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https://github.com/ilri/csv-metadata-quality.git
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Messages will be colorized: - Red for errors - Yellow for warnings or information - Green for fixes
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@ -2,6 +2,7 @@ import re
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from unicodedata import normalize
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import pandas as pd
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from colorama import Fore
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from csv_metadata_quality.util import is_nfc
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@ -29,7 +30,9 @@ def whitespace(field, field_name):
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match = re.findall(pattern, value)
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if match:
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print(f"Removing excessive whitespace ({field_name}): {value}")
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print(
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f"{Fore.GREEN}Removing excessive whitespace ({field_name}): {Fore.RESET}{value}"
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)
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value = re.sub(pattern, " ", value)
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# Save cleaned value
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@ -62,7 +65,9 @@ def separators(field, field_name):
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for value in field.split("||"):
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# Check if the value is blank and skip it
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if value == "":
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print(f"Fixing unnecessary multi-value separator ({field_name}): {field}")
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print(
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f"{Fore.GREEN}Fixing unnecessary multi-value separator ({field_name}): {Fore.RESET}{field}"
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)
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continue
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@ -71,7 +76,9 @@ def separators(field, field_name):
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match = re.findall(pattern, value)
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if match:
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print(f"Fixing invalid multi-value separator ({field_name}): {value}")
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print(
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f"{Fore.RED}Fixing invalid multi-value separator ({field_name}): {Fore.RESET}{value}"
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)
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value = re.sub(pattern, "||", value)
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@ -107,7 +114,7 @@ def unnecessary_unicode(field):
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match = re.findall(pattern, field)
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if match:
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print(f"Removing unnecessary Unicode (U+200B): {field}")
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print(f"{Fore.GREEN}Removing unnecessary Unicode (U+200B): {Fore.RESET}{field}")
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field = re.sub(pattern, "", field)
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# Check for replacement characters (U+FFFD)
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@ -115,7 +122,7 @@ def unnecessary_unicode(field):
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match = re.findall(pattern, field)
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if match:
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print(f"Removing unnecessary Unicode (U+FFFD): {field}")
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print(f"{Fore.GREEN}Removing unnecessary Unicode (U+FFFD): {Fore.RESET}{field}")
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field = re.sub(pattern, "", field)
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# Check for no-break spaces (U+00A0)
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@ -123,7 +130,9 @@ def unnecessary_unicode(field):
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match = re.findall(pattern, field)
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if match:
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print(f"Replacing unnecessary Unicode (U+00A0): {field}")
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print(
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f"{Fore.GREEN}Replacing unnecessary Unicode (U+00A0): {Fore.RESET}{field}"
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)
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field = re.sub(pattern, " ", field)
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# Check for soft hyphens (U+00AD), sometimes preceeded with a normal hyphen
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@ -131,7 +140,9 @@ def unnecessary_unicode(field):
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match = re.findall(pattern, field)
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if match:
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print(f"Replacing unnecessary Unicode (U+00AD): {field}")
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print(
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f"{Fore.GREEN}Replacing unnecessary Unicode (U+00AD): {Fore.RESET}{field}"
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)
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field = re.sub(pattern, "-", field)
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return field
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@ -156,7 +167,9 @@ def duplicates(field, field_name):
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if value not in new_values:
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new_values.append(value)
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else:
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print(f"Removing duplicate value ({field_name}): {value}")
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print(
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f"{Fore.GREEN}Removing duplicate value ({field_name}): {Fore.RESET}{value}"
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)
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# Create a new field consisting of all values joined with "||"
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new_field = "||".join(new_values)
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@ -189,7 +202,7 @@ def newlines(field):
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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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print(f"{Fore.GREEN}Removing newline: {Fore.RESET}{field}")
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field = field.replace("\n", "")
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return field
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@ -213,7 +226,9 @@ def comma_space(field, field_name):
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match = re.findall(r",\w", field)
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if match:
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print(f"Adding space after comma ({field_name}): {field}")
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print(
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f"{Fore.GREEN}Adding space after comma ({field_name}): {Fore.RESET}{field}"
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)
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field = re.sub(r",(\w)", r", \1", field)
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return field
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@ -234,7 +249,7 @@ def normalize_unicode(field, field_name):
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# Check if the current string is using normalized Unicode (NFC)
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if not is_nfc(field):
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print(f"Normalizing Unicode ({field_name}): {field}")
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print(f"{Fore.GREEN}Normalizing Unicode ({field_name}): {Fore.RESET}{field}")
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field = normalize("NFC", field)
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return field
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