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: # type: 매수는 0 매도는 1 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=2): 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: str, type: int, count: int, price: int, orderNum=None): if self.exist(ymd, stock_code): return False order_df = self.read(ymd) # 새로운 주문을 추가한다. order_df = order_df.append({"stock_code": "A" + stock_code, "type": type, "orderNum": 0, "count": count, "price": price, "datetime": datetime.now()}, ignore_index=True) order_df = order_df.astype({"stock_code": str, "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: str): if not self.exist(ymd, stock_code): return False order_df = self.read(ymd) # 기존 매수 주문을 매도로 변경 한다. order_df.loc[(order_df["stock_code"] == "A" + stock_code, 'type')] = 1 # 파일로 기록 한다. saveFileName = os.path.join(self.RESOURCE_PATH, "order", ymd + ".csv") order_df.to_csv(saveFileName) return True