import os
import pandas as pd
from datetime import datetime, timedelta


class OrderChecker:
    RESOURCE_PATH = None
    order_df = None
    TYPE = None

    def __init__(self, RESOURCE_PATH, type=""):
        self.RESOURCE_PATH = RESOURCE_PATH
        self.TYPE = type
        return

    def read(self, ymd):
        saveFileName = os.path.join(self.RESOURCE_PATH, "order", self.TYPE+"_"+ymd + ".csv")

        if os.path.isfile(saveFileName):
            order_df = pd.read_csv(saveFileName)
        else:
            # (type) buy=0, sell=1
            order_df = pd.DataFrame(columns=["datetime", "stock_code", "type", "orderNum", "canceled", "count", "price"])

        if 'Unnamed: 0' in order_df.columns:
            order_df.drop(['Unnamed: 0'], axis=1, inplace=True)
        order_df = order_df.fillna(0)
        order_df = order_df.astype({"stock_code": str, "type": int, "orderNum": str, "canceled": int, "count": int, "price": int})
        order_df['datetime'] = pd.to_datetime(order_df['datetime'])
        return order_df

    def exist(self, ymd, stock_code, mins=30):
        order_df = self.read(ymd)
        if order_df != None and len(order_df)>0:
            tmp = order_df.loc[order_df["stock_code"] == stock_code]
            now = datetime.now() - timedelta(minutes=mins)
            tmp = tmp.loc[now < tmp["datetime"]]
            if tmp is not None and len(tmp) > 0:
                return True

        return False

    def buy(self, ymd, stock_code: str, count: int, price: int, orderNum=""):

        order_df = self.read(ymd)

        # 새로운 주문을 추가한다.
        order_df = order_df.append({"stock_code": stock_code, "type": 0, "orderNum": str(orderNum), "canceled": 0, "count": count,
             "price": price, "datetime": datetime.now()}, ignore_index=True)
        order_df = order_df.astype({"stock_code": str, "type": int, "orderNum": str, "canceled": int, "count": int, "price": int})

        # 파일로 기록한다.
        saveFileName = os.path.join(self.RESOURCE_PATH, "order", self.TYPE+"_"+ymd + ".csv")
        order_df.to_csv(saveFileName)

        return True

    def sell(self, ymd, stock_code: str):

        order_df = self.read(ymd)

        # 기존 매수 주문을 매도로 변경 한다.
        order_df.loc[(order_df["stock_code"] == stock_code, 'type')] = 1

        # 파일로 기록 한다.
        saveFileName = os.path.join(self.RESOURCE_PATH, "order", self.TYPE+"_"+ymd + ".csv")
        order_df.to_csv(saveFileName)

        return True

    def cancel(self, ymd, stock_code, ORDER_LIST, mins=10):

        orderListToCancel = []
        order_df = self.read(ymd)

        if len(order_df) > 0:
            now = datetime.now() - timedelta(minutes=mins)
            # min 분 이상 된 시간인 내용을 가지고 옴
            df = order_df.loc[(order_df["datetime"] <= now)]
            # 취소가 되지 않은 것만 가지고 옴 (0: 취소 되지 않음, 1: 취소함)
            df = df.loc[(order_df["canceled"] == 0)]

            for i in range(len(df)):
                order_df.loc[(order_df['stock_code']==stock_code) & (order_df.index == df.index[i]), 'canceled'] = 1

            saveFileName = os.path.join(self.RESOURCE_PATH, "order", self.TYPE+"_"+ymd + ".csv")
            order_df.to_csv(saveFileName, index=False)

            if ORDER_LIST is not None and len(ORDER_LIST) > 0:
                orderNumSet = set(list(df["orderNum"]))
                for item in ORDER_LIST:
                    if item.orderNum in orderNumSet:
                        orderListToCancel.append(item)

        return orderListToCancel