feat(system): 新增操作日志表与 V2 迁移

需求 2.5.1 要求记录用户管理操作,先落表结构:

- operation_logs 表:冗余 username 保证账号删除后仍可追溯,
  user_id 外键 ON DELETE SET NULL,success 默认 '0' 与 login_logs 口径一致
- 截断常量(USERNAME/ERROR_MESSAGE/REQUEST_DATA)集中定义,供写入方引用
- 修复既有 V1 迁移与迁移模板的 downgrade:索引是外键唯一支撑索引,
  先 drop_index 会报 errno 1553,改为只 drop_table
- 同步 db/migration/V2 与 init-dev.sql,迁移版本号更新为 a45a8087831b

Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
liuwenxin 2026-10-10 10:44:05 +08:00
parent 273ebf4657
commit ad5fe4a411
9 changed files with 365 additions and 30 deletions

View File

@ -5,7 +5,7 @@ Revises: ${down_revision | comma,n}
Create Date: ${create_date}
"""
from typing import Sequence, Union
from collections.abc import Sequence
from alembic import op
import sqlalchemy as sa
@ -13,16 +13,22 @@ ${imports if imports else ""}
# revision identifiers, used by Alembic.
revision: str = ${repr(up_revision)}
down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
down_revision: str | Sequence[str] | None = ${repr(down_revision)}
branch_labels: str | Sequence[str] | None = ${repr(branch_labels)}
depends_on: str | Sequence[str] | None = ${repr(depends_on)}
def upgrade() -> None:
"""Upgrade schema."""
"""应用迁移。"""
${upgrades if upgrades else "pass"}
def downgrade() -> None:
"""Downgrade schema."""
"""回滚迁移。
**注意(autogenerate 不会替你处理)**:生成的 `op.drop_index` 与
`op.drop_table` 顺序需人工检查 —— 若某索引是外键的唯一支撑索引,
单独 drop_index 会报 MySQL 1553(needed in a foreign key constraint)。
**整表回滚应只保留 `op.drop_table`**,DROP TABLE 会连带删除索引与外键。
"""
${downgrades if downgrades else "pass"}

View File

@ -337,17 +337,19 @@ def upgrade() -> None:
def downgrade() -> None:
"""Downgrade schema."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index("idx_user_roles_role_id", table_name="user_roles")
"""回滚迁移。
只保留 drop_table —— DROP TABLE 会连带删除索引与外键。
原 autogenerate 输出里逐个 drop_index 会失败:idx_user_roles_role_id 与
idx_role_permissions_permission_id 分别是外键的唯一支撑索引,
MySQL 拒绝单独删除(errno 1553),回滚会中断在半途。
删除顺序遵循外键依赖:先子表(user_roles / role_permissions / login_logs),
再父表(users / roles / permissions)。
"""
op.drop_table("user_roles")
op.drop_index("idx_role_permissions_permission_id", table_name="role_permissions")
op.drop_table("role_permissions")
op.drop_index("idx_login_logs_username", table_name="login_logs")
op.drop_index("idx_login_logs_create_time", table_name="login_logs")
op.drop_table("login_logs")
op.drop_index(op.f("idx_users_phone"), table_name="users")
op.drop_table("users")
op.drop_table("roles")
op.drop_table("permissions")
# ### end Alembic commands ###

View File

@ -0,0 +1,109 @@
"""新增操作日志表
Revision ID: a45a8087831b
Revises: 6165691326d4
Create Date: 2026-10-10 10:06:17.435697
"""
from collections.abc import Sequence
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import mysql
# revision identifiers, used by Alembic.
revision: str = "a45a8087831b"
down_revision: str | Sequence[str] | None = "6165691326d4"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
"""应用迁移。"""
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"operation_logs",
sa.Column(
"id", mysql.BIGINT(unsigned=True), autoincrement=True, nullable=False, comment="主键ID"
),
sa.Column(
"user_id",
mysql.BIGINT(unsigned=True),
nullable=True,
comment="操作人ID(账号删除后置空)",
),
sa.Column(
"username",
sa.String(length=64),
nullable=False,
comment="操作人用户名(冗余存储便于追溯)",
),
sa.Column("module", sa.String(length=64), nullable=False, comment="所属模块,如 用户管理"),
sa.Column(
"action", sa.String(length=32), nullable=False, comment="操作类型:新增/修改/删除/导出"
),
sa.Column(
"summary", sa.String(length=255), nullable=False, comment="操作摘要(中文,供人阅读)"
),
sa.Column("method", sa.String(length=8), nullable=True, comment="HTTP 方法"),
sa.Column("path", sa.String(length=255), nullable=True, comment="请求路径"),
sa.Column("ip", sa.String(length=45), nullable=True, comment="客户端IP(45位兼容IPv6)"),
sa.Column(
"user_agent",
sa.String(length=255),
nullable=True,
comment="客户端User-Agent(截断存储)",
),
sa.Column("request_data", sa.Text(), nullable=True, comment="请求参数(已脱敏)"),
sa.Column(
"success",
mysql.TINYINT(),
server_default="0",
nullable=False,
comment="是否成功:1成功 0失败",
),
sa.Column(
"error_message",
sa.String(length=500),
nullable=True,
comment="失败原因(写入方须截断)",
),
sa.Column("duration_ms", sa.Integer(), nullable=True, comment="处理耗时(毫秒)"),
sa.Column(
"create_time",
sa.DateTime(),
server_default=sa.text("CURRENT_TIMESTAMP"),
nullable=False,
comment="创建时间",
),
sa.ForeignKeyConstraint(
["user_id"], ["users.id"], name=op.f("fk_operation_logs_user_id"), ondelete="SET NULL"
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_operation_logs")),
comment="操作日志表",
mysql_charset="utf8mb4",
mysql_collate="utf8mb4_general_ci",
mysql_engine="InnoDB",
)
op.create_index(
"idx_operation_logs_create_time", "operation_logs", ["create_time"], unique=False
)
op.create_index("idx_operation_logs_module", "operation_logs", ["module"], unique=False)
op.create_index("idx_operation_logs_user_id", "operation_logs", ["user_id"], unique=False)
op.create_index("idx_operation_logs_username", "operation_logs", ["username"], unique=False)
# ### end Alembic commands ###
def downgrade() -> None:
"""回滚迁移。
**注意(autogenerate 不会替你处理)**:生成的 `op.drop_index` 与
`op.drop_table` 顺序需人工检查 —— 若某索引是外键的唯一支撑索引,
单独 drop_index 会报 MySQL 1553(needed in a foreign key constraint)。
**整表回滚应只保留 `op.drop_table`**,DROP TABLE 会连带删除索引与外键。
"""
# 整表回滚只保留 drop_table —— DROP TABLE 会连带删除索引与外键。
# 逐个 drop_index 会失败:idx_operation_logs_user_id 是外键
# fk_operation_logs_user_id 的唯一支撑索引,MySQL 拒绝删除(errno 1553)。
op.drop_table("operation_logs")

View File

@ -11,12 +11,14 @@
from app.models.base import Base, TimestampMixin
from app.models.login_log import LoginLog
from app.models.operation_log import OperationLog
from app.models.role import Permission, Role, RolePermission
from app.models.user import User, UserRole
__all__ = [
"Base",
"LoginLog",
"OperationLog",
"Permission",
"Role",
"RolePermission",

View File

@ -0,0 +1,98 @@
"""操作日志模型。
需求 2.5.1 要求「记录用户登录、操作行为及计提参数/系数表变更,支持日志查询」。
登录行为已在 `login_logs` 中单独记录(登录失败也要留痕,且不依赖认证上下文);
本表记录**已认证用户的操作行为**,两者分工明确、互不重叠。
不继承 TimestampMixin:日志是追加写、不可变的,没有"更新时间"语义。
"""
from datetime import datetime
from sqlalchemy import DateTime, ForeignKey, Index, Integer, String, Text, text
from sqlalchemy.orm import Mapped, mapped_column
from app.models.base import BIGINT_UNSIGNED, TINYINT_TYPE, Base, mysql_table_args
# 各文本列的上限。**写入方必须按此截断**,否则 MySQL 严格模式抛 1406
# (Data too long),而按"审计失败不得影响业务"的约定该异常会被吞掉 ——
# 结果是整条日志静默丢失。截断值集中定义于此,供 repository 层引用。
USERNAME_MAX_LEN = 64
MODULE_MAX_LEN = 64
ACTION_MAX_LEN = 32
SUMMARY_MAX_LEN = 255
PATH_MAX_LEN = 255
IP_MAX_LEN = 45
USER_AGENT_MAX_LEN = 255
ERROR_MESSAGE_MAX_LEN = 500
# request_data 是 MySQL TEXT(上限 65535 字节)。脱敏后的 JSON 可能超限
# (如批量操作提交数千个 ID),超限同样会抛 1406,故写入方需按字节截断。
REQUEST_DATA_MAX_BYTES = 60000
class OperationLog(Base):
"""操作日志表。
记录原则与 `login_logs` 一致:
- **请求参数必须脱敏后入库**(复用 `core.logging.scrub`),日志是最容易泄漏
密码与令牌的地方
- 用户名冗余存储而非只存 user_id —— 账号被删除后仍能追溯操作者,
故 `username` 单独建索引(与 `login_logs` 保持一致)
- 写入失败不得影响业务(审计可丢,业务不可断)
"""
__tablename__ = "operation_logs"
__table_args__ = mysql_table_args(
"操作日志表",
Index("idx_operation_logs_user_id", "user_id"),
# 账号删除后 user_id 被置空,只能按用户名追溯,故该列必须有索引,
# 否则日志表增长后查询退化为全表扫描
Index("idx_operation_logs_username", "username"),
Index("idx_operation_logs_module", "module"),
Index("idx_operation_logs_create_time", "create_time"),
)
id: Mapped[int] = mapped_column(
BIGINT_UNSIGNED, primary_key=True, autoincrement=True, comment="主键ID"
)
user_id: Mapped[int | None] = mapped_column(
BIGINT_UNSIGNED,
ForeignKey("users.id", ondelete="SET NULL"),
comment="操作人ID(账号删除后置空)",
)
username: Mapped[str] = mapped_column(
String(USERNAME_MAX_LEN), nullable=False, comment="操作人用户名(冗余存储便于追溯)"
)
module: Mapped[str] = mapped_column(
String(MODULE_MAX_LEN), nullable=False, comment="所属模块,如 用户管理"
)
action: Mapped[str] = mapped_column(
String(ACTION_MAX_LEN), nullable=False, comment="操作类型:新增/修改/删除/导出"
)
summary: Mapped[str] = mapped_column(
String(SUMMARY_MAX_LEN), nullable=False, comment="操作摘要(中文,供人阅读)"
)
method: Mapped[str | None] = mapped_column(String(8), comment="HTTP 方法")
path: Mapped[str | None] = mapped_column(String(PATH_MAX_LEN), comment="请求路径")
ip: Mapped[str | None] = mapped_column(String(IP_MAX_LEN), comment="客户端IP(45位兼容IPv6)")
user_agent: Mapped[str | None] = mapped_column(
String(USER_AGENT_MAX_LEN), comment="客户端User-Agent(截断存储)"
)
# 请求参数,**入库前已脱敏**;长文本故用 TEXT
request_data: Mapped[str | None] = mapped_column(Text, comment="请求参数(已脱敏)")
# 默认 0 而非 1:与 login_logs 保持一致,且方向更保守 ——
# 写入方漏传时记为「失败」,管理员会去核查;反之漏传记为「成功」则是
# 审计漏报,且无声无息。写入方应显式传值(见 repository 层)。
success: Mapped[int] = mapped_column(
TINYINT_TYPE, nullable=False, server_default="0", comment="是否成功:1成功 0失败"
)
error_message: Mapped[str | None] = mapped_column(
String(ERROR_MESSAGE_MAX_LEN), comment="失败原因(写入方须截断)"
)
duration_ms: Mapped[int | None] = mapped_column(Integer, comment="处理耗时(毫秒)")
create_time: Mapped[datetime] = mapped_column(
DateTime, nullable=False, server_default=text("CURRENT_TIMESTAMP"), comment="创建时间"
)

View File

@ -1,13 +1,16 @@
"""DDL 漂移检测。
结构定义同时存在于两处:
- `db/migration/V1__*.sql` —— 事实来源,生产迁移用
- `db/migration/V*.sql` —— 事实来源,生产迁移用
- `db/init/init-dev.sql` —— 开发环境重置脚本,Docker 首次启动唯一会自动执行的位置
两份 DDL 手工同步迟早会漂移,且后果隐蔽:开发库的表结构与迁移脚本不一致,
新人克隆下来建出的库和生产不一样,等到上线才发现。
本测试把「靠自觉」变成「可自动拦截」,成本极低。
**必须比对全部 V*.sql 的合集**:早期版本只解析 V1,新增 V2 之后,
两份 DDL 同时缺表仍会被判为「一致」,漂移守卫形同虚设。
注:本文件不需要容器,放在 integration 下是因为它校验的是交付产物而非应用代码。
"""
@ -17,8 +20,9 @@ from pathlib import Path
import pytest
PROJECT_ROOT = Path(__file__).resolve().parents[3]
MIGRATION_FILE = PROJECT_ROOT / "db" / "migration" / "V1__init_rbac_and_login_logs.sql"
MIGRATION_DIR = PROJECT_ROOT / "db" / "migration"
INIT_DEV_FILE = PROJECT_ROOT / "db" / "init" / "init-dev.sql"
ALEMBIC_VERSIONS_DIR = PROJECT_ROOT / "backend" / "alembic" / "versions"
_CREATE_TABLE = re.compile(r"CREATE TABLE\s+`?(\w+)`?\s*\((.*?)\n\)", re.DOTALL)
_COLUMN_LINE = re.compile(r"^\s{4}`?(\w+)`?\s", re.MULTILINE)
@ -38,9 +42,38 @@ def _parse_tables(sql: str) -> dict[str, set[str]]:
return tables
def _alembic_head() -> str:
"""从迁移脚本推断当前 head 版本号。
纯文本解析而非调用 alembic 运行时 —— 后者需要连数据库,会让本测试
从「秒级、无需容器」变成「必须起库」。
head 的定义:没有被任何其他迁移的 down_revision 引用过的那个 revision。
"""
revisions: set[str] = set()
referenced: set[str] = set()
for path in ALEMBIC_VERSIONS_DIR.glob("*.py"):
text = path.read_text(encoding="utf-8")
if found := re.search(r"^revision: str = ['\"](\w+)['\"]", text, re.MULTILINE):
revisions.add(found.group(1))
if found := re.search(r"^down_revision:.*?= ['\"](\w+)['\"]", text, re.MULTILINE):
referenced.add(found.group(1))
heads = revisions - referenced
assert len(heads) == 1, f"迁移链存在分叉或缺失,heads={sorted(heads)}"
return heads.pop()
@pytest.fixture(scope="module")
def migration_tables() -> dict[str, set[str]]:
return _parse_tables(MIGRATION_FILE.read_text(encoding="utf-8"))
"""合并解析 db/migration/ 下全部 V*.sql。"""
files = sorted(MIGRATION_DIR.glob("V*.sql"))
assert files, f"未找到迁移脚本:{MIGRATION_DIR}"
merged: dict[str, set[str]] = {}
for path in files:
for table, columns in _parse_tables(path.read_text(encoding="utf-8")).items():
merged.setdefault(table, set()).update(columns)
return merged
@pytest.fixture(scope="module")
@ -52,7 +85,7 @@ class TestSchemaSync:
"""两份 DDL 的结构一致性。"""
def test_文件存在(self) -> None:
assert MIGRATION_FILE.is_file(), f"缺少迁移脚本:{MIGRATION_FILE}"
assert list(MIGRATION_DIR.glob("V*.sql")), f"缺少迁移脚本:{MIGRATION_DIR}"
assert INIT_DEV_FILE.is_file(), f"缺少开发初始化脚本:{INIT_DEV_FILE}"
def test_表集合一致(self, migration_tables: dict, init_dev_tables: dict) -> None:
@ -74,16 +107,28 @@ class TestSchemaSync:
class TestSeedData:
"""字典数据在两处应保持同步。"""
"""字典数据与版本标记。"""
@pytest.mark.parametrize("role_code", ["admin", "user"])
def test_角色初始化数据在两处都存在(self, role_code: str) -> None:
migration_sql = MIGRATION_FILE.read_text(encoding="utf-8")
migration_sql = "\n".join(
path.read_text(encoding="utf-8") for path in sorted(MIGRATION_DIR.glob("V*.sql"))
)
init_sql = INIT_DEV_FILE.read_text(encoding="utf-8")
assert f"'{role_code}'" in migration_sql
assert f"'{role_code}'" in init_sql
def test_开发脚本标记了迁移版本(self) -> None:
"""不写 alembic_version 的话,在开发库上执行 upgrade head 会重复建表而失败。"""
def test_开发脚本标记的版本号等于当前head(self) -> None:
"""版本号必须等于 head,且不能只断言「存在」。
落后的后果:开发库重建后执行 `alembic upgrade head`,alembic 认为该迁移
尚未应用,重复建表并报 1050 Table already exists,只能手工补版本或 down -v。
"""
init_sql = INIT_DEV_FILE.read_text(encoding="utf-8")
assert "INSERT INTO alembic_version" in init_sql
found = re.search(
r"INSERT INTO alembic_version \(version_num\) VALUES \('(\w+)'\)", init_sql
)
assert found, "init-dev.sql 未写入 alembic_version"
assert found.group(1) == _alembic_head(), (
f"init-dev.sql 标记的版本号 {found.group(1)!r} 落后于当前 head {_alembic_head()!r}"
)

View File

@ -11,7 +11,15 @@ from sqlalchemy.dialects import mysql
from app.models import Base
EXPECTED_TABLES = {"users", "roles", "user_roles", "permissions", "role_permissions", "login_logs"}
EXPECTED_TABLES = {
"users",
"roles",
"user_roles",
"permissions",
"role_permissions",
"login_logs",
"operation_logs",
}
def _ddl(table_name: str) -> str:
@ -101,7 +109,7 @@ class TestTimestampColumns:
def test_带时间戳的表含ON_UPDATE子句(self, table_name: str) -> None:
assert "ON UPDATE CURRENT_TIMESTAMP" in _ddl(table_name)
@pytest.mark.parametrize("table_name", ["login_logs"])
@pytest.mark.parametrize("table_name", ["login_logs", "operation_logs"])
def test_仅追加的日志表不含ON_UPDATE子句(self, table_name: str) -> None:
"""日志是不可变记录,没有"更新时间"语义。"""
assert "ON UPDATE CURRENT_TIMESTAMP" not in _ddl(table_name)

View File

@ -5,16 +5,18 @@
-- 数据卷已存在时修改本文件不会生效,需要:
-- docker compose -f docker/docker-compose.dev.yml down -v && up -d
--
-- 内容 = V1 迁移的完整结构(额外带 DROP,开发环境允许重置)
-- 与 db/migration/V1__init_rbac_and_login_logs.sql 必须保持一致,
-- 内容 = db/migration/ 下**全部迁移**的最终结构(额外带 DROP,开发环境允许重置)
-- 必须与 db/migration/V*.sql 的合集保持一致,
-- 由 backend/tests/integration/test_schema_sync.py 自动校验,防止两份 DDL 漂移
--
-- 结尾写入 alembic_version 记录,使 `alembic upgrade head` 在本库上成为空操作
-- 结尾写入 alembic_version 记录(**须等于当前 head**,否则开发库重建后
-- 执行 alembic upgrade head 会重复建表并报 1050 Table already exists)
-- ============================================================================
SET NAMES utf8mb4;
-- 删除顺序遵循外键依赖:先删子表
DROP TABLE IF EXISTS `operation_logs`;
DROP TABLE IF EXISTS `role_permissions`;
DROP TABLE IF EXISTS `user_roles`;
DROP TABLE IF EXISTS `login_logs`;
@ -134,6 +136,37 @@ CREATE TABLE user_roles (
CREATE INDEX idx_user_roles_role_id ON user_roles (role_id);
-- ---------------------------------------------------------------------------
-- 操作日志表(V2 迁移)
-- ---------------------------------------------------------------------------
CREATE TABLE operation_logs (
id BIGINT UNSIGNED NOT NULL COMMENT '主键ID' AUTO_INCREMENT,
user_id BIGINT UNSIGNED COMMENT '操作人ID(账号删除后置空)',
username VARCHAR(64) NOT NULL COMMENT '操作人用户名(冗余存储便于追溯)',
module VARCHAR(64) NOT NULL COMMENT '所属模块,如 用户管理',
action VARCHAR(32) NOT NULL COMMENT '操作类型:新增/修改/删除/导出',
summary VARCHAR(255) NOT NULL COMMENT '操作摘要(中文,供人阅读)',
method VARCHAR(8) COMMENT 'HTTP 方法',
path VARCHAR(255) COMMENT '请求路径',
ip VARCHAR(45) COMMENT '客户端IP(45位兼容IPv6)',
user_agent VARCHAR(255) COMMENT '客户端User-Agent(截断存储)',
request_data TEXT COMMENT '请求参数(已脱敏)',
success TINYINT NOT NULL COMMENT '是否成功:1成功 0失败' DEFAULT '0',
error_message VARCHAR(500) COMMENT '失败原因(写入方须截断)',
duration_ms INTEGER COMMENT '处理耗时(毫秒)',
create_time DATETIME NOT NULL COMMENT '创建时间' DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT pk_operation_logs PRIMARY KEY (id),
CONSTRAINT fk_operation_logs_user_id FOREIGN KEY(user_id) REFERENCES users (id) ON DELETE SET NULL
)CHARSET=utf8mb4 ENGINE=InnoDB COMMENT='操作日志表' COLLATE utf8mb4_general_ci;
CREATE INDEX idx_operation_logs_create_time ON operation_logs (create_time);
CREATE INDEX idx_operation_logs_module ON operation_logs (module);
CREATE INDEX idx_operation_logs_user_id ON operation_logs (user_id);
CREATE INDEX idx_operation_logs_username ON operation_logs (username);
-- ---------------------------------------------------------------------------
-- 字典数据:角色(与 V1 迁移中的初始化数据一致)
-- ---------------------------------------------------------------------------
@ -142,11 +175,11 @@ INSERT INTO roles (role_code, role_name, description, sort_order) VALUES ('admin
INSERT INTO roles (role_code, role_name, description, sort_order) VALUES ('user', '普通用户', '业务操作', 2);
-- ---------------------------------------------------------------------------
-- 迁移版本记录:标记 V1 已应用,使 alembic upgrade head 成为空操作
-- 迁移版本记录:须等于当前 head,使 alembic upgrade head 成为空操作
-- ---------------------------------------------------------------------------
CREATE TABLE alembic_version (
version_num VARCHAR(32) NOT NULL,
CONSTRAINT alembic_version_pkc PRIMARY KEY (version_num)
)CHARSET=utf8mb4 ENGINE=InnoDB COLLATE utf8mb4_general_ci;
INSERT INTO alembic_version (version_num) VALUES ('6165691326d4');
INSERT INTO alembic_version (version_num) VALUES ('a45a8087831b');

View File

@ -0,0 +1,32 @@
-- Running upgrade 6165691326d4 -> a45a8087831b
CREATE TABLE operation_logs (
id BIGINT UNSIGNED NOT NULL COMMENT '主键ID' AUTO_INCREMENT,
user_id BIGINT UNSIGNED COMMENT '操作人ID(账号删除后置空)',
username VARCHAR(64) NOT NULL COMMENT '操作人用户名(冗余存储便于追溯)',
module VARCHAR(64) NOT NULL COMMENT '所属模块,如 用户管理',
action VARCHAR(32) NOT NULL COMMENT '操作类型:新增/修改/删除/导出',
summary VARCHAR(255) NOT NULL COMMENT '操作摘要(中文,供人阅读)',
method VARCHAR(8) COMMENT 'HTTP 方法',
path VARCHAR(255) COMMENT '请求路径',
ip VARCHAR(45) COMMENT '客户端IP(45位兼容IPv6)',
user_agent VARCHAR(255) COMMENT '客户端User-Agent(截断存储)',
request_data TEXT COMMENT '请求参数(已脱敏)',
success TINYINT NOT NULL COMMENT '是否成功:1成功 0失败' DEFAULT '0',
error_message VARCHAR(500) COMMENT '失败原因(写入方须截断)',
duration_ms INTEGER COMMENT '处理耗时(毫秒)',
create_time DATETIME NOT NULL COMMENT '创建时间' DEFAULT CURRENT_TIMESTAMP,
CONSTRAINT pk_operation_logs PRIMARY KEY (id),
CONSTRAINT fk_operation_logs_user_id FOREIGN KEY(user_id) REFERENCES users (id) ON DELETE SET NULL
)CHARSET=utf8mb4 ENGINE=InnoDB COMMENT='操作日志表' COLLATE utf8mb4_general_ci;
CREATE INDEX idx_operation_logs_create_time ON operation_logs (create_time);
CREATE INDEX idx_operation_logs_module ON operation_logs (module);
CREATE INDEX idx_operation_logs_user_id ON operation_logs (user_id);
CREATE INDEX idx_operation_logs_username ON operation_logs (username);
UPDATE alembic_version SET version_num='a45a8087831b' WHERE alembic_version.version_num = '6165691326d4';