243 lines
9.9 KiB
Python
243 lines
9.9 KiB
Python
import asyncio
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import datetime
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import time
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import traceback
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import os
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from typing import Dict, Any
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from src.common.logger import get_logger
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from src.plugin_system.apis import llm_api, config_api
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from src.manager.schedule_manager import schedule_manager
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# 导入工具模块
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import sys
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sys.path.append(os.path.dirname(__file__))
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from qzone_utils import QZoneManager, get_send_history
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# 获取日志记录器
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logger = get_logger('MaiZone-Scheduler')
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class ScheduleManager:
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"""定时任务管理器 - 根据日程表定时发送说说"""
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def __init__(self, plugin):
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"""初始化定时任务管理器"""
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self.plugin = plugin
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self.is_running = False
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self.task = None
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self.last_activity_hash = None # 记录上次处理的活动哈希，避免重复发送
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logger.info("定时任务管理器初始化完成 - 将根据日程表发送说说")
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async def start(self):
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"""启动定时任务"""
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if self.is_running:
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logger.warning("定时任务已在运行中")
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return
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self.is_running = True
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self.task = asyncio.create_task(self._schedule_loop())
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logger.info("定时发送说说任务已启动 - 基于日程表")
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async def stop(self):
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"""停止定时任务"""
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if not self.is_running:
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return
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self.is_running = False
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if self.task:
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self.task.cancel()
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try:
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await self.task
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except asyncio.CancelledError:
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logger.info("定时任务已被取消")
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logger.info("定时发送说说任务已停止")
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async def _schedule_loop(self):
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"""定时任务主循环 - 根据日程表检查活动"""
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while self.is_running:
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try:
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# 检查定时任务是否启用
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if not self.plugin.get_config("schedule.enable_schedule", False):
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logger.info("定时任务已禁用，等待下次检查")
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await asyncio.sleep(60)
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continue
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# 获取当前活动
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current_activity = schedule_manager.get_current_activity()
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if current_activity:
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# 生成当前活动的哈希以避免重复发送
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current_time = datetime.datetime.now().strftime("%Y-%m-%d %H:%M")
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activity_hash = f"{current_time}_{current_activity}"
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# 检查是否已经为这个活动发送过说说
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if activity_hash != self.last_activity_hash:
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logger.info(f"检测到新的日程活动: {current_activity}")
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await self._execute_schedule_based_send(current_activity)
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self.last_activity_hash = activity_hash
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else:
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logger.debug(f"当前活动已处理过: {current_activity}")
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else:
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logger.debug("当前时间没有日程活动")
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# 每5分钟检查一次，避免频繁检查
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await asyncio.sleep(300)
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except asyncio.CancelledError:
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logger.info("定时任务循环被取消")
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break
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except Exception as e:
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logger.error(f"定时任务循环出错: {str(e)}")
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logger.error(traceback.format_exc())
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# 出错后等待5分钟再重试
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await asyncio.sleep(300)
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async def _execute_schedule_based_send(self, activity: str) -> bool:
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"""根据日程活动执行发送任务"""
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try:
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logger.info(f"根据日程活动生成说说: {activity}")
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# 生成基于活动的说说内容
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story = await self._generate_activity_story(activity)
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if not story:
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logger.error("生成活动相关说说内容失败")
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return False
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logger.info(f"基于日程活动生成说说内容: '{story}'")
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# 处理配图
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await self._handle_images(story)
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# 发送说说
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success = await self._send_scheduled_feed(story)
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if success:
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logger.info(f"基于日程活动的说说发送成功: {story}")
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else:
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logger.error(f"基于日程活动的说说发送失败: {activity}")
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return success
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except Exception as e:
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logger.error(f"执行基于日程的发送任务失败: {str(e)}")
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return False
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async def _generate_activity_story(self, activity: str) -> str:
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"""根据日程活动生成说说内容"""
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try:
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# 获取模型配置
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models = llm_api.get_available_models()
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text_model = str(self.plugin.get_config("models.text_model", "replyer_1"))
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model_config = models.get(text_model)
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if not model_config:
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logger.error("未配置LLM模型")
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return ""
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# 获取机器人信息
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bot_personality = config_api.get_global_config("personality.personality_core", "一个机器人")
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bot_expression = config_api.get_global_config("expression.expression_style", "内容积极向上")
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qq_account = config_api.get_global_config("bot.qq_account", "")
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# 构建基于活动的提示词
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prompt = f"""
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你是'{bot_personality}'，根据你当前的日程安排，你正在'{activity}'。
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请基于这个活动写一条说说发表在qq空间上，
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{bot_expression}
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说说内容应该自然地反映你正在做的事情或你的想法，
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不要刻意突出自身学科背景，不要浮夸，不要夸张修辞，可以适当使用颜文字，
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只输出一条说说正文的内容，不要有其他的任何正文以外的冗余输出
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注意：
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- 如果活动是学习相关的，可以分享学习心得或感受
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- 如果活动是休息相关的，可以分享放松的感受
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- 如果活动是日常生活相关的，可以分享生活感悟
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- 让说说内容贴近你当前正在做的事情，显得自然真实
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"""
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# 添加历史记录避免重复
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prompt += "\n\n以下是你最近发过的说说，写新说说时注意不要在相隔不长的时间发送相似内容的说说\n"
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history_block = await get_send_history(qq_account)
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if history_block:
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prompt += history_block
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# 生成内容
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success, story, reasoning, model_name = await llm_api.generate_with_model(
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prompt=prompt,
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model_config=model_config,
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request_type="story.generate",
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temperature=0.7, # 稍微提高创造性
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max_tokens=1000
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)
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if success:
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return story
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else:
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logger.error("生成基于活动的说说内容失败")
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return ""
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except Exception as e:
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logger.error(f"生成基于活动的说说内容异常: {str(e)}")
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return ""
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async def _handle_images(self, story: str):
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"""处理定时说说配图"""
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try:
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enable_ai_image = bool(self.plugin.get_config("send.enable_ai_image", False))
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apikey = str(self.plugin.get_config("models.siliconflow_apikey", ""))
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image_dir = str(self.plugin.get_config("send.image_directory", "./plugins/Maizone/images"))
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image_num = int(self.plugin.get_config("send.ai_image_number", 1) or 1)
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if enable_ai_image and apikey:
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from qzone_utils import generate_image_by_sf
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await generate_image_by_sf(
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api_key=apikey,
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story=story,
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image_dir=image_dir,
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batch_size=image_num
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)
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logger.info("基于日程活动的AI配图生成完成")
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elif enable_ai_image and not apikey:
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logger.warning('启用了AI配图但未填写API密钥')
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except Exception as e:
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logger.error(f"处理基于日程的说说配图失败: {str(e)}")
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async def _send_scheduled_feed(self, story: str) -> bool:
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"""发送基于日程的说说"""
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try:
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# 获取配置
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qq_account = config_api.get_global_config("bot.qq_account", "")
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enable_image = self.plugin.get_config("send.enable_image", False)
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image_dir = str(self.plugin.get_config("send.image_directory", "./plugins/Maizone/images"))
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# 创建QZone管理器并发送 (定时任务不需要stream_id)
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qzone_manager = QZoneManager()
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success = await qzone_manager.send_feed(story, image_dir, qq_account, enable_image)
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if success:
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logger.info(f"基于日程的说说发送成功: {story}")
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else:
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logger.error("基于日程的说说发送失败")
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return success
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except Exception as e:
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logger.error(f"发送基于日程的说说失败: {str(e)}")
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return False
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def get_status(self) -> Dict[str, Any]:
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"""获取定时任务状态"""
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current_activity = schedule_manager.get_current_activity()
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return {
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"is_running": self.is_running,
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"enabled": self.plugin.get_config("schedule.enable_schedule", False),
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"schedule_mode": "based_on_daily_schedule",
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"current_activity": current_activity,
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"last_activity_hash": self.last_activity_hash
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} |