修复TBD比赛错误标记为完成的问题

- 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>

sync_dota2_matches.py

@@ -165,14 +165,16 @@ class Dota2CalendarSync:
             # If score not found in structure, try text pattern
             if not has_score:
                 text = parent.get_text()
-                score_pattern = re.search(r'(\d{1,2})[:|-](\d{1,2})', text)
+                # Only look for dash pattern (not colon) to avoid matching time
+                score_pattern = re.search(r'(\d{1,2})-(\d{1,2})', text)
                 if score_pattern:
                     score1 = int(score_pattern.group(1))
                     score2 = int(score_pattern.group(2))
-                    # Validate it's a reasonable game score and not time
+                    # Validate it's a reasonable game score
                     if 0 <= score1 <= 5 and 0 <= score2 <= 5 and (score1 + score2) > 0:
-                        # Make sure it's not a time pattern (HH:MM)
-                        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]):
+                        # Additional check: make sure this isn't part of a date (e.g., 2025-01-14)
+                        surrounding_text = text[max(0, score_pattern.start()-5):score_pattern.end()+5]
+                        if not re.search(r'\d{4}-\d{1,2}-\d{1,2}', surrounding_text):
                             has_score = True
                             match_data['score'] = f"{score1}-{score2}"
                             score_match = score_pattern
@@ -219,6 +221,15 @@ class Dota2CalendarSync:
             
             # Mark if has score and if completed
             if has_score:
+                # TBD vs TBD matches should NEVER be marked as having a score or completed
+                if match_data.get('team1') == 'TBD' and match_data.get('team2') == 'TBD':
+                    has_score = False
+                    match_data['completed'] = False
+                    match_data['has_score'] = False
+                    # Remove any incorrectly parsed score
+                    if 'score' in match_data:
+                        del match_data['score']
+                else:
                     # Score already set above, extract score values
                     score_parts = re.match(r'(\d+)-(\d+)', match_data['score'])
                     if score_parts: