- 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
206 lines
6.9 KiB
Python
206 lines
6.9 KiB
Python
import logging
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import sys
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import traceback
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from abc import ABCMeta, abstractmethod
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from collections import defaultdict
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from datetime import datetime, timedelta, timezone
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from traceback import format_tb
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from apscheduler.events import (
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EVENT_JOB_ERROR,
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EVENT_JOB_EXECUTED,
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EVENT_JOB_MISSED,
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JobExecutionEvent,
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)
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class MaxInstancesReachedError(Exception):
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def __init__(self, job):
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super().__init__(
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f'Job "{job.id}" has already reached its maximum number of instances '
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f"({job.max_instances})"
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)
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class BaseExecutor(metaclass=ABCMeta):
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"""Abstract base class that defines the interface that every executor must implement."""
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_scheduler = None
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_lock = None
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_logger = logging.getLogger("apscheduler.executors")
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def __init__(self):
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super().__init__()
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self._instances = defaultdict(lambda: 0)
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def start(self, scheduler, alias):
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"""
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Called by the scheduler when the scheduler is being started or when the executor is being
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added to an already running scheduler.
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:param apscheduler.schedulers.base.BaseScheduler scheduler: the scheduler that is starting
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this executor
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:param str|unicode alias: alias of this executor as it was assigned to the scheduler
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"""
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self._scheduler = scheduler
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self._lock = scheduler._create_lock()
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self._logger = logging.getLogger(f"apscheduler.executors.{alias}")
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def shutdown(self, wait=True):
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"""
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Shuts down this executor.
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:param bool wait: ``True`` to wait until all submitted jobs
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have been executed
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"""
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def submit_job(self, job, run_times):
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"""
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Submits job for execution.
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:param Job job: job to execute
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:param list[datetime] run_times: list of datetimes specifying
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when the job should have been run
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:raises MaxInstancesReachedError: if the maximum number of
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allowed instances for this job has been reached
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"""
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assert self._lock is not None, "This executor has not been started yet"
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with self._lock:
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if self._instances[job.id] >= job.max_instances:
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raise MaxInstancesReachedError(job)
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self._do_submit_job(job, run_times)
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self._instances[job.id] += 1
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@abstractmethod
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def _do_submit_job(self, job, run_times):
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"""Performs the actual task of scheduling `run_job` to be called."""
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def _run_job_success(self, job_id, events):
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"""
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Called by the executor with the list of generated events when :func:`run_job` has been
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successfully called.
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"""
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with self._lock:
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self._instances[job_id] -= 1
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if self._instances[job_id] == 0:
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del self._instances[job_id]
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for event in events:
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self._scheduler._dispatch_event(event)
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def _run_job_error(self, job_id, exc, traceback=None):
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"""Called by the executor with the exception if there is an error calling `run_job`."""
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with self._lock:
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self._instances[job_id] -= 1
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if self._instances[job_id] == 0:
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del self._instances[job_id]
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exc_info = (exc.__class__, exc, traceback)
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self._logger.error("Error running job %s", job_id, exc_info=exc_info)
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def run_job(job, jobstore_alias, run_times, logger_name):
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"""
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Called by executors to run the job. Returns a list of scheduler events to be dispatched by the
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scheduler.
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"""
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events = []
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logger = logging.getLogger(logger_name)
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for run_time in run_times:
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# See if the job missed its run time window, and handle
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# possible misfires accordingly
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if job.misfire_grace_time is not None:
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difference = datetime.now(timezone.utc) - run_time
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grace_time = timedelta(seconds=job.misfire_grace_time)
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if difference > grace_time:
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events.append(
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JobExecutionEvent(
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EVENT_JOB_MISSED, job.id, jobstore_alias, run_time
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)
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)
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logger.warning('Run time of job "%s" was missed by %s', job, difference)
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continue
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logger.info('Running job "%s" (scheduled at %s)', job, run_time)
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try:
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retval = job.func(*job.args, **job.kwargs)
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except BaseException:
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exc, tb = sys.exc_info()[1:]
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formatted_tb = "".join(format_tb(tb))
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events.append(
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JobExecutionEvent(
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EVENT_JOB_ERROR,
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job.id,
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jobstore_alias,
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run_time,
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exception=exc,
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traceback=formatted_tb,
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)
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)
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logger.exception('Job "%s" raised an exception', job)
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# This is to prevent cyclic references that would lead to memory leaks
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traceback.clear_frames(tb)
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del tb
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else:
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events.append(
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JobExecutionEvent(
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EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time, retval=retval
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)
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)
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logger.info('Job "%s" executed successfully', job)
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return events
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async def run_coroutine_job(job, jobstore_alias, run_times, logger_name):
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"""Coroutine version of run_job()."""
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events = []
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logger = logging.getLogger(logger_name)
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for run_time in run_times:
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# See if the job missed its run time window, and handle possible misfires accordingly
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if job.misfire_grace_time is not None:
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difference = datetime.now(timezone.utc) - run_time
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grace_time = timedelta(seconds=job.misfire_grace_time)
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if difference > grace_time:
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events.append(
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JobExecutionEvent(
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EVENT_JOB_MISSED, job.id, jobstore_alias, run_time
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)
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)
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logger.warning('Run time of job "%s" was missed by %s', job, difference)
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continue
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logger.info('Running job "%s" (scheduled at %s)', job, run_time)
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try:
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retval = await job.func(*job.args, **job.kwargs)
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except BaseException:
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exc, tb = sys.exc_info()[1:]
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formatted_tb = "".join(format_tb(tb))
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events.append(
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JobExecutionEvent(
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EVENT_JOB_ERROR,
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job.id,
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jobstore_alias,
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run_time,
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exception=exc,
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traceback=formatted_tb,
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)
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)
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logger.exception('Job "%s" raised an exception', job)
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traceback.clear_frames(tb)
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else:
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events.append(
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JobExecutionEvent(
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EVENT_JOB_EXECUTED, job.id, jobstore_alias, run_time, retval=retval
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)
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)
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logger.info('Job "%s" executed successfully', job)
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return events
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