# questionnaire/lexicon_en.py
class Lexicon:
    error_incomplete = "Please answer all the questions."
    age_out_of_range = "Please enter an age between 18 and 99"

    gender_label = "What best describes your gender?"
    gender_choice_1 = "Man"
    gender_choice_2 = "Woman"
    gender_choice_3 = "Other"
    gender_choice_4 = "Prefer not to say"
    sex_at_birth_label = "What sex were you assigned at birth?"
    sex_at_birth_choice_1 = "Male"
    sex_at_birth_choice_2 = "Female"
    sex_at_birth_choice_3 = "Other"
    sex_at_birth_choice_4 = "Prefer not to say"
    eye_color_label = "What is the color of your eyes?"
    eye_color_choice_1 = "Light"
    eye_color_choice_2 = "Dark"
    wear_glasses_or_contacts_label = "Do you currently wear glasses or contact lenses?"
    wear_glasses_or_contacts_choice_1 = "Glasses"
    wear_glasses_or_contacts_choice_2 = "Contact lenses"
    wear_glasses_or_contacts_choice_3 = "Neither"
    vision_problems_label = "Do you have any vision problems?"
    vision_problems_choice_1 = "None"
    vision_problems_choice_2 = "Myopia (Nearsightedness)"
    vision_problems_choice_3 = "Hyperopia (Farsightedness)"
    vision_problems_choice_4 = "Astigmatism"
    vision_problems_choice_5 = "Presbyopia (Age-related)"
    vision_problems_choice_6 = "Other"
    age_label = "What is your age?"
    education_label = "What is your highest degree?"
    education_choice_1 = "Less than High School" 
    education_choice_2 = "High school diploma"
    education_choice_3 = "College diploma"
    education_choice_4 = "University (undergraduate)"
    education_choice_5 = "Master's degree or higher"
    work_label = "What is your current employment status?"
    work_choice_1 = "Student"
    work_choice_2 = "Employed"
    work_choice_3 = "Self-employed"
    work_choice_4 = "Retired"
    work_choice_5 = "Not working"
    income_label = "What is your annual income before taxes and deductions ?"
    income_choice_1 = "0 - $4,999"
    income_choice_2 = "$5,000 - $14,999"
    income_choice_3 = "$15,000 - $39,999"
    income_choice_4 = "$40,000 - $79,999"
    income_choice_5 = "$80,000 or more"
    income_choice_6 = "Don't know / Prefer not to say"
    finlit1_label = """
    Suppose you had $100 in a savings account and the interest rate was 2% per year. 
    After 5 years, how much do you think you would have in the account if you left the money to grow?
    """
    finlit1_choice_1 = "More than $102"
    finlit1_choice_2 = "Exactly $102"
    finlit1_choice_3 = "Less than $102" 
    finlit1_choice_4 = "Don't know"
    finlit1_choice_5 = "Prefer not to say"
    finlit2_label = """
    Imagine that the interest rate on your savings account was 1% per year and inflation was 2% per year. 
    After 1 year, how much would you be able to buy with the money in this account? 
    """
    finlit2_choice_1 = "More than today "
    finlit2_choice_2 = "Exactly the same as today"
    finlit2_choice_3 = "Less than today" 
    finlit2_choice_4 = "Don't know"
    finlit2_choice_5 = "Prefer not to say"
    finlit3_label = """
    Is this statement true or false? 
    “Buying a single company’s stock usually provides a safer return than a stock mutual fund.” 
    """
    finlit3_choice_1 = "True"
    finlit3_choice_2 = "False"
    finlit3_choice_3 = "Don't know"
    finlit3_choice_4 = "Prefer not to say"
    experience_label = "Have you ever invested money in the stock market before?"
    experience_choice_1 = "Yes"
    experience_choice_2 = "No"
    experience_choice_3 = "Don't know / Prefer not to say"
    received_advice_label = "Have you ever received financial advice?"
    received_advice_choice_1 = "Yes, human financial advicer"
    received_advice_choice_2 = "Yes, automated financial advice"
    received_advice_choice_3 = "No"
    received_advice_choice_4 = "Don't know / Prefer not to say"
    robo_curious_label = "Would you say you are generally willing to try out automated financial advice to help you manage your savings?"
    robo_curious_choice_1 = "Yes"
    robo_curious_choice_2 = "No"
    robo_curious_choice_3 = "Don't know / Prefer not to say"
    robo_satisfied_label = "How satisfied are you with the automated financial advice you received?"
    robo_satisfied_choice_1 = "Very satisfied"
    robo_satisfied_choice_2 = "Somewhat satisfied"
    robo_satisfied_choice_3 = "Not very satisfied"
    robo_satisfied_choice_4 = "Not at all satisfied"
    trust_question = "How much would you trust these sources for financial advice? "
    likert_labels = ["Not at all", "A little", "Somewhat", "Quite a bit", "Very much"]
    trust_sources = [
    ("trust_friends", "Your friends"),
    ("trust_influencers", "Social media / influencers"),
    ("trust_advisors", "Financial advisors"),
    ("trust_robos", "Automated financial advisors"),
]
    difficulty_forecast_label = "How difficult did you find forecasting future returns in the experiment?"
    difficulty_forecast_choice_1 = "Not at all"
    difficulty_forecast_choice_2 = "Not very"
    difficulty_forecast_choice_3 = "A bit"
    difficulty_forecast_choice_4 = "Very much"
    difficulty_forecast_choice_5 = "Don't know / Prefer not to say"
    difficulty_allocation_label = "How difficult did you find choosing your investment in the experiment?"
    difficulty_allocation_choice_1 = "Not at all"
    difficulty_allocation_choice_2 = "Not very"
    difficulty_allocation_choice_3 = "A bit"
    difficulty_allocation_choice_4 = "Very much"
    difficulty_allocation_choice_5 = "Don't know / Prefer not to say"
    comfortable_allocation_label = "How comfortable did you feel after allocating your money?"
    comfortable_allocation_choice_1 = "Very Uncomfortable: I felt very anxious and uncertain about my decisions."
    comfortable_allocation_choice_2 = "Uncomfortable: I felt somewhat uneasy and had doubts about my choices"
    comfortable_allocation_choice_3 = "Neutral: I felt neither comfortable nor uncomfortable; it was a mixed experience."
    comfortable_allocation_choice_4 = "Comfortable: I felt fairly at ease and confident in my decisions."
    comfortable_allocation_choice_5 = "Very Comfortable: I felt completely at ease and confident in my allocation choices."
    comfortable_allocation_choice_6 = "Don't know / Prefer not to say"
    advice_helpful_label = "In the experiment, how helpful did you think the financial advice was?"
    advice_helpful_choice_1 = "Not at all"
    advice_helpful_choice_2 = "Not very"
    advice_helpful_choice_3 = "A bit"
    advice_helpful_choice_4 = "Very much"
    advice_helpful_choice_5 = "Don't know / Prefer not to say"
    trust_technology_label = "How much do you trust technology to improve your life?"
    trust_technology_choice_1 = "Not at all: I do not believe technology improves my life at all." 
    trust_technology_choice_2 = "Slightly: I have some reservations and trust technology only a little to enhance my life."
    trust_technology_choice_3 = "Moderately: I have a neutral view; I see both benefits and drawbacks to technology."
    trust_technology_choice_4 = "Mostly: I generally trust technology to positively impact my life."
    trust_technology_choice_5 = "Completely: I fully trust technology to significantly improve my quality of life."
    trust_technology_choice_6 = "Don't know / Prefer not to say"
    comments_label = "Do you have any comments regarding the experiment?"

    regret_decision_label = "When I made a decision that turned out to be bad, I usually regret that decision for a long time."
    regret_decision_choice_1 = "Strongly Disagree"
    regret_decision_choice_2 = "Disagree"
    regret_decision_choice_3 = "Somewhat Disagree"
    regret_decision_choice_4 = "Neither Agree nor Disagree"
    regret_decision_choice_5 = "Somewhat Agree"
    regret_decision_choice_6 = "Agree"
    regret_decision_choice_7 = "Strongly Agree"

    resist_blame_label = "I can easily resist the temptation to blame others for the accidents that happen to me."
    resist_blame_choice_1 = "Strongly Disagree"
    resist_blame_choice_2 = "Disagree"
    resist_blame_choice_3 = "Somewhat Disagree"
    resist_blame_choice_4 = "Neither Agree nor Disagree"
    resist_blame_choice_5 = "Somewhat Agree"
    resist_blame_choice_6 = "Agree"
    resist_blame_choice_7 = "Strongly Agree"


    # Payoff text
    payoff_title = "Final Payment"


    payoff_text = """
    Thank you for completing the experiment. Your final payment consists of four components:
    """

    payoff_showup = "<strong>Show-up payment</strong><br> You receive a fixed show-up payment of {show_up_fee}, independent of your decisions."

    payoff_lottery_intro = "<strong>Lottery payment</strong><br>As described in Part 1 of the experiment, there was a 1 in 20 chance to be selected for a bonus based on your lottery choice."

    payoff_lottery_chosen = """
    <p>You were <strong>selected</strong>. Your lottery choice was to allocate <strong>{lottery_allocation}</strong> tokens to the lottery. 
    The realized outcome was <strong>{lottery_result}</strong>, resulting in a lottery payment of <strong>{lottery_tokens}</strong> 
    (={lottery_allocation}*(1{lottery_return}%) + (100-{lottery_allocation})) tokens.</p>
    """

    payoff_lottery_not_chosen = """
    <p>You were <strong>not selected</strong>, so no additional payment from the lottery applies.</p>
    """ 

    payoff_forecast = """
    <p><strong>Forecast Payment</strong><br> We randomly selected <strong>round {selected_round}</strong> from your 20 investment rounds to determine your payoff.
    In that round, your forecasted return was <strong>{forecast_value}%</strong>, while the realized return was <strong>{realized_return}%</strong>.</p>
    """

    payoff_forecast_accurate = "Your forecast was within ±1% of the realized return, so you receive <strong>50 tokens</strong>."
    payoff_forecast_not_accurate = "Your forecast was not within the ±1% margin, so you receive <strong>0 tokens</strong>."

    payoff_title = "<p><strong>Investment payment</strong><br> "

    round_chosen = "We randomly selected <strong>round {selected_round}</strong> from your 20 investment rounds to determine your payoff." 

    payoff_investment = """
    The realized return on the investment in round {selected_round} was <strong>{realized_return}%</strong>, and 
    <strong>{investment_allocation}</strong> of your tokens were invested in the risky asset.
    Your total payment from your investment in this round was therefore <strong>{invest_payoff}</strong> 
    (={investment_allocation}*(1{investment_return_signed}%) + (100−{investment_allocation})) tokens.</p>
    """

    payoff_total = """
    <p><strong>Total payment</strong><br> The tokens you have earned throughout the experiment add up to 
    <strong>{total_tokens}</strong>, which translates to <strong>{tokens_to_cad}$</strong>.  
    Adding the show-up payment results in a <strong>final payment</strong> of <strong>{final_cad}$</strong>.</p>
    """
    
    final_instruction = """
    Thank you very much for your time participating in this experiment.
    <br>If you have any remaining questions, feel free to ask the experimenter.
    <br>If you have finished reviewing your payment details, please notify the experimenter that you are finished.
    """