diff --git a/py-scripts/sandbox/csv_sqlite.py b/py-scripts/sandbox/csv_sqlite.py
new file mode 100644
index 00000000..b527b734
--- /dev/null
+++ b/py-scripts/sandbox/csv_sqlite.py
@@ -0,0 +1,91 @@
+#!/usr/bin/env python3
+'''
+File: will search sub diretories for kpi.csv and place the data into an sqllite database 
+
+Usage:
+'''
+
+import sys
+if sys.version_info[0] != 3:
+    print("This script requires Python3")
+    exit
+import pandas as pd
+import sqlite3
+import argparse
+from  pathlib import Path
+
+class csv_to_sqlite():
+    def __init__(self,
+                _path = '.',
+                _file = 'kpi.csv',
+                _database = 'test_db'):
+        self.path = _path
+        self.file = _file
+        self.database = _database
+
+    def store(self):
+        print(self.path)
+        path = Path(self.path)
+        print(path)
+        #path = Path('./test_data3')
+        #path = Path('test_data3')
+        #print(path)
+        #quit(1)        
+
+        kpi_list = list(path.glob('**/{}'.format(self.file)))
+        #kpi_list = list(path.glob('**/kpi.csv'))
+        print(kpi_list)
+        print("lenth kpi_list {}".format(len(kpi_list)))
+
+        df = pd.DataFrame()
+
+        for kpi in kpi_list:
+            # load data
+            append_df = pd.read_csv(kpi, sep='\t')
+            df = df.append(append_df, ignore_index=True)
+            #print("df {data}".format(data=df))
+
+        # information on sqlite database
+        # https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.to_sql.html
+
+        print(self.database)
+        conn = sqlite3.connect(self.database) 
+        #conn = sqlite3.connect("qa_db") 
+        #df.to_sql("dp_table",conn,if_exists='append')
+        df.to_sql("dp_table",conn,if_exists='replace')
+        conn.close()
+
+def main():
+
+    parser = argparse.ArgumentParser(
+        prog='csv_sqlite.py',
+        formatter_class=argparse.RawTextHelpFormatter,
+        epilog='''\
+        read kpi.csv into sqlit database:
+            1. Useful Information goes here
+            ''',
+        
+        description='''\
+File: will search path recursivly for kpi.csv and place into sqlite database
+Usage: csv_sqlite.py --path <path> --database <name>
+
+        ''')
+    parser.add_argument('--path', help='--path ./path_to_kpi',required=True)
+    parser.add_argument('--file', help='--file kpi.csv',default='kpi.csv')
+    parser.add_argument('--database', help='--database qa_test_db',default='qa_test_db')
+    
+    args = parser.parse_args()
+
+    __path = args.path
+    __file = args.file
+    __database = args.database
+
+    csv_sqlite = csv_to_sqlite(
+                _path = __path,
+                _file = __file,
+                _database = __database)
+
+    csv_sqlite.store()
+
+if __name__ == '__main__':
+    main()    
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