- 新增图像生成接口,支持试用、积分和自定义API Key模式 - 实现生成图片结果异步上传至MinIO存储,带重试机制 - 优化积分预扣除和异常退还逻辑,保障用户积分准确 - 添加获取生成历史记录接口,支持时间范围和分页 - 提供本地字典配置接口,支持模型、比例、提示模板和尺寸 - 实现图片批量上传接口,支持S3兼容对象存储 feat(admin): 增加管理员角色管理与权限分配接口 - 实现角色列表查询、角色创建、更新及删除功能 - 增加权限列表查询接口 - 实现用户角色分配接口,便于统一管理用户权限 - 增加系统字典增删查改接口,支持分类过滤和排序 - 权限控制全面覆盖管理接口,保证安全访问 feat(auth): 完善用户登录注册及权限相关接口与页面 - 实现手机号验证码发送及校验功能,保障注册安全 - 支持手机号注册、登录及退出接口,集成日志记录 - 增加修改密码功能,验证原密码后更新 - 提供动态导航菜单接口,基于权限展示不同菜单 - 实现管理界面路由及日志、角色、字典管理页面访问权限控制 - 添加系统日志查询接口,支持关键词和等级筛选 feat(app): 初始化Flask应用并配置蓝图与数据库 - 创建应用程序工厂,加载配置,初始化数据库和Redis客户端 - 注册认证、API及管理员蓝图,整合路由 - 根路由渲染主页模板 - 应用上下文中自动创建数据库表,保证运行环境准备完毕 feat(database): 提供数据库创建与迁移支持脚本 - 新增数据库创建脚本,支持自动检测是否已存在 - 添加数据库表初始化脚本,支持创建和删除所有表 - 实现RBAC权限初始化,包含基础权限和角色创建 - 新增字段手动修复脚本,添加用户API Key和积分字段 - 强制迁移脚本支持清理连接和修复表结构,初始化默认数据及角色分配 feat(config): 新增系统配置参数 - 配置数据库、Redis、Session和MinIO相关参数 - 添加AI接口地址及试用Key配置 - 集成阿里云短信服务配置及开发模式相关参数 feat(extensions): 初始化数据库、Redis和MinIO客户端 - 创建全局SQLAlchemy数据库实例和Redis客户端 - 配置基于boto3的MinIO兼容S3客户端 chore(logs): 添加示例系统日志文件 - 记录用户请求、验证码发送成功与失败的日志信息
174 lines
5.8 KiB
Python
174 lines
5.8 KiB
Python
import pickle
|
|
|
|
from apscheduler.job import Job
|
|
from apscheduler.jobstores.base import BaseJobStore, ConflictingIdError, JobLookupError
|
|
from apscheduler.util import (
|
|
datetime_to_utc_timestamp,
|
|
maybe_ref,
|
|
utc_timestamp_to_datetime,
|
|
)
|
|
|
|
try:
|
|
from rethinkdb import RethinkDB
|
|
except ImportError as exc: # pragma: nocover
|
|
raise ImportError("RethinkDBJobStore requires rethinkdb installed") from exc
|
|
|
|
|
|
class RethinkDBJobStore(BaseJobStore):
|
|
"""
|
|
Stores jobs in a RethinkDB database. Any leftover keyword arguments are directly passed to
|
|
rethinkdb's `RethinkdbClient <http://www.rethinkdb.com/api/#connect>`_.
|
|
|
|
Plugin alias: ``rethinkdb``
|
|
|
|
:param str database: database to store jobs in
|
|
:param str collection: collection to store jobs in
|
|
:param client: a :class:`rethinkdb.net.Connection` instance to use instead of providing
|
|
connection arguments
|
|
:param int pickle_protocol: pickle protocol level to use (for serialization), defaults to the
|
|
highest available
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
database="apscheduler",
|
|
table="jobs",
|
|
client=None,
|
|
pickle_protocol=pickle.HIGHEST_PROTOCOL,
|
|
**connect_args,
|
|
):
|
|
super().__init__()
|
|
|
|
if not database:
|
|
raise ValueError('The "database" parameter must not be empty')
|
|
if not table:
|
|
raise ValueError('The "table" parameter must not be empty')
|
|
|
|
self.database = database
|
|
self.table_name = table
|
|
self.table = None
|
|
self.client = client
|
|
self.pickle_protocol = pickle_protocol
|
|
self.connect_args = connect_args
|
|
self.r = RethinkDB()
|
|
self.conn = None
|
|
|
|
def start(self, scheduler, alias):
|
|
super().start(scheduler, alias)
|
|
|
|
if self.client:
|
|
self.conn = maybe_ref(self.client)
|
|
else:
|
|
self.conn = self.r.connect(db=self.database, **self.connect_args)
|
|
|
|
if self.database not in self.r.db_list().run(self.conn):
|
|
self.r.db_create(self.database).run(self.conn)
|
|
|
|
if self.table_name not in self.r.table_list().run(self.conn):
|
|
self.r.table_create(self.table_name).run(self.conn)
|
|
|
|
if "next_run_time" not in self.r.table(self.table_name).index_list().run(
|
|
self.conn
|
|
):
|
|
self.r.table(self.table_name).index_create("next_run_time").run(self.conn)
|
|
|
|
self.table = self.r.db(self.database).table(self.table_name)
|
|
|
|
def lookup_job(self, job_id):
|
|
results = list(self.table.get_all(job_id).pluck("job_state").run(self.conn))
|
|
return self._reconstitute_job(results[0]["job_state"]) if results else None
|
|
|
|
def get_due_jobs(self, now):
|
|
return self._get_jobs(
|
|
self.r.row["next_run_time"] <= datetime_to_utc_timestamp(now)
|
|
)
|
|
|
|
def get_next_run_time(self):
|
|
results = list(
|
|
self.table.filter(self.r.row["next_run_time"] != None)
|
|
.order_by(self.r.asc("next_run_time"))
|
|
.map(lambda x: x["next_run_time"])
|
|
.limit(1)
|
|
.run(self.conn)
|
|
)
|
|
return utc_timestamp_to_datetime(results[0]) if results else None
|
|
|
|
def get_all_jobs(self):
|
|
jobs = self._get_jobs()
|
|
self._fix_paused_jobs_sorting(jobs)
|
|
return jobs
|
|
|
|
def add_job(self, job):
|
|
job_dict = {
|
|
"id": job.id,
|
|
"next_run_time": datetime_to_utc_timestamp(job.next_run_time),
|
|
"job_state": self.r.binary(
|
|
pickle.dumps(job.__getstate__(), self.pickle_protocol)
|
|
),
|
|
}
|
|
results = self.table.insert(job_dict).run(self.conn)
|
|
if results["errors"] > 0:
|
|
raise ConflictingIdError(job.id)
|
|
|
|
def update_job(self, job):
|
|
changes = {
|
|
"next_run_time": datetime_to_utc_timestamp(job.next_run_time),
|
|
"job_state": self.r.binary(
|
|
pickle.dumps(job.__getstate__(), self.pickle_protocol)
|
|
),
|
|
}
|
|
results = self.table.get_all(job.id).update(changes).run(self.conn)
|
|
skipped = False in map(lambda x: results[x] == 0, results.keys())
|
|
if results["skipped"] > 0 or results["errors"] > 0 or not skipped:
|
|
raise JobLookupError(job.id)
|
|
|
|
def remove_job(self, job_id):
|
|
results = self.table.get_all(job_id).delete().run(self.conn)
|
|
if results["deleted"] + results["skipped"] != 1:
|
|
raise JobLookupError(job_id)
|
|
|
|
def remove_all_jobs(self):
|
|
self.table.delete().run(self.conn)
|
|
|
|
def shutdown(self):
|
|
self.conn.close()
|
|
|
|
def _reconstitute_job(self, job_state):
|
|
job_state = pickle.loads(job_state)
|
|
job = Job.__new__(Job)
|
|
job.__setstate__(job_state)
|
|
job._scheduler = self._scheduler
|
|
job._jobstore_alias = self._alias
|
|
return job
|
|
|
|
def _get_jobs(self, predicate=None):
|
|
jobs = []
|
|
failed_job_ids = []
|
|
query = (
|
|
self.table.filter(self.r.row["next_run_time"] != None).filter(predicate)
|
|
if predicate
|
|
else self.table
|
|
)
|
|
query = query.order_by("next_run_time", "id").pluck("id", "job_state")
|
|
|
|
for document in query.run(self.conn):
|
|
try:
|
|
jobs.append(self._reconstitute_job(document["job_state"]))
|
|
except Exception:
|
|
self._logger.exception(
|
|
'Unable to restore job "%s" -- removing it', document["id"]
|
|
)
|
|
failed_job_ids.append(document["id"])
|
|
|
|
# Remove all the jobs we failed to restore
|
|
if failed_job_ids:
|
|
self.r.expr(failed_job_ids).for_each(
|
|
lambda job_id: self.table.get_all(job_id).delete()
|
|
).run(self.conn)
|
|
|
|
return jobs
|
|
|
|
def __repr__(self):
|
|
connection = self.conn
|
|
return f"<{self.__class__.__name__} (connection={connection})>"
|