79 lines
2.7 KiB
Python
79 lines
2.7 KiB
Python
#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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import logging
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import threading
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from argparse import ArgumentParser
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from configuration import Config
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from constants import ChatType
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from gewechat.api.start_server import start_fastapi_server
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from gewechat.client import gewe_client
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from robot import Robot
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# 配置日志
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logger = logging.getLogger(__name__)
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def main(chat_type: int):
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config = Config()
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send_msg_wxid = "filehelper" # 要发送消息的好友昵称
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start_fastapi_server(host="0.0.0.0", port=8999)
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# 创建机器人实例
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robot = Robot(config)
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robot.LOG.info(f"WeChatRobot gewechat 成功启动···")
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# # 注册Robot实例到callback模块
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from gewechat.api.callback import register_robot
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register_robot(gewe_client.app_id, robot)
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# 机器人启动发送测试消息
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gewe_client.client.post_text(gewe_client.app_id, send_msg_wxid, "client 启动成功！")
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#
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# # 每天 8:30 发送新闻
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# robot.onEveryTime("08:30", robot.news_baidu_report_auto)
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#
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# # epic
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# robot.onEveryTime("10:30", robot.send_epic_free_games)
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#
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# # message report 1:数据自动从redis 转到sqllite
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# robot.onEveryTime("02:30", robot.message_count_to_db)
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# # 从db中提取并发送给相关群
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# robot.onEveryTime("09:30", robot.generate_and_send_ranking)
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#
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# # sehuatang
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# robot.onEveryTime("15:30", robot.generate_sehuatang_pdf)
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#
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# # 秀人网每天自动下载帖子
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# robot.onEveryTime("01:30", robot.xiu_ren_download_task)
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#
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# # 秀人网每天自动发pdf
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# robot.onEveryTime("17:30", robot.xiu_ren_pdf_send)
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# time.sleep(5)
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# # 启动之后，填入callback
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# gewe_client.client_set_callback()
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# # 返回启动的端口，以便调用者知道实际使用的端口
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# 启动Dashboard服务器
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dashboard_server = None
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try:
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# 创建Dashboard服务器实例，共享robot对象
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from admin.dashboard.server import DashboardServer
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dashboard_server = DashboardServer(robot_instance=robot)
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# 在单独的线程中启动Dashboard服务器
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dashboard_thread = threading.Thread(target=dashboard_server.run, daemon=True)
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dashboard_thread.start()
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robot.LOG.info(f"Dashboard服务器已在 http://{dashboard_server.host}:{dashboard_server.port} 启动")
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except Exception as e:
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robot.LOG.error(f"Dashboard服务器启动失败: {e}")
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# 让机器人一直跑
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robot.keep_running_and_block_process()
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if __name__ == "__main__":
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parser = ArgumentParser()
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parser.add_argument('-c', type=int, default=0, help=f'选择模型参数序号: {ChatType.help_hint()}')
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args = parser.parse_args().c
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main(args)
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