Migrating Excel data to SQLite using Python

In a previous post, I described how I designed a SQLite relational database from an Excel table. It was a small example, so I hardcoded the data into the Python script. For my actual problem, I need to convert my Excel data into a SQLite database automatically. To do this, I used the win32com module and the sqlite3 module included in Python 2.5.

Here is the table from my previous post. It shows some variables in in my C program. It shows the variable name, type, the module it belongs to, and a short description. Here is the table from my previous post. It shows some variables in in my C program. It shows the variable name, type, the module it belongs to, and a short description.

After installing the win32com module from http://sourceforge.net/project/platformdownload.php?group_id=78018, I used the following code.

import os
import sqlite3
from win32com.client import constants, Dispatch

#----------------------------------------
# get data from excel file
#----------------------------------------
XLS_FILE = os.getcwd() + "\\example.xls"
ROW_SPAN = (14, 21)
COL_SPAN = (2, 7)
app = Dispatch("Excel.Application")
app.Visible = True
ws = app.Workbooks.Open(XLS_FILE).Sheets(1)
exceldata = [[ws.Cells(row, col).Value 
              for col in xrange(COL_SPAN[0], COL_SPAN[1])] 
             for row in xrange(ROW_SPAN[0], ROW_SPAN[1])]

#----------------------------------------
# create SQL table and fill it with data
#----------------------------------------
conn = sqlite3.connect('example.db')
c = conn.cursor()
c.execute('''CREATE TABLE exceltable (
   id INTEGER,
   name TEXT,
   module TEXT,
   type TEXT,
   desc TEXT
)''')
for row in exceldata:
    c.execute('INSERT INTO exceltable VALUES (?,?,?,?,?)', row)
conn.commit()

#----------------------------------------
# display SQL data
#----------------------------------------
c.execute('SELECT * FROM exceltable')
for row in c:
    print row

The Excel filename is example.xls and the table data begins at B14 (2nd column, 14th row) and ends at F20 (6th column, 20th row) in Sheet 1. The script uses a declarative approach to store the data in a Python list of lists. It creates a SQLite database named example.db and creates a connection to it. It then fills the database using the Python list data structure. Finally, it displays the newly created database. The screen output is shown below.

(1, u'foo', u'ModuleExt', u'double', u'Description of foo')
(2, u'bar', u'ModuleExt', u'double', u'Description of bar')
(3, u'knark', u'Module1', u'int', u'Description of knark')
(4, u'wert', u'Module1', u'double', u'Description of wert')
(5, u'jib', u'Module1', u'double', u'Description of jib')
(6, u'laz', u'Module2', u'double', u'Description of laz')
(7, u'kew', u'Module2', u'double', u'Description of kew')

If I want to interact with the newly created database using SQLite directly, I can run sqlite3 example.db from my Cygwin bash command line. (Note the conn.commit() line in my Python script is very important for this step to work. For some reason, I didn't see this in the Python documentation.) Here is an example session using SQLite directly with the new database.

$ sqlite3 example.db
SQLite version 3.5.1
Enter ".help" for instructions
sqlite> .schema
CREATE TABLE exceltable (
   id INTEGER,
   name TEXT,
   module TEXT,
   type TEXT,
   desc TEXT
);
sqlite> select * from exceltable;
1|foo|ModuleExt|double|Description of foo
2|bar|ModuleExt|double|Description of bar
3|knark|Module1|int|Description of knark
4|wert|Module1|double|Description of wert
5|jib|Module1|double|Description of jib
6|laz|Module2|double|Description of laz
7|kew|Module2|double|Description of kew
sqlite>