Spaces:
Running
on
Zero
Running
on
Zero
Update response_processor.py
Browse files- response_processor.py +78 -43
response_processor.py
CHANGED
@@ -315,20 +315,80 @@ class ResponseProcessor:
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def _critical_format_preprocess(self, response: str) -> str:
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"""
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關鍵格式預處理,處理最常見的格式問題
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-
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Args:
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response: 原始回應
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-
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Returns:
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str: 預處理後的回應
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"""
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if not response:
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return response
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-
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try:
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import re
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-
# 第一優先級:處理斜線問題
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# 首先處理已知的斜線組合,使用形容詞替換
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for slash_combo, replacement in self.slash_replacements.items():
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if slash_combo.lower() in response.lower():
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@@ -339,13 +399,11 @@ class ResponseProcessor:
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replacement_formatted = replacement.title()
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else:
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replacement_formatted = replacement
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-
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# 執行替換(不區分大小寫)
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response = re.sub(re.escape(slash_combo), replacement_formatted, response, flags=re.IGNORECASE)
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-
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-
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# 處理其他未預定義的斜線模式
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# 標準斜線模式:word/word
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slash_pattern = r'\b([a-zA-Z]+)/([a-zA-Z]+)\b'
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matches = list(re.finditer(slash_pattern, response))
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for match in reversed(matches): # 從後往前處理避免位置偏移
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@@ -356,22 +414,19 @@ class ResponseProcessor:
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else:
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replacement = word2
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response = response[:match.start()] + replacement + response[match.end():]
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-
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-
# 第二優先級:處理底線格式
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# 首先處理已知的底線組合
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for underscore_combo, replacement in self.underscore_replacements.items():
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if underscore_combo in response:
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response = response.replace(underscore_combo, replacement)
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-
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# 處理三個詞的底線組合:word_word_word → word word word
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response = re.sub(r'\b([a-z]+)_([a-z]+)_([a-z]+)\b', r'\1 \2 \3', response)
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-
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# 處理任何剩餘的底線模式:word_word → word word
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response = re.sub(r'\b([a-zA-Z]+)_([a-zA-Z]+)\b', r'\1 \2', response)
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-
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#
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incomplete_sentence_fixes = [
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(r'\bIn\s*,\s*', 'Throughout the area, '),
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(r'\bOverall,\s+exudes\b', 'Overall, the scene exudes'),
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(r'\bwith its lights turned illuminating\b', 'with its lights illuminating'),
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(r'\bwhere it stands as\b', 'where it stands as'),
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]
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-
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for pattern, replacement in incomplete_sentence_fixes:
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response = re.sub(pattern, replacement, response, flags=re.IGNORECASE)
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-
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#
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(r'\bone\s+persons\b', 'one person'),
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(r'\btwo\s+persons\b', 'two people'),
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(r'\bthree\s+persons\b', 'three people'),
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(r'\bfour\s+persons\b', 'four people'),
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(r'\bfive\s+persons\b', 'five people'),
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(r'\bsix\s+persons\b', 'six people'),
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(r'\bseven\s+persons\b', 'seven people'),
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(r'\beight\s+persons\b', 'eight people'),
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(r'\bnine\s+persons\b', 'nine people'),
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(r'\bten\s+persons\b', 'ten people'),
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(r'\bmultiple\s+persons\b', 'multiple people'),
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(r'\bseveral\s+persons\b', 'several people'),
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(r'\bmany\s+persons\b', 'many people'),
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(r'\ba\s+few\s+persons\b', 'a few people'),
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(r'\bsome\s+persons\b', 'some people')
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]
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for pattern, replacement in grammar_fixes:
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response = re.sub(pattern, replacement, response, flags=re.IGNORECASE)
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return response
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-
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except Exception as e:
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self.logger.warning(f"Error in critical format preprocessing: {str(e)}")
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return response
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@@ -1158,4 +1193,4 @@ class ResponseProcessor:
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"suffixes_to_remove_count": len(self.suffixes_to_remove),
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"repetitive_patterns_count": len(self.repetitive_patterns),
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"initialization_status": "success"
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-
}
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def _critical_format_preprocess(self, response: str) -> str:
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"""
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關鍵格式預處理,處理最常見的格式問題
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+
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Args:
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response: 原始回應
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+
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Returns:
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str: 預處理後的回應
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"""
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if not response:
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return response
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+
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try:
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import re
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# 移除各種形式的 confirmed
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confirmed_patterns = [
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r'\bconfirmed\s+', # "confirmed cars" -> "cars"
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r'\b(\d+)\s+confirmed\s+([a-zA-Z\s]+)', # "12 confirmed cars" -> "12 cars"
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r'\b(one|two|three|four|five|six|seven|eight|nine|ten|eleven|twelve)\s+confirmed\s+([a-zA-Z\s]+)', # "twelve confirmed cars" -> "twelve cars"
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]
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for pattern in confirmed_patterns:
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if pattern == r'\bconfirmed\s+':
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response = re.sub(pattern, '', response, flags=re.IGNORECASE)
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else:
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response = re.sub(pattern, r'\1 \2', response, flags=re.IGNORECASE)
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# 數字轉文字的完整字典
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number_conversions = {
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'0': 'zero', '1': 'one', '2': 'two', '3': 'three', '4': 'four', '5': 'five',
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'6': 'six', '7': 'seven', '8': 'eight', '9': 'nine', '10': 'ten',
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'11': 'eleven', '12': 'twelve', '13': 'thirteen', '14': 'fourteen', '15': 'fifteen',
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'16': 'sixteen', '17': 'seventeen', '18': 'eighteen', '19': 'nineteen', '20': 'twenty'
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}
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# 強化數字替換邏輯 - 處理各種語法結構
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for digit, word in number_conversions.items():
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# 模式1: 數字 + 名詞 (如 "3 cars", "12 people")
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pattern1 = rf'\b{digit}\s+([a-zA-Z]+(?:\s+[a-zA-Z]+)*)\b'
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response = re.sub(pattern1, rf'{word} \1', response)
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# 模式2: 數字 + visible/present + 名詞 (如 "3 visible traffic lights")
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pattern2 = rf'\b{digit}\s+(visible|present|apparent|evident)\s+([a-zA-Z]+(?:\s+[a-zA-Z]+)*)\b'
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response = re.sub(pattern2, rf'{word} \1 \2', response, flags=re.IGNORECASE)
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# 模式3: 介詞 + 數字 + 名詞 (如 "against a backdrop of 3 visible traffic lights")
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pattern3 = rf'\b(against|with|featuring|including|containing)\s+(?:a\s+backdrop\s+of\s+)?{digit}\s+([a-zA-Z]+(?:\s+[a-zA-Z]+)*)\b'
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response = re.sub(pattern3, rf'\1 {word} \2', response, flags=re.IGNORECASE)
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# 模式4: 複合描述中的數字 (如 "featuring twelve confirmed cars and 3 confirmed persons")
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pattern4 = rf'\b(and|,)\s+{digit}\s+([a-zA-Z]+(?:\s+[a-zA-Z]+)*)\b'
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response = re.sub(pattern4, rf'\1 {word} \2', response, flags=re.IGNORECASE)
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grammar_fixes = [
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# persons -> people 的全面修正
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(r'\b(\d+|one|two|three|four|five|six|seven|eight|nine|ten|eleven|twelve|thirteen|fourteen|fifteen|sixteen|seventeen|eighteen|nineteen|twenty)\s+persons\b', r'\1 people'),
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(r'\bmultiple\s+persons\b', 'multiple people'),
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(r'\bseveral\s+persons\b', 'several people'),
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(r'\bmany\s+persons\b', 'many people'),
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(r'\ba\s+few\s+persons\b', 'a few people'),
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(r'\bsome\s+persons\b', 'some people'),
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(r'\bvarious\s+persons\b', 'various people'),
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(r'\bnumerous\s+persons\b', 'numerous people'),
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# 修正語法結構問題
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(r'\bvisible\s+traffic\s+lights\b', 'traffic lights visible'),
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(r'\bpresent\s+traffic\s+lights\b', 'traffic lights present'),
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(r'\bapparent\s+traffic\s+lights\b', 'traffic lights apparent'),
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# 修正重複的形容詞結構
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(r'\b(visible|present|apparent|evident)\s+(visible|present|apparent|evident)\s+', r'\1 '),
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]
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for pattern, replacement in grammar_fixes:
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response = re.sub(pattern, replacement, response, flags=re.IGNORECASE)
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# 首先處理已知的斜線組合,使用形容詞替換
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for slash_combo, replacement in self.slash_replacements.items():
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if slash_combo.lower() in response.lower():
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replacement_formatted = replacement.title()
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else:
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replacement_formatted = replacement
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# 執行替換(不區分大小寫)
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response = re.sub(re.escape(slash_combo), replacement_formatted, response, flags=re.IGNORECASE)
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# 處理其他未預定義的斜線模式
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slash_pattern = r'\b([a-zA-Z]+)/([a-zA-Z]+)\b'
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matches = list(re.finditer(slash_pattern, response))
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for match in reversed(matches): # 從後往前處理避免位置偏移
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else:
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replacement = word2
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response = response[:match.start()] + replacement + response[match.end():]
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# 首先處理已知的底線組合
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for underscore_combo, replacement in self.underscore_replacements.items():
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if underscore_combo in response:
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response = response.replace(underscore_combo, replacement)
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# 處理三個詞的底線組合:word_word_word → word word word
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response = re.sub(r'\b([a-z]+)_([a-z]+)_([a-z]+)\b', r'\1 \2 \3', response)
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# 處理任何剩餘的底線模式:word_word → word word
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response = re.sub(r'\b([a-zA-Z]+)_([a-zA-Z]+)\b', r'\1 \2', response)
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# 確保句子的完整性
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incomplete_sentence_fixes = [
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(r'\bIn\s*,\s*', 'Throughout the area, '),
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(r'\bOverall,\s+exudes\b', 'Overall, the scene exudes'),
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(r'\bwith its lights turned illuminating\b', 'with its lights illuminating'),
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(r'\bwhere it stands as\b', 'where it stands as'),
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]
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for pattern, replacement in incomplete_sentence_fixes:
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response = re.sub(pattern, replacement, response, flags=re.IGNORECASE)
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# 清理多餘空格並確保格式一致性
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response = re.sub(r'\s+', ' ', response).strip()
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return response
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except Exception as e:
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self.logger.warning(f"Error in critical format preprocessing: {str(e)}")
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return response
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"suffixes_to_remove_count": len(self.suffixes_to_remove),
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"repetitive_patterns_count": len(self.repetitive_patterns),
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"initialization_status": "success"
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}
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