import transaction


class Config:
	LIST_SIZE=20
	INITIAL_LIMIT=5
	FAST_SD=0.75
	FAST_UP=0.05
	FAST_DOWN=0.05
	SLOW_SD=0.2
	SLOW_UP=0.4
	SLOW_DOWN=0.4
	TIME_LIMIT=6
	TIME_DOWN=0.02
	IGNORE_PRICE=50000


class DataChecker:
	def __init__(self, **kwargs):
		self.tr_list = []
		self.condition_limit = Config.INITIAL_LIMIT
		self.condition_cnt = 0
		self.type = 'bid'

	def add(self, tr: transaction.Transaction):
		if len(self.tr_list) >= Config.LIST_SIZE:
			self.tr_list = self.tr_list[1:]
		self.tr_list.append(tr)

		avg = sum(tr.price for tr in self.tr_list) / len(self.tr_list)
		variance = sum((tr.price-avg)**2 for tr in self.tr_list) / len(self.tr_list)
		sd = variance**0.5

		if sd >= Config.FAST_SD:
			if tr.price >= avg:
				self.condition_limit += Config.FAST_UP
			else:
				self.condition_limit -= Config.FAST_DOWN
		else:
			if tr.price >= avg:
				self.condition_limit += Config.SLOW_UP
			else:
				self.condition_limit -= Config.SLOW_DOWN

		if self.type == tr.type:
			self.condition_cnt += 1
		else:
			self.condition_cnt = 0

		buy_or_sell = False
		if self.condition_cnt >= self.condition_limit:
			buy_or_sell = True
			self.type = 'ask' if self.type == 'bid' else 'ask'
			self.condition_cnt = 0
			self.condition_limit = Config.INITIAL_LIMIT

		print('{} {:.2f} {:.2f} {:.2f} {} ({}) {}'.format(tr, avg, sd, self.condition_limit, self.condition_cnt, self.type, 'action!' if buy_or_sell else ''))