mirror of
https://github.com/ilri/csv-metadata-quality.git
synced 2024-11-18 20:17:04 +01:00
Alan Orth
40e77db713
In this case it fixes occurences of invalid multi-value separators. DSpace uses "||" to separate multiple values in one field, but our editors sometimes give us files with mistakes like "|". We can fix these to be correct multi-value separators if we are sure that the metadata is not actually using "|" for some legitimate purpose.
68 lines
1.7 KiB
Python
Executable File
68 lines
1.7 KiB
Python
Executable File
import pandas as pd
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import re
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def whitespace(field):
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"""Fix whitespace issues.
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Return string with leading, trailing, and consecutive whitespace trimmed.
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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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# Initialize an empty list to hold the cleaned values
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values = list()
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# Strip leading and trailing whitespace
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value = value.strip()
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# Replace excessive whitespace (>2) with one space
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pattern = re.compile(r'\s{2,}')
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match = re.findall(pattern, value)
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if len(match) > 0:
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print(f'Excessive whitespace: {value}')
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value = re.sub(pattern, ' ', value)
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# Save cleaned value
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values.append(value)
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# Create a new field consisting of all values joined with "||"
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new_field = '||'.join(values)
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return new_field
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def separators(field):
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"""Fix for invalid multi-value separators (ie "|")."""
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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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# Initialize an empty list to hold the cleaned values
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values = list()
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# Try to split multi-value field on "||" separator
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for value in field.split('||'):
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# After splitting, see if there are any remaining "|" characters
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pattern = re.compile(r'\|')
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match = re.findall(pattern, value)
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if len(match) > 0:
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print(f'Fixing invalid multi-value separator: {value}')
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value = re.sub(pattern, '||', value)
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# Save cleaned value
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values.append(value)
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# Create a new field consisting of all values joined with "||"
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new_field = '||'.join(values)
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return new_field
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