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"History" page - Use faster server side "difference" rendering, show ignored/triggered rows (#3442)
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61
changedetectionio/diff/tokenizers/words_and_html.py
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61
changedetectionio/diff/tokenizers/words_and_html.py
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"""
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Tokenizer that preserves HTML tags as atomic units while splitting on whitespace.
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This tokenizer is specifically designed for HTML content where:
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- HTML tags should remain intact (e.g., '<p>', '<a href="...">')
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- Whitespace tokens are preserved for accurate diff reconstruction
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- Words are split on whitespace boundaries
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"""
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from typing import List
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def tokenize_words_and_html(text: str) -> List[str]:
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"""
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Split text into words and boundaries (spaces, HTML tags).
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This tokenizer preserves HTML tags as atomic units while splitting on whitespace.
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Useful for content that contains HTML markup.
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Args:
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text: Input text to tokenize
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Returns:
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List of tokens (words, spaces, HTML tags)
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Examples:
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>>> tokenize_words_and_html("<p>Hello world</p>")
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['<p>', 'Hello', ' ', 'world', '</p>']
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>>> tokenize_words_and_html("<a href='test.com'>link</a>")
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['<a href=\\'test.com\\'>', 'link', '</a>']
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"""
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tokens = []
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current = ''
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in_tag = False
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for char in text:
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if char == '<':
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# Start of HTML tag
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if current:
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tokens.append(current)
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current = ''
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current = '<'
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in_tag = True
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elif char == '>' and in_tag:
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# End of HTML tag
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current += '>'
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tokens.append(current)
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current = ''
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in_tag = False
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elif char.isspace() and not in_tag:
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# Space outside of tag
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if current:
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tokens.append(current)
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current = ''
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tokens.append(char)
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else:
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current += char
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if current:
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tokens.append(current)
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return tokens
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