正则表达式捕获特定大写开头连续单词的问题排查

Let's break down why your original approach failed and fix it to meet your exact requirements.

Problem with Your Original Code #

The main issues were:

1. The unnecessary custom delimiter (3hsdfhdg11sdf) paired with an extra literal < in your regex, which made it impossible to match any text.
2. The boundary handling for the name wasn't correctly targeting sentence-ending punctuation or the end of the input string.

Corrected Solution #

We can simplify this by directly targeting valid boundaries after the name (your specified punctuation or end of string) without needing a hacky custom delimiter. Here's the revised code:

import re

def test_extraction_func(input_text):
    word = ""
    
    # Regex pattern breakdown:
    # 1. Case-insensitive trigger phrase to identify name context
    # 2. Capture group for the multi-word capitalized name (supports accented characters)
    # 3. Optional valid boundary punctuation OR end of string
    trigger_phrase = r"(?i:no\s*identifiques\s*como\s*(?:a\s*un|un|)\s*nombre\s*(?:a\s*el\s*nombre\s*(?:de|)|al\s*nombre|a)\s+)"
    name_capture = r"([A-ZÁÉÍÓÚÜÑ][a-záéíóúüñ]+(?:\s*[A-ZÁÉÍÓÚÜÑ][a-záéíóúüñ]+)*)"
    valid_boundaries = r"\s*(?:\.\s*\n|;\s*|,\s*|\.\s*|$)"
    
    full_pattern = trigger_phrase + name_capture + valid_boundaries
    
    match = re.search(full_pattern, input_text)
    if match:
        word = match.group(1).strip()
        print(repr(word))
    else:
        print(repr(word))

# Test all your examples
print("Example 1:")
test_extraction_func("SAFJHDFH no identifiques como nombre a María del Carmen asjdjhs")  # Output: ""
print("Example 2:")
test_extraction_func("no identifiques como nombre a María Carmen")  # Output: "María Carmen"
print("Example 3:")
test_extraction_func("sagasghas no identifiques como a un nombre a María Carmen Azul, k9kfjfjfd")  # Output: "María Carmen Azul"
print("Example 4:")
test_extraction_func("sagasghas no identifiques como a un nombre a María Carmen Azul; Aun que no estoy realmente segura de ello")  # Output: "María Carmen Azul"
print("Example 5:")
test_extraction_func("no identifiques como nombre a María hghdshgsd")  # Output: ""

Key Changes Explained #

• Removed the custom delimiter: We use $ to match the end of the string, combined with your required punctuation (. \n, .\n, ., ,, ;) in a non-capturing group. This ensures the name is followed only by valid boundaries.
• Simplified trigger phrase: Kept it case-insensitive to handle variations in input capitalization, while maintaining flexibility to match all your specified trigger phrase formats.
• Cleaner capture logic: The code directly checks for a valid match and strips any extra whitespace from the captured name for clean output.

Test Results #

Running the code produces exactly what you expected:

• Example 1: Empty string (name is followed by random lowercase text, not a valid boundary)
• Example 2: Captures "María Carmen" (ends at the end of the text)
• Example 3: Captures "María Carmen Azul" (followed by a comma)
• Example 4: Captures "María Carmen Azul" (followed by a semicolon)
• Example 5: Empty string (name is followed by random lowercase text)

内容的提问来源于stack exchange，提问作者Matt095