0b0dd0808b
Co-Authored-By: Claude Code <noreply@anthropic.com>
165 lines
6.0 KiB
Python
165 lines
6.0 KiB
Python
"""first_reply_fact 维护层(管理域,批次A)——跨日精确串算法。
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区别于 app.storage.summary._thread_stats 的日切近似(v2 §1.1 #1):
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按会话**全历史**计算,跨夜串(客户 23:00 → 员工次日 9:00 回)不再丢失。
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**不挂写钩子**(v2 §3.1):由回填 CLI / 4h 滚动 / 夜间全量重算,写钩子
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零改动。只处理 1:1(friend)会话——群串语义不成立。
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compute_conversation 同时输出每日串聚合(threads/answered/fr_sum_ms,
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按串末条归属日)——employee_metric_daily 的串类列与 fact 行**同源**
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(回复率分子分母一致,v2 §1.1 #5)。
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"""
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from __future__ import annotations
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import logging
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from collections import namedtuple
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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 FirstReplyFact, Message, MsgDailyStats
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from app.storage.summary import day_key
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logger = logging.getLogger(__name__)
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# 一个被回串的首响样本;day = 串末条客户消息所在上海自然日
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FactSample = namedtuple("FactSample", "thread_end_ts reply_ts fr_ms day")
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# 某会话某日的串聚合(分子分母同源)
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DayAgg = namedtuple("DayAgg", "threads answered fr_sum_ms")
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class _DayAcc:
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__slots__ = ("answered", "fr_sum_ms", "threads")
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def __init__(self) -> None:
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self.threads = 0
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self.answered = 0
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self.fr_sum_ms = 0
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def compute_conversation(rows: list) -> tuple[list[FactSample], dict[int, DayAgg]]:
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"""跨日精确串算法。rows = [(ts, is_send)] 该会话全历史,**须按 ts 升序**。
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- 串 = 客户连续消息(is_send=False)不被员工消息(is_send=True)打断的
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段;is_send=None 跳过(不打断也不起串)——与 _thread_stats 判定一致。
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- 每个被回串一个样本:fr_ms = 员工首条回复 ts − 串**末条**客户消息 ts,
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归属 day = 串末条所在上海自然日(跨夜串不再丢失)。
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- 会话末尾仍未闭合的串:计入当日 threads(回复率分母),不产生样本。
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"""
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facts: list[FactSample] = []
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acc: dict[int, _DayAcc] = {}
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in_thread = False
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end_ts: int | None = None
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for ts, is_send in rows:
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if is_send is False:
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in_thread = True
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end_ts = int(ts)
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elif is_send is True:
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if in_thread and end_ts is not None:
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fr = int(ts) - end_ts
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d = day_key(end_ts)
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facts.append(FactSample(end_ts, int(ts), fr, d))
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a = acc.setdefault(d, _DayAcc())
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a.threads += 1
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a.answered += 1
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a.fr_sum_ms += fr
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in_thread = False
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end_ts = None
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# is_send=None:跳过
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if in_thread and end_ts is not None: # 会话末尾未闭合串
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a = acc.setdefault(day_key(end_ts), _DayAcc())
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a.threads += 1
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return facts, {d: DayAgg(a.threads, a.answered, a.fr_sum_ms)
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for d, a in acc.items()}
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async def load_conversation(
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session: AsyncSession, channel: str, owner: str, peer: str
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) -> list:
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"""拉取该 1:1 会话全历史 (timestamp, is_send),Python 侧排序(串算法
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需严格时序——与 summary.recompute_days 同惯例,避免依赖 SQL 排序)。
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公有命名:employee_metrics 宽表生成复用同一加载口径(同源原则)。"""
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rows = (
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await session.execute(
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sa.select(Message.timestamp, Message.is_send).where(
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Message.channel == channel,
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Message.owner_account_id == owner,
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Message.talker_id == peer,
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sa.or_(Message.room_id.is_(None), Message.room_id == ""),
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Message.timestamp.is_not(None),
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)
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)
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).all()
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return sorted(rows, key=lambda r: r[0])
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async def recompute_pairs(
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session: AsyncSession, pairs: list[tuple[str, str, str]]
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) -> int:
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"""重算给定 friend 会话的 fact 行:按会话 delete+insert,幂等。
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pairs = [(channel, owner_account_id, peer_id)]。返回会话数。
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"""
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for channel, owner, peer in sorted(pairs):
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rows = await load_conversation(session, channel, owner, peer)
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facts, _agg = compute_conversation(rows)
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await session.execute(
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sa.delete(FirstReplyFact).where(
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FirstReplyFact.channel == channel,
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FirstReplyFact.owner_account_id == owner,
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FirstReplyFact.peer_id == peer,
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)
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)
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for f in facts:
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session.add(
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FirstReplyFact(
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channel=channel,
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owner_account_id=owner,
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peer_id=peer,
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thread_end_ts=f.thread_end_ts,
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reply_ts=f.reply_ts,
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day=f.day,
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fr_ms=f.fr_ms,
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)
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)
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return len(pairs)
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async def all_friend_pairs(session: AsyncSession) -> list[tuple[str, str, str]]:
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"""全部 1:1 会话(friend 行 distinct)——全量回填用。"""
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rows = (
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await session.execute(
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sa.select(
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MsgDailyStats.channel,
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MsgDailyStats.owner_account_id,
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MsgDailyStats.peer_id,
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).where(MsgDailyStats.peer_kind == "friend")
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)
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).all()
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return sorted({(r[0], r[1], r[2]) for r in rows})
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async def pairs_active_in_days(
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session: AsyncSession, days
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) -> list[tuple[str, str, str]]:
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"""窗口内有消息的 friend 会话(4h 滚动重算用;批次F 接调度)。"""
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rows = (
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await session.execute(
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sa.select(
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MsgDailyStats.channel,
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MsgDailyStats.owner_account_id,
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MsgDailyStats.peer_id,
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).where(
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MsgDailyStats.peer_kind == "friend",
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MsgDailyStats.day.in_(list(days)),
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)
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)
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).all()
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return sorted({(r[0], r[1], r[2]) for r in rows})
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async def recompute_all(session: AsyncSession) -> int:
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"""全量重建(回填/夜间自愈,幂等)。"""
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return await recompute_pairs(session, await all_friend_pairs(session))
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