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feat(scope)+fix(db)+feat(security): 数据范围(项目级)生效、库列类型对齐、安全加固、状态位分层展示、能耗实时聚合 - user_scopes 由"假开关"做成生效:粒度到项目级(组织隔离 ∧ 项目∈范围,取交集);未配置=不限制(逐字向后兼容); 总管理员豁免;脏数据保守忽略不锁死;配置期校验存在性+归属;逐接口叠加(列表/详情/写操作/Excel 导出落 scope_project_ids); 前端新增"数据范围"弹窗入口。顺带修 GET /api/charge-orders 此前完全没有组织隔离(跨租户泄露)、 GET /api/projects/{id}/cabinets 的 500 - 数据库列类型系统性对齐:扫描并修复 pms_dev 32 项 / pms 18 项漂移(时间列统一 DATETIME,sqlx NaiveDateTime 只兼容 DATETIME); DECIMAL→BIGINT 与列注释口径拉平;修复生产 GET /api/charge-orders、GET /api/device-logs 必然 500 的根因; 恢复 7 张表丢失的 updated_at ON UPDATE(行为变化,已记入 AGENTS.md);修正 SCHEMA_SQL 前向引用(空库建表必崩); 新增 tools/db_schema_diff.py(漂移检查,退出码可接部署前置)与 test/schema_alignment_e2e.py - 安全加固四项:上传去 .svg + 魔数嗅探(堵存储型 XSS);登录失败锁定(5次/15分)+challenge 限流+并发闸门+验证码容差收紧; 服务降权 root→pms;nginx 安全头 + limit_req + CORS 白名单收敛 - TCP 连接登录门控(上行+下行同一规则):login 前只放行 auth_str/login(PRE_LOGIN_ALLOWED_ACTS) - 状态位按归属层级展示:柜级 status1/status2 显示在柜子(含柜门 + 开门按钮,独立动作不联动业务)、 仓体级 batt_status/pow_status 显示在仓体;两端解析函数同源同名 - 能耗报表改实时聚合 charge_records(原 energy_stats 全表只读不写导致报表恒 0)+ 补复合索引 - 组织可见性:新增 GET /api/my-organizations(工厂全量、客户仅本组织) - 仓体 status 仅表占用,充满/故障由 Redis 通道状态派生 - 订单/占用/队列运维缺口:h5 建单漏单、214 仓体自愈、device:reports 上限、死信 TTL、LimitNOFILE、 每日 mysqldump + 回滚点保留 5 次 - 文档:AGENTS.md 补层级可见性/数据范围/状态位约定/数据库工具/行为变化;docs/API.md 删除废弃 TCP 章节、接口总表对齐 mod.rs
2026-09-20 02:44:51 +08:00
import pymysql, sys
TARGETS = [
("charge_records", "energy"),
("charge_records", "start_time"),
("charge_records", "end_time"),
("energy_stats", "total_energy"),
("download_tasks", "completed_at"),
("organizations", "parent_id"),
]
SQL = """
SELECT TABLE_NAME, COLUMN_NAME, COLUMN_TYPE, DATA_TYPE, IS_NULLABLE,
COLUMN_DEFAULT, EXTRA, COLUMN_COMMENT
FROM information_schema.COLUMNS
WHERE TABLE_SCHEMA = %s AND ((TABLE_NAME, COLUMN_NAME) IN (%s))
ORDER BY TABLE_NAME, COLUMN_NAME
"""
IDX = """
SELECT TABLE_NAME, INDEX_NAME, GROUP_CONCAT(COLUMN_NAME ORDER BY SEQ_IN_INDEX) cols, NON_UNIQUE
FROM information_schema.STATISTICS
WHERE TABLE_SCHEMA=%s AND TABLE_NAME IN ('organizations','download_tasks','energy_stats','charge_records','charge_orders')
GROUP BY TABLE_NAME, INDEX_NAME, NON_UNIQUE ORDER BY TABLE_NAME, INDEX_NAME
"""
FK = """
SELECT TABLE_NAME, CONSTRAINT_NAME, COLUMN_NAME, REFERENCED_TABLE_NAME, REFERENCED_COLUMN_NAME
FROM information_schema.KEY_COLUMN_USAGE
WHERE TABLE_SCHEMA=%s AND REFERENCED_TABLE_NAME IS NOT NULL
ORDER BY TABLE_NAME, CONSTRAINT_NAME
"""
for db in ("pms_dev", "pms"):
conn = pymysql.connect(host="10.8.0.252", user="root", password="Hbhyg731024@", database=db, charset="utf8mb4")
cur = conn.cursor()
print("=" * 78)
print("DB:", db)
print("=" * 78)
placeholders = ",".join(["(%s,%s)"] * len(TARGETS))
flat = [db] + [x for t in TARGETS for x in t]
cur.execute(SQL % ("%s", placeholders), flat)
for r in cur.fetchall():
print(f" {r[0]}.{r[1]:<14} type={r[2]:<18} data={r[3]:<10} null={r[4]:<4} default={str(r[5]):<20} extra={r[6]:<20} comment={r[7]}")
print(" -- 索引 --")
cur.execute(IDX, (db,))
for r in cur.fetchall():
print(f" {r[0]:<18} {r[1]:<38} ({r[2]}) uniq={0 if r[3]==0 else 1}")
print(" -- 外键 --")
cur.execute(FK, (db,))
for r in cur.fetchall():
print(f" {r[0]:<18} {r[1]:<40} {r[2]} -> {r[3]}.{r[4]}")
# row counts
print(" -- 行数 --")
for t in ("charge_records", "energy_stats", "download_tasks", "organizations", "charge_orders"):
try:
cur.execute(f"SELECT COUNT(*) FROM {t}")
print(f" {t:<18} {cur.fetchone()[0]}")
except Exception as e:
print(f" {t:<18} ERR {e}")
conn.close()