feat: 升级FLOAT/DOUBLE审核规则为ERROR级别-覆盖CREATE+ALTER-MODIFY-CHANGE-防止生产精度丢失

backend/app/services/mysql_audit_rules.py

@@ -392,25 +392,41 @@ def check_mysql_ddl_004(sql_clean: str, sql_upper: str, report: AuditReportV2, r
     code="MYSQL-DDL-005",
     name="DDLCheckFloatDouble",
     category=RuleCategory.DDL,
-    severity=Severity.WARNING,
+    severity=Severity.ERROR,
     db_type="mysql",
-    description="不建议使用 FLOAT/DOUBLE 类型，建议使用 DECIMAL 替代",
+    description="禁止使用 FLOAT/DOUBLE 类型存储金额/数值数据，必须使用 DECIMAL 保证精度",
     config={"enabled": True},
-    message_template="表 '{table}' 的字段 '{column}' 使用了 {ctype} 类型，建议改为 DECIMAL",
+    message_template="表 '{table}' 的字段 '{column}' 使用了 {ctype} 类型，存在精度丢失风险，必须使用 DECIMAL 替代（如 DECIMAL(16,4)）",
 ))
 def check_mysql_ddl_005(sql_clean: str, sql_upper: str, report: AuditReportV2, rule: AuditRuleV2) -> None:
-    """强制float/double类型变更为decimal类型。"""
+    """禁止 FLOAT/DOUBLE 类型，强制使用 DECIMAL 保证精度。"""
-    if not re.search(r"\bCREATE\s+TABLE\b", sql_upper, re.IGNORECASE):
+    # 检查 CREATE TABLE
-        return
+    if re.search(r"\bCREATE\s+TABLE\b", sql_upper, re.IGNORECASE):
-    table_name = _extract_table_name(sql_upper, sql_clean) or "unknown"
+        table_name = _extract_table_name(sql_upper, sql_clean) or "unknown"
-    columns = _extract_column_definitions(sql_upper)
+        columns = _extract_column_definitions(sql_upper)
-    for col in columns:
+        for col in columns:
-        if col["type"].upper() in ("FLOAT", "DOUBLE"):
+            if col["type"].upper() in ("FLOAT", "DOUBLE", "REAL"):
+                report.findings.append(AuditFindingV2(
+                    rule_code=rule.code,
+                    rule_name=rule.name,
+                    level=rule.severity,
+                    message=rule.message_template.format(table=table_name, column=col["name"], ctype=col["type"]),
+                ))
+
+    # 检查 ALTER TABLE ADD/MODIFY/CHANGE COLUMN
+    alter_match = re.search(r"\bALTER\s+TABLE\s+[`\"']?(\w+)", sql_upper, re.IGNORECASE)
+    if alter_match:
+        table_name = alter_match.group(1)
+        # 匹配 ADD/MODIFY/CHANGE COLUMN 中出现的 FLOAT/DOUBLE 类型
+        float_pattern = r"(?:ADD|MODIFY|CHANGE)\s+(?:COLUMN\s+)?[`\"']?(\w+)[`\"']?\s+(?:FLOAT|DOUBLE|REAL)\b"
+        for m in re.finditer(float_pattern, sql_upper, re.IGNORECASE):
+            col_name = m.group(1)
+            ctype = "FLOAT" if "FLOAT" in m.group(0).upper() else ("DOUBLE" if "DOUBLE" in m.group(0).upper() else "REAL")
             report.findings.append(AuditFindingV2(
                 rule_code=rule.code,
                 rule_name=rule.name,
                 level=rule.severity,
-                message=rule.message_template.format(table=table_name, column=col["name"], ctype=col["type"]),
+                message=rule.message_template.format(table=table_name, column=col_name, ctype=ctype),
             ))