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#!/usr/bin/env python
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# -*- coding: iso-8859-1 -*-
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#
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#***************************************************************************
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# csvbankingqif.py - description
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# -------------------
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# begin : Sat 31 Oct. 2009
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# copyright : (C) 2009 by Allan Anderson
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# email : aganderson@ukonline.co.uk
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#
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#***************************************************************************/
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#
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#***************************************************************************
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#* *
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#* This program is free software; you can redistribute it and/or modify *
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#* it under the terms of the GNU General Public License as published by *
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#* the Free Software Foundation; either version 2 of the License, or *
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#* (at your option) any later version. *
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#* *
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#***************************************************************************/
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#
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# *** NOTE ***
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# It may be necessary to remove the second line, before running.
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# It may be necessary also, to change the currency symbol if your file
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# includes one.
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#
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# Simple utility to convert a csv format file, as from a bank, to qif
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# format for KMyMoney2. There is no standard for the layout of such a
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# file, but generally there will be a header line which indicates the
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# layout of the fields within the file. Even then though, the order of
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# the columns may vary. It is assumed, though, that the first column
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# will contain the date, in 'dd MM yy' format, 'MM' being the month
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# name or number.
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# The second column is the detail. The third and fourth columns are
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# assumed to be debits and credits. Even fron the same bank, these
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# columns may be reversed, but the script handles this. Alternatively,
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# the third column may be the amount. There may also be additional
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# columns, such as current balance, but these are all ignored.
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# Apart from the header line, there are likely to be other lines, with
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# account number, balance details, etc. These are skipped.
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#
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# First, make the script executable: chmod u+x csvbankinyqif.py .
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# The script should be added to the KMM QIF import profile. In KMM, open
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# Tools/QIF Profile Editor and click on 'New' at the bottom. then enter a
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# name, such as csvbank, then click 'OK'. Next, click on that name in the
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# next window, and open the Filter tab. For the 'Input filter location',
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# select the location you chose for the script file. For the Input filter
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# file type, enter *.csv, or whatever extension your data file has.
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# Finally, click 'OK'.
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# When ready, select File/Import/QIF, and browse to your data file, then
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# select your new filter profile, and click 'Import'.
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#
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#desc="date","detail","debit","credit"
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mnths=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
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currency = '<EFBFBD>'
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setup = True
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debsfirst = False # credit column is before debit
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both = False # only one amount column
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print("!Type:Bank")
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while 1:
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try:
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line=input()
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except:break
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if line == "" : continue # empty line
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line = line.replace('"','',) # Strip out ' "' quotes
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line = line.replace(currency,'',) # Strip out '<27>', etc. symbol
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cols = line.split(',') # Seperator between columns
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if setup:
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#
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# *** SETUP ***
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#
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dt = cols[0][0:2] # Might be a date (day)
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datefound = ((dt > '0') and (dt < '32')) #this looks like a date
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hdrfound = (cols[0] == 'Date')
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if not datefound and not hdrfound: continue# still in hdrs
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if hdrfound:
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#
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# *** 'Date', so now in header ***
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#
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hdrfound = False
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#line = line.replace(' ','',) # Strip out spaces in hdr
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cols[2] = cols[2].replace(' ','',) # Strip out spaces in hdr
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if cols[2] == 'Debits':
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debsfirst = True
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continue
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elif cols[2] == 'Credits':
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debsfirst = False
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continue
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elif cols[2] == 'Amount':
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both = True
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continue
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else:
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print('Error in col[2]')
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print('*** Error in header - col 2 s/b Debit, Credit, or Amount')
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#continue
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exit
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setup ==False
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#
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# *** Transactions ***
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#
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cnum = 0 # First column
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for col in cols:
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if cnum > 3: break
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#
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# # Process Date
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#
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elif cnum == 0:
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col =col.replace(' ','/',2) # Change date seperator to '/'
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m = col.split('/')
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# *** Check if month not numeric
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mn = m[1][0:3] # Extract month string from field 2
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fld = 2
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try:
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mnth = mnths.index(mn) # Get month number
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except ValueError: # Field 2 not a valid month name
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mn = m[0][0:3] # .. so try field 1
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fld = 1
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try:
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mnth = mnths.index(mn)
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except ValueError: # Nor is field 1
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dat = ''.join(col) # ..so use as is (numeric)
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else: # Field 1 is month name
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dat = col[1:3] + str(mnth + 1) + '/' +m[2]
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else: # Field 2 is month name
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dat = col[0:3] + str(mnth + 1) + '/' +m[2]
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line = 'D' + dat+'\n'
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#
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# # Detail column
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#
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elif cnum == 1:
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#col = col.replace('"','')
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line = line + 'P' + col +'\n'
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#
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# # Debit or credit column
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#
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elif cnum == 2:
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if col != "":
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if debsfirst == True: # This is Debit column
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col = '-' + col # Mark as -ve
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line = line + 'T' + col +'\n'
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#
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# # Credit or debit?
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#
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elif ((cnum == 3) and (both == False)):
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if col != "":
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if ((debsfirst == False) ):
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col = '-' + col # Mark as -ve
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line = line + 'T' + col + '\n'
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cnum+=1
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print(line + '^') # output this entry
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