of the teams",
"c" : "You will be shown your scores for the game within 1 week through a bonus payment made to your MTurk account",
"d" : "The simulator's prediction always scores exactly 15 points"
},
7:
{
"question": "Which of the following statements is TRUE?",
"a": "You will NOT have the opportunity to customize the simulator's algorithm",
"b": "You can select six statistical comparisons for the simulator to focus on",
"c": "The simulator's performance can be improved by customizing it to give more weight to more important categories",
"d": "By default, the simulator treats winning percentage as the most important statistical comparison between the teams"
},
8:
{
"question": "Which of the following statements is FALSE?",
"a": "By default, the simulator treats all statistical comparisons between the teams equally",
"b": "A statistical category that you have selected to customize the simulator is given more weight in the simulation than one that you have not chosen",
"c": "A statistical category that you have placed at #1 in your list is given more weight than a category at #3 in your list in the simulation",
"d": "By default, the records of each team is given the most weight in the simulation"
}
}
return render_main.quiz(worker_id, questions, questions_to_display)
