浅念
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
"""E0-lite 数据健康——「数据截至」角标 + 实体新鲜度。
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完整 E0(调度日志解析/成功率账本)二批;v1 用表新鲜度判定:
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msg_daily_stats 当日有行 = 4h 消息链路活着。
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"""
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from __future__ import annotations
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import datetime as dt
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import sqlalchemy as sa
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.db.models import (
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ChatGroup,
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Customer,
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Media,
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Message,
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MomentsPost,
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MsgDailyStats,
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PhoneCall,
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)
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async def data_as_of(session: AsyncSession) -> int | None:
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"""数据截至(ms-epoch)= MAX(msg_daily_stats.last_ts)。"""
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val = (
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await session.execute(sa.select(sa.func.max(MsgDailyStats.last_ts)))
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).scalar_one_or_none()
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return int(val) if val is not None else None
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async def entity_freshness(session: AsyncSession) -> list[dict]:
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"""各实体最后更新时间(UPDATED_AT 列 MAX;message 用 fetched_at)。"""
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async def _max(col) -> dt.datetime | None:
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return (await session.execute(sa.select(sa.func.max(col)))).scalar_one_or_none()
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out = []
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for name, col in (
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("customer", Customer.updated_at),
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("chat_group", ChatGroup.updated_at),
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("phone_call", PhoneCall.updated_at),
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("media", Media.updated_at),
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("moments_post", MomentsPost.updated_at),
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("message", Message.fetched_at),
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):
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out.append({"table": name, "last_seen": await _max(col)})
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return out
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