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Author SHA1 Message Date
guke 5871c02055 Merge branch 'main' into fix-bugfix0731 2026-08-01 23:23:14 +08:00
guke 14a9473323 Merge branch 'main' into fix-bugfix0731 2026-08-01 23:06:46 +08:00
exinglang 2a98e5147c fix(反馈): 优化图片处理与静态资源缓存 2026-07-31 22:31:45 +08:00
11 changed files with 19 additions and 678 deletions
-211
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@@ -1,211 +0,0 @@
"""correct DeepSeek V4 Flash token price and frozen historical costs
Revision ID: deepseek_v4_flash_price
Revises: comparison_below_min_success
"""
from __future__ import annotations
import json
from collections.abc import Sequence
from typing import Any
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
revision: str = "deepseek_v4_flash_price"
down_revision: str | Sequence[str] | None = "comparison_below_min_success"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
_CONFIG_KEY = "llm_token_price"
_MODEL = "deepseek-v4-flash"
_OLD_INPUT_PRICE = 3.0
_OLD_OUTPUT_PRICE = 15.0
_NEW_INPUT_PRICE = 1.0
_NEW_OUTPUT_PRICE = 2.0
_CORRECTION_MARKER = "deepseek_v4_flash_price"
_CONFIG_MARKER_KEY = "migration_deepseek_v4_flash_price"
def _decode_object(value: Any) -> dict[str, Any] | None:
if isinstance(value, dict):
return value
if isinstance(value, str):
try:
parsed = json.loads(value)
except (TypeError, ValueError):
return None
return parsed if isinstance(parsed, dict) else None
return None
def _model_tokens(calls: Any) -> tuple[int, int]:
if not isinstance(calls, list):
return 0, 0
input_tokens = 0
output_tokens = 0
for call in calls:
if not isinstance(call, dict) or call.get("error") or call.get("model") != _MODEL:
continue
usage = _decode_object(call.get("usage"))
if usage is None:
continue
input_tokens += int(usage.get("prompt_tokens") or 0)
output_tokens += int(usage.get("completion_tokens") or 0)
return input_tokens, output_tokens
def _app_config_table() -> sa.TableClause:
return sa.table(
"app_config",
sa.column("key", sa.String(64)),
sa.column("value", _JSON),
sa.column("updated_at", sa.DateTime(timezone=True)),
)
def _comparison_table() -> sa.TableClause:
return sa.table(
"comparison_record",
sa.column("id", sa.Integer),
sa.column("llm_calls", _JSON),
sa.column("llm_cost_yuan", sa.Float),
sa.column("llm_price_snapshot", _JSON),
)
def _update_config(conn, *, upgrade: bool) -> None:
table = _app_config_table()
row = conn.execute(
sa.select(table.c.value).where(table.c.key == _CONFIG_KEY)
).mappings().first()
if row is None or not isinstance(row["value"], dict):
return
config = dict(row["value"])
per_model = dict(config.get("per_model") or {})
current = per_model.get(_MODEL)
if upgrade:
# Preserve an operator's explicit model price. The production defect is specifically
# the missing key falling through to the generic 3/15 price.
if current is not None:
return
per_model[_MODEL] = {
"input_per_1m": _NEW_INPUT_PRICE,
"output_per_1m": _NEW_OUTPUT_PRICE,
}
conn.execute(table.insert().values(key=_CONFIG_MARKER_KEY, value=True))
else:
marker_exists = conn.execute(
sa.select(table.c.key).where(table.c.key == _CONFIG_MARKER_KEY)
).scalar_one_or_none()
if marker_exists is None:
return
if current != {
"input_per_1m": _NEW_INPUT_PRICE,
"output_per_1m": _NEW_OUTPUT_PRICE,
}:
conn.execute(table.delete().where(table.c.key == _CONFIG_MARKER_KEY))
return
per_model.pop(_MODEL, None)
conn.execute(table.delete().where(table.c.key == _CONFIG_MARKER_KEY))
config["per_model"] = per_model
conn.execute(
table.update()
.where(table.c.key == _CONFIG_KEY)
# 这是对历史误配置的追溯修正,不是从部署时刻开始的新价格。保留原 updated_at,
# 否则缺失成本回填会把部署前的记录全部排除。
.values(value=config)
)
def _correct_frozen_costs(conn, *, upgrade: bool) -> None:
table = _comparison_table()
rows = conn.execute(
sa.select(
table.c.id,
table.c.llm_calls,
table.c.llm_cost_yuan,
table.c.llm_price_snapshot,
).where(
table.c.llm_cost_yuan.is_not(None),
table.c.llm_price_snapshot.is_not(None),
)
).mappings()
for row in rows:
snapshot = row["llm_price_snapshot"]
if not isinstance(snapshot, dict):
continue
prices = snapshot.get("prices")
if not isinstance(prices, dict):
continue
model_price = prices.get(_MODEL)
if not isinstance(model_price, dict):
continue
if upgrade:
if not (
model_price.get("_source") == "default"
and model_price.get("input_per_1m") == _OLD_INPUT_PRICE
and model_price.get("output_per_1m") == _OLD_OUTPUT_PRICE
):
continue
elif snapshot.get("pricing_correction") != _CORRECTION_MARKER:
continue
input_tokens, output_tokens = _model_tokens(row["llm_calls"])
if input_tokens == 0 and output_tokens == 0:
continue
if upgrade:
delta = (
input_tokens / 1_000_000 * (_OLD_INPUT_PRICE - _NEW_INPUT_PRICE)
+ output_tokens / 1_000_000 * (_OLD_OUTPUT_PRICE - _NEW_OUTPUT_PRICE)
)
corrected_price = {
"input_per_1m": _NEW_INPUT_PRICE,
"output_per_1m": _NEW_OUTPUT_PRICE,
"_source": "per_model",
}
snapshot["pricing_correction"] = _CORRECTION_MARKER
new_cost = max(0.0, float(row["llm_cost_yuan"]) - delta)
else:
delta = (
input_tokens / 1_000_000 * (_OLD_INPUT_PRICE - _NEW_INPUT_PRICE)
+ output_tokens / 1_000_000 * (_OLD_OUTPUT_PRICE - _NEW_OUTPUT_PRICE)
)
corrected_price = {
"input_per_1m": _OLD_INPUT_PRICE,
"output_per_1m": _OLD_OUTPUT_PRICE,
"_source": "default",
}
snapshot.pop("pricing_correction", None)
new_cost = float(row["llm_cost_yuan"]) + delta
updated_prices = dict(prices)
updated_prices[_MODEL] = corrected_price
updated_snapshot = dict(snapshot)
updated_snapshot["prices"] = updated_prices
conn.execute(
table.update()
.where(table.c.id == row["id"])
.values(
llm_cost_yuan=round(new_cost, 6),
llm_price_snapshot=updated_snapshot,
)
)
def upgrade() -> None:
conn = op.get_bind()
_update_config(conn, upgrade=True)
_correct_frozen_costs(conn, upgrade=True)
def downgrade() -> None:
conn = op.get_bind()
_correct_frozen_costs(conn, upgrade=False)
_update_config(conn, upgrade=False)
+10 -29
View File
@@ -166,18 +166,6 @@ def _session_to_row(
point_stats: dict | 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)。"""
# 中途退出可能发生在第一张券产生终态之前,此时没有逐券事件。
# 明确返回 0/0,让前端区分「退出前无单券结果」与其它状态的埋点缺失。
if point_stats is not None:
point_success_count = point_stats["succeeded"]
point_total_count = point_stats["tried"]
elif r.status == "abandoned":
point_success_count = 0
point_total_count = 0
else:
point_success_count = None
point_total_count = None
point_event_count = point_stats["events"] if point_stats is not None else 0
return {
"id": r.id,
"trace_id": r.trace_id,
@@ -194,9 +182,8 @@ def _session_to_row(
"app_env": r.app_env,
"started_at": r.started_at,
"claimed_count": r.claimed_count,
"point_success_count": point_success_count,
"point_total_count": point_total_count,
"point_event_count": point_event_count,
"point_success_count": point_stats["succeeded"] if point_stats else None,
"point_total_count": point_stats["tried"] if point_stats else None,
"trace_url": r.trace_url,
"ad_revenue_yuan": ad_revenue_yuan,
}
@@ -207,24 +194,21 @@ def _point_scores_by_trace(db: Session, trace_ids: list[str]) -> dict[str, dict[
if not trace_ids:
return {}
succeeded = func.sum(case((CouponClaimEvent.status.in_(_SLOT_OK), 1), else_=0))
tried = func.sum(case((CouponClaimEvent.status.in_(_SLOT_TRIED), 1), else_=0))
rows = db.execute(
select(
CouponClaimEvent.trace_id,
succeeded.label("succeeded"),
tried.label("tried"),
func.count().label("events"),
func.count().label("tried"),
)
.where(
CouponClaimEvent.trace_id.in_(trace_ids),
CouponClaimEvent.status.in_(_SLOT_TRIED),
)
.where(CouponClaimEvent.trace_id.in_(trace_ids))
.group_by(CouponClaimEvent.trace_id)
).all()
return {
trace_id: {
"succeeded": int(success_count or 0),
"tried": int(tried_count or 0),
"events": int(event_count or 0),
}
for trace_id, success_count, tried_count, event_count in rows
trace_id: {"succeeded": int(success_count or 0), "tried": int(tried or 0)}
for trace_id, success_count, tried in rows
if trace_id is not None
}
@@ -416,15 +400,12 @@ def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
total = db.execute(
select(func.count()).select_from(CouponSession).where(CouponSession.user_id == user_id)
).scalar_one()
trace_ids = [r.trace_id for r in rows]
rev_map = crud_ecpm.revenue_yuan_by_trace(db, trace_ids)
point_stats_map = _point_scores_by_trace(db, trace_ids)
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),
point_stats=point_stats_map.get(r.trace_id),
)
for r in rows
],
+1 -9
View File
@@ -566,10 +566,6 @@ def dashboard_overview(
)
).all()
coupon_started = len(period_coupon_sessions)
coupon_abandoned = sum(s.status == "abandoned" for s in period_coupon_sessions)
# 用户主动中途退出不代表领券流程失败,不进入整场成功率样本。
# started / failed 仍留在分母:前者是尚未形成终态的流失,后者是实际执行失败。
coupon_success_denominator = coupon_started - coupon_abandoned
coupon_completed_elapsed = sorted(
s.elapsed_ms
for s in period_coupon_sessions
@@ -735,13 +731,9 @@ def dashboard_overview(
},
"coupon": {
"started": coupon_started,
"abandoned": coupon_abandoned,
"success_denominator": coupon_success_denominator,
"all_success": coupon_all_success,
"success_rate": (
round(coupon_all_success / coupon_success_denominator, 4)
if coupon_success_denominator
else None
round(coupon_all_success / coupon_started, 4) if coupon_started else None
),
"point_success": coupon_point_success,
"points_per_session": coupon_points_per_session,
+1 -2
View File
@@ -13,8 +13,7 @@ class AdminComparisonListItem(BaseModel):
model_config = ConfigDict(from_attributes=True)
id: int
# 软鉴权/匿名下帧0 建行时 user_id 可能暂缺(见 models.comparison 注释);admin 全看含孤儿行,故可空。
user_id: int | None = None
user_id: int
phone: str | None = None # join User 瞬态(非 DB 列)
nickname: str | None = None # join User 瞬态
business_type: str
+2 -8
View File
@@ -79,16 +79,10 @@ class CouponDataRow(BaseModel):
started_at: datetime = Field(..., description="发起时刻(明细「时间」列)")
claimed_count: int | None = None
point_success_count: int | None = Field(
None,
description="本次成功单券数(success+already_claimed);中途退出且无逐券结果为0,其它无事件为空",
None, description="本次成功单券数(success+already_claimed);无逐券事件为空"
)
point_total_count: int | None = Field(
None,
description="本次尝试单券数(success+already_claimed+failed,不含 skipped);中途退出且无逐券结果为0,其它无事件为空",
)
point_event_count: int = Field(
0,
description="本次全部逐券事件数(含 skipped);用于区分无有效计分事件与完全无事件",
None, description="本次尝试单券数(success+already_claimed+failed,不含 skipped);无逐券事件为空"
)
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(
-3
View File
@@ -70,9 +70,6 @@ class DashboardPeriodCoupon(BaseModel):
成功口径 success+already_claimed(与「我的」页累计领券一致)。"""
started: int = 0
# 用户主动中途退出,不计入整场成功率分母。
abandoned: int = 0
success_denominator: int = 0
# 全部领成功的次数:completed 且当日该设备全部点位成功
all_success: int = 0
success_rate: float | None = None
+1 -5
View File
@@ -227,11 +227,7 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
# 编辑框;set_value 不校验类型,嵌套 JSON 照存。
"llm_token_price": {
"default": {
"per_model": {
"qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0},
# DashScope 华北 2 公网调用原价;必须显式配置,不能落到 3/15 的未知模型兜底价。
"deepseek-v4-flash": {"input_per_1m": 1.0, "output_per_1m": 2.0},
},
"per_model": {"qwen3.5-flash": {"input_per_1m": 0.8, "output_per_1m": 2.0}},
"default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
"currency": "CNY", "unit": "per_1m_tokens",
},
+1 -112
View File
@@ -1,7 +1,7 @@
"""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 UTC, date, datetime
from datetime import UTC, datetime
import pytest
from fastapi.testclient import TestClient
@@ -12,7 +12,6 @@ from app.admin.repositories import admin_user as admin_repo
from app.admin.repositories import queries
from app.db.session import SessionLocal, engine
from app.models.comparison import ComparisonRecord
from app.models.coupon_state import CouponClaimRecord, CouponSession
from app.models.feedback import Feedback
from app.models.invite import InviteRelation
from app.models.savings import SavingsRecord
@@ -121,86 +120,6 @@ def test_dashboard_period_comparison_is_aggregated_by_backend(
assert comparison["token_cost_total_yuan"] == pytest.approx(1.0)
def test_dashboard_coupon_success_rate_excludes_abandoned_sessions(
admin_client: TestClient, admin_token: str
) -> None:
started_date = date(2038, 1, 16)
started_at = datetime(2038, 1, 16, 8, tzinfo=UTC)
sessions = [
("coupon-rate-completed-1", "coupon-rate-device-1", "completed"),
("coupon-rate-completed-2", "coupon-rate-device-2", "completed"),
("coupon-rate-failed", "coupon-rate-device-3", "failed"),
("coupon-rate-abandoned", "coupon-rate-device-4", "abandoned"),
]
db = SessionLocal()
try:
for trace_id, device_id, status in sessions:
db.add(
CouponSession(
trace_id=trace_id,
device_id=device_id,
status=status,
app_env="prod",
platforms=["meituan-waimai"],
started_at=started_at,
started_date=started_date,
)
)
for index, device_id in enumerate(("coupon-rate-device-1", "coupon-rate-device-2")):
db.add(
CouponClaimRecord(
device_id=device_id,
coupon_id=f"mt_dashboard_rate_{index}",
claim_date=started_date,
status="success",
app_env="prod",
)
)
db.commit()
finally:
db.close()
response = admin_client.get(
"/admin/api/stats/overview",
params={"date_from": "2038-01-16", "date_to": "2038-01-16"},
headers=_auth(admin_token),
)
assert response.status_code == 200, response.text
coupon = response.json()["period"]["coupon"]
assert coupon["started"] == 4
assert coupon["abandoned"] == 1
assert coupon["success_denominator"] == 3
assert coupon["all_success"] == 2
assert coupon["success_rate"] == pytest.approx(2 / 3, abs=0.0001)
db = SessionLocal()
try:
db.add(
CouponSession(
trace_id="coupon-rate-only-abandoned",
device_id="coupon-rate-device-only-abandoned",
status="abandoned",
app_env="prod",
platforms=["meituan-waimai"],
started_at=datetime(2038, 1, 17, 8, tzinfo=UTC),
started_date=date(2038, 1, 17),
)
)
db.commit()
finally:
db.close()
empty_denominator_response = admin_client.get(
"/admin/api/stats/overview",
params={"date_from": "2038-01-17", "date_to": "2038-01-17"},
headers=_auth(admin_token),
)
assert empty_denominator_response.status_code == 200
only_abandoned = empty_denominator_response.json()["period"]["coupon"]
assert only_abandoned["success_denominator"] == 0
assert only_abandoned["success_rate"] is None
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))
@@ -842,36 +761,6 @@ def test_comparison_records_show_readable_device_and_rom_version(
assert detail.json()["platforms"][0]["is_best"] is True
def test_comparison_records_list_tolerates_orphan_null_user(
admin_client: TestClient, admin_token: str
) -> None:
"""帧0 建行但 user_id 暂缺的孤儿记录(软鉴权/匿名),admin 列表必须能序列化、不 500。"""
db = SessionLocal()
try:
db.add(
ComparisonRecord(
user_id=None,
trace_id="comparison-orphan-null-user",
status="success",
store_name="孤儿比价专用店ZZZ",
)
)
db.commit()
finally:
db.close()
response = admin_client.get(
"/admin/api/comparison-records",
params={"store": "孤儿比价专用店ZZZ"},
headers=_auth(admin_token),
)
assert response.status_code == 200, response.text
items = response.json()["items"]
assert len(items) == 1
assert items[0]["user_id"] is None
assert items[0]["trace_id"] == "comparison-orphan-null-user"
def test_comparison_records_show_real_order_status(
admin_client: TestClient, admin_token: str
) -> None:
+3 -111
View File
@@ -10,7 +10,6 @@ from app.admin.repositories.coupon_data import (
_point_scores_by_trace,
coupon_data_report,
coupon_point_details,
coupon_user_records,
)
from app.admin.security import create_admin_token
from app.db.session import SessionLocal
@@ -39,7 +38,6 @@ def test_point_scores_by_trace() -> None:
stats = _point_scores_by_trace(db, [trace])[trace]
assert stats["succeeded"] == 2
assert stats["tried"] == 3
assert stats["events"] == 4
details = coupon_point_details(db, trace_id=trace)
assert [item["status"] for item in details] == [
"success", "already_claimed", "failed", "skipped"
@@ -50,8 +48,8 @@ def test_point_scores_by_trace() -> None:
db.close()
def test_skipped_detail_is_distinguished_from_no_events() -> None:
"""仅有 skipped 时分数仍为0/0,但保留事件数供前端开放明细"""
def test_skipped_detail_does_not_create_a_score() -> None:
"""仅有 skipped 时按需明细仍可查到,但列表没有虚假的 0/0 分数"""
db = SessionLocal()
trace = "point-score-skipped"
try:
@@ -65,7 +63,7 @@ def test_skipped_detail_is_distinguished_from_no_events() -> None:
db.flush()
scores = _point_scores_by_trace(db, [trace, "missing-trace"])
assert scores[trace] == {"succeeded": 0, "tried": 0, "events": 1}
assert trace not in scores
assert "missing-trace" not in scores
assert coupon_point_details(db, trace_id=trace)[0]["status"] == "skipped"
finally:
@@ -116,112 +114,6 @@ def test_coupon_data_report_returns_scores_without_embedding_details() -> None:
db.close()
def test_coupon_data_report_marks_abandoned_without_point_results() -> None:
"""中途退出且没有逐券终态时返回0/0,其他状态缺埋点仍保持为空。"""
db = SessionLocal()
report_date = date(2020, 1, 6)
user_id = 910006
try:
db.add_all([
CouponSession(
trace_id="point-score-abandoned-without-result",
device_id="score-abandoned-device",
user_id=user_id,
status="abandoned",
app_env="prod",
platforms=["meituan-waimai"],
started_at=datetime(2020, 1, 6, tzinfo=UTC),
started_date=report_date,
),
CouponSession(
trace_id="point-score-completed-without-result",
device_id="score-completed-device",
user_id=user_id,
status="completed",
app_env="prod",
platforms=["meituan-waimai"],
started_at=datetime(2020, 1, 6, 1, tzinfo=UTC),
started_date=report_date,
),
CouponSession(
trace_id="point-score-abandoned-with-result",
device_id="score-abandoned-result-device",
user_id=user_id,
status="abandoned",
app_env="prod",
platforms=["meituan-waimai"],
started_at=datetime(2020, 1, 6, 2, tzinfo=UTC),
started_date=report_date,
),
CouponSession(
trace_id="point-score-abandoned-skipped-only",
device_id="score-abandoned-skipped-device",
user_id=user_id,
status="abandoned",
app_env="prod",
platforms=["meituan-waimai"],
started_at=datetime(2020, 1, 6, 3, tzinfo=UTC),
started_date=report_date,
),
])
db.add_all([
CouponClaimEvent(
trace_id="point-score-abandoned-with-result",
device_id="score-abandoned-result-device",
coupon_id=f"mt-abandoned-{status}",
claim_date=report_date,
status=status,
)
for status in ("success", "failed")
])
db.add(CouponClaimEvent(
trace_id="point-score-abandoned-skipped-only",
device_id="score-abandoned-skipped-device",
coupon_id="mt-abandoned-skipped",
claim_date=report_date,
status="skipped",
))
db.flush()
report = coupon_data_report(
db,
date_from=report_date.isoformat(),
date_to=report_date.isoformat(),
app_env="prod",
)
rows = {item["trace_id"]: item for item in report["items"]}
abandoned = rows["point-score-abandoned-without-result"]
assert abandoned["point_success_count"] == 0
assert abandoned["point_total_count"] == 0
assert abandoned["point_event_count"] == 0
abandoned_with_result = rows["point-score-abandoned-with-result"]
assert abandoned_with_result["point_success_count"] == 1
assert abandoned_with_result["point_total_count"] == 2
assert abandoned_with_result["point_event_count"] == 2
abandoned_skipped = rows["point-score-abandoned-skipped-only"]
assert abandoned_skipped["point_success_count"] == 0
assert abandoned_skipped["point_total_count"] == 0
assert abandoned_skipped["point_event_count"] == 1
completed = rows["point-score-completed-without-result"]
assert completed["point_success_count"] is None
assert completed["point_total_count"] is None
user_rows = {
item["trace_id"]: item
for item in coupon_user_records(db, user_id=user_id)["items"]
}
assert user_rows["point-score-abandoned-without-result"]["point_total_count"] == 0
assert user_rows["point-score-abandoned-with-result"]["point_total_count"] == 2
assert user_rows["point-score-abandoned-skipped-only"]["point_event_count"] == 1
assert user_rows["point-score-completed-without-result"]["point_total_count"] is None
finally:
db.rollback()
db.close()
def test_coupon_point_details_endpoint() -> None:
"""前端点击使用的接口按约定返回 trace_id 和逐券 items。"""
db = SessionLocal()
-184
View File
@@ -1,184 +0,0 @@
from __future__ import annotations
import importlib.util
from datetime import datetime
from pathlib import Path
import sqlalchemy as sa
def _load_migration():
path = (
Path(__file__).parents[1]
/ "alembic"
/ "versions"
/ "deepseek_v4_flash_price.py"
)
spec = importlib.util.spec_from_file_location("deepseek_v4_flash_price", path)
assert spec is not None and spec.loader is not None
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
def test_migration_follows_comparison_status_normalization():
migration = _load_migration()
assert migration.down_revision == "comparison_below_min_success"
def test_migration_adds_price_and_corrects_only_mispriced_snapshot(monkeypatch):
migration = _load_migration()
engine = sa.create_engine("sqlite://")
metadata = sa.MetaData()
app_config = sa.Table(
"app_config",
metadata,
sa.Column("key", sa.String(64), primary_key=True),
sa.Column("value", sa.JSON, nullable=False),
sa.Column("updated_at", sa.DateTime),
)
comparison = sa.Table(
"comparison_record",
metadata,
sa.Column("id", sa.Integer, primary_key=True),
sa.Column("llm_calls", sa.JSON),
sa.Column("llm_cost_yuan", sa.Float),
sa.Column("llm_price_snapshot", sa.JSON),
)
metadata.create_all(engine)
calls = [
{
"model": "deepseek-v4-flash",
"error": None,
"usage": {"prompt_tokens": 12031, "completion_tokens": 125},
},
{
"model": "qwen3.5-flash",
"error": None,
"usage": {"prompt_tokens": 2416, "completion_tokens": 119},
},
]
snapshot = {
"mode": "per_model",
"prices": {
"deepseek-v4-flash": {
"input_per_1m": 3.0,
"output_per_1m": 15.0,
"_source": "default",
},
"qwen3.5-flash": {
"input_per_1m": 0.2,
"output_per_1m": 2.0,
"_source": "per_model",
},
},
}
with engine.begin() as conn:
original_updated_at = datetime(2026, 7, 13, 18, 20, 10)
conn.execute(
app_config.insert().values(
key="llm_token_price",
value={
"per_model": {
"qwen3.5-flash": {
"input_per_1m": 0.2,
"output_per_1m": 2.0,
}
},
"default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
},
updated_at=original_updated_at,
)
)
conn.execute(
comparison.insert().values(
id=1,
llm_calls=calls,
llm_cost_yuan=0.038689,
llm_price_snapshot=snapshot,
)
)
monkeypatch.setattr(migration.op, "get_bind", lambda: conn)
migration.upgrade()
config = conn.execute(
sa.select(app_config.c.value).where(
app_config.c.key == "llm_token_price"
)
).scalar_one()
assert config["per_model"]["deepseek-v4-flash"] == {
"input_per_1m": 1.0,
"output_per_1m": 2.0,
}
assert conn.execute(
sa.select(app_config.c.updated_at).where(
app_config.c.key == "llm_token_price"
)
).scalar_one() == original_updated_at
corrected = conn.execute(sa.select(comparison)).mappings().one()
assert corrected["llm_cost_yuan"] == 0.013002
assert corrected["llm_price_snapshot"]["prices"]["deepseek-v4-flash"] == {
"input_per_1m": 1.0,
"output_per_1m": 2.0,
"_source": "per_model",
}
assert corrected["llm_price_snapshot"]["pricing_correction"] == (
"deepseek_v4_flash_price"
)
migration.downgrade()
reverted_config = conn.execute(
sa.select(app_config.c.value).where(
app_config.c.key == "llm_token_price"
)
).scalar_one()
assert "deepseek-v4-flash" not in reverted_config["per_model"]
reverted = conn.execute(sa.select(comparison)).mappings().one()
assert reverted["llm_cost_yuan"] == 0.038689
assert "pricing_correction" not in reverted["llm_price_snapshot"]
def test_downgrade_preserves_price_that_existed_before_upgrade(monkeypatch):
migration = _load_migration()
engine = sa.create_engine("sqlite://")
metadata = sa.MetaData()
app_config = sa.Table(
"app_config",
metadata,
sa.Column("key", sa.String(64), primary_key=True),
sa.Column("value", sa.JSON, nullable=False),
sa.Column("updated_at", sa.DateTime),
)
sa.Table(
"comparison_record",
metadata,
sa.Column("id", sa.Integer, primary_key=True),
sa.Column("llm_calls", sa.JSON),
sa.Column("llm_cost_yuan", sa.Float),
sa.Column("llm_price_snapshot", sa.JSON),
)
metadata.create_all(engine)
explicit_price = {"input_per_1m": 1.0, "output_per_1m": 2.0}
with engine.begin() as conn:
conn.execute(
app_config.insert().values(
key="llm_token_price",
value={
"per_model": {"deepseek-v4-flash": explicit_price},
"default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
},
)
)
monkeypatch.setattr(migration.op, "get_bind", lambda: conn)
migration.upgrade()
migration.downgrade()
config = conn.execute(sa.select(app_config.c.value)).scalar_one()
assert config["per_model"]["deepseek-v4-flash"] == explicit_price
-4
View File
@@ -108,10 +108,6 @@ def test_get_llm_prices_falls_back_to_default_then_uses_override():
# 无 override → CONFIG_DEFS 默认(含 per_model / default)
prices = get_llm_prices(db)
assert "per_model" in prices and "default" in prices
assert prices["per_model"]["deepseek-v4-flash"] == {
"input_per_1m": 1.0,
"output_per_1m": 2.0,
}
# 有 override → 用 DB 值
app_config.set_value(
db, "llm_token_price",