2020-1-capstone-design2 / 2015101793

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e4fd75db 1 parent 16ccdb0d

면담확인서 업데이트

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Showing 8 changed files with 18 additions and 23 deletions
...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup ...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup
4 from urllib.request import urlopen 4 from urllib.request import urlopen
5 import pandas as pd 5 import pandas as pd
6 import requests 6 import requests
7 -import os 7 +import os, sys
8 import datetime 8 import datetime
9 9
10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160624000000000348_1/' 10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160624000000000348_1/'
...@@ -46,7 +46,7 @@ def makecsvfile(day): ...@@ -46,7 +46,7 @@ def makecsvfile(day):
46 # if result is fine 46 # if result is fine
47 items = soup.find_all('row') 47 items = soup.find_all('row')
48 for item in items: 48 for item in items:
49 - df.loc[i] = [item.row_num.string, item.aucng_de.string, item.pblmng_whsal_mrkt_nm.string, item.pblmng_whsal_mrkt_cd.string, item.cpr_nm.string, item.cpr_cd.string, item.prdlst_nm.string, item.prdlst_cd.string, item.spcies_nm.string, item.spcies_cd.string, item.delngbundle_qy.string, item.stndrd.string, item.stndrd_cd.string, item.grad.string, item.grad_cd.string, item.mumm_amt.string, item.avrg_amt.string, item.mxmm_amt.string, item.delng_qy.string, item.cnts.string] 49 + df.loc[i] = [item.row_num.string, item.aucng_de.string, item.pblmng_whsal_mrkt_nm.string, item.pblmng_whsal_mrkt_cd.string, item.cpr_nm.string, item.cpr_cd.string, item.prdlst_nm.string, item.prdlst_cd.string, item.spcies_nm.string, item.spcies_cd.string, item.delngbundle_qy.string, item.stndrd.string, item.stndrd_cd.string, item.grad.string, item.grad_cd.string, item.sanji_cd.string, item.sanji_nm.string, item.mumm_amt.string, item.avrg_amt.string, item.mxmm_amt.string, item.delng_qy.string, item.cnts.string]
50 i += 1 50 i += 1
51 51
52 # 다음 1000개 52 # 다음 1000개
...@@ -69,19 +69,10 @@ def checkdatanum(day): ...@@ -69,19 +69,10 @@ def checkdatanum(day):
69 return product_num 69 return product_num
70 70
71 i = 0 71 i = 0
72 -last_day = datetime.date(2020,4,12) 72 +first_day = datetime.date(2020,4,8) - datetime.timedelta(days=1)
73 -first_day = datetime.date(2020,1,1) - datetime.timedelta(days=1) 73 +last_day = datetime.date(2020,4,30)
74 -
75 while(first_day < last_day): 74 while(first_day < last_day):
76 first_day += datetime.timedelta(days=1) 75 first_day += datetime.timedelta(days=1)
77 - makecsvfile(first_day.strftime('%Y%m%d')) 76 + makecsvfile(first_day.strftime("%Y%m%d"))
78 -
79 -'''
80 -for day in days:
81 - makecsvfile(day)
82 77
83 -
84 -#number += checkdatanum(day)
85 -
86 -#print('week : ', number)
87 -'''
...\ No newline at end of file ...\ No newline at end of file
78 +sys.modules[__name__].__dict__.clear()
...\ No newline at end of file ...\ No newline at end of file
......
File mode changed
...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup ...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup
4 from urllib.request import urlopen 4 from urllib.request import urlopen
5 import pandas as pd 5 import pandas as pd
6 import requests 6 import requests
7 -import os 7 +import os, sys
8 import datetime 8 import datetime
9 9
10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160722000000000352_1/' 10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160722000000000352_1/'
...@@ -17,7 +17,7 @@ def makecsvfile(day): ...@@ -17,7 +17,7 @@ def makecsvfile(day):
17 17
18 # dataframe 생성 18 # dataframe 생성
19 ########################## data column 변경 필수 ################################ 19 ########################## data column 변경 필수 ################################
20 - df = pd.DataFrame(columns=['ROW_NUM','EXAMIN_DE','EXAMIN_SE_NM','EXAMIN_SE_CODE','EXAMIN_AREA_NAME','EXAMIN_AREA_CODE','EXAMIN_MRKT_NM'.'EXAMIN_MRKT_CODE','STD_MRKT_NM','STD_MRKT_CODE','EXAMIN_PRDLST_NM','EXAMIN_PRDLST_CODE','EXAMIN_SPCIES_NM','EXAMIN_SPCIES_CODE','STD_LCLAS_NM','STD_LCLAS_CO','STD_PRDLST_NM','STD_PRDLST_CODE','STD_SPCIES_NM','STD_SPCIES_CODE','EXAMIN_UNIT_NM','EXAMIN_UNIT','STD_UNIT_NM','STD_UNIT_CODE','EXAMIN_GRAD_NM','EXAMIN_GRAD_CODE','STD_GRAD_NM','STD_GRAD_CODE','TODAY_PRIC','BFRT_PRIC','IMP_TRADE','TRADE_AMT']) 20 + df = pd.DataFrame(columns=['row_num','examin_de','examin_se_nm','examin_se_code','examin_area_name','examin_area_code','examin_mrkt_nm','examin_mrkt_code','std_mrkt_nm','std_mrkt_code','EXAMIN_PRDLST_NM','EXAMIN_PRDLST_CODE','EXAMIN_SPCIES_NM','EXAMIN_SPCIES_CODE','STD_LCLAS_NM','STD_LCLAS_CO','STD_PRDLST_NM','STD_PRDLST_CODE','STD_SPCIES_NM','STD_SPCIES_CODE','EXAMIN_UNIT_NM','EXAMIN_UNIT','STD_UNIT_NM','STD_UNIT_CODE','EXAMIN_GRAD_NM','EXAMIN_GRAD_CODE','STD_GRAD_NM','STD_GRAD_CODE','TODAY_PRIC','BFRT_PRIC','IMP_TRADE','TRADE_AMT'])
21 21
22 # 기본 number setting 22 # 기본 number setting
23 i = 0 # 날짜별 row 23 i = 0 # 날짜별 row
...@@ -49,7 +49,7 @@ def makecsvfile(day): ...@@ -49,7 +49,7 @@ def makecsvfile(day):
49 items = soup.find_all('row') 49 items = soup.find_all('row')
50 for item in items: 50 for item in items:
51 ########################################## data column change ########################################## 51 ########################################## data column change ##########################################
52 - df.loc[i] = [item.row_num.string,itme.EXAMIN_DE.string,item.EXAMIN_SE_NM.string,item.EXAMIN_SE_CODE.string,item.EXAMIN_AREA_NAME.string,item.EXAMIN_AREA_CODE.string,item.EXAMIN_MRKT_NM.string,item.EXAMIN_MRKT_CODE.string,item.STD_MRKT_NM.string,item.STD_MRKT_CODE.string,item.EXAMIN_PRDLST_NM.string,item.EXAMIN_PRDLST_CODE.string,item.EXAMIN_SPCIES_NM.string,item.EXAMIN_SPCIES_CODE.string,item.STD_LCLAS_NM.string,item.STD_LCLAS_CO.string,item.STD_PRDLST_NM.string,item.STD_PRDLST_CODE.string,item.STD_SPCIES_NM.string,item.STD_SPCIES_CODE.string,item.EXAMIN_UNIT_NM.string,item.EXAMIN_UNIT.string,item.STD_UNIT_NM.string,item.STD_UNIT_CODE.string,item.EXAMIN_GRAD_NM.string,item.EXAMIN_GRAD_CODE.string,item.STD_GRAD_NM.string,item.STD_GRAD_CODE.string,item.TODAY_PRIC.string,item.BFRT_PRIC.string,item.IMP_TRADE.string,item.TRADE_AMT.string] 52 + df.loc[i] = [item.row_num.string,item.EXAMIN_DE.string,item.EXAMIN_SE_NM.string,item.EXAMIN_SE_CODE.string,item.EXAMIN_AREA_NAME.string,item.EXAMIN_AREA_CODE.string,item.EXAMIN_MRKT_NM.string,item.EXAMIN_MRKT_CODE.string,item.STD_MRKT_NM.string,item.STD_MRKT_CODE.string,item.EXAMIN_PRDLST_NM.string,item.EXAMIN_PRDLST_CODE.string,item.EXAMIN_SPCIES_NM.string,item.EXAMIN_SPCIES_CODE.string,item.STD_LCLAS_NM.string,item.STD_LCLAS_CO.string,item.STD_PRDLST_NM.string,item.STD_PRDLST_CODE.string,item.STD_SPCIES_NM.string,item.STD_SPCIES_CODE.string,item.EXAMIN_UNIT_NM.string,item.EXAMIN_UNIT.string,item.STD_UNIT_NM.string,item.STD_UNIT_CODE.string,item.EXAMIN_GRAD_NM.string,item.EXAMIN_GRAD_CODE.string,item.STD_GRAD_NM.string,item.STD_GRAD_CODE.string,item.TODAY_PRIC.string,item.BFRT_PRIC.string,item.IMP_TRADE.string,item.TRADE_AMT.string]
53 i += 1 53 i += 1
54 54
55 # 다음 1000개 55 # 다음 1000개
...@@ -74,9 +74,11 @@ def checkdatanum(day): ...@@ -74,9 +74,11 @@ def checkdatanum(day):
74 74
75 i = 0 75 i = 0
76 ##################################### 시작일 & 종료일 변경 ############################################ 76 ##################################### 시작일 & 종료일 변경 ############################################
77 -last_day = datetime.date(2020,4,30) 77 +last_day = datetime.date(2020,3,31)
78 -first_day = datetime.date(2020,4,15) - datetime.timedelta(days=1) 78 +first_day = datetime.date(2020,3,1) - datetime.timedelta(days=1)
79 79
80 while(first_day < last_day): 80 while(first_day < last_day):
81 first_day += datetime.timedelta(days=1) 81 first_day += datetime.timedelta(days=1)
82 makecsvfile(first_day.strftime('%Y%m%d')) 82 makecsvfile(first_day.strftime('%Y%m%d'))
83 +
84 +sys.modules[__name__].__dict__.clear()
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......
...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup ...@@ -4,7 +4,7 @@ from bs4 import BeautifulSoup
4 from urllib.request import urlopen 4 from urllib.request import urlopen
5 import pandas as pd 5 import pandas as pd
6 import requests 6 import requests
7 -import os 7 +import os, sys
8 import datetime 8 import datetime
9 9
10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160624000000000349_1/' 10 url = 'http://211.237.50.150:7080/openapi/5e5e94876b673efe7161d3240516d65476da16210a391a9d6f31224c54a1fdaf/xml/Grid_20160624000000000349_1/'
...@@ -74,9 +74,11 @@ def checkdatanum(day): ...@@ -74,9 +74,11 @@ def checkdatanum(day):
74 74
75 i = 0 75 i = 0
76 ##################################### 시작일 & 종료일 변경 ############################################ 76 ##################################### 시작일 & 종료일 변경 ############################################
77 -last_day = datetime.date(2020,4,30) 77 +last_day = datetime.date(2019,3,31)
78 -first_day = datetime.date(2020,4,15) - datetime.timedelta(days=1) 78 +first_day = datetime.date(2019,1,1) - datetime.timedelta(days=1)
79 79
80 while(first_day < last_day): 80 while(first_day < last_day):
81 first_day += datetime.timedelta(days=1) 81 first_day += datetime.timedelta(days=1)
82 makecsvfile(first_day.strftime('%Y%m%d')) 82 makecsvfile(first_day.strftime('%Y%m%d'))
83 +
84 +sys.modules[__name__].__dict__.clear()
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......
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