init

Bithumb.py

@@ -18,7 +18,6 @@ class Bithumb(HTS):
     RESOURCE_PATH = None
     buySellChecker = None
     analyzerSqlite = None
-    log_filename = None
 
     def __init__(self, RESOURCE_PATH):
         super().__init__(RESOURCE_PATH)
@@ -33,8 +32,6 @@ class Bithumb(HTS):
         self.buySellChecker = BuySellChecker()
         self.analyzerSqlite = AnalyzerSqlite()
 
-        self.log_filename = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb', 'transaction.json')
-
         return
 
     def bull_market(self, df, ticker):
@@ -413,6 +410,17 @@ class Bithumb(HTS):
     def getBalance(self, ticker):
         tmp = self.bithumb.get_balance(ticker)
         return tmp[2]
+
+    def exist_buy(self, ticker, log_filename):
+        log_file = open('data.csv', 'r', )
+        reader = csv.reader(log_file)
+        for line in reader:
+            if line[2] == ticker:
+                log_file.close()
+                return True
+        log_file.close()
+        return False
+
     def buyRealTime(self, ticker, isRealTime=False):
 
         stock = {"CODE": ticker, "NAME": ticker, "PRICE": []}
@@ -436,14 +444,16 @@ class Bithumb(HTS):
 
         # 그래프를 그린다.
         if len(data.index) > 10:
-            if not isRealTime:
+            today = datetime.today().strftime('%Y%m%d')
+            log_filename = os.path.join(RESOURCE_PATH, 'analysis', 'bithumb', today + '.log')
+            if not isRealTime and self.exist_buy(ticker, log_filename):
                 if max(bsLine['buy'][len(bsLine['buy']) - 2:]) > 100:
                     balance = self.getBalance(ticker)
                     count = int(balance * (bsLine['buy_weight'][len(bsLine['buy_weight'])-1]/100))
                     order = self.bithumb.buy_limit_order(ticker, bsLine['buy'][len(bsLine['buy'])-1], count)
                     # order: ('bid', 'BTC', 'C0101000000322993432', 'KRW')
 
-                    with open(self.log_filename, 'a', newline='') as log_file:
+                    with open(log_filename, 'a', newline='', encoding='utf-8') as log_file:
                         wr = csv.writer(log_file)
                         wr.writerow([datetime.now().strftime('%Y-%m-%d %H:%M:%S'), order[0], order[1], order[2], order[3]])
             else: