71 lines
2.4 KiB
Python
71 lines
2.4 KiB
Python
import os
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import pandas as pd
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from datetime import datetime, timedelta
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class OrderChecker:
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RESOURCE_PATH = None
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order_df = None
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def __init__(self, RESOURCE_PATH):
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self.RESOURCE_PATH = RESOURCE_PATH
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return
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def read(self, ymd):
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saveFileName = os.path.join(self.RESOURCE_PATH, "order", ymd + ".csv")
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if os.path.isfile(saveFileName):
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order_df = pd.read_csv(saveFileName)
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else:
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order_df = pd.DataFrame(columns=["datetime", "stock_code", "type", "orderNum", "count", "price"])
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if 'Unnamed: 0' in order_df.columns:
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order_df.drop(['Unnamed: 0'], axis=1, inplace=True)
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order_df = order_df.fillna(0)
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order_df = order_df.astype({"stock_code": int, "type": int, "orderNum": int, "count": int, "price": int})
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order_df['datetime'] = pd.to_datetime(order_df['datetime'])
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return order_df
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def exist(self, ymd, stock_code, hours=4):
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order_df = self.read(ymd)
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try:
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tmp = order_df.loc[order_df["stock_code"] == int(stock_code)]
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now = datetime.now() - timedelta(hours=hours)
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tmp = tmp.loc[now < tmp["datetime"]]
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except:
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return False
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if tmp is None or len(tmp) == 0:
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return False
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return True
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def add(self, ymd, stock_code, type, orderNum, count, price):
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if self.exist(ymd, stock_code):
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return False
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order_df = self.read(ymd)
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# 새로운 주문을 추가한다.
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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)
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order_df = order_df.astype({"stock_code": int, "type": int, "orderNum": int, "count": int, "price": int})
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# 파일로 기록한다.
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saveFileName = os.path.join(self.RESOURCE_PATH, "order", ymd + ".csv")
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order_df.to_csv(saveFileName)
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return True
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def delete(self, ymd, stock_code):
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if not self.exist(ymd, stock_code):
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return False
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order_df = self.read(ymd)
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# 매도 주문을 삭제한다.
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order_df = order_df.loc[(order_df["stock_code"] != stock_code)]
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# 파일로 기록한다.
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saveFileName = os.path.join(self.RESOURCE_PATH, "order", ymd + ".csv")
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order_df.to_csv(saveFileName)
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return True |