Files
shaguabijia-app-server/app/repositories/savings.py
T
OuYingJun1024 a4d214964a refactor: crud 并入 repositories + alembic 迁移文件去 hex 前缀
- 数据访问层统一: app/crud/{ad_reward,savings,signin,task,wallet}.py 移入
  app/repositories/(与 user.py 同目录),删除 crud/;更新 10 处 import
  (api/v1/* + scripts/* + repositories 内部交叉引用 app.crud→app.repositories)
- alembic/versions 9 个迁移文件去掉 hex 前缀,改成可读文件名(如
  welfare_tables_coin_account_coin_txn.py);**仅重命名文件**,文件内
  revision/down_revision 不动 → 迁移链与已迁移库的 alembic_version 不受影响
  (alembic heads/history 验证链完好,单一 head c8d9e0f1a2b3)
- 测试: 37 passed(1 个 coupon 代理失败为连不到 pricebot 上游的环境问题,与本次无关)

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-27 21:04:03 +08:00

187 lines
7.0 KiB
Python

"""省钱 CRUD:演示数据 seeder + 累计/战绩聚合 + 明细分页。
设计:聚合逻辑都是"生产级"真实计算(SUM、按日分组、连续天数),只是数据本期来自
demo seeder。等比价真接入后停掉 seeder、改成上报写入,这些聚合无需改。
聚合在 Python 里算(每用户记录量很小),避免 SQLite 跨时区 date 比较的坑——
created_at 带时区,统一转成北京时间的 date 再分组。
"""
from __future__ import annotations
import random
from dataclasses import dataclass
from datetime import datetime, timedelta
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from app.core.rewards import CN_TZ, cn_today
from app.models.savings import SavingsRecord
# 演示数据规模:最近 N 天每天 1 单(撑起"连续省钱"和"本周"),再补若干历史单
_DEMO_STREAK_DAYS = 9
_DEMO_EXTRA_ORDERS = 14
# 外卖订单演示模板:(平台, 店铺名, 菜品列表)。
# 平台只用有 logo 的三家(美团外卖/淘宝闪购/京东外卖),保证客户端 logo 命中;
# 菜品前 2 道直接展示,其余进「还有 N 道菜」展开。
_DEMO_ORDERS: list[tuple[str, str, list[str]]] = [
("美团外卖", "窑鸡王(王府井店)", ["招牌窑鸡(整只)", "凉拌黄瓜", "蒜蓉花甲", "紫菜蛋花汤"]),
("淘宝闪购", "海底捞外卖(2人餐)", ["川辣牛肉锅", "嫩牛肉", "海底捞自制饮料", "鸭血", "菌菇拼盘", "鲜虾滑", "麻辣牛百叶"]),
("京东外卖", "喜茶(国贸店)", ["多肉葡萄", "烤黑糖波波牛乳"]),
("美团外卖", "麦当劳(朝阳大悦城店)", ["巨无霸套餐", "麦麦脆汁鸡", "薯条(大)"]),
("淘宝闪购", "7-ELEVEn(建外SOHO店)", ["关东煮", "饭团", "北海道牛乳"]),
("美团外卖", "蜜雪冰城(三里屯店)", ["冰鲜柠檬水", "摩天脆脆筒"]),
("京东外卖", "西贝莜面村(凯德MALL店)", ["西贝莜面", "黄馍馍", "牛大骨", "沙棘汁"]),
("美团外卖", "瑞幸咖啡(CBD店)", ["生椰拿铁", "厚乳拿铁"]),
("淘宝闪购", "肯德基(西单店)", ["香辣鸡腿堡", "黄金鸡块", "可乐(中)"]),
("京东外卖", "星巴克(华贸店)", ["燕麦拿铁", "提拉米苏"]),
]
@dataclass
class SavingsSummary:
total_saved_cents: int
order_count: int
avg_saved_cents: int # 平均每单省(分)
@dataclass
class SavingsBattle:
week_saved_cents: int # 本周(周一起)已省
beat_percent: int # 超过百分之多少用户
streak_days: int # 连续省钱天数
def _local_date(dt: datetime):
"""把(可能带时区的)created_at 转成北京时间的 date。"""
if dt.tzinfo is None:
return dt.date()
return dt.astimezone(CN_TZ).date()
def _all_records(db: Session, user_id: int) -> list[SavingsRecord]:
stmt = select(SavingsRecord).where(SavingsRecord.user_id == user_id)
return list(db.execute(stmt).scalars().all())
def ensure_seeded(db: Session, user_id: int) -> None:
"""该用户没有任何省钱记录时,幂等灌一批 demo 数据。"""
exists = db.execute(
select(SavingsRecord.id).where(SavingsRecord.user_id == user_id).limit(1)
).first()
if exists is not None:
return
rng = random.Random(user_id) # 按 user_id 播种,保证同一用户每次结果一致
today = cn_today()
records: list[SavingsRecord] = []
def _mk(day) -> SavingsRecord:
hour = rng.randint(8, 21)
minute = rng.randint(0, 59)
ts = datetime(day.year, day.month, day.day, hour, minute, tzinfo=CN_TZ)
platform, shop, dishes = rng.choice(_DEMO_ORDERS)
# 三成订单设为"未省"(saved=0),对齐原型里有省/没省两种卡
saved = 0 if rng.random() < 0.3 else rng.randint(300, 4000) # 0 或 3~40 元
return SavingsRecord(
user_id=user_id,
order_amount_cents=rng.randint(1500, 12000), # 15~120 元(到手价)
saved_amount_cents=saved,
platform=platform,
title=shop,
shop_name=shop,
dishes=dishes,
source="demo",
created_at=ts,
)
# 最近 N 天每天 1 单 → 连续省钱 N 天
for d in range(_DEMO_STREAK_DAYS):
records.append(_mk(today - timedelta(days=d)))
# 历史散单(第 10~40 天)
for _ in range(_DEMO_EXTRA_ORDERS):
records.append(_mk(today - timedelta(days=rng.randint(10, 40))))
db.add_all(records)
db.commit()
def get_summary(db: Session, user_id: int) -> SavingsSummary:
ensure_seeded(db, user_id)
records = _all_records(db, user_id)
total = sum(r.saved_amount_cents for r in records)
count = len(records)
avg = total // count if count else 0
return SavingsSummary(total_saved_cents=total, order_count=count, avg_saved_cents=avg)
def _streak_days(dates: set) -> int:
"""从最近活跃日往前数连续有省钱记录的天数。"""
if not dates:
return 0
cur = max(dates)
streak = 0
while cur in dates:
streak += 1
cur = cur - timedelta(days=1)
return streak
def get_battle(db: Session, user_id: int) -> SavingsBattle:
ensure_seeded(db, user_id)
records = _all_records(db, user_id)
today = cn_today()
week_start = today - timedelta(days=today.weekday()) # 本周一
week_saved = sum(
r.saved_amount_cents for r in records if _local_date(r.created_at) >= week_start
)
dates = {_local_date(r.created_at) for r in records}
streak = _streak_days(dates)
beat_percent = _compute_beat_percent(db, user_id)
return SavingsBattle(
week_saved_cents=week_saved, beat_percent=beat_percent, streak_days=streak
)
def _compute_beat_percent(db: Session, user_id: int) -> int:
"""超过百分之多少用户:按"累计省下金额"在所有有省钱记录的用户中做真实分位。
= 严格少于我的其他用户数 / 其他用户总数 * 100。
全部省得比我少 → 100;只有自己一个用户 → 0(无可比)。
"""
rows = db.execute(
select(SavingsRecord.user_id, func.sum(SavingsRecord.saved_amount_cents))
.group_by(SavingsRecord.user_id)
).all()
totals = {uid: (total or 0) for uid, total in rows}
others = {uid: t for uid, t in totals.items() if uid != user_id}
if not others:
return 0
my_total = totals.get(user_id, 0)
beaten = sum(1 for t in others.values() if t < my_total)
return round(100 * beaten / len(others))
def list_records(
db: Session,
user_id: int,
*,
limit: int = 20,
cursor: int | None = None,
) -> tuple[list[SavingsRecord], int | None]:
"""省钱明细分页(按 id 倒序,游标式)。"""
ensure_seeded(db, user_id)
stmt = select(SavingsRecord).where(SavingsRecord.user_id == user_id)
if cursor is not None:
stmt = stmt.where(SavingsRecord.id < cursor)
stmt = stmt.order_by(SavingsRecord.id.desc()).limit(limit)
items = list(db.execute(stmt).scalars().all())
next_cursor = items[-1].id if len(items) == limit else None
return items, next_cursor