from otree.api import *
c = cu

doc = ''
class C(BaseConstants):
    NAME_IN_URL = 'PEQ_P'
    PLAYERS_PER_GROUP = None
    NUM_ROUNDS = 1
    TEMP_TEMPLATE = 'PEQ_P/temp.html'
    INTRO_TEMPLATE = 'PEQ_P/intro.html'
    MANI_TEMPLATE = 'PEQ_P/mani.html'
class Subsession(BaseSubsession):
    pass
class Group(BaseGroup):
    pass
class Player(BasePlayer):
    Mani_Chk = models.IntegerField(choices=[[1, 'TRUE'], [0, 'FALSE']], label='You earn points based on the amount of winning bid [TRUE or FALSE]', widget=widgets.RadioSelect)
    Mani_Chk2 = models.IntegerField()
    PEQ1 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2 '], [3, '3 '], [4, '4 - Neither Disagree Nor Agree'], [5, '5 '], [6, '6'], [7, '7 - Strongly Agree']], label='1. I intentionally made favorable predictions to make my assets appear more valuable to Buyers', widget=widgets.RadioSelectHorizontal)
    PEQ2 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='2. I tried to be as accurate as possible when making my predictions', widget=widgets.RadioSelectHorizontal)
    PEQ3 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='3. My predictions were intended to benefit me', widget=widgets.RadioSelectHorizontal)
    PEQ4 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='4. My predictions were intended to benefit Buyers', widget=widgets.RadioSelectHorizontal)
    PEQ5 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='5. I considered how accurate I was relative to other Owners when making my predictions', widget=widgets.RadioSelectHorizontal)
    PEQ6 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='6. My predictions were accurate', widget=widgets.RadioSelectHorizontal)
    PEQ7 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='7. My predictions were more accurate than the other two Owners', widget=widgets.RadioSelectHorizontal)
    PEQ8 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='8. I believe that Buyers will have enough information to evaluate whether my predictions were made to serve my own interests or to be accurate', widget=widgets.RadioSelectHorizontal)
    PEQ9 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='1. I chose a higher likelihood to maximize the asset value', widget=widgets.RadioSelectHorizontal)
    PEQ10 = models.IntegerField(choices=[[1, '1 - Strongly Disagree'], [2, '2'], [3, '3'], [4, '4 - Neither Disagree Nor Agree'], [5, '5'], [6, '6'], [7, '7 - Strongly Agree']], label='2. I selected the likelihoods to ensure my predictions would be accurate', widget=widgets.RadioSelectHorizontal)
    PEQ11 = models.IntegerField(choices=[[1, 'Strongly Unlikely '], [2, 'Unlikely'], [3, 'Somewhat Unlikely'], [4, 'Neither Likely Nor Unlikely'], [5, 'Somewhat Likely'], [6, 'Likely'], [7, 'Strongly Likely']], label='In general, how likely are you to take risks', widget=widgets.RadioSelect)
    Gender = models.IntegerField(choices=[[1, 'Male'], [2, 'Female'], [3, 'Other'], [4, 'Prefer not to answer']], label='What is your gender', widget=widgets.RadioSelect)
    Age = models.IntegerField(label='What is your age')
    English = models.IntegerField(choices=[[1, 'YES'], [0, 'NO']], label='Are you a native English speaker', widget=widgets.RadioSelect)
    English2 = models.StringField(label='If you are not a native English speaker, what is your native language')
    Major = models.StringField(label='What is your major')
    FIN_ECON = models.IntegerField(choices=[[1, 'YES'], [0, 'NO']], label='Have you ever taken a finance or an economic course in the past', widget=widgets.RadioSelect)
    Degree = models.IntegerField(choices=[[1, 'Less than high school degree'], [2, 'High school graduate (high school diploma or equivalent including GED)'], [3, 'Some college but no degree'], [4, 'Associate degree in college (2-year)'], [5, "Bachelor's degree in college (4-year)"], [6, "Master's degree"], [7, 'Doctoral degree (PHD)'], [8, 'Professional degree (e.g. JD, MD)']], label='What is the highest level of school you have completed or the highest degree you have received', widget=widgets.RadioSelect)
    Industry = models.IntegerField(choices=[[1, 'Administrative and Support Services'], [2, 'Agriculture, Forestry, Fishing, and Hunting'], [3, 'Construction'], [4, 'Educational Services'], [5, 'Finance and Insurance'], [6, 'Government'], [7, 'Health Care and Social Assistance'], [8, 'Information'], [9, 'Management of Companies and Enterprises'], [10, 'Manufacturing'], [11, 'Mining, Quarrying, and Oil and Gas Extraction'], [12, 'Other Services (Except Public Administration)'], [13, 'Professional, Scientific, and Technical Services'], [14, 'Real Estate and Rental and Leasing'], [15, 'Retail'], [16, 'Transportation and Warehousing'], [17, 'Utilities'], [18, 'Wholesale'], [19, 'Others/None of the Above'], [20, 'Unemployed']], label='What industry do you work in', widget=widgets.RadioSelect)
    Wage = models.IntegerField(choices=[[1, 'Top 1/3'], [2, 'Middle 1/3'], [3, 'Bottom 1/3'], [4, 'I am currently unemployed']], label='Where does your job place you in your organization? (In terms of wage)', widget=widgets.RadioSelect)
    Experience = models.IntegerField(choices=[[1, 'No work experience'], [2, '1 – 5 years'], [3, '5 – 10 years'], [4, 'More than 10 years']], label='How many years of working experience do you have? (Approximate)    ', widget=widgets.RadioSelect)
    Experiment_Num = models.IntegerField(choices=[[1, 'Less than 500'], [2, '500 - 1000 '], [3, '1001 - 2000'], [4, '2001 - 5000'], [5, 'More than 5000']], label='About how many experiments/studies have you participated in the past year? (Approximate)', widget=widgets.RadioSelect)
    Mturk_Code = models.LongStringField()
    Prediction = models.IntegerField()
    Likelihood = models.IntegerField()
    Cost = models.IntegerField()
    AV = models.IntegerField()
    Pay = models.FloatField()
def Data_Retrieve(player: Player):
    participant = player.participant
    player.Prediction = participant.vars["prediction"]
    player.Likelihood = participant.vars["likelihood"] 
    player.Cost = participant.vars["cost"]
    player.AV = participant.vars["av"]
    player.Pay = participant.vars["pay"]
def generate_mturk_code(player: Player):
    import random
    mturk_code = random.randint(1, 999999999999999)
    player.Mturk_Code = str(mturk_code)
class PEQ_Intro(Page):
    form_model = 'player'
    @staticmethod
    def before_next_page(player: Player, timeout_happened):
        Data_Retrieve(player)
class PEQ1(Page):
    form_model = 'player'
    form_fields = ['Mani_Chk']
class PEQ2(Page):
    form_model = 'player'
    form_fields = ['Mani_Chk2']
class PEQ3(Page):
    form_model = 'player'
    form_fields = ['PEQ1', 'PEQ2', 'PEQ3', 'PEQ4', 'PEQ5', 'PEQ6', 'PEQ7', 'PEQ8']
class PEQ4(Page):
    form_model = 'player'
    form_fields = ['PEQ9', 'PEQ10']
class PEQ5(Page):
    form_model = 'player'
    form_fields = ['PEQ11']
class Demo(Page):
    form_model = 'player'
    form_fields = ['Gender', 'Age', 'English', 'English2', 'Major', 'FIN_ECON', 'Degree', 'Industry', 'Wage', 'Experience', 'Experiment_Num']
    @staticmethod
    def before_next_page(player: Player, timeout_happened):
        generate_mturk_code(player)
class Results(Page):
    form_model = 'player'
page_sequence = [PEQ_Intro, PEQ1, PEQ2, PEQ3, PEQ4, PEQ5, Demo, Results]