from pickle import FALSE
from xml.dom import ValidationErr
from otree.api import *
import random
#import streamlit
import numpy
import locale

locale.setlocale(locale.LC_ALL, 'en_US.UTF-8')

doc = """
Your app description
"""



class C(BaseConstants):
    NAME_IN_URL = 'vehicle_portion'
    PLAYERS_PER_GROUP = None
    NUM_ROUNDS = 1
    GENERAL_BENEFIT = cu(100)
    # """Cost incurred by volunteering player"""
    VOLUNTEER_COST = cu(40)
    num_pages = 8


class Group(BaseGroup):
    pass


class Subsession(BaseSubsession):
    pass

#Currently this will show up as every question on a single page. Might want to define a new page for each question, so they have
# to click next to get to each question. Something to think about

class Player(BasePlayer):
    prolific_id = models.StringField(default=str(" "))
    current_page = models.IntegerField(initial=0)
    #Assign experimental groups
    assigned_group = models.StringField(
        choices= [
            'control',
            'treatment1',
            'treatment2',
        ]
    )
    vehicle_choice = models.IntegerField(
        label = "Which vehicle will you decide to purchase",
        choices=[
            [1, 'Vehicle A'],
            [2, 'Vehicle B']
        ],
        widget=widgets.RadioSelect
    )

    

     
    vehicle_rankprice = models.StringField(
        label = ''' 
        The importance of the sale price in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankbrand = models.StringField(
        label = ''' 
        The importance of the brand types in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankop = models.StringField(
        label = ''' 
        The importance of the operating costs (maintenance + fuel costs) in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankrange = models.StringField(
        label = '''
        The importance of the driving range in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankcharge = models.StringField(
        label = '''
        The importance of the location and availability of 
        electric vehicle charging stations in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankcharget = models.StringField(
        label = ''' 
        The importance of the duration or time to recharge an 
        electric vehicle in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_rankpollution = models.StringField(
        label = '''
        The importance of the differences in air pollution in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)



    vehicle_rankimagepri = models.StringField(
        label = '''
        The importance of the of the reputation of 
        electric vehicles among your friends and family in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_ranklooks = models.StringField(
        label = '''
        The importance of the overall appearance or exterior aesthetic in influencing your decision?''',
        choices=[
            [1,'Very Unimportant'],
            [2,'Slightly Unimportant'],
            [3,'Neutral'],
            [4,'Slightly Important'],
            [5,'Very Important']
        ],
        widget=widgets.RadioSelect)

    vehicle_marketavail = models.StringField(
        label = '''
        Indicate your agreement with the following statement: "If I were to purchase a new motor vehicle today, 
        I believe there would be appealing options available in both gasoline and electric models, even if they are different makes or models."''',
        choices=[
            [1,'Strongly Disagree'],
            [2,'Slightly Disagree'],
            [3,"Neutral"],
            [4,'Slightly Agree'],
            [5,'Strongly Agree']
        ],
        widget=widgets.RadioSelect)

    #budget = models.CurrencyField(initial=55000)
    # define all the volunteer dilemma related stuff
    volunteer = models.BooleanField(
        label='Do you wish to volunteer?',
        choices=[[1,'Yes'],[0,'No']],
        widget=widgets.RadioSelect
    )

    computer_volunteer = models.BooleanField()

    price_vehicle_a = models.StringField()
    price_vehicle_b = models.StringField()
    fuel_vehicle_a = models.StringField()
    fuel_vehicle_b = models.StringField()
    range_vehicle_a = models.StringField()
    range_vehicle_b = models.StringField()
    
    ####################################### Baseline Questions ######################################
    purchase_durable_goods = models.StringField(
        choices=[[1, 'Yes'], [0, 'No']], 
        label='Do you have a significant role in the decision-making process for purchasing durable goods (such as motor vehicles, appliances, computers, etc.) within your household?', 
        widget=widgets.RadioSelect)
    motor_vehicles_num = models.IntegerField(label='How many motor vehicles does your household currently own or lease?')


    transportation_home_work = models.StringField(
        choices=[['Motorcycle', 'Motorcycle'], ['Car', 'Car'], ['Truck', 'Truck'], ['SUV', 'SUV'], ['Bicycle/Foot', 'Bicycle/Foot'], ['Public Transit', 'Public Transit']], 
        label='What is your main mode of transportation for traveling from home to work?', 
        widget=widgets.RadioSelect)
    transportation_home_leisure = models.StringField(
        choices=[['Motorcycle', 'Motorcycle'], ['Car', 'Car'], ['Truck', 'Truck'], ['SUV', 'SUV'], ['Bicycle/Foot', 'Bicycle/Foot'], ['Public Transit', 'Public Transit']], 
        label='What is your main mode of transportation for traveling from home to leisure?', 
        widget=widgets.RadioSelect)
    miles_traveled = models.IntegerField(label='Approximately how many miles do you travel on a daily basis from home to work? Note that zero can be an appropriate response.')
    miles_traveled_l = models.IntegerField(label='Approximately how many miles do you generally travel from home to leisure? Note that zero can be an appropriate response.')
    ev_own = models.StringField(
        choices=[[1, 'Yes'], [0, 'No']], 
        label='Do you currently own or lease an electric vehicle?', 
        widget=widgets.RadioSelect)
    ev_group = models.StringField(
        choices=[[1, 'Yes'], [0, 'No']], 
        label='Does anyone in your family or friends own or lease an electric vehicle?', 
        widget=widgets.RadioSelect)
    ev_driven = models.StringField(
        choices=[[1, 'Yes'], [0, 'No']], 
        label='Have you ever driven in an electric vehicle as a passenger or operator?', 
        widget=widgets.RadioSelect)


    ######################################### Socioeconomic/demo questions ######################################
    age = models.IntegerField(label='What is your age?', min=18, max=125)
    gender = models.StringField(
        label='What is your gender?',
        choices=[
            ['Male', 'Male'], 
            ['Female', 'Female'],
            ['Non-Binary','Non-Binary']
            ],
        widget=widgets.RadioSelect,
    )
    income = models.IntegerField(label='What is your approximate household annual income in dollars?', min=0, max=10000000)
    state = models.StringField(choices=[['AL', 'AL'], ['AK', 'AK'], ['AZ', 'AZ'], ['AR', 'AR'], ['CA', 'CA'], ['CO', 'CO'], ['CT', 'CT'], ['DE', 'DE'], ['DC', 'DC'], ['FL', 'FL'], ['GA', 'GA'], ['HI', 'HI'], ['ID', 'ID'], ['IL', 'IL'], ['IN', 'IN'], ['IA', 'IA'], ['KS', 'KS'], ['KY', 'KY'], ['LA', 'LA'], ['ME', 'ME'], ['MD', 'MD'], ['MA', 'MA'], ['MI', 'MI'], ['MN', 'MN'], ['MS', 'MS'], ['MO', 'MO'], ['MT', 'MT'], ['NE', 'NE'], ['NV', 'NV'], ['NH', 'NH'], ['NJ', 'NJ'], ['NM', 'NM'], ['NY', 'NY'], ['NC', 'NC'], ['ND', 'ND'], ['OH', 'OH'], ['OK', 'OK'], ['OR', 'OR'], ['PA', 'PA'], ['RI', 'RI'], ['SC', 'SC'], ['SD', 'SD'], ['TN', 'TN'], ['TX', 'TX'], ['UT', 'UT'], ['VT', 'VT'], ['VA', 'VA'], ['WA', 'WA'], ['WV', 'WV'], ['WI', 'WI'], ['WY', 'WY']], 
        label='Which state do you live in?',
        widgets=widgets.RadioSelectHorizontal)
    urbanization = models.StringField(choices=[['Urban', 'Urban'], ['Suburban', 'Suburban'], ['Rural', 'Rural']], 
        label='Which level of urbanization best describes where you live?', widget=widgets.RadioSelect)
    educ = models.StringField(choices=[['High School - no diploma', 'High School - no diploma'], ['High School - diploma', 'High School - diploma'], ['Some college', 'Some college'], ["Bachelor's", "Bachelor's"], ["Master's or above", "Master's or above"]], 
        label='What is the highest level of education you have attained?', widget=widgets.RadioSelect)
    job_status = models.StringField(choices=[['Employed full-time', 'Employed full-time'], ['Employed part-time', 'Employed part-time'], ['Unemployed', 'Unemployed'], ['Student', 'Student'], ['Self-employed', 'Self-employed'], ['Retired', 'Retired'], ['Full time housewife/househusband', 'Full time housewife/househusband']], 
        label='What is your occupational status?', widget=widgets.RadioSelect)
    marital_status = models.StringField(choices=[[1, 'Yes'], [0, 'No']], 
        label='Are you married?', widget=widgets.RadioSelect)
    kids = models.StringField(choices=[[1, 'Yes'], [0, 'No']], 
        label='Do you have children?', widget=widgets.RadioSelect)
    household = models.IntegerField(label='What is the size of your household?', min=1, max=100)
    race = models.StringField(choices=[['African American or Black', 'African American or Black'], ['White', 'White'], 
    ['American Indian or Alaska Native', 'American Indian or Alaska Native'], ['Asian', 'Asian'], ['Native Hawaiian or Other Pacific', 'Native Hawaiian or Other Pacific'], ['Other','Other']], 
        label='What is your race?', widget=widgets.RadioSelect)
    ethnicity = models.StringField(choices=[['Hispanic or Latino', 'Hispanic or Latino'], ['Not Hispanic or Latino', 'Not Hispanic or Latino']], 
        label='What is your ethnicity?', widget=widgets.RadioSelect)
    charity = models.StringField(choices=[[1, 'Yes'], [0, 'No']], 
        label='Have you ever donated money or volunteered for a charitable cause?', widget=widgets.RadioSelect)

    #################################  Political Ideology  ######################################
    political_affiliation = models.StringField(
        label = "What best describes your political affiliation",
        choices = [
            ['Democrat','Democrat'],
            ['Republican','Republican'],
            ['Independent','Independent'],
            ['Other','Other']
        ],
        widget=widgets.RadioSelect,
    )
    political_ideology_econ = models.StringField(
        label = "What best describes your political stance on economic issues",
        choices = [
            [1,'Strongly Conservative'],
            [2,'Conservative'],
            [3,'Moderate'],
            [4,'Liberal'],
            [5,'Strongly Liberal']
        ],
        widget=widgets.RadioSelect,
    )
    political_ideology_social = models.StringField(
        label = "What best describes your political stance on social issues",
        choices = [
            [1,'Strongly Conservative'],
            [2,'Conservative'],
            [3,'Moderate'],
            [4,'Liberal'],
            [5,'Strongly Liberal']
        ],
        widget=widgets.RadioSelect,
    )  

    #do some historical voting, rather than hypothetical
    biden_v_trump = models.IntegerField(label='Who did you vote for in the 2020 Presidential election', 
        choices = [
                [1,'Joe Biden'],
                [2,'Donald Trump'],
                [3,'Other'],
                [4,'Did not vote']
            ],
            widget=widgets.RadioSelect)
    clinton_v_trump = models.IntegerField(label='Who did you vote for in the 2016 Presidential election', 
        choices = [
                [1,'Hillary Clinton'],
                [2,'Donald Trump'],
                [3,'Other'],
                [4,'Did not vote']
            ],
            widget=widgets.RadioSelect)
    obama_v_romney = models.IntegerField(label='Who did you vote for in the 2012 Presidential election', 
        choices = [
                [1,'Barack Obama'],
                [2,'Mitt Romney'],
                [3,'Other'],
                [4,'Did not vote']
            ],
            widget=widgets.RadioSelect)

    policy_support_landconservation = models.StringField(
        label="Do you support laws or policies of land conservation",
        widget=widgets.RadioSelect,
        choices=[[1, 'Yes'], [0, 'No']]
        #blank=True
    )
    policy_support_nationalparks = models.StringField(
        label="Do you support support laws or policies that protect national parks",
        widget=widgets.RadioSelect,
        choices=[[1, 'Yes'], [0, 'No']]
        #blank=True
    )
    policy_support_pollution = models.StringField(
        label="Do you support laws or policies that limit pollution",
        widget=widgets.RadioSelect,
        choices=[[1, 'Yes'], [0, 'No']]
        #blank=True
    )
    policy_support_energysecurity = models.StringField(
        label="Do you support laws or policies that promote energy security",
        widget=widgets.RadioSelect,
        choices=[[1, 'Yes'], [0, 'No']]
        #blank=True
    )


#OEERE says that maintenance costs ofr EVs are $0.06/mile, 
#       ICEs are                                $0.10/mile:
# ICEs are 1.667 times more expensive for maintenace costs on average

# 15,000 miles as the factor for a year of driving

# at $3/gallon, MPG of 25 miles/gallon and 15,000 miles gives

# 3 dollars/gallon / (25 miles/gallon) = 3/25 dollars/mile

# BTS https://data.bts.gov/stories/s/Transportation-Economic-Trends-Transportation-Spen/bzt6-t8cd/
#       says that it costs $0.28/mile for gasoline costs. way too high
# AAA Gas prices give mean price of $3.49/gallon
# https://www.energysage.com/ev-charging/electric-vehicle-charging-cost/
#       says it costs $0.05/mile for EV charging costs

# EV total = $0.06/mile + $0.05/mile = $0.11/mile
# ---------> $1650 total, per year at 15,000 miles
# ICE total = $0.10/mile + $0.28/mile = $0.38/mile
# ---------> $5700 total, per year at 15,000 miles

# Thus, I can also encorporate these into the choice set: add fuel and maintence over 5 years
# This is why it's easier to take the mean prices, a set mileage, to estimate the RVs.

# Stick with estimates from OEERE for costs per mile for fuel and costs per mile for maintenace, and then 
# generate a std_dev based on those means

# https://gasprices.aaa.com/?state=US gives mean gasoline price at $3.49/gallon

# Assume 25 MPG and $3.49/gallon

# operating costs: https://publications.anl.gov/anlpubs/2021/05/167399.pdf

#vmt = [8206, 	6873, 	7624, 17976, 	12004, 	15098, 18858, 	11464, 	15291, 15859, 	7780, 	11972,  10304, 	4785, 	7646 ]
#numpy.median(vmt)

def creating_session(subsession):
    players = subsession.get_players()

    treatment_probabilities = [1/3,1/3,1/3]
    treatments = ['control', 'treatment1', 'treatment2']

    #miles_year = 15000
    miles_year = 11500 #use the median vmt, rather than the mean

    ICE_cost_mile = 3.49/25 + 0.10 #fuel plus maintenance
    EV_cost_mile = 0.05 + 0.06 #fuel plus maintenance

    ICE_operating = ICE_cost_mile*miles_year
    EV_operating = EV_cost_mile*miles_year

    for player in players:
        # Randomly assign the player to a group based on the probability distribution
        player.assigned_group = random.choices(treatments, treatment_probabilities)[0]
        #specify the joint normal distribution for the vehicle attributes
        means_EV = numpy.array([53469,EV_operating,234]) #sticker price, fuel cost, range means
        # std_dev should be about x.bar - lb / 1.96, to capture 95% of the distr
        std_dev_EV = numpy.array([6000,175,72])
        #std_dev_EV = numpy.array([7000,75,72])
        #std_dev_EV = numpy.array([7000,75,87])

        means_ICE = numpy.array([48334,ICE_operating,403]) #sticker price, fuel cost, range means
        std_dev_ICE = numpy.array([6000,254,53])
        #std_dev_ICE = numpy.array([8000,154,53])

        #If i specify the correlation between two RVs, then I can get the covariance if i have the variances
        # cov(x,y) = rho(x,y)*std_x*std_y

        #I should set the price per mile travelled, and then assume a total number of miles and then generate the yearly cost.
        # This is because the yearly fuel cost is correlated with the range, but only in that the range might induce more driving
        # Thus, I want to decrease the correlation a bit

        cov_matrix_EV = numpy.array([[std_dev_EV[0]**2, .2*std_dev_EV[0]*std_dev_EV[1], .7*std_dev_EV[0]*std_dev_EV[2]],[.2*std_dev_EV[0]*std_dev_EV[1], std_dev_EV[1]**2, .2*std_dev_EV[1]*std_dev_EV[2]],[.7*std_dev_EV[0]*std_dev_EV[2], .2*std_dev_EV[1]*std_dev_EV[2], std_dev_EV[2]**2]])
        #numpy.transpose(numpy.array([[8000**2, .3, .7],[.3, 485**2, .5],[.7,.5,234**2]]))
        cov_matrix_ICE = numpy.array([[std_dev_ICE[0]**2, .2*std_dev_ICE[0]*std_dev_ICE[1], .7*std_dev_ICE[0]*std_dev_ICE[2]],[.2*std_dev_ICE[0]*std_dev_ICE[1], std_dev_ICE[1]**2, .2*std_dev_ICE[1]*std_dev_ICE[2]],[.7*std_dev_ICE[0]*std_dev_ICE[2], .2*std_dev_ICE[1]*std_dev_ICE[2], std_dev_ICE[2]**2]])
        
        #numpy.transpose(cov_matrix_ICE)==cov_matrix_ICE
        #numpy.linalg.eigvals(cov_matrix_ICE)

        vehicle_EV_draw = numpy.random.multivariate_normal(means_EV, cov_matrix_EV)
        vehicle_ICE_draw = numpy.random.multivariate_normal(means_ICE, cov_matrix_ICE)

        #vehicle_EV_draw = numpy.random.multivariate_normal(means_EV, cov_matrix_EV,2500)
        #vehicle_ICE_draw = numpy.random.multivariate_normal(means_ICE, cov_matrix_ICE,2500)
        #numpy.quantile(vehicle_EV_draw[1:2500,0]+vehicle_EV_draw[1:2500,1]-vehicle_ICE_draw[1:2500,0]-vehicle_ICE_draw[1:2500,1], q= .33) #36% of the EVs are less expensive than the ICEs over 1 year.
        #numpy.quantile(vehicle_EV_draw[1:2500,0]+vehicle_EV_draw[1:2500,1]*5-vehicle_ICE_draw[1:2500,0]-vehicle_ICE_draw[1:2500,1]*5, q= .56) #56% of the EVs are less expensive than the ICEs over 5 years


        #numpy.quantile(vehicle_EV_draw[0]-vehicle_ICE_draw[0], q= .25)
        #vehicle_ICE_draw = numpy.random.Generator.multivariate_normal(means_ICE, cov_matrix_ICE)

        
        #numpy.linalg.eigvals(cov_matrix_ICE)
        #numpy.linalg.eigvals(cov_matrix_EV)

        #price_vehicle_a = random.randint(35,50) * 1000
        #price_vehicle_b = random.randint(35,50) * 1000
        #savings_vehicle_a = 55000 - price_vehicle_a
        #savings_vehicle_b = 55000 - price_vehicle_b

        player.price_vehicle_a = locale.currency(vehicle_EV_draw[0], grouping=True)
        player.price_vehicle_b = locale.currency(vehicle_ICE_draw[0], grouping=True)

        player.fuel_vehicle_a = locale.currency(vehicle_EV_draw[1]*5, grouping=True)
        player.fuel_vehicle_b = locale.currency(vehicle_ICE_draw[1]*5, grouping=True)

        player.range_vehicle_a = numpy.round(vehicle_EV_draw[2],0)
        player.range_vehicle_b = numpy.round(vehicle_ICE_draw[2],0)

        computer_volunteer_choice = random.choice([1, 0])
        player.computer_volunteer = bool(computer_volunteer_choice)


# FUNCTIONS

# PAGES




class VehicleChoicePage(Page):
    form_model = "player"
    form_fields = ['vehicle_choice']

    #def before_next_page(player):
    #    

    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        description = ''

        if player.assigned_group == 'treatment1':
            description = '''Imagine this scenario: You're shopping for a new everyday vehicle 
            and have decided which make and model you would like to purchase. Before completing the purchase, the salesperson 
            presents the two following options for your choice, one with a gasoline engine and another with an electric engine. 
            Please note the different attributes that are available for each option: sale price, maintenance plus fuel costs over 5 years, and the range in miles for a full charge or
            full tank of gasoline. 
            Now, choose your final vehicle from the options below. <strong>Keep in mind that electric vehicles are often chosen 
            by people with liberal views.</strong>'''
            #group_vehicle_a = 'Liberal Vehicle'
        if player.assigned_group == 'treatment2':
            description = '''Imagine this scenario: You're shopping for a new everyday vehicle 
            and have decided which make and model you would like to purchase. Before completing the purchase, the salesperson 
            presents the two following options for your choice, one with a gasoline engine and another with an electric engine. 
            Please note the different attributes that are available for each option: sale price, maintenance plus fuel costs over 5 years, and the range in miles for a full charge or
            full tank of gasoline.
            Now, choose your final vehicle from the options below. <strong>Keep in mind that lately, electric vehicles have been chosen 
            by people with conservative views.</strong>'''
            #group_vehicle_a = 'Conservative Vehicle'
        elif player.assigned_group == 'control':
            description = '''Imagine this scenario: You're shopping for a new everyday vehicle 
            and have decided which make and model you would like to purchase. Before completing the purchase, the salesperson 
            presents the two following options for your choice, one with a gasoline engine and another with an electric engine. 
            Please note the different attributes that are available for each option: sale price, maintenance plus fuel costs over 5 years, and the range in miles for a full charge or
            full tank of gasoline.
            Now, choose your final vehicle from the options below.'''
            #group_vehicle_a = ''


        return{
            'vehicle_a': {
                'label': 'Vehicle A',
                'price': player.price_vehicle_a,
                'fuelcost': player.fuel_vehicle_a,
                'range': player.range_vehicle_a,
                'fuel type': 'Electricity'
            },
            'vehicle_b': {
                'label': 'Vehicle B',
                'price': player.price_vehicle_b,
                'fuelcost': player.fuel_vehicle_b,
                'range': player.range_vehicle_b,
                'fuel type': 'Gasolilne'
            },
            'description': description,
            'current_page': player.current_page
        }



class AttentionChecks(Page):
    form_model = 'player'
    form_fields = ['vehicle_rankprice','vehicle_rankop','vehicle_rankrange','vehicle_rankcharge','vehicle_rankcharget','vehicle_rankbrand','vehicle_rankpollution','vehicle_rankimagepri','vehicle_ranklooks','vehicle_marketavail']

    #def before_next_page(player):
    #player.current_page += 1

    def vars_for_template(player):
        player.current_page = player.current_page + 1
        return{
            'current_page': player.current_page
        }

#perhaps I want to ask the attention checks with respect to the attributes that were presented, as well as for a question that says what did the bold text
# say on the previous question? With an option, there was no bold text.



#form_fields = ['purchase_durable_goods', 'motor_vehicles_num', 'motor_vehicles_type', 'transportation_home_work', 'transportation_home_leisure', 'miles_traveled', 'ev_own', 'ev_driven']
#form_fields = ['age', 'gender', 'state', 'urbanization', 'edu', 'job_status', 'marital_status', 'kids', 'household', 'income', 'race', 'ethnicity', 'veteran', 'insurance', 'medicaid', 'charity']


baseline_form = ['purchase_durable_goods', 'motor_vehicles_num', 'transportation_home_work', 'transportation_home_leisure', 'miles_traveled', 'miles_traveled_l','ev_own','ev_group','ev_driven']
#baseline_form = ['purchase_durable_goods', 'motor_vehicles_num', 'motor_vehicles_type_motorcycle', 'motor_vehicles_type_car', 'motor_vehicles_type_truck', 'motor_vehicles_type_suv','transportation_home_work', 'transportation_home_leisure', 'miles_traveled', 'miles_traveled_l','ev_own', 'ev_driven','ev_driven_p']
demographics_form = ['age', 'gender', 'state', 'urbanization', 'political_affiliation','educ', 'job_status', 'marital_status', 'kids', 'household', 'income', 'race', 'ethnicity', 'charity']
#political_form = ['political_ideology_econ', 'political_ideology_social', 'biden_v_trump', 'clinton_v_trump', 'obama_v_romney',"policy_support_capital_punishment","policy_support_abortion","policy_support_gun_control","policy_support_social_health","policy_support_samesex_marriage","policy_support_immigration","policy_support_asylum","policy_support_freetrade","policy_support_landconservation","policy_support_nationalparks","policy_support_energysecurity"]
political_form = ['political_ideology_econ', 'political_ideology_social', "policy_support_landconservation","policy_support_nationalparks","policy_support_energysecurity","policy_support_pollution"]




class Baseline(Page):
    form_model = 'player'
    form_fields = baseline_form
    
    #def before_next_page(player):
    #    player.current_page += 1

    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        description = 'Please complete the following questions. These questions and your responses are completely anonymous and confidential.'

        return{
            'description': description,
            'current_page': player.current_page
        }


class Demographics(Page):
    form_model = 'player'
    form_fields = demographics_form
    
    @staticmethod
    def before_next_page(self, timeout_happened):
        self.prolific_id = self.participant.label

    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        description = 'Please complete the following questions. These questions and your responses are completely anonymous and confidential.'

        return{
            'description': description,
            'current_page': player.current_page
        }
    pass


class Political(Page):
    form_model = 'player'
    form_fields = political_form
    
    #def before_next_page(player):
    #    player.current_page += 1

    #def formfield_for_checkbox(self, field_name):
    #    if field_name.startswith('policy_support_'):
    #        return models.BooleanField(
    #            label=field_name.replace('policy_support_', '').replace('_', ' '),
    #            blank=True,
    #        )

    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        description = 'Please complete the following questions. These questions and your responses are completely anonymous and confidential.'

        return{
            'description': description,
            'current_page': player.current_page
        }




class Introduction(Page):
    pass
#this gives the instructions page

class Volunteer(Page):
    form_model = 'player'
    form_fields = ['volunteer']
    #timeout_seconds = 60
    #def before_next_page(self):

    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        
        return{
            'current_page': player.current_page
        }

class Results(Page):
    #def before_next_page(player):
    #    player.current_page += 1
        
    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1
        num_volunteers = sum([player.volunteer, player.computer_volunteer])

        if num_volunteers > 0:
            baseline_amount = C.GENERAL_BENEFIT
        else:
            baseline_amount = cu(0)

        if player.volunteer:
            payoff = baseline_amount - C.VOLUNTEER_COST
        else:
            payoff = baseline_amount

        return {'player': {
            'volunteer': player.volunteer,
            'volunteers': num_volunteers,
            'payoff': payoff
            },
            'current_page': player.current_page
        }


class Debrief(Page):
    def vars_for_template(player: Player):
        player.current_page = player.current_page + 1

        return{
            'current_page': player.current_page
        }
#Contribution, ResultsWaitPage, Results, 
#Introduction

page_sequence = [Demographics, Volunteer, Results, VehicleChoicePage, AttentionChecks, Political, Baseline, Debrief]
#page_sequence = [VehicleChoicePage, Baseline, AttentionChecks]

#page_sequence = [AttentionChecks, Political, Baseline, Debrief]