yml2213
e478ac4d09
- 新建 ProxyFetcher 替代 ProxyManager，每次从API取1个代理，无池无锁无冷却 - 极验最多3次尝试，失败直接抛异常回到login整体重试取新代理 - 删掉极验内部的 refresh_proxy/proxy_switches/_soft_fail_streak 逻辑 - login整体重试时取新代理从头走完整流程 - 代理验证超时从(5,8)缩短为(3,5)，白名单同步后立即重试不等待 - login_service 删掉60行代理池预检/等待代码 - 修复邮件验证码日期比较：Roundcube分钟精度与秒级时间戳对齐
301 lines
12 KiB
Python
301 lines
12 KiB
Python
"""登录服务：复用 core/ 核心模块，在线程池中并发执行登录并推送日志。"""
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import asyncio
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import threading
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import time
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import uuid
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from types import SimpleNamespace
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from datetime import datetime, timezone
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from typing import Optional
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from sqlalchemy.orm import Session
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from core.douyu import DouyuLogin
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from core.douyu.proxy_fetcher import ProxyFetcher
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from ..models import Account as AccountModel, LoginTask, ProxyConfig as ProxyConfigModel
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class LoginBatchRunner:
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"""批量登录执行器，在线程中运行，通过 ThreadPoolExecutor 并发登录多个账号。"""
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def __init__(
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self,
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db: Session,
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account_ids: list[int],
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created_by: int,
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creator_permissions: list[str],
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max_proxy_retries: int = 0,
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max_login_retries: int = 0,
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max_total_time: float = 0,
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proxy_config: Optional[ProxyConfigModel] = None,
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log_queue: Optional[asyncio.Queue] = None,
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loop: Optional[asyncio.AbstractEventLoop] = None,
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concurrency: int = 3,
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):
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self.db = db
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self.account_ids = account_ids
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self.created_by = created_by
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self.creator_permissions = creator_permissions
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self.max_proxy_retries = max_proxy_retries
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self.max_login_retries = max_login_retries
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self.max_total_time = max_total_time
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self.proxy_config = proxy_config
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self.log_queue = log_queue
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self.loop = loop
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self.batch_id = uuid.uuid4().hex[:12]
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self.concurrency = max(1, min(concurrency, 10)) # 限制 1-10
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self._stop = threading.Event()
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self._counter_lock = threading.Lock()
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self._completed = 0
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# 共享代理获取器（无池，每次取新代理）
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self._shared_proxy_fetcher = None
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if proxy_config and proxy_config.enabled and proxy_config.api_url:
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wl_platform = "xiequ"
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wl_credentials = None
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if proxy_config.whitelist_enabled:
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wl_platform = getattr(proxy_config, 'whitelist_platform', None) or "xiequ"
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wl_credentials = getattr(proxy_config, 'whitelist_credentials', None)
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# 向后兼容
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if not wl_credentials and proxy_config.whitelist_uid and proxy_config.whitelist_ukey:
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wl_platform = "xiequ"
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wl_credentials = {"uid": proxy_config.whitelist_uid, "ukey": proxy_config.whitelist_ukey}
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self._shared_proxy_fetcher = ProxyFetcher(
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api_url=proxy_config.api_url,
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whitelist_platform=wl_platform,
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whitelist_credentials=wl_credentials,
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)
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def stop(self):
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self._stop.set()
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def _sleep_or_stop(self, seconds: float) -> bool:
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"""可中断等待；返回 True 表示收到停止信号。"""
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deadline = time.monotonic() + seconds
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while time.monotonic() < deadline:
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if self._stop.is_set():
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return True
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time.sleep(min(0.2, deadline - time.monotonic()))
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return self._stop.is_set()
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def _push_log(self, level: str, message: str):
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if self.log_queue and self.loop:
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asyncio.run_coroutine_threadsafe(
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self.log_queue.put({"level": level, "message": message}),
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self.loop,
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)
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def _resolve_static_proxy(self) -> tuple[Optional[dict], str]:
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"""解析静态代理配置。"""
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if not self.proxy_config or not self.proxy_config.enabled:
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return None, ''
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# 静态代理
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if self.proxy_config.http or self.proxy_config.https:
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proxy_url = self.proxy_config.http or self.proxy_config.https
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return {'http': proxy_url, 'https': proxy_url}, f'使用静态代理: {proxy_url}'
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# API代理：由 DouyuLogin 通过 proxy_fetcher 内部管理
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return None, ''
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def _execute_one(self, task_id: int, acc_info: dict, total: int):
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"""在独立线程中执行单个账号登录，使用独立的 DB 会话。"""
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if self._stop.is_set():
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self._push_log("warning", f"任务已停止，跳过: {acc_info['username']}")
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return
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worker_db = SessionLocal()
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try:
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task = worker_db.query(LoginTask).filter(LoginTask.id == task_id).first()
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if not task:
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return
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task.status = "running"
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worker_db.commit()
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with self._counter_lock:
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self._completed += 1
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current = self._completed
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self._push_log("info", f"[{current}/{total}] 开始登录: {acc_info['username']}")
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# 解析代理配置
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proxy_dict, proxy_msg = self._resolve_static_proxy()
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if proxy_msg:
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self._push_log("info", f"[{current}] {proxy_msg}")
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# 静态代理启用但配置为空 → 不可用
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if self.proxy_config and self.proxy_config.enabled and not (self.proxy_config.http or self.proxy_config.https) and not self._shared_proxy_fetcher and not proxy_dict:
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task.status = "error"
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task.message = "代理不可用: 未配置代理"
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task.finished_at = datetime.now(timezone.utc)
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worker_db.commit()
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self._push_log("error", f"[{current}] {acc_info['username']} 代理不可用")
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return
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try:
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account = SimpleNamespace(
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username=acc_info["username"],
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password=acc_info["password"],
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email=acc_info["email"],
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email_password=acc_info["email_password"],
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email_imap_server=acc_info["email_imap_server"] or "",
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email_imap_port=acc_info["email_imap_port"] or 993,
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email_imap_ssl=acc_info["email_imap_ssl"],
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)
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loginer = DouyuLogin(
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account,
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proxy=proxy_dict,
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max_proxy_retries=self.max_proxy_retries,
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max_login_retries=self.max_login_retries,
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max_total_time=self.max_total_time,
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proxy_fetcher=self._shared_proxy_fetcher,
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stop_event=self._stop,
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)
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result = loginer.login()
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if result.success:
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task.status = "success"
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task.cookie = result.cookie
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task.message = result.message or "登录成功"
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self._push_log("success", f"[{current}] {acc_info['username']} {task.message}")
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else:
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task.status = "failed"
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task.message = result.message
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self._push_log("error", f"[{current}] {acc_info['username']} 登录失败: {result.message}")
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except Exception as e:
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task.status = "error"
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task.message = str(e)
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self._push_log("error", f"[{current}] {acc_info['username']} 登录异常: {e}")
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task.finished_at = datetime.now(timezone.utc)
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worker_db.commit()
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finally:
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worker_db.close()
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def run(self):
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"""在线程中执行批量登录。"""
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batch_id = self.batch_id
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concurrency = self.concurrency
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self._push_log("info", f"批量登录任务 {batch_id} 开始，共 {len(self.account_ids)} 个账号，并发数: {concurrency}")
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try:
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# 创建或复用任务记录（顺序执行，线程安全）
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task_infos: list[dict] = [] # {task_id, acc_info}
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for aid in self.account_ids:
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acc = self.db.query(AccountModel).filter(AccountModel.id == aid).first()
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if not acc:
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continue
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# 权限检查：客服只能跑分配给自己的
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if "login:view_all" not in self.creator_permissions:
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if acc.assigned_to != self.created_by:
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self._push_log("warning", f"跳过无权账号: {acc.username}")
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continue
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# 复用该账号最近一条失败任务记录，避免重复产生多条
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existing_task = (
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self.db.query(LoginTask)
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.filter(LoginTask.account_id == aid, LoginTask.status.in_(["failed", "error"]))
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.order_by(LoginTask.id.desc())
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.first()
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)
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if existing_task:
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existing_task.batch_id = batch_id
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existing_task.status = "pending"
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existing_task.cookie = ""
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existing_task.message = ""
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existing_task.finished_at = None
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task = existing_task
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else:
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task = LoginTask(
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batch_id=batch_id,
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account_id=aid,
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status="pending",
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created_by=self.created_by,
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)
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self.db.add(task)
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self.db.flush() # 获取 task.id
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task_infos.append({
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"task_id": task.id,
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"acc_info": {
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"username": acc.username,
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"password": acc.password,
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"email": acc.email,
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"email_password": acc.email_password,
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"email_imap_server": acc.email_imap_server or "",
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"email_imap_port": acc.email_imap_port or 993,
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"email_imap_ssl": acc.email_imap_ssl if acc.email_imap_ssl is not None else True,
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},
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})
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self.db.commit()
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total = len(task_infos)
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if total == 0:
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self._push_log("warning", "没有可执行的账号")
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self._push_log("result", "")
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return
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# 并发执行登录，每个账号独立获取代理
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with ThreadPoolExecutor(max_workers=concurrency) as executor:
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futures = []
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for item in task_infos:
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if self._stop.is_set():
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self._push_log("warning", "任务已停止，跳过剩余账号")
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break
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future = executor.submit(
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self._execute_one,
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item["task_id"],
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item["acc_info"],
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total,
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)
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futures.append(future)
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# 等待所有任务完成
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for future in as_completed(futures):
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try:
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future.result()
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except Exception as e:
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self._push_log("error", f"Worker 异常: {e}")
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self._push_log("info", f"批量登录任务 {batch_id} 完成")
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self._push_log("result", "")
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finally:
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# 确保 DB Session 被关闭，避免连接泄漏
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self.db.close()
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class BatchRegistry:
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"""管理运行中的登录批次状态。"""
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def __init__(self):
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self._batches: dict[str, dict] = {}
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def register(self, batch_id: str, log_queue: asyncio.Queue,
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loop: asyncio.AbstractEventLoop, runner: LoginBatchRunner):
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self._batches[batch_id] = {
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"log_queue": log_queue,
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"loop": loop,
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"runner": runner,
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}
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def get(self, batch_id: str):
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return self._batches.get(batch_id)
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def pop(self, batch_id: str):
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return self._batches.pop(batch_id, None)
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# 模块级单例
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batch_registry = BatchRegistry()
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# 在模块末尾导入 SessionLocal（避免循环导入）
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from ..database import SessionLocal
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