210 lines
8.7 KiB
Python
210 lines
8.7 KiB
Python
from datetime import datetime
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from zoneinfo import ZoneInfo
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from app.api.schemas import (
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BenchmarkTimelinePoint,
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BenchmarkTimelineSeries,
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HistoryResponse,
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HistorySummary,
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MetaResponse,
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OverviewResponse,
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OverviewSnapshot,
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PushRecord,
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PushRecordsResponse,
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RecentTradeDay,
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RuleItem,
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RulesResponse,
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SourceDiagnosticsResponse,
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StatPoint,
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TimelinePoint,
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ValueWithStatus,
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)
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from app.core.config import HISTORY_START_DATE
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from app.repositories.monitoring_repository import MonitoringRepository
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from app.services.market_clock import get_market_state
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class MonitoringService:
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def __init__(self) -> None:
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self.repository = MonitoringRepository()
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@staticmethod
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def _empty_snapshot(trade_date: str, source_name: str) -> dict:
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return {
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"trade_date": trade_date,
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"snapshot_time": None,
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"market_state": get_market_state(),
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"total_net_inflow": None,
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"cumulative_net_inflow": None,
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"shanghai_net_inflow": None,
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"shenzhen_net_inflow": None,
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"buy_amount": None,
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"sell_amount": None,
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"net_buy_amount": None,
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"one_min_change": None,
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"five_min_change": None,
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"precision": "unavailable",
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"source_name": source_name,
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"source_url": None,
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"updated_at": None,
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"unavailable_reason": "今天的实时快照尚未同步成功，系统不会继续展示昨天的数据。",
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"threshold_progress": 0.0,
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"next_threshold_hkd_billion": 50,
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"minute_timeline": [],
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"benchmark_series": [],
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}
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def get_meta(self) -> MetaResponse:
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config = self.repository.get_system_config()
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return MetaResponse(
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product_name=config["product_name"],
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version="0.1.0",
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timezone=config["timezone"],
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market_state=get_market_state(),
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current_trade_date=datetime.now(ZoneInfo(config["timezone"])).date().isoformat(),
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source_name=config["source_name"],
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source_strategy=config["source_strategy"],
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note="当前版本已接入真实数据同步链路，前端展示结果来自已持久化的 JSON 数据。",
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)
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def get_overview(self) -> OverviewResponse:
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config = self.repository.get_system_config()
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current_trade_date = datetime.now(ZoneInfo(config["timezone"])).date().isoformat()
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payload = self.repository.get_snapshot_by_trade_date(current_trade_date)
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if not payload:
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payload = self._empty_snapshot(current_trade_date, config["source_name"])
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precision = payload.get("precision", "unavailable")
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def value(label: str, key: str) -> ValueWithStatus:
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return ValueWithStatus(
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amount_hkd_billion=payload.get(key),
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precision=precision,
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label=label,
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)
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snapshot = OverviewSnapshot(
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trade_date=payload["trade_date"],
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snapshot_time=payload.get("snapshot_time"),
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market_state=payload.get("market_state", get_market_state()),
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total_net_inflow=value("当日总净流入", "total_net_inflow"),
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cumulative_net_inflow=value("当日累计净流入", "cumulative_net_inflow"),
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shanghai_net_inflow=value("港股通（沪）净流入", "shanghai_net_inflow"),
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shenzhen_net_inflow=value("港股通（深）净流入", "shenzhen_net_inflow"),
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buy_amount=value("买入额", "buy_amount"),
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sell_amount=value("卖出额", "sell_amount"),
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net_buy_amount=value("净买额", "net_buy_amount"),
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one_min_change=value("1 分钟变化", "one_min_change"),
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five_min_change=value("5 分钟变化", "five_min_change"),
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threshold_progress=payload.get("threshold_progress", 0),
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next_threshold_hkd_billion=payload.get("next_threshold_hkd_billion", 50),
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source_name=payload.get("source_name", "东方财富"),
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source_url=payload.get("source_url"),
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updated_at=payload.get("updated_at"),
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unavailable_reason=payload.get("unavailable_reason"),
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)
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minute_timeline = [TimelinePoint(**item) for item in payload.get("minute_timeline", [])]
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benchmark_series = [
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BenchmarkTimelineSeries(
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key=item["key"],
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label=item["label"],
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unit=item["unit"],
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detail_url=item.get("detail_url"),
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points=[BenchmarkTimelinePoint(**point) for point in item.get("points", [])],
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)
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for item in payload.get("benchmark_series", [])
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]
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recent_push_records = [PushRecord(**item) for item in self.repository.get_push_records().get("records", [])[:5]]
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return OverviewResponse(
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snapshot=snapshot,
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minute_timeline=minute_timeline,
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benchmark_series=benchmark_series,
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recent_push_records=recent_push_records,
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)
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def get_history(self) -> HistoryResponse:
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payload = self.repository.get_history()
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summary = HistorySummary(**payload["summary"])
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return HistoryResponse(
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start_date=payload.get("start_date", HISTORY_START_DATE),
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daily=[StatPoint(**item) for item in payload.get("daily", [])],
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weekly=[StatPoint(**item) for item in payload.get("weekly", [])],
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monthly=[StatPoint(**item) for item in payload.get("monthly", [])],
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cumulative=[StatPoint(**item) for item in payload.get("cumulative", [])],
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benchmark_history={
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key: [StatPoint(**item) for item in value]
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for key, value in payload.get("benchmark_history", {}).items()
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},
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recent_trade_days=[RecentTradeDay(**item) for item in payload.get("recent_trade_days", [])],
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summary=summary,
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)
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def get_push_records(self) -> PushRecordsResponse:
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records = [PushRecord(**item) for item in self.repository.get_push_records().get("records", [])]
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return PushRecordsResponse(records=records)
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def get_rules(self) -> RulesResponse:
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config = self.repository.get_system_config()
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items = [
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RuleItem(
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key="realtime_collection_interval_seconds",
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label="实时采集间隔",
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value=f'{config["realtime_collection_interval_seconds"]} 秒',
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description="分钟级快照拉取周期。",
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),
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RuleItem(
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key="history_backfill_start_date",
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label="历史回补起始日",
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value=config["history_backfill_start_date"],
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description="历史统计的回补起点。",
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),
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RuleItem(
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key="threshold_step_hkd_billion",
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label="阈值突破档位",
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value=f'{config["threshold_step_hkd_billion"]} 亿港元',
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description="累计净流入按该步长触发突破提醒。",
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),
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RuleItem(
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key="five_minute_flow_alert_hkd_billion",
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label="5 分钟异动阈值",
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value=f'{config["five_minute_flow_alert_hkd_billion"]} 亿港元',
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description="5 分钟净变化绝对值超过该阈值触发告警。",
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),
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RuleItem(
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key="email_enabled",
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label="邮件开关",
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value="开启" if config["email_enabled"] else "关闭",
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description="是否发送邮件推送。",
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),
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RuleItem(
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key="sender_email",
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label="发件邮箱",
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value=config["sender_email"],
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description="SMTP 发件人邮箱。",
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),
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RuleItem(
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key="smtp",
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label="SMTP 地址与端口",
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value=f'{config["smtp_host"]}:{config["smtp_port"]}',
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description="邮件服务配置。",
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),
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RuleItem(
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key="recipients",
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label="收件人列表",
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value=", ".join(config["recipients"]),
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description="告警接收对象。",
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),
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RuleItem(
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key="source_name",
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label="当前主数据源",
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value=config["source_name"],
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description="正式口径唯一主源。",
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),
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]
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return RulesResponse(items=items)
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def get_source_diagnostics(self) -> SourceDiagnosticsResponse:
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return SourceDiagnosticsResponse(**self.repository.get_source_diagnostics())
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monitoring_service = MonitoringService()
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