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32
README.md
32
README.md
@@ -1,8 +1,23 @@
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# xc_validation_strategy_vllm_stop
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用于停止 `l112233` 账号当前状态为 `waiting` 的验证任务的 ModelHub XC 策略服务。
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用于依次停止以下账号中,状态严格为 `waiting` 且 GPU 类型严格为 `Sunrise_pt-200-x1` 的 ModelHub XC 验证任务:
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服务启动后会调用:
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- `jiangxiaowen`
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- `l112233`
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- `l11223344`
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策略在运行时使用每个账号自己的 `xc-Token` 分页查询任务,并对返回记录再次校验 `userAccount`、`status` 和 `gpuType`。其他 GPU 类型以及非 `waiting` 状态的任务不会进入停止请求。
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2026-08-10 部署前只读核验结果:
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| 账号 | `Sunrise_pt-200-x1` waiting 数量 |
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| --- | ---: |
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| `jiangxiaowen` | 866 |
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| `l112233` | 1400 |
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| `l11223344` | 619 |
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| 合计 | 2885 |
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服务启动后按账号及每批 50 条调用:
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```text
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PUT /api/async/task/stop-create-contest-task
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@@ -11,15 +26,10 @@ PUT /api/async/task/stop-create-contest-task
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停止请求完成后,进程继续运行,以便平台通过健康检查和状态接口读取执行结果。
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## 任务清单
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策略内置了 2026-07-25 通过 `l112233` 账号查询得到的 99 个 `waiting` 任务 ID。总历史任务数为 518,但已完成与失败任务不会写入该清单,也不会被停止。
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可选配置如下:
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## 可选配置
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| 变量 | 默认值 | 说明 |
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| --- | --- | --- |
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| `TASK_IDS` | 内置的 99 个 waiting 任务 ID | 可选的逗号分隔任务 ID;设置后完全替换内置清单。 |
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| `BASE_URL` | `https://modelhub.org.cn` | ModelHub 服务地址。 |
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| `BATCH_SIZE` | `50` | 每个停止请求包含的任务数。 |
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| `MAX_RETRIES` | `3` | 单批任务的最大请求次数。 |
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@@ -29,13 +39,11 @@ PUT /api/async/task/stop-create-contest-task
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## 平台运行接口
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- `GET /health`:存活探针,成功返回 `{"status":"ok"}`。
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- `GET /status`:返回执行阶段、成功/失败数量、失败的任务 ID 与错误信息。
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- `GET /status`:返回目标 GPU、总体及每个账号的成功/失败数量、失败任务 ID 和错误信息。
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## 运行与构建
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仓库根目录的 `Dockerfile` 使用平台 Python 基础镜像,暴露 `8080` 端口并以 `python main.py` 启动。构建成功后,策略会将内置任务 ID 按批调用停止接口。
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本地验证:
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仓库根目录的 `Dockerfile` 使用平台 Python 基础镜像,暴露 `8080` 端口并以 `python main.py` 启动。构建成功后,策略会按 `jiangxiaowen → l112233 → l11223344` 的顺序逐账号处理。
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```bash
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python main.py
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200
main.py
200
main.py
@@ -1,14 +1,15 @@
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"""Stop zhoukaile's waiting ModelHub XC validation tasks.
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"""Stop waiting Sunrise_pt-200-x1 validation tasks for selected accounts.
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The service performs the stop requests once at startup and then stays alive so
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the strategy platform can probe it through ``/health`` and inspect ``/status``.
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The worker processes accounts sequentially. For each account it discovers the
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current target tasks, validates account/status/GPU locally, then stops them in
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batches with that account's own xc-Token. The HTTP service remains available
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for platform health and status probes after the worker finishes.
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"""
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import json
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import os
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import signal
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import threading
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import time
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from datetime import datetime, timezone
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from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
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from typing import Any
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@@ -16,42 +17,49 @@ from typing import Any
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import requests
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BASE_URL = os.environ.get("BASE_URL", "https://modelhub.org.cn").rstrip("/")
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TASK_PAGE_ENDPOINT = "/api/adapt/task/page"
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STOP_TASK_ENDPOINT = "/api/async/task/stop-create-contest-task"
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USER_ACCOUNT = "l112233"
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XC_TOKEN = "40cb6910dc9a442a816298a228da65ac"
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TARGET_GPU = "Sunrise_pt-200-x1"
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TARGET_STATUS = "waiting"
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STRATEGY_ID = os.environ.get("STRATEGY_ID", "")
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HTTP_HOST = "0.0.0.0"
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HTTP_PORT = int(os.environ.get("PORT", "8080"))
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PAGE_SIZE = 100
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BATCH_SIZE = int(os.environ.get("BATCH_SIZE", "50"))
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MAX_RETRIES = int(os.environ.get("MAX_RETRIES", "3"))
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REQUEST_TIMEOUT = int(os.environ.get("REQUEST_TIMEOUT", "30"))
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# Snapshot queried from /api/adapt/task/page on 2026-07-25. These are the
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# 99 records whose status was exactly "waiting"; completed/failed tasks are
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# deliberately excluded.
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DEFAULT_TASK_IDS = [
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3471434, 3471433, 3471431, 3471430, 3471429, 3471428, 3471427,
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3471426, 3471425, 3471424, 3471423, 3471422, 3471421, 3471420,
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3471419, 3471418, 3471416, 3471415, 3471414, 3471413, 3471412,
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3471411, 3471410, 3471409, 3471408, 3471407, 3471406, 3471405,
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3471404, 3471403, 3471402, 3471401, 3471400, 3471399, 3471398,
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3471397, 3471396, 3471395, 3471394, 3471393, 3471392, 3471391,
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3471390, 3471389, 3471388, 3471387, 3471386, 3471385, 3471384,
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3471383, 3471382, 3471381, 3471380, 3471379, 3471378, 3471377,
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3471376, 3471375, 3471374, 3471373, 3471372, 3471371, 3471370,
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3471369, 3471368, 3471367, 3471366, 3471365, 3471364, 3471363,
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3471362, 3471361, 3471360, 3471359, 3471358, 3471357, 3471356,
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3471355, 3471354, 3471353, 3471352, 3471351, 3471350, 3471348,
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3471347, 3471346, 3471345, 3471344, 3471343, 3471342, 3471341,
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3471340, 3471339, 3471338, 3471337, 3471336, 3007636, 3007635,
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3007634,
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TARGETS = [
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{
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"account": "jiangxiaowen",
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"xc_token": "88d5fee9f1fe4f7583f11a9d3702dc85",
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},
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{
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"account": "l112233",
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"xc_token": "40cb6910dc9a442a816298a228da65ac",
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},
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{
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"account": "l11223344",
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"xc_token": "e1c0db2959e5411f9342c8550b03f6e9",
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},
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]
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_shutdown = threading.Event()
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_state: dict[str, Any] = {
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"strategy_id": STRATEGY_ID,
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"account": USER_ACCOUNT,
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"target_gpu": TARGET_GPU,
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"target_status": TARGET_STATUS,
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"accounts": {
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target["account"]: {
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"phase": "pending",
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"total": 0,
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"stopped": 0,
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"failed": 0,
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"failed_task_ids": [],
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}
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for target in TARGETS
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},
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"phase": "starting", # starting | stopping | done | partial_failure | error
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"total": 0,
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"stopped": 0,
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@@ -67,24 +75,6 @@ def _now() -> str:
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return datetime.now(timezone.utc).isoformat()
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def _task_ids_from_environment() -> list[int] | None:
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"""Return an explicit TASK_IDS override, if one was supplied."""
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raw_task_ids = os.environ.get("TASK_IDS", "").strip()
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if not raw_task_ids:
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return None
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task_ids: list[int] = []
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for value in raw_task_ids.split(","):
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value = value.strip()
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if not value:
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continue
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try:
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task_ids.append(int(value))
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except ValueError as exc:
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raise ValueError(f"TASK_IDS contains a non-numeric task ID: {value!r}") from exc
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return list(dict.fromkeys(task_ids))
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class Handler(BaseHTTPRequestHandler):
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def do_GET(self) -> None: # noqa: N802 - BaseHTTPRequestHandler API
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if self.path == "/health":
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@@ -115,11 +105,69 @@ def _run_http() -> None:
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server.server_close()
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def _stop_batch(task_ids: list[int]) -> bool:
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headers = {
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"Content-Type": "application/json",
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"xc-Token": XC_TOKEN,
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}
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def _fetch_target_task_ids(account: str, xc_token: str) -> list[int]:
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"""Return only this account's waiting tasks on the exact target GPU."""
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headers = {"xc-Token": xc_token}
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task_ids: list[int] = []
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page = 1
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while True:
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response = requests.get(
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f"{BASE_URL}{TASK_PAGE_ENDPOINT}",
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headers=headers,
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params={
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"current": page,
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"pageSize": PAGE_SIZE,
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"status": TARGET_STATUS,
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"gpuType": TARGET_GPU,
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},
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timeout=REQUEST_TIMEOUT,
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)
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response.raise_for_status()
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result = response.json()
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if result.get("code") != 0:
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raise RuntimeError(
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f"{account}: task query failed: {result.get('message', 'unknown error')}"
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)
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data = result.get("data") or {}
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for record in data.get("records") or []:
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record_account = record.get("userAccount")
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record_status = str(record.get("status", "")).lower()
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record_gpu = record.get("gpuType")
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if (
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record_account != account
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or record_status != TARGET_STATUS
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or record_gpu != TARGET_GPU
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):
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print(
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f"[query] {account}: rejected mismatched record "
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f"taskId={record.get('taskId')} account={record_account!r} "
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f"status={record_status!r} gpuType={record_gpu!r}",
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flush=True,
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)
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continue
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try:
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task_ids.append(int(record["taskId"]))
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except (KeyError, TypeError, ValueError):
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print(f"[query] {account}: rejected non-numeric task ID", flush=True)
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pages = int(data.get("pages") or 0)
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if page >= pages:
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break
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page += 1
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unique_task_ids = list(dict.fromkeys(task_ids))
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print(
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f"[query] {account}: found {len(unique_task_ids)} "
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f"{TARGET_STATUS} tasks on {TARGET_GPU}",
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flush=True,
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)
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return unique_task_ids
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def _stop_batch(account: str, xc_token: str, task_ids: list[int]) -> bool:
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headers = {"Content-Type": "application/json", "xc-Token": xc_token}
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url = f"{BASE_URL}{STOP_TASK_ENDPOINT}"
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for attempt in range(1, MAX_RETRIES + 1):
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try:
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@@ -135,15 +183,22 @@ def _stop_batch(task_ids: list[int]) -> bool:
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result = {"message": response.text[:500]}
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if response.ok and result.get("code") == 0:
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print(f"[stop] stopped task IDs: {task_ids}", flush=True)
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print(
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f"[stop] {account}: stopped {len(task_ids)} task IDs",
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flush=True,
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)
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return True
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print(
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f"[stop] attempt {attempt}/{MAX_RETRIES} failed for {task_ids}: "
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f"HTTP {response.status_code}, {result}",
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f"[stop] {account}: attempt {attempt}/{MAX_RETRIES} failed "
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f"for {len(task_ids)} tasks: HTTP {response.status_code}, {result}",
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flush=True,
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)
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except requests.RequestException as exc:
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print(f"[stop] attempt {attempt}/{MAX_RETRIES} request error for {task_ids}: {exc}", flush=True)
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print(
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f"[stop] {account}: attempt {attempt}/{MAX_RETRIES} "
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f"request error: {exc}",
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flush=True,
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)
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if attempt < MAX_RETRIES and not _shutdown.wait(attempt):
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continue
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@@ -156,22 +211,33 @@ def _run_worker() -> None:
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_state["started_at"] = _now()
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_state["phase"] = "stopping"
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try:
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task_ids = _task_ids_from_environment() or DEFAULT_TASK_IDS
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if not task_ids:
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print("[query] no active validation tasks found", flush=True)
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_state["phase"] = "done"
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return
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_state["total"] = len(task_ids)
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for start in range(0, len(task_ids), BATCH_SIZE):
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for target in TARGETS:
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if _shutdown.is_set():
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break
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batch = task_ids[start : start + BATCH_SIZE]
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if _stop_batch(batch):
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_state["stopped"] += len(batch)
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else:
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_state["failed"] += len(batch)
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_state["failed_task_ids"].extend(batch)
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account = target["account"]
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account_state = _state["accounts"][account]
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account_state["phase"] = "querying"
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task_ids = _fetch_target_task_ids(account, target["xc_token"])
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account_state["total"] = len(task_ids)
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_state["total"] += len(task_ids)
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account_state["phase"] = "stopping"
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for start in range(0, len(task_ids), BATCH_SIZE):
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if _shutdown.is_set():
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break
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batch = task_ids[start : start + BATCH_SIZE]
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if _stop_batch(account, target["xc_token"], batch):
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_state["stopped"] += len(batch)
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account_state["stopped"] += len(batch)
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else:
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_state["failed"] += len(batch)
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_state["failed_task_ids"].extend(batch)
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account_state["failed"] += len(batch)
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account_state["failed_task_ids"].extend(batch)
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account_state["phase"] = (
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"done" if account_state["failed"] == 0 else "partial_failure"
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)
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_state["phase"] = "done" if _state["failed"] == 0 else "partial_failure"
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except Exception as exc: # exposed through /status for diagnosis
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Reference in New Issue
Block a user