from otree.api import (
    models, widgets, BaseConstants, BaseSubsession, BaseGroup, BasePlayer,
    Currency as c, currency_range
)

from django.forms.widgets import NumberInput
from itertools import cycle
from random import uniform
from treatments_solo_tasks import *

author = 'Your name here'

doc = """
Your app description
"""


class Constants(BaseConstants):
    name_in_url = 'taskcpr'
    players_per_group = None
    num_rounds = 4

    max_seconds_waiting_for_partners = 1000 * 65 * 1

    endowment = 1
    multiplier = 2

    empathy_values = [(n, f'global/imgs/emoji{n}.png') for n in range(1, 6)]


class Subsession(BaseSubsession):
    # match players and identify the relevant partner identity treatment
    def set_partner_based_on_identity(self, still_waiting_for_task, task, num_players):
        # look for group in condition other_region or other_school
        for t in ['region', 'school']:
            s = set(p.participant.vars['data'].get(t) for p in still_waiting_for_task)
            if len(s) == num_players:
                i = [s.pop() for _ in range(num_players)]
                group = [next(p for p in still_waiting_for_task if p.participant.vars['data'].get(t) == j) for j in i]
                if t == 'region':
                    for p in group:
                        p.participant.vars['partner'] = 'other_region'
                        p.cooperate_partner = 'other_region'
                else:
                    for p in group:
                        p.participant.vars['partner'] = 'other_school'
                        p.cooperate_partner = 'other_school'
                return group
        # look for group in condition same class
        schools = set(p.participant.vars['data'].get('school') for p in still_waiting_for_task)
        for s in schools:
            classes = set(p.participant.vars['data'].get('class') for p in still_waiting_for_task if
                          p.participant.vars['data'].get('school') == s)
            for c in classes:
                group = [p for p in still_waiting_for_task if
                         p.participant.vars['data'].get('school') == s and p.participant.vars['data'].get('class') == c]
                if len(group) >= num_players:
                    group = group[:num_players]
                    for p in group:
                        p.participant.vars['partner'] = 'same_class'
                        p.cooperate_partner = 'same_class'
                    return group[:num_players]
        # randomize to other two conditions: name, ctrl
        group = still_waiting_for_task[:num_players]
        if task == 'redistribute_team':
            partner_treatment = next(treatments_solo_tasks['partner_redistribute'])
        else:
            partner_treatment = next(treatments_solo_tasks['partner'])
        for p in group:
            p.participant.vars['partner'] = partner_treatment
            p.cooperate_partner = partner_treatment
        return group


class Group(BaseGroup):
    pass


class Player(BasePlayer):
    cooperate_partner = models.StringField()
    cooperate_partner_name = models.StringField()
    cooperate_decision = models.CurrencyField(
        label=f'Veuillez utiliser un multiple de 0.1 crédit :',
        min=0, max=Constants.endowment, widget=NumberInput(attrs={'step': 0.1}))
    empathy = models.IntegerField()
    timeout = models.BooleanField()

    def set_payoff(self):
        if self.participant.vars.get('unmatched'):
            self.participant.vars['other_cooperate'] = round(uniform(0, 1), 1)
            self.payoff = Constants.endowment - self.cooperate_decision + \
                          self.participant.vars['other_cooperate'] * Constants.multiplier
        else:
            self.payoff = Constants.endowment - self.cooperate_decision + \
                          self.get_others_in_group()[0].cooperate_decision * Constants.multiplier