import sys
from PyQt5.QtWidgets import *
import Kiwoom
import time
from pandas import DataFrame
import datetime
import webreader
import numpy as np

MARKET_KOSPI   = 0
MARKET_KOSDAQ  = 10

class PyMon:
    def __init__(self):
        self.kiwoom = Kiwoom.Kiwoom()
        self.kiwoom.comm_connect()
        self.get_code_list()

    def get_code_list(self):
        self.kospi_codes = self.kiwoom.get_code_list_by_market(MARKET_KOSPI)
        self.kosdaq_codes = self.kiwoom.get_code_list_by_market(MARKET_KOSDAQ)

    #현재 날짜를 기준으로 과거 거래일별로 시가, 고가, 저가, 종가, 거래량을 가져오는 메서드 구현
    def get_ohlcv(self, code, start):
        self.kiwoom.ohlcv = {'date': [], 'open': [], 'high': [], 'low': [], 'close': [], 'volume': []}

        self.kiwoom.set_input_value("종목코드", code)
        self.kiwoom.set_input_value("기준일자", start)
        self.kiwoom.set_input_value("수정주가구분", 1)
        self.kiwoom.comm_rq_data("opt10081_req", "opt10081", 0, "0101")
        #0.2초의 간격을 두어 TR 요청 -> 더 늘려도 될 듯...?
        time.sleep(0.5)

        df = DataFrame(self.kiwoom.ohlcv, columns=['open', 'high', 'low', 'close', 'volume'],
                       index=self.kiwoom.ohlcv['date'])
        return df

    #이전 시점의 평균 거래랑을 특정 거래일 이전의 20일 동안의 평균 거래량으로 정의
    #특정 거래일의 거래량이 평균 거래량보다 25% 초과일 때 급등한 것으로 정의
    def check_speedy_rising_volume(self, code):
        today = datetime.datetime.today().strftime("%Y%m%d")
        df = self.get_ohlcv(code, today)
        volumes = df['volume']

        if len(volumes) < 11:
            return False

        sum_vol20 = 0
        today_vol = 0

        for i, vol in enumerate(volumes):
            if i == 0:
                today_vol = vol
            elif 1 <= i <= 10:
                sum_vol20 += vol
            else:
                break

        avg_vol20 = sum_vol20 / 10
        # 25% 초과인지 알아내는 부분, 초과한다면 True
        if today_vol > avg_vol20 * 10:
            return True

    #선정된 종목에 대한 정보 파일로 쓰기
    # 매수전이라고 buylist에 적었기 때문에 다음날 코드를 실행하면 pytrader에서 프로그램 실행.
    def update_buy_list(self, buy_list):
        f = open("buy_list.txt", "wt")
        for code in buy_list:
            f.writelines("매수;%s;시장가;10;0;매수전\n" % (code))
        f.close()

    def run(self):
        buy_list = []
        num = len(self.kosdaq_codes)

        for i, code in enumerate(self.kosdaq_codes):
            print(i, '/', num)
            if self.check_speedy_rising_volume(code):
                buy_list.append(code)

        self.update_buy_list(buy_list)

    def calculate_estimated_dividend_to_treasury(self, code):
        estimated_dividend_yield = webreader.get_estimated_dividend_yield(code)
        print("calculate_estimated_dividend_to_treasury", estimated_dividend_yield)
        if estimated_dividend_yield == 0:
            estimated_dividend_yield = webreader.get_dividend_yield(code)

            if estimated_dividend_yield == "":
                estimated_dividend_yield = 0

        current_3year_treasury = webreader.get_current_3year_treasury()

        estimated_dividend_to_treasury = float(estimated_dividend_yield) / float(current_3year_treasury)
        return estimated_dividend_to_treasury


    def get_min_max_dividend_to_treasury(self, code):
        previous_dividend_yield = webreader.get_previous_dividend_yield(code)
        three_years_treasury = webreader.get_3year_treasury()

        now = datetime.datetime.now()
        cur_year = now.year
        previous_dividend_to_treasury = {}

        for year in range(cur_year-5, cur_year):
            if year in previous_dividend_yield.keys() and year in three_years_treasury.keys():
                ratio = float(previous_dividend_yield[year]) / float(three_years_treasury[year])
                previous_dividend_to_treasury[year] = ratio

        #print(previous_dividend_to_treasury)
        if not previous_dividend_yield:
            return (0, 0)

        min_ratio = min(previous_dividend_to_treasury.values())
        max_ratio = max(previous_dividend_to_treasury.values())

        return (min_ratio, max_ratio)

    def buy_check_by_dividend_algorithm(self, code):
        estimated_dividend_to_treasury = self.calculate_estimated_dividend_to_treasury(code)
        (min_ratio, max_ratio) = self.get_min_max_dividend_to_treasury(code)

        if estimated_dividend_to_treasury >= max_ratio and max_ratio != 0:
            return (1, estimated_dividend_to_treasury)
        else:
            return (0, estimated_dividend_to_treasury)



    def run_dividend(self):
        buy_list = []

        for code in self.kospi_codes[100:150]:
            time.sleep(0.5)
            ret = self.buy_check_by_dividend_algorithm(code)
            if ret[0] == 1:
                buy_list.append((code, ret[1]))

        sorted_list = sorted(buy_list, key=lambda t:t[1], reverse=True)

        buy_list = []
        for i in range(0, 5):
            code = sorted_list[i][0]
            buy_list.append(code)

        self.update_buy_list(buy_list)

if __name__ == "__main__":
    app = QApplication(sys.argv)
    pymon = PyMon()
    pymon.run_dividend()
    #print(pymon.calculate_estimated_dividend_to_treasury('058470'))
    #print(pymon.get_min_max_dividend_to_treasury("058470"))
    #print(pymon.buy_check_by_dividend_algorithm("058470"))