mid report

@@ -5,11 +5,10 @@ from urllib.request import urlopen
 import pandas as pd
 import pandas as pd
 import requests
 import requests
 import os
 import os
+import datetime
 
 
 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20141119000000000012_1/'
 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20141119000000000012_1/'
 
 
-number = 0
-
 def makecsvfile(day):
 def makecsvfile(day):
 
 
     # file name setting
     # file name setting
@@ -56,7 +55,7 @@ def makecsvfile(day):
     # 결과 확인을 위한 print
     # 결과 확인을 위한 print
     print(str(day), ' : ', str(i))
     print(str(day), ' : ', str(i))
     # csv 파일로 내보내기
     # csv 파일로 내보내기
-    df.to_csv(os.path.join('./', output_file), encoding='euc-kr', index=False)
+    df.to_csv(os.path.join('./auctiondata', output_file), encoding='euc-kr', index=False)
 
 
 def checkdatanum(day):
 def checkdatanum(day):
     myurl = url +'1/1?AUCNG_DE='+str(day)
     myurl = url +'1/1?AUCNG_DE='+str(day)
@@ -69,10 +68,20 @@ def checkdatanum(day):
     print(day,':',product_num)
     print(day,':',product_num)
     return product_num
     return product_num
 
 
+i = 0
+last_day = datetime.date(2020,4,12)
+first_day = datetime.date(2020,1,1) - datetime.timedelta(days=1)
 
 
-days=[20200413, 20200414, 20200415, 20200416, 20200417, 20200418, 20200412]
+while(first_day < last_day):
+    first_day += datetime.timedelta(days=1)
+    makecsvfile(first_day.strftime('%Y%m%d'))
 
 
+'''
 for day in days:
 for day in days:
-    number += checkdatanum(day)
+    makecsvfile(day)
+
+
+#number += checkdatanum(day)
         
         
-print('week : ', number)
+#print('week : ', number)
+'''
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