from otree.api import *
import time
import random


doc = "Double auction market"


class C(BaseConstants):
    NAME_IN_URL = 'double_auction'
    PLAYERS_PER_GROUP = 16
    NUM_ROUNDS = 15
    ITEMS_PER_SELLER = random.randint(0, 4)
    dividend = random.randint(1, 4)*10
    VALUATION = cu(dividend)
    ECU = 10000



class Subsession(BaseSubsession):
    pass


def creating_session(subsession: Subsession):
    players = subsession.get_players()
    for p in players:
            p.num_items = C.ITEMS_PER_SELLER
            p.dividend = C.VALUATION
            p.cash = C.ECU



class Group(BaseGroup):
    start_timestamp = models.IntegerField()


class Player(BasePlayer):
    cash = models.CurrencyField()
    dividend = models.CurrencyField()
    num_items = models.IntegerField()


class Transaction(ExtraModel):
    group = models.Link(Group)
    price = models.CurrencyField()
    seconds = models.IntegerField(doc="Timestamp (seconds since beginning of trading)")


def find_match(buyers, sellers):
    p.is_buyer = p.
    for buyer in buyers:
        for seller in sellers:
            if seller.num_items > 0 and seller.current_offer <= buyer.current_offer:
                # return as soon as we find a match (the rest of the loop will be skipped)
                return [buyer, seller]


def live_method(player: Player, data):
    group = player.group
    players = group.get_players()
    buyers = [p for p in players if p.is_buyer]
    sellers = [p for p in players if not p.is_buyer]
    news = None
    if data:
        offer = int(data['offer'])
        player.current_offer = offer
        if player.is_buyer:
            match = find_match(buyers=[player], sellers=sellers)
        else:
            match = find_match(buyers=buyers, sellers=[player])
        if match:
            [buyer, seller] = match
            price = buyer.current_offer
            Transaction.create(
                group=group,
                buyer=buyer,
                seller=seller,
                price=price,
                seconds=int(time.time() - group.start_timestamp),
            )
            buyer.num_items += 1
            seller.num_items -= 1
            buyer.payoff += buyer.break_even_point - price
            seller.payoff += price - seller.break_even_point
            buyer.current_offer = 0
            seller.current_offer = C.VALUATION_MAX + 1
            news = dict(buyer=buyer.id_in_group, seller=seller.id_in_group, price=price)

    bids = sorted([p.current_offer for p in buyers if p.current_offer > 0], reverse=True)
    asks = sorted([p.current_offer for p in sellers if p.current_offer <= C.VALUATION_MAX])
    highcharts_series = [[tx.seconds, tx.price] for tx in Transaction.filter(group=group)]

    return {
        p.id_in_group: dict(
            num_items=p.num_items,
            current_offer=p.current_offer,
            payoff=p.payoff,
            bids=bids,
            asks=asks,
            highcharts_series=highcharts_series,
            news=news,
        )
        for p in players
    }


# PAGES
class Questionnaire(Page):
    pass

class WaitToStart(WaitPage):
    @staticmethod
    def after_all_players_arrive(group: Group):
        group.start_timestamp = int(time.time())


class PreTradingChat(Page):
    pass


class Trading(Page):
    live_method = live_method

    @staticmethod
    def js_vars(player: Player):
        return dict(id_in_group=player.id_in_group, is_buyer=player.is_buyer)

    @staticmethod
    def get_timeout_seconds(player: Player):
        import time

        group = player.group
        return (group.start_timestamp + 3 * 60) - time.time()


class ResultsWaitPage(WaitPage):
    pass


class Results(Page):
    pass


page_sequence = [Questionnaire, PreTradingChat, Trading, ResultsWaitPage, Results]