Yeah

Author: JerryFZhang

Company.csv

@@ -0,0 +1,6 @@
+"CompanyID","companyname","companyIndustry"
+"C001","SDFESDF","IT"
+"C002","DAWR","Electronics"
+"C003","SDFD","IT"
+"C004","F","IT"
+"C005","DFEF","IT"

Company.sql

@@ -0,0 +1,10 @@
+INSERT INTO  Company 
+VALUES ('C001', 'SDFESDF', 'IT');
+INSERT INTO  Company 
+VALUES ('C002', 'DAWR', 'Electronics');
+INSERT INTO  Company 
+VALUES ('C003', 'SDFD', 'IT');
+INSERT INTO  Company 
+VALUES ('C004', 'F', 'IT');
+INSERT INTO  Company 
+VALUES ('C005', 'DFEF', 'IT');

InsertGenerator.py

@@ -1,11 +1,14 @@
-import csv,os,xlrd
-
-file_names = ['User','Country','Movie','Language','Topic','Director','Directs']
+import csv,os,xlrd,pandas
+def sheets_names():
+    xl = pandas.ExcelFile(excel)
+    names = xl.sheet_names
+    for item in names:
+        file_names.append(item)
+    print 'Sheets names were being parsed'
 
 def csv_from_excel():
-    wb = xlrd.open_workbook('project-data.xls')
+    wb = xlrd.open_workbook(excel)
     for item in file_names:
-        print item
         file_names_str = str(item)
         sh = wb.sheet_by_name(file_names_str)
         current_csv = open(file_names_str+'.csv', 'wb')
@@ -15,8 +18,9 @@ def csv_from_excel():
             wr.writerow(sh.row_values(rownum))
 
         current_csv.close()
+    print 'CSV files were created.'
 
-def RepresentsInt(s):
+def check_int(s):
     try:
         float(s)
         return True
@@ -37,15 +41,18 @@ def populate():
     for row in reader:
         temp = []
         for item in row:
-            if RepresentsInt(item):
+            if check_int(item):
                 temp.append(int(float(item)))
             else:
                 temp.append(str(item))
         output_file.write( 'INSERT INTO  %s \nVALUES (%s);\n' %(item_name,listToStringWithoutBrackets(temp)))
-    # print'File %s.sql is populated.' % item_name
+    print'File %s.sql is populated.' % item_name
+
+excel = 'data.xls'
+file_names  = []
 
+sheets_names()
 csv_from_excel()
-print 'exported data'
 for item in file_names:
     item_name = str(item)
     with open(item_name + '.csv', 'rb') as input_file:
@@ -61,3 +68,4 @@ def populate():
                     populate()
             else:
                 populate()
+print '********Execution Complete********'

User.csv

@@ -0,0 +1,6 @@
+"UserID","username","hashedpassword","BirthYear"
+"U001","A","EDD3382A8DC3EEC1128E0F1204FFC24A","1990.0"
+"U002","ABS","CEEE82D7C69FC782A8ABDA645E4B8AA2","1993.0"
+"U003","ABSD","AEAF1F6726389BC3CDCC264FAD846A0D","1999.0"
+"U004","ASBDF","F7AD1B3A0F27E557FC2D8A37E7B837EC","1989.0"
+"U005","SDFEK","C17410EDFD7DE00B371F245134DD53D6","1992.0"

User.sql

@@ -0,0 +1,10 @@
+INSERT INTO  User 
+VALUES ('U001', 'A', 'EDD3382A8DC3EEC1128E0F1204FFC24A', 1990);
+INSERT INTO  User 
+VALUES ('U002', 'ABS', 'CEEE82D7C69FC782A8ABDA645E4B8AA2', 1993);
+INSERT INTO  User 
+VALUES ('U003', 'ABSD', 'AEAF1F6726389BC3CDCC264FAD846A0D', 1999);
+INSERT INTO  User 
+VALUES ('U004', 'ASBDF', 'F7AD1B3A0F27E557FC2D8A37E7B837EC', 1989);
+INSERT INTO  User 
+VALUES ('U005', 'SDFEK', 'C17410EDFD7DE00B371F245134DD53D6', 1992);

test.py

@@ -1,7 +1,7 @@
-import pandas as pd
-xl = pd.ExcelFile('data.xls')
+import pandas
+xl = pandas.ExcelFile('data.xls')
 
-xl.sheet_names  # see all sheet names
-
-xl.parse(sheet_name)
-print sheet_name
+names = xl.sheet_names  # see all sheet names
+file_names  = []
+for item in names:
+    file_names.append(item)