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Author SHA1 Message Date
linkeyu 57731f2e8d fix(admin): 区分领券广告收益未填充与零收益 (#148)
## 修改内容
- 无 eCPM 填充记录时,领券数据接口返回 null
- 已填充但收益为 0 时保留 0.0
- 补充未填充与零收益的回归测试

## 验证
- 后端定向测试:7 passed
- Ruff 检查通过
- 线上近 30 天 740 条领券记录中,647 条无对应 eCPM 填充记录

---------

Co-authored-by: unknown <798648091@qq.com>
Reviewed-on: #148
Co-authored-by: linkeyu <linkeyu@wonderable.ai>
Co-committed-by: linkeyu <linkeyu@wonderable.ai>
2026-07-21 10:18:34 +08:00
unknown 5cd1c63d8d feat(admin): aggregate dashboard comparison metrics 2026-07-20 20:02:58 +08:00
6 changed files with 194 additions and 15 deletions
+8 -3
View File
@@ -86,7 +86,12 @@ def _success_rates(rows: list) -> dict:
}
def _session_to_row(r, phone: str | None = None, nickname: str | None = None, ad_revenue_yuan: float = 0.0) -> dict:
def _session_to_row(
r,
phone: str | None = None,
nickname: str | None = None,
ad_revenue_yuan: float | None = None,
) -> dict:
"""CouponSession ORM → 明细行 dict(主表「领券数据」与「用户全部领券」抽屉共用)。"""
return {
"id": r.id,
@@ -252,7 +257,7 @@ def coupon_data_report(
items = []
for r in page:
phone, nickname = user_map.get(r.user_id, (None, None)) if r.user_id is not None else (None, None)
items.append(_session_to_row(r, phone, nickname, ad_revenue_yuan=rev_map.get(r.trace_id, 0.0)))
items.append(_session_to_row(r, phone, nickname, ad_revenue_yuan=rev_map.get(r.trace_id)))
return {
"summary": summary,
@@ -276,7 +281,7 @@ def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
).scalar_one()
rev_map = crud_ecpm.revenue_yuan_by_trace(db, [r.trace_id for r in rows])
return {
"items": [_session_to_row(r, ad_revenue_yuan=rev_map.get(r.trace_id, 0.0)) for r in rows],
"items": [_session_to_row(r, ad_revenue_yuan=rev_map.get(r.trace_id)) for r in rows],
"total": int(total),
}
+102 -9
View File
@@ -7,7 +7,7 @@ from __future__ import annotations
from collections import Counter
from datetime import date, datetime, time, timedelta, timezone
from decimal import Decimal, InvalidOperation
from decimal import ROUND_HALF_UP, Decimal, InvalidOperation
from sqlalchemy import case, func, select
from sqlalchemy.orm import Session
@@ -109,6 +109,23 @@ def _date_range(date_from: date, date_to: date) -> list[date]:
return [date_from + timedelta(days=i) for i in range(days + 1)]
def _duration_percentile(sorted_values: list[int], q: float) -> int | None:
"""Linear-interpolated percentile with the same half-up rounding as Math.round."""
if not sorted_values:
return None
if len(sorted_values) == 1:
return sorted_values[0]
index = (len(sorted_values) - 1) * q
lower = int(index)
upper = min(lower + 1, len(sorted_values) - 1)
fraction = Decimal(str(index - lower))
value = (
Decimal(sorted_values[lower]) * (Decimal(1) - fraction)
+ Decimal(sorted_values[upper]) * fraction
)
return int(value.quantize(Decimal("1"), rounding=ROUND_HALF_UP))
def _id_set(db: Session, stmt) -> set[int]:
return {int(v) for v in db.execute(stmt).scalars().all() if v is not None}
@@ -242,16 +259,46 @@ def dashboard_overview(
ComparisonRecord.created_at >= start_local,
ComparisonRecord.created_at < end_local,
)
period_comparison_total = _count(ComparisonRecord, *period_comparison_conds)
period_comparison_success = _count(
ComparisonRecord,
*period_comparison_conds,
ComparisonRecord.status == "success",
period_comparison_stats = db.execute(
select(
func.count(ComparisonRecord.id),
func.coalesce(
func.sum(
case(
(ComparisonRecord.status.in_(("success", "failed")), 1),
else_=0,
)
),
0,
),
func.coalesce(
func.sum(
case((ComparisonRecord.status == "cancelled", 1), else_=0)
),
0,
),
func.coalesce(
func.sum(case((ComparisonRecord.status == "success", 1), else_=0)),
0,
),
func.coalesce(func.sum(ComparisonRecord.llm_cost_yuan), 0.0),
).where(*period_comparison_conds)
).one()
period_comparison_total = int(period_comparison_stats[0])
period_comparison_completed = int(period_comparison_stats[1])
period_comparison_cancelled = int(period_comparison_stats[2])
period_comparison_success = int(period_comparison_stats[3])
period_comparison_token_cost_yuan = float(period_comparison_stats[4])
period_comparison_success_denominator = (
period_comparison_total - period_comparison_cancelled
)
period_comparison_success_rate = (
round(period_comparison_success / period_comparison_total, 4)
if period_comparison_total
else 0.0
round(
period_comparison_success / period_comparison_success_denominator,
4,
)
if period_comparison_success_denominator > 0
else None
)
period_saved_positive_count = _count(
ComparisonRecord,
@@ -282,6 +329,47 @@ def dashboard_overview(
if period_avg_duration_ms is not None
else None
)
completed_duration_conds = (
*period_comparison_conds,
ComparisonRecord.status.in_(("success", "failed")),
ComparisonRecord.total_ms.is_not(None),
)
if db.bind is not None and db.bind.dialect.name == "postgresql":
period_median_duration_ms, period_p95_duration_ms = db.execute(
select(
func.percentile_cont(0.5).within_group(ComparisonRecord.total_ms),
func.percentile_cont(0.95).within_group(ComparisonRecord.total_ms),
).where(*completed_duration_conds)
).one()
period_median_duration_ms = (
int(
Decimal(str(period_median_duration_ms)).quantize(
Decimal("1"), rounding=ROUND_HALF_UP
)
)
if period_median_duration_ms is not None
else None
)
period_p95_duration_ms = (
int(
Decimal(str(period_p95_duration_ms)).quantize(
Decimal("1"), rounding=ROUND_HALF_UP
)
)
if period_p95_duration_ms is not None
else None
)
else:
# SQLite 测试环境没有 percentile_cont;仅回退读取耗时单列,不加载完整记录。
completed_durations = list(
db.execute(
select(ComparisonRecord.total_ms)
.where(*completed_duration_conds)
.order_by(ComparisonRecord.total_ms)
).scalars()
)
period_median_duration_ms = _duration_percentile(completed_durations, 0.5)
period_p95_duration_ms = _duration_percentile(completed_durations, 0.95)
ordered_exists = (
select(SavingsRecord.id)
@@ -622,11 +710,16 @@ def dashboard_overview(
},
"comparison": {
"total": period_comparison_total,
"completed": period_comparison_completed,
"cancelled": period_comparison_cancelled,
"success": period_comparison_success,
"success_rate": period_comparison_success_rate,
"ordered": period_ordered_count,
"average_duration_ms": period_avg_duration_ms,
"median_duration_ms": period_median_duration_ms,
"p95_duration_ms": period_p95_duration_ms,
"average_saved_cents": period_avg_saved_cents,
"token_cost_total_yuan": period_comparison_token_cost_yuan,
},
"coupon": {
"started": coupon_started,
+3 -2
View File
@@ -70,8 +70,9 @@ class CouponDataRow(BaseModel):
started_at: datetime = Field(..., description="发起时刻(明细「时间」列)")
claimed_count: int | None = None
trace_url: str | None = Field(None, description="pricebot 公网 trace 链接(仅 completed 有);admin 渲染可点链接,无则显示可复制 trace_id")
ad_revenue_yuan: float = Field(
0.0, description="本次领券看的信息流广告预估收益(元);按 trace_id 聚合 ad_ecpm_record"
ad_revenue_yuan: float | None = Field(
None,
description="本次领券看的信息流广告预估收益(元);按 trace_id 聚合 ad_ecpm_record;无填充记录为 null",
)
+6 -1
View File
@@ -53,11 +53,16 @@ class DashboardPeriodUsers(BaseModel):
class DashboardPeriodComparison(BaseModel):
total: int
completed: int
cancelled: int
success: int
success_rate: float
success_rate: float | None = None
ordered: int
average_duration_ms: int | None = None
median_duration_ms: int | None = None
p95_duration_ms: int | None = None
average_saved_cents: int | None = None
token_cost_total_yuan: float = 0.0
class DashboardPeriodCoupon(BaseModel):
+46
View File
@@ -1,12 +1,15 @@
"""Admin M2 读接口测试:大盘聚合 + 用户/流水/提现/反馈列表 + 鉴权拦截。"""
from __future__ import annotations
from datetime import datetime
import pytest
from fastapi.testclient import TestClient
from app.admin.main import admin_app
from app.admin.repositories import admin_user as admin_repo
from app.db.session import SessionLocal
from app.models.comparison import ComparisonRecord
from app.models.feedback import Feedback
from app.models.wallet import CashTransaction, WithdrawOrder
from app.repositories import user as user_repo
@@ -69,6 +72,49 @@ def test_dashboard_overview(admin_client: TestClient, admin_token: str) -> None:
assert "jd_order_count" in data["cps"]
def test_dashboard_period_comparison_is_aggregated_by_backend(
admin_client: TestClient, admin_token: str
) -> None:
created_at = datetime(2037, 1, 15, 12)
rows = [
("dashboard-aggregate-success", "success", 101, 0.1),
("dashboard-aggregate-failed", "failed", 200, 0.2),
("dashboard-aggregate-cancelled", "cancelled", 300, 0.3),
("dashboard-aggregate-running", "running", 400, 0.4),
]
db = SessionLocal()
try:
for trace_id, status, total_ms, llm_cost_yuan in rows:
db.add(
ComparisonRecord(
trace_id=trace_id,
status=status,
total_ms=total_ms,
llm_cost_yuan=llm_cost_yuan,
created_at=created_at,
)
)
db.commit()
finally:
db.close()
response = admin_client.get(
"/admin/api/stats/overview",
params={"date_from": "2037-01-15", "date_to": "2037-01-15"},
headers=_auth(admin_token),
)
assert response.status_code == 200, response.text
comparison = response.json()["period"]["comparison"]
assert comparison["total"] == 4
assert comparison["completed"] == 2
assert comparison["cancelled"] == 1
assert comparison["success"] == 1
assert comparison["success_rate"] == 0.3333
assert comparison["median_duration_ms"] == 151
assert comparison["p95_duration_ms"] == 195
assert comparison["token_cost_total_yuan"] == pytest.approx(1.0)
def test_user_list_and_detail(admin_client: TestClient, admin_token: str) -> None:
uid = _seed_user_with_data("13800000002")
r = admin_client.get("/admin/api/users", headers=_auth(admin_token))
+29
View File
@@ -43,6 +43,35 @@ def test_coupon_data_report_includes_ad_revenue() -> None:
db.close()
def test_coupon_data_report_distinguishes_unfilled_from_zero_revenue() -> None:
"""无 eCPM 记录返回 None;已填充但 eCPM=0 返回 0.0。"""
db = SessionLocal()
try:
db.add_all([
CouponSession(
trace_id="rev-cp-unfilled", device_id="d-unfilled", status="completed", app_env="prod",
platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
started_at=datetime(2020, 1, 3, tzinfo=UTC), started_date=date(2020, 1, 3),
),
CouponSession(
trace_id="rev-cp-zero", device_id="d-zero", status="completed", app_env="prod",
platforms=["meituan-waimai"], platform_success=["meituan-waimai"],
started_at=datetime(2020, 1, 3, tzinfo=UTC), started_date=date(2020, 1, 3),
),
_ecpm("rev-cp-zero", "0", "cp-sess-zero", "coupon"),
])
db.flush()
res = coupon_data_report(db, date_from="2020-01-03", date_to="2020-01-03", app_env="prod")
rows = {row["trace_id"]: row for row in res["items"]}
assert rows["rev-cp-unfilled"]["ad_revenue_yuan"] is None
assert rows["rev-cp-zero"]["ad_revenue_yuan"] == 0.0
finally:
db.rollback()
db.close()
def test_comparison_list_includes_ad_revenue() -> None:
"""比价记录列表项带本次广告收益;200 分 → 0.002 元。