Drop python2 support.

Signed-off-by: Slávek Banko <slavek.banko@axis.cz>
pull/6/head r14.1.0
Slávek Banko 1 year ago
parent 08ab6ec214
commit d09e55dfbb
No known key found for this signature in database
GPG Key ID: 608F5293A04BE668

@ -19,32 +19,32 @@
#* *
#***************************************************************************/
#
# *** NOTE ***
# *** NOTE ***
# It may be necessary to remove the second line, before running.
# It may be necessary also, to change the currency symbol if your file
# It may be necessary also, to change the currency symbol if your file
# includes one.
#
# Simple utility to convert a csv format file, as from a bank, to qif
# format for KMyMoney2. There is no standard for the layout of such a
# file, but generally there will be a header line which indicates the
# layout of the fields within the file. Even then though, the order of
# the columns may vary. It is assumed, though, that the first column
# will contain the date, in 'dd MM yy' format, 'MM' being the month
# Simple utility to convert a csv format file, as from a bank, to qif
# format for KMyMoney2. There is no standard for the layout of such a
# file, but generally there will be a header line which indicates the
# layout of the fields within the file. Even then though, the order of
# the columns may vary. It is assumed, though, that the first column
# will contain the date, in 'dd MM yy' format, 'MM' being the month
# name or number.
# The second column is the detail. The third and fourth columns are
# assumed to be debits and credits. Even fron the same bank, these
# columns may be reversed, but the script handles this. Alternatively,
# the third column may be the amount. There may also be additional
# The second column is the detail. The third and fourth columns are
# assumed to be debits and credits. Even fron the same bank, these
# columns may be reversed, but the script handles this. Alternatively,
# the third column may be the amount. There may also be additional
# columns, such as current balance, but these are all ignored.
# Apart from the header line, there are likely to be other lines, with
# Apart from the header line, there are likely to be other lines, with
# account number, balance details, etc. These are skipped.
#
# First, make the script executable: chmod u+x csvbankinyqif.py .
# The script should be added to the KMM QIF import profile. In KMM, open
# Tools/QIF Profile Editor and click on 'New' at the bottom. then enter a
# name, such as csvbank, then click 'OK'. Next, click on that name in the
# next window, and open the Filter tab. For the 'Input filter location',
# select the location you chose for the script file. For the Input filter
# The script should be added to the KMM QIF import profile. In KMM, open
# Tools/QIF Profile Editor and click on 'New' at the bottom. then enter a
# name, such as csvbank, then click 'OK'. Next, click on that name in the
# next window, and open the Filter tab. For the 'Input filter location',
# select the location you chose for the script file. For the Input filter
# file type, enter *.csv, or whatever extension your data file has.
# Finally, click 'OK'.
# When ready, select File/Import/QIF, and browse to your data file, then
@ -55,97 +55,97 @@
mnths=['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec']
currency = '£'
setup = True
debsfirst = False # credit column is before debit
both = False # only one amount column
debsfirst = False # credit column is before debit
both = False # only one amount column
print("!Type:Bank")
while 1:
try:
line=raw_input()
line=input()
except:break
if line == "" : continue # empty line
line = line.replace('"','',) # Strip out ' "' quotes
line = line.replace(currency,'',) # Strip out '£', etc. symbol
if line == "" : continue # empty line
line = line.replace('"','',) # Strip out ' "' quotes
line = line.replace(currency,'',) # Strip out '£', etc. symbol
cols = line.split(',') # Seperator between columns
if setup:
#
# *** SETUP ***
# *** SETUP ***
#
dt = cols[0][0:2] # Might be a date (day)
datefound = ((dt > '0') and (dt < '32')) #this looks like a date
dt = cols[0][0:2] # Might be a date (day)
datefound = ((dt > '0') and (dt < '32')) #this looks like a date
hdrfound = (cols[0] == 'Date')
if not datefound and not hdrfound: continue# still in hdrs
if hdrfound:
#
# *** 'Date', so now in header ***
# *** 'Date', so now in header ***
#
hdrfound = False
#line = line.replace(' ','',) # Strip out spaces in hdr
cols[2] = cols[2].replace(' ','',) # Strip out spaces in hdr
#line = line.replace(' ','',) # Strip out spaces in hdr
cols[2] = cols[2].replace(' ','',) # Strip out spaces in hdr
if cols[2] == 'Debits':
debsfirst = True
continue
debsfirst = True
continue
elif cols[2] == 'Credits':
debsfirst = False
continue
debsfirst = False
continue
elif cols[2] == 'Amount':
both = True
continue
both = True
continue
else:
print 'Error in col[2]'
print '*** Error in header - col 2 s/b Debit, Credit, or Amount'
#continue
exit
print('Error in col[2]')
print('*** Error in header - col 2 s/b Debit, Credit, or Amount')
#continue
exit
setup ==False
#
# *** Transactions ***
# *** Transactions ***
#
cnum = 0 # First column
for col in cols:
if cnum > 3: break
#
# # Process Date
# # Process Date
#
elif cnum == 0:
col =col.replace(' ','/',2) # Change date seperator to '/'
m = col.split('/')
# *** Check if month not numeric
mn = m[1][0:3] # Extract month string from field 2
fld = 2
try:
mnth = mnths.index(mn) # Get month number
except ValueError: # Field 2 not a valid month name
mn = m[0][0:3] # .. so try field 1
fld = 1
try:
mnth = mnths.index(mn)
except ValueError: # Nor is field 1
dat = ''.join(col) # ..so use as is (numeric)
else: # Field 1 is month name
dat = col[1:3] + str(mnth + 1) + '/' +m[2]
else: # Field 2 is month name
dat = col[0:3] + str(mnth + 1) + '/' +m[2]
line = 'D' + dat+'\n'
#
# # Detail column
#
elif cnum == 1:
#col = col.replace('"','')
line = line + 'P' + col +'\n'
#
# # Debit or credit column
#
elif cnum == 2:
if col != "":
if debsfirst == True: # This is Debit column
col = '-' + col # Mark as -ve
line = line + 'T' + col +'\n'
#
# # Credit or debit?
col =col.replace(' ','/',2) # Change date seperator to '/'
m = col.split('/')
# *** Check if month not numeric
mn = m[1][0:3] # Extract month string from field 2
fld = 2
try:
mnth = mnths.index(mn) # Get month number
except ValueError: # Field 2 not a valid month name
mn = m[0][0:3] # .. so try field 1
fld = 1
try:
mnth = mnths.index(mn)
except ValueError: # Nor is field 1
dat = ''.join(col) # ..so use as is (numeric)
else: # Field 1 is month name
dat = col[1:3] + str(mnth + 1) + '/' +m[2]
else: # Field 2 is month name
dat = col[0:3] + str(mnth + 1) + '/' +m[2]
line = 'D' + dat+'\n'
#
# # Detail column
#
elif cnum == 1:
#col = col.replace('"','')
line = line + 'P' + col +'\n'
#
# # Debit or credit column
#
elif cnum == 2:
if col != "":
if debsfirst == True: # This is Debit column
col = '-' + col # Mark as -ve
line = line + 'T' + col +'\n'
#
# # Credit or debit?
#
elif ((cnum == 3) and (both == False)):
if col != "":
if ((debsfirst == False) ):
col = '-' + col # Mark as -ve
line = line + 'T' + col + '\n'
if col != "":
if ((debsfirst == False) ):
col = '-' + col # Mark as -ve
line = line + 'T' + col + '\n'
cnum+=1
print line + '^' # output this entry
print(line + '^') # output this entry

@ -21,15 +21,15 @@
import csv
# *** NOTE ***
# *** NOTE ***
# It may be necessary to remove the second line, before running.
# Simple script to convert a csv format Prices file, as from later
# Simple script to convert a csv format Prices file, as from later
# editions of Quicken, to qif format for KMyMoney2.
# It and its data files are expected to be in the same directory.
# First make the script executable:- chmod u+x csvpricesqif.py
# Run by ''./csvpricesqif.py' .
# You will be prompted to enter input and output filenames, followed
# You will be prompted to enter input and output filenames, followed
# by the symbol for the stock.
# Input format - "23.12.09","61.62",,,
@ -38,21 +38,21 @@ import csv
# "HJU8.BE",61.62,"23.12.09"
# ^
fin = raw_input('Please enter the input Prices filename (.csv, .PRN, etc.) : ')
fout = raw_input('Please enter the output filename (add .qif) : ')
symbol = raw_input('Please enter the symbol for this stock: ')
fin = input('Please enter the input Prices filename (.csv, .PRN, etc.) : ')
fout = input('Please enter the output filename (add .qif) : ')
symbol = input('Please enter the symbol for this stock: ')
symbol ='"'+ symbol+'"'# Add " " around symbol
inputfile = csv.reader(open(fin, 'rb'))
outputfile = open(fout, 'w')
inputfile.next() # Skip header line. Comment out if no header.
next(inputfile) # Skip header line. Comment out if no header.
inputfile_list = []
inputfile_list.extend(inputfile)
for data in inputfile_list:
line = '!Type:Prices\n'
line = line +symbol +',' + data[1] + ',"' + data[0] + '"\n' + '^\n'
#print line
outputfile.write(line)

@ -20,10 +20,10 @@
#***************************************************************************/
import csv
# *** NOTE ***
# *** NOTE ***
# It may be necessary to remove the second line, before running.
# Simple utility to convert a csv format Securities file, as from later
# Simple utility to convert a csv format Securities file, as from later
# editions of Quicken, to qif format for KMyMoney2.
# It and its data files are expected to be in the same directory.
#
@ -35,11 +35,11 @@ import csv
# These fields are accepted and suffixed with 'M' in the output file.
# Anything of importance in them will need to be copy/pasted into KMM.
fin = raw_input('Please enter the input Securities filename (.csv, .PRN, etc.) : ')
fout = raw_input('Please enter the output filename (add .qif) : ')
fin = input('Please enter the input Securities filename (.csv, .PRN, etc.) : ')
fout = input('Please enter the output filename (add .qif) : ')
line = csv.reader(open(fin, "rb"))
outputfile = open(fout, 'w')
line.next() # Skip header line. Comment out if no header.
next(line) # Skip header line. Comment out if no header.
line_list = []
line_list.extend(line)
line = "!Option:AutoSwitch\n"

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