charging-cabinet/.tmp-energy-verify/cleanup_temp_data.py

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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
"""清理临时联调数据:只删除本任务自己插入的行(按记录到的 ID),
并删除测试期间产生的 download_tasks 行;**保留**新增的两条索引(迁移产物)。
删除顺序按外键依赖:charge_records → compartments → cabin_boards → cabinets → projects → organizations
"""
import json
import os
import pymysql
HERE = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(HERE, "temp_ids.json"), encoding="utf-8") as fh:
main_ids = json.load(fh)
with open(os.path.join(HERE, "temp_ids_orgB.json"), encoding="utf-8") as fh:
orgb_ids = json.load(fh)
record_ids = main_ids["record_ids"] + [orgb_ids["record_id"]]
compartment_ids = main_ids["compartment_ids"] + [orgb_ids["compartment_id"]]
board_ids = main_ids["board_ids"] + [orgb_ids["board_id"]]
cabinet_ids = main_ids["cabinet_ids"] + [orgb_ids["cabinet_id"]]
project_ids = [main_ids["project_id"], orgb_ids["project_id"]]
org_ids = [orgb_ids["org_id"]]
user_ids = [main_ids["user_id"]]
task_ids = [1, 2, 3, 4] # 本次测试创建的下载任务
conn = pymysql.connect(host="10.8.0.252", user="root",
password="Hbhyg731024@", database="pms_dev")
cur = conn.cursor()
steps = [
("charge_records", "id", record_ids),
("compartments", "id", compartment_ids),
("cabin_boards", "id", board_ids),
("cabinets", "id", cabinet_ids),
("projects", "id", project_ids),
("organizations", "id", org_ids),
# download_tasks.user_id 外键指向 users.id ⇒ 必须**先**删 download_tasks 再删 users
("download_tasks", "id", task_ids),
("users", "id", user_ids),
]
for table, col, ids in steps:
if not ids:
continue
ph = ",".join(["%s"] * len(ids))
cur.execute(f"DELETE FROM {table} WHERE {col} IN ({ph})", ids)
print(f"DELETE {table:16} {cur.rowcount:2d} 行 (ids={ids})")
conn.commit()
print("\n=== 清理后校验 ===")
for table, sql in [
("charge_records", "SELECT COUNT(*) FROM charge_records"),
("energy_stats", "SELECT COUNT(*) FROM energy_stats"),
("cabinets", "SELECT COUNT(*) FROM cabinets"),
("projects", "SELECT COUNT(*) FROM projects"),
("organizations", "SELECT COUNT(*) FROM organizations"),
("users", "SELECT COUNT(*) FROM users"),
("compartments", "SELECT COUNT(*) FROM compartments"),
("cabin_boards", "SELECT COUNT(*) FROM cabin_boards"),
("download_tasks", "SELECT COUNT(*) FROM download_tasks"),
]:
cur.execute(sql)
print(f" {table:16} = {cur.fetchone()[0]}")
cur.execute(
"SELECT index_name, GROUP_CONCAT(column_name ORDER BY seq_in_index) FROM information_schema.statistics "
"WHERE table_schema='pms_dev' AND table_name='charge_records' GROUP BY index_name ORDER BY index_name"
)
print(" charge_records 索引(应保留):", cur.fetchall())
cur.close()
conn.close()
print("\n临时数据清理完成")