- 修改比分解析逻辑，只匹配破折号而不匹配冒号，避免将时间(19:00)误识别为比分 - 添加额外检查，确保不会将日期格式误识别为比分 - 添加TBD比赛保护机制，确保TBD vs TBD的比赛永远不会被标记为有比分或已完成 - 如果错误解析了TBD比赛的比分，会自动删除 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -165,14 +165,16 @@ class Dota2CalendarSync:
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# If score not found in structure, try text pattern
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if not has_score:
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text = parent.get_text()
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score_pattern = re.search(r'(\d{1,2})[:|-](\d{1,2})', text)
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# Only look for dash pattern (not colon) to avoid matching time
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score_pattern = re.search(r'(\d{1,2})-(\d{1,2})', text)
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if score_pattern:
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score1 = int(score_pattern.group(1))
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score2 = int(score_pattern.group(2))
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# Validate it's a reasonable game score and not time
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# Validate it's a reasonable game score
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if 0 <= score1 <= 5 and 0 <= score2 <= 5 and (score1 + score2) > 0:
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# Make sure it's not a time pattern (HH:MM)
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if not re.search(r'\d{1,2}:\d{2}\s*(?:CEST?|UTC|[AP]M)', text[max(0, score_pattern.start()-10):score_pattern.end()+10]):
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# Additional check: make sure this isn't part of a date (e.g., 2025-01-14)
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surrounding_text = text[max(0, score_pattern.start()-5):score_pattern.end()+5]
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if not re.search(r'\d{4}-\d{1,2}-\d{1,2}', surrounding_text):
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has_score = True
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match_data['score'] = f"{score1}-{score2}"
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score_match = score_pattern
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@ -219,43 +221,52 @@ class Dota2CalendarSync:
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# Mark if has score and if completed
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if has_score:
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# Score already set above, extract score values
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score_parts = re.match(r'(\d+)-(\d+)', match_data['score'])
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if score_parts:
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score1 = int(score_parts.group(1))
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score2 = int(score_parts.group(2))
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# TBD vs TBD matches should NEVER be marked as having a score or completed
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if match_data.get('team1') == 'TBD' and match_data.get('team2') == 'TBD':
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has_score = False
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match_data['completed'] = False
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match_data['has_score'] = False
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# Remove any incorrectly parsed score
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if 'score' in match_data:
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del match_data['score']
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else:
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score1 = score2 = 0
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# Score already set above, extract score values
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score_parts = re.match(r'(\d+)-(\d+)', match_data['score'])
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if score_parts:
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score1 = int(score_parts.group(1))
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score2 = int(score_parts.group(2))
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else:
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score1 = score2 = 0
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# Check if series is actually completed based on format
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series_completed = False
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if 'format' in match_data:
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if 'Bo3' in match_data['format']:
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# Bo3 is complete when someone reaches 2 wins
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# Check if series is actually completed based on format
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series_completed = False
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if 'format' in match_data:
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if 'Bo3' in match_data['format']:
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# Bo3 is complete when someone reaches 2 wins
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series_completed = (score1 >= 2 or score2 >= 2)
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elif 'Bo5' in match_data['format']:
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# Bo5 is complete when someone reaches 3 wins
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series_completed = (score1 >= 3 or score2 >= 3)
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elif 'Bo1' in match_data['format']:
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# Bo1 is complete when there's any score
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series_completed = True
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else:
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# Unknown format, assume completed if there's a score
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series_completed = True
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else:
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# No format info, try to guess from score
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# If someone has 2+ wins, likely a completed Bo3/Bo5
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series_completed = (score1 >= 2 or score2 >= 2)
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elif 'Bo5' in match_data['format']:
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# Bo5 is complete when someone reaches 3 wins
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series_completed = (score1 >= 3 or score2 >= 3)
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elif 'Bo1' in match_data['format']:
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# Bo1 is complete when there's any score
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series_completed = True
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else:
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# Unknown format, assume completed if there's a score
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series_completed = True
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else:
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# No format info, try to guess from score
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# If someone has 2+ wins, likely a completed Bo3/Bo5
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series_completed = (score1 >= 2 or score2 >= 2)
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match_data['completed'] = series_completed
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match_data['has_score'] = True # Mark that there's a score even if not completed
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match_data['completed'] = series_completed
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match_data['has_score'] = True # Mark that there's a score even if not completed
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# Determine winner only if completed
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if series_completed:
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if score1 > score2:
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match_data['winner'] = match_data.get('team1', 'Unknown')
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else:
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match_data['winner'] = match_data.get('team2', 'Unknown')
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# Determine winner only if completed
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if series_completed:
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if score1 > score2:
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match_data['winner'] = match_data.get('team1', 'Unknown')
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else:
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match_data['winner'] = match_data.get('team2', 'Unknown')
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else:
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match_data['completed'] = False
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match_data['has_score'] = False
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