from otree.api import (
    models,
    widgets,
    BaseConstants,
    BaseSubsession,
    BaseGroup,
    BasePlayer,
    Currency as c,
    currency_range,
)
import random
import itertools
import numpy as np
from django import forms
from django.forms import widgets as django_widgets
import math


author = 'Nikolas Kirk'

doc = """
Intertemporal Choice
"""


class Constants(BaseConstants):
    name_in_url = 'intertemporal_real_effortv3'
    players_per_group = None

    decisions = {
        'time': [[1], [5], [10], [15], [20], [30]],
        'amounts': [15, 20, 25, 30, 35, 40],
    }
    num_rounds = 7
    combinations = len(decisions['time']) * len(decisions['amounts'])

    units = [
        [1, 'day(s)'],
        [2, 'week(s)'],
        [3, 'month(s)'],
        [4, 'year(s)'],
    ]

    list1 = np.arange(1 * 40, - 1,  -1)
    list2 = []
    list2.append(1)
    c = 0
    d = 0
    for x in range(40):
        c +=1
        if c%2 != 0:
            list2.append(0)
        if c % 2 == 0 and c != 0:
            list2.append(int(d + 5))
            d+=5



class Subsession(BaseSubsession):
    def before_session_starts(self):
        if self.round_number == 1:
            for p in self.get_players():
                p.participant.vars['failed_comprehension'] = False
                p.participant.vars['lists_paying_round'] = random.randint(1, Constants.num_rounds)
                p.participant.vars['list_sequence'] = random.sample(range(0, Constants.combinations), Constants.num_rounds)
        for p in self.get_players():
            p.set_current_task_number()


class Group(BaseGroup):
    pass


class Player(BasePlayer):
    task_identifier = models.StringField()
    set_identifier = models.IntegerField()
    task_number = models.IntegerField()
    time = models.IntegerField()
    task_now = models.IntegerField()
    task_later = models.FloatField()
    task_later_i = models.IntegerField()
    task_later_int = models.BooleanField()
    type = models.StringField()
    endowment = models.FloatField()
    indicator_never_always_switcher = models.IntegerField()
    switching_point = models.FloatField()
    choice_identifier = models.StringField()
    confidence = models.FloatField()
    confidence_upper_bound = models.FloatField()
    confidence_lower_bound = models.FloatField()
    question_failed = models.IntegerField()
    delayed_payment_bool = models.StringField()
    delayed_payment_time = models.StringField()
    failed_comprehension = models.BooleanField(initial=False)
    qn_lottery_got_wrong = models.BooleanField(initial=False)
    qn_list_got_wrong = models.BooleanField(initial=False)
    qn_confidence_got_wrong = models.BooleanField(initial=False)
    qn_hypo_got_wrong = models.BooleanField(initial=False)
    draw_default_num_late = models.IntegerField()
    draw_default_unit_late = models.IntegerField()
    default_num_late = models.FloatField(min = 0, max = 100, blank = False, label="")
    default_unit_late = models.IntegerField(
        choices=Constants.units, blank = False, label=""
    )
    qn_hypo = models.IntegerField(
        choices=[
            [1,
             'In making my decisions, I am asked to assume that I would actually complete the tasks assigned, regardless of whether they take place now or in the future.'],
            [0, 'In making my decisions, I am asked to assume that I would not actually complete the tasks assigned, regardless of whether they take place now or in the future.'],
            [0, 'In making my decisions, I am asked to assume that I would only actually complete the tasks assigned to be completed now.'],
        ],
        widget=widgets.RadioSelect,
        blank=False,
        label=""
    )
    qn_lottery = models.IntegerField(
        choices=[
            [0, 'I would complete 17 tasks at any time in the next 5 days.'],
            [1, 'I would complete either 7 tasks now or 10 tasks in 5 days.'],
            [0, 'I would complete 7 tasks now and 10 tasks in 5 days.'],
        ],
        widget=widgets.RadioSelect,
        blank=False,
        label=""
    )
    qn_list = models.IntegerField(
        choices=[
            [0, 'This person indicated that they prefer completing 30 tasks now.'],
            [0, 'This person indicated that they would only complete 17 tasks.'],
            [1, 'This person indicated that completing 30 tasks in 20 days is worth the same to them as completing between 17 and 18 tasks now.'],
        ],
        widget=widgets.RadioSelect,
        blank=False,
        label=""
    )
    qn_confidence = models.FloatField(
        blank=False,
        label=""
    )

    def set_current_task_number(self):
        setattr(self, 'task_number', self.participant.vars['list_sequence'][self.round_number-1])
        task_list = []
        l = itertools.product(
            Constants.decisions['time'],
            Constants.decisions['amounts'],
        )
        task_list.extend(l)
        tup = task_list[self.task_number]
        setattr(self, 'time', random.choice(tup[0]))
        setattr(self, 'task_now', tup[1])


    def frange(self, start, stop, step):
        i = start
        while i < stop:
            if isinstance(i, int):
                yield i
            else:
                yield round(i, 2)
            i += step

    def right_side_amounts1(self):
        if self.task_now > 0:
            lst = np.arange(self.task_now, -1,  -1)
        return list(enumerate(lst, 1))

    def range_bounds(self):
        if self.switching_point >= 0:
            bounds = [0, self.task_now]
        return bounds

    def table_length1(self):
        return abs(self.task_now) + 1

    def current_choice(self):
        iet_choice = [(self.time, self.task_now)]
        return iet_choice

    def set_switching_point_and_indicator(self):
        if self.task_now > 0:
            if self.switching_point == 9999:
                self.switching_point = self.task_now + 1
                self.indicator_never_always_switcher = 2
            elif self.switching_point == 0:
                self.indicator_never_always_switcher = 0
            else:
                self.indicator_never_always_switcher = 1
        elif self.task_now < 0:
            if self.switching_point == 9999:
                self.switching_point = 1
                self.indicator_never_always_switcher = 2
            elif self.switching_point == self.task_now:
                self.indicator_never_always_switcher = 0
            else:
                self.indicator_never_always_switcher = 1