` 续传 ——
+ 断线重连、或任务跑到一半才打开页面，都能补齐历史（SSE 的 `Last-Event-ID` 走同一套）。
+"""
+
+from __future__ import annotations
+
+import threading
+import time
+from dataclasses import dataclass, field
+from typing import Any, Dict
+
+# ---- 事件类型 ------------------------------------------------------------- #
+EVT_STARTED = "job.started" # data: {target, kind, mode, params}
+EVT_CHALLENGE = "challenge" # data: {kind, instruction, bg_url, prompt_url, subcapclass}
+EVT_SOLVE = "solve" # data: {points, off_px, annotated_url, note}
+EVT_TELEMETRY = "telemetry" # data: {source, collect_len, segments, traj_points}
+EVT_VERIFY = "verify" # data: {errorCode, ticket, randstr, elapsed_ms, success}
+EVT_LOG = "log" # data: {level, logger, message}
+EVT_FINISHED = "job.finished" # data: {success, errorCode, ticket, elapsed_ms, error, stats}
+EVT_ERROR = "job.error" # data: {message}
+
+#: 一次任务最终会落到哪些终态（前端据此停止重连）
+TERMINAL_TYPES = frozenset({EVT_FINISHED, EVT_ERROR})
+
+
+@dataclass
+class Event:
+ """一条事件。SSE 的 `data:` 就是 `to_dict()` 的 JSON。"""
+
+ seq: int
+ type: str
+ data: Dict[str, Any] = field(default_factory=dict)
+ ts: float = field(default_factory=time.time)
+
+ def to_dict(self) -> Dict[str, Any]:
+ return {"seq": self.seq, "ts": round(self.ts, 3), "type": self.type, "data": self.data}
+
+
+class EventLog:
+ """一个 job 的事件缓冲区：追加 + 按 seq 续传。
+
+ 注意它是**只追加**的：`since` 语义是"给我 seq > since 的全部"，
+ 这样 SSE 断开重连不会丢事件，也不会重复推送。
+
+ 带锁：写在工作线程（求解），读在 HTTP 线程（SSE），
+ 且 `seq = len + 1` 与 `append` 必须是原子的，否则会撞出重复 seq。
+ """
+
+ def __init__(self) -> None:
+ self._items: list[Event] = []
+ self._lock = threading.Lock()
+
+ def append(self, type_: str, **data: Any) -> Event:
+ with self._lock:
+ evt = Event(seq=len(self._items) + 1, type=type_, data=dict(data))
+ self._items.append(evt)
+ return evt
+
+ def since(self, seq: int) -> list[Event]:
+ with self._lock:
+ return [e for e in self._items if e.seq > seq]
+
+ def __len__(self) -> int: # pragma: no cover - 方便调试
+ with self._lock:
+ return len(self._items)
+
+ @property
+ def last_seq(self) -> int:
+ with self._lock:
+ return len(self._items)
diff --git a/tcaptcha/web/runner.py b/tcaptcha/web/runner.py
new file mode 100644
index 0000000..478e019
--- /dev/null
+++ b/tcaptcha/web/runner.py
@@ -0,0 +1,512 @@
+# -*- coding: utf-8 -*-
+"""`SolveJob` / `JobManager` —— 把**同步阻塞**的求解包成"可观测的后台任务"。
+
+为什么必须要有这一层（三条都是硬约束，不是设计偏好）:
+
+ 1. `client.solve()` 是同步阻塞的，一次 7~60s（内含 5.5~7.5s 拟人等待，
+ 换题还要再等 2.8~4.2s）——**不能挂在 HTTP 请求上**，否则前端必超时。
+ 2. ONNX / ddddocr 是阻塞的 CPU 计算，且 `onnxruntime` 的 session **不是线程安全的**
+ -> 必须丢到工作线程，并且**全局串行**（同一时刻只跑一个求解）。
+ 3. 中间态（题型 / 题目图 / 点位 / 段几何 / errorCode）散落在局部变量和日志里
+ -> 用「**日志 handler 桥接** + 求解器 hook」把它们事件化，前端才能实时看到。
+
+`--` 这里刻意**不修改** `protocol/client.py`：日志桥接零侵入，
+求解器的 hook 只在本 job 存活期间（成对安装/卸载），且被串行锁保护。
+"""
+
+from __future__ import annotations
+
+import base64
+import importlib
+import json
+import logging
+import threading
+import time
+import uuid
+from typing import Any, Callable, Dict, List, Optional, Tuple
+
+from tcaptcha.protocol.client import (KIND_ICON_CLICK, KIND_SLIDER, KIND_TEXT_CLICK,
+ TencentCaptchaClient)
+from tcaptcha.render import annotate_points, icon_centroid_offset, to_jpeg
+from tcaptcha.targets import get_target
+
+from .events import (EVT_CHALLENGE, EVT_ERROR, EVT_FINISHED, EVT_LOG, EVT_SOLVE,
+ EVT_STARTED, EVT_TELEMETRY, EVT_VERIFY, EventLog)
+
+#: 题型 -> accept_kinds
+KIND_MAP: Dict[str, Tuple[str, ...]] = {
+ "text": (KIND_TEXT_CLICK,),
+ "icon": (KIND_ICON_CLICK,),
+ "slider": (KIND_SLIDER,),
+ "any": (KIND_TEXT_CLICK, KIND_ICON_CLICK, KIND_SLIDER),
+}
+
+#: 要 hook 的求解器： (标签, 模块, 类, 方法)
+_SOLVER_TARGETS = (
+ ("icon", "tcaptcha.solvers.icon_click", "CaptchaSolver", "solve"),
+ ("text", "tcaptcha.solvers.text_click", "TextClickSolver", "solve_ex"),
+ ("slider", "tcaptcha.solvers.slider", "SliderSolver", "solve"),
+)
+
+#: 一次任务最多在内存里留多少张图（超出就丢最早的，保证内存有界）
+MAX_IMAGES = 24
+
+
+#: 进程内复用的求解器实例 —— ONNX(YOLO+ResNet18, ~56MB) 与 ddddocr 加载一次要几秒，
+#: 而 `TencentCaptchaClient` 默认**每次新建**一个 solver；把实例传进去才能真正复用。
+#: ⚠️ 复用安全的前提是**求解被全局串行**（见 `JobManager._serial`）——
+#: onnxruntime 的 session 不是线程安全的，别在没锁的情况下并发调用。
+_SOLVER_CACHE: Dict[str, Any] = {}
+
+
+def cached_solvers() -> Dict[str, Any]:
+ """按需加载并缓存求解器（进程内复用）。供 `app.py` 预热与 `SolveJob` 共用。"""
+ if "icon" not in _SOLVER_CACHE:
+ try:
+ from tcaptcha.solvers.icon_click import CaptchaSolver
+ _SOLVER_CACHE["icon"] = CaptchaSolver()
+ except Exception as exc: # noqa: BLE001 加载失败就退回 client 自身懒加载
+ logging.getLogger("web.runner").warning("图标求解器加载失败: %s", exc)
+ _SOLVER_CACHE["icon"] = None
+ if "text" not in _SOLVER_CACHE:
+ try:
+ from tcaptcha.solvers.text_click import TextClickSolver
+ _SOLVER_CACHE["text"] = TextClickSolver()
+ except Exception as exc: # noqa: BLE001
+ logging.getLogger("web.runner").warning("文字点选求解器加载失败: %s", exc)
+ _SOLVER_CACHE["text"] = None
+ return _SOLVER_CACHE
+
+
+class _LogBridge(logging.Handler):
+ """把 tcaptcha 的日志**原样**变成事件 —— 零侵入拿到全过程。
+
+ client 里已经有 20+ 条 `logger.info`（抽题 / PoW 命中 / 题型、图片落盘、
+ 遥测密文来源与长度、求解结论、verify 结果…），接上它就等于免费得到一份
+ "和 CLI 一模一样"的执行轨迹，不必去 client 里逐个加回调。
+ """
+
+ def __init__(self, emit: Callable[[str, str, str], None]) -> None:
+ super().__init__(level=logging.INFO)
+ self._emit = emit
+
+ def emit(self, record: logging.LogRecord) -> None:
+ try:
+ self._emit(record.levelname, record.name, record.getMessage())
+ except Exception: # noqa: BLE001 日志桥绝不能反过来炸主流程
+ pass
+
+
+class _Hooks:
+ """成对安装/卸载的观测 hook（必须被串行锁保护）。
+
+ 两类：
+ * **求解器 hook** —— 抓题型 / 题目图 / 点位，用来画标注图与量点位质量；
+ * **遥测 hook** —— 抓 `generate_telemetry` 的产物，解出 4 段几何与轨迹点数
+ （这是判断"包是否正确生成"的关键指标，CLI 里一直靠它做诊断）。
+ """
+
+ def __init__(self, job: "SolveJob") -> None:
+ self._job = job
+ self._saved: List[Tuple[Any, str, Any]] = []
+ self._gen_saved: Optional[Tuple[Any, Any]] = None
+
+ def __enter__(self) -> "_Hooks":
+ for key, modname, clsname, fname in _SOLVER_TARGETS:
+ try:
+ cls = getattr(importlib.import_module(modname), clsname)
+ original = getattr(cls, fname)
+ except Exception: # noqa: BLE001 某个求解器不在也不该影响别的
+ continue
+ setattr(cls, fname, self._job._wrap_solver(key, original))
+ self._saved.append((cls, fname, original))
+ try:
+ import tcaptcha.protocol.client as client_mod
+ self._gen_saved = (client_mod, client_mod.generate_telemetry)
+ client_mod.generate_telemetry = self._job._wrap_telemetry(client_mod.generate_telemetry)
+ except Exception: # noqa: BLE001
+ self._gen_saved = None
+ return self
+
+ def __exit__(self, *exc_info) -> bool:
+ for cls, fname, original in self._saved:
+ setattr(cls, fname, original)
+ self._saved.clear()
+ if self._gen_saved is not None:
+ setattr(self._gen_saved[0], "generate_telemetry", self._gen_saved[1])
+ self._gen_saved = None
+ return False
+
+
+class SolveJob:
+ """一次真实求解任务。"""
+
+ def __init__(self, job_id: str, target_key: str, params: Dict[str, Any],
+ throttle: Optional[Callable[["SolveJob"], float]] = None,
+ on_finish: Optional[Callable[["SolveJob"], None]] = None) -> None:
+ self.id = job_id
+ self.target_key = target_key
+ self.params = dict(params)
+ self.events = EventLog()
+ self.state = "pending" # pending|throttled|running|done|error|cancelled
+ self.result: Optional[Dict[str, Any]] = None
+ self.error = ""
+ self.created_at = time.time()
+ self.finished_at: Optional[float] = None
+ self._throttle = throttle
+ self._on_finish = on_finish
+ self._cancel = threading.Event()
+ self._challenge_no = 0
+ self._solves: List[Dict[str, Any]] = []
+ self._images: Dict[str, bytes] = {}
+ self._img_lock = threading.Lock()
+
+ # ------------------------------------------------------------------ 图片
+ def add_image(self, name: str, data: bytes) -> str:
+ """把一张图存进本 job 的内存（返回给前端的 URL）。"""
+ with self._img_lock:
+ while len(self._images) >= MAX_IMAGES:
+ self._images.pop(next(iter(self._images)))
+ self._images[name] = data
+ return "/api/jobs/%s/image/%s" % (self.id, name)
+
+ def get_image(self, name: str) -> Optional[bytes]:
+ with self._img_lock:
+ return self._images.get(name)
+
+ # ------------------------------------------------------------- 对外状态
+ @property
+ def cancelled(self) -> bool:
+ return self._cancel.is_set()
+
+ def cancel(self) -> None:
+ """标记取消。注意：`solve()` 内部是同步阻塞的，
+ 所以取消只在**节流等待中**或**当前这一发结束后**生效。"""
+ self._cancel.set()
+ self.events.append(EVT_LOG, level="WARNING", logger="web.runner",
+ message="已请求取消（当前这一发结束后生效）")
+
+ def stats(self) -> Dict[str, Any]:
+ offs = [v for s in self._solves for v in (s.get("off_px") or []) if isinstance(v, (int, float))]
+ return {
+ "challenges": self._challenge_no,
+ "solves": len(self._solves),
+ "points": sum(len(s.get("points") or []) for s in self._solves),
+ "mean_offset_px": round(sum(offs) / len(offs), 1) if offs else None,
+ }
+
+ def snapshot(self) -> Dict[str, Any]:
+ return {
+ "id": self.id,
+ "target": self.target_key,
+ "params": self.params,
+ "state": self.state,
+ "last_seq": self.events.last_seq,
+ "created_at": self.created_at,
+ "finished_at": self.finished_at,
+ "result": self.result,
+ "stats": self.stats(),
+ "error": self.error,
+ }
+
+ # ------------------------------------------------------------- 执行流程
+ def run(self) -> None:
+ """在工作线程里跑（由 JobManager 串行调度）。"""
+ try:
+ self._execute()
+ except BaseException as exc: # noqa: BLE001 兜住一切，别让线程静默死掉
+ self.state = "error"
+ self.error = "%s: %s" % (type(exc).__name__, exc)
+ self.events.append(EVT_ERROR, message=self.error)
+ logging.getLogger("web.runner").exception("任务 %s 异常", self.id)
+ finally:
+ self.finished_at = time.time()
+ if self._on_finish:
+ self._on_finish(self)
+
+ def _execute(self) -> None:
+ tgt = get_target(self.target_key)
+ kind = str(self.params.get("kind") or "icon")
+ self.events.append(EVT_STARTED, target=self.target_key, aid=tgt["aid"],
+ kind=kind, mode="python_values",
+ note=tgt["note"], params={k: v for k, v in self.params.items()})
+
+ if self._throttle:
+ waited = self._throttle(self)
+ if waited:
+ self.events.append(EVT_LOG, level="INFO", logger="web.runner",
+ message="频控节流结束（等待 %.1fs）" % waited)
+ if self.cancelled:
+ self.state = "cancelled"
+ self.events.append(EVT_FINISHED, success=False, errorCode=None, ticket="",
+ elapsed_ms=0, error="任务已取消", stats=self.stats())
+ return
+
+ self.state = "running"
+ bridge = _LogBridge(self._emit_log)
+ loggers = [logging.getLogger("tcaptcha"), logging.getLogger("tcaptcha_client")]
+ for lg in loggers:
+ if lg.level == logging.NOTSET or lg.level > logging.INFO:
+ lg.setLevel(logging.INFO)
+ lg.addHandler(bridge)
+ try:
+ with _Hooks(self):
+ res = self._call_client(tgt, kind)
+ finally:
+ for lg in loggers:
+ lg.removeHandler(bridge)
+ self._finalize(res)
+
+ def _emit_log(self, level: str, name: str, message: str) -> None:
+ self.events.append(EVT_LOG, level=level, logger=name, message=message)
+
+ def _call_client(self, tgt, kind: str) -> Dict[str, Any]:
+ solvers = cached_solvers()
+ client = TencentCaptchaClient(
+ aid=tgt["aid"], entry_url=tgt["entry_url"], referer=tgt["referer"],
+ wb=tgt["wb"], accept_kinds=KIND_MAP.get(kind, KIND_MAP["any"]),
+ telemetry_mode="python_values", proxy=None,
+ solver=solvers.get("icon"), # 复用实例：不传的话 client 每发都重建
+ text_solver=solvers.get("text"),
+ )
+ try:
+ return client.solve(max_retries=int(self.params.get("max_retries", 2)),
+ max_refreshes=int(self.params.get("max_refreshes", 20)))
+ finally:
+ try:
+ client.close()
+ except Exception: # noqa: BLE001
+ pass
+
+ def _finalize(self, res: Dict[str, Any]) -> None:
+ raw = res.get("raw_response") or {}
+ ec = raw.get("errorCode")
+ self.result = {
+ "success": bool(res.get("success")),
+ "errorCode": ec,
+ "ticket": res.get("ticket") or "",
+ "randstr": res.get("randstr") or "",
+ "elapsed_ms": res.get("elapsed_ms"),
+ "kind": res.get("kind") or "",
+ "instruction": res.get("instruction") or "",
+ "error": res.get("error") or "",
+ }
+ self.error = res.get("error") or ""
+ self.state = "done" if res.get("success") else ("error" if self.error else "done")
+ self.events.append(EVT_VERIFY, success=bool(res.get("success")), errorCode=ec,
+ ticket=res.get("ticket") or "", randstr=res.get("randstr") or "",
+ elapsed_ms=res.get("elapsed_ms"))
+ self.events.append(EVT_FINISHED, success=bool(res.get("success")), errorCode=ec,
+ ticket=res.get("ticket") or "",
+ elapsed_ms=res.get("elapsed_ms"),
+ error=self.error, stats=self.stats())
+
+ # --------------------------------------------------------- 求解器 hook
+ def _wrap_solver(self, key: str, original: Callable) -> Callable:
+ def wrapper(*args, **kwargs):
+ result = original(*args, **kwargs)
+ try:
+ self._capture(key, args, result)
+ except Exception as exc: # noqa: BLE001 捕获失败不能影响求解
+ self.events.append(EVT_LOG, level="WARNING", logger="web.runner",
+ message="捕获求解中间态失败: %s" % exc)
+ return result
+ return wrapper
+
+ def _capture(self, key: str, args: tuple, result: Any) -> None:
+ """把「题目图 + 点位」事件化。
+
+ ⚠️ `args[0]` 是**求解器实例自身**（hook 的是实例方法，`client` 里是
+ `self.icon_solver.solve(bg, prompt)` 这种调用），真正的入参从 `args[1]` 开始。
+ """
+ if key == "icon":
+ bg = args[1]
+ prompt = args[2] if len(args) > 2 else None
+ points = [(int(p[0]), int(p[1])) for p in (result or [])]
+ self._emit_challenge(KIND_ICON_CLICK, "请依次点击：", bg, prompt)
+ if points:
+ self._emit_solve(KIND_ICON_CLICK, bg, points, prompt,
+ "YOLOv8 召回 + ResNet18 分类 + 全局指派")
+ elif key == "text":
+ bg = args[1]
+ instr = args[2] if len(args) > 2 else ""
+ points = [(int(p[0]), int(p[1])) for p in (getattr(result, "points", None) or [])]
+ self._emit_challenge(KIND_TEXT_CLICK, instr, bg, None)
+ if points:
+ self._emit_solve(KIND_TEXT_CLICK, bg, points, None, _describe(result))
+ else: # slider
+ bg = args[1]
+ piece = args[2] if len(args) > 2 else None
+ tx = getattr(result, "target_x_image", None)
+ ty = getattr(result, "y_image", None)
+ points = [(int(round(tx)), int(round(ty)))] if tx is not None and ty is not None else []
+ self._emit_challenge(KIND_SLIDER, "拖动下方滑块完成拼图", bg, piece)
+ if points:
+ self._emit_solve(KIND_SLIDER, bg, points, piece, _describe(result))
+
+ def _emit_challenge(self, kind: str, instruction: str, bg: Any, prompt: Any) -> None:
+ self._challenge_no += 1
+ n = self._challenge_no
+ data: Dict[str, Any] = {"index": n, "kind": kind, "instruction": instruction}
+ data["bg_url"] = self._safe_image("c%d_bg.jpg" % n, bg)
+ if prompt is not None:
+ data["prompt_url"] = self._safe_image("c%d_prompt.jpg" % n, prompt)
+ self.events.append(EVT_CHALLENGE, **data)
+
+ def _emit_solve(self, kind: str, bg: Any, points, prompt: Any, note: str) -> None:
+ """`off_px` **只对点选题**（图标/文字）有意义 —— 它量的是"点击点离该处
+ 暗色笔画质心多远"。滑块的答案是**缺口位置**（那里通常没有笔画），
+ 硬套这个量尺会给出十几到几十 px 的噪声，所以滑块一律置 None。
+ """
+ n = self._challenge_no
+ measurable = kind in (KIND_ICON_CLICK, KIND_TEXT_CLICK)
+ offsets: List[Optional[float]] = []
+ centroids: List[Optional[List[float]]] = []
+ for (x, y) in points:
+ est = icon_centroid_offset(bg, x, y) if measurable else None
+ offsets.append(round(est[2], 1) if est else None)
+ centroids.append([round(est[0], 1), round(est[1], 1)] if est else None)
+ data: Dict[str, Any] = {"index": n, "kind": kind, "points": [list(p) for p in points],
+ "off_px": offsets, "centroids": centroids, "note": note}
+ try:
+ data["annotated_url"] = self.add_image(
+ "c%d_annotated.jpg" % n,
+ annotate_points(bg, points, prompt=prompt, offsets=offsets,
+ centroids=centroids, title="第 %d 题" % n))
+ except Exception: # noqa: BLE001
+ pass
+ self._solves.append(data)
+ self.events.append(EVT_SOLVE, **data)
+
+ def _safe_image(self, name: str, image: Any) -> str:
+ try:
+ return self.add_image(name, to_jpeg(image))
+ except Exception: # noqa: BLE001
+ return ""
+
+ # ------------------------------------------------------------- 遥测 hook
+ def _wrap_telemetry(self, original: Callable) -> Callable:
+ def wrapper(tdc_code, points, **kwargs):
+ out = original(tdc_code, points, **kwargs)
+ try:
+ self._capture_telemetry(out)
+ except Exception as exc: # noqa: BLE001 解析失败不能影响发出去的包
+ self.events.append(EVT_LOG, level="WARNING", logger="web.runner",
+ message="解析遥测段几何失败: %s" % exc)
+ return out
+ return wrapper
+
+ def _capture_telemetry(self, out: Dict[str, Any]) -> None:
+ """解出「4 段几何 + 轨迹点数」—— 判断包是否**按本次会话构建**正确生成的关键指标。"""
+ info: Dict[str, Any] = {"source": out.get("source"),
+ "collect_len": len(out.get("collect") or "")}
+ try:
+ from tcaptcha.telemetry.crypto import split_collect_segments, xtea_decrypt_bytes
+ plain = xtea_decrypt_bytes(base64.b64decode(out["collect"]),
+ out["key"]).decode("latin1").rstrip("\x00")
+ segs = split_collect_segments(plain)
+ info["segments"] = [len(s) for s in segs]
+ info["traj_points"] = len(json.loads(segs[1]))
+ except Exception as exc: # noqa: BLE001
+ info["segments_err"] = str(exc)[:160]
+ self.events.append(EVT_TELEMETRY, **info)
+
+
+def _describe(result: Any) -> str:
+ """取求解器自带的 describe()（各 solver 都有，但签名不同，统一兜住）。"""
+ try:
+ return str(result.describe())
+ except Exception: # noqa: BLE001
+ return ""
+
+
+class JobManager:
+ """任务注册表 + **全局串行**调度 + 按靶子节流。"""
+
+ def __init__(self, max_jobs: int = 50) -> None:
+ self._jobs: Dict[str, SolveJob] = {}
+ self._order: List[str] = []
+ self._lock = threading.Lock()
+ self._serial = threading.Lock() # 同一时刻只跑一个求解（ONNX 非线程安全）
+ self._last_end: Dict[str, float] = {}
+ self.max_jobs = max_jobs
+
+ def submit(self, target_key: str, params: Dict[str, Any]) -> SolveJob:
+ get_target(target_key) # 未知靶子直接抛错
+ job_id = uuid.uuid4().hex[:12]
+ job = SolveJob(job_id, target_key, params,
+ throttle=self._throttle, on_finish=self._on_finish)
+ with self._lock:
+ self._jobs[job_id] = job
+ self._order.append(job_id)
+ while len(self._order) > self.max_jobs:
+ self._jobs.pop(self._order.pop(0), None)
+ threading.Thread(target=self._worker, args=(job,),
+ name="solve-%s" % job_id, daemon=True).start()
+ return job
+
+ def get(self, job_id: str) -> Optional[SolveJob]:
+ with self._lock:
+ return self._jobs.get(job_id)
+
+ def list_jobs(self, limit: int = 30) -> List[Dict[str, Any]]:
+ with self._lock:
+ ids = list(self._order)[-limit:]
+ jobs = [self._jobs[i] for i in ids if i in self._jobs]
+ return [j.snapshot() for j in reversed(jobs)]
+
+ # ------------------------------------------------------------ 内部调度
+ def _worker(self, job: SolveJob) -> None:
+ if not self._serial.acquire(timeout=0.1):
+ job.events.append(EVT_LOG, level="INFO", logger="web.runner",
+ message="排队中：同一时刻只跑一个求解（ONNX 非线程安全），"
+ "前面的任务结束后自动开始")
+ self._serial.acquire()
+ try:
+ job.run()
+ finally:
+ self._serial.release()
+
+ def _throttle(self, job: SolveJob) -> float:
+ """按靶子**实测**的最小间隔节流（1ms=60s，mliev=3s）。返回实际等待秒数。"""
+ tgt = get_target(job.target_key)
+ with self._lock:
+ last = self._last_end.get(job.target_key)
+ if last is None:
+ return 0.0
+ need = float(tgt["min_interval"]) - (time.time() - last)
+ if need <= 0:
+ return 0.0
+ job.state = "throttled"
+ job.events.append(EVT_LOG, level="INFO", logger="web.runner",
+ message="频控节流：%s 实测最小间隔 %.0fs，还需等待 %.1fs"
+ "（连打会被判 errorCode=12，不是求解失败）"
+ % (job.target_key, tgt["min_interval"], need))
+ waited = 0.0
+ while waited < need:
+ if job.cancelled:
+ return waited
+ step = min(1.0, need - waited)
+ time.sleep(step)
+ waited += step
+ return waited
+
+ def _on_finish(self, job: SolveJob) -> None:
+ with self._lock:
+ self._last_end[job.target_key] = time.time()
+
+ def cooldown(self) -> Dict[str, float]:
+ """每个靶子还需等多少秒才能再打（给界面显示倒计时）。"""
+ now = time.time()
+ out: Dict[str, float] = {}
+ with self._lock:
+ for key, last in self._last_end.items():
+ try:
+ need = float(get_target(key)["min_interval"]) - (now - last)
+ except KeyError:
+ need = 0.0
+ out[key] = round(max(0.0, need), 1)
+ return out
+
+
+__all__ = ["SolveJob", "JobManager", "KIND_MAP", "EVT_TELEMETRY"]
diff --git a/tcaptcha/web/static/app.js b/tcaptcha/web/static/app.js
new file mode 100644
index 0000000..7b19ad4
--- /dev/null
+++ b/tcaptcha/web/static/app.js
@@ -0,0 +1,294 @@
+/* tcaptcha 观测台 —— 零构建单页。只用原生 API，不引框架/打包器。
+ *
+ * 数据来源只有两个：
+ * POST /api/jobs 建任务，拿 job_id
+ * GET /api/jobs/{id}/events SSE 事件流（服务端推 event.to_dict()）
+ * 事件类型由后端 tcaptcha/web/events.py 的 EVT_* 定义，这里按 data.type 分派。
+ */
+
+'use strict';
+
+const $ = (id) => document.getElementById(id);
+
+const EC_MEANING = {
+ 0: { text: '通过', cls: 'ec0' },
+ 50: { text: '答案被否', cls: 'ec50' },
+ 9: { text: '答案被否', cls: 'ec50' },
+ 12: { text: '包级拒答', cls: 'ec12' },
+};
+
+function ecInfo(ec) {
+ if (ec === null || ec === undefined || ec === '') return { text: '—', cls: 'ecother' };
+ return EC_MEANING[Number(ec)] || { text: '未知', cls: 'ecother' };
+}
+
+function hhmmss(ts) {
+ const d = new Date((ts || Date.now() / 1000) * 1000);
+ return d.toTimeString().slice(0, 8);
+}
+
+let state = {
+ targets: [], kinds: [], currentJob: null, es: null,
+ cooldownUntil: 0, cards: {}, lastResult: null,
+};
+
+/* ------------------------------------------------------------------ 启动 */
+async function boot() {
+ await loadTargets();
+ await loadHistory();
+ setInterval(tickCooldown, 1000);
+ $('target').onchange = () => renderNote();
+ $('start').onclick = startJob;
+ $('cancel').onclick = cancelJob;
+}
+
+async function loadTargets() {
+ const r = await fetch('/api/targets').then((x) => x.json());
+ state.targets = r.targets;
+ state.kinds = r.kinds;
+ $('target').innerHTML = r.targets
+ .map((t) => ``)
+ .join('');
+ renderNote();
+ applyCooldown(r.cooldown);
+}
+
+function renderNote() {
+ const t = state.targets.find((x) => x.key === $('target').value);
+ $('targetNote').textContent = t ? `【${t.key}】${t.note}` : '';
+}
+
+function applyCooldown(cd) {
+ const left = cd && cd[$('target').value];
+ if (typeof left === 'number' && left > 0) state.cooldownUntil = Date.now() + left * 1000;
+}
+
+function tickCooldown() {
+ const left = Math.ceil((state.cooldownUntil - Date.now()) / 1000);
+ const el = $('cooldown');
+ if (left > 0) {
+ el.textContent = `频控冷却 ${left}s`;
+ el.className = 'cooldown';
+ $('start').disabled = true;
+ } else {
+ el.textContent = '可发';
+ el.className = 'cooldown ready';
+ $('start').disabled = false;
+ }
+}
+
+/* ------------------------------------------------------------------ 任务 */
+async function startJob() {
+ const body = {
+ target: $('target').value,
+ kind: $('kind').value,
+ max_retries: 2,
+ max_refreshes: 20,
+ };
+ resetView();
+ const job = await fetch('/api/jobs', {
+ method: 'POST',
+ headers: { 'Content-Type': 'application/json' },
+ body: JSON.stringify(body),
+ }).then((r) => r.json());
+ subscribe(job.id);
+}
+
+function subscribe(jobId) {
+ if (state.es) { state.es.close(); state.es = null; }
+ state.currentJob = jobId;
+ $('jobId').textContent = jobId;
+ setState('pending');
+ $('cancel').disabled = false;
+ const es = new EventSource(`/api/jobs/${jobId}/events?since=0`);
+ es.onmessage = (e) => {
+ let evt;
+ try { evt = JSON.parse(e.data); } catch (err) { return; }
+ onEvent(evt);
+ if (evt.type === 'job.finished' || evt.type === 'job.error') {
+ es.close(); // 关键：必须主动关闭，否则 EventSource 会自动重连
+ if (state.es === es) state.es = null;
+ }
+ };
+ es.onerror = () => { /* 断线时 EventSource 自动重连并带 Last-Event-ID 续传 */ };
+ state.es = es;
+}
+
+async function cancelJob() {
+ if (!state.currentJob) return;
+ await fetch(`/api/jobs/${state.currentJob}/cancel`, { method: 'POST' });
+ $('cancel').disabled = true;
+}
+
+/* ------------------------------------------------------------ 事件分派 */
+function onEvent(evt) {
+ const { type, data } = evt;
+ switch (type) {
+ case 'job.started':
+ setState('running');
+ logRow('meta', `任务启动：靶子=${data.target} aid=${data.aid} 题型=${data.kind} 模式=${data.mode}`);
+ return;
+ case 'log':
+ logRow(data.level, data.message);
+ return;
+ case 'challenge':
+ addChallengeCard(data);
+ logRow('meta', `抽到第 ${data.index} 题：${data.kind} ${data.instruction}`);
+ return;
+ case 'solve':
+ fillSolve(data);
+ return;
+ case 'telemetry':
+ logRow('meta', `collect：来源=${data.source} 长度=${data.collect_len} ` +
+ `段几何=${data.segments ? JSON.stringify(data.segments) : '—'}` +
+ (data.traj_points ? ` 轨迹点=${data.traj_points}` : '') +
+ (data.segments_err ? ` ⚠ ${data.segments_err}` : ''));
+ return;
+ case 'verify':
+ renderVerify(data);
+ return;
+ case 'job.finished':
+ finishJob(data);
+ return;
+ case 'job.error':
+ setState('error');
+ logRow('ERROR', data.message || '任务异常');
+ $('cancel').disabled = true;
+ return;
+ default:
+ return;
+ }
+}
+
+function setState(s) {
+ const map = {
+ pending: ['排队中', ''], running: ['执行中', 'running'], throttled: ['频控等待', 'warn'],
+ done: ['已完成', 'ok'], error: ['失败', 'err'], cancelled: ['已取消', 'warn'],
+ };
+ const [text, cls] = map[s] || [s, ''];
+ const el = $('state');
+ el.textContent = text;
+ el.className = 'badge ' + cls;
+}
+
+function logRow(level, message) {
+ const box = $('log');
+ const atBottom = box.scrollTop + box.clientHeight >= box.scrollHeight - 30;
+ const row = document.createElement('div');
+ row.className = 'row ' + level;
+ row.innerHTML = `${hhmmss()}`;
+ row.querySelector('.m').textContent = message;
+ box.appendChild(row);
+ if (atBottom) box.scrollTop = box.scrollHeight;
+}
+
+/* ------------------------------------------------------------ 图片卡片 */
+function addChallengeCard(d) {
+ const wrap = $('images');
+ const card = document.createElement('div');
+ card.className = 'shot';
+ const imgs = [];
+ if (d.bg_url) imgs.push(`
`);
+ if (d.prompt_url) imgs.push(`
`);
+ card.innerHTML =
+ `第 ${d.index} 题 · ${d.kind}
+ ${d.instruction || ''}
+ ${imgs.join('')}
+ 求解中…
`;
+ wrap.prepend(card); // 最新的题放最上面
+ state.cards[d.index] = card;
+}
+
+function fillSolve(d) {
+ const card = state.cards[d.index];
+ if (!card) return;
+ const offs = (d.off_px || []).map((v) => (v === null ? '—' : v + 'px')).join(' / ');
+ card.querySelector('[data-pts]').textContent =
+ `点位（按点击顺序）: ${JSON.stringify(d.points)} 离图标中心: ${offs}`;
+ if (d.annotated_url) {
+ const box = card.querySelector('.pair');
+ const img = document.createElement('img');
+ img.src = d.annotated_url;
+ img.alt = '标注图';
+ box.appendChild(img);
+ }
+ if (d.note) logRow('meta', `求解结论: ${d.note}`);
+}
+
+/* ------------------------------------------------------------ 结果渲染 */
+function renderVerify(d) {
+ const info = ecInfo(d.errorCode);
+ state.lastResult = d;
+ $('result').innerHTML = `
+
+
errorCode
+
${d.errorCode ?? '—'} ${info.text}
+
+
randstr
${d.randstr || '—'}
+
+
+
结果
${d.success ? '成功' : (d.errorCode ?? '失败')}
+
抽题次数
${st.challenges ?? '—'}
+
+
平均偏离中心
${st.mean_offset_px ?? '—'}${st.mean_offset_px ? 'px' : ''}
+
${hhmmss(j.created_at)} |
+ ${j.target} |
+ ${j.params.kind} |
+ ${ec ?? '—'} ${info.text} |
+ ${fmtMs(j.result ? j.result.elapsed_ms : null)} |
+ ${(j.result && j.result.success) ? '✓' : '—'} |
+ ${(j.result && j.result.ticket) ? j.result.ticket.slice(0, 14) + '…' : '—'} | `;
+ tr.onclick = () => replay(j.id);
+ tb.appendChild(tr);
+ }
+}
+
+/** 点历史行 → 重新订阅该任务的事件流，把整个过程重放一遍。 */
+function replay(jobId) {
+ resetView();
+ logRow('meta', `重放任务 ${jobId} …`);
+ subscribe(jobId);
+ $('cancel').disabled = true;
+}
+
+function resetView() {
+ $('log').innerHTML = '';
+ $('images').innerHTML = '';
+ $('result').innerHTML = '等待事件…
';
+ state.cards = {};
+}
+
+boot();
diff --git a/tcaptcha/web/static/index.html b/tcaptcha/web/static/index.html
new file mode 100644
index 0000000..afe7340
--- /dev/null
+++ b/tcaptcha/web/static/index.html
@@ -0,0 +1,68 @@
+
+
+
+
+
+ tcaptcha 观测台
+
+
+
+
+
+
tcaptcha 观测台
+ 腾讯天御验证码 · 纯协议求解 · 实时观测
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+ 历史任务
+
+
+ | 时间 | 靶子 | 题型 | errorCode | 耗时 | 点位 | ticket |
|---|
+
+
+
+
+
+
+
+
+
+
diff --git a/tcaptcha/web/static/style.css b/tcaptcha/web/static/style.css
new file mode 100644
index 0000000..94df273
--- /dev/null
+++ b/tcaptcha/web/static/style.css
@@ -0,0 +1,114 @@
+:root {
+ --bg: #0f1115;
+ --panel: #171a21;
+ --panel-2: #1e222b;
+ --line: #2a2f3a;
+ --fg: #e6e9ef;
+ --muted: #8b93a3;
+ --ok: #35c48a;
+ --warn: #e5a13a;
+ --err: #e05a5a;
+ --accent: #4c8dff;
+ --mono: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
+}
+
+* { box-sizing: border-box; }
+
+body {
+ margin: 0;
+ background: var(--bg);
+ color: var(--fg);
+ font: 14px/1.55 -apple-system, "PingFang SC", "Microsoft YaHei", system-ui, sans-serif;
+ padding: 16px 18px 40px;
+}
+
+header { margin-bottom: 14px; }
+.brand { display: flex; align-items: baseline; gap: 12px; flex-wrap: wrap; }
+h1 { font-size: 18px; margin: 0; letter-spacing: .3px; }
+h2 { font-size: 13px; margin: 0 0 10px; color: var(--muted); font-weight: 600;
+ text-transform: uppercase; letter-spacing: .6px;
+ display: flex; align-items: center; gap: 10px; }
+.sub { color: var(--muted); font-size: 12px; }
+
+.controls { display: flex; align-items: center; gap: 10px; margin-top: 12px; flex-wrap: wrap; }
+.controls label { display: flex; align-items: center; gap: 6px; color: var(--muted); font-size: 13px; }
+select, button {
+ background: var(--panel-2); color: var(--fg);
+ border: 1px solid var(--line); border-radius: 7px;
+ padding: 7px 11px; font-size: 13px; font-family: inherit;
+}
+button { cursor: pointer; }
+button:hover:not(:disabled) { border-color: var(--accent); }
+button:disabled { opacity: .45; cursor: not-allowed; }
+button.primary { background: var(--accent); border-color: var(--accent); color: #fff; font-weight: 600; }
+button.primary:disabled { background: var(--panel-2); color: var(--fg); border-color: var(--line); }
+
+.note { margin-top: 8px; font-size: 12.5px; color: var(--muted); }
+.cooldown { font-family: var(--mono); font-size: 12.5px; color: var(--warn); }
+.cooldown.ready { color: var(--ok); }
+
+main { display: grid; grid-template-columns: minmax(380px, 1fr) minmax(420px, 1.2fr); gap: 14px; }
+@media (max-width: 1080px) { main { grid-template-columns: 1fr; } }
+
+.panel {
+ background: var(--panel); border: 1px solid var(--line);
+ border-radius: 11px; padding: 13px 14px; margin-bottom: 14px;
+}
+.panel.wide { margin-bottom: 14px; }
+
+.badge {
+ font-size: 11px; padding: 2px 9px; border-radius: 999px;
+ background: var(--panel-2); color: var(--muted); border: 1px solid var(--line);
+ font-weight: 500; text-transform: none; letter-spacing: 0;
+}
+.badge.running { color: var(--accent); border-color: var(--accent); }
+.badge.ok { color: var(--ok); border-color: var(--ok); }
+.badge.warn { color: var(--warn); border-color: var(--warn); }
+.badge.err { color: var(--err); border-color: var(--err); }
+
+.log {
+ font-family: var(--mono); font-size: 12px;
+ height: 460px; overflow-y: auto;
+ background: #0c0e12; border: 1px solid var(--line); border-radius: 8px;
+ padding: 9px 11px;
+}
+.log .row { display: grid; grid-template-columns: 62px 1fr; gap: 9px; padding: 1px 0; }
+.log .t { color: #5a6376; }
+.log .m { white-space: pre-wrap; word-break: break-word; }
+.log .row.INFO .m { color: #cdd4e0; }
+.log .row.WARNING .m { color: var(--warn); }
+.log .row.ERROR .m { color: var(--err); }
+.log .row.meta .m { color: var(--muted); font-style: italic; }
+
+.result { margin-bottom: 12px; }
+.result .card {
+ display: grid; grid-template-columns: repeat(auto-fit, minmax(155px, 1fr));
+ gap: 9px; margin-top: 9px;
+}
+.result .kv {
+ background: var(--panel-2); border: 1px solid var(--line);
+ border-radius: 8px; padding: 8px 10px;
+}
+.result .kv .k { color: var(--muted); font-size: 11px; letter-spacing: .4px; }
+.result .kv .v { font-family: var(--mono); font-size: 14px; margin-top: 3px; word-break: break-all; }
+.v.ec0 { color: var(--ok); } .v.ec50 { color: var(--warn); }
+.v.ec12 { color: var(--err); } .v.ecother { color: var(--muted); }
+
+.images { display: grid; gap: 11px; }
+.shot { background: var(--panel-2); border: 1px solid var(--line); border-radius: 9px; padding: 9px; }
+.shot .cap { display: flex; justify-content: space-between; align-items: center;
+ font-size: 12px; color: var(--muted); margin-bottom: 7px; }
+.shot img { width: 100%; border-radius: 6px; display: block; background: #000; }
+.shot .pair { display: grid; grid-template-columns: 1fr; gap: 7px; }
+.shot .pts { font-family: var(--mono); font-size: 11.5px; color: #9fb0cc; margin-top: 6px; }
+
+table { width: 100%; border-collapse: collapse; font-size: 12.5px; }
+th, td { text-align: left; padding: 7px 9px; border-bottom: 1px solid var(--line); }
+th { color: var(--muted); font-weight: 600; font-size: 11px; letter-spacing: .4px; }
+td.mono, .mono { font-family: var(--mono); }
+tbody tr:hover { background: var(--panel-2); cursor: pointer; }
+
+.legend { display: flex; gap: 20px; flex-wrap: wrap; color: var(--muted); font-size: 12px; margin-top: 6px; }
+.legend b { font-family: var(--mono); padding: 1px 6px; border-radius: 5px; }
+.ec0 { color: var(--ok); } .ec50 { color: var(--warn); } .ec12 { color: var(--err); }
+.muted { color: var(--muted); }
diff --git a/uv.lock b/uv.lock
index 0343bf7..79a2f58 100644
--- a/uv.lock
+++ b/uv.lock
@@ -13,6 +13,24 @@ resolution-markers = [
"python_full_version < '3.13' and sys_platform == 'darwin'",
]
+[[package]]
+name = "annotated-doc"
+version = "0.0.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5a/8e/38aa427ed5402449e226975b649c5dc73ccadfefeb95e6aecb8f8ea4b6b6/annotated_doc-0.0.5.tar.gz", hash = "sha256:c7e58ce09192557605d8bbd92836d7e1d520ac9580096042c0bfd197efacf1bb", size = 10758, upload-time = "2026-07-28T13:50:58.129Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/3e/30/e900b21425a860e195f32e37657aa1f7c7f2b1bfb26f03ca209b90933c06/annotated_doc-0.0.5-py3-none-any.whl", hash = "sha256:117bac03a25ede5df5440e855b32d556049ca169ead221505badf432fed4b101", size = 5302, upload-time = "2026-07-28T13:50:57.239Z" },
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.8.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/5f/56/a8120250d128bed162cd73c76d45f6ef9991f3e068f62a8ee060afa3104a/annotated_types-0.8.0.tar.gz", hash = "sha256:13b2beaad985e05e2d6407ee4c4f35590b11f8d693a258a561055cac8f64cab7", size = 15893, upload-time = "2026-07-23T20:16:13.995Z" }
+wheels = [
+ { url = "https://files.pythonhosted.org/packages/99/91/8acff4f5e50511b911bbccb72b8628a49c68ce14148cd9f6431094859a90/annotated_types-0.8.0-py3-none-any.whl", hash = "sha256:f072f4d804ea359e4eaf198b1af7a8b0943881a87f31bb764f8bf219bb9419e0", size = 13427, upload-time = "2026-07-23T20:16:12.938Z" },
+]
+
[[package]]
name = "anyio"
version = "4.15.1"
@@ -121,284 +139,12 @@ wheels = [
]
[[package]]
-name = "charset-normalizer"
-version = "3.5.1"
+name = "click"
+version = "8.5.0"
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