总工andmultica-agent
fa82b8621e
主站行情管理并入数据中枢
- 数据中枢数据源配置页新增「主站行情任务」卡：交易时段后台刷新开关、
手动后台刷新、历史区间回补（任务提交 + 轮询主站 job 记录亮灯），
数据与调度仍归主站，控制台只经桥接代操作
- 新增桥接端点 /api/hub-admin/market/{refresh,backfill}；回补改为
market.backfill 后台任务（jobs.config.json 注册，锁独立，超时 30 分钟），
桥接调用秒回，不再阻塞
- 主站桌面端删除顶栏「行情管理」按钮与整个行情管理对话框，清理随之
失效的 CSS；移动端删除 system/admin 页与入口，管理员专区只留数据中枢
- Tushare Token / iFinD 凭证编辑沿用数据源页既有凭证区，无功能缺失
模型池收起修复
- 拉出模型清单后按钮切换为「收起列表」，收起只留一行摘要；再次点击
重新拉取并展开；勾选添加完成后清单自动收起（原逻辑保留）
- 交互全部沿用 HEL-558 已确认样式的既有按钮与提示组件，未新增视觉
自测
- verify_baseline 通过；pytest 492 项通过；数据中枢 240 项通过
- verify_datahub_console 新增 [11b] 行情任务桥接端到端段；UI 自测新增
行情任务卡开关往返、模型清单展开/收起/再展开/添加自动收起，日夜主题
与 1030 窄屏复验通过
- Playwright e2e 102/103：唯一失败项在基线提交上同样失败（本机字体度量
导致的头部溢出，与本卡无关）
Co-authored-by: multica-agent <github@multica.ai>
77 lines
3.1 KiB
Python
77 lines
3.1 KiB
Python
from __future__ import annotations
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import threading
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import time
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from datetime import date
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from backend.bootstrap.config import normalize_date
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from backend.jobs.refresh import official_catchup_due, verified_dashboard_result
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class JobServiceMixin:
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def start_background_jobs(self) -> threading.Thread:
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return self.jobs.start_scheduler(
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self._background_refresh_tick,
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interval_seconds=5,
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initial_delay_seconds=3,
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)
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def stop_background_jobs(self, timeout_seconds: float = 5) -> bool:
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scheduler_stopped = self.jobs.stop_scheduler(timeout_seconds)
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workers_stopped = self.jobs.wait_for_idle(timeout_seconds)
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return scheduler_stopped and workers_stopped
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def request_background_sync(self, trade_date: str) -> dict[str, object]:
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normalized = normalize_date(trade_date)
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key = f"manual:{normalized}:{time.time_ns()}"
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started = self.jobs.submit(
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"market.refresh",
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key,
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lambda: verified_dashboard_result(self.sync_dashboard(normalized)),
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{"trade_date": normalized, "trigger": "administrator"},
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)
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return {"started": started, "job_key": key if started else ""}
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def request_market_backfill(self, start_date: str, end_date: str) -> dict[str, object]:
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"""HEL-566: submit the admin snapshot backfill as a tracked job.
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The data hub console triggers this over the service bridge; the work
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itself can run for minutes, so it must not block the bridge call.
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"""
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normalized_start = normalize_date(start_date)
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normalized_end = normalize_date(end_date)
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key = f"backfill:{normalized_start}:{normalized_end}:{time.time_ns()}"
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started = self.jobs.submit(
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"market.backfill",
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key,
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lambda: self.backfill(normalized_start, normalized_end),
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{"start_date": normalized_start, "end_date": normalized_end, "trigger": "administrator"},
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)
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return {"started": started, "job_key": key if started else ""}
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def _background_refresh_tick(self) -> None:
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if not (
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self.configured
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and self._system_credentials.get("background_refresh_enabled", True)
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):
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return
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today = date.today().strftime("%Y%m%d")
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snapshot = self.database.get_snapshot(today) or {}
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if self._realtime_snapshot_due(today, snapshot):
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bucket = int(time.time() // 5)
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self.jobs.submit(
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"market.refresh",
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f"realtime:{today}:{bucket}",
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lambda: verified_dashboard_result(self.sync_dashboard(today)),
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{"trade_date": today, "trigger": "realtime-poll"},
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)
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elif official_catchup_due(today, snapshot):
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bucket = int(time.time() // 300)
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self.jobs.submit(
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"market.refresh",
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f"catchup:{today}:{bucket}",
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lambda: verified_dashboard_result(self.sync_dashboard(today)),
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{"trade_date": today, "trigger": "official-catchup"},
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)
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self._schedule_automatic_screeners(today, snapshot)
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