浅念
92 lines
4.5 KiB
Python
92 lines
4.5 KiB
Python
"""A1 总览指标:卡片/首沟通口径/环比(仅周月)/异常警示。"""
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from __future__ import annotations
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from app.analytics import metrics
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from app.db.models import (
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MsgDailyStats,
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PhoneCall,
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StatDailyStaff,
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WechatAccount,
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)
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_TODAY = 20260904 # 测试统一用固定 day 键,monkeypatch today_key
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async def _seed(session):
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session.add(WechatAccount(wx_id="wx1", user_id="u1", user_name="张三"))
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# 昨日(20260903):u1 90 条;前 7 日均值(20260827-0902):每天 200 → 偏离 -55%>50% 触发
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# (阈值是严格 >0.5——正好 -50% 不触发,seed 用 90)
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for day, sent in [(20260827, 200), (20260828, 200), (20260829, 200),
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(20260830, 200), (20260831, 200), (20260901, 200),
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(20260902, 200), (20260903, 90)]:
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session.add(StatDailyStaff(day=day, channel="wechat", user_id="u1",
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msg_sent=sent, msg_recv=0,
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active_friends=5, active_rooms=1))
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# 当日 rollup 行(active_staff 卡片读 stat_daily_staff,必须有当日行)
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session.add(StatDailyStaff(day=20260904, channel="wechat", user_id="u1",
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msg_sent=15, msg_recv=7,
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active_friends=1, active_rooms=1))
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# 当日 + 首沟通:t1 当日首现(首沟通=1),t2 早在 20260827 就有(不算)
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session.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
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peer_kind="friend", peer_id="t1", day=20260904,
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send_cnt=10, recv_cnt=5, last_ts=1788500000000,
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last_is_send=True))
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session.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
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peer_kind="friend", peer_id="t2", day=20260827,
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send_cnt=3, recv_cnt=0, last_ts=1787800000000,
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last_is_send=True))
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session.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
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peer_kind="room", peer_id="r1", day=20260904,
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send_cnt=7, recv_cnt=0, last_ts=1788500000000,
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last_is_send=True))
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# 通话时间戳必须是 2026-09-04 当日(1756950000000 是 2025 年——坑)
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session.add(PhoneCall(call_id="c1", channel="voice_call",
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start_call_time=1788500000000, call_duration=60))
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await session.commit()
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async def test_overview_today(make_client, monkeypatch):
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monkeypatch.setattr(metrics, "today_key", lambda: _TODAY)
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async def seed(session):
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await _seed(session)
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out = await metrics.overview(session, channel="wechat", scope="today")
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assert out["cards"]["msg_total"] == 22 # (10+5)+(7+0)
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assert out["cards"]["active_customers"] == 1 # peer_kind=friend 去重,群不计
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assert out["cards"]["active_staff"] == 1
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assert out["cards"]["call_cnt"] == 1
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assert out["cards"]["first_contact"] == 1 # t1 全史 MIN(day)=今日;t2 不是
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assert out["cards"].get("mom_total_delta") is None # 今日无环比
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await make_client(seed)
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async def test_anomaly_yesterday_vs_prev7(make_client, monkeypatch):
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monkeypatch.setattr(metrics, "today_key", lambda: _TODAY)
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async def seed(session):
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await _seed(session)
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a = await metrics.anomaly(session, channel="wechat")
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assert a is not None
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assert a["total_delta_pct"] <= -0.5 # 90 vs 均值 200 = -55%(严格 >50% 触发)
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staff = {s["user_id"]: s for s in a["staff"]}
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assert staff["u1"]["yesterday"] == 90
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assert staff["u1"]["prev7_mean"] == 200.0
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await make_client(seed)
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async def test_overview_fallback_when_rollup_empty(make_client, monkeypatch):
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"""stat_daily_staff 空表 → 员工卡片回退实时聚合 msg_daily_stats(部署即用)。"""
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monkeypatch.setattr(metrics, "today_key", lambda: _TODAY)
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async def seed(session):
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session.add(WechatAccount(wx_id="wx1", user_id="u1"))
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session.add(MsgDailyStats(channel="wechat", owner_account_id="wx1",
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peer_kind="friend", peer_id="t1", day=20260904,
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send_cnt=2, recv_cnt=1, last_ts=1788500000000,
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last_is_send=True))
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await session.commit()
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out = await metrics.overview(session, channel="wechat", scope="today")
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assert out["cards"]["active_staff"] == 1
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assert out["cards"]["msg_total"] == 3
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await make_client(seed)
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