tr관련 함수 추가

+import logging.handlers
+import sys
+
+# formmater 생성
+formatter = logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s > %(message)s')
+
+# logger 인스턴스를 생성 및 로그 레벨 설정
+logger = logging.getLogger("crumbs")
+logger.setLevel(logging.DEBUG)
+streamHandler = logging.StreamHandler()
+streamHandler.setFormatter(formatter)
+logger.addHandler(streamHandler)
\ No newline at end of file

+import datetime
+from sqlalchemy import *
+import pymysql
+from pandas import DataFrame
+
+import config
+
+class Simulator_Api:
+    def __init__(self,simul_num,op,db_name):
+        self.simul_num=int(simul_num)
+
+        if op=="real":
+            self.op='real'
+            self.simul_reset=False
+            self.db_name=db_name
+            self.set_variable()
+
+    def set_date(self):
+        self.today=datetime.datetime.today().strftime("%Y%m%d")
+
+    def set_variable(self):
+        self.set_date()
+        self.set_database()
+
+        # 매수/매도 알고리즘 선택 -> 차후 알고리즘 별로 구현 및 재설정
+        self.buy_algorithm=1
+        self.sell_algorithm=1
+
+    # 특정 데이터베이스 내에 특정 테이블이 존재하는지 확인하는 함수
+    def is_table_exist(self,db_name,table_name):
+        query="select 1 from information_schema.tables where table_schema='%s' and table_name='%s'"
+        result=self.engine_simul.execute(query%(db_name,table_name)).fetchall()
+        if len(result)==1:
+            return True
+        else:
+            return False
+
+    # 데이터베이스 연결 설정
+    def set_database(self):
+        if self.op=="real":
+            self.engine_simul=create_engine("mysql+pymysql://"+config.db_id+":"+config.db_pw+"@"+config.db_ip+
+                                            ":"+config.db_port+"/"+str(self.db_name),encoding='utf-8')
+        else:
+            self.db_name='simulator'+str(self.simul_num)
+            self.engine_simul=create_engine("mysql+pymysql://"+config.db_id+":"+config.db_pw+"@"+config.db_ip+
+                                            ":"+config.db_port+"/"+str(self.db_name),encoding='utf-8')
+
+        self.engine_daily = create_engine("mysql+pymysql://" + config.db_id + ":" + config.db_pw + "@" + config.db_ip +
+                                          ":" + config.db_port + "/daily_info" , encoding='utf-8')
+        self.engine_stock = create_engine("mysql+pymysql://" + config.db_id + ":" + config.db_pw + "@" + config.db_ip +
+                                          ":" + config.db_port + "/stock_info", encoding='utf-8')
+        self.engine_minute = create_engine("mysql+pymysql://" + config.db_id + ":" + config.db_pw + "@" + config.db_ip +
+                                          ":" + config.db_port + "/minute_info", encoding='utf-8')
+
+        self.conn=pymysql.connect(
+            host=config.db_ip,
+            port=int(config.db_port),
+            user=config.db_id,
+            password=config.db_pw,
+            charset='utf8'
+        )
+
+    # 날짜별 주식 데이터를 저장해 놓은 데이터베이스에서 가장 최근 날짜를 가져오는 함수
+    def get_latest_date(self):
+        query="select table_name from information_schema.tables where table_schema='daily_info' and " \
+              "table_name like '%s' order by table_name desc limit 1"
+        result=self.engine_daily.execute(query%("20%%")).fetchall()
+        if len(result)==0:
+            return False
+        else:
+            return result[0][0]
+
+    # transaction_history 테이블의 Dataframe 생성
+    def df_transaction_history(self):
+        df_temp={'id':[]}
+        self.df_th=DataFrame(df_temp,
+                             columns=['id','order_num','code','code_name','rate','purchase_rate',
+                                      'purchase_price','present_price','valuation_price','valuation_profit',
+                                      'holding_amount','buy_date','total_purchase_price','contract_check','per_invest',
+                                      'sell_date','sell_price','sell_rate'
+                                      ])
+
+    # daily_info 데이터베이스에서 특정 날짜에서 특정 코드에 해당하는 정보만 가져오는 함수수
+    def get_daily_info_by_code(self,code,date):
+        query="select * from {} where code='{}' group by code"
+        daily_info=self.engine_daily.execute(query.format(date,code)).fetchall()
+        df_daily_info=DataFrame(daily_info,
+                                columns=['index','index2','date','check_item','code',
+                                         'code_name','dff_rate',
+                                         'close','open','high','low','volume',
+                                         'avg5','avg10','avg20','avg60','avg120',
+                                         'prev_avg5','prev_avg10','prev_avg20','prev_avg60','prev_avg120',
+                                         'avg5_diff_rate','avg10_diff_rate','avg20_diff_rate','avg60_diff_rate',
+                                         'avg120_diff_rate',
+                                         'vol5','vol10','vol20','vol60','vol120'])
+        return df_daily_info
\ No newline at end of file

+from sqlalchemy import *
+
 from open_api import *
+from daily_info import *
+from stock_info import *
+import config
 
 class CollectorApi():
     def __init__(self):
         self.open_api=OpenApi()
         self.engine_bot=self.open_api.engine_bot
 
+    def set_variable(self):
+        self.open_api.sort="collector"
+        self.stock_info=StockInfo(config.real_bot,config.real_stockInfo,config.real_dailyInofo)
+        self.daily_info=DailyInfo()
+
+    def update_code(self):
+        print("update code")
+        query = "select code_update,jango_data_db_check, possessed_item, today_profit, final_chegyul_check, " \
+              "db_to_buy_list,today_buy_list, daily_crawler , min_crawler, daily_buy_list " \
+              "from setting_data limit 1"
+        result=self.engine_bot.execute(query).fetchall()
+
+        print(result)
+
+        if result[0][0]!=self.open_api.today():
+            self.open_api.check_balance()
+            self.get_code_list()
+
+
+    def set_db_minute_info(self):
+        print("Make Minute Info Database")
+        query="select code,code_name from stock_all"
+        target=self.open_api.engine_dInfo.execute(query).fetchall()
+        print(target)
+
+app = QApplication(sys.argv)
+c=CollectorApi()
+c.update_code()
\ No newline at end of file

@@ -9,5 +9,16 @@ test_account_no="8147766711"
 
 # 시뮬레이션을 돌리기 시작할 날짜
 start_buying='20190101'
-simul_num1=1
-simul_name1="AutoBot"+str(simul_num1)+"_Test"
+
+test_num=1
+test_bot_name="AutoBot"+str(test_num)+"_Test"
+
+# 실전투자 정보
+real_account_no=""
+
+real_num=1
+
+# 데이터베이스 이름
+real_bot_name="AutoBot"+str(real_num)
+real_stockInfo_name="stock_info"
+real_dailyInfo_name="daily_info"
\ No newline at end of file

+from sqlalchemy import *
+from PyQt5.QtCore import *
+import datetime
+
+import config
+
 class StockInfo():
-    def __init__(self):
+    def __init__(self,db_name,stock_info_name,daily_info_name):
+        if db_name!=0:
+            self.db_name=db_name
+            self.stockInfo_name=stock_info_name
+            self.dailyInfo_name=daily_info_name
+
+            self.engine=create_engine(
+                "mysql+pymysql://" + config.db_id + ":" + config.db_pw + "@" + config.db_ip + ":" + config.db_port +
+                "/stock_info", encoding='utf-8')
+            self.conn=self.engine.connect()
+
+            self.set_variable()
+
+    # 변수 설정
+    def set_variable(self):
+        self.mkt_start_time=QTime(9,0,0)
+        self.mkt_end_time=QTime(15,31,0)
+
+        self.today=datetime.datetime.today().strftime("%Y%m%d")
+
+    # 현재 시간이 주식장이 열린 시간인지 확인하는 함수
+    def time_check(self):
+        self.current_time=QTime.currentTime()
+        if (self.current_time>self.mkt_start_time and self.current_time<self.mkt_end_time):
+            return True
+        else:
+            return False
\ No newline at end of file