账号检测原来把 WgapiLoginAPI 写死在执行器里,收不到邮箱验证码时只能干等; 登录任务早就可选 iframe(邮箱验证走 iframe 接口)。默认仍 wgapi,旧行为不变。
531 lines
19 KiB
Python
531 lines
19 KiB
Python
"""斗鱼账号检测批次执行器。"""
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from __future__ import annotations
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import io
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import threading
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import uuid
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import zipfile
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from dataclasses import dataclass, field
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from datetime import UTC, datetime
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from types import SimpleNamespace
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from typing import cast
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from loguru import logger
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from core.douyu import DouyuLogin, create_login_api_strategy
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from core.douyu.login import AccountLike
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from core.douyu.proxy_fetcher import ProxyFetcher
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from ..database import SessionLocal
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from ..models import ProxyConfig as ProxyConfigModel
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from .account_events_service import CATEGORY_AUTH, emit
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def _now() -> datetime:
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"""返回时区感知 UTC 时间。"""
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return datetime.now(UTC)
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#: 账号检测结果写进账号时间线的事件类型(仅「按账号选择」模式会有,
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#: 模式下手动粘贴的文本**没有 account_id**,无从归属,保持原样不落库)。
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EVENT_ACCOUNT_CHECK = "account_check"
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STATUS_LABELS = {
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"account_cancelled": "账号已注销",
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"password_wrong": "账号密码错误",
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"account_unverified": "账号未认证",
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"account_verified": "账号已认证",
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"account_auth_unknown": "认证状态未知",
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"error": "检测失败",
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"stopped": "已停止",
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}
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EXPORT_STATUS_ORDER = [
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"account_cancelled",
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"password_wrong",
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"account_unverified",
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"account_verified",
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"account_auth_unknown",
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"error",
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"stopped",
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]
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@dataclass
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class AccountCheckInput:
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"""导入的一行斗鱼账号。"""
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line: int
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username: str
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password: str
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email: str
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email_password: str
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#: 「按账号选择」模式下才有:把检测结果归回库里的账号。
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#: 手动粘贴的文本没有它 —— 那正是旧模式与账号域脱节的地方,保留原样。
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account_id: int | None = None
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def export_line(self) -> str:
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"""导出为统一四段格式。"""
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return f"{self.username}----{self.password}----{self.email}----{self.email_password}"
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@dataclass
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class AccountCheckItemState:
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"""单个账号检测状态。"""
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line: int
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username: str
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email: str
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export_text: str
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account_id: int | None = None
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status: str = "pending"
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message: str = "等待开始"
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started_at: datetime | None = None
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finished_at: datetime | None = None
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def to_dict(self) -> dict:
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return {
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"line": self.line,
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"username": self.username,
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"email": self.email,
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"account_id": self.account_id,
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"status": self.status,
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"message": self.message,
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"started_at": self.started_at,
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"finished_at": self.finished_at,
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}
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@dataclass
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class AccountCheckBatch:
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"""账号检测批次内存快照。"""
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batch_id: str
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created_by: int
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concurrency: int
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max_login_retries: int
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max_total_time: float
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use_proxy: bool
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items: list[AccountCheckItemState]
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#: 检测使用的登录接口策略(wgapi / iframe)—— 与登录任务同一套取值。
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#: 默认 wgapi,保持账号检测原来的行为不变。
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api_strategy: str = "wgapi"
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status: str = "pending"
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message: str = "等待开始"
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created_at: datetime = field(default_factory=_now)
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started_at: datetime | None = None
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finished_at: datetime | None = None
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def build_inputs_from_accounts(
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accounts: list, account_ids: list[int]
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) -> list[AccountCheckInput]:
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"""把库里的账号转成检测输入(**按账号选择**模式)。
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凭据直接取账号自己的字段 —— 这正是与旧模式的区别:旧模式要人工把凭据
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粘贴进来,检测完结果无处可归;这里每个条目都带着 `account_id`,
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结果能写回该账号的时间线。
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只接受调用方已经按可见性筛过的账号列表(路由层负责过滤)。
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"""
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by_id = {int(a.id): a for a in accounts}
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inputs: list[AccountCheckInput] = []
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for line_no, account_id in enumerate(account_ids, 1):
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account = by_id.get(int(account_id))
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if account is None:
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continue
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inputs.append(
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AccountCheckInput(
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line=line_no,
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username=str(account.username or ""),
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password=str(account.password or ""),
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email=str(account.email or ""),
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email_password=str(account.email_password or ""),
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account_id=int(account.id),
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)
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)
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return inputs
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def parse_account_check_lines(text: str) -> list[AccountCheckInput]:
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"""解析账号检测导入文本,支持 ---- 和 | 两种分隔符。"""
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accounts: list[AccountCheckInput] = []
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for line_no, raw_line in enumerate(text.splitlines(), 1):
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line = raw_line.strip()
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if not line:
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continue
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separator = "----" if "----" in line else "|"
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parts = [part.strip() for part in line.split(separator)]
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if len(parts) != 4 or any(not part for part in parts):
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raise ValueError(
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f"第 {line_no} 行格式错误,请使用:账号----密码----邮箱----邮箱密码 "
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f"或 账号|密码|邮箱|邮箱密码"
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)
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accounts.append(
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AccountCheckInput(
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line=line_no,
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username=parts[0],
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password=parts[1],
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email=parts[2],
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email_password=parts[3],
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)
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)
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return accounts
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class AccountCheckRunner:
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"""在后台线程中批量检测斗鱼账号。"""
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def __init__(
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self,
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batch: AccountCheckBatch,
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accounts: list[AccountCheckInput],
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proxy_config: ProxyConfigModel | None = None,
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):
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self.batch = batch
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self.accounts = accounts
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self.proxy_config = proxy_config
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self._lock = threading.Lock()
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self._stop = threading.Event()
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self._shared_proxy_fetcher = self._create_proxy_fetcher()
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def _create_proxy_fetcher(self) -> ProxyFetcher | None:
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"""按全局代理配置创建 API 代理获取器。"""
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if (
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not self.batch.use_proxy
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or not self.proxy_config
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or not self.proxy_config.enabled
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or not self.proxy_config.api_url
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):
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return None
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wl_platform = "xiequ"
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wl_credentials = None
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if self.proxy_config.whitelist_enabled:
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wl_platform = (
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getattr(self.proxy_config, "whitelist_platform", None) or "xiequ"
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)
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wl_credentials = getattr(self.proxy_config, "whitelist_credentials", None)
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if (
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not wl_credentials
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and self.proxy_config.whitelist_uid
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and self.proxy_config.whitelist_ukey
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):
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wl_credentials = {
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"uid": self.proxy_config.whitelist_uid,
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"ukey": self.proxy_config.whitelist_ukey,
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}
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return ProxyFetcher(
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api_url=self.proxy_config.api_url,
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whitelist_platform=wl_platform,
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whitelist_credentials=wl_credentials,
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stop_event=self._stop,
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)
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def _resolve_static_proxy(self) -> tuple[dict[str, str] | None, str]:
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"""解析静态代理;API 代理由 DouyuLogin 内部通过 proxy_fetcher 获取。"""
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if not self.batch.use_proxy:
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return None, ""
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if not self.proxy_config or not self.proxy_config.enabled:
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return None, "代理不可用: 未启用代理配置"
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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}, ""
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if self._shared_proxy_fetcher:
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return None, ""
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return None, "代理不可用: 未配置代理"
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def stop(self):
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self._stop.set()
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with self._lock:
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if self.batch.status == "running":
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self.batch.message = "正在停止"
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def _set_item(self, index: int, **updates):
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with self._lock:
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item = self.batch.items[index]
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for key, value in updates.items():
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setattr(item, key, value)
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# ⚠️ 必须判**非空**而不是「键存在」:`_run_one` 置 running 时会显式传
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# `finished_at=None`,用 `in` 判断会把中间态也当终态 —— 于是事件记为
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# 「running」,而真正的终态撞同一个幂等键被静默丢弃(只剩一条错的)。
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snapshot = dict(item.to_dict()) if updates.get("finished_at") else None
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# 终态(带 finished_at)且这个条目归属于某个库内账号时,把结果写进它的时间线。
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# 手动粘贴的条目没有 account_id → 保持旧行为(只在批次里 / 导出 zip),
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# 这正是「旧逻辑保留」的部分。
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if snapshot and snapshot.get("account_id"):
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self._emit_result(snapshot)
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def _emit_result(self, item: dict) -> None:
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"""把一个条目的检测结果写成账号事件。
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**绝不影响检测**:事件是旁路,任何失败都只记日志。
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线程里自己开一个会话(批次跑在后台线程,不能借用请求的 session)。
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"""
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status = str(item.get("status") or "")
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message = str(item.get("message") or "")
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try:
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db = SessionLocal()
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try:
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emit(
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db,
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account_id=int(item["account_id"]),
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event_type=EVENT_ACCOUNT_CHECK,
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title=f"账号检测:{STATUS_LABELS.get(status, status)}",
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category=CATEGORY_AUTH,
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occurred_at=item.get("finished_at") or _now(),
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detail={
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"batch_id": self.batch.batch_id,
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"status": status,
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"message": message,
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},
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source="account_check",
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# 幂等键带上批次:同一次检测重试/重放不会写两条,
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# 但再次检测同一账号是**新的事实**,应该各留一条。
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source_ref=(
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f"account_check:{self.batch.batch_id}:{item['account_id']}"
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),
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)
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db.commit()
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finally:
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db.close()
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except Exception as exc: # noqa: BLE001 旁路,绝不能影响检测
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logger.warning(
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f"账号检测结果写事件失败(account={item.get('account_id')}):{exc}"
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)
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def _set_batch(self, **updates):
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with self._lock:
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for key, value in updates.items():
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setattr(self.batch, key, value)
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def _run_one(self, index: int, account: AccountCheckInput):
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if self._stop.is_set():
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self._set_item(
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index, status="stopped", message="已停止", finished_at=_now()
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)
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return
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proxy_dict, proxy_error = self._resolve_static_proxy()
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if proxy_error:
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self._set_item(
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index, status="error", message=proxy_error, finished_at=_now()
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)
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return
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self._set_item(
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index,
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status="running",
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message="检测中",
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started_at=_now(),
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finished_at=None,
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)
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try:
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result = DouyuLogin(
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cast(
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AccountLike,
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SimpleNamespace(
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username=account.username,
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password=account.password,
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email=account.email,
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email_password=account.email_password,
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email_imap_server="",
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email_imap_port=993,
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email_imap_ssl=True,
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),
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),
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proxy=proxy_dict,
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max_login_retries=self.batch.max_login_retries,
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max_total_time=self.batch.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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api_strategy=create_login_api_strategy(self.batch.api_strategy),
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).check_account()
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except Exception as exc: # noqa: BLE001 外部接口与任务边界需要保留宽泛异常兜底
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self._set_item(
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index, status="error", message=f"检测异常: {exc}", finished_at=_now()
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)
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return
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if self._stop.is_set() and not result.success:
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self._set_item(
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index,
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status="stopped",
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message=result.message or "已停止",
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finished_at=_now(),
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)
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return
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if result.success:
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status = (
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result.code if result.code in STATUS_LABELS else "account_auth_unknown"
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)
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message = result.message or STATUS_LABELS.get(status, "认证状态未知")
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else:
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status = "error"
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message = result.message or "检测失败"
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self._set_item(index, status=status, message=message, finished_at=_now())
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def snapshot(self) -> dict:
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with self._lock:
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items = [item.to_dict() for item in self.batch.items]
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status_counts = {
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status: sum(1 for item in self.batch.items if item.status == status)
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for status in STATUS_LABELS
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}
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running_count = sum(
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1 for item in self.batch.items if item.status in {"pending", "running"}
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)
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finished_count = len(self.batch.items) - running_count
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return {
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"batch_id": self.batch.batch_id,
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"status": self.batch.status,
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"message": self.batch.message,
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"created_by": self.batch.created_by,
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"concurrency": self.batch.concurrency,
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"max_login_retries": self.batch.max_login_retries,
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"max_total_time": self.batch.max_total_time,
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"use_proxy": self.batch.use_proxy,
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"api_strategy": self.batch.api_strategy,
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"total": len(self.batch.items),
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"finished_count": finished_count,
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"running_count": running_count,
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"status_counts": status_counts,
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"created_at": self.batch.created_at,
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"started_at": self.batch.started_at,
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"finished_at": self.batch.finished_at,
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"items": items,
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}
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|
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def build_zip(self) -> tuple[bytes, str]:
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"""按检测状态生成 zip 包。"""
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with self._lock:
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items = list(self.batch.items)
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||
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||
timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S")
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||
buffer = io.BytesIO()
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with zipfile.ZipFile(buffer, "w", compression=zipfile.ZIP_DEFLATED) as zf:
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for status in EXPORT_STATUS_ORDER:
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label = STATUS_LABELS[status]
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lines: list[str] = []
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for item in items:
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if item.status != status:
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continue
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line = item.export_text
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||
if (
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status in {"error", "stopped", "account_auth_unknown"}
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and item.message
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):
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line = f"{line}----{item.message}"
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lines.append(line)
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content = "\n".join(lines)
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if content:
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content += "\n"
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zf.writestr(f"{timestamp}_{label}.txt", content.encode("utf-8"))
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filename = f"account_check_{timestamp}.zip"
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return buffer.getvalue(), filename
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def run(self):
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"""线程入口。"""
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||
self._set_batch(
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status="running", message="批次运行中", started_at=_now(), finished_at=None
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)
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try:
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||
if self._shared_proxy_fetcher:
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self._shared_proxy_fetcher.warmup_whitelist()
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|
||
with ThreadPoolExecutor(max_workers=self.batch.concurrency) as executor:
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||
futures = []
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||
for index, account in enumerate(self.accounts):
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||
if self._stop.is_set():
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||
self._set_item(
|
||
index,
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||
status="stopped",
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||
message="已停止",
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||
finished_at=_now(),
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||
)
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continue
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||
futures.append(executor.submit(self._run_one, index, account))
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||
|
||
for future in as_completed(futures):
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||
future.result()
|
||
except Exception as exc: # noqa: BLE001 外部接口与任务边界需要保留宽泛异常兜底
|
||
self._set_batch(
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||
status="error", message=f"批次执行异常: {exc}", finished_at=_now()
|
||
)
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||
return
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||
|
||
if self._stop.is_set():
|
||
self._set_batch(status="stopped", message="批次已停止", finished_at=_now())
|
||
else:
|
||
self._set_batch(status="finished", message="批次已完成", finished_at=_now())
|
||
|
||
|
||
class AccountCheckRegistry:
|
||
"""管理账号检测批次。"""
|
||
|
||
def __init__(self):
|
||
self._lock = threading.Lock()
|
||
self._runners: dict[str, AccountCheckRunner] = {}
|
||
|
||
def create(
|
||
self,
|
||
accounts: list[AccountCheckInput],
|
||
created_by: int,
|
||
concurrency: int,
|
||
max_login_retries: int,
|
||
max_total_time: float,
|
||
use_proxy: bool = False,
|
||
proxy_config: ProxyConfigModel | None = None,
|
||
api_strategy: str = "wgapi",
|
||
) -> AccountCheckRunner:
|
||
batch_id = uuid.uuid4().hex[:12]
|
||
normalized_retries = max_login_retries if max_login_retries > 0 else 20
|
||
batch = AccountCheckBatch(
|
||
batch_id=batch_id,
|
||
created_by=created_by,
|
||
concurrency=max(1, min(int(concurrency or 1), 10)),
|
||
max_login_retries=normalized_retries,
|
||
max_total_time=max(0.0, float(max_total_time or 0)),
|
||
use_proxy=bool(use_proxy),
|
||
api_strategy=str(api_strategy or "wgapi"),
|
||
items=[
|
||
AccountCheckItemState(
|
||
line=account.line,
|
||
username=account.username,
|
||
email=account.email,
|
||
export_text=account.export_line(),
|
||
# ⚠️ 必须带上:`_set_item` 靠它决定要不要把结果写进账号时间线。
|
||
# 漏了这一行 → 条目看着有账号,事件却永远不发(静默)。
|
||
account_id=account.account_id,
|
||
)
|
||
for account in accounts
|
||
],
|
||
)
|
||
runner = AccountCheckRunner(
|
||
batch=batch, accounts=accounts, proxy_config=proxy_config
|
||
)
|
||
with self._lock:
|
||
self._runners[batch_id] = runner
|
||
return runner
|
||
|
||
def get(self, batch_id: str) -> AccountCheckRunner | None:
|
||
with self._lock:
|
||
return self._runners.get(batch_id)
|
||
|
||
|
||
account_check_registry = AccountCheckRegistry()
|