进行了 GVSDSDK 迁移，可能存在诸多问题

check_sql_structure.py

@@ -0,0 +1,69 @@
+#!/usr/bin/env python3
+"""检查 user_dashou 中有 user_id 的记录"""
+import re
+
+with open('xaio_cheng_xu_backup.sql', 'r', encoding='utf-8') as f:
+    content = f.read()
+
+pattern = re.compile(r"INSERT\s+INTO\s+`user_dashou`\s+VALUES\s*\((.+?)\)\s*;", re.IGNORECASE | re.DOTALL)
+matches = list(pattern.finditer(content))
+
+# 找有 user_id 的记录
+has_uid = 0
+no_uid = 0
+uid_values = []
+for m in matches:
+    v = m.group(1).rstrip()
+    if v.endswith('NULL'):
+        no_uid += 1
+    else:
+        has_uid += 1
+        # 提取最后一个值（user_id）
+        last_comma = v.rfind(',')
+        uid_val = v[last_comma+1:].strip()
+        uid_values.append(uid_val)
+
+print(f"有 user_id: {has_uid}, 无 user_id: {no_uid}")
+print(f"user_id 值样本: {uid_values[:10]}")
+
+# 检查 user_main 中这些 user_id 是否存在
+# user_main 的 id 字段是 vals[1]
+main_pattern = re.compile(r"INSERT\s+INTO\s+`user_main`\s+VALUES\s*\((.+?)\)\s*;", re.IGNORECASE | re.DOTALL)
+main_ids = set()
+for m in main_pattern.finditer(content):
+    # 简单提取第二个字段 (id)
+    v = m.group(1)
+    # 找前几个逗号
+    in_q = False
+    commas = []
+    for i, ch in enumerate(v):
+        if ch == "'": in_q = not in_q
+        elif ch == ',' and not in_q:
+            commas.append(i)
+            if len(commas) >= 2: break
+    if len(commas) >= 2:
+        id_val = v[commas[0]+1:commas[1]].strip()
+        main_ids.add(id_val)
+
+print(f"\nuser_main id 范围: {len(main_ids)} 个")
+matched = sum(1 for uid in uid_values if uid in main_ids)
+print(f"user_dashou user_id 匹配 user_main: {matched}/{len(uid_values)}")
+
+# 也检查 user_type 分布
+type_pattern = re.compile(r"INSERT\s+INTO\s+`user_main`\s+VALUES\s*\((.+?)\)\s*;", re.IGNORECASE | re.DOTALL)
+type_counts = {}
+for m in type_pattern.finditer(content):
+    v = m.group(1)
+    # 找第12个字段 (user_type, index 11)
+    in_q = False
+    commas = []
+    for i, ch in enumerate(v):
+        if ch == "'": in_q = not in_q
+        elif ch == ',' and not in_q:
+            commas.append(i)
+            if len(commas) >= 12: break
+    if len(commas) >= 12:
+        type_val = v[commas[10]+1:commas[11]].strip().strip("'")
+        type_counts[type_val] = type_counts.get(type_val, 0) + 1
+
+print(f"\nuser_type 分布: {type_counts}")