import os
from datetime import datetime, timedelta
import pandas as pd
import plotly.graph_objects as go
import plotly

from hts.BuySellChecker import BuySellChecker

class WebViewer:

    buySellChecker = None

    def __init__(self):
        self.buySellChecker = BuySellChecker()
        return

    def getCSV(self, type, fileName, given_day, result):
        data = pd.read_csv(fileName)

        days = data.날짜
        time = data.시간
        open = data.시가
        close = data.종가
        high = data.고가
        low = data.저가
        vol = data.거래량
        start_time = datetime.strptime(given_day + " 090000", '%Y%m%d %H%M%S')

        for i in range(len(data)):
            if type == "S":
                temp = datetime.strptime(str(days[i]) + " " + str(time[i]).zfill(4), '%Y%m%d %H%M%S')
            else:
                temp = datetime.strptime(str(days[i]) + " " + str(time[i]).zfill(4) + "00", '%Y%m%d %H%M%S')
            if temp < start_time:
                continue

            if temp not in result["check"]:
                result["check"].add(temp)
                result["time"].append(temp)
                result["open"].append(open[i])
                result["close"].append(close[i])
                result["high"].append(high[i])
                result["low"].append(low[i])
                result["vol"].append(vol[i])
        return

    def checkTransaction(self, data):
        size = len(data["close"])

        bsLine = {}
        bsLine['buy'] = [-1 for i in range(size)]
        bsLine['weight'] = [-1 for i in range(size)]
        bsLine['sell'] = [-1 for i in range(size)]

        for i in range(6, size-5):
            if self.stock_code == "252670":
                buy, weight, sell = self.buySellChecker.getPriceAndWeight1(data, i)
            else:
                buy, weight, sell = self.buySellChecker.getPriceAndWeight2(data, i)
            bsLine['buy'][i] = buy
            bsLine['weight'][i] = weight
            bsLine['sell'][i] = sell

        return bsLine

    def draw(self, stock_code, given_day, data):

        data['open'] = pd.to_numeric(data['open'])
        data['high'] = pd.to_numeric(data['high'])
        data['low'] = pd.to_numeric(data['low'])
        data['close'] = pd.to_numeric(data['close'])


        # 그래프를 설정한다.
        bolinger_upper = go.Scatter(x=data['date'], y=data["upper"], name="upper", line_color='#8B4513')
        bolinger_lower = go.Scatter(x=data['date'], y=data["lower"], name="lower", line_color='#8B4513')
        candle_stick = go.Candlestick(x=data['date'], open=data['open'], high=data['high'], low=data['low'], close=data['close'], increasing_line_color='red', decreasing_line_color='blue')
        buy_check = go.Scatter(x=data['date'], mode='markers', name="buy_check")
        candle_data = [candle_stick, bolinger_upper, bolinger_lower, buy_check]

        # 그래프를 그린다.
        # mothod #1
        fig = go.FigureWidget(data=candle_data)
        fig.update_layout(height=800, title=stock_code + "_" + given_day)
        fig.show()
        #plotly.offline.plot(fig, filename='file.html')
        """ # mothod #2
        fig = subplots.make_subplots(rows=1, cols=1, subplot_titles=('캔들'))
        for trace in candle_data:
            fig.append_trace(trace, 1, 1)
        fig.update_layout(height=800, title=stock_code + "_" + given_day)
        fig.show()
        """

        return

    def simulate(self, stock_code, type, GIVEN_DAY, IN_DIR, OUT_DIR, fileName):
        result = {"check": set(),
                  "time": [],
                  "open": [],
                  "close": [],
                  "high": [],
                  "low": [],
                  "vol": []}

        # 데이터를 가지고 온다.
        self.getCSV(type, IN_DIR+"/"+fileName, GIVEN_DAY, result)

        # 분석을 통해서 볼린저밴드 상/하단을 계산한다.
        data = self.buySellChecker.analyze(result)

        # 그래프를 그린다.
        self.draw(stock_code, GIVEN_DAY, data)

        return

if __name__ == "__main__":

    PROJECT_HOME = os.path.join(os.path.dirname(os.path.join(os.path.dirname(os.path.join(os.path.dirname(__file__))))))
    RSC_DIR = PROJECT_HOME + "/resources"
    IN_DIR = RSC_DIR + "/raw"
    OUT_DIR = RSC_DIR + "/tagging"

    stock_code = "252670"
    #stock_code = "122630"
    start_date = "20220602"

    webViewer = WebViewer()
    zero_count_m, zero_count_S = 0, 10
    for i in range(100000):
        given_day = datetime.strptime(start_date, '%Y%m%d') - timedelta(i)
        given_day = given_day.strftime('%Y%m%d')

        """
        if zero_count_S < 10:
            type = "S"
            fileName = stock_code + "_" + given_day + "_" + type + ".csv"
            if not os.path.isfile(IN_DIR+"/"+fileName):
                zero_count_S += 1
            else:
                zero_count_S = 0
                webViewer.simulate(stock_code, type, given_day, IN_DIR, OUT_DIR, fileName)
        """
        if zero_count_m < 10:
            type = "m"
            fileName = stock_code + "_" + given_day + "_" + type + ".csv"
            if not os.path.isfile(IN_DIR + "/" + fileName):
                zero_count_m += 1
            else:
                zero_count_m = 0
                webViewer.simulate(stock_code, type, given_day, IN_DIR, OUT_DIR, fileName)

        if zero_count_m > 10 and zero_count_S >  10:
            break
    print ("done...")