save docs

debug_match.py

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+import pandas as pd
+
+df_teachers = pd.read_excel('老师信息示例.xlsx')
+df_students = pd.read_excel('学生信息示例.xlsx')
+
+teachers = []
+for _, row in df_teachers.iterrows():
+    availability = {}
+    for col in df_teachers.columns:
+        if col not in ['老师姓名', '老师类型']:
+            val = row.get(col, '')
+            if pd.notna(val) and str(val).strip():
+                availability[col] = str(val)
+    teachers.append({
+        'id': row['老师姓名'],
+        'name': row['老师姓名'],
+        'type': row['老师类型'],
+        'availability': availability
+    })
+
+students = []
+for _, row in df_students.iterrows():
+    history_str = row.get('历史匹配老师', '')
+    history = []
+    if pd.notna(history_str) and str(history_str).strip():
+        history = [t.strip() for t in str(history_str).split(',')]
+    
+    availability = {}
+    for col in df_students.columns:
+        if col not in ['学生姓名', '历史匹配老师']:
+            val = row.get(col, '')
+            if pd.notna(val) and str(val).strip():
+                availability[col] = str(val)
+    
+    students.append({
+        'id': row['学生姓名'],
+        'name': row['学生姓名'],
+        'availability': availability,
+        'history': history
+    })
+
+print('=== 检查数据导入 ===')
+print(f'老师数量: {len(teachers)}')
+print(f'学生数量: {len(students)}')
+print()
+
+print('=== 检查老师类型分布 ===')
+new_count = sum(1 for t in teachers if t['type'] == '新')
+old_count = sum(1 for t in teachers if t['type'] == '旧')
+print(f'新老师: {new_count}, 旧老师: {old_count}')
+print()
+
+print('=== 检查学生历史记录分布 ===')
+history_counts = {}
+for s in students:
+    cnt = len(s['history'])
+    history_counts[cnt] = history_counts.get(cnt, 0) + 1
+print('学生历史记录数量分布:')
+for cnt in sorted(history_counts.keys()):
+    print(f'  {cnt} 个历史老师: {history_counts[cnt]} 人')
+print()
+
+def parse_slots(time_str):
+    slots = []
+    for slot in time_str.split(';'):
+        slot = slot.strip()
+        if slot and '-' in slot:
+            parts = slot.split('-')
+            if len(parts) == 2:
+                slots.append((parts[0].strip(), parts[1].strip()))
+    return slots
+
+print('=== 检查时间段匹配情况 ===')
+for student in students[:5]:
+    history_count = len(student['history'])
+    expected_type = '旧' if history_count == 0 else ('新' if history_count % 2 == 1 else '旧')
+    
+    print(f'\n学生: {student["name"]}')
+    print(f'  期望老师类型: {expected_type}')
+    print(f'  可用时间: {student["availability"]}')
+    print(f'  历史老师: {student["history"]}')
+    
+    found_match = False
+    for teacher in teachers:
+        if teacher['type'] != expected_type:
+            continue
+        if teacher['id'] in student['history']:
+            continue
+        
+        for day, s_time in student['availability'].items():
+            if day not in teacher['availability']:
+                continue
+            
+            t_time = teacher['availability'][day]
+            s_slots = parse_slots(s_time)
+            t_slots = parse_slots(t_time)
+            
+            for s_start, s_end in s_slots:
+                for t_start, t_end in t_slots:
+                    if s_start == t_start and s_end == t_end:
+                        print(f'  ✓ {teacher["name"]} 在 {day} 有匹配时间段: {s_start}-{s_end}')
+                        found_match = True
+    
+    if not found_match:
+        print(f'  ✗ 未找到匹配的老师')