增加监测进程数量

QMT/qmt_get_macd.py → QMT/qmt_get_indicators.py

@@ -190,10 +190,10 @@ def get_hlfx(data):
 
 
 def tech_anal(stocks, hlfx_pool):
-
+    print(f'{dt.now()}开始循环计算！ MyPid is {os.getpid()}')
     engine_tech = create_engine('mysql+pymysql://root:r6kEwqWU9!v3@localhost:3307/qmt_stocks_tech?charset=utf8')
     m = 0
-    print(f'{dt.now()}开始循环计算！ MyPid is {os.getpid()}')
+
     for stock in stocks:
         try:
             df = pd.read_sql_table('%s_1d' % stock, con=engine)
@@ -223,7 +223,8 @@ def tech_anal(stocks, hlfx_pool):
             else:
                 print(f"{stock} 成功！")
                 m += 1
-    print(f'Pid：{os.getpid()}已经完工了，应处理{len(stocks)},共计算{m}支个股')
+
+    # print(f'Pid：{os.getpid()}已经完工了，应处理{len(stocks)},共计算{m}支个股')
 
 
 if __name__ == '__main__':
@@ -241,8 +242,12 @@ if __name__ == '__main__':
     pool = mp.Pool(processes=mp.cpu_count())
     step = math.ceil(len(stocks) / mp.cpu_count())
     # step = 10000
+    x = 1
     for i in range(0, len(stocks), step):
-        pool.apply_async(func=tech_anal, args=(stocks[i:i + step], hlfx_pool,), error_callback=err_call_back)
+        print(x)
+        pool.apply_async(func=tech_anal, args=(stocks[i:i + step], hlfx_pool, ), error_callback=err_call_back)
+        x += 1
+    time.sleep(5)
     pool.close()
     pool.join()