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

class OrderChecker:

    RESOURCE_PATH = None
    order_df = None

    def __init__(self, RESOURCE_PATH):
        self.RESOURCE_PATH = RESOURCE_PATH
        return

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

        if os.path.isfile(saveFileName):
            order_df = pd.read_csv(saveFileName)
        else:
            order_df = pd.DataFrame(columns=["datetime", "stock_code", "type", "orderNum", "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": int, "type": int, "orderNum": int, "count": int, "price": int})
        order_df['datetime'] = pd.to_datetime(order_df['datetime'])
        return order_df

    def exist(self, ymd, stock_code, hours=3):
        order_df = self.read(ymd)
        try:
            tmp = order_df.loc[order_df["stock_code"] == int(stock_code)]
            now = datetime.now() - timedelta(hours=hours)
            tmp = tmp.loc[now < tmp["datetime"]]
        except:
            return False

        if tmp is None or len(tmp) == 0:
            return False
        return True

    def add(self, ymd, stock_code, type, orderNum, count, price):
        if self.exist(ymd, stock_code):
            return False

        order_df = self.read(ymd)

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

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

        return True

    def delete(self, ymd, stock_code):
        if not self.exist(ymd, stock_code):
            return False

        order_df = self.read(ymd)

        # 매도 주문을 삭제한다.
        order_df = order_df.loc[(order_df["stock_code"] != stock_code)]

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

        return True