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Add support for removing newlines
This was tricky because of the nature of newlines. In actuality we are removing Unix line feeds here (U+000A) because Windows carriage returns are actually already removed by the string stripping in the whitespace fix. Creating the test case in Vim was difficult because I couldn't fig- ure out how to manually enter a line feed character. In the end I used a search and replace on a known pattern like "ALAN", replacing it with \r. Neither entering the Unicode code point (U+000A) direc- tly or typing an "Enter" character after ^V worked. Grrr.
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@ -10,6 +10,7 @@ Requires Python 3.6 or greater. CSV and Excel support comes from the [Pandas](ht
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- Validate subjects against the AGROVOC REST API
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- Validate subjects against the AGROVOC REST API
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- Fix leading, trailing, and excessive (ie, more than one) whitespace
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- Fix leading, trailing, and excessive (ie, more than one) whitespace
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- Fix invalid multi-value separators (`|`) using `--unsafe-fixes`
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- Fix invalid multi-value separators (`|`) using `--unsafe-fixes`
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- Fix problematic newlines (line feeds) using `--unsafe-fixes`
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- Remove unnecessary Unicode like [non-breaking spaces](https://en.wikipedia.org/wiki/Non-breaking_space), [replacement characters](https://en.wikipedia.org/wiki/Specials_(Unicode_block)#Replacement_character), etc
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- Remove unnecessary Unicode like [non-breaking spaces](https://en.wikipedia.org/wiki/Non-breaking_space), [replacement characters](https://en.wikipedia.org/wiki/Specials_(Unicode_block)#Replacement_character), etc
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- Check for "suspicious" characters that indicate encoding or copy/paste issues, for example "foreˆt" should be "forêt"
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- Check for "suspicious" characters that indicate encoding or copy/paste issues, for example "foreˆt" should be "forêt"
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- Remove duplicate metadata values
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- Remove duplicate metadata values
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@ -25,6 +25,10 @@ def main(argv):
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# Fix: whitespace
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# Fix: whitespace
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df[column] = df[column].apply(fix.whitespace)
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df[column] = df[column].apply(fix.whitespace)
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# Fix: newlines
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if args.unsafe_fixes:
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df[column] = df[column].apply(fix.newlines)
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# Fix: unnecessary Unicode
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# Fix: unnecessary Unicode
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df[column] = df[column].apply(fix.unnecessary_unicode)
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df[column] = df[column].apply(fix.unnecessary_unicode)
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@ -134,3 +134,34 @@ def duplicates(field):
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new_field = '||'.join(new_values)
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new_field = '||'.join(new_values)
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return new_field
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return new_field
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def newlines(field):
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"""Fix newlines.
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Single metadata values should not span multiple lines because this is not
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rendered properly in DSpace's XMLUI and even causes issues during import.
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Implementation note: this currently only detects Unix line feeds (0x0a).
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This is essentially when a user presses "Enter" to move to the next line.
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Other newlines like the Windows carriage return are already handled with
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the string stipping performed in the whitespace fixes.
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Confusingly, in Vim '\n' matches a line feed when searching, but you must
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use '\r' to *insert* a line feed, ie in a search and replace expression.
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Return string with newlines removed.
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"""
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# Skip fields with missing values
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if pd.isna(field):
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return
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# Check for Unix line feed (LF)
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match = re.findall(r'\n', field)
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if match:
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print(f'Removing newline: {field}')
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field = field.replace('\n', '')
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return field
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@ -17,3 +17,5 @@ Invalid ISO 639-2 language,2019-07-29,,,jp,
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Invalid ISO 639-3 language,2019-07-29,,,chi,
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Invalid ISO 639-3 language,2019-07-29,,,chi,
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Invalid language,2019-07-29,,,Span,
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Invalid language,2019-07-29,,,Span,
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Invalid AGROVOC subject,2019-07-29,,,,FOREST
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Invalid AGROVOC subject,2019-07-29,,,,FOREST
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Newline,2019-07-30,,,,"TANZA
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NIA"
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@ -47,3 +47,12 @@ def test_fix_duplicates():
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value = 'Kenya||Kenya'
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value = 'Kenya||Kenya'
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assert fix.duplicates(value) == 'Kenya'
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assert fix.duplicates(value) == 'Kenya'
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def test_fix_newlines():
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'''Test fixing newlines.'''
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value = '''Ken
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ya'''
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assert fix.newlines(value) == 'Kenya'
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