fix: 趋势改实时聚合+DailyStat自愈回写,摆脱cron依赖

Co-Authored-By: Claude Code <noreply@anthropic.com>
This commit is contained in:
浅念
2026-09-17 14:17:08 +08:00
parent 8f20d8d9a2
commit 35f7b55946
2 changed files with 96 additions and 31 deletions
+58 -19
View File
@@ -3,8 +3,9 @@
?range=today|7d|30d(默认 7d,非法值回落默认)+ ?site=(可选,缺省聚合全部站点)。
- 周期卡四指标全口径排除爬虫,与上一个等长周期比较出 delta_pct(today 比昨天);
上期值为 0 时 delta 为 null(前端显示 —)。
- 趋势为日粒度:历史位读 DailyStat 聚合(缺日补零),今天一位用 daily_counts 实时值
(聚合作业未跑也不缺当日)——与 refresh_daily 共享口径(Task8 审查结论)。
- 趋势为日粒度:窗口内 Event/VisitSession 按上海自然日实时聚合(缺日补零,今天一位
天然实时),不依赖定时聚合作业;口径与 refresh_daily/daily_counts 一致,且对有数据的
日顺手自愈回写 DailyStat(best-effort)——DailyStat 保留给历史归档消费者。
- channels 按窗口内会话入口分类聚合,pct = 占已分类会话比(列表含 direct/unknown,
总和 ≈ 1;未重算出分类行的历史会话不计入)。
- 最近访问不在本接口做:前端调既有 /api/admin/visitors?page=1 取前 5 行。
@@ -12,13 +13,13 @@
from datetime import datetime, time, timedelta
from django.db.models import Count, Sum
from django.db.models.functions import Trunc
from django.utils import timezone
from rest_framework.response import Response
from rest_framework.views import APIView
from tracker.api.envelope import EnvelopeMixin, ok
from tracker.models import DailyStat, Event, Site, SourceClassification, VisitSession, Visitor
from tracker.services.stats import daily_counts
RANGE_DAYS = {"today": 1, "7d": 7, "30d": 30}
CARD_KEYS = ("visitors", "visits", "avg_stay_ms", "returning")
@@ -97,25 +98,63 @@ class OverviewView(EnvelopeMixin, APIView):
return q.count()
def _trend(self, site, today, days):
"""窗口每日 [{date, uv, sessions}]:历史位读 DailyStat(缺日补零),
今天一位用 daily_counts 实时值覆盖——聚合作业未跑也不缺当日。"""
start = today - timedelta(days=days - 1)
qs = DailyStat.objects.filter(date__gte=start, date__lte=today)
"""窗口每日 [{date, uv, sessions}]:对窗口内 Event/VisitSession 按上海自然日
实时聚合(缺日补零,今天一位天然实时),不依赖定时聚合作业——DailyStat 为空
时历史位也是真实值。四指标口径与 daily_counts 一致;聚合出的按站按日数据顺手
自愈回写 DailyStat(best-effort,失败不影响响应;多站点按站拆行互不干扰),
DailyStat 保留给历史归档消费者。
性能:窗口 ≤30 天,走 (site,occurred_at)/(site,started_at) 索引的按日聚合,
当前量级毫秒级。"""
tz = timezone.get_current_timezone()
start = timezone.make_aware(
datetime.combine(today - timedelta(days=days - 1), time.min))
end = timezone.make_aware(
datetime.combine(today + timedelta(days=1), time.min))
ev = Event.objects.filter(is_bot=False,
occurred_at__gte=start, occurred_at__lt=end)
vs = VisitSession.objects.filter(visitor__is_bot=False,
started_at__gte=start, started_at__lt=end)
vis = Visitor.objects.filter(is_bot=False,
first_seen_at__gte=start, first_seen_at__lt=end)
if site is not None:
qs = qs.filter(site=site)
rows = {r["date"]: r for r in qs.values("date").annotate(
uv=Sum("uv"), sessions=Sum("sessions"))}
ev = ev.filter(site=site)
vs = vs.filter(site=site)
vis = vis.filter(site=site)
# 按站按日 Trunc 聚合(site=None 也拆站行:回写 DailyStat 需要站点维度;
# visitor/session 天然属单站,跨站求和 = 全局聚合值)
rows = {} # (site_id, date) -> {pv, uv, sessions, new_visitors},仅有数据的日
def _row(sid, day):
return rows.setdefault(
(sid, day), {"pv": 0, "uv": 0, "sessions": 0, "new_visitors": 0})
for r in (ev.annotate(day=Trunc("occurred_at", "day", tzinfo=tz))
.values("site", "day")
.annotate(pv=Count("id"), uv=Count("visitor", distinct=True))):
row = _row(r["site"], r["day"].date())
row["pv"], row["uv"] = r["pv"], r["uv"]
for r in (vs.annotate(day=Trunc("started_at", "day", tzinfo=tz))
.values("site", "day")
.annotate(n=Count("id"))):
_row(r["site"], r["day"].date())["sessions"] = r["n"]
for r in (vis.annotate(day=Trunc("first_seen_at", "day", tzinfo=tz))
.values("site", "day")
.annotate(n=Count("id"))):
_row(r["site"], r["day"].date())["new_visitors"] = r["n"]
# 自愈回写:仅窗口内有数据的日(空窗口不产生行),失败不影响趋势响应
for (sid, date), v in rows.items():
try:
DailyStat.objects.update_or_create(site_id=sid, date=date, defaults=v)
except Exception: # best-effort:回写失败不影响响应
pass
out = []
first = today - timedelta(days=days - 1)
for i in range(days):
date = start + timedelta(days=i)
if date == today:
counts = daily_counts(site, today)
out.append({"date": date.isoformat(),
"uv": counts["uv"], "sessions": counts["sessions"]})
else:
r = rows.get(date, {})
out.append({"date": date.isoformat(),
"uv": r.get("uv") or 0, "sessions": r.get("sessions") or 0})
date = first + timedelta(days=i)
day_rows = [v for (_, d), v in rows.items() if d == date]
out.append({"date": date.isoformat(),
"uv": sum(r["uv"] for r in day_rows),
"sessions": sum(r["sessions"] for r in day_rows)})
return out
def _channels(self, site, start, end):
+38 -12
View File
@@ -3,8 +3,7 @@ from datetime import timedelta
from django.contrib.auth import get_user_model
from django.utils import timezone
from rest_framework.test import APIClient
from tracker.models import Event, Site, SourceClassification, VisitSession, Visitor
from tracker.services.stats import refresh_daily
from tracker.models import DailyStat, Event, Site, SourceClassification, VisitSession, Visitor
pytestmark = pytest.mark.django_db
User = get_user_model()
@@ -103,11 +102,13 @@ def test_overview_7d_cards_and_deltas(client, member_user):
assert d["cards"]["returning"] == {"value": 1, "delta_pct": None} # 上期 0 → null
# 在线:v1/v2/v3 活跃(bot 排除、v4 十天前不在线)
assert d["header"] == {"online": 3, "active_now": 3} # active_now 兼容保留
# 趋势:7 点日粒度,历史无 DailyStat 补零,今天一位用实时值(uv=2、sessions=2,bot 排除)
# 趋势:7 点日粒度实时聚合,无数据的日补零——3 天前 v3 回访有真实值
# (uv=1、sessions=1,bot 排除),不依赖 DailyStat/聚合作业
trend = d["trend"]
assert len(trend) == 7
assert trend[0]["date"] == (TODAY - timedelta(days=6)).isoformat()
assert trend[-1] == {"date": TODAY.isoformat(), "uv": 2, "sessions": 2}
assert trend[-4] == {"date": (TODAY - timedelta(days=3)).isoformat(), "uv": 1, "sessions": 1}
assert trend[-2] == {"date": YESTERDAY.isoformat(), "uv": 0, "sessions": 0}
assert d["channels"] == [] # 无分类行 → 空列表
@@ -183,26 +184,52 @@ def test_overview_range_today(client, member_user):
assert len(d["trend"]) == 30
def test_overview_trend_uses_dailystat_history(client, member_user):
"""7d 趋势历史位读 DailyStat 聚合(跨站求和),今天位用实时值。"""
def test_overview_trend_realtime_and_selfheal(client, member_user):
"""趋势不依赖 DailyStat/聚合作业:昨天+今天的数据(不跑 refresh_daily)
两天都有真实值(昨天跨站求和);调用后 DailyStat 自愈出现对应行(update_or_create 幂等)。"""
_auth(client, member_user)
site_a = Site.objects.create(name="a", domains=["a.com"])
site_b = Site.objects.create(name="b", domains=["b.com"])
yn = NOW - timedelta(days=1) # 昨天同一本地时刻,必落上海昨日窗口
va = Visitor.objects.create(site=site_a, visitor_id="va")
va = _visitor(site_a, "va", last_seen=yn, first_seen=yn)
sa = _session(site_a, va, "sa", at=yn)
_events(site_a, va, sa, 3, "/", at=yn, prefix="ya")
refresh_daily(site_a, YESTERDAY)
vb = Visitor.objects.create(site=site_b, visitor_id="vb")
vb = _visitor(site_b, "vb", last_seen=yn, first_seen=yn)
sb = _session(site_b, vb, "sb", at=yn)
_events(site_b, vb, sb, 4, "/", at=yn, prefix="yb")
refresh_daily(site_b, YESTERDAY)
# 今天:site_b 一个新访客一条会话两条事件
vt = _visitor(site_b, "vt", last_seen=timezone.now())
st = _session(site_b, vt, "st")
_events(site_b, vt, st, 2, "/t", prefix="t")
assert DailyStat.objects.count() == 0 # 前置:聚合作业从未跑过
d = client.get("/api/admin/dashboard/overview").json()["data"]
trend = d["trend"]
assert len(trend) == 7
assert trend[-2] == {"date": YESTERDAY.isoformat(), "uv": 2, "sessions": 2} # 跨站求和
assert trend[-1] == {"date": TODAY.isoformat(), "uv": 0, "sessions": 0} # 今天无事件
assert trend[-1] == {"date": TODAY.isoformat(), "uv": 1, "sessions": 1}
# 自愈回写:按站按日出现三行,四指标口径与 daily_counts 一致
ra = DailyStat.objects.get(site=site_a, date=YESTERDAY)
assert (ra.pv, ra.uv, ra.sessions, ra.new_visitors) == (3, 1, 1, 1)
rb = DailyStat.objects.get(site=site_b, date=YESTERDAY)
assert (rb.pv, rb.uv, rb.sessions, rb.new_visitors) == (4, 1, 1, 1)
rt = DailyStat.objects.get(site=site_b, date=TODAY)
assert (rt.pv, rt.uv, rt.sessions, rt.new_visitors) == (2, 1, 1, 1)
assert DailyStat.objects.count() == 3
client.get("/api/admin/dashboard/overview") # 再调一次:update 不重复建行
assert DailyStat.objects.count() == 3
def test_overview_trend_empty_window_no_write(client, member_user):
"""空窗口:趋势为全零序列,且不写任何 DailyStat(自愈只写有数据的日)。"""
_auth(client, member_user)
Site.objects.create(name="s", domains=["a.com"])
d = client.get("/api/admin/dashboard/overview").json()["data"]
trend = d["trend"]
assert len(trend) == 7
assert trend[0]["date"] == (TODAY - timedelta(days=6)).isoformat()
assert all(p["uv"] == 0 and p["sessions"] == 0 for p in trend)
assert DailyStat.objects.count() == 0
def test_overview_site_filter_and_404(client, member_user):
@@ -217,10 +244,9 @@ def test_overview_site_filter_and_404(client, member_user):
_events(site_b, vb, sb, 5, "/b", prefix="b")
SourceClassification.objects.create(site=site_b, visitor=vb, session=sb,
scope="session_entry", channel="direct", resolution="unknown")
# a 站昨天有 DailyStat 行——过滤 site_b 时不得混入
# a 站昨天有数据(实时聚合)——过滤 site_b 时不得混入
yn = NOW - timedelta(days=1)
_events(site_a, va, sa, 3, "/", at=yn, prefix="ay")
refresh_daily(site_a, YESTERDAY)
d = client.get("/api/admin/dashboard/overview").json()["data"]
assert d["cards"]["visitors"]["value"] == 2 # 缺省聚合全部站点