This is simple validation weather a string is close enough to what we want. First param is keyword we are comparing to Second is user's input and third is tolerance level. Its very rudimentary. I have my mind fixed upon some imperfections. I am trying to make it good for human like(crazy keyboard) error.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 | #!/usr/bin/env python
class ToBigTolerance(Exception):
def __init__(self, keyword):
self.keyword = keyword
def __str__(self):
return 'ToBigTolerance: tolerance must be smaller than half keyboard length: %s' % (len(self.keyword)/2)
def typo_comparison(keyword, string, tolerance):
"""
A simple function to make assumptions about string matchings. No regexp - just regular comparisons of strings.
Based on assumption that data is rarely typed correctly.
"""
keyword = keyword.lower()
string = string.lower()
result = False
error_count = 0
if tolerance == 0:
_basic_compare(keyword, string)
elif tolerance == 1:
_basic_compare(keyword, string)
if len(string) == len(keyword):
for letter in string:
if letter in keyword:
result = True
else:
result = False
break
else:
result = False
return result
else:
tolerance -= 1
counter = 0
if tolerance > (len(keyword) / 2):
raise ToBigTolerance(keyword)
if len(string) >= (len(keyword) - tolerance) and len(string) <= (len(keyword) + tolerance):
for letter in string:
print "letter is: %s" % letter
low_border = counter - tolerance
high_border = counter + tolerance + 1
if high_border >= len(keyword):
high_border = len(keyword)
low_border = high_border - (tolerance *2) -1
elif low_border <= 0:
low_border = 0
high_border = (tolerance * 2) +1
print 'counter at: %s' % counter
print 'comparing against: %s' % keyword[low_border:high_border]
print 'range: %s - %s' % (low_border, high_border)
counter += 1
if letter in keyword[low_border:high_border]:
continue
else:
error_count+=1
if error_count > tolerance:
result = False
else:
result = True
else:
result = False
return result
def _basic_compare(keyword, string):
if keyword == string:
result = True
else:
sresult = False
return result
|
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Comments
Python snippets are posted on ASPN python cookbook. Here's the place for django snippets. Thanks for attention.
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I use it with django. Draw a border between django and python?
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