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Author SHA1 Message Date
zzhyyyyy f6e5ce2f6e chore(deploy): 穿山甲收益拉取 systemd 定时器(每天10:30)+ 运维手册
#92 的 scripts/sync_pangle_revenue.py 补 systemd 部署单元,让穿山甲 GroMore T+1 后台收益每天自动拉取入库,免人工敲命令。纯部署/文档文件,不改运行时代码。

- service:oneshot,跑 `--days 3` 回补近 3 天(幂等 upsert,扛偶发漏跑与穿山甲历史订正);10min 硬超时;加固块对齐主服务。
- timer:每天 10:30 触发(穿山甲约 10:00 出数留余量),Persistent 宕机后补跑。
- md:运维手册——上线前置(.env 填 PANGLE_REPORT_* 凭证、子账号需授权否则接口 118)、部署/健康检查/参数/注意事项(join key 用 ad_unit_id 非 code_id 等)。
- 风格对齐现有 deploy/daily-exchange.* 与 deploy/meituan-etl.*。

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-30 22:41:13 +08:00
267 changed files with 951 additions and 13035 deletions
+1 -1
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@@ -29,7 +29,7 @@ JG_REQUEST_TIMEOUT_SEC=15
# ===== 无障碍保护存活监控(pull 后置检测;本期不接推送)=====
HEARTBEAT_MONITOR_ENABLED=true
HEARTBEAT_TIMEOUT_MINUTES=60
HEARTBEAT_TIMEOUT_MINUTES=10
HEARTBEAT_SCAN_INTERVAL_SEC=60
# ===== 短信 (mock 模式) =====
-9
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@@ -48,12 +48,3 @@ secrets/*
# 运行日志(run.sh 输出, 不入库)
*.log
logs/
# Claude Code 自动持久化的权限 allowlist / 个人本地设置(会话专属,不入库)。
# 需要团队共享的 Claude 配置(commands/ 等)可单独 git add -f,不受此忽略影响。
.claude/settings.json
.claude/settings.local.json
tests/meituan_coupon_bj.tsv
tests/meituan_coupon_data.tsv
tests/meituan_coupon_fz.tsv
tests/meituan_coupon_xm.tsv
@@ -1,72 +0,0 @@
"""analytics_selfstat tables
Revision ID: 11c44afbea58
Revises: admin_user_plain_password
Create Date: 2026-07-08 16:32:49.351817
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = '11c44afbea58'
down_revision: str | Sequence[str] | None = 'admin_user_plain_password'
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
op.create_table(
'analytics_selfstat',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('device_id', sa.String(length=64), nullable=False),
sa.Column('epoch_id', sa.String(length=64), nullable=False),
sa.Column('app_ver', sa.String(length=32), nullable=True),
sa.Column('oem', sa.String(length=32), nullable=True),
sa.Column('os', sa.String(length=32), nullable=True),
sa.Column('batches_attempted', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('batches_ok', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('batches_fail', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('retries', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('queue_depth', sa.Integer(), nullable=False, server_default='0'),
sa.Column('sent_at', sa.BigInteger(), nullable=True),
sa.Column('created_at', sa.DateTime(timezone=True),
server_default=sa.text('(CURRENT_TIMESTAMP)'), nullable=False),
sa.PrimaryKeyConstraint('id'),
)
with op.batch_alter_table('analytics_selfstat', schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_analytics_selfstat_created_at'), ['created_at'], unique=False)
batch_op.create_index(batch_op.f('ix_analytics_selfstat_device_id'), ['device_id'], unique=False)
batch_op.create_index(batch_op.f('ix_analytics_selfstat_epoch_id'), ['epoch_id'], unique=False)
op.create_table(
'analytics_selfstat_event',
sa.Column('id', sa.Integer(), autoincrement=True, nullable=False),
sa.Column('snapshot_id', sa.Integer(), nullable=False),
sa.Column('event', sa.String(length=64), nullable=False),
sa.Column('attempted', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('drop_capture', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('delivered', sa.BigInteger(), nullable=False, server_default='0'),
sa.Column('drop_undelivered', sa.BigInteger(), nullable=False, server_default='0'),
sa.ForeignKeyConstraint(['snapshot_id'], ['analytics_selfstat.id'], ),
sa.PrimaryKeyConstraint('id'),
)
with op.batch_alter_table('analytics_selfstat_event', schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_analytics_selfstat_event_event'), ['event'], unique=False)
batch_op.create_index(batch_op.f('ix_analytics_selfstat_event_snapshot_id'), ['snapshot_id'], unique=False)
def downgrade() -> None:
with op.batch_alter_table('analytics_selfstat_event', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_analytics_selfstat_event_snapshot_id'))
batch_op.drop_index(batch_op.f('ix_analytics_selfstat_event_event'))
op.drop_table('analytics_selfstat_event')
with op.batch_alter_table('analytics_selfstat', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_analytics_selfstat_epoch_id'))
batch_op.drop_index(batch_op.f('ix_analytics_selfstat_device_id'))
batch_op.drop_index(batch_op.f('ix_analytics_selfstat_created_at'))
op.drop_table('analytics_selfstat')
@@ -1,26 +0,0 @@
"""merge jd_cps_order_fields and coupon_session_origin_package heads
Revision ID: 761ef181ce7c
Revises: coupon_session_origin_package, jd_cps_order_fields
Create Date: 2026-07-01 13:52:16.068808
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = '761ef181ce7c'
down_revision: Union[str, Sequence[str], None] = ('coupon_session_origin_package', 'jd_cps_order_fields')
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
pass
def downgrade() -> None:
pass
-44
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@@ -1,44 +0,0 @@
"""ad_ecpm_record.trace_id(展示收益归属到比价/领券 trace)
信息流(Draw)展示 eCPM 上报时带上本场比价/领券 trace_id,落此列;领券数据 / 比价记录看板
按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端为 NULL。
本迁移原以 (11c44afbea58, merge_pages_override_coupon_slot) 为双亲、顺带收敛双 head,
但与它并行落 main 的 merge_selfstat_coupon_slot 已用同一对双亲做了纯收敛 → 同一对
父节点出现两个收敛点、main 上又成双 head。故重挂到该 merge 之后成单链(仅改链接、
schema 改动不变;两文件都保留,已 stamp 在 merge 上的库可直接线性升级)。
Revision ID: ad_ecpm_trace_id
Revises: merge_selfstat_coupon_slot
Create Date: 2026-07-10
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
revision: str = "ad_ecpm_trace_id"
down_revision: Union[str, Sequence[str], None] = "merge_selfstat_coupon_slot"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
# SQLite 下 ADD COLUMN(可空)与 CREATE INDEX 均原生支持,无需 batch_alter_table
# (同 ad_feed_reward_trace_id 迁移)。
op.add_column(
"ad_ecpm_record",
sa.Column("trace_id", sa.String(length=64), nullable=True),
)
op.create_index(
op.f("ix_ad_ecpm_record_trace_id"),
"ad_ecpm_record",
["trace_id"],
unique=False,
)
def downgrade() -> None:
op.drop_index(op.f("ix_ad_ecpm_record_trace_id"), table_name="ad_ecpm_record")
op.drop_column("ad_ecpm_record", "trace_id")
-69
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@@ -1,69 +0,0 @@
"""admin_role 表(RBAC 角色 → 可见页面)+ 种子内建角色
新增后台 RBAC:角色持有一组页面 key,登录后左侧只展示这些页。super_admin 内建全权(pages 存空、
effective_pages 特判为全部)、不可编辑删除;operator/finance 播默认页集,可由 super_admin 增删改。
admin_user.role 弱引用本表 name。全新环境顺序应用即得三条内建角色。
Revision ID: admin_role_table
Revises: comparison_product_names
Create Date: 2026-07-04 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
revision: str = "admin_role_table"
down_revision: str | Sequence[str] | None = "comparison_product_names"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
# 与 app/admin/permissions.py 的 BUILTIN_ROLES 同口径(迁移内联一份,不耦合 app 常量)。
# 页集对齐 Prototypes/dashboard/permissions.md 的 ROLES。key 承重(require_role),label 为展示名。
_BUILTIN = [
{"name": "super_admin", "label": "管理员", "pages": [], "is_builtin": True},
{"name": "operator", "label": "运营", "pages": [
"dashboard", "coupon-data", "ad-revenue-report", "comparison-records",
"cps", "device-liveness", "price-reports", "feedbacks",
], "is_builtin": False},
{"name": "finance", "label": "财务", "pages": [
"dashboard", "ad-revenue-report", "cps", "withdraws",
], "is_builtin": False},
{"name": "tech", "label": "技术", "pages": [
"dashboard", "device-liveness", "config", "ad-revenue", "event-logs", "audit-logs",
], "is_builtin": False},
]
def upgrade() -> None:
op.create_table(
"admin_role",
sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
sa.Column("name", sa.String(length=32), nullable=False),
sa.Column("label", sa.String(length=32), nullable=False, server_default=""),
sa.Column("pages", _JSON, nullable=False),
sa.Column("is_builtin", sa.Boolean(), nullable=False, server_default=sa.false()),
sa.Column(
"created_at", sa.DateTime(timezone=True),
server_default=sa.func.now(), nullable=False,
),
)
op.create_index("ix_admin_role_name", "admin_role", ["name"], unique=True)
tbl = sa.table(
"admin_role",
sa.column("name", sa.String),
sa.column("label", sa.String),
sa.column("pages", _JSON),
sa.column("is_builtin", sa.Boolean),
)
op.bulk_insert(tbl, _BUILTIN)
def downgrade() -> None:
op.drop_index("ix_admin_role_name", table_name="admin_role")
op.drop_table("admin_role")
@@ -1,35 +0,0 @@
"""admin_user 加 pages_override 列(「自定义」权限:按人存专属可见页 key 列表)
权限管理页新增「自定义」角色:选它时该成员的可见页不跟随任何共享角色,而由逐页勾选决定,
存这个人专属的一份页 key 列表。仅 role == "custom" 时有效;普通角色为 None(可见页跟随角色)。
PG 用 JSONB,SQLite 退化为通用 JSON(同 admin_audit_log.detail / comparison_record.raw_payload)。
Revision ID: admin_user_pages_override
Revises: admin_user_plain_password
Create Date: 2026-07-08 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from sqlalchemy.dialects.postgresql import JSONB
from alembic import op
revision: str = "admin_user_pages_override"
down_revision: str | Sequence[str] | None = "admin_user_plain_password"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
# 与 app/models/admin.py 的 _JSON 一致:PG JSONB / 其它 JSON
_JSON = sa.JSON().with_variant(JSONB(), "postgresql")
def upgrade() -> None:
with op.batch_alter_table("admin_user", schema=None) as batch_op:
batch_op.add_column(sa.Column("pages_override", _JSON, nullable=True))
def downgrade() -> None:
with op.batch_alter_table("admin_user", schema=None) as batch_op:
batch_op.drop_column("pages_override")
@@ -1,29 +0,0 @@
"""admin_user 加 plain_password 列(明文登录密码,仅后台 UI 建/重置的账号留存)
权限管理页需能复看某成员已确定的登录密码转交本人。系统只存哈希无法反推,故对「后台 UI 创建/重置」
的管理员额外留存一份明文;脚本/起后台建的超管为 None(前端不显示密码)。旧账号无此列值 → 同样不显示。
Revision ID: admin_user_plain_password
Revises: admin_role_table
Create Date: 2026-07-04 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
revision: str = "admin_user_plain_password"
down_revision: str | Sequence[str] | None = "admin_role_table"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
with op.batch_alter_table("admin_user", schema=None) as batch_op:
batch_op.add_column(sa.Column("plain_password", sa.String(length=128), nullable=True))
def downgrade() -> None:
with op.batch_alter_table("admin_user", schema=None) as batch_op:
batch_op.drop_column("plain_password")
-33
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@@ -1,33 +0,0 @@
"""comparison_record: llm_cost_yuan + llm_price_snapshot(比价 LLM 调用成本 + 当时单价快照)
回填 llm_calls 时按「当时的价」逐模型算出本次比价 LLM 总成本(元),连同所用单价快照一起冻结到
记录上;admin 比价记录详情展示实际成本(旧记录 NULL → 前端回退估算)。见 services/llm_cost.py。
Revision ID: comparison_llm_cost
Revises: ad_ecpm_trace_id
Create Date: 2026-07-13
"""
from collections.abc import Sequence
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
revision: str = "comparison_llm_cost"
down_revision: str | Sequence[str] | None = "ad_ecpm_trace_id"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
_JSONB = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
def upgrade() -> None:
# 均可空、无索引;SQLite 原生支持 ADD COLUMN,无需 batch_alter_table(同 comparison_debug_fields)。
op.add_column("comparison_record", sa.Column("llm_cost_yuan", sa.Float(), nullable=True))
op.add_column("comparison_record", sa.Column("llm_price_snapshot", _JSONB, nullable=True))
def downgrade() -> None:
op.drop_column("comparison_record", "llm_price_snapshot")
op.drop_column("comparison_record", "llm_cost_yuan")
@@ -1,70 +0,0 @@
"""comparison_record 加 product_names 列(下单商品名派生串)+ 回填历史行
admin 比价记录页要把原「店/商品」一列拆成「店」+「商品」两列、并支持按商品名搜索。
items 是 JSON(SQLite 下 json.dumps ensure_ascii 会把中文转义存成 \\uXXXX,无法直接 CAST+LIKE
命中中文),故把商品名派生成普通文本列,跨库 LIKE 一致、可索引。
写路径(upsert_record / harvest_done)已同步派生;本迁移建列并从已存 items 回填历史行。
全新环境顺序应用即得空列 + 回填(表本为空,回填 no-op)。
Revision ID: comparison_product_names
Revises: comparison_record_trace_unique
Create Date: 2026-07-04 00:00:00.000000
"""
import json
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
revision: str = "comparison_product_names"
down_revision: str | Sequence[str] | None = "comparison_record_trace_unique"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def _product_names(items) -> str | None:
"""items([{name,...}]) → 顿号分隔的商品名串(去重保序)。与 repositories.comparison
._product_names_from_items 同口径,迁移内联一份避免耦合 app 代码。"""
if isinstance(items, str): # SQLite: items 以 JSON 文本存,取回是 str
try:
items = json.loads(items)
except (ValueError, TypeError):
return None
if not isinstance(items, list) or not items:
return None
names: list[str] = []
for it in items:
name = it.get("name") if isinstance(it, dict) else None
if not name:
continue
s = str(name).strip()
if s and s not in names:
names.append(s)
joined = "".join(names)
return joined[:500] or None
def upgrade() -> None:
with op.batch_alter_table("comparison_record", schema=None) as batch_op:
batch_op.add_column(sa.Column("product_names", sa.String(length=512), nullable=True))
# 回填:从已存 items 派生商品名。items 小(菜名列表),一次取回即可;只更新有商品名的行。
bind = op.get_bind()
rows = bind.execute(
sa.text("SELECT id, items FROM comparison_record")
).fetchall()
for rid, items in rows:
pn = _product_names(items)
if pn:
bind.execute(
sa.text("UPDATE comparison_record SET product_names = :pn WHERE id = :id"),
{"pn": pn, "id": rid},
)
def downgrade() -> None:
with op.batch_alter_table("comparison_record", schema=None) as batch_op:
batch_op.drop_column("product_names")
@@ -1,49 +0,0 @@
"""comparison_record: 唯一键 (user_id,trace_id) → trace_id 单列 + user_id 可空
Revision ID: comparison_record_trace_unique
Revises: feedback_type_reply
Create Date: 2026-07-03 12:00:00.000000
比价记录改「后端 harvest」:app-server 在帧0(pricebot 出 trace_id)即建行,随 done/finalize
逐步补全,客户端不再 POST 记录。故本表要两处调整:
1. user_id 改**可空**——harvest 建行那刻(软鉴权 / 老客户端匿名)可能还没有 user_id。
2. 唯一键 (user_id, trace_id) → **trace_id 单列**——trace_id 由 app-server 签发、全局唯一,
一次比价一行;harvest 建行时 user_id 还没有,不能再用复合键去重。
⚠️ 上线前(QA)务必确认 comparison_record 无重复 trace_id:旧复合唯一键**允许**同 trace_id
跨不同 user_id(实际上客户端 UUID 从不重复,但约束没拦),若真有重复,建 trace 单列唯一会失败。
查: SELECT trace_id, COUNT(*) c FROM comparison_record GROUP BY trace_id HAVING c > 1;
SQLite 不支持直接 drop/alter 约束/列,用 batch_alter_table(建临时表+拷数据+换名),
与 coupon_engage_per_package / store_mapping_* 同款;Postgres 直接执行原生 ALTER。
"""
from typing import Sequence, Union
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision: str = 'comparison_record_trace_unique'
down_revision: Union[str, Sequence[str], None] = 'feedback_type_reply'
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
with op.batch_alter_table('comparison_record', schema=None) as batch_op:
# harvest 帧0 建行时 user_id 可能暂缺 → 放开非空。
batch_op.alter_column('user_id', existing_type=sa.Integer(), nullable=True)
# 复合唯一 → trace_id 单列唯一。
batch_op.drop_constraint('uq_comparison_user_trace', type_='unique')
batch_op.create_unique_constraint('uq_comparison_trace', ['trace_id'])
def downgrade() -> None:
with op.batch_alter_table('comparison_record', schema=None) as batch_op:
batch_op.drop_constraint('uq_comparison_trace', type_='unique')
batch_op.create_unique_constraint(
'uq_comparison_user_trace', ['user_id', 'trace_id']
)
# 回退非空前提是当时无 null user_id 行(harvest 期可能有孤儿行,回滚需先清理)。
batch_op.alter_column('user_id', existing_type=sa.Integer(), nullable=False)
-32
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@@ -1,32 +0,0 @@
"""coupon_claim_record 加 app_env 列(领券所属 session 环境;每券成功率表按它过滤 prod/dev)
Revision ID: coupon_claim_app_env
Revises: coupon_session_platform_success
Create Date: 2026-07-08 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
revision: str = "coupon_claim_app_env"
down_revision: str | Sequence[str] | None = "coupon_session_platform_success"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
with op.batch_alter_table("coupon_claim_record", schema=None) as batch_op:
batch_op.add_column(sa.Column("app_env", sa.String(length=16), nullable=True))
batch_op.create_index(
"ix_coupon_claim_record_app_env", ["app_env"], unique=False
)
def downgrade() -> None:
with op.batch_alter_table("coupon_claim_record", schema=None) as batch_op:
batch_op.drop_index("ix_coupon_claim_record_app_env")
batch_op.drop_column("app_env")
@@ -1,32 +0,0 @@
"""coupon_session 加 origin_package 列(发起来源 App 包名 → admin「发起平台」)
null=App 内(傻瓜比价首页)发起,非空=从美团/淘宝/京东弹券发起。与 trace_url 同理单独成迁移,
已建表环境靠它补列、全新环境顺序应用,不重复加列。
Revision ID: coupon_session_origin_package
Revises: coupon_session_trace_url
Create Date: 2026-06-30 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "coupon_session_origin_package"
down_revision: str | Sequence[str] | None = "coupon_session_trace_url"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.add_column(sa.Column("origin_package", sa.String(length=64), nullable=True))
def downgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.drop_column("origin_package")
@@ -1,37 +0,0 @@
"""coupon_session 加 platform_success 列(本次至少领到一张的平台 id 列表)
供 admin「领券数据」算 ②整单成功率 / ③点位成功率(平台粒度)。数据落点:服务端 /step 逐帧
按 trace_id 并集写入(见 app/repositories/coupon_state.merge_session_platform_success)。旧行 NULL
视作空集,已建表环境靠它补列、全新环境顺序应用不重复加列。设计:docs/guides/领券成功率指标-设计与埋点.md。
Revision ID: coupon_session_platform_success
Revises: admin_user_plain_password
Create Date: 2026-07-07 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "coupon_session_platform_success"
down_revision: str | Sequence[str] | None = "admin_user_plain_password"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
# PG 用 JSONB,SQLite(本地/测试)退化为通用 JSON(同 model 的 _JSON variant / 建表迁移)。
_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
def upgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.add_column(sa.Column("platform_success", _JSON, nullable=True))
def downgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.drop_column("platform_success")
-81
View File
@@ -1,81 +0,0 @@
"""coupon session table(领券任务全程流水 → admin「领券数据」看板数据源)
一次领券一行(trace_id 唯一):客户端 POST /api/v1/coupon/session 两段上报 —— 发起建行
(status=started)、收尾(completed/failed/abandoned)按 trace_id 更新同一行。记全程耗时
elapsed_ms + 各平台耗时 platform_elapsed + 机型/ROM,供 admin 算发起/完成数、耗时分位、机型维度。
Revision ID: coupon_session_table
Revises: feedback_submit_env
Create Date: 2026-06-30 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "coupon_session_table"
down_revision: str | Sequence[str] | None = "feedback_submit_env"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
# PG 用 JSONB,SQLite(本地/测试)退化为通用 JSON(同 model 的 _JSON variant)。
_JSON = sa.JSON().with_variant(postgresql.JSONB(), "postgresql")
def upgrade() -> None:
op.create_table(
"coupon_session",
sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
sa.Column("trace_id", sa.String(length=64), nullable=False),
sa.Column("device_id", sa.String(length=64), nullable=False),
sa.Column("user_id", sa.Integer(), nullable=True),
sa.Column("status", sa.String(length=16), nullable=False),
sa.Column("app_env", sa.String(length=16), nullable=True),
sa.Column("platforms", _JSON, nullable=True),
sa.Column("device_model", sa.String(length=128), nullable=True),
sa.Column("rom", sa.String(length=64), nullable=True),
sa.Column("started_at", sa.DateTime(timezone=True), nullable=False),
sa.Column("started_date", sa.Date(), nullable=False),
sa.Column("finished_at", sa.DateTime(timezone=True), nullable=True),
sa.Column("elapsed_ms", sa.Integer(), nullable=True),
sa.Column("platform_elapsed", _JSON, nullable=True),
sa.Column("claimed_count", sa.Integer(), nullable=True),
sa.Column(
"created_at",
sa.DateTime(timezone=True),
server_default=sa.text("(CURRENT_TIMESTAMP)"),
nullable=False,
),
sa.Column(
"updated_at",
sa.DateTime(timezone=True),
server_default=sa.text("(CURRENT_TIMESTAMP)"),
nullable=False,
),
sa.PrimaryKeyConstraint("id"),
sa.UniqueConstraint("trace_id", name="uq_coupon_session_trace"),
)
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.create_index(
batch_op.f("ix_coupon_session_user_id"), ["user_id"], unique=False
)
batch_op.create_index(
batch_op.f("ix_coupon_session_app_env"), ["app_env"], unique=False
)
# admin 主聚合/筛选:按上海自然日 + 环境。
batch_op.create_index(
"ix_coupon_session_date_env", ["started_date", "app_env"], unique=False
)
def downgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.drop_index("ix_coupon_session_date_env")
batch_op.drop_index(batch_op.f("ix_coupon_session_app_env"))
batch_op.drop_index(batch_op.f("ix_coupon_session_user_id"))
op.drop_table("coupon_session")
@@ -1,32 +0,0 @@
"""coupon_session 加 trace_url 列(pricebot done 帧公网调试链接)
建表迁移 coupon_session_table 落地后才追加本列,故单独成一个迁移:已建表的环境(本地/已 upgrade 过)
靠它补列,全新环境则「建表(无 trace_url)→ 本迁移加列」,两条路一致、不重复加列。
Revision ID: coupon_session_trace_url
Revises: coupon_session_table
Create Date: 2026-06-30 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "coupon_session_trace_url"
down_revision: str | Sequence[str] | None = "coupon_session_table"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.add_column(sa.Column("trace_url", sa.String(length=512), nullable=True))
def downgrade() -> None:
with op.batch_alter_table("coupon_session", schema=None) as batch_op:
batch_op.drop_column("trace_url")
-48
View File
@@ -1,48 +0,0 @@
"""feedback 加反馈来源/场景/运营回复(source / scene / admin_reply)
admin「用户反馈」页要展示并筛选「反馈类型」(比价反馈 / 普通反馈),并支持审核时给用户留言:
- source: 反馈来源入口(profile=「我的」页 / comparison=比价结果页)。NOT NULL,
旧数据 + 普通反馈默认 profile(server_default)。加索引供 admin 按类型筛选。
- scene: 比价反馈的问题场景(找错商品/优惠不对…),普通反馈为 NULL。
- admin_reply: 运营给用户的回复留言(用户端可见),随「我的反馈」历史下发。
均为新增列(SQLite 原生支持 add_column);downgrade 的 drop_column 在 SQLite 走 batch 兜底。
Revision ID: feedback_type_reply
Revises: 761ef181ce7c
Create Date: 2026-07-02 00:00:00.000000
"""
from collections.abc import Sequence
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision: str = "feedback_type_reply"
down_revision: str | Sequence[str] | None = "761ef181ce7c"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
op.add_column(
"feedback",
sa.Column(
"source",
sa.String(length=16),
nullable=False,
server_default="profile",
),
)
op.add_column("feedback", sa.Column("scene", sa.String(length=32), nullable=True))
op.add_column("feedback", sa.Column("admin_reply", sa.String(length=256), nullable=True))
op.create_index("ix_feedback_source", "feedback", ["source"])
def downgrade() -> None:
with op.batch_alter_table("feedback") as batch_op:
batch_op.drop_index("ix_feedback_source")
batch_op.drop_column("admin_reply")
batch_op.drop_column("scene")
batch_op.drop_column("source")
@@ -1,28 +0,0 @@
"""合并两个 alembic head:admin_user_pages_override(#126 权限)+ coupon_claim_app_env(领券成功率)。
两条迁移都从 admin_user_plain_password 分叉——#126 经 pull main 进入本分支,领券成功率为本分支新增——
于是出现两个 head。本迁移仅把二者收敛成单 head,让 `alembic upgrade head`(单数,部署/run.sh 用)
恢复正常;**不含任何表结构 / 数据改动**(纯 merge)。
Revision ID: merge_pages_override_coupon_slot
Revises: admin_user_pages_override, coupon_claim_app_env
Create Date: 2026-07-09 00:00:00.000000
"""
from collections.abc import Sequence
revision: str = "merge_pages_override_coupon_slot"
down_revision: str | Sequence[str] | None = (
"admin_user_pages_override",
"coupon_claim_app_env",
)
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
"""纯合并 head,无 schema 改动。"""
def downgrade() -> None:
"""拆回两个 head,无 schema 改动。"""
@@ -1,29 +0,0 @@
"""合并两个 alembic head:11c44afbea58(#127 埋点健康度 selfstat)+ merge_pages_override_coupon_slot(#130 自带的合并迁移)。
三条分支都从 admin_user_plain_password 分叉(#126 权限 / #127 selfstat / #130 领券成功率)。
#130 自带的 merge 创建时本地 main 尚无 #127 的 11c44afbea58,只收敛了 #126 + 自身两条,
#130 合入后 main 上仍留两个 head → `alembic upgrade head`(单数,部署/run.sh 用)直接报错、服务起不来。
本迁移仅把二者收敛成单 head;**不含任何表结构 / 数据改动**(纯 merge)。
Revision ID: merge_selfstat_coupon_slot
Revises: 11c44afbea58, merge_pages_override_coupon_slot
Create Date: 2026-07-10 00:00:00.000000
"""
from collections.abc import Sequence
revision: str = "merge_selfstat_coupon_slot"
down_revision: str | Sequence[str] | None = (
"11c44afbea58",
"merge_pages_override_coupon_slot",
)
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
def upgrade() -> None:
"""纯合并 head,无 schema 改动。"""
def downgrade() -> None:
"""拆回两个 head,无 schema 改动。"""
-6
View File
@@ -21,19 +21,16 @@ from app.admin.routers.audit import router as audit_router
from app.admin.routers.auth import router as auth_router
from app.admin.routers.comparison import router as comparison_router
from app.admin.routers.config import router as config_router
from app.admin.routers.coupon_data import router as coupon_data_router
from app.admin.routers.cps import router as cps_router
from app.admin.routers.dashboard import router as dashboard_router
from app.admin.routers.device_liveness import router as device_liveness_router
from app.admin.routers.ops_stat_config import router as ops_stat_config_router
from app.admin.routers.analytics_health import router as analytics_health_router
from app.admin.routers.event_logs import router as event_logs_router
from app.admin.routers.feedback import router as feedback_router
from app.admin.routers.feedback_qr import router as feedback_qr_router
from app.admin.routers.onboarding import router as onboarding_router
from app.admin.routers.ops_marquee_seed import router as ops_marquee_seed_router
from app.admin.routers.price_report import router as price_report_router
from app.admin.routers.roles import router as roles_router
from app.admin.routers.users import router as users_router
from app.admin.routers.wallet import router as wallet_router
from app.admin.routers.withdraw import router as withdraw_router
@@ -98,15 +95,12 @@ admin_app.include_router(withdraw_router)
admin_app.include_router(price_report_router)
admin_app.include_router(feedback_router)
admin_app.include_router(event_logs_router)
admin_app.include_router(analytics_health_router)
admin_app.include_router(feedback_qr_router)
admin_app.include_router(admins_router)
admin_app.include_router(roles_router)
admin_app.include_router(audit_router)
admin_app.include_router(config_router)
admin_app.include_router(comparison_router)
admin_app.include_router(cps_router)
admin_app.include_router(coupon_data_router)
admin_app.include_router(ad_audit_router)
admin_app.include_router(ad_config_router)
admin_app.include_router(ad_revenue_router)
-83
View File
@@ -1,83 +0,0 @@
"""admin 后台「页面权限目录」—— RBAC 的权限侧单一真源。
一个权限 = 一个页面(= 左侧导航项)。角色持有一组 page key,登录后左侧只展示这些页(见前端
layout.tsx 按 pages 过滤导航)。key 必须与前端路由一级对齐(/dashboard → "dashboard")。
super_admin 为内建全权角色,恒可见全部页(effective_pages 特判)。新增页面 = 这里加一条 +
前端导航加对应项(key 一致即可被各角色勾选可见)。
"""
from __future__ import annotations
SUPER_ADMIN_ROLE = "super_admin"
# 「自定义」哨兵角色:不是 admin_role 表里的行,而是标记「这个人的可见页由 pages_override 决定」。
# admin_user.role == CUSTOM_ROLE 时,有效可见页取 admin_user.pages_override(见 auth._admin_out_with_pages)。
CUSTOM_ROLE = "custom"
# 分组镜像前端导航(app/(main)/layout.tsx 的 NAV_GROUPS);key = 路由一级
PERMISSION_CATALOG: list[dict] = [
{"group": "看板", "pages": [
{"key": "dashboard", "label": "数据大盘"},
{"key": "coupon-data", "label": "领券数据"},
{"key": "ad-revenue-report", "label": "广告收益"},
{"key": "comparison-records", "label": "比价记录"},
{"key": "cps", "label": "CPS收益"},
{"key": "device-liveness", "label": "设备存活"},
]},
{"group": "奖励审核", "pages": [
{"key": "withdraws", "label": "提现审核"},
{"key": "price-reports", "label": "低价审核"},
{"key": "feedbacks", "label": "用户反馈"},
]},
{"group": "数据配置", "pages": [
{"key": "config", "label": "系统配置"},
{"key": "ad-revenue", "label": "广告配置"},
{"key": "users", "label": "用户管理"},
]},
{"group": "其他", "pages": [
{"key": "admins", "label": "权限管理"},
{"key": "event-logs", "label": "埋点日志"},
{"key": "audit-logs", "label": "审计日志"},
]},
]
# 全部页面 key(super_admin 有效可见 = 此全集;也用于校验角色 pages 合法性)
ALL_PAGE_KEYS: list[str] = [p["key"] for g in PERMISSION_CATALOG for p in g["pages"]]
_ALL_SET = set(ALL_PAGE_KEYS)
# 内建角色定义(种子 / ensure 兜底的单一真源):(key, 中文展示名, 默认可见页)。
# 页集对齐 Prototypes/dashboard/permissions.md 的 ROLES;super_admin 恒全权(pages 空、bypass)。
# key 承重(require_role / admin_user.role),勿改;label 为 UI 展示名。
BUILTIN_ROLES: list[dict] = [
{"name": SUPER_ADMIN_ROLE, "label": "管理员", "pages": []},
{"name": "operator", "label": "运营", "pages": [
"dashboard", "coupon-data", "ad-revenue-report", "comparison-records",
"cps", "device-liveness", "price-reports", "feedbacks",
]},
{"name": "finance", "label": "财务", "pages": [
"dashboard", "ad-revenue-report", "cps", "withdraws",
]},
{"name": "tech", "label": "技术", "pages": [
"dashboard", "device-liveness", "config", "ad-revenue", "event-logs", "audit-logs",
]},
]
# 内建 key → 中文展示名(展示 / 自愈用)
BUILTIN_LABELS: dict[str, str] = {r["name"]: r["label"] for r in BUILTIN_ROLES}
def sanitize_pages(pages: list[str] | None) -> list[str]:
"""过滤掉不在目录里的 key(去重、保序),防脏数据/目录收缩后的悬空 key。"""
seen: set[str] = set()
out: list[str] = []
for k in pages or []:
if k in _ALL_SET and k not in seen:
seen.add(k)
out.append(k)
return out
def effective_pages(role_name: str, role_pages: list[str] | None) -> list[str]:
"""某角色的有效可见页:super_admin → 全部;其余 → 其 pages 与目录取交(自愈悬空 key)。"""
if role_name == SUPER_ADMIN_ROLE:
return list(ALL_PAGE_KEYS)
return sanitize_pages(role_pages)
+1 -7
View File
@@ -136,16 +136,12 @@ def _feed_scene_matches(rec: AdFeedRewardRecord, scene: str | None) -> bool:
"""该信息流记录是否落入请求的展示筛选 scene。
- scene=="feed":ad_type in ("feed", NULL)(旧数据 NULL 视为 feed,向后兼容)
- scene=="draw":ad_type=="draw"
- scene=="feed_all":所有信息流(feed/draw/NULL 都要)——业务已全切 Draw 信息流,收益报表把「Draw 信息流」
当作整个信息流口径(含历史误标 feed/NULL),用它避免筛选漏历史。
- scene 为 None:不筛(两类都要)。
"""
if scene == "feed":
return rec.ad_type in (None, "feed")
if scene == "draw":
return rec.ad_type == "draw"
if scene == "feed_all":
return True
return True
@@ -188,7 +184,6 @@ def _feed_rows(
"record_id": rec.id,
"user_id": rec.user_id,
"ad_session_id": rec.ad_session_id,
"trace_id": rec.trace_id,
"app_env": rec.app_env,
"our_code_id": rec.our_code_id,
"created_at": rec.created_at,
@@ -214,7 +209,6 @@ def _feed_rows(
"record_id": rec.id,
"user_id": rec.user_id,
"ad_session_id": rec.ad_session_id,
"trace_id": rec.trace_id,
"app_env": rec.app_env,
"our_code_id": rec.our_code_id,
"created_at": rec.created_at,
@@ -247,7 +241,7 @@ def audit_rows(
rows: list[dict] = []
if scene in (None, "reward_video"):
rows.extend(_reward_video_rows(db, date=date, user_id=user_id))
if scene in (None, "feed", "draw", "feed_all"):
if scene in (None, "feed", "draw"):
rows.extend(_feed_rows(db, date=date, user_id=user_id, scene=scene))
return rows
+39 -133
View File
@@ -3,11 +3,9 @@
只读。每行 = 一次广告事件(不再按用户聚合):
- **激励视频**:一次观看 = 1 条展示(ad_ecpm)+ 1 条发奖(ad_reward),按 ad_session_id 合并成一行,
直接给出 eCPM / 收益 + 状态 / 应发 / 实发 / 一致;点开看该条金币复算因子。
- **信息流(比价/领券)**:一次比价 / 一次领券 = 一条整场发奖(ad_feed_reward)一行,给出 eCPM /
发奖金币 + 应发 / 实发 / 一致;点开看金币复算因子。⚠️ draw 的逐条展示(ad_ecpm,impressionId 各自
独立、与整场发奖无公共键、无法归到「哪一次」)**不再单独占行**(2026-07 按「一次比价/领券放一块」调整)——
其展示数 / eCPM / 预估收益仍进全量统计(合计 / 趋势 / 分类大盘 / 穿山甲对照),只是主表不逐条铺开。
- 兜底:激励视频有展示无发奖(中途关 / 未达发奖)、有发奖无展示(未上报 eCPM)仍各自成行。
- **信息流**:轮播每条展示各一行(impressionId 各自独立);整场发奖(ad_feed_reward,client_event_id)
与逐条展示无法对应,单独成「纯发奖」行。
- 兜底:有展示无发奖(中途关 / 未达发奖)、有发奖无展示(未上报 eCPM)都各自成行。
展示与收益来自 ad_ecpm_record(收益 = eCPM元 ÷ 1000);应发 / 实发金币复用金币审计逐条复算
(ad_audit.audit_rows,与正式发奖同一公式口径,不另写公式)。合计与对账在全量上统计,
@@ -60,6 +58,14 @@ def _date_range(date_from: str, date_to: str) -> list[str]:
_AUDIT_SCENES = {"reward_video", "feed", "draw"}
def _event_ad_type(row: dict) -> str:
"""纯发奖事件行的 ad_type:信息流行用 audit 带回的真实 ad_type(feed/draw),回退 feed;
激励视频行恒 reward_video。不再用 scene 硬映射,避免把 draw 丢成 feed。"""
if row["scene"] == "reward_video":
return "reward_video"
return row.get("ad_type") or "feed"
# 发奖复算明细字段(展开下钻看「金币怎么算出来的」)——从 audit 行原样取这些 key。
_REWARD_DETAIL_KEYS = (
"record_id", "created_at", "status", "ecpm", "ecpm_factor", "units",
@@ -102,14 +108,9 @@ def ad_revenue_report(
# 同时保留全量列表,未被展示合并的成「纯发奖」事件。
reward_by_session: dict[tuple[int, str], list[dict]] = {}
all_reward_rows: list[dict] = []
# 报表 ad_type audit scene:reward_video/feed 直传;**draw(前端「Draw 信息流」)映射成 feed_all**
# ——业务已全切 Draw,把「Draw 信息流」当作整个信息流口径(含历史误标 feed/NULL),否则筛选会漏历史
if ad_type == "draw":
audit_scene = "feed_all"
elif ad_type in _AUDIT_SCENES:
audit_scene = ad_type
else:
audit_scene = None
# 报表 ad_type 直接当 audit scene 用(取值一致);未知/无效 ad_type 不取发奖行。draw 在此被
# 正确传成 scene="draw",audit 会按 ad_type 筛出 Draw 发奖,不再丢成 feed
audit_scene = ad_type if ad_type in _AUDIT_SCENES else None
if ad_type is None or audit_scene is not None:
for d in _date_range(date_from, date_to):
for row in ad_audit.audit_rows(db, date=d, user_id=user_id, scene=audit_scene):
@@ -139,10 +140,7 @@ def ad_revenue_report(
)
if user_id is not None:
stmt = stmt.where(AdEcpmRecord.user_id == user_id)
if ad_type == "draw":
# draw = 所有信息流展示(业务已全 Draw,含历史误标 feed);展示行只进统计,不占主表行
stmt = stmt.where(AdEcpmRecord.ad_type.in_(["draw", "feed"]))
elif ad_type is not None:
if ad_type is not None:
stmt = stmt.where(AdEcpmRecord.ad_type == ad_type)
for rec in db.execute(stmt).scalars():
rwd = _pop_reward(rec.user_id, rec.ad_session_id)
@@ -167,8 +165,6 @@ def ad_revenue_report(
),
"adn": rec.adn,
"slot_id": rec.slot_id,
"sub_rewards": [],
"sub_count": 1,
}
if rwd is not None:
ev.update({
@@ -188,88 +184,33 @@ def ad_revenue_report(
})
events.append(ev)
# 3) 未被展示合并的发奖行 → 事件:
# - 激励视频(reward_video):逐条成「纯发奖」事件(每次一个 ad_session_id;有发奖无展示等)。
# - 信息流(feed/draw):同一次比价/领券的多条广告共享**整场 ad_session_id**(客户端整场复用),
# 按 (user_id, ad_session_id) 聚成**一次比价 / 一次领券**父事件;sub_rewards 为组内逐条明细,
# 应发/实发取组内合计;业务已全 Draw → 类型统一 "draw"。session 缺失(极少旧数据)各自单独成组。
feed_groups: dict[tuple[int, str], list[dict]] = {}
# 3) 未被展示合并的发奖行 → 「纯发奖」事件(信息流整场发奖 / 有发奖无展示)。
# 收益恒 0(收益只算展示侧,避免与展示行重复计)。
for row in all_reward_rows:
if row["record_id"] in used_reward_ids:
continue
if row["scene"] == "reward_video":
events.append({
"event_key": f"rwd-{row['record_id']}",
"report_date": row["_report_date"],
"user_id": row["user_id"],
"ad_type": "reward_video",
"feed_scene": row.get("feed_scene"),
"app_env": row.get("app_env"),
"our_code_id": row.get("our_code_id"),
"created_at": row["created_at"],
"hour": _cn_hour(row["created_at"]) if by_hour else None,
"has_impression": False,
"impressions": 0,
"ecpm": row["ecpm"],
"revenue_yuan": 0.0,
"adn": None,
"slot_id": None,
"has_reward": True,
"status": row["status"],
"expected_coin": int(row["expected_coin"]),
"actual_coin": int(row["actual_coin"]),
"matched": bool(row["matched"]),
"reward_detail": _reward_detail(row),
"sub_rewards": [],
"sub_count": 1,
})
else:
# 聚合单位 = 一次完整比价/领券流程:优先用 trace_id(比价带 comparisonTraceId、领券带 sessionTraceId,
# 整个流程不变;即使中途点广告致浮层关闭重弹、ad_session_id 变了,trace_id 仍不变 → 全流程聚成一行)。
# 无 trace_id(历史领券未上报 / 旧数据)回退整场 ad_session_id;再无则 record_id 各自成组、不误并。
grp_key = row.get("trace_id") or row.get("ad_session_id") or f"_rid-{row['record_id']}"
feed_groups.setdefault((row["user_id"], grp_key), []).append(row)
# 信息流分组 → 「一次比价 / 一次领券」父事件(收益恒 0:收益只算展示侧,避免与展示行重复计)。
for (uid, grp_key), group in feed_groups.items():
group.sort(key=lambda r: (r["created_at"], r["record_id"]))
rep = group[-1] # 代表条(最新一条):时间/场景/应用/代码位取它
expected_sum = sum(int(g["expected_coin"]) for g in group)
actual_sum = sum(int(g["actual_coin"]) for g in group)
# 父行 eCPM:组内各条 eCPM(分)均值(展示用,各条不同);无有效值则取代表条
ecpm_fens = [rewards.parse_ecpm_fen(g["ecpm"]) for g in group if g.get("ecpm")]
avg_ecpm = str(round(sum(ecpm_fens) / len(ecpm_fens))) if ecpm_fens else rep.get("ecpm")
# 主表逐行显示用:这次发奖广告的预估收益之和(发奖侧 eCPM 折算,钳顶同展示侧)。只放进
# row_revenue_yuan 给主表逐行展示,不进 revenue_yuan/合计/趋势——避免与展示侧 total 重复计。
row_revenue = round(sum(
min(rewards.parse_ecpm_yuan(g["ecpm"]), rewards.AD_ECPM_MAX_FEN / 100.0) / 1000.0
for g in group if g.get("ecpm")
), 6)
events.append({
"event_key": f"feedgrp-{uid}-{grp_key}",
"report_date": rep["_report_date"],
"user_id": uid,
"ad_type": "draw", # 业务已全切 Draw 信息流,聚合行统一 draw
"feed_scene": rep.get("feed_scene"),
"app_env": rep.get("app_env"),
"our_code_id": rep.get("our_code_id"),
"created_at": rep["created_at"],
"hour": _cn_hour(rep["created_at"]) if by_hour else None,
"event_key": f"rwd-{row['record_id']}",
"report_date": row["_report_date"],
"user_id": row["user_id"],
"ad_type": _event_ad_type(row),
"feed_scene": row.get("feed_scene"),
"app_env": row.get("app_env"),
"our_code_id": row.get("our_code_id"),
"created_at": row["created_at"],
"hour": _cn_hour(row["created_at"]) if by_hour else None,
"has_impression": False,
"impressions": 0,
"ecpm": avg_ecpm,
"ecpm": row["ecpm"],
"revenue_yuan": 0.0,
"row_revenue_yuan": row_revenue,
"adn": None,
"slot_id": None,
"has_reward": True,
"status": rep["status"], # 代表状态(逐条见展开)
"expected_coin": expected_sum,
"actual_coin": actual_sum,
"matched": all(bool(g["matched"]) for g in group),
"reward_detail": None,
"sub_rewards": [_reward_detail(g) for g in group],
"sub_count": len(group),
"status": row["status"],
"expected_coin": int(row["expected_coin"]),
"actual_coin": int(row["actual_coin"]),
"matched": bool(row["matched"]),
"reward_detail": _reward_detail(row),
})
# 「场景」作为全局筛选(与 user_id/ad_type 一致):同时作用于明细、合计与 daily/hourly 趋势。
@@ -385,48 +326,14 @@ def ad_revenue_report(
for k, v in type_map.items()
}
# 分场景小计(按 feed_scene:展示条数 + 预估收益),同 type_stats 基于全量 events——
# 供数据大盘「领券广告 / 比价广告」卡用。此前大盘是在分页 items 里按 feed_scene 现算,
# 2026-07-02 起信息流逐条展示行(唯一带收益 + 场景的行)不再进主表 items,现算恒为 0;
# 改为服务端在全量上聚合下发(也顺带不受 limit 分页截断影响)。feed_scene 为空(激励视频 /
# 旧数据)不计入任何场景桶。
scene_map: dict[str, dict] = {}
for e in events:
sc = e.get("feed_scene")
if not sc:
continue
s = scene_map.get(sc)
if s is None:
s = {"impressions": 0, "revenue_yuan": 0.0}
scene_map[sc] = s
s["impressions"] += e["impressions"]
s["revenue_yuan"] += e["revenue_yuan"]
scene_stats = {
k: {"impressions": v["impressions"], "revenue_yuan": round(v["revenue_yuan"], 6)}
for k, v in scene_map.items()
}
# DAU:复用数据大盘活跃用户口径(登录 + 开始比价 + 开始领券,按用户去重),按所选日期区间
# 统计(含今日),历史 / 多天区间同样有值。ARPU = 区间预估收益 ÷ 区间活跃用户。全局口径,
# 不随 user / ad_type / feed_scene / app_env 筛选变化(活跃用户口径无这些维度)。
dau = admin_stats.period_active_dau(
db, _date.fromisoformat(date_from), _date.fromisoformat(date_to)
)
# 主表「逐行」= 单次广告行为(2026-07 按「一次比价/领券放一块」聚合):激励视频 = 一次观看一行(展示+发奖
# 按 ad_session_id 合并);一次比价 / 一次领券 = 该次整场多条广告按 ad_session_id 聚成一行(展开看逐条)。
# 信息流(draw/feed)的逐条展示(ad_ecpm,impressionId 各自独立、与整场发奖无公共键)不再单独占行
# ——其展示数 / eCPM / 预估收益已计入上面的全量统计(total_*、daily / hourly、type_stats、穿山甲对照),
# 只是主表不逐条铺开;逐条明细在父行展开里看(sub_rewards)。合计 / 趋势 / 分类大盘均基于全量 events,
# 不受此过滤影响;total / 分页只作用于主表行。
main_rows = [
e for e in events
if not (e["ad_type"] in ("draw", "feed") and e["has_impression"] and not e["has_reward"])
]
# DAU:复用大盘「今日活跃」口径(stats.today_dau,last_login_at)。该口径只能算今日,
# 故仅当查询=今日单天时给值;历史 / 多天区间返回 None,前端显示「-」。
is_today = date_from == date_to == rewards.cn_today().isoformat()
dau = admin_stats.today_dau(db) if is_today else None
return {
"total": len(main_rows),
"truncated": len(main_rows) > offset + limit,
"total": len(events),
"truncated": len(events) > offset + limit,
"total_impressions": total_impressions,
"total_revenue_yuan": total_revenue_yuan,
# 穿山甲后台收益合计(元):预估 revenue + 收益Api;非全量视图(带 user/类型/场景过滤)或无数据为 None。
@@ -439,7 +346,6 @@ def ad_revenue_report(
"daily": daily,
"hourly": hourly,
"type_stats": type_stats,
"scene_stats": scene_stats,
"dau": dau,
"items": main_rows[offset:offset + limit],
"items": events[offset:offset + limit],
}
-81
View File
@@ -1,81 +0,0 @@
"""admin_role 表 CRUD + 「角色 → 有效可见页」解析。"""
from __future__ import annotations
from sqlalchemy import select
from sqlalchemy.orm import Session
from app.admin.permissions import (
ALL_PAGE_KEYS,
BUILTIN_ROLES,
SUPER_ADMIN_ROLE,
sanitize_pages,
)
from app.models.admin_role import AdminRole
def ensure_builtin_roles(db: Session) -> None:
"""空表时播种内建角色(管理员/运营/财务/技术)。幂等:表非空即 no-op。
给 create_all 环境(测试 / 未跑迁移的全新库)兜底,迁移已播种则不重复。
仅 super_admin 为 is_builtin(锁定不可改删);运营/财务/技术可编辑页/删除。"""
if db.execute(select(AdminRole.id).limit(1)).first() is not None:
return
db.add_all([
AdminRole(
name=r["name"], label=r["label"], pages=list(r["pages"]),
is_builtin=(r["name"] == SUPER_ADMIN_ROLE),
)
for r in BUILTIN_ROLES
])
db.commit()
def list_roles(db: Session) -> list[AdminRole]:
ensure_builtin_roles(db)
# super_admin(内建)恒排最前,其余按创建序
return list(
db.execute(
select(AdminRole).order_by(AdminRole.is_builtin.desc(), AdminRole.id)
).scalars().all()
)
def get_role(db: Session, name: str) -> AdminRole | None:
return db.execute(
select(AdminRole).where(AdminRole.name == name)
).scalar_one_or_none()
def create_role(db: Session, *, name: str, label: str, pages: list[str]) -> AdminRole:
# 自定义角色:name(key)= label = 用户输入的名称
role = AdminRole(name=name, label=label, pages=sanitize_pages(pages), is_builtin=False)
db.add(role)
db.commit()
db.refresh(role)
return role
def update_role(
db: Session, role: AdminRole, *, label: str | None = None, pages: list[str] | None = None
) -> AdminRole:
# 只改展示名 label + 可见页;name(key)不可变(admin_user.role / require_role 承重)
if label is not None:
role.label = label
if pages is not None:
role.pages = sanitize_pages(pages)
db.commit()
db.refresh(role)
return role
def delete_role(db: Session, role: AdminRole) -> None:
db.delete(role)
db.commit()
def effective_pages_of(db: Session, role_name: str) -> list[str]:
"""某角色名的有效可见页:super_admin → 全部;其余 → 查表 pages 与目录取交。"""
if role_name == SUPER_ADMIN_ROLE:
return list(ALL_PAGE_KEYS)
ensure_builtin_roles(db)
role = get_role(db, role_name)
return sanitize_pages(role.pages if role else None)
+1 -12
View File
@@ -20,23 +20,12 @@ def get_by_username(db: Session, username: str) -> AdminUser | None:
def create_admin(
db: Session,
*,
username: str,
password: str,
role: str = "operator",
plain_password: str | None = None,
pages_override: list[str] | None = None,
db: Session, *, username: str, password: str, role: str = "operator"
) -> AdminUser:
"""建管理员。plain_password 非空则额外留存明文(后台 UI 建的账号传,供权限管理页复看);
脚本/起后台建账号不传(留 None → 前端不显示密码)。
pages_override:role=="custom" 时传专属可见页 key 列表;普通角色为 None。"""
admin = AdminUser(
username=username,
password_hash=hash_password(password),
role=role,
plain_password=plain_password,
pages_override=pages_override,
)
db.add(admin)
db.commit()
-146
View File
@@ -1,146 +0,0 @@
"""埋点健康度聚合(埋点成功率 / 上报成功率)。
只存原始累计快照,查询时在 Python 侧差分聚合(admin 低频、量级小,跨 PG/SQLite 无方言坑;
与 cps.py / coupon_data.py 同款约定)。差分按 (device_id, epoch_id, event) 分区、created_at
升序,相邻做差、负值夹 0;每增量按其快照 created_at 归入北京天桶。
"""
from __future__ import annotations
from collections import defaultdict
from datetime import UTC, datetime
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from app.core import rewards
from app.models.analytics_selfstat import AnalyticsSelfStat as H
from app.models.analytics_selfstat import AnalyticsSelfStatEvent as E
_COUNTS = ("attempted", "drop_capture", "delivered", "drop_undelivered")
def diff_snapshots(rows: list[dict]) -> list[dict]:
"""累计快照行 → 每快照增量行(纯逻辑)。
rows 每行含 device_id/epoch_id/event/created_at/app_ver/oem/os + 四个累计计数。
返回每行含 dims + created_at + 四个增量 d_*(分区首行增量=累计值;负值夹 0)。
"""
parts: dict[tuple, list[dict]] = defaultdict(list)
for r in rows:
parts[(r["device_id"], r["epoch_id"], r["event"])].append(r)
out: list[dict] = []
for group in parts.values():
group.sort(key=lambda r: (r["created_at"], r.get("id", 0)))
prev = {k: 0 for k in _COUNTS}
for r in group:
deltas = {f"d_{k}": max(0, int(r[k]) - prev[k]) for k in _COUNTS}
out.append({
"device_id": r["device_id"], "epoch_id": r["epoch_id"], "event": r["event"],
"created_at": r["created_at"], "app_ver": r["app_ver"],
"oem": r["oem"], "os": r["os"], **deltas,
})
prev = {k: int(r[k]) for k in _COUNTS}
return out
def _cn_day(dt: datetime) -> str:
"""created_at(UTC 口径)→ 北京日期字符串 YYYY-MM-DD。naive 当 UTC,tz-aware 直接换算。"""
if dt.tzinfo is None:
dt = dt.replace(tzinfo=UTC)
return dt.astimezone(rewards.CN_TZ).date().isoformat()
def _rates(sums: dict) -> dict:
"""由四个增量和派生两段率(分母 0 → None)。"""
persisted_denom = sums["attempted"]
report_denom = sums["delivered"] + sums["drop_undelivered"]
return {
**sums,
"track_success_rate": (
(sums["attempted"] - sums["drop_capture"]) / persisted_denom
if persisted_denom else None
),
"report_success_rate": (
sums["delivered"] / report_denom if report_denom else None
),
}
def _sum_deltas(deltas: list[dict]) -> dict:
return {k: sum(d[f"d_{k}"] for d in deltas) for k in _COUNTS}
def _fetch_rows(db: Session, date_from: datetime, date_to: datetime) -> list[dict]:
"""取 [from, to) 区间行 + 每分区在 from 左侧的最后一条基线行(供第一条区间增量做差)。"""
cols = (
H.id, H.device_id, H.epoch_id, E.event, H.created_at,
H.app_ver, H.oem, H.os,
E.attempted, E.drop_capture, E.delivered, E.drop_undelivered,
)
in_range = db.execute(
select(*cols).join(E, E.snapshot_id == H.id)
.where(H.created_at >= date_from, H.created_at < date_to)
).mappings().all()
# 注:基线子查询无下界扫 from 左侧全量(spec §7 已接受的取舍;量级变大再上物化 rollup)。
# 用 max(id) 而非 max(created_at) 选"最新一条":id 严格单调,避免 SQLite 秒级时间戳撞车时选歧义。
sub = (
select(H.device_id, H.epoch_id, E.event, func.max(H.id).label("max_id"))
.join(E, E.snapshot_id == H.id)
.where(H.created_at < date_from)
.group_by(H.device_id, H.epoch_id, E.event)
.subquery()
)
baseline = db.execute(
select(*cols).join(E, E.snapshot_id == H.id).join(
sub, sub.c.max_id == H.id
)
).mappings().all()
return [dict(r) for r in list(baseline) + list(in_range)]
def _in_range_deltas(db: Session, date_from: datetime, date_to: datetime) -> list[dict]:
"""差分后只保留 created_at ∈ [from, to) 的增量(基线行被差分用后丢弃)。
Python 侧过滤需对齐 tz 口径:SQLite 返回 naive UTC,PG 返回 aware UTC。
统一转成 naive UTC 再比较,兼容两种后端。
"""
def _to_naive_utc(dt: datetime) -> datetime:
if dt.tzinfo is not None:
return dt.astimezone(UTC).replace(tzinfo=None)
return dt
from_naive = _to_naive_utc(date_from)
to_naive = _to_naive_utc(date_to)
deltas = diff_snapshots(_fetch_rows(db, date_from, date_to))
return [d for d in deltas if from_naive <= _to_naive_utc(d["created_at"]) < to_naive]
def overview(db: Session, date_from: datetime, date_to: datetime) -> dict:
deltas = _in_range_deltas(db, date_from, date_to)
return _rates(_sum_deltas(deltas))
def trend(db: Session, date_from: datetime, date_to: datetime) -> list[dict]:
deltas = _in_range_deltas(db, date_from, date_to)
by_day: dict[str, list[dict]] = defaultdict(list)
for d in deltas:
by_day[_cn_day(d["created_at"])].append(d)
return [
{"day": day, **_rates(_sum_deltas(items))}
for day, items in sorted(by_day.items())
]
def breakdown(db: Session, date_from: datetime, date_to: datetime, dim: str) -> list[dict]:
if dim not in ("event", "app_ver", "oem"):
raise ValueError(f"invalid dim: {dim!r}")
deltas = _in_range_deltas(db, date_from, date_to)
by_key: dict[str, list[dict]] = defaultdict(list)
for d in deltas:
by_key[d.get(dim) or "(unknown)"].append(d)
rows = [{"key": key, **_rates(_sum_deltas(items))} for key, items in by_key.items()]
rows.sort(key=lambda r: (r["report_success_rate"] is None, r["report_success_rate"] or 0.0))
return rows
-335
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@@ -1,335 +0,0 @@
"""admin「领券数据」看板聚合:发起/完成数、耗时均值与分位、按天/小时趋势、逐条明细。
数据源 coupon_session(一次领券一行,客户端 /api/v1/coupon/session 两段上报)。量级不大,全量拉
区间数据后 Python 聚合(分位 SQLite 无 percentile,统一 Python 算,PG 上也一致)。
- 发起数 = 区间内全部 session(含 started/completed/failed/abandoned),= 流失统计的基数。
- 完成数 / 耗时均值 / 分位 = 仅 status==completed 子集(成功跑完才有可比的"领券耗时")。
- summary/daily/hourly/total 在全量上算,不受分页;items 为排序后当前页。
- 另含 coupon_slot_report(数据源 coupon_claim_record):按 coupon_id「按券成功率」表,见设计 §13。
"""
from __future__ import annotations
from datetime import UTC, datetime
from datetime import date as _date
from sqlalchemy import case, func, or_, select
from sqlalchemy.orm import Session
from app.core import rewards
from app.models.coupon_state import CouponClaimRecord, CouponSession
from app.models.user import User
from app.repositories import ad_ecpm as crud_ecpm
from app.repositories.coupon_state import DEFAULT_PLATFORMS, coupon_id_to_platform
def _cn_hour(dt: datetime) -> int:
"""started_at(UTC 口径)→ 北京时间小时(023)。naive 当 UTC(sqlite),tz-aware 直接换算(pg)。"""
if dt.tzinfo is None:
dt = dt.replace(tzinfo=UTC)
return dt.astimezone(rewards.CN_TZ).hour
def _percentile(sorted_vals: list[int], q: float) -> int | None:
"""线性插值分位(q=0..100,numpy 默认法)。sorted_vals 须已升序;空返回 None。"""
if not sorted_vals:
return None
if len(sorted_vals) == 1:
return sorted_vals[0]
idx = (len(sorted_vals) - 1) * q / 100.0
lo = int(idx)
hi = min(lo + 1, len(sorted_vals) - 1)
frac = idx - lo
return round(sorted_vals[lo] * (1 - frac) + sorted_vals[hi] * frac)
def _avg(vals: list[int]) -> int | None:
return round(sum(vals) / len(vals)) if vals else None
def _success_rates(rows: list) -> dict:
"""平台粒度成功率(见 docs/guides/领券成功率指标-设计与埋点.md §3/§12):
- sel(s) = 勾选平台(`platforms` 空 → 全领三档 DEFAULT_PLATFORMS);
- succ(s) = `platform_success` ∩ sel(至少领到一张的平台);
- ② 整单成功率 = #{sel⊆succ 且 sel≠∅} / 发起数;
- ③ 点位成功率 = Σ|succ| / Σ|sel|;per_platform[p] = 勾了 p 且成功 / 勾了 p。
基数含全部 session(started/completed/failed/abandoned),与「发起数」同基数。
"""
started = len(rows)
full_success = 0
point_success = 0
point_total = 0
per_succ = {p: 0 for p in DEFAULT_PLATFORMS}
per_total = {p: 0 for p in DEFAULT_PLATFORMS}
for r in rows:
sel = set(r.platforms) if r.platforms else set(DEFAULT_PLATFORMS)
succ = set(r.platform_success or []) & sel
point_success += len(succ)
point_total += len(sel)
if sel and succ == sel:
full_success += 1
for p in sel:
if p in per_total: # 只统计三档已知平台;未知/非法平台 id 不进 per_platform
per_total[p] += 1
if p in succ:
per_succ[p] += 1
return {
"full_success_count": full_success,
"full_success_rate": round(full_success / started, 4) if started else None,
"point_success_count": point_success,
"point_total_count": point_total,
"point_success_rate": round(point_success / point_total, 4) if point_total else None,
"per_platform": {
p: (round(per_succ[p] / per_total[p], 4) if per_total[p] else None)
for p in DEFAULT_PLATFORMS
},
}
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,
"trace_id": r.trace_id,
"user_id": r.user_id,
"user_phone": phone,
"user_nickname": nickname,
"status": r.status,
"platforms": r.platforms,
"origin_package": r.origin_package,
"elapsed_ms": r.elapsed_ms,
"platform_elapsed": r.platform_elapsed,
"device_model": r.device_model,
"rom": r.rom,
"app_env": r.app_env,
"started_at": r.started_at,
"claimed_count": r.claimed_count,
"trace_url": r.trace_url,
"ad_revenue_yuan": ad_revenue_yuan,
}
def _empty_result() -> dict:
return {
"summary": {
"started_count": 0, "completed_count": 0, "avg_elapsed_ms": None,
"p5_ms": None, "p50_ms": None, "p95_ms": None, "p99_ms": None,
},
"daily": [],
"hourly": [],
"total": 0,
"items": [],
}
def coupon_data_report(
db: Session,
*,
date_from: str,
date_to: str,
user: str | None = None,
app_env: str | None = None,
statuses: list[str] | None = None,
granularity: str = "day",
limit: int = 500,
offset: int = 0,
sort: str = "time",
) -> dict:
"""日期区间(北京自然日 started_date,闭区间)领券数据:汇总卡 + 趋势 + 逐条明细。
- user:手机号/昵称模糊搜(匹配不到任何用户 → 空结果)。
- app_env:prod/dev 精确;None=全部。
- statuses:领券状态多选(started/completed/failed/abandoned);None/空=全部。整个视图
(汇总/成功率/趋势/明细)按选中状态算,与 app_env 同级过滤(方案 A)。
- sort:time=发起时刻倒序(默认) / elapsed=全程耗时倒序(None 末尾)。
"""
by_hour = granularity == "hour"
d_from = _date.fromisoformat(date_from)
d_to = _date.fromisoformat(date_to)
# user 模糊 → 先定位匹配用户 id;匹配不到直接空结果(不全表扫)。
user_ids: set[int] | None = None
if user:
like = f"%{user}%"
user_ids = set(db.execute(
select(User.id).where(or_(User.phone.like(like), User.nickname.like(like)))
).scalars().all())
if not user_ids:
return _empty_result()
stmt = select(CouponSession).where(
CouponSession.started_date >= d_from,
CouponSession.started_date <= d_to,
)
if app_env is not None:
stmt = stmt.where(CouponSession.app_env == app_env)
if statuses:
stmt = stmt.where(CouponSession.status.in_(statuses))
if user_ids is not None:
stmt = stmt.where(CouponSession.user_id.in_(user_ids))
rows = list(db.execute(stmt).scalars())
# ── 汇总卡 ──
completed_elapsed = sorted(
r.elapsed_ms for r in rows if r.status == "completed" and r.elapsed_ms is not None
)
summary = {
"started_count": len(rows),
"completed_count": sum(1 for r in rows if r.status == "completed"),
"avg_elapsed_ms": _avg(completed_elapsed),
"p5_ms": _percentile(completed_elapsed, 5),
"p50_ms": _percentile(completed_elapsed, 50),
"p95_ms": _percentile(completed_elapsed, 95),
"p99_ms": _percentile(completed_elapsed, 99),
**_success_rates(rows),
}
# ── 按天趋势(柱=发起/完成数,线=平均耗时)──
daily_map: dict[str, dict] = {}
for r in rows:
d = r.started_date.isoformat()
b = daily_map.get(d)
if b is None:
b = {"date": d, "started_count": 0, "completed_count": 0, "_elapsed": []}
daily_map[d] = b
b["started_count"] += 1
if r.status == "completed":
b["completed_count"] += 1
if r.elapsed_ms is not None:
b["_elapsed"].append(r.elapsed_ms)
daily = [
{
"date": b["date"],
"started_count": b["started_count"],
"completed_count": b["completed_count"],
"avg_elapsed_ms": _avg(b["_elapsed"]),
}
for b in sorted(daily_map.values(), key=lambda x: x["date"])
]
# ── 按小时趋势(单日 hour 粒度)──
hourly: list[dict] = []
if by_hour:
hour_map: dict[int, dict] = {}
for r in rows:
h = _cn_hour(r.started_at)
b = hour_map.get(h)
if b is None:
b = {"hour": h, "started_count": 0, "completed_count": 0, "_elapsed": []}
hour_map[h] = b
b["started_count"] += 1
if r.status == "completed":
b["completed_count"] += 1
if r.elapsed_ms is not None:
b["_elapsed"].append(r.elapsed_ms)
hourly = [
{
"hour": b["hour"],
"started_count": b["started_count"],
"completed_count": b["completed_count"],
"avg_elapsed_ms": _avg(b["_elapsed"]),
}
for b in sorted(hour_map.values(), key=lambda x: x["hour"])
]
# ── 明细:排序 + 分页 + 补用户手机号/昵称(批量,防 N+1)──
if sort == "elapsed":
rows.sort(key=lambda r: (r.elapsed_ms is None, -(r.elapsed_ms or 0)))
else: # time:发起时刻倒序
rows.sort(key=lambda r: r.started_at, reverse=True)
page = rows[offset:offset + limit]
uids = {r.user_id for r in page if r.user_id is not None}
user_map: dict[int, tuple[str | None, str | None]] = {}
if uids:
user_map = {
uid: (phone, nickname)
for uid, phone, nickname in db.execute(
select(User.id, User.phone, User.nickname).where(User.id.in_(uids))
).all()
}
rev_map = crud_ecpm.revenue_yuan_by_trace(db, [r.trace_id for r in page])
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)))
return {
"summary": summary,
"daily": daily,
"hourly": hourly,
"total": len(rows),
"items": items,
}
def coupon_user_records(db: Session, *, user_id: int, limit: int = 100) -> dict:
"""某用户全部领券记录(点手机号抽屉用):按发起时刻倒序、不限日期,total=该用户领券总次数。"""
rows = list(db.execute(
select(CouponSession)
.where(CouponSession.user_id == user_id)
.order_by(CouponSession.started_at.desc())
.limit(limit)
).scalars())
total = db.execute(
select(func.count()).select_from(CouponSession).where(CouponSession.user_id == user_id)
).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)) for r in rows],
"total": int(total),
}
_SLOT_OK = ("success", "already_claimed")
_SLOT_TRIED = ("success", "already_claimed", "failed")
def coupon_slot_report(
db: Session, *, date_from: str, date_to: str, app_env: str | None = None
) -> dict:
"""按 coupon_id(具体券)聚合成功率(见 docs/guides/领券成功率指标-设计与埋点.md §13)。
数据源 coupon_claim_record(粒度=设备-天,唯一键 device+coupon+day)。
- 尝试 = status ∈ {success, already_claimed, failed}(skipped 排除);
- 成功 = status ∈ {success, already_claimed};成功率 = 成功/尝试;
- claim_date 区间 + app_env(None=全部)过滤;按 tried 倒序返回。
"""
d_from = _date.fromisoformat(date_from)
d_to = _date.fromisoformat(date_to)
ok = case((CouponClaimRecord.status.in_(_SLOT_OK), 1), else_=0)
stmt = (
select(
CouponClaimRecord.coupon_id,
func.max(CouponClaimRecord.coupon_name).label("coupon_name"),
func.count().label("tried"),
func.sum(ok).label("succeeded"),
)
.where(
CouponClaimRecord.claim_date >= d_from,
CouponClaimRecord.claim_date <= d_to,
CouponClaimRecord.status.in_(_SLOT_TRIED),
)
.group_by(CouponClaimRecord.coupon_id)
)
if app_env is not None:
stmt = stmt.where(CouponClaimRecord.app_env == app_env)
items = []
for coupon_id, coupon_name, tried, succeeded in db.execute(stmt).all():
tried = int(tried or 0)
succeeded = int(succeeded or 0)
items.append({
"coupon_id": coupon_id,
"coupon_name": coupon_name,
"platform": coupon_id_to_platform(coupon_id),
"tried": tried,
"succeeded": succeeded,
"success_rate": round(succeeded / tried, 4) if tried else None,
})
items.sort(key=lambda x: (-x["tried"], x["coupon_id"]))
return {"items": items}
+5 -21
View File
@@ -51,27 +51,7 @@ def _yuan_to_cents(v: object) -> int | None:
def _ts_to_dt(ts: object) -> datetime | None:
"""秒级时间戳 → tz-aware UTC datetime(绝对时刻,前端按北京展示)。"""
if ts is None:
return None
if isinstance(ts, datetime):
return ts if ts.tzinfo else ts.replace(tzinfo=_BJ_TZ).astimezone(timezone.utc)
s = str(ts).strip()
if not s or s.lower() == "null":
return None
try:
seconds = float(Decimal(s))
except (InvalidOperation, ValueError):
return None
if seconds == 0:
return None
# 美团文档是秒级时间戳,这里顺手兼容毫秒/微秒,避免上游格式变化导致时间再次落空。
if abs(seconds) > 10_000_000_000_000:
seconds /= 1_000_000
elif abs(seconds) > 10_000_000_000:
seconds /= 1_000
try:
return datetime.fromtimestamp(seconds, tz=timezone.utc)
except (OverflowError, OSError, ValueError):
if not ts:
return None
@@ -103,6 +83,10 @@ def _pick(row: dict[str, Any], *keys: str) -> Any:
if key in row and row[key] is not None:
return row[key]
return None
try:
return datetime.fromtimestamp(int(ts), tz=timezone.utc)
except (ValueError, OSError, TypeError):
return None
# ───────────── 群 ─────────────
+1 -4
View File
@@ -65,19 +65,16 @@ def review_feedback(
reward_coins: int | None = None,
reject_reason: str | None = None,
review_note: str | None = None,
admin_reply: str | None = None,
commit: bool = True,
) -> Feedback:
"""审核反馈:置 adopted/rejected + 记录奖励/原因/回复留言/审核人/审核时间。
"""审核反馈:置 adopted/rejected + 记录奖励/原因/审核人/审核时间。
发金币(wallet.grant_coins)由 router 在同一事务里调,确保状态、金币流水、审计一起提交。
admin_reply=给用户的回复留言(用户端可见),与 review_note(内部备注)区分。
"""
feedback.status = status
feedback.reward_coins = reward_coins
feedback.reject_reason = reject_reason
feedback.review_note = review_note
feedback.admin_reply = admin_reply
feedback.reviewed_by_admin_id = reviewed_by_admin_id
feedback.reviewed_at = datetime.now(CN_TZ).replace(tzinfo=None)
if commit:
+43 -263
View File
@@ -11,7 +11,6 @@ from zoneinfo import ZoneInfo
from sqlalchemy import Select, asc, case, desc, func, or_, select
from sqlalchemy.orm import Session
from app.admin.repositories.stats import COMPARE_START_EVENT, COUPON_START_EVENT
from app.core import rewards
from app.core.config import settings
from app.models.ad_feed_reward import AdFeedRewardRecord
@@ -19,23 +18,12 @@ from app.models.ad_reward import AdRewardRecord
from app.models.admin import AdminAuditLog
from app.models.analytics_event import AnalyticsEvent
from app.models.comparison import ComparisonRecord
from app.models.coupon_state import CouponPromptEngagement
from app.models.device import DeviceLiveness
from app.models.feedback import Feedback
from app.models.onboarding import OnboardingCompletion
from app.models.price_report import PriceReport
from app.models.user import User
from app.models.wallet import (
CashTransaction,
CoinAccount,
CoinTransaction,
InviteCashTransaction,
WithdrawOrder,
)
from app.repositories import ad_ecpm
# 「最近活跃」计入的行为事件(与大盘 DAU/留存活跃口径一致:开始比价 + 开始领券)
_ACTIVE_EVENTS = (COMPARE_START_EVENT, COUPON_START_EVENT)
from app.models.wallet import CashTransaction, CoinAccount, CoinTransaction, WithdrawOrder
# 折算成可提现现金时,非广告金币来源的排除集(广告单独统计、人工调整不算"赚取")
_NON_TASK_BIZ_TYPES = ("reward_video", "feed_ad_reward", "admin_grant", "admin_deduct")
@@ -88,86 +76,6 @@ def offset_paginate(
return items, next_cursor, total
def _last_active_parts():
"""「最近活跃」的两个按 user_id 预聚合派生表(最近开始比价/领券事件、最近领券发起)。
活跃口径与大盘 DAU/留存一致(2026-07-05 产品定:进入 App≈登录 last_login_at +
发起比价 real_compare_start + 发起领券 real_coupon_start/claim_started)。
用 LEFT JOIN 预聚合而非相关标量子查询:后者在 PG 上对 users 每行各跑一个 SubPlan
(排序键、range 筛选、offset_paginate 的 count 三处叠加),埋点表大了会拖垮列表接口;
预聚合借 analytics_event.event 索引只扫两类 start 事件,每次查询聚合一次。
"""
ev_agg = (
select(
AnalyticsEvent.user_id.label("user_id"),
func.max(AnalyticsEvent.created_at).label("last_at"),
)
.where(
AnalyticsEvent.user_id.is_not(None),
AnalyticsEvent.event.in_(_ACTIVE_EVENTS),
)
.group_by(AnalyticsEvent.user_id)
.subquery()
)
eng_agg = (
select(
CouponPromptEngagement.user_id.label("user_id"),
func.max(CouponPromptEngagement.created_at).label("last_at"),
)
.where(
CouponPromptEngagement.user_id.is_not(None),
CouponPromptEngagement.engage_type == "claim_started",
)
.group_by(CouponPromptEngagement.user_id)
.subquery()
)
return ev_agg, eng_agg
def _norm_utc(dt: datetime | None) -> datetime | None:
"""naive 视为 UTC 补 tzinfo(SQLite 读回 naive、PG 读回 aware,混着 max() 会 TypeError)。"""
if dt is None:
return None
return dt if dt.tzinfo is not None else dt.replace(tzinfo=timezone.utc)
def _attach_last_active(db: Session, users: list[User]) -> None:
"""给本页用户瞬态挂 last_active_at(非 DB 列,供 AdminUserListItem from_attributes 读)。
口径同 [_last_active_expr];按本页 user_id 批量两次 GROUP BY,防 N+1。
"""
uids = [u.id for u in users]
if not uids:
return
ev_map = dict(
db.execute(
select(AnalyticsEvent.user_id, func.max(AnalyticsEvent.created_at))
.where(
AnalyticsEvent.user_id.in_(uids),
AnalyticsEvent.event.in_(_ACTIVE_EVENTS),
)
.group_by(AnalyticsEvent.user_id)
).all()
)
eng_map = dict(
db.execute(
select(CouponPromptEngagement.user_id, func.max(CouponPromptEngagement.created_at))
.where(
CouponPromptEngagement.user_id.in_(uids),
CouponPromptEngagement.engage_type == "claim_started",
)
.group_by(CouponPromptEngagement.user_id)
).all()
)
for u in users:
candidates = [
_norm_utc(u.last_login_at),
_norm_utc(ev_map.get(u.id)),
_norm_utc(eng_map.get(u.id)),
]
u.last_active_at = max((c for c in candidates if c is not None), default=None)
def list_users(
db: Session,
*,
@@ -179,34 +87,16 @@ def list_users(
created_to: datetime | None = None,
last_login_from: datetime | None = None,
last_login_to: datetime | None = None,
last_active_from: datetime | None = None,
last_active_to: datetime | None = None,
sort_by: str = "id",
sort_order: str = "desc",
limit: int = 20,
cursor: int | None = None,
) -> tuple[list[User], int | None, int]:
"""用户列表(admin 全量)。支持手机号前缀 / 渠道 / 状态 / 昵称模糊 / 注册·最近登录·最近活跃
时间范围筛选,按 id·注册时间·最近登录·最近活跃排序;每页附带计算列 last_active_at
(口径见 [_last_active_expr])。**offset 分页**(cursor=offset):任意列排序下游标语义统一,
"""用户列表(admin 全量)。支持手机号前缀 / 渠道 / 状态 / 昵称模糊 / 注册·最近登录时间范围筛选,
按 id·注册时间·最近登录排序。**offset 分页**(cursor=offset):任意列排序下游标语义统一,
代价是翻页期间数据变动可能错位一条——admin 低频场景可接受(同 [list_all_withdraw_orders])。
日期入参统一转 tz-aware UTC 比较(列为 timestamptz,见 _as_utc)。"""
# 最近活跃 = max(最近登录, 最近行为事件, 最近领券发起)。PG 用 GREATEST;SQLite 标量 max()
# 任一参数 NULL 即返回 NULL,故 LEFT JOIN 未命中侧 coalesce 到 last_login_at 兜底
# (注册即登录,该列恒非空)。派生表 1:1(按 user_id 聚合),outerjoin 不会放大行数,
# offset_paginate 的 count 不受影响。
ev_agg, eng_agg = _last_active_parts()
greatest = func.greatest if db.get_bind().dialect.name == "postgresql" else func.max
last_active = greatest(
User.last_login_at,
func.coalesce(ev_agg.c.last_at, User.last_login_at),
func.coalesce(eng_agg.c.last_at, User.last_login_at),
)
stmt = (
select(User)
.outerjoin(ev_agg, ev_agg.c.user_id == User.id)
.outerjoin(eng_agg, eng_agg.c.user_id == User.id)
)
stmt = select(User)
if phone:
stmt = stmt.where(User.phone.like(f"{phone}%")) # 前缀匹配
if register_channel:
@@ -223,25 +113,16 @@ def list_users(
stmt = stmt.where(User.last_login_at >= _as_utc(last_login_from))
if last_login_to is not None:
stmt = stmt.where(User.last_login_at <= _as_utc(last_login_to))
if last_active_from is not None:
stmt = stmt.where(last_active >= _as_utc(last_active_from))
if last_active_to is not None:
stmt = stmt.where(last_active <= _as_utc(last_active_to))
sort_cols = {
"id": User.id,
"created_at": User.created_at,
"last_login_at": User.last_login_at,
"last_active_at": last_active,
}
sort_col = sort_cols.get(sort_by, User.id)
order_fn = asc if sort_order == "asc" else desc
id_order = asc(User.id) if sort_order == "asc" else desc(User.id)
items, next_cursor, total = offset_paginate(
db, stmt, (order_fn(sort_col), id_order), limit=limit, cursor=cursor
)
_attach_last_active(db, items)
return items, next_cursor, total
return offset_paginate(db, stmt, (order_fn(sort_col), id_order), limit=limit, cursor=cursor)
def _attach_user_info(db: Session, records: list[ComparisonRecord | Feedback | PriceReport]) -> None:
@@ -267,14 +148,11 @@ def list_comparison_records(
phone: str | None = None,
status: str | None = None,
business_type: str | None = None,
store: str | None = None,
product: str | None = None,
limit: int = 20,
cursor: int | None = None,
) -> tuple[list[ComparisonRecord], int | None, int]:
"""admin 比价记录列表(debug)。按 user_id 精确 或 phone 前缀定位用户 + status/业务类型筛,
store(店名)/product(商品名)子串模糊匹配,offset 分页(创建时间倒序、id 兜底)。
join User 取 phone/nickname 瞬态挂记录上。"""
offset 分页(创建时间倒序、id 兜底)。join User 取 phone/nickname 瞬态挂记录上。"""
stmt = select(ComparisonRecord)
if user_id is not None:
stmt = stmt.where(ComparisonRecord.user_id == user_id)
@@ -288,22 +166,12 @@ def list_comparison_records(
stmt = stmt.where(ComparisonRecord.status == status)
if business_type:
stmt = stmt.where(ComparisonRecord.business_type == business_type)
if store:
stmt = stmt.where(ComparisonRecord.store_name.like(f"%{store}%"))
if product:
# 商品名搜 product_names 派生文本列(非 items JSON:SQLite 下 JSON 中文被转义无法直接 LIKE)。
stmt = stmt.where(ComparisonRecord.product_names.like(f"%{product}%"))
items, next_cursor, total = offset_paginate(
db, stmt,
(desc(ComparisonRecord.created_at), desc(ComparisonRecord.id)),
limit=limit, cursor=cursor,
)
_attach_user_info(db, items)
# 「本次比价看广告的预估收益」:按本页 trace_id 一次性聚合(同 _attach_user_info 逐页范式)。
# ad_revenue_yuan 非 ORM 列,仅瞬态挂实例上供 AdminComparisonListItem(from_attributes)读出。
rev = ad_ecpm.revenue_yuan_by_trace(db, [it.trace_id for it in items])
for it in items:
it.ad_revenue_yuan = rev.get(it.trace_id, 0.0)
return items, next_cursor, total
@@ -522,7 +390,6 @@ def list_all_withdraw_orders(
*,
user_id: int | None = None,
status: str | None = None,
source: str | None = None,
keyword: str | None = None,
date_from: datetime | None = None,
date_to: datetime | None = None,
@@ -542,9 +409,6 @@ def list_all_withdraw_orders(
stmt = stmt.where(WithdrawOrder.user_id == user_id)
if status:
stmt = stmt.where(WithdrawOrder.status == status)
# 提现类型:coin_cash(福利页提现)/ invite_cash(邀请提现);None=全部
if source:
stmt = stmt.where(WithdrawOrder.source == source)
kw = (keyword or "").strip()
if kw:
@@ -670,7 +534,6 @@ def list_feedbacks(
db: Session,
*,
status: str | None = None,
source: str | None = None,
user_id: int | None = None,
content: str | None = None,
created_from: datetime | None = None,
@@ -680,15 +543,13 @@ def list_feedbacks(
limit: int = 20,
cursor: int | None = None,
) -> tuple[list[Feedback], int | None, int]:
"""反馈工单列表。支持 状态 / 反馈类型(source) / 用户ID / 内容模糊 / 提交时间范围 筛选,
按 id·提交时间排序。**offset 分页**(cursor=offset):任意列排序下游标语义统一(同 [list_users]),
代价是翻页期间数据变动可能错位一条——admin 低频场景可接受。返回 (items, next_cursor, total),
total 供页码分页。created_at 为 timestamptz,日期入参统一转 tz-aware UTC 比较。"""
"""反馈工单列表。支持 状态 / 用户ID / 内容模糊 / 提交时间范围 筛选,按 id·提交时间排序。
**offset 分页**(cursor=offset):任意列排序下游标语义统一(同 [list_users]),代价是翻页期间
数据变动可能错位一条——admin 低频场景可接受。返回 (items, next_cursor, total),total 供页码分页。
created_at 为 timestamptz,日期入参统一转 tz-aware UTC 比较。"""
stmt = select(Feedback)
if status:
stmt = stmt.where(Feedback.status == status)
if source:
stmt = stmt.where(Feedback.source == source)
if user_id is not None:
stmt = stmt.where(Feedback.user_id == user_id)
if content and content.strip():
@@ -858,19 +719,26 @@ def withdraw_risk_flags(
return flags, score
def _check_withdraw_ledger_side(
orders: list[WithdrawOrder], txns: list, *, withdraw_biz: str, refund_biz: str
) -> dict:
"""对某一本账(普通现金 / 邀请奖励金)做提现单 ↔ 流水的交叉校验。
def withdraw_ledger_check(db: Session) -> dict:
cash_balance_total = int(
db.execute(select(func.coalesce(func.sum(CoinAccount.cash_balance_cents), 0))).scalar_one()
)
cash_txn_total = int(
db.execute(select(func.coalesce(func.sum(CashTransaction.amount_cents), 0))).scalar_one()
)
orders 已按 source 过滤到本账;txns 是本账流水表里 withdraw_biz/refund_biz 两类流水。
规则:每单发起应有一条扣款流水(ref_id=out_bill_no);失败/拒绝单应有且仅一条退款流水;
非退款终态不应出现退款流水。四个计数全为 0 即本账自洽。
"""
withdraw_refs = {txn.ref_id for txn in txns if txn.biz_type == withdraw_biz}
orders = list(db.execute(select(WithdrawOrder)).scalars().all())
cash_txns = list(
db.execute(
select(CashTransaction).where(
CashTransaction.biz_type.in_(("withdraw", "withdraw_refund"))
)
).scalars().all()
)
withdraw_refs = {txn.ref_id for txn in cash_txns if txn.biz_type == "withdraw"}
refund_counts: dict[str, int] = {}
for txn in txns:
if txn.biz_type == refund_biz and txn.ref_id:
for txn in cash_txns:
if txn.biz_type == "withdraw_refund" and txn.ref_id:
refund_counts[txn.ref_id] = refund_counts.get(txn.ref_id, 0) + 1
missing_withdraw = 0
@@ -885,95 +753,24 @@ def _check_withdraw_ledger_side(
if has_refund and order.status not in {"failed", "rejected"}:
refund_on_non_terminal += 1
return {
"missing_withdraw": missing_withdraw,
"missing_refund": missing_refund,
"duplicate_refund": sum(1 for count in refund_counts.values() if count > 1),
"refund_on_non_terminal": refund_on_non_terminal,
}
def withdraw_ledger_check(db: Session) -> dict:
"""现金账本校验:两本物理隔离的账各自对账(产品红线:coin_cash / invite_cash 不串)。
普通现金:CoinAccount.cash_balance_cents ↔ cash_transaction(withdraw/withdraw_refund);
邀请奖励金:CoinAccount.invite_cash_balance_cents ↔ invite_cash_transaction
(invite_withdraw/invite_withdraw_refund)。
提现单按 source 分流到对应账核对——邀请提现的流水写在 invite_cash_transaction 表,
绝不能拿去和普通现金流水比(否则每笔邀请提现单都会被误报「缺扣款/缺退款流水」)。
分流口径与 create_withdraw 一致:仅 source==invite_cash 走邀请账,其余(含历史空值)归普通现金。
"""
orders = list(db.execute(select(WithdrawOrder)).scalars().all())
coin_orders = [o for o in orders if o.source != "invite_cash"]
invite_orders = [o for o in orders if o.source == "invite_cash"]
# —— 普通现金账(coin_cash) ——
cash_balance_total = int(
db.execute(select(func.coalesce(func.sum(CoinAccount.cash_balance_cents), 0))).scalar_one()
)
cash_txn_total = int(
db.execute(select(func.coalesce(func.sum(CashTransaction.amount_cents), 0))).scalar_one()
)
cash_txns = list(
db.execute(
select(CashTransaction).where(
CashTransaction.biz_type.in_(("withdraw", "withdraw_refund"))
)
).scalars().all()
)
coin = _check_withdraw_ledger_side(
coin_orders, cash_txns, withdraw_biz="withdraw", refund_biz="withdraw_refund"
)
cash_diff = cash_balance_total - cash_txn_total
# —— 邀请奖励金账(invite_cash,独立账户 + 独立流水表) ——
invite_balance_total = int(
db.execute(
select(func.coalesce(func.sum(CoinAccount.invite_cash_balance_cents), 0))
).scalar_one()
)
invite_txn_total = int(
db.execute(
select(func.coalesce(func.sum(InviteCashTransaction.amount_cents), 0))
).scalar_one()
)
invite_txns = list(
db.execute(
select(InviteCashTransaction).where(
InviteCashTransaction.biz_type.in_(("invite_withdraw", "invite_withdraw_refund"))
)
).scalars().all()
)
invite = _check_withdraw_ledger_side(
invite_orders, invite_txns,
withdraw_biz="invite_withdraw", refund_biz="invite_withdraw_refund",
)
invite_diff = invite_balance_total - invite_txn_total
duplicate_refund = sum(1 for count in refund_counts.values() if count > 1)
diff = cash_balance_total - cash_txn_total
ok = (
cash_diff == 0
and invite_diff == 0
and all(v == 0 for v in coin.values())
and all(v == 0 for v in invite.values())
diff == 0
and missing_withdraw == 0
and missing_refund == 0
and duplicate_refund == 0
and refund_on_non_terminal == 0
)
return {
"ok": ok,
# 普通现金账(coin_cash:金币兑换的现金)
"cash_balance_total_cents": cash_balance_total,
"cash_transaction_total_cents": cash_txn_total,
"balance_diff_cents": cash_diff,
"missing_withdraw_txn_count": coin["missing_withdraw"],
"missing_refund_txn_count": coin["missing_refund"],
"duplicate_refund_txn_count": coin["duplicate_refund"],
"refund_txn_on_non_terminal_count": coin["refund_on_non_terminal"],
# 邀请奖励金账(invite_cash:与普通现金物理隔离,各自对账)
"invite_cash_balance_total_cents": invite_balance_total,
"invite_cash_transaction_total_cents": invite_txn_total,
"invite_balance_diff_cents": invite_diff,
"invite_missing_withdraw_txn_count": invite["missing_withdraw"],
"invite_missing_refund_txn_count": invite["missing_refund"],
"invite_duplicate_refund_txn_count": invite["duplicate_refund"],
"invite_refund_txn_on_non_terminal_count": invite["refund_on_non_terminal"],
"balance_diff_cents": diff,
"missing_withdraw_txn_count": missing_withdraw,
"missing_refund_txn_count": missing_refund,
"duplicate_refund_txn_count": duplicate_refund,
"refund_txn_on_non_terminal_count": refund_on_non_terminal,
}
@@ -1009,12 +806,6 @@ def get_user_overview(db: Session, user_id: int) -> dict | None:
}
def _as_utc_naive(value: datetime) -> datetime:
"""窗口入参 → UTC naive(= _as_utc 去时区),与库里按 naive UTC 存取的 created_at 同口径比较。
历史遗留:_window_conds 一直引用本函数却未定义(自定义区间会 NameError),此处补上。"""
return _as_utc(value).replace(tzinfo=None)
def _window_conds(col, date_from: datetime | None, date_to: datetime | None) -> list:
"""把 [date_from, date_to] 转成对 col(created_at)的过滤条件;都为 None = 全量(注册至今)。"""
conds = []
@@ -1104,13 +895,6 @@ def user_reward_stats(
}
def _cn_wall_to_utc(dt: datetime) -> datetime:
"""coin_transaction 存的是北京 wall-clock(naive,见 wallet.grant_coins「存北京 wall-clock」),转成 UTC naive,
与广告表(func.now() UTC)统一 —— 让本函数按同一绝对时刻排序、且前端 apiTime(把无时区时间当 UTC 再 +8 展示)
口径一致;否则签到会比实际多显示 8 小时(北京时间又被 +8)。"""
return dt.replace(tzinfo=rewards.CN_TZ).astimezone(timezone.utc).replace(tzinfo=None)
def user_coin_records(
db: Session,
user_id: int,
@@ -1131,9 +915,6 @@ def user_coin_records(
offset = max(cursor or 0, 0)
fetch = offset + limit + 1
rows: list[dict] = []
# coin_transaction 存北京 wall-clock(其余表存 UTC);签到窗口边界 +8h 对齐北京,过滤/计数才不偏移 8 小时
signin_from = date_from + timedelta(hours=8) if date_from is not None else None
signin_to = date_to + timedelta(hours=8) if date_to is not None else None
for rec in db.execute(
select(AdRewardRecord)
@@ -1177,7 +958,7 @@ def user_coin_records(
.where(
CoinTransaction.user_id == user_id,
CoinTransaction.biz_type == "signin",
*_window_conds(CoinTransaction.created_at, signin_from, signin_to),
*_window_conds(CoinTransaction.created_at, date_from, date_to),
)
.order_by(CoinTransaction.created_at.desc())
.limit(fetch)
@@ -1185,8 +966,7 @@ def user_coin_records(
rows.append({
"source": "signin",
"source_label": "签到",
# 北京 wall-clock → UTC,与广告记录统一(前端 apiTime 会 +8 回北京展示,不然签到会多 8 小时)
"created_at": _cn_wall_to_utc(rec.created_at),
"created_at": rec.created_at,
"ecpm": None,
"coin": rec.amount,
})
@@ -1212,7 +992,7 @@ def user_coin_records(
+ _count(
CoinTransaction, CoinTransaction.user_id == user_id,
CoinTransaction.biz_type == "signin",
*_window_conds(CoinTransaction.created_at, signin_from, signin_to),
*_window_conds(CoinTransaction.created_at, date_from, date_to),
)
)
return rows[offset:offset + limit], (offset + limit if has_more else None), total
+83 -324
View File
@@ -5,23 +5,17 @@ user.last_login_at / comparison_record.status / withdraw_order.status)要加索
"""
from __future__ import annotations
from collections import Counter
from datetime import date, datetime, time, timedelta, timezone
from decimal import ROUND_HALF_UP, Decimal, InvalidOperation
from decimal import Decimal, InvalidOperation
from sqlalchemy import case, func, select
from sqlalchemy import func, select
from sqlalchemy.orm import Session
from app.admin.repositories.coupon_data import _percentile
from app.models.ad_feed_reward import AdFeedRewardRecord
from app.models.ad_reward import AdRewardRecord
from app.models.analytics_event import AnalyticsEvent
from app.models.comparison import ComparisonRecord
from app.models.coupon_state import (
CouponClaimRecord,
CouponPromptEngagement,
CouponSession,
)
from app.models.coupon_state import CouponPromptEngagement
from app.models.cps_order import CpsOrder
from app.models.feedback import Feedback
from app.models.savings import SavingsRecord
@@ -30,17 +24,11 @@ from app.models.user import User
from app.models.wallet import CoinTransaction, WithdrawOrder
_BEIJING = timezone(timedelta(hours=8))
REWARD_VIDEO_BIZ_TYPES = ("reward_video", "ad_reward")
# 领券/比价奖励金币的真实来源是信息流广告发奖(ad_feed_reward_record,按 feed_scene 分场景);
# coin_transaction 里只有扁平的 feed_ad_reward、biz_type 不分 coupon/comparison,故这俩桶历史从未
# 被写入,仅留作未来兜底,实际金额在下方按 feed_scene 汇总 ad_feed_reward_record 得出。reward_video/
# ad_reward 是激励视频,单独成桶、不再混进领券奖励(历史误并会把激励视频金币双计进领券)。
COUPON_REWARD_BIZ_TYPES = ("coupon", "coupon_reward")
COUPON_REWARD_BIZ_TYPES = ("reward_video", "ad_reward", "coupon", "coupon_reward")
COMPARISON_REWARD_BIZ_TYPES = ("comparison", "compare_reward", "comparison_reward")
EXCLUDED_REWARD_BIZ_TYPES = ("invite_inviter", "invite_invitee", "admin_grant")
UNCLASSIFIED_FEED_BIZ_TYPES = ("feed_ad_reward",)
REGULAR_TASK_EXCLUDED_BIZ_TYPES = (
*REWARD_VIDEO_BIZ_TYPES,
*COUPON_REWARD_BIZ_TYPES,
*COMPARISON_REWARD_BIZ_TYPES,
*EXCLUDED_REWARD_BIZ_TYPES,
@@ -67,10 +55,29 @@ def _beijing_today_start_utc() -> datetime:
def today_dau(db: Session) -> int:
"""今日活跃用户数(DAU):登录 + 开始比价 + 开始领券,按用户去重。
= period_active_dau(今天, 今天);历史 / 多天窗口用 period_active_dau 传区间(广告收益报表复用)
广告收益报表复用这个函数;历史窗口 DAU dashboard_overview period 口径另算
"""
today_bj = datetime.now(_BEIJING).date()
return period_active_dau(db, today_bj, today_bj)
today_start = _beijing_today_start_utc()
tomorrow_start = today_start + timedelta(days=1)
login_user_ids = _id_set(
db,
select(User.id).where(User.last_login_at >= today_start, User.last_login_at < tomorrow_start),
)
compare_start_user_ids = _event_user_ids(
db, (COMPARE_START_EVENT,), today_start, tomorrow_start
)
coupon_event_user_ids = _event_user_ids(
db, (COUPON_START_EVENT,), today_start, tomorrow_start
)
coupon_claim_user_ids = _id_set(
db,
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date == today_bj,
CouponPromptEngagement.engage_type == "claim_started",
),
)
return len(login_user_ids | compare_start_user_ids | coupon_event_user_ids | coupon_claim_user_ids)
def _default_period_end() -> date:
@@ -109,23 +116,6 @@ 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}
@@ -144,56 +134,6 @@ def _event_user_ids(
)
def _period_active_user_ids(
db: Session,
*,
start_utc: datetime,
end_utc: datetime,
period_from: date,
period_to: date,
) -> set[int]:
"""区间去重活跃用户 id 集合:登录(last_login_at)+ 开始比价(real_compare_start)+
开始领券(real_coupon_start / claim_started)
user / analytics_event UTC aware 边界 [start_utc, end_utc);coupon_prompt_engagement
engage_date 是北京自然日 date , [period_from, period_to] 闭区间今日 / 历史 / 多天通用
"""
login_user_ids = _id_set(
db,
select(User.id).where(User.last_login_at >= start_utc, User.last_login_at < end_utc),
)
compare_start_user_ids = _event_user_ids(db, (COMPARE_START_EVENT,), start_utc, end_utc)
coupon_event_user_ids = _event_user_ids(db, (COUPON_START_EVENT,), start_utc, end_utc)
coupon_claim_user_ids = _id_set(
db,
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date >= period_from,
CouponPromptEngagement.engage_date <= period_to,
CouponPromptEngagement.engage_type == "claim_started",
),
)
return login_user_ids | compare_start_user_ids | coupon_event_user_ids | coupon_claim_user_ids
def period_active_dau(db: Session, date_from: date, date_to: date) -> int:
"""任意北京自然日区间 [date_from, date_to] 的去重活跃用户数。
与数据大盘 period.users.active 同口径(登录 + 开始比价 + 开始领券);广告收益报表按所选
日期区间(含今日)复用,ARPU = 区间预估收益 ÷ 本数全局口径,不随用户 / 类型 / 场景筛选变化
"""
period_from, period_to = _normalize_period(date_from, date_to)
start_utc, end_utc, _start_local, _end_local = _period_bounds(period_from, period_to)
return len(
_period_active_user_ids(
db,
start_utc=start_utc,
end_utc=end_utc,
period_from=period_from,
period_to=period_to,
)
)
def _commission_rate_percent(raw: str | None) -> Decimal | None:
"""美团 commissionRate 原值: "300"=3%, "10"=0.1%;也兼容 "3%""""
if raw is None:
@@ -259,46 +199,16 @@ def dashboard_overview(
ComparisonRecord.created_at >= start_local,
ComparisonRecord.created_at < end_local,
)
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_total = _count(ComparisonRecord, *period_comparison_conds)
period_comparison_success = _count(
ComparisonRecord,
*period_comparison_conds,
ComparisonRecord.status == "success",
)
period_comparison_success_rate = (
round(
period_comparison_success / period_comparison_success_denominator,
4,
)
if period_comparison_success_denominator > 0
else None
round(period_comparison_success / period_comparison_total, 4)
if period_comparison_total
else 0.0
)
period_saved_positive_count = _count(
ComparisonRecord,
@@ -329,47 +239,6 @@ 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)
@@ -392,19 +261,31 @@ def dashboard_overview(
period_new_user_ids = _user_id_set(
select(User.id).where(User.created_at >= start_utc, User.created_at < end_utc)
)
period_active_user_ids = _period_active_user_ids(
db,
start_utc=start_utc,
end_utc=end_utc,
period_from=period_from,
period_to=period_to,
login_user_ids = _user_id_set(
select(User.id).where(User.last_login_at >= start_utc, User.last_login_at < end_utc)
)
compare_start_user_ids = _event_user_ids(
db, (COMPARE_START_EVENT,), start_utc, end_utc
)
coupon_event_user_ids = _event_user_ids(
db, (COUPON_START_EVENT,), start_utc, end_utc
)
coupon_claim_user_ids = _user_id_set(
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date >= period_from,
CouponPromptEngagement.engage_date <= period_to,
CouponPromptEngagement.engage_type == "claim_started",
)
)
period_active_user_ids = (
login_user_ids | compare_start_user_ids | coupon_event_user_ids | coupon_claim_user_ids
)
period_retained_new_user_ids = period_new_user_ids & period_active_user_ids
period_retention_rate = (
round(len(period_retained_new_user_ids) / len(period_new_user_ids), 4)
if period_new_user_ids
else None
)
# 留存口径(2026-07-05 产品改):次日留存——窗口内每天 D,取 **D-1 日(前日)新增**用户,
# 统计其 D 日活跃(登录/开始比价/开始领券)比例,逐日累加。默认窗口=昨日单天,即
# 「前日新增用户的昨日留存」。原口径(窗口内新增∩窗口内活跃)在单日窗口下≈100% 无意义
# (注册即登录,当天新增必然当天活跃)。逐日 cohort 在下方 trend 循环内顺带累计。
retention_cohort_total = 0
retention_retained_total = 0
trend_points: list[dict] = []
for cur_date in _date_range(period_from, period_to):
day_start_utc, day_end_utc, day_start_local, day_end_local = _period_bounds(
@@ -414,26 +295,33 @@ def dashboard_overview(
ComparisonRecord.created_at >= day_start_local,
ComparisonRecord.created_at < day_end_local,
)
daily_active_user_ids = _period_active_user_ids(
db,
start_utc=day_start_utc,
end_utc=day_end_utc,
period_from=cur_date,
period_to=cur_date,
)
# 次日留存:cohort = 前一日(D-1)新增用户,留存 = 其中当日(D)活跃者(口径见上)。
cohort_ids = _user_id_set(
daily_login_user_ids = _user_id_set(
select(User.id).where(
User.created_at >= day_start_utc - timedelta(days=1),
User.created_at < day_end_utc - timedelta(days=1),
User.last_login_at >= day_start_utc,
User.last_login_at < day_end_utc,
)
)
daily_compare_start_user_ids = _event_user_ids(
db, (COMPARE_START_EVENT,), day_start_utc, day_end_utc
)
daily_coupon_event_user_ids = _event_user_ids(
db, (COUPON_START_EVENT,), day_start_utc, day_end_utc
)
daily_coupon_claim_user_ids = _user_id_set(
select(CouponPromptEngagement.user_id).where(
CouponPromptEngagement.engage_date == cur_date,
CouponPromptEngagement.engage_type == "claim_started",
)
)
retention_cohort_total += len(cohort_ids)
retention_retained_total += len(cohort_ids & daily_active_user_ids)
trend_points.append(
{
"date": cur_date,
"active_users": len(daily_active_user_ids),
"active_users": len(
daily_login_user_ids
| daily_compare_start_user_ids
| daily_coupon_event_user_ids
| daily_coupon_claim_user_ids
),
"new_users": _count(
User,
User.created_at >= day_start_utc,
@@ -442,11 +330,6 @@ def dashboard_overview(
"comparisons": _count(ComparisonRecord, *daily_comparison_conds),
}
)
period_retention_rate = (
round(retention_retained_total / retention_cohort_total, 4)
if retention_cohort_total
else None
)
period_coin_conds = (
CoinTransaction.created_at >= start_local,
@@ -456,7 +339,7 @@ def dashboard_overview(
period_reward_video_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(REWARD_VIDEO_BIZ_TYPES),
CoinTransaction.biz_type.in_(("reward_video", "ad_reward")),
)
period_feed_ad_coin_total = _sum(
CoinTransaction.amount,
@@ -478,29 +361,15 @@ def dashboard_overview(
*period_coin_conds,
CoinTransaction.biz_type.like("task_%"),
)
# 领券/比价奖励金币 = biz_type 桶(历史空,兜底)+ 该场景信息流广告实发金币
# (ad_feed_reward_record.feed_scene,granted;reward_date 是北京日期串,与 period 同自然日窗口)。
period_coupon_reward_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(COUPON_REWARD_BIZ_TYPES),
) + _sum(
AdFeedRewardRecord.coin,
AdFeedRewardRecord.status == "granted",
AdFeedRewardRecord.feed_scene == "coupon",
AdFeedRewardRecord.reward_date >= period_from.isoformat(),
AdFeedRewardRecord.reward_date <= period_to.isoformat(),
)
period_comparison_reward_coin_total = _sum(
CoinTransaction.amount,
*period_coin_conds,
CoinTransaction.biz_type.in_(COMPARISON_REWARD_BIZ_TYPES),
) + _sum(
AdFeedRewardRecord.coin,
AdFeedRewardRecord.status == "granted",
AdFeedRewardRecord.feed_scene == "comparison",
AdFeedRewardRecord.reward_date >= period_from.isoformat(),
AdFeedRewardRecord.reward_date <= period_to.isoformat(),
)
period_regular_task_coin_total = _sum(
CoinTransaction.amount,
@@ -544,98 +413,6 @@ def dashboard_overview(
else None
)
# ===== 领券核心数据(2026-07-05 产品新增)=====
# 数据源:coupon_session(一次领券一行,started_date 北京自然日)+ coupon_claim_record
# (一券/点位一天一条终态,claim_date 北京自然日)。点位与 session 不按 trace_id 关联——
# record_claims 更新路径不覆盖 trace_id(同设备同券同日重跑归第一次的 trace),按
# (device_id, 自然日) 桶关联才可靠;同桶多次发起共享同一份点位终态。
period_coupon_sessions = db.execute(
select(
CouponSession.device_id,
CouponSession.started_date,
CouponSession.status,
CouponSession.elapsed_ms,
).where(
CouponSession.started_date >= period_from,
CouponSession.started_date <= period_to,
# 只统计正式环境,同「领券数据」页默认口径(防 debug 包调试数据串台;
# 命中 ix_coupon_session_date_env)。点位表无 app_env 列,但点位指标只经
# 下方 prod session 触达的 (device, 日) 桶进入统计,随之收敛到 prod。
CouponSession.app_env == "prod",
)
).all()
coupon_started = len(period_coupon_sessions)
coupon_completed_elapsed = sorted(
s.elapsed_ms
for s in period_coupon_sessions
if s.status == "completed" and s.elapsed_ms is not None
)
# 点位桶:(device, 日) → (点位总数, 成功点位数)。成功口径与「我的」页累计领券一致
# (sum_claimed_count,2026-06-15 产品定):success + already_claimed(已领过=持有券)都算成功。
point_buckets: dict[tuple[str, date], tuple[int, int]] = {
(dev, d): (int(total), int(succ or 0))
for dev, d, total, succ in db.execute(
select(
CouponClaimRecord.device_id,
CouponClaimRecord.claim_date,
func.count(),
func.sum(
case(
(CouponClaimRecord.status.in_(("success", "already_claimed")), 1),
else_=0,
)
),
)
.where(
CouponClaimRecord.claim_date >= period_from,
# 上界放宽一天:跨零点场次(23:5x 发起)的点位 claim_date 落在发起日+1,
# 桶只经下方 session 触达的键参与计数,放宽不会引入无关数据。
CouponClaimRecord.claim_date <= period_to + timedelta(days=1),
)
.group_by(CouponClaimRecord.device_id, CouponClaimRecord.claim_date)
).all()
}
# 全部领成功的次数:completed 且其 (device, 日) 桶内点位全部成功(桶为空不算)。
coupon_all_success = 0
completed_bucket_totals: list[int] = []
session_bucket_keys: set[tuple[str, date]] = set()
for s in period_coupon_sessions:
key = (s.device_id, s.started_date)
if key not in point_buckets:
# 跨零点回退:发起日桶不存在(点位终态全部落在次日)时取 (device, 发起日+1)。
# 仅在发起日桶完全缺失时回退,避免抢占该设备次日 session 自己的桶。
next_key = (s.device_id, s.started_date + timedelta(days=1))
if next_key in point_buckets:
key = next_key
bucket = point_buckets.get(key)
if bucket is not None:
session_bucket_keys.add(key)
if s.status != "completed" or bucket is None:
continue
total, succ = bucket
completed_bucket_totals.append(total)
if total > 0 and succ == total:
coupon_all_success += 1
# 每次发起的应领点位数:取「完成过的领券」实际点位数的众数(done 帧会给所有点位终态,
# 完成场的点位数=当前配置的全量点位数;数据自校准,配置改点位数无需改代码)。本期无完成场
# 时给不出,点位成功率置空。
coupon_points_per_session = (
Counter(completed_bucket_totals).most_common(1)[0][0]
if completed_bucket_totals
else None
)
# 成功点位数:本期 session 触达过的 (device, 日) 桶内成功点位之和(桶级去重,同桶重试不重复计)。
coupon_point_success = sum(point_buckets[k][1] for k in session_bucket_keys)
# 点位成功率 = 成功点位数 / (发起数 × 应领点位数):中途退出未跑到的点位不产生记录,
# 但发起数×点位数把它们计入分母 → 视为失败,符合产品口径;重试会拉低该率(分母按次数计)。
coupon_point_success_rate = (
round(
min(1.0, coupon_point_success / (coupon_started * coupon_points_per_session)), 4
)
if coupon_started and coupon_points_per_session
else None
)
return {
"users": {
"total": _count(User),
@@ -651,7 +428,7 @@ def dashboard_overview(
"reward_video_coin_total": _sum(
CoinTransaction.amount,
CoinTransaction.amount > 0,
CoinTransaction.biz_type.in_(REWARD_VIDEO_BIZ_TYPES),
CoinTransaction.biz_type.in_(("reward_video", "ad_reward")),
),
"reward_video_watch_count": _count(
AdRewardRecord,
@@ -699,38 +476,20 @@ def dashboard_overview(
"users": {
"new": len(period_new_user_ids),
"active": len(period_active_user_ids),
"retained_new_users": retention_retained_total,
"retention_cohort": retention_cohort_total,
"retained_new_users": len(period_retained_new_user_ids),
"retention_rate": period_retention_rate,
"retention_note": (
"次日留存:窗口内每天取前一日新增用户,统计其当日活跃"
"(登录/开始比价/开始领券,按用户去重)比例,逐日累加;"
"默认窗口=昨日,即前日新增用户的昨日留存"
"口径:登录(last_login_at)+开始比价(real_compare_start)+"
"开始领券(real_coupon_start/claim_started),按用户去重"
),
},
"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,
"all_success": coupon_all_success,
"success_rate": (
round(coupon_all_success / coupon_started, 4) if coupon_started else None
),
"point_success": coupon_point_success,
"points_per_session": coupon_points_per_session,
"point_success_rate": coupon_point_success_rate,
"median_elapsed_ms": _percentile(coupon_completed_elapsed, 50),
},
"coins": {
"granted_total": _sum(CoinTransaction.amount, *period_coin_conds),
-1
View File
@@ -91,7 +91,6 @@ def get_ad_revenue_report(
daily=[AdRevenueDaily(**d) for d in result["daily"]],
hourly=[AdRevenueHourly(**h) for h in result["hourly"]],
type_stats={k: AdRevenueTypeStat(**v) for k, v in result["type_stats"].items()},
scene_stats={k: AdRevenueTypeStat(**v) for k, v in result["scene_stats"].items()},
dau=result["dau"],
total=result["total"],
truncated=result["truncated"],
+5 -74
View File
@@ -5,8 +5,6 @@ from fastapi import APIRouter, Depends, HTTPException, Request
from app.admin.audit import write_audit
from app.admin.deps import AdminDb, CurrentAdmin, get_client_ip, require_role
from app.admin.permissions import CUSTOM_ROLE, SUPER_ADMIN_ROLE, sanitize_pages
from app.admin.repositories import admin_role as role_repo
from app.admin.repositories import admin_user as admin_repo
from app.admin.schemas.admin import AdminCreateRequest, AdminUpdateRequest
from app.admin.schemas.auth import AdminOut
@@ -25,31 +23,9 @@ def _active_super_count(db: AdminDb) -> int:
)
def _validate_role(db: AdminDb, role: str) -> None:
"""角色必须是 super_admin / custom(自定义) / admin_role 表里已存在的角色,否则 400。"""
if role in (SUPER_ADMIN_ROLE, CUSTOM_ROLE):
return
role_repo.ensure_builtin_roles(db) # 空表(测试/全新库)兜底播种,再校验
if role_repo.get_role(db, role) is None:
raise HTTPException(status_code=400, detail=f"角色不存在: {role}")
def _clean_override(role: str, pages_override: list[str] | None) -> list[str] | None:
"""按最终角色算出该存的 pages_override:custom → 勾选集(过滤非法 key,可空列表);
custom None(切回普通角色即清空自定义页)"""
if role == CUSTOM_ROLE:
return sanitize_pages(pages_override)
return None
@router.get("", response_model=list[AdminOut], summary="管理员列表(含明文密码,super_admin 专属)")
@router.get("", response_model=list[AdminOut], summary="管理员列表")
def list_admins(db: AdminDb) -> list[AdminOut]:
out: list[AdminOut] = []
for a in admin_repo.list_admins(db):
item = AdminOut.model_validate(a)
item.password = a.plain_password # 明文:仅本 super_admin 专属路由下发,供权限管理页复看
out.append(item)
return out
return [AdminOut.model_validate(a) for a in admin_repo.list_admins(db)]
@router.post("", response_model=AdminOut, summary="创建管理员")
@@ -58,17 +34,12 @@ def create_admin(
) -> AdminOut:
if admin_repo.get_by_username(db, body.username) is not None:
raise HTTPException(status_code=409, detail="用户名已存在")
_validate_role(db, body.role)
override = _clean_override(body.role, body.pages_override)
new = admin_repo.create_admin(
db, username=body.username, password=body.password, role=body.role,
plain_password=body.password, # UI 建的账号留存明文,供权限管理页复看
pages_override=override,
db, username=body.username, password=body.password, role=body.role
)
write_audit(
db, admin, action="admin.create", target_type="admin", target_id=new.id,
detail={"username": new.username, "role": new.role, "pages_override": override},
ip=get_client_ip(request), commit=True,
detail={"username": new.username, "role": new.role}, ip=get_client_ip(request), commit=True,
)
return AdminOut.model_validate(new)
@@ -96,12 +67,8 @@ def update_admin(
if demotes_super and _active_super_count(db) <= 1:
raise HTTPException(status_code=400, detail="不能降级/禁用最后一个超级管理员")
if body.role is not None:
_validate_role(db, body.role)
changes: dict = {}
role_changed = body.role is not None and body.role != target.role
if role_changed:
if body.role is not None and body.role != target.role:
changes["role"] = {"before": target.role, "after": body.role}
target.role = body.role
if body.status is not None and body.status != target.status:
@@ -110,18 +77,6 @@ def update_admin(
if body.password is not None:
changes["password"] = "reset"
target.password_hash = hash_password(body.password)
target.plain_password = body.password # 同步留存明文,权限管理页复看保持一致
# 自定义可见页:按「最终角色」(target.role,已应用完角色变更)决定该存什么。
# - 切到/维持 custom 且传了 pages_override → 用勾选集;切到 custom 没传 → 清成空列表。
# - 切回普通角色 → 清空 override(_clean_override 返回 None)。
# - 角色没变、只传 pages_override(编辑现有 custom 用户的勾选)→ 也更新。
if role_changed or body.pages_override is not None:
new_override = _clean_override(target.role, body.pages_override)
if new_override != target.pages_override:
changes["pages_override"] = {"before": target.pages_override, "after": new_override}
target.pages_override = new_override
if not changes:
raise HTTPException(status_code=400, detail="无任何变更字段")
db.commit()
@@ -131,27 +86,3 @@ def update_admin(
detail=changes, ip=get_client_ip(request), commit=True,
)
return AdminOut.model_validate(target)
@router.delete("/{admin_id}", summary="删除管理员(带审计)")
def delete_admin(admin_id: int, request: Request, admin: CurrentAdmin, db: AdminDb) -> dict:
target = admin_repo.get_by_id(db, admin_id)
if target is None:
raise HTTPException(status_code=404, detail="管理员不存在")
if admin_id == admin.id:
raise HTTPException(status_code=400, detail="不能删除自己")
# 防自锁:删掉某个 active super_admin 前,确认后仍至少剩 1 个,否则进「零可用超管」死局。
if (
target.role == "super_admin"
and target.status == "active"
and _active_super_count(db) <= 1
):
raise HTTPException(status_code=400, detail="不能删除最后一个超级管理员")
username = target.username
db.delete(target)
db.commit()
write_audit(
db, admin, action="admin.delete", target_type="admin", target_id=admin_id,
detail={"username": username, "role": target.role}, ip=get_client_ip(request), commit=True,
)
return {"deleted": True}
-49
View File
@@ -1,49 +0,0 @@
"""admin 埋点健康度:埋点成功率 / 上报成功率 总览 + 趋势 + 下钻(只读)。"""
from __future__ import annotations
from datetime import datetime
from typing import Annotated
from fastapi import APIRouter, Depends, Query
from app.admin.deps import AdminDb, get_current_admin
from app.admin.repositories import analytics_health as repo
from app.admin.schemas.analytics_health import (
HealthBreakdownRow,
HealthMetrics,
HealthTrendPoint,
)
router = APIRouter(
prefix="/admin/api/analytics-health",
tags=["admin-analytics-health"],
dependencies=[Depends(get_current_admin)],
)
@router.get("/overview", response_model=HealthMetrics, summary="两段成功率总览")
def overview(
db: AdminDb,
date_from: Annotated[datetime, Query()],
date_to: Annotated[datetime, Query()],
) -> HealthMetrics:
return HealthMetrics(**repo.overview(db, date_from, date_to))
@router.get("/trend", response_model=list[HealthTrendPoint], summary="按北京天趋势")
def trend(
db: AdminDb,
date_from: Annotated[datetime, Query()],
date_to: Annotated[datetime, Query()],
) -> list[HealthTrendPoint]:
return [HealthTrendPoint(**p) for p in repo.trend(db, date_from, date_to)]
@router.get("/breakdown", response_model=list[HealthBreakdownRow], summary="按维度下钻")
def breakdown(
db: AdminDb,
date_from: Annotated[datetime, Query()],
date_to: Annotated[datetime, Query()],
dim: Annotated[str, Query(pattern="^(event|app_ver|oem)$")] = "event",
) -> list[HealthBreakdownRow]:
return [HealthBreakdownRow(**r) for r in repo.breakdown(db, date_from, date_to, dim)]
+4 -17
View File
@@ -6,8 +6,6 @@ import logging
from fastapi import APIRouter, Depends, HTTPException
from app.admin.deps import AdminDb, CurrentAdmin
from app.admin.permissions import CUSTOM_ROLE, sanitize_pages
from app.admin.repositories import admin_role as role_repo
from app.admin.repositories import admin_user as admin_repo
from app.admin.schemas.auth import AdminLoginRequest, AdminLoginResponse, AdminOut
from app.admin.security import create_admin_token
@@ -19,17 +17,6 @@ logger = logging.getLogger("shagua.admin.auth")
router = APIRouter(prefix="/admin/api/auth", tags=["admin-auth"])
def _admin_out_with_pages(admin, db: AdminDb) -> AdminOut: # noqa: ANN001
"""AdminOut + 有效可见页(前端左侧导航按此过滤)。
role=="custom" 用这个人的 pages_override(按人自定义,过滤悬空 key);其余走角色解析"""
out = AdminOut.model_validate(admin)
if admin.role == CUSTOM_ROLE:
out.pages = sanitize_pages(admin.pages_override)
else:
out.pages = role_repo.effective_pages_of(db, admin.role)
return out
@router.post(
"/login",
response_model=AdminLoginResponse,
@@ -52,10 +39,10 @@ def login(req: AdminLoginRequest, db: AdminDb) -> AdminLoginResponse:
return AdminLoginResponse(
access_token=token,
expires_in=expires_in,
admin=_admin_out_with_pages(admin, db),
admin=AdminOut.model_validate(admin),
)
@router.get("/me", response_model=AdminOut, summary="当前管理员(含有效可见页)")
def me(admin: CurrentAdmin, db: AdminDb) -> AdminOut:
return _admin_out_with_pages(admin, db)
@router.get("/me", response_model=AdminOut, summary="当前管理员")
def me(admin: CurrentAdmin) -> AdminOut:
return AdminOut.model_validate(admin)
+1 -4
View File
@@ -32,15 +32,12 @@ def list_comparison_records(
phone: Annotated[str | None, Query(description="手机号前缀")] = None,
status: Annotated[str | None, Query(pattern="^(success|failed|cancelled)$")] = None,
business_type: Annotated[str | None, Query()] = None,
store: Annotated[str | None, Query(description="店名子串模糊匹配")] = None,
product: Annotated[str | None, Query(description="商品名子串模糊匹配")] = None,
limit: Annotated[int, Query(ge=1, le=100)] = 20,
cursor: Annotated[int | None, Query()] = None,
) -> CursorPage[AdminComparisonListItem]:
items, next_cursor, total = queries.list_comparison_records(
db, user_id=user_id, phone=phone, status=status,
business_type=business_type, store=store, product=product,
limit=limit, cursor=cursor,
business_type=business_type, limit=limit, cursor=cursor,
)
return CursorPage(
items=[AdminComparisonListItem.model_validate(r) for r in items],
+2 -7
View File
@@ -55,14 +55,9 @@ def _item(db, key: str) -> ConfigItemOut:
raise HTTPException(status_code=404, detail="未知配置项")
@router.get("", response_model=list[ConfigItemOut], summary="所有可配项 + 当前值(不含 hidden)")
@router.get("", response_model=list[ConfigItemOut], summary="所有可配项 + 当前值")
def list_config(db: AdminDb) -> list[ConfigItemOut]:
# hidden 项(已下线/由专用页管理,如福利页任务·里程碑·看广告调参、首页轮播数据源)不在本页渲染。
return [
ConfigItemOut(**item)
for item in app_config.list_all(db)
if not CONFIG_DEFS[item["key"]].get("hidden")
]
return [ConfigItemOut(**item) for item in app_config.list_all(db)]
@router.patch("/{key}", response_model=ConfigItemOut, summary="改某项配置(带审计)")
-141
View File
@@ -1,141 +0,0 @@
"""admin「领券数据」看板:发起/完成数 + 领券耗时(均值 + P5/P50/P95/P99)+ 按天趋势 + 逐条明细。
任意已登录 admin 可看(只读)聚合逻辑在 app/admin/repositories/coupon_data.py
数据源 coupon_session(客户端 /api/v1/coupon/session 两段上报)
"""
from __future__ import annotations
from datetime import date as _date
from typing import Annotated
from fastapi import APIRouter, Depends, HTTPException, Query
from app.admin.deps import AdminDb, get_current_admin
from app.admin.repositories import coupon_data
from app.admin.schemas.coupon_data import (
CouponDataDaily,
CouponDataHourly,
CouponDataOut,
CouponDataRow,
CouponDataSummary,
CouponSlotRow,
CouponSlotsOut,
CouponUserRecordsOut,
)
from app.core.rewards import cn_today
router = APIRouter(
prefix="/admin/api/coupon-data",
tags=["admin-coupon-data"],
dependencies=[Depends(get_current_admin)],
)
# 区间最大跨度(天);超出拒绝,避免一次拉过多天拖垮接口(对齐广告收益报表)。
_MAX_RANGE_DAYS = 92
def _parse_day(value: str | None, *, field: str, default: _date) -> _date:
if value is None:
return default
try:
return _date.fromisoformat(value)
except ValueError as e:
raise HTTPException(status_code=422, detail=f"{field} 需为 YYYY-MM-DD") from e
@router.get(
"",
response_model=CouponDataOut,
summary="领券数据看板(发起/完成数 + 耗时分位 + 按天趋势 + 逐条明细)",
)
def get_coupon_data(
db: AdminDb,
date_from: Annotated[str | None, Query(description="起始日 北京 YYYY-MM-DD,默认今天")] = None,
date_to: Annotated[str | None, Query(description="结束日 北京 YYYY-MM-DD,闭区间,默认=date_from")] = None,
user: Annotated[str | None, Query(description="用户手机号/昵称模糊搜;不传=全部")] = None,
app_env: Annotated[str, Query(description="prod(默认) / dev / all(全部环境)")] = "prod",
status: Annotated[
list[str] | None,
Query(description="领券状态多选 started/completed/failed/abandoned;不传=全部"),
] = None,
granularity: Annotated[
str, Query(description="day=按天 / hour=按小时(北京);区间>1 天建议 day")
] = "day",
limit: Annotated[int, Query(ge=1, le=1000, description="每页条数(分页大小)")] = 500,
offset: Annotated[int, Query(ge=0, description="分页偏移(已跳过条数)=(页码-1)×每页条数")] = 0,
sort: Annotated[
str, Query(description="排序:time=发起时间倒序(默认) / elapsed=耗时倒序")
] = "time",
) -> CouponDataOut:
today = cn_today()
d_from = _parse_day(date_from, field="date_from", default=today)
d_to = _parse_day(date_to, field="date_to", default=d_from)
if d_to < d_from:
raise HTTPException(status_code=422, detail="date_to 不能早于 date_from")
if (d_to - d_from).days + 1 > _MAX_RANGE_DAYS:
raise HTTPException(status_code=422, detail=f"区间最长 {_MAX_RANGE_DAYS}")
# 报表默认只看 prod(对齐广告报表防串台口径);app_env=all 时不过滤、看全部环境。
env = None if app_env == "all" else app_env
result = coupon_data.coupon_data_report(
db, date_from=d_from.isoformat(), date_to=d_to.isoformat(),
user=user, app_env=env, statuses=status, granularity=granularity,
limit=limit, offset=offset, sort=sort,
)
return CouponDataOut(
date_from=d_from.isoformat(),
date_to=d_to.isoformat(),
summary=CouponDataSummary(**result["summary"]),
daily=[CouponDataDaily(**d) for d in result["daily"]],
hourly=[CouponDataHourly(**h) for h in result["hourly"]],
total=result["total"],
items=[CouponDataRow(**r) for r in result["items"]],
)
@router.get(
"/coupons",
response_model=CouponSlotsOut,
summary="按券成功率(coupon_id 粒度;成功/(成功+失败),skipped 排除,设备-天口径)",
)
def get_coupon_slots(
db: AdminDb,
date_from: Annotated[str | None, Query(description="起始日 北京 YYYY-MM-DD,默认今天")] = None,
date_to: Annotated[str | None, Query(description="结束日 北京 YYYY-MM-DD,闭区间,默认=date_from")] = None,
app_env: Annotated[str, Query(description="prod(默认) / dev / all(全部环境)")] = "prod",
) -> CouponSlotsOut:
today = cn_today()
d_from = _parse_day(date_from, field="date_from", default=today)
d_to = _parse_day(date_to, field="date_to", default=d_from)
if d_to < d_from:
raise HTTPException(status_code=422, detail="date_to 不能早于 date_from")
if (d_to - d_from).days + 1 > _MAX_RANGE_DAYS:
raise HTTPException(status_code=422, detail=f"区间最长 {_MAX_RANGE_DAYS}")
env = None if app_env == "all" else app_env
result = coupon_data.coupon_slot_report(
db, date_from=d_from.isoformat(), date_to=d_to.isoformat(), app_env=env
)
return CouponSlotsOut(
date_from=d_from.isoformat(),
date_to=d_to.isoformat(),
items=[CouponSlotRow(**r) for r in result["items"]],
)
@router.get(
"/user-records",
response_model=CouponUserRecordsOut,
summary="某用户全部领券记录(点手机号抽屉:领券次数 + 记录列表)",
)
def get_user_coupon_records(
db: AdminDb,
user_id: Annotated[int, Query(description="用户 id")],
limit: Annotated[int, Query(ge=1, le=500, description="最多返回条数")] = 100,
sort_by: Annotated[str, Query(description="兼容 UserRecordsDrawer 参数;固定按发起时间倒序")] = "created_at",
sort_order: Annotated[str, Query(description="兼容参数,忽略")] = "desc",
) -> CouponUserRecordsOut:
result = coupon_data.coupon_user_records(db, user_id=user_id, limit=limit)
return CouponUserRecordsOut(
items=[CouponDataRow(**r) for r in result["items"]],
total=result["total"],
)
-7
View File
@@ -36,8 +36,6 @@ def _ensure_pending(fb: Feedback) -> None:
def list_feedbacks(
db: AdminDb,
status: Annotated[str | None, Query()] = None,
# 反馈类型筛选:profile(普通反馈)/ comparison(比价反馈);None=全部
source: Annotated[str | None, Query(pattern="^(profile|comparison)$")] = None,
user_id: Annotated[int | None, Query()] = None,
content: Annotated[str | None, Query(max_length=100)] = None,
created_from: Annotated[datetime | None, Query()] = None,
@@ -50,7 +48,6 @@ def list_feedbacks(
items, next_cursor, total = queries.list_feedbacks(
db,
status=status,
source=source,
user_id=user_id,
content=content,
created_from=created_from,
@@ -104,7 +101,6 @@ def approve_feedback(
status="adopted",
reward_coins=payload.reward_coins,
review_note=payload.note,
admin_reply=payload.reply,
reviewed_by_admin_id=admin.id,
commit=False,
)
@@ -127,7 +123,6 @@ def approve_feedback(
"after": "adopted",
"reward_coins": payload.reward_coins,
"note": payload.note,
"reply": payload.reply,
},
ip=get_client_ip(request),
commit=False,
@@ -157,7 +152,6 @@ def reject_feedback(
status="rejected",
reject_reason=payload.reason,
review_note=payload.note,
admin_reply=payload.reply,
reviewed_by_admin_id=admin.id,
commit=False,
)
@@ -172,7 +166,6 @@ def reject_feedback(
"after": "rejected",
"reason": payload.reason,
"note": payload.note,
"reply": payload.reply,
},
ip=get_client_ip(request),
commit=False,
+3 -59
View File
@@ -8,7 +8,6 @@ from __future__ import annotations
from typing import Annotated
from fastapi import APIRouter, Depends, HTTPException, Query, Request
from pydantic import BaseModel
from app.admin.audit import write_audit
from app.admin.deps import AdminDb, get_client_ip, get_current_admin, require_role
@@ -19,17 +18,11 @@ from app.admin.schemas.ops_marquee_seed import (
OpsMarqueeSeedCreate,
OpsMarqueeSeedOut,
OpsMarqueeSeedUpdate,
OpsRealRecordItem,
OpsRealRecordsOut,
OpsSavingsFeedPreviewOut,
)
from app.models.admin import AdminUser
from app.models.ops_marquee_seed import OpsMarqueeSeed
from app.repositories import app_config, ops_marquee
class MarqueeModeUpdate(BaseModel):
mode: str # mixed / real / seed
from app.repositories import ops_marquee
router = APIRouter(
prefix="/admin/api/marquee-seeds",
@@ -59,58 +52,9 @@ def list_seeds(db: AdminDb) -> list[OpsMarqueeSeedOut]:
def preview_feed(
db: AdminDb,
limit: Annotated[int, Query(ge=1, le=30)] = 8,
mode: Annotated[str | None, Query(description="mixed/real/seed;不传=当前持久化模式")] = None,
) -> OpsSavingsFeedPreviewOut:
"""返回客户端实际会看到的 feed(真实记录会插队、种子随机抽取/金额随机/名字合成),供运营对效果。
mode 显式指定则预览该模式(**不改持久化配置**,供前端切换开关时实时预览);不传则用当前持久化模式
"""
if mode is not None and mode not in ops_marquee.FEED_MODES:
raise HTTPException(status_code=400, detail="mode 需为 mixed / real / seed")
return OpsSavingsFeedPreviewOut(items=ops_marquee.get_feed(db, limit=limit, mode=mode))
@router.get("/real-records", response_model=OpsRealRecordsOut, summary="分页浏览当前模式下可展示的记录(审核用)")
def list_real_records(
db: AdminDb,
mode: Annotated[str | None, Query(description="mixed/real/seed;不传=当前持久化模式")] = None,
offset: Annotated[int, Query(ge=0)] = 0,
limit: Annotated[int, Query(ge=1, le=50)] = 8,
) -> OpsRealRecordsOut:
"""分页列出**当前模式**下可在 app 轮播展示的全部记录(**不去重**):只真实=真实记录;只种子=各启用
种子按生成逻辑各出一行;混播=真实+种子 app 同口径洗牌+去连簇,固定种子翻页稳定能翻遍全部
item.user_id=0 表示种子行"""
if mode is not None and mode not in ops_marquee.FEED_MODES:
raise HTTPException(status_code=400, detail="mode 需为 mixed / real / seed")
items, total = ops_marquee.list_real_records(db, mode=mode, offset=offset, limit=limit)
return OpsRealRecordsOut(items=[OpsRealRecordItem(**it) for it in items], total=total)
# 注:/mode 两个端点须在 /{seed_id} 之前注册,否则 PATCH /mode 会被 /{seed_id} 抢先按 id 解析。
@router.get("/mode", summary="首页轮播数据源模式(mixed/real/seed)")
def get_feed_mode(db: AdminDb) -> dict:
"""当前轮播取数模式:mixed=真实优先+种子补位(默认)/ real=只真实 / seed=只种子·合成。"""
return {"mode": ops_marquee.get_feed_mode(db)}
@router.patch("/mode", summary="改首页轮播数据源模式(带审计)")
def set_feed_mode(
body: MarqueeModeUpdate,
request: Request,
admin: Annotated[AdminUser, Depends(require_role("operator"))],
db: AdminDb,
) -> dict:
if body.mode not in ops_marquee.FEED_MODES:
raise HTTPException(status_code=400, detail="mode 需为 mixed / real / seed")
before = ops_marquee.get_feed_mode(db)
app_config.set_value(db, "marquee_feed_mode", body.mode, admin_id=admin.id, commit=False)
write_audit(
db, admin, action="ops_marquee_seed.set_mode", target_type="config",
target_id="marquee_feed_mode", detail={"before": before, "after": body.mode},
ip=get_client_ip(request), commit=False,
)
db.commit()
return {"mode": body.mode}
"""返回客户端实际会看到的 feed(真实记录会插队、种子随机抽取/金额随机/名字合成),供运营对效果。"""
return OpsSavingsFeedPreviewOut(items=ops_marquee.get_feed(db, limit=limit))
@router.post("", response_model=OpsMarqueeSeedOut, summary="新增轮播种子(带审计)")
-129
View File
@@ -1,129 +0,0 @@
"""admin RBAC 角色管理(仅 super_admin):列角色 / 权限目录 / 增删改角色。均写审计。
角色 = 一组可见页面( app/admin/permissions.py)角色登录后台后左侧只展示其 pages 对应导航项
只有 super_admin(内建全权角色)能进本组端点(dependencies=require_role() 无参 = super_admin)
"""
from __future__ import annotations
from fastapi import APIRouter, Depends, HTTPException, Request
from sqlalchemy import func, select
from app.admin.audit import write_audit
from app.admin.deps import AdminDb, CurrentAdmin, get_client_ip, require_role
from app.admin.permissions import (
PERMISSION_CATALOG,
SUPER_ADMIN_ROLE,
effective_pages,
sanitize_pages,
)
from app.admin.repositories import admin_role as role_repo
from app.admin.schemas.role import (
PermissionGroup,
RoleCreateRequest,
RoleOut,
RoleUpdateRequest,
)
from app.models.admin import AdminUser
from app.models.admin_role import AdminRole
router = APIRouter(
prefix="/admin/api/roles",
tags=["admin-roles"],
dependencies=[Depends(require_role())], # 无参 = 仅 super_admin
)
def _usage_counts(db: AdminDb) -> dict[str, int]:
rows = db.execute(
select(AdminUser.role, func.count(AdminUser.id)).group_by(AdminUser.role)
).all()
return {r: c for r, c in rows}
def _to_out(role: AdminRole, usage: dict[str, int]) -> RoleOut:
return RoleOut(
id=role.id,
name=role.name,
label=role.label or role.name,
pages=effective_pages(role.name, role.pages),
is_builtin=role.is_builtin,
in_use=usage.get(role.name, 0),
)
@router.get("", response_model=list[RoleOut], summary="角色列表(含可见页 + 使用数)")
def list_roles(db: AdminDb) -> list[RoleOut]:
usage = _usage_counts(db)
return [_to_out(r, usage) for r in role_repo.list_roles(db)]
@router.get("/catalog", response_model=list[PermissionGroup], summary="页面权限目录(分组)")
def get_catalog() -> list[PermissionGroup]:
return [PermissionGroup(**g) for g in PERMISSION_CATALOG]
@router.post("", response_model=RoleOut, summary="新增角色(带审计)")
def create_role(
body: RoleCreateRequest, request: Request, admin: CurrentAdmin, db: AdminDb
) -> RoleOut:
name = body.name.strip()
if not name:
raise HTTPException(status_code=400, detail="角色名称不能为空")
if name == SUPER_ADMIN_ROLE:
raise HTTPException(status_code=400, detail="super_admin 为内建角色,不能新建")
if role_repo.get_role(db, name) is not None:
raise HTTPException(status_code=409, detail="角色名称已存在")
# 自定义角色:name(key)= label = 输入名称
role = role_repo.create_role(db, name=name, label=name, pages=body.pages)
write_audit(
db, admin, action="role.create", target_type="role", target_id=str(role.id),
detail={"name": name, "pages": role.pages}, ip=get_client_ip(request), commit=True,
)
return _to_out(role, _usage_counts(db))
@router.patch("/{role_id}", response_model=RoleOut, summary="改角色(展示名/可见页,带审计)")
def update_role(
role_id: int, body: RoleUpdateRequest, request: Request, admin: CurrentAdmin, db: AdminDb
) -> RoleOut:
role = db.get(AdminRole, role_id)
if role is None:
raise HTTPException(status_code=404, detail="角色不存在")
if role.is_builtin:
raise HTTPException(status_code=400, detail="内建角色「管理员」不可编辑")
new_label = body.label.strip() if body.label is not None else None
changes: dict = {}
if new_label and new_label != role.label:
changes["label"] = {"before": role.label, "after": new_label}
if body.pages is not None:
changes["pages"] = {"before": role.pages, "after": sanitize_pages(body.pages)}
if not changes:
raise HTTPException(status_code=400, detail="无任何变更字段")
# 只改展示名 + 可见页;key(name)不可变,故无需级联 admin_user.role
role_repo.update_role(db, role, label=new_label, pages=body.pages)
write_audit(
db, admin, action="role.update", target_type="role", target_id=str(role_id),
detail=changes, ip=get_client_ip(request), commit=True,
)
return _to_out(role, _usage_counts(db))
@router.delete("/{role_id}", summary="删角色(带审计;内建/在用不可删)")
def delete_role(role_id: int, request: Request, admin: CurrentAdmin, db: AdminDb) -> dict:
role = db.get(AdminRole, role_id)
if role is None:
raise HTTPException(status_code=404, detail="角色不存在")
if role.is_builtin:
raise HTTPException(status_code=400, detail="内建角色不可删除")
used = _usage_counts(db).get(role.name, 0)
if used > 0:
raise HTTPException(status_code=400, detail=f"该角色仍有 {used} 名管理员在用,请先改派再删")
name = role.name
role_repo.delete_role(db, role)
write_audit(
db, admin, action="role.delete", target_type="role", target_id=str(role_id),
detail={"name": name}, ip=get_client_ip(request), commit=True,
)
return {"deleted": True}
+1 -7
View File
@@ -42,12 +42,7 @@ def list_users(
created_to: Annotated[datetime | None, Query()] = None,
last_login_from: Annotated[datetime | None, Query()] = None,
last_login_to: Annotated[datetime | None, Query()] = None,
# 最近活跃(登录/发起比价/发起领券取最大,见 queries._last_active_expr)筛选与排序
last_active_from: Annotated[datetime | None, Query()] = None,
last_active_to: Annotated[datetime | None, Query()] = None,
sort_by: Annotated[
str, Query(pattern="^(id|created_at|last_login_at|last_active_at)$")
] = "id",
sort_by: Annotated[str, Query(pattern="^(id|created_at|last_login_at)$")] = "id",
sort_order: Annotated[str, Query(pattern="^(asc|desc)$")] = "desc",
limit: Annotated[int, Query(ge=1, le=100)] = 20,
cursor: Annotated[int | None, Query()] = None,
@@ -56,7 +51,6 @@ def list_users(
db, phone=phone, register_channel=register_channel, status=status,
nickname=nickname, created_from=created_from, created_to=created_to,
last_login_from=last_login_from, last_login_to=last_login_to,
last_active_from=last_active_from, last_active_to=last_active_to,
sort_by=sort_by, sort_order=sort_order, limit=limit, cursor=cursor,
)
return CursorPage(
-3
View File
@@ -50,8 +50,6 @@ def list_withdraws(
db: AdminDb,
user_id: Annotated[int | None, Query()] = None,
status: Annotated[str | None, Query()] = None,
# 提现类型筛选:coin_cash(福利页提现)/ invite_cash(邀请提现);None=全部
source: Annotated[str | None, Query(pattern="^(coin_cash|invite_cash)$")] = None,
keyword: Annotated[str | None, Query(max_length=100)] = None,
date_from: Annotated[datetime | None, Query()] = None,
date_to: Annotated[datetime | None, Query()] = None,
@@ -71,7 +69,6 @@ def list_withdraws(
db,
user_id=user_id,
status=status,
source=source,
keyword=keyword,
date_from=date_from,
date_to=date_to,
+1 -22
View File
@@ -94,11 +94,6 @@ class AdRevenueRow(BaseModel):
impressions: int = Field(..., description="本行展示条数:有展示=1 / 纯发奖=0(供日汇总、趋势图复用)")
ecpm: str | None = Field(None, description="eCPM 原始值(分/千次);展示行取展示值,纯发奖行取发奖采用值")
revenue_yuan: float = Field(..., description="本次展示预估收益(元)= eCPM元 ÷ 1000;纯发奖行=0")
row_revenue_yuan: float | None = Field(
None,
description="主表逐行展示用的预估收益(元):一次比价/领券聚合行=该次发奖广告 eCPM 折算之和;"
"其它行为空(前端回退取 revenue_yuan)。不进合计/趋势,避免与展示侧重复计",
)
adn: str | None = Field(None, description="实际填充 ADN 子渠道(pangle/gdt…);纯发奖行为空")
slot_id: str | None = Field(None, description="底层 mediation rit(非我们配置的广告位 ID);纯发奖行为空")
# ── 发奖侧 ──
@@ -111,15 +106,6 @@ class AdRevenueRow(BaseModel):
None,
description="发奖复算明细(eCPM/因子1/份数/LT/因子2/应发/实发/一致);点行展开下钻用,纯展示为空",
)
sub_rewards: list[AdRevenueRecord] = Field(
default_factory=list,
description="一次比价/领券聚合行的组内逐条发奖明细(同一整场 ad_session_id 的多条广告);"
"点行展开渲染多行。激励视频/纯展示行为空(单条看 reward_detail)",
)
sub_count: int = Field(
1,
description="本行聚合的发奖条数:一次比价/领券=该次广告条数(≥1);激励视频/纯展示=1",
)
class AdRevenueReportOut(BaseModel):
@@ -136,16 +122,9 @@ class AdRevenueReportOut(BaseModel):
default_factory=dict,
description="按广告类型(ad_type)小计 {ad_type: {impressions, revenue_yuan}};前端取 draw / reward_video 做分类大盘",
)
scene_stats: dict[str, AdRevenueTypeStat] = Field(
default_factory=dict,
description="按信息流场景(feed_scene)小计 {comparison/coupon/welfare: {impressions, revenue_yuan}};"
"全量统计(不受分页截断),供数据大盘「领券广告 / 比价广告」卡;feed_scene 为空的事件不计入",
)
dau: int | None = Field(
None,
description="所选日期区间的去重活跃用户数(口径同数据大盘 period.users.active:登录 + 开始比价 + "
"开始领券)。按 date_from~date_to 区间统计,含今日、近 7 天、近 30 天等任意区间;全局口径,"
"不随 user_id / ad_type / feed_scene / app_env 筛选变化",
description="今日活跃用户数(复用大盘口径,last_login_at);**仅查询=今日单天时有值**,历史/多天为 null",
)
total: int = Field(..., description="广告事件总数(全量,不受分页影响;= 当前筛选下的分页总条数)")
truncated: bool = Field(..., description="当前页之后是否还有更多事件(len(events) > offset + limit)")
+4 -8
View File
@@ -6,25 +6,21 @@ from typing import Literal
from pydantic import BaseModel, ConfigDict, Field
# 角色不再硬编码枚举:改为任意角色名(自定义角色由 admin_role 表管理),存在性在路由层校验。
_Role = Literal["super_admin", "finance", "operator"]
class AdminCreateRequest(BaseModel):
username: str = Field(..., min_length=3, max_length=64)
password: str = Field(..., min_length=8, max_length=72) # bcrypt ≤72 字节
role: str = Field("operator", min_length=1, max_length=32)
# 仅当 role == "custom":这个人专属可见页 key 列表(逐页勾选结果)。其余角色不传/忽略。
pages_override: list[str] | None = None
role: _Role = "operator"
class AdminUpdateRequest(BaseModel):
"""改角色 / 启用禁用 / 重置密码 / 自定义可见页,字段都可选(只改传了的)。"""
"""改角色 / 启用禁用 / 重置密码,字段都可选(只改传了的)。"""
role: str | None = Field(None, min_length=1, max_length=32)
role: _Role | None = None
status: Literal["active", "disabled"] | None = None
password: str | None = Field(None, min_length=8, max_length=72)
# 改成/更新「自定义」可见页;role 切回普通角色时后端会清空 override(见路由)。
pages_override: list[str] | None = None
class AdminAuditLogOut(BaseModel):
-21
View File
@@ -1,21 +0,0 @@
"""埋点健康度 admin 响应 schema。"""
from __future__ import annotations
from pydantic import BaseModel
class HealthMetrics(BaseModel):
attempted: int
drop_capture: int
delivered: int
drop_undelivered: int
track_success_rate: float | None
report_success_rate: float | None
class HealthTrendPoint(HealthMetrics):
day: str
class HealthBreakdownRow(HealthMetrics):
key: str
-9
View File
@@ -20,15 +20,6 @@ class AdminOut(BaseModel):
status: str
created_at: datetime
last_login_at: datetime | None = None
# 该管理员当前角色的有效可见页(= 左侧导航项 key);仅登录 / /me 填充,列表接口默认空。
# 前端据此过滤左侧导航(super_admin = 全部页;role=="custom" = pages_override)。见 permissions.py。
pages: list[str] = []
# 「自定义」可见页原始勾选集(role=="custom" 时非空);列表接口下发,供权限管理页编辑回填勾选。
# 普通角色为 None。from_attributes 自动从 ORM 列取。
pages_override: list[str] | None = None
# 明文登录密码:仅「管理员账号列表」(super_admin 专属路由)填充,供权限管理页编辑时复看;
# 无留存(脚本建的超管 / 旧账号)为 None → 前端不显示。登录 / /me 不下发(保持 None)。
password: str | None = None
class AdminLoginResponse(BaseModel):
-6
View File
@@ -23,7 +23,6 @@ class AdminComparisonListItem(BaseModel):
status: str
information: str | None = None
store_name: str | None = None
product_names: str | None = None # 下单商品名派生串(顿号分隔;「商品」列展示 + 商品搜索)
source_platform_name: str | None = None
best_platform_name: str | None = None
source_price_cents: int | None = None
@@ -36,14 +35,11 @@ class AdminComparisonListItem(BaseModel):
retry_count: int | None = None
input_tokens: int | None = None # Σ usage.prompt_tokens(server 派生)
output_tokens: int | None = None # Σ usage.completion_tokens(server 派生)
# 本次比价 LLM 总成本(元,按当时价冻结);旧记录/未回填为 None → 前端「成本」列回退估算。见 services/llm_cost.py。
llm_cost_yuan: float | None = None
device_model: str | None = None
rom_vendor: str | None = None
rom_name: str | None = None
android_version: str | None = None
app_version: str | None = None
ad_revenue_yuan: float = 0.0 # 本次比价看的信息流广告预估收益(元),queries 瞬态挂 ORM 实例上
created_at: datetime
@@ -74,5 +70,3 @@ class AdminComparisonDetail(AdminComparisonListItem):
# 原始上报全量;「卡在哪一步」从 raw_payload.platform_results[*].status 读
# (store_not_found/items_not_found/below_minimum/unsupported = 卡在 找店/加菜/起送/读价)。
raw_payload: dict | None = None
# 算成本所用单价快照 {mode, prices:{model:{...}}}(llm_cost_yuan 继承自列表项)。见 services/llm_cost.py。
llm_price_snapshot: dict | None = None
-116
View File
@@ -1,116 +0,0 @@
"""admin「领券数据」看板 schemas:汇总卡 + 按天/小时趋势 + 逐条领券明细。
数据源 coupon_session(一次领券一行)耗时单位 ms(前端按需折秒);均值/分位只统计 completed
"""
from __future__ import annotations
from datetime import datetime
from pydantic import BaseModel, Field
class CouponDataSummary(BaseModel):
"""汇总卡:发起/完成数 + 耗时均值与分位(P5/P50/P95/P99,基于 completed 的 elapsed_ms)。"""
started_count: int = Field(..., description="发起数(区间内所有领券 session)")
completed_count: int = Field(..., description="完成数(status=completed)")
avg_elapsed_ms: int | None = Field(None, description="平均耗时(ms,仅 completed;无数据为空)")
p5_ms: int | None = Field(None, description="耗时 5 分位(ms)")
p50_ms: int | None = Field(None, description="耗时 50 分位(ms,中位数)")
p95_ms: int | None = Field(None, description="耗时 95 分位(ms)")
p99_ms: int | None = Field(None, description="耗时 99 分位(ms)")
# 平台粒度成功率(见 docs/guides/领券成功率指标-设计与埋点.md):基数含全部 session。
full_success_count: int = Field(0, description="整单成功数(勾选平台全部领到的 session 数)")
full_success_rate: float | None = Field(None, description="整单成功率②=整单成功数/发起数;无数据为空")
point_success_count: int = Field(0, description="成功平台点位数(Σ 每次成功的平台数)")
point_total_count: int = Field(0, description="总平台点位数(Σ 每次勾选平台数;空勾选=全领三档)")
point_success_rate: float | None = Field(None, description="点位成功率③=成功点位/总点位;无数据为空")
per_platform: dict[str, float | None] = Field(
default_factory=dict,
description="分平台点位成功率 {平台id: rate|None};恒含美团/淘宝/京东三档,区间内无人勾选的平台为 None",
)
class CouponDataDaily(BaseModel):
"""按天趋势(全量,不受分页影响):柱=发起/完成数,线=平均耗时。"""
date: str = Field(..., description="北京时间 YYYY-MM-DD")
started_count: int
completed_count: int
avg_elapsed_ms: int | None = Field(None, description="当天平均耗时(ms,仅 completed)")
class CouponDataHourly(BaseModel):
"""按北京小时(023)趋势(单日 granularity=hour 时非空)。"""
hour: int = Field(..., description="北京时间小时 023")
started_count: int
completed_count: int
avg_elapsed_ms: int | None = None
class CouponDataRow(BaseModel):
"""一条领券明细(一次领券任务)。"""
id: int = Field(..., description="coupon_session 主键(抽屉 rowKey 用)")
trace_id: str
user_id: int | None = None
user_phone: str | None = Field(None, description="手机号(admin 展示;匿名领券/查不到为空)")
user_nickname: str | None = Field(None, description="昵称")
status: str = Field(..., description="started / completed / failed / abandoned")
platforms: list[str] | None = Field(None, description="发起勾选平台")
origin_package: str | None = Field(None, description="发起来源 App 包名;null=App 内(傻瓜比价首页)发起")
elapsed_ms: int | None = Field(None, description="全程耗时(ms)")
platform_elapsed: dict[str, int] | None = Field(
None, description="各平台耗时 {meituan-waimai/taobao-shanguang/jd-waimai: ms}"
)
device_model: str | None = None
rom: str | None = None
app_env: str | None = None
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 | 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",
)
class CouponDataOut(BaseModel):
"""领券数据看板响应:汇总卡 + 趋势 + 明细分页。"""
date_from: str
date_to: str
summary: CouponDataSummary
daily: list[CouponDataDaily] = Field(default_factory=list, description="按天趋势(全量)")
hourly: list[CouponDataHourly] = Field(
default_factory=list, description="按小时趋势(单日 hour 粒度时非空)"
)
total: int = Field(..., description="明细总条数(全量,不受分页)")
items: list[CouponDataRow] = Field(..., description="逐条领券明细(当前页)")
class CouponUserRecordsOut(BaseModel):
"""某用户全部领券记录(点手机号抽屉用):total=该用户领券总次数,items=记录列表(UserRecordsDrawer 渲染)。"""
items: list[CouponDataRow]
total: int
class CouponSlotRow(BaseModel):
"""按券成功率一行(§13):粒度=设备-天;成功率=成功/(成功+失败),skipped 排除。"""
coupon_id: str
coupon_name: str | None = None
platform: str | None = Field(None, description="美团/淘宝/京东 平台 id;无法识别为空")
tried: int = Field(..., description="尝试数(success+already_claimed+failed 的设备-天数)")
succeeded: int = Field(..., description="成功数(success+already_claimed)")
success_rate: float | None = Field(None, description="成功率=成功/尝试")
class CouponSlotsOut(BaseModel):
"""按券成功率表响应(§13)。"""
date_from: str
date_to: str
items: list[CouponSlotRow]
+1 -28
View File
@@ -43,44 +43,18 @@ class DashboardComparison(BaseModel):
class DashboardPeriodUsers(BaseModel):
new: int
active: int
# 次日留存(2026-07-05 起):retained_new_users = 窗口内逐日「前一日新增且当日活跃」用户数之和,
# retention_cohort = 对应的前一日新增基数之和,retention_rate = 两者之比。
retained_new_users: int
retention_cohort: int = 0
retention_rate: float | None = None
retention_note: str
class DashboardPeriodComparison(BaseModel):
total: int
completed: int
cancelled: int
success: int
success_rate: float | None = None
success_rate: float
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):
"""领券核心数据(2026-07-05 产品新增)。点位=一张券(coupon_claim_record 一天一条终态);
成功口径 success+already_claimed(我的页累计领券一致)"""
started: 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
# 本期 session 触达的点位中成功的条数(同设备同日去重)
point_success: int = 0
# 每次发起的应领点位数(本期完成场实际点位数的众数;无完成场为空)
points_per_session: int | None = None
# 点位成功率 = point_success / (started × points_per_session);未跑到的点位计入分母视为失败
point_success_rate: float | None = None
# 耗时中位数(仅 completed 的 elapsed_ms,同「领券数据」页口径)
median_elapsed_ms: int | None = None
class DashboardPeriodCoins(BaseModel):
@@ -111,7 +85,6 @@ class DashboardPeriod(BaseModel):
date_to: date
users: DashboardPeriodUsers
comparison: DashboardPeriodComparison
coupon: DashboardPeriodCoupon = DashboardPeriodCoupon()
coins: DashboardPeriodCoins
cash: DashboardPeriodCash
trend: list[DashboardTrendPoint] = []
+1 -9
View File
@@ -15,17 +15,11 @@ class FeedbackOut(BaseModel):
user_id: int
content: str
contact: str
# 反馈来源入口:profile(「我的」页)/ comparison(比价结果页)——admin 展示/筛选「反馈类型」
source: str = "profile"
# 比价反馈的问题场景(找错商品/优惠不对…);普通反馈为 None
scene: str | None = None
images: list[str] | None = None
status: str
reject_reason: str | None = None
reward_coins: int | None = None
review_note: str | None = None
# 运营给用户的回复留言(用户端可见,采纳/未采纳都可填)
admin_reply: str | None = None
reviewed_by_admin_id: int | None = None
reviewed_at: datetime | None = None
created_at: datetime
@@ -45,14 +39,12 @@ class FeedbackApproveRequest(BaseModel):
le=FEEDBACK_REWARD_MAX_COINS,
description="采纳后发放金币数",
)
note: str | None = Field(default=None, max_length=256, description="采纳要点/审核备注(内部)")
reply: str | None = Field(default=None, max_length=256, description="给用户的回复留言,用户端可见")
note: str | None = Field(default=None, max_length=256, description="采纳要点/审核备注")
class FeedbackRejectRequest(BaseModel):
reason: str = Field(min_length=1, max_length=256, description="未采纳原因,用户端可见")
note: str | None = Field(default=None, max_length=256, description="运营内部审核备注")
reply: str | None = Field(default=None, max_length=256, description="给用户的回复留言,用户端可见")
class FeedbackSummary(BaseModel):
-13
View File
@@ -62,16 +62,3 @@ class OpsSavingsFeedPreviewItem(BaseModel):
class OpsSavingsFeedPreviewOut(BaseModel):
"""运营预览:实际混播出来的 feed(真实记录会插队,与客户端一致)。"""
items: list[OpsSavingsFeedPreviewItem]
class OpsRealRecordItem(BaseModel):
masked_user: str # 脱敏后展示名(与 app 一致)
saved_amount_cents: int # 节省金额(分)
created_at: str # 比价记录时间(YYYY-MM-DD HH:MM)
user_id: int # 真实 user_id(供运营核对,不下发客户端)
class OpsRealRecordsOut(BaseModel):
"""分页浏览「全部可展示的真实记录」(success+省>0,不去重、稳定顺序)。"""
items: list[OpsRealRecordItem]
total: int # 满足条件的真实记录总数(算页数用)
-35
View File
@@ -1,35 +0,0 @@
"""admin RBAC 角色 + 权限目录 schemas。"""
from __future__ import annotations
from pydantic import BaseModel, Field
class PermissionPage(BaseModel):
key: str
label: str
class PermissionGroup(BaseModel):
group: str
pages: list[PermissionPage]
class RoleOut(BaseModel):
id: int
name: str # 角色 key(承重,不可变)
label: str # 展示名(UI 显示)
pages: list[str] # 有效可见页 key(super_admin = 全部页)
is_builtin: bool # 内建角色(super_admin):不可编辑/删除
in_use: int # 使用该角色的管理员数(删除前端提示 / 拦截用)
class RoleCreateRequest(BaseModel):
# 新增自定义角色:name 即用户输入的名称(同时作 key 与展示名)
name: str = Field(..., min_length=1, max_length=32)
pages: list[str] = Field(default_factory=list)
class RoleUpdateRequest(BaseModel):
# 只改展示名 + 可见页;key 不可变
label: str | None = Field(None, min_length=1, max_length=32)
pages: list[str] | None = None
-4
View File
@@ -17,12 +17,8 @@ class AdminUserListItem(BaseModel):
status: str
debug_trace_enabled: bool = False
wechat_openid: str | None = None
wechat_nickname: str | None = None
created_at: datetime
last_login_at: datetime
# 最近活跃 = max(最近登录, 最近发起比价, 最近发起领券);列表页由 queries._attach_last_active
# 瞬态挂上。其他复用本 schema 的入口(用户 360 等)没挂该属性 → None(前端显示 '-')。
last_active_at: datetime | None = None
class AdminUserOverview(BaseModel):
-11
View File
@@ -41,8 +41,6 @@ class WithdrawOrderOut(BaseModel):
user_id: int
out_bill_no: str
amount_cents: int
# 提现类型:coin_cash(福利页提现,金币兑换的现金)/ invite_cash(邀请提现,邀请奖励金)
source: str = "coin_cash"
user_name: str | None = None # 提现实名(审核核对 + 打款用)
status: str
wechat_state: str | None = None
@@ -130,7 +128,6 @@ class WithdrawBulkResult(BaseModel):
class WithdrawLedgerCheckOut(BaseModel):
ok: bool
# 普通现金账(coin_cash:金币兑换的现金)
cash_balance_total_cents: int
cash_transaction_total_cents: int
balance_diff_cents: int
@@ -138,14 +135,6 @@ class WithdrawLedgerCheckOut(BaseModel):
missing_refund_txn_count: int
duplicate_refund_txn_count: int
refund_txn_on_non_terminal_count: int
# 邀请奖励金账(invite_cash:与普通现金物理隔离,各自对账)。默认 0 向后兼容。
invite_cash_balance_total_cents: int = 0
invite_cash_transaction_total_cents: int = 0
invite_balance_diff_cents: int = 0
invite_missing_withdraw_txn_count: int = 0
invite_missing_refund_txn_count: int = 0
invite_duplicate_refund_txn_count: int = 0
invite_refund_txn_on_non_terminal_count: int = 0
class WxpayHealthCheckOut(BaseModel):
-24
View File
@@ -54,29 +54,5 @@ def get_current_user(
return user
def get_current_user_optional(
credentials: Annotated[HTTPAuthorizationCredentials | None, Depends(_bearer)],
db: Annotated[Session, Depends(get_db)],
) -> User | None:
"""软鉴权:有合法 Bearer 就返回 user,否则(无 header / 无效 token / 用户禁用)一律返回
None,** raise**
比价 step / finalize 灰度期用:新客户端带 JWT 拿到 user_id 绑定 harvest ;
老客户端(不带 JWT) None,harvest user_id 暂空,由其后续 /compare/record 上报补齐
等新版覆盖率够高,再把这几条端点从软鉴权收紧成硬 get_current_user
"""
if credentials is None or credentials.scheme.lower() != "bearer":
return None
try:
payload = decode_token(credentials.credentials, expected_type="access")
user = db.get(User, int(payload["sub"]))
except (TokenError, KeyError, ValueError, TypeError):
return None
if user is None or user.status != "active":
return None
return user
CurrentUser = Annotated[User, Depends(get_current_user)]
OptionalUser = Annotated[User | None, Depends(get_current_user_optional)]
DbSession = Annotated[Session, Depends(get_db)]
-1
View File
@@ -286,7 +286,6 @@ def ecpm_report(payload: EcpmReportIn, user: CurrentUser, db: DbSession) -> Ecpm
ad_session_id=payload.ad_session_id,
adn=payload.adn, slot_id=payload.slot_id,
feed_scene=payload.feed_scene,
trace_id=payload.trace_id,
app_env=payload.app_env, our_code_id=payload.our_code_id,
)
logger.info(
+1 -16
View File
@@ -6,18 +6,13 @@ POST /api/v1/analytics/events — 批量接收新手引导(及后续)埋点,appe
"""
from __future__ import annotations
import logging
from fastapi import APIRouter, HTTPException, Request
from fastapi import APIRouter, Request
from app.api.deps import DbSession
from app.repositories import analytics as analytics_repo
from app.repositories import analytics_selfstat as selfstat_repo
from app.schemas.analytics import AnalyticsBatchIn, AnalyticsIngestOut
from app.schemas.analytics_selfstat import SelfStatBatchIn, SelfStatIngestOut
router = APIRouter(prefix="/api/v1/analytics", tags=["analytics"])
logger = logging.getLogger("shagua.analytics")
def _client_ip(request: Request) -> str:
@@ -34,13 +29,3 @@ def ingest_events(
) -> AnalyticsIngestOut:
n = analytics_repo.record_batch(db, batch, client_ip=_client_ip(request))
return AnalyticsIngestOut(received=n)
@router.post("/selfstat", response_model=SelfStatIngestOut, summary="上报自报计数快照")
def ingest_selfstat(batch: SelfStatBatchIn, db: DbSession) -> SelfStatIngestOut:
try:
snap_id = selfstat_repo.record_selfstat(db, batch)
except Exception: # noqa: BLE001 — 计数链路要稳,落库失败不裸奔 500,记日志回明确错误
logger.exception("selfstat ingest failed device=%s epoch=%s", batch.device_id, batch.epoch_id)
raise HTTPException(status_code=503, detail="selfstat ingest failed") from None
return SelfStatIngestOut(snapshot_id=snap_id)
+7 -6
View File
@@ -12,11 +12,11 @@ from __future__ import annotations
import logging
from fastapi import APIRouter, HTTPException, Request, status
from fastapi import APIRouter, Depends, HTTPException, Request, status
from app.api.deps import CurrentUser, DbSession
from app.core import test_account
from app.core.ratelimit import enforce_rate_limit
from app.core.ratelimit import enforce_rate_limit, rate_limit
from app.core.security import TokenError, decode_token, issue_token_pair
from app.integrations.jiguang import JiguangError, mask_phone, verify_and_get_phone
from app.integrations.sms import SmsError, send_code, verify_code
@@ -41,7 +41,7 @@ router = APIRouter(prefix="/api/v1/auth", tags=["auth"])
# 手机号登录防刷:同一设备(device_id) + 同一 IP 每小时最多的登录尝试次数(成功/失败都计)。
SMS_LOGIN_MAX_PER_HOUR = 5
# 发码防刷:同一设备(device_id) + 同一 IP 每小时最多的发码次数。
# 堵「换手机号绕开单号 60s 冷却」的洞 —— 冷却是单号维度,一机换号能绕开。
# 堵「换手机号绕开单号 60s 冷却 / 单号每日上限」的洞 —— 那两道是单号维度,一机换号能绕开。
SMS_SEND_MAX_PER_HOUR_PER_DEVICE = 5
@@ -100,8 +100,8 @@ def sms_send(req: SmsSendRequest, request: Request) -> SmsSendResponse:
return SmsSendResponse(sent=True, mock=True, cooldown_sec=0)
# 防刷:同一设备(device_id) + 同一 IP 每小时最多 SMS_SEND_MAX_PER_HOUR_PER_DEVICE 次发码。
# 补「换手机号绕开单号 60s 冷却」的洞(冷却是单号维度,一机换号能绕);设备维度按机器封顶,
# 挡短信轰炸/烧钱。放在真发(send_code)之前 → 超限直接拦下、不真发短信。
# 补「换手机号绕开单号 60s 冷却 / 单号每日上限」的洞(那两道是单号维度,一机换号能绕);设备维度按机器封顶,
# 挡短信轰炸/烧钱。放在真发(send_code)之前 → 超限直接拦下、不真发短信。与路由上 IP 维度(10次/分钟)互补。
enforce_rate_limit(
request,
scope="sms-send-device",
@@ -125,6 +125,7 @@ def sms_send(req: SmsSendRequest, request: Request) -> SmsSendResponse:
"/sms/login",
response_model=TokenWithUser,
summary="手机号+验证码登录",
dependencies=[Depends(rate_limit(20, 60, "sms-login"))], # 防撞库爆破(另有单码失败次数上限)
)
def sms_login(req: SmsLoginRequest, request: Request, db: DbSession) -> TokenWithUser:
# 测试账号:免验证码登录 + 每日上限 + 每次都走新手引导(详见 app/core/test_account.py)。
@@ -142,7 +143,7 @@ def sms_login(req: SmsLoginRequest, request: Request, db: DbSession) -> TokenWit
return _login_response(user, onboarding_completed=False, force_onboarding=True)
# 防刷:同一设备(device_id) + 同一 IP 每小时最多 SMS_LOGIN_MAX_PER_HOUR 次登录尝试。放在验证码校验
# **之前** → 输错验证码的失败尝试也计数,才挡得住撞库/爆破(另有单码失败 SMS_MAX_VERIFY_ATTEMPTS 次即作废兜底)
# **之前** → 输错验证码的失败尝试也计数,才挡得住撞库/爆破。与路由上 IP 维度的 sms-login 限流(同 IP)互补
# ⚠️ 按设备而非手机号 → 一台机器换不同手机号刷登录也受限(防一机狂登多号);device_id 空(老客户端)时
# 退化为该 IP 下所有空设备聚一桶,仍受限。
enforce_rate_limit(
+60 -203
View File
@@ -1,114 +1,49 @@
"""外卖比价业务透传端点 + 后端 harvest 落库
"""外卖比价业务透传端点。
把客户端 POST /api/v1/intent/* /api/v1/price/step 转发给 pricebot,同时** app-server
在透传里直接落库比价记录**(不再靠客户端 POST /compare/record):
- 帧0(客户端首帧不带 trace_id) app-server uuid 签发 trace_id注入转发 body回给
客户端;并按 trace_id running (harvest_running)
- 最终 done 更新成 success/failed + 结果(harvest_done)发奖不在这里:#113 已把
邀请奖口径从比价移到实际下单(order.py)
- /trace/finalize(用户终止/Phase1 未识别, done) 更新成 cancelled/failed
(harvest_abort,**不降级 success**)
trace_url pricebot 响应**顶层 trace_url** (pricebot 每帧都带,见其 goal_engine.process_step)
把客户端 POST /api/v1/intent/recognize /api/v1/price/step 请求原样转发给
pricebot-backend /api/intent/recognize /api/price/stepMVP 阶段**不鉴权**
( coupon/step, docs/待办与技术债.md P1:device_id 透传区分设备,待补 JWT +
device_iduser_id 绑定后才能做用户级画像)
鉴权:软鉴权(OptionalUser)新客户端带 JWT user_id;老客户端不带 user_id 暂空,
由其后续 /compare/record 上报补(灰度期两条写路径按 trace_id reconcile,success 不被降级)
- Phase 1 /intent/recognize:从源平台(淘宝闪购/美团/京东外卖)购物车页识别店名+菜品+
价格,一次性
- Phase 2 /price/step:多轮循环,在目标平台复现订单读到手价,直到 done
真正的目标驱动比价逻辑在 pricebot-backend(GoalEngine,另一个 repo),本接口是透传壳 + 落库
pricebot 协议文档: pricebot-backend/docs/main/02_api_protocol.md
真正的目标驱动比价逻辑在 pricebot-backend(GoalEngine,另一个 repo),本接口是透传壳
电商(ecom)那两个端点 food MVP 暂不需要,以后放开 scene 时再加 /ecom/intent/recognize
/ecom/step 两行即可
pricebot 协议文档:
pricebot-backend/docs/main/02_api_protocol.md
"""
from __future__ import annotations
import json
import logging
import time
import uuid
from typing import Any
import httpx
from fastapi import APIRouter, HTTPException, Request, status
from fastapi.concurrency import run_in_threadpool
from app.api.deps import OptionalUser
from app.core.config import settings
from app.core.logging import trace_id_ctx
from app.core.pricebot_client import get_pricebot_client
from app.core.pricebot_router import pick_pricebot
from app.db.session import SessionLocal
from app.repositories import comparison as crud_compare
logger = logging.getLogger("shagua.compare")
router = APIRouter(prefix="/api/v1", tags=["compare"])
# ============================================================
# harvest 落库(阻塞 SQLAlchemy → run_in_threadpool,独立 SessionLocal,不阻塞事件循环;
# 任何写库异常都吞掉、绝不连累比价透传返回 —— 同 coupon.py 现有 best-effort 写法)。
# ============================================================
async def _passthrough(request: Request, upstream_path: str) -> dict[str, Any]:
"""把请求体原样转发给 pricebot-backend 的 {upstream_path}
def _harvest_running_blocking(
trace_id: str, user_id: int | None, business_type: str,
device_id: str | None, device_info: dict | None, trace_url: str | None,
) -> None:
with SessionLocal() as db:
crud_compare.harvest_running(
db, trace_id=trace_id, user_id=user_id, business_type=business_type,
device_id=device_id, device_info=device_info, trace_url=trace_url,
)
logger.info(
"harvest running row (user=%s)", user_id,
extra={"phase": "harvest_running", "status": "running", "user_id": user_id},
)
def _harvest_done_blocking(
trace_id: str, user_id: int | None, done_params: dict, business_type: str,
device_id: str | None, device_info: dict | None, trace_url: str | None,
) -> None:
with SessionLocal() as db:
rec, newly_success = crud_compare.harvest_done(
db, trace_id=trace_id, user_id=user_id, done_params=done_params,
business_type=business_type, device_id=device_id,
device_info=device_info, trace_url=trace_url,
)
logger.info(
"harvest done → %s saved=%s newly=%s", rec.status,
rec.saved_amount_cents, newly_success,
extra={"phase": "harvest_done", "status": rec.status,
"saved_cents": rec.saved_amount_cents,
"best_platform": rec.best_platform_id, "newly_success": newly_success,
"user_id": user_id},
)
# 不在此处发邀请奖:#113 已把发奖口径从「比价」移到「实际下单」(order.py),harvest
# 只记录比价、不发奖。否则比价先于下单 + try_reward 幂等闸会让奖落在「比价」这步,
# 架空 #113 的「下单才发奖」防刷意图(newly_success 仅留作日志观测)。
def _harvest_abort_blocking(
trace_id: str, status_hint: str, reason: str | None, trace_url: str | None,
) -> None:
with SessionLocal() as db:
rec = crud_compare.harvest_abort(
db, trace_id=trace_id, status=status_hint, reason=reason, trace_url=trace_url,
)
logger.info(
"harvest abort → %s", (rec.status if rec else "no-row"),
extra={"phase": "harvest_abort",
"status": (rec.status if rec else None), "reason": reason},
)
async def _forward(
request: Request, upstream_path: str, user, *, harvest_first_frame: bool = True,
) -> tuple[dict[str, Any], str, dict[str, Any]]:
"""透传给 pricebot 的 {upstream_path},并 mint trace_id + 首帧建 running 行。
返回 (resp_json, trace_id, meta)
- 客户端首帧不带 trace_id app-server uuid 签发写进转发 body回填进响应顶层
`trace_id`(客户端据此拿到后续帧都带上)带了(老客户端 / 后续帧) 原样用走原始 bytes 快路
- **本次 mint(=首帧)** running (idempotent);后续帧不再写库
coupon_step 同款透传壳:不鉴权不做 schema 校验,仅读 device_id/trace_id/step
打日志比价单帧是大上下文 / 逐帧 LLM,超时用 PRICEBOT_COMPARE_TIMEOUT_SEC(60s,
比领券的 30s )
"""
# 读原始字节,避免"反序列化→再序列化"的双重 JSON(省 ~一半透传 CPU,让 app-server
# 单 worker 也扛得住高并发)。只 json.loads 一次拿 trace_id 做亲和 + 打日志,转发时
# 直接发原始 bytes(content=raw),不重新 dumps。
raw = await request.body()
try:
meta = json.loads(raw)
@@ -117,41 +52,26 @@ async def _forward(
if not isinstance(meta, dict):
meta = {}
trace_id = meta.get("trace_id")
minted = False
if not trace_id:
trace_id = str(uuid.uuid4())
meta["trace_id"] = trace_id
raw = json.dumps(meta).encode() # 仅首帧重新序列化(注入 trace_id);后续帧走原始 bytes
minted = True
# 请求级 trace_id 贯穿:此后本请求(含 run_in_threadpool 里的 harvest)每行日志自动带 trace_id
trace_id_ctx.set(trace_id)
base = pick_pricebot(trace_id)
# 按 trace_id 一致性 hash 选 pricebot 实例(同一比价的所有帧落同一进程,内存维护 state)
base = pick_pricebot(meta.get("trace_id"))
url = f"{base.rstrip('/')}{upstream_path}"
timeout = settings.PRICEBOT_COMPARE_TIMEOUT_SEC
step = meta.get("step")
logger.info(
"→ pricebot %s step=%s%s", upstream_path, step, " [mint]" if minted else "",
extra={"phase": "forward", "endpoint": upstream_path, "step": step,
"device_id": meta.get("device_id"), "minted": minted,
"query": meta.get("query"), "user_id": (user.id if user else None)},
"compare %s device_id=%s trace_id=%s step=%s",
upstream_path,
meta.get("device_id"),
meta.get("trace_id"),
meta.get("step"),
)
t0 = time.monotonic()
try:
client = get_pricebot_client()
resp = await client.post(
url, content=raw, headers={"Content-Type": "application/json"}, timeout=timeout
)
except httpx.RequestError as e:
logger.error(
"← pricebot %s 不可达: %s", upstream_path, e,
extra={"phase": "resp", "endpoint": upstream_path, "step": step,
"error": "upstream_unreachable"},
)
logger.error("[pricebot] request failed: %s", e)
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"pricebot upstream unreachable: {e}",
@@ -159,112 +79,49 @@ async def _forward(
if resp.status_code >= 500:
logger.error(
"pricebot %s 5xx=%d", upstream_path, resp.status_code,
extra={"phase": "resp", "endpoint": upstream_path, "step": step,
"http_status": resp.status_code, "error": "upstream_5xx"},
"[pricebot] 5xx status=%d body=%s",
resp.status_code,
resp.text[:500],
)
raise HTTPException(
status_code=status.HTTP_502_BAD_GATEWAY,
detail=f"pricebot upstream returned {resp.status_code}",
)
resp_json = resp.json()
cost_ms = int((time.monotonic() - t0) * 1000)
if not isinstance(resp_json, dict):
return {}, trace_id, meta
# 回传 app-server 签发的 trace_id(新客户端首帧据此拿到,后续帧都带上它)
resp_json.setdefault("trace_id", trace_id)
_action = resp_json.get("action") or {}
logger.info(
"← pricebot %s cmd=%s cont=%s %dms", upstream_path,
_action.get("command"), resp_json.get("continue"), cost_ms,
extra={"phase": "resp", "endpoint": upstream_path, "step": step,
"command": _action.get("command"), "continue": resp_json.get("continue"),
"cost_ms": cost_ms},
)
# 首帧建 running 行(仅本次 mint;老客户端自带 trace_id → 不 mint → 由 done / 其 POST 建行)
if minted and harvest_first_frame:
try:
await run_in_threadpool(
_harvest_running_blocking, trace_id,
(user.id if user else None), "food",
meta.get("device_id"), meta.get("device_info"),
resp_json.get("trace_url"),
)
except Exception as e: # noqa: BLE001
logger.warning("harvest_running failed trace=%s: %s", trace_id, e)
return resp_json, trace_id, meta
return resp.json()
@router.post("/intent/recognize", summary="外卖比价 Phase 1 意图识别 (透传 + 建 running 行)")
async def intent_recognize(request: Request, user: OptionalUser) -> dict[str, Any]:
resp, _, _ = await _forward(request, "/api/intent/recognize", user)
return resp
@router.post("/intent/recognize", summary="外卖比价 Phase 1 意图识别 (透传到 pricebot)")
async def intent_recognize(request: Request) -> dict[str, Any]:
return await _passthrough(request, "/api/intent/recognize")
@router.post("/intent/step", summary="外卖比价 Phase 1 多帧意图识别 (透传, 仅淘宝源)")
async def intent_step(request: Request, user: OptionalUser) -> dict[str, Any]:
resp, _, _ = await _forward(request, "/api/intent/step", user)
return resp
@router.post("/intent/step", summary="外卖比价 Phase 1 多帧意图识别 (透传到 pricebot, 仅淘宝源)")
async def intent_step(request: Request) -> dict[str, Any]:
# 多帧版意图识别(展开+滚动采集→提取): 循环调用直到 done(done 帧顶层带
# result+calibration)。目前仅淘宝源走这条, 其它源走上面单次 /intent/recognize。
return await _passthrough(request, "/api/intent/step")
@router.post("/intent/precoupon/step", summary="外卖比价 Phase 0 识别前先用券 (透传, 仅美团源)")
async def intent_precoupon_step(request: Request, user: OptionalUser) -> dict[str, Any]:
resp, _, _ = await _forward(request, "/api/intent/precoupon/step", user)
return resp
@router.post(
"/intent/precoupon/step",
summary="外卖比价 Phase 0 意图识别前先用券 (透传到 pricebot, 仅美团源)",
)
async def intent_precoupon_step(request: Request) -> dict[str, Any]:
# 美团源平台『意图识别前先用券』多帧循环: 客户端在调 /intent/recognize 之前先循环
# 调本端点到 done(continue=false)。订单页底部有『点击使用X红包』就自动选最大免费券
# 用上, 已用券/无券则首帧秒过。与 /intent/step 同属 intent 域, 复用同一透传壳。
return await _passthrough(request, "/api/intent/precoupon/step")
@router.post("/price/step", summary="外卖比价 Phase 2 步进 (透传 + done 落库)")
async def price_step(request: Request, user: OptionalUser) -> dict[str, Any]:
resp, trace_id, meta = await _forward(request, "/api/price/step", user)
# 最终 done 帧(command=done 且 continue=false)→ harvest 更新成终态。
# (单平台中途 done 被 pricebot 改写成 wait+continue=true,不会命中这里,同 coupon 语义。)
action = resp.get("action") or {}
if action.get("command") == "done" and not resp.get("continue", True):
done_params = action.get("params") or {}
try:
await run_in_threadpool(
_harvest_done_blocking, trace_id, (user.id if user else None),
done_params, "food",
meta.get("device_id"), meta.get("device_info"),
resp.get("trace_url") or done_params.get("trace_url"),
)
except Exception as e: # noqa: BLE001
logger.warning("harvest_done failed trace=%s: %s", trace_id, e)
return resp
@router.post("/price/step", summary="外卖比价 Phase 2 步进 (透传到 pricebot)")
async def price_step(request: Request) -> dict[str, Any]:
return await _passthrough(request, "/api/price/step")
@router.post("/trace/epilogue", summary="比价结果页尾声帧 (透传到 pricebot, 用户视角截图入 trace)")
async def trace_epilogue(request: Request, user: OptionalUser) -> dict[str, Any]:
# App 收到 done、渲染完结果页后,把自己页面的截图(base64)传给 pricebot 存进 trace
# 目录并触发重传 —— trace 里补上"用户实际看到的汇总页"(步骤帧只有目标 App 画面)。
# body ~几百 KB(截图 base64), 纯透传壳(harvest_first_frame=False:不建行/不落库,
# 该 trace 的记录已由 done/finalize 落终态)。#112 原走 _passthrough,合并到 harvest
# 分支后统一走 _forward(_passthrough 已并入它)。
resp, _, _ = await _forward(
request, "/api/trace/epilogue", user, harvest_first_frame=False,
)
return resp
@router.post("/trace/finalize", summary="比价 trace 收尾上云 (透传 + 夭折落库)")
async def trace_finalize(request: Request, user: OptionalUser) -> dict[str, Any]:
# 用户终止 / Phase1 未识别没到 done 帧: pricebot 打包半截上云返回 {trace_url};
# app-server 顺手把该 trace 的 running 行更新成夭折终态(**不降级 success**)。
# 客户端 finalize body 带 status(cancelled/failed)+ reason;老客户端只带 trace_id →
# 默认 cancelled,其后续 /compare/record 上报再补精确态。
resp, trace_id, meta = await _forward(
request, "/api/trace/finalize", user, harvest_first_frame=False,
)
try:
await run_in_threadpool(
_harvest_abort_blocking, trace_id,
(meta.get("status") or "cancelled"),
(meta.get("reason") or meta.get("information")),
(resp.get("trace_url") if isinstance(resp, dict) else None),
)
except Exception as e: # noqa: BLE001
logger.warning("harvest_abort failed trace=%s: %s", trace_id, e)
return resp
@router.post("/trace/finalize", summary="比价 trace 收尾上云 (透传到 pricebot, 终止/未识别拿 trace_url)")
async def trace_finalize(request: Request) -> dict[str, Any]:
# 用户终止 / Phase1 未识别没走到 done 帧, pricebot 没上云也没回传 trace_url。客户端收尾时
# 打这个, _passthrough 按 trace_id 一致性 hash 落到处理这条 trace 的同一 pricebot 进程
# (dir_cache 在那, 才能算对 trace 目录), 由后者打包上云返回 {trace_url}。
return await _passthrough(request, "/api/trace/finalize")
+22 -12
View File
@@ -1,13 +1,15 @@
"""比价记录 endpoint(「我的比价记录」+ admin 数据源)。
"""比价记录 endpoint(「我的比价记录」数据源)。
路由前缀 `/api/v1/compare`:
POST /record (灰度期兼容)老客户端上报, **trace_id** 幂等 + 不降级 success
POST /record 上报一次比价结果(幂等: user+trace_id 覆盖)
GET /records 比价记录列表(游标分页)
GET /records/{id} 单条详情( raw_payload 全量)
**均需鉴权**(CurrentUser) 写路径现以 `compare.py` 透传壳的**后端 harvest** 为主
(帧0 running done/finalize 落终态,新客户端不再 POST); POST /record 仅灰度期
给老客户端用, harvest trace_id reconcile新版覆盖够高后可下线本 POST(阶段3)
**均需鉴权**(CurrentUser)与同文件无关的不鉴权透传 `compare.py` 分开:那个是
转发壳(MVP 不鉴权),这里是按用户维度落库的业务接口,必须有 user_id
:本轮只做 server ,客户端(android ) done 帧后调 POST /record 上报的改动
另起一轮( app-server docs/待办与技术债.md P1)
"""
from __future__ import annotations
@@ -19,16 +21,16 @@ from app.api.deps import CurrentUser, DbSession
from app.db.session import SessionLocal
from app.models.comparison import ComparisonRecord
from app.repositories import comparison as crud_compare
from app.repositories import invite as crud_invite
from app.services.pricebot_llm_calls import fetch_llm_calls
from app.schemas.compare_record import (
CompareStatsOut,
ComparisonRecordCreatedOut,
ComparisonRecordDetailOut,
ComparisonRecordIn,
ComparisonRecordOut,
ComparisonRecordPage,
ComparisonRecordOut,
)
from app.services.llm_cost import compute_llm_cost, get_llm_prices
from app.services.pricebot_llm_calls import fetch_llm_calls
logger = logging.getLogger("shagua.compare_record")
@@ -51,8 +53,18 @@ def report_record(
# 任务做,不阻塞上报响应(顺带给 pricebot 落盘留足余量)。upsert 已 commit,后台用
# 独立 session 按 record id 回填 llm_calls + 派生 llm_call_count/retry_count。
background_tasks.add_task(_backfill_llm_calls, rec.id, rec.trace_id)
# 注:邀请发奖已从"比价成功"挪到"实际下单"(见 api/v1/order.py report_order)——
# 冰拍板:被邀请人完成比价并实际下单才算邀请成功,仅完成比价不再发奖
# 邀请 v2 发奖:被邀请人完成一次【成功】比价 → 给邀请人发邀请奖励金(幂等,只发一次)。
# best-effort:发奖异常不影响比价上报本身(rec 已 commit),只 log;邀请人补偿靠后续对账
if rec.status == "success":
try:
reward = crud_invite.try_reward_on_compare(db, user.id)
if reward.status == "granted":
logger.info(
"invite compare reward granted inviter=%s invitee=%s cents=%s",
reward.inviter_user_id, user.id, reward.reward_cents,
)
except Exception as e: # noqa: BLE001 best-effort,发奖失败不阻塞上报
logger.warning("invite compare reward failed invitee=%s: %s", user.id, e)
logger.info(
"compare record user=%s trace=%s biz=%s status=%s saved=%s (llm_calls backfill queued)",
user.id,
@@ -82,8 +94,6 @@ def _backfill_llm_calls(record_id: int, trace_id: str) -> None:
# error 的调用 usage 可能为 None,or {} 兜底)
rec.input_tokens = sum((c.get("usage") or {}).get("prompt_tokens") or 0 for c in calls)
rec.output_tokens = sum((c.get("usage") or {}).get("completion_tokens") or 0 for c in calls)
# 本次比价 LLM 成本(元)+ 当时单价快照:按 app_config 现价逐模型算好冻结(services/llm_cost.py)。
rec.llm_cost_yuan, rec.llm_price_snapshot = compute_llm_cost(calls, get_llm_prices(db))
db.commit()
logger.info(
"backfill llm_calls trace=%s n=%d in_tok=%d out_tok=%d",
+1 -39
View File
@@ -29,7 +29,6 @@ from app.schemas.coupon_state import (
CouponPromptDismissIn,
CouponPromptShouldShowOut,
CouponPromptShownIn,
CouponSessionIn,
CouponStatsOut,
)
@@ -81,16 +80,7 @@ def _record_claims_blocking(
device_id: str, user_id: int | None, trace_id: str | None, results: list[dict]
) -> None:
with SessionLocal() as db:
# 取本次 session 环境,给 coupon_claim_record 打 app_env 标(每券成功率表按它过滤;设计 §13)。
app_env = coupon_repo.session_app_env(db, trace_id)
coupon_repo.record_claims(db, device_id, user_id, trace_id, results, app_env=app_env)
# 顺带把本帧「成功平台」并入 coupon_session.platform_success(admin 领券数据 ②整单/③点位成功率;
# 设计 route B,见 docs/guides/领券成功率指标-设计与埋点.md)。复用同一 SessionLocal、紧接 record_claims,
# 不新增连接;并集幂等(无新平台不写),trace_id 缺失或 session 行未落库则跳过。
if trace_id:
coupon_repo.merge_session_platform_success(
db, trace_id, coupon_repo.succeeded_platforms(results)
)
coupon_repo.record_claims(db, device_id, user_id, trace_id, results)
def _mark_completed_blocking(
@@ -204,34 +194,6 @@ async def coupon_step(
return resp_json
@router.post("/session", summary="领券任务流水上报(admin 领券数据看板数据源)")
def coupon_session(payload: CouponSessionIn, db: DbSession) -> dict[str, bool]:
"""客户端两段上报一次领券流水(发起 started / 收尾 completed-failed-abandoned),按 trace_id upsert
coupon_session不鉴权(同领券循环 MVP, device_id/trace_id); admin领券数据看板算
发起/完成数耗时分位机型维度写库失败不应连累客户端(本就 fire-and-forget),吞掉返回 ok"""
try:
coupon_repo.upsert_coupon_session(
db,
trace_id=payload.trace_id,
device_id=payload.device_id,
status=payload.status,
started_at_ms=payload.started_at_ms,
user_id=payload.user_id,
platforms=payload.platforms,
origin_package=payload.origin_package,
device_model=payload.device_model,
rom=payload.rom,
app_env=payload.app_env,
elapsed_ms=payload.elapsed_ms,
platform_elapsed=payload.platform_elapsed,
claimed_count=payload.claimed_count,
trace_url=payload.trace_url,
)
except Exception as e: # noqa: BLE001
logger.warning("coupon session write failed: %s", e)
return {"ok": True}
@router.post("/prompt/shown", summary="领券引导窗弹出即上报(按 App 记 shown)")
def coupon_prompt_shown(payload: CouponPromptShownIn, db: DbSession) -> dict[str, bool]:
"""客户端弹出引导窗那刻调 → 记一条今日 engagement(shown),今天**这个 App** 不再自动弹。
+1 -24
View File
@@ -31,18 +31,7 @@ router = APIRouter(prefix="/api/v1/feedback", tags=["feedback"])
_MAX_IMAGES = 6
_CONTENT_MAX = 200
_CONTACT_MAX = 128
_SCENE_MAX = 32
_VALID_RECORD_STATUS = {"pending", "adopted", "rejected"}
_VALID_SOURCES = {"profile", "comparison"}
def _resolve_source(source: str, scene: str) -> str:
"""反馈来源:客户端显式传的 source 优先(profile / comparison);未传或非法时,
scene 有无派生比价结果页反馈才带 scene, scene 非空即视作 comparison"""
src = source.strip().lower()
if src in _VALID_SOURCES:
return src
return "comparison" if scene.strip() else "profile"
def _app_status(db_status: str) -> str:
@@ -57,12 +46,10 @@ def _record_out(fb) -> FeedbackRecordOut:
return FeedbackRecordOut(
id=fb.id,
content=fb.content,
scene=getattr(fb, "scene", None),
images=fb.images or [],
status=_app_status(fb.status),
reject_reason=getattr(fb, "reject_reason", None),
reward_coins=getattr(fb, "reward_coins", None),
admin_reply=getattr(fb, "admin_reply", None),
created_at=fb.created_at,
)
@@ -74,11 +61,6 @@ async def submit_feedback(
content: str = Form(...),
# 原型改版后客户端不再采集联系方式;保留字段以兼容旧端 + 后续可能复用,默认空串。
contact: str = Form(default=""),
# 反馈来源入口:profile(「我的」页)/ comparison(比价结果页)。新端显式传;旧端不带 →
# 空串 → 按 scene 有无派生。admin 据此展示/筛选「反馈类型」。
source: str = Form(default=""),
# 比价结果页反馈的「问题场景」(找错商品/优惠不对…);普通反馈不带 → 空串 → 存 NULL。
scene: str = Form(default=""),
# 提交端环境快照(admin 反馈页展示「提交版本号」「机型OS版本」);旧端不带 → 空串 → 存 NULL。
app_version: str = Form(default=""),
device_model: str = Form(default=""),
@@ -94,8 +76,6 @@ async def submit_feedback(
raise HTTPException(status_code=400, detail="反馈内容过长")
if len(contact) > _CONTACT_MAX:
raise HTTPException(status_code=400, detail="联系方式过长")
scene = scene.strip()[:_SCENE_MAX]
resolved_source = _resolve_source(source, scene)
files = [f for f in (images or []) if f is not None and f.filename]
if len(files) > _MAX_IMAGES:
@@ -111,13 +91,10 @@ async def submit_feedback(
fb = feedback_repo.create_feedback(
db, user_id=user.id, content=content, contact=contact, images=urls,
source=resolved_source, scene=scene or None,
app_version=app_version.strip(), device_model=device_model.strip(),
rom_name=rom_name.strip(), android_version=android_version.strip(),
)
logger.info(
"feedback id=%d user_id=%d source=%s images=%d", fb.id, user.id, resolved_source, len(urls)
)
logger.info("feedback id=%d user_id=%d images=%d", fb.id, user.id, len(urls))
return FeedbackOut.model_validate(fb)
+4 -41
View File
@@ -25,19 +25,9 @@ from app.schemas.meituan import (
ReferralLinkResponse,
TopSalesRequest,
)
from app.utils.meituan_city import get_meituan_city
logger = logging.getLogger("shagua.meituan")
def _resolve_city_id(latitude: float, longitude: float) -> str:
"""经纬度 → 美团城市 ID;解析失败返 ""(调用方应降级返空)。"""
try:
return get_meituan_city(latitude, longitude).get("city_id", "")
except Exception:
logger.exception("get_meituan_city 失败")
return ""
router = APIRouter(prefix="/api/v1/meituan", tags=["meituan-cps"])
@@ -185,19 +175,13 @@ def feed(req: FeedRequest, db: Session = Depends(get_db)) -> FeedResponse:
status = "degraded" if (not cards and wm_fail and dd_fail) else ("ok" if cards else "empty")
return FeedResponse(items=cards, has_next=wm_hn or dd_hn, page=req.page, status=status)
# 智能推荐(rec):走【离线库】筛佣金率 ≥ 3%,按城市过滤,分页返回(SQL 侧去重+排序+分页,秒级、不打美团)。
# 智能推荐(rec):走【离线库】筛佣金率 ≥ 3%,分页返回(SQL 侧去重+排序+分页,秒级、不打美团)。
# 实测库里佣金≥3% 去重后仅 ~578 条(几乎全是外卖;到店团购佣金普遍 <3%):实时按"同城热销榜单"
# 拉既撞限流、又填不满(该榜单中位佣金 ~0.8%,筛完每页剩 0-1 条),故从库出。佣金阈值逻辑不变。
if tab == "rec":
city_id = _resolve_city_id(lat, lon)
if not city_id:
return FeedResponse(items=[], has_next=False, page=req.page, status="degraded")
PAGE = 20
try:
base = select(MeituanCoupon).where(
MeituanCoupon.commission_percent >= 3.0,
MeituanCoupon.city_id == city_id,
)
base = select(MeituanCoupon).where(MeituanCoupon.commission_percent >= 3.0)
deduped = base.distinct(MeituanCoupon.dedup_key).order_by(
MeituanCoupon.dedup_key,
MeituanCoupon.commission_percent.desc(),
@@ -227,9 +211,6 @@ def feed(req: FeedRequest, db: Session = Depends(get_db)) -> FeedResponse:
card.distance_text = None
card.distance_meters = None
cards.append(card)
if not cards and req.page == 1:
# 命中城市却 0 券:该城确无 ≥3% 券,或 ETL 灌的 city_id 与 city_dict 口径不一致。
logger.info("[feed] rec city_id=%s 命中 0 券(该城确无券?或 ETL/city_dict 的 city_id 口径不一致)", city_id)
return FeedResponse(items=cards, has_next=has_next, page=req.page,
status="ok" if cards else "empty")
@@ -273,24 +254,14 @@ def referral_link(req: ReferralLinkRequest) -> ReferralLinkResponse:
@router.post("/top-sales", response_model=CouponListResponse,
summary="销量最高(从离线库 meituan_coupon 按销量降序 + 跨源去重,按城市过滤,不实时打美团)")
summary="销量最高(从离线库 meituan_coupon 按销量降序 + 跨源去重,不实时打美团)")
def top_sales(req: TopSalesRequest, db: Session = Depends(get_db)) -> CouponListResponse:
# 按设备经纬度定位城市,只查同城券;老客户端不带坐标 → 降级返空(不 422、不误返全城)。
if req.latitude is None or req.longitude is None:
return CouponListResponse(items=[], has_next=False, search_id=None, status="degraded")
city_id = _resolve_city_id(req.latitude, req.longitude)
if not city_id:
return CouponListResponse(items=[], has_next=False, search_id=None, status="degraded")
# 去重 + 排序 + 分页全在 SQL 做,每页只取并解析当前页 ~20 条。
# (之前实现每翻一页都全表拉取 + 全量 from_raw 解析,翻页慢 → 客户端滑动卡顿/翻不动。)
# 库为空(prod 刚部署 / ETL 未跑完)时返空 + status=empty,不崩;库查询异常降级 degraded。
try:
# 1) DISTINCT ON (dedup_key):每个去重键(品牌|名|价)只留销量最高那条(同销量再按佣金)
base = select(MeituanCoupon).where(
MeituanCoupon.sale_volume_num.isnot(None),
MeituanCoupon.city_id == city_id,
)
base = select(MeituanCoupon).where(MeituanCoupon.sale_volume_num.isnot(None))
if req.platform is not None:
base = base.where(MeituanCoupon.platform == req.platform)
deduped = base.distinct(MeituanCoupon.dedup_key).order_by(
@@ -321,14 +292,6 @@ def top_sales(req: TopSalesRequest, db: Session = Depends(get_db)) -> CouponList
except Exception: # noqa: BLE001
continue
if card.product_view_sign:
# 不显示距离:库里的距离是相对城市默认点的(对用户无意义、且误导)。
# 置空后前端"距离 店名"那行只剩店名、自动顶到最左(店名移到原距离的位置)。
# 逻辑与推荐流保持一致
card.distance_text = None
card.distance_meters = None
cards.append(card)
if not cards and req.page == 1:
# 命中城市却 0 券:可能该城确无券,也可能 ETL 灌的 city_id 与 city_dict 口径不一致(静默降级的隐患)。
logger.info("[top-sales] city_id=%s 命中 0 券(该城确无券?或 ETL/city_dict 的 city_id 口径不一致)", city_id)
return CouponListResponse(items=cards, has_next=has_next, search_id=None,
status="ok" if cards else "empty")
-19
View File
@@ -1,14 +1,9 @@
import logging
from fastapi import APIRouter
from app.api.deps import CurrentUser, DbSession
from app.repositories import invite as crud_invite
from app.repositories import savings as crud_savings
from app.schemas.order import OrderReportOut, OrderReportRequest
logger = logging.getLogger("shagua.order")
router = APIRouter(prefix="/api/v1/order", tags=["order"])
@@ -20,20 +15,6 @@ router = APIRouter(prefix="/api/v1/order", tags=["order"])
def report_order(req: OrderReportRequest, user: CurrentUser, db: DbSession) -> OrderReportOut:
# 记账唯一真相表是 savings_record(source='compare')。
rec, duplicated = crud_savings.create_from_report(db, user.id, req)
# 邀请 v2 发奖:被邀请人【实际下单】(而非仅完成比价)才给邀请人发邀请奖励金(幂等,只发一次)。
# 触发点从"比价成功上报"挪到这里(冰:完成比价并实际下单才算成功)。仅首次真实上报触发,
# 重复上报(duplicated)跳过。best-effort:发奖异常不影响订单上报本身(rec 已 commit),只 log;
# try_reward_on_compare 自带 compare_reward_granted 幂等闸,漏发靠后续对账补。
if not duplicated:
try:
reward = crud_invite.try_reward_on_compare(db, user.id)
if reward.status == "granted":
logger.info(
"invite order reward granted inviter=%s invitee=%s cents=%s",
reward.inviter_user_id, user.id, reward.reward_cents,
)
except Exception as e: # noqa: BLE001 best-effort,发奖失败不阻塞订单上报
logger.warning("invite order reward failed invitee=%s: %s", user.id, e)
return OrderReportOut(
id=rec.id,
platform=rec.platform or req.platform,
-12
View File
@@ -69,18 +69,6 @@ def complete_onboarding(
return OkResponse()
@router.post("/onboarding/reset", response_model=OkResponse, summary="重置新手引导(删该 设备+账号 完成标记,下次登录重走)")
def reset_onboarding(
req: OnboardingCompleteRequest, user: CurrentUser, db: DbSession
) -> OkResponse:
"""删该 (当前账号, device_id) 的引导完成标记 → 下次登录 onboarding_completed=false,客户端重走。
/onboarding/complete 互逆device_id 取客户端硬件级 ANDROID_ID(与登录/complete 一致)
幂等:无记录也返回 ok仅删自己(当前 JWT 用户)这台设备的记录,不影响别的账号/设备"""
deleted = onboarding_repo.delete_completion(db, user_id=user.id, device_id=req.device_id)
logger.info("onboarding reset user_id=%d device_len=%d deleted=%d", user.id, len(req.device_id), deleted)
return OkResponse()
@router.get(
"/onboarding/status",
response_model=OnboardingStatusResponse,
+2 -14
View File
@@ -43,7 +43,6 @@ from app.schemas.welfare import (
WithdrawRequest,
WithdrawResultOut,
WithdrawStatusOut,
WithdrawTierOut,
)
logger = logging.getLogger("shagua.wallet")
@@ -174,15 +173,8 @@ def unbind_wechat(
return UnbindWechatResultOut(bound=False)
@router.get("/withdraw-info", response_model=WithdrawInfoOut, summary="提现额度/绑定状态/免确认开关/档位")
def withdraw_info(
user: CurrentUser,
db: DbSession,
source: str = Query(
"coin_cash",
description="提现账户:coin_cash(福利页,下发 tiers 档位) / invite_cash(邀请页,tiers 为空走旧逻辑)",
),
) -> WithdrawInfoOut:
@router.get("/withdraw-info", response_model=WithdrawInfoOut, summary="提现额度/绑定状态/免确认开关")
def withdraw_info(user: CurrentUser, db: DbSession) -> WithdrawInfoOut:
u = db.get(User, user.id)
# 顺带同步免确认授权状态(捕获首单确认后已生效的授权 pending→active),让开关展示实时
auth = crud_wallet.sync_transfer_auth(db, user.id)
@@ -193,7 +185,6 @@ def withdraw_info(
wechat_nickname=u.wechat_nickname if u else None,
wechat_avatar_url=u.wechat_avatar_url if u else None,
transfer_auth_enabled=bool(auth and auth.state == "active"),
tiers=[WithdrawTierOut(**t) for t in crud_wallet.withdraw_tier_states(db, user.id, source)],
)
@@ -227,9 +218,6 @@ def withdraw(req: WithdrawRequest, user: CurrentUser, db: DbSession) -> Withdraw
status_code=status.HTTP_409_CONFLICT,
detail="已有提现申请正在审核或打款中,请处理完成后再申请",
) from e
except crud_wallet.WithdrawTierUnavailableError as e:
# 福利页档位闸(7-9):次数满/已选其他额度。正常客户端已按 tiers 预拦,此处兜底防绕过。
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="今日额度已达上限") from e
except crud_wallet.InsufficientCashError as e:
raise HTTPException(status_code=status.HTTP_409_CONFLICT, detail="现金余额不足") from e
+2 -1
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@@ -68,7 +68,7 @@ class Settings(BaseSettings):
# 无障碍保护存活监控后台任务(pull 后置检测;本期不接推送)
HEARTBEAT_MONITOR_ENABLED: bool = True # 总开关
HEARTBEAT_TIMEOUT_MINUTES: int = 60 # 多久没心跳算掉线(1 小时,避免短暂离线误判被杀)
HEARTBEAT_TIMEOUT_MINUTES: int = 10 # 多久没心跳算掉线(≈3 个客户端心跳周期)
HEARTBEAT_SCAN_INTERVAL_SEC: int = 60 # 扫描周期
# ===== 短信 =====
@@ -81,6 +81,7 @@ class Settings(BaseSettings):
SMS_SIGN_ID: int = 31729 # 极光短信签名 ID(非机密,可被 .env 覆盖)
SMS_TEMPLATE_ID: int = 1 # 极光短信模板 ID(变量名 code,有效期 5 分钟)
SMS_CODE_LENGTH: int = 6 # 验证码位数(本服务生成;前端 code 字段 4-8 位兼容)
SMS_DAILY_LIMIT_PER_PHONE: int = 10 # 单手机号每日发送上限(防刷 + 控费)
SMS_MAX_VERIFY_ATTEMPTS: int = 5 # 单个验证码最多校验失败次数,超过即作废(防爆破)
# ===== 测试账号(release 包全流程联调用)=====
+6 -33
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@@ -11,10 +11,7 @@ from typing import Any
from app.core import rewards as r
# type 约定(给前端渲染编辑控件用):int / int_list / dict_str_int / bool / enum
# hidden=True:仍是合法可配项(业务照常 get_value / admin 可经专用端点读写),但**不在通用
# 「系统配置」页渲染**(admin/routers/config.py:list_config 按此过滤)。用于把已下线/已改由
# 专用页管理的项从福利页 Tab 收起,同时保留后端默认值与写入能力。
# type 约定(给前端渲染编辑控件用):int / int_list / dict_str_int / bool
CONFIG_DEFS: dict[str, dict[str, Any]] = {
"signin_rewards": {
"default": list(r.SIGNIN_REWARDS), "label": "签到 7 天金币档位",
@@ -33,21 +30,18 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
"default": r.WITHDRAW_MAX_CENTS, "label": "提现最高额(分)",
"group": "钱包", "type": "int",
},
# 从福利页 Tab 收起(hidden)的项:任务 / 里程碑 整组 + 看广告组里的「单次金币(遗留展示值)/
# 每轮次数 / 比价领券信息流广告开关 comparing_ad_enabled」。key 与默认值保留、后端业务照常读取,
# 仅不在配置页渲染。看广告组保留可见的:每日上限 / 单次金币上限 / 关闭后冷却。
"task_rewards": {
"default": dict(r.TASK_REWARDS), "label": "一次性任务奖励",
"group": "任务", "type": "dict_str_int", "help": "task_key → 金币。", "hidden": True,
"group": "任务", "type": "dict_str_int", "help": "task_key → 金币。",
},
"record_milestones": {
"default": list(r.RECORD_MILESTONES), "label": "比价里程碑金币档位",
"group": "里程碑", "type": "int_list", "hidden": True,
"group": "里程碑", "type": "int_list",
"help": "累计成功比价第 1~N 档解锁发的金币。",
},
"ad_reward_coin": {
"default": r.AD_REWARD_COIN, "label": "看广告单次金币",
"group": "看广告", "type": "int", "hidden": True,
"group": "看广告", "type": "int",
"help": "历史兼容/测试展示值;正式发放按 eCPM 公式计算。",
},
"ad_daily_limit": {
@@ -60,7 +54,7 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
},
"ad_round_count": {
"default": r.VIDEO_ROUND_REQUIRED_COUNT, "label": "每轮看广告次数",
"group": "看广告", "type": "int", "hidden": True, "help": "当前为 1,表示每次广告关闭后触发短冷却。",
"group": "看广告", "type": "int", "help": "当前为 1,表示每次广告关闭后触发短冷却。",
},
"ad_cooldown_sec": {
"default": r.VIDEO_ROUND_COOLDOWN_SECONDS, "label": "广告关闭后冷却(秒)",
@@ -73,7 +67,7 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
},
"comparing_ad_enabled": {
"default": True, "label": "比价/领券期信息流广告",
"group": "看广告", "type": "bool", "hidden": True,
"group": "看广告", "type": "bool",
"help": (
"开启后,比价进行中 + 领券等候期会在悬浮窗展示穿山甲信息流广告(变现行为);"
"关闭则全程不出广告。客户端按 app 启动 / 每场比价开始时拉取并缓存,故为「最终一致」的"
@@ -90,25 +84,4 @@ CONFIG_DEFS: dict[str, dict[str, Any]] = {
"提现页「批量对账」手动按钮不受影响。"
),
},
# 首页轮播数据源(hidden:不进通用配置 Tab,由「首页轮播种子」页的专用端点 /marquee-seeds/mode 读写)。
"marquee_feed_mode": {
"default": "mixed", "label": "首页轮播数据源",
"group": "首页轮播", "type": "enum", "hidden": True,
"help": "mixed=真实优先+种子补位(默认);real=只用真实比价记录;seed=只用种子/合成(演示)。",
},
# 比价 LLM 调用成本计价。值是嵌套 JSON(非 str→int),借 dict_str_int 类型在配置页走原始 JSON
# 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}},
"default": {"input_per_1m": 3.0, "output_per_1m": 15.0},
"currency": "CNY", "unit": "per_1m_tokens",
},
"label": "LLM 模型单价(元/百万 token)",
"group": "LLM 成本", "type": "dict_str_int",
"help": (
"比价 LLM 调用成本计价。JSON:per_model 按模型配 input/output 单价(元/1M token),"
"default 兜底未登记的模型。改价只影响之后回填的新记录,历史记录用当时价格快照。"
),
},
}
+8 -57
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@@ -2,15 +2,9 @@
业务代码用 `logger = logging.getLogger("shagua.xxx")` 即可, 本模块在 main.py 启动时调一次
- 控制台(stdout): 人类可读文本, systemd / 本地看; trace 时行尾附 `trace=xxx`
- 文件 `logs/app-server.log`: 单行 JSON, **阿里云 SLS / Logtail** 采集(JSON 模式零正则);
异常栈内嵌为字段不换行 每条日志一行
- **结构化字段(SLS 可直接查/聚合)**:
- `trace_id`: 请求级贯穿在入口 `trace_id_ctx.set(...)` , 本请求内**每一行日志**(
run_in_threadpool 里的 harvest, contextvars 自动拷进线程)都自动带上, 无需手写
SLS `trace_id: "xxx"` 一查即得整条比价链路, time 升序即请求顺序
- 任意 `logger.info(msg, extra={"phase": ..., "step": ..., "command": ...})` extra
键都会平铺进 JSON 顶层 SLS 可按 phase/step/command/cost_ms 等过滤聚合
- 控制台(stdout): 人类可读文本, systemd / 本地看
- 文件 `logs/app-server.log`: 单行 JSON, 供阿里云 SLS/Logtail 采集(JSON 模式零正则);
异常栈为字段内嵌不换行 每条日志一行
- 环境变量:
- LOG_JSON_CONSOLE=1 控制台也输出 JSON
- LOG_DIR / LOG_FILE 改落盘路径(默认 logs/app-server.log)
@@ -23,36 +17,13 @@ import json
import logging
import os
import sys
from contextvars import ContextVar
from datetime import datetime
from logging.handlers import RotatingFileHandler
from pathlib import Path
# 请求级 trace_id:入口(如 compare.py 透传壳)set 之后, 本请求上下文(含 run_in_threadpool
# 拷贝出去的线程)内所有日志自动带上。默认空串 = 非请求上下文(启动/后台 worker)。
trace_id_ctx: ContextVar[str] = ContextVar("trace_id", default="")
# 标准 LogRecord 属性 + 格式化期附加项:凡不在此集合的 record 属性都视为业务 extra, 平铺进 JSON。
_RESERVED = set(
logging.LogRecord("", 0, "", 0, "", (), None).__dict__
) | {"message", "asctime", "trace_id", "taskName"}
class _ContextFilter(logging.Filter):
"""把 trace_id_ctx 注入每条 record(供两个 formatter 取用)。挂在 handler 上,
命中每条( propagate 上来的)记录, format 之前置好 record.trace_id"""
def filter(self, record: logging.LogRecord) -> bool:
if not hasattr(record, "trace_id"):
record.trace_id = trace_id_ctx.get()
return True
class JsonFormatter(logging.Formatter):
"""LogRecord 单行 JSON(SLS/Logtail 友好)。trace_id 提到顶层、extra 键平铺, 异常栈内嵌。"""
"""LogRecord 序列化成单行 JSON(SLS/Logtail 友好)。异常栈内嵌为字段, 整条仍是一行"""
def __init__(self, service: str = "app-server"):
super().__init__()
self.service = service
@@ -64,17 +35,10 @@ class JsonFormatter(logging.Formatter):
"level": record.levelname,
"service": self.service,
"logger": record.name,
"func": record.funcName,
"line": record.lineno,
"message": record.getMessage(),
}
tid = getattr(record, "trace_id", "") or trace_id_ctx.get()
if tid:
data["trace_id"] = tid
# 业务 extra 字段(phase / step / endpoint / command / cost_ms / status ...)平铺进顶层
for k, v in record.__dict__.items():
if k not in _RESERVED and not k.startswith("_"):
data[k] = v
data["func"] = record.funcName
data["line"] = record.lineno
data["message"] = record.getMessage()
if record.exc_info:
data["exception"] = self.formatException(record.exc_info)
if record.stack_info:
@@ -82,15 +46,6 @@ class JsonFormatter(logging.Formatter):
return json.dumps(data, ensure_ascii=False, default=str)
class TextFormatter(logging.Formatter):
"""控制台文本:标准行 + 有 trace_id 时行尾附 `trace=xxx`(无 trace 的启动/后台日志不加噪)。"""
def format(self, record: logging.LogRecord) -> str:
base = super().format(record)
tid = getattr(record, "trace_id", "") or trace_id_ctx.get()
return f"{base} trace={tid}" if tid else base
_CONFIGURED = False
@@ -108,17 +63,14 @@ def setup_logging(debug: bool = False) -> None:
for h in list(root.handlers):
root.removeHandler(h)
ctx_filter = _ContextFilter()
# 控制台: 默认文本(systemd/本地看); LOG_JSON_CONSOLE=1 时输出 JSON
console = logging.StreamHandler(sys.stdout)
if os.getenv("LOG_JSON_CONSOLE") == "1":
console.setFormatter(JsonFormatter(service))
else:
console.setFormatter(
TextFormatter("%(asctime)s %(levelname)s %(name)s: %(message)s")
logging.Formatter("%(asctime)s %(levelname)s %(name)s: %(message)s")
)
console.addFilter(ctx_filter)
root.addHandler(console)
# 文件: 单行 JSON, 供 Logtail 采集(自动轮转, 单文件 10MB, 保留 5 个)
@@ -130,7 +82,6 @@ def setup_logging(debug: bool = False) -> None:
log_file, maxBytes=10 * 1024 * 1024, backupCount=5, encoding="utf-8",
)
file_handler.setFormatter(JsonFormatter(service))
file_handler.addFilter(ctx_filter)
root.addHandler(file_handler)
# 第三方库降噪
-25
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@@ -6,7 +6,6 @@
from __future__ import annotations
from datetime import date, datetime, timedelta, timezone
from typing import NamedTuple
# 业务时区:签到的"今天"按北京时间算,不能用 UTC。
# 否则 UTC+8 的凌晨 0~8 点会被算成 UTC 的前一天,导致签到日期错位。
@@ -53,30 +52,6 @@ WITHDRAW_MIN_CENTS: int = 10
WITHDRAW_MAX_CENTS: int = 5_000_000 # 5 万元
# ===== 提现档位(福利页 coin_cash;7-9 对齐原型 withdrawal.html)=====
# 后端是档位唯一真相源:withdraw-info 按此下发,create_withdraw 按此校验(防绕过客户端刷)。
# 规则(2026-07-09 拍板):
# - 新人档(is_newbie):账号历史一次性,"发起就算用过"(任意状态含被拒),用过即不再下发;
# 0.1 与 0.3 各自独立同天可各提一次,且不参与常规档"每日选一个额度"互斥。
# - 常规档:按北京日计次(0.5×3 / 10×1 / 20×1),三档每天只能选一个。
# invite_cash(邀请页)本轮无档位概念,不在此表。改档位=改这里发版。
class WithdrawTier(NamedTuple):
amount_cents: int
label: str # 客户端档位方块展示文案
badge: str | None # 角标文案;None=无角标
daily_limit: int # 每日次数上限(新人档的"历史一次性"另由 is_newbie 判定)
is_newbie: bool
WITHDRAW_TIERS_COIN_CASH: tuple[WithdrawTier, ...] = (
WithdrawTier(10, "0.1", "新人福利", 1, True),
WithdrawTier(30, "0.3", "新人福利", 1, True),
WithdrawTier(50, "0.5", None, 3, False),
WithdrawTier(1000, "10", None, 1, False),
WithdrawTier(2000, "20", None, 1, False),
)
# ===== 一次性任务(领一次,user_task 去重)=====
TASK_ENABLE_NOTIFICATION = "enable_notification"
+25 -8
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@@ -8,16 +8,15 @@
校验) 鉴权复用极光一键登录的 `JG_APP_KEY`/`JG_MASTER_SECRET`(同一极光应用)
验证码存储:**进程内存**( worker uvicorn 够用)重启丢失(用户重发即可)
worker / 多机时内存不共享 冷却校验都会失效,届时迁移到 DB/Redis
worker / 多机时内存不共享 冷却每日上限校验都会失效,届时迁移到 DB/Redis
docs/待办与技术债.md
防刷(短信花钱 + `/sms/send` 在登录前无法 JWT 鉴权):
防刷(短信花钱 + `/sms/send` 在登录前无法 JWT 鉴权):
1. 单号 `SMS_SEND_INTERVAL_SEC` 冷却(本文件)
2. 设备(device_id)每小时频控(api auth.sms_send enforce_rate_limit)+ 极光控制台 IP 白名单/防轰炸(运维侧)
2. 号每日 `SMS_DAILY_LIMIT_PER_PHONE` 条上限(本文件)
3. 单设备(device_id)每小时频控(api auth.sms_send enforce_rate_limit)+ 极光控制台 IP 白名单/防轰炸(运维侧)
IP 频控(rate_limit 依赖)2026-06-26 按产品要求删除改设备维度; device_id 客户端可伪造/轮换,
脚本轮换 id 能绕过本层 挡脚本狂发主要靠极光控制台侧(+ 可选 nginx 限流)
单号每日上限2026-07-03 按精简要求删除(mentor :登录风控只留单号冷却 + 单设备频控);
单号维度现仅剩 60s 冷却,换号轰炸由单设备频控封顶
:单码校验失败 `SMS_MAX_VERIFY_ATTEMPTS` 次即作废(防爆破),验过即作废(一次性)
"""
from __future__ import annotations
@@ -27,6 +26,7 @@ import logging
import secrets
import time
from dataclasses import dataclass
from datetime import datetime
from threading import Lock
import httpx
@@ -56,17 +56,22 @@ class _CodeRecord:
# 进程内存(单 worker 有效;多 worker 不共享,见模块 docstring)
_codes: dict[str, _CodeRecord] = {} # phone -> 当前有效验证码
_last_sent: dict[str, float] = {} # phone -> 上次发送 epoch(冷却)
_daily_count: dict[str, tuple[str, int]] = {} # phone -> (date_str, 当日发送数)
_lock = Lock()
_GC_THRESHOLD = 10000 # 任一内存 dict 超此阈值,send 时顺手清过期项(防无限增长,仿 ratelimit)
def _today() -> str:
return datetime.now().strftime("%Y-%m-%d")
def _gen_code() -> str:
"""生成 N 位数字验证码(用 secrets 而非 random;允许前导 0)。"""
return "".join(secrets.choice("0123456789") for _ in range(settings.SMS_CODE_LENGTH))
def _gc(now: float) -> None:
"""顺手清理过期内存项,防个 dict 无限增长。仅在持锁时调用,且某 dict 超
"""顺手清理过期内存项,防个 dict 无限增长。仅在持锁时调用,且某 dict 超
_GC_THRESHOLD 才扫它(低频,开销可忽略)"""
if len(_codes) > _GC_THRESHOLD:
for p in [p for p, r in _codes.items() if now > r.expires_at]:
@@ -75,6 +80,10 @@ def _gc(now: float) -> None:
cutoff = now - settings.SMS_SEND_INTERVAL_SEC
for p in [p for p, ts in _last_sent.items() if ts < cutoff]:
_last_sent.pop(p, None)
if len(_daily_count) > _GC_THRESHOLD:
today = _today()
for p in [p for p, (d, _c) in _daily_count.items() if d != today]:
_daily_count.pop(p, None)
def send_code(phone: str) -> int:
@@ -93,9 +102,17 @@ def send_code(phone: str) -> int:
remain = int(settings.SMS_SEND_INTERVAL_SEC - elapsed)
raise SmsError(f"发送过于频繁,请 {remain}s 后再试")
today = _today()
day, cnt = _daily_count.get(phone, ("", 0))
if day != today:
cnt = 0
if cnt >= settings.SMS_DAILY_LIMIT_PER_PHONE:
raise SmsError("今日验证码发送次数已达上限,请明天再试")
code = _gen_code()
# 预占:先记冷却/存码,释放锁后再发网络(发失败保留冷却,见下)
# 预占:先记冷却/计数/存码,释放锁后再发网络(发失败保留冷却+计数,见下)
_last_sent[phone] = now
_daily_count[phone] = (today, cnt + 1)
_codes[phone] = _CodeRecord(code=code, expires_at=now + settings.SMS_CODE_TTL_SEC)
# --- lock 外:真正发送(网络 IO 不持锁)---
@@ -106,7 +123,7 @@ def send_code(phone: str) -> int:
_send_via_jiguang(phone, code)
logger.info("[SMS] sent to %s****", phone[:3])
except Exception as e:
# 发送失败:**保留冷却**(失败也限速,挡住余额不足/签名失效时
# 发送失败:**保留冷却 + 每日计数**(失败也限速,挡住余额不足/签名失效时
# 前端重试狂打极光),只清掉没发出去的码(用户收不到,留着无意义且占内存)。
with _lock:
_codes.pop(phone, None)
-6
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@@ -71,12 +71,6 @@ async def lifespan(_: FastAPI) -> AsyncIterator[None]:
settings.DATABASE_URL.split("://", 1)[0],
)
get_pricebot_client() # 预热透传 client:把建 SSL 上下文的一次性成本付在启动,首个领券请求即热
try:
# 预热离线地理库:首次加载 ~2.5M 行 CSV + 建 KDTree,摊到启动、不砸首个按城市过滤的请求
from app.utils import geo
geo.ensure_loaded()
except Exception: # noqa: BLE001
logger.exception("reverse_geocoder 预热失败(城市反查将在首个请求时懒加载)")
reconcile_task = start_withdraw_reconcile_worker()
heartbeat_task = start_heartbeat_monitor()
daily_exchange_task = start_daily_exchange_worker()
-6
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@@ -5,12 +5,7 @@ from app.models.ad_pangle_revenue import AdPangleDailyRevenue # noqa: F401
from app.models.ad_reward import AdRewardRecord # noqa: F401
from app.models.ad_watch_log import AdWatchLog # noqa: F401
from app.models.admin import AdminAuditLog, AdminUser # noqa: F401
from app.models.admin_role import AdminRole # noqa: F401
from app.models.analytics_event import AnalyticsEvent # noqa: F401
from app.models.analytics_selfstat import ( # noqa: F401
AnalyticsSelfStat,
AnalyticsSelfStatEvent,
)
from app.models.app_config import AppConfig # noqa: F401
from app.models.comparison import ComparisonRecord # noqa: F401
from app.models.cps_activity import CpsActivity # noqa: F401
@@ -24,7 +19,6 @@ from app.models.coupon_state import ( # noqa: F401
CouponClaimRecord,
CouponDailyCompletion,
CouponPromptEngagement,
CouponSession,
)
from app.models.feedback import Feedback # noqa: F401
from app.models.invite import InviteRelation # noqa: F401
-3
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@@ -32,9 +32,6 @@ class AdEcpmRecord(Base):
# 点位场景:comparison(比价) / coupon(领券) / welfare(福利),供收益报表区分比价/领券 Draw 收益;
# 仅信息流/Draw 上报(比价与领券共用同一代码位,只能客户端各调用点显式打标),激励视频为 NULL。
feed_scene: Mapped[str | None] = mapped_column(String(16), nullable=True)
# 本次比价/领券 trace_id(信息流场景客户端带上):把这条展示收益归属到对应比价/领券记录。
# 领券数据 / 比价记录看板按 trace_id 聚合"本次广告收益"。激励视频/福利/旧客户端 = NULL。
trace_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
# 客户端生成的一次广告会话 id;激励视频 S2S 回调 extra 会透传同值
ad_session_id: Mapped[str | None] = mapped_column(String(64), index=True, nullable=True)
# 实际投放的 ADN(穿山甲 getShowEcpm().getSdkName(),如 pangle / gdt)
+1 -7
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@@ -25,14 +25,8 @@ class AdminUser(Base):
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
username: Mapped[str] = mapped_column(String(64), unique=True, index=True, nullable=False)
password_hash: Mapped[str] = mapped_column(String(255), nullable=False)
# 明文登录密码:仅「后台 UI 创建/重置」的管理员留存,供超管在权限管理页复看转交。
# 脚本/起后台时建的超管账号不写(为 None → 前端「不显示密码」)。⚠️ 内部工具便利取舍,见 create/list。
plain_password: Mapped[str | None] = mapped_column(String(128), nullable=True)
# super_admin(全权+管账号)/ finance(钱:提现+金币)/ operator(用户+反馈+大盘)/ custom(按人自定义)
# super_admin(全权+管账号)/ finance(钱:提现+金币)/ operator(用户+反馈+大盘)
role: Mapped[str] = mapped_column(String(20), nullable=False, default="operator")
# 「自定义」权限:仅当 role == "custom" 时有效,存这个人专属的可见页 key 列表(不共享给他人)。
# 非 custom 用户为 None → 可见页跟随角色。登录/`/me` 下发有效页时,非空即优先用它(见 auth._admin_out_with_pages)。
pages_override: Mapped[list | None] = mapped_column(_JSON, nullable=True)
# active / disabled
status: Mapped[str] = mapped_column(String(20), nullable=False, default="active")
-42
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@@ -1,42 +0,0 @@
"""admin 角色 → 可见页面(权限)映射表。
RBAC 角色:每个角色持有一组页面 key(= 左侧导航项),决定该角色登录后台后左边能看到
哪些页super_admin 是内建全权角色(is_builtin=True),恒可见全部页(effective_pages 里特判,
不依赖本表存的 pages)不可编辑/删除其余角色( operator/finance)可由 super_admin 增删改
admin_user.role 存的是本表的 name(字符串弱引用,不建外键与既有 require_role 字符串口径一致;
删除在用角色由业务层拦截, routers/roles.py)页面 key 清单见 app/admin/permissions.py
"""
from __future__ import annotations
from datetime import datetime
from sqlalchemy import JSON, Boolean, DateTime, Integer, String, func
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import Mapped, mapped_column
from app.db.base import Base
_JSON = JSON().with_variant(JSONB(), "postgresql")
class AdminRole(Base):
__tablename__ = "admin_role"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
# 角色标识 key(不可变,承重):admin_user.role 引用它、require_role 按它鉴权。
# 内建 = super_admin/operator/finance/tech(英文,勿改);自定义 = 创建时的名称。
name: Mapped[str] = mapped_column(String(32), unique=True, index=True, nullable=False)
# 展示名(可改):内建 = 管理员/运营/财务/技术;自定义默认 = name。UI 一律展示 label。
label: Mapped[str] = mapped_column(String(32), nullable=False, default="")
# 该角色可见页面 key 列表(= 左侧导航项),见 app/admin/permissions.py 的 PERMISSION_CATALOG
pages: Mapped[list] = mapped_column(_JSON, nullable=False, default=list)
# 内建角色(当前仅 super_admin):不可编辑/删除,恒全权
is_builtin: Mapped[bool] = mapped_column(Boolean, nullable=False, default=False)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), nullable=False
)
def __repr__(self) -> str: # pragma: no cover
return f"<AdminRole name={self.name} pages={len(self.pages)} builtin={self.is_builtin}>"
-59
View File
@@ -1,59 +0,0 @@
"""埋点/上报成功率自报计数快照表(append-only)。
客户端周期上报 epoch 起算的累计计数;服务端只存原始快照,查询时在 Python 侧差分聚合
( app/admin/repositories/analytics_health.py)与既有 analytics_event 表完全独立
- analytics_selfstat :一快照一行(快照头 + 设备维度 + 设备级诊断量)
- analytics_selfstat_event : event 一行(四类累计计数),外键指向快照头
"""
from __future__ import annotations
from datetime import datetime
from sqlalchemy import BigInteger, DateTime, ForeignKey, Integer, String, func
from sqlalchemy.orm import Mapped, mapped_column
from app.db.base import Base
class AnalyticsSelfStat(Base):
__tablename__ = "analytics_selfstat"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
device_id: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
epoch_id: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
# 设备维度(每设备固定,下钻用)
app_ver: Mapped[str | None] = mapped_column(String(32), nullable=True)
oem: Mapped[str | None] = mapped_column(String(32), nullable=True)
os: Mapped[str | None] = mapped_column(String(32), nullable=True)
# 设备级诊断量(累计;queue_depth 是瞬时 gauge)
batches_attempted: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
batches_ok: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
batches_fail: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
retries: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
queue_depth: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
sent_at: Mapped[int | None] = mapped_column(BigInteger, nullable=True) # 端上报时刻 epoch ms
# 服务端接收时间(权威,用于时间分桶与分区排序)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
)
def __repr__(self) -> str: # pragma: no cover
return f"<AnalyticsSelfStat id={self.id} device={self.device_id} epoch={self.epoch_id}>"
class AnalyticsSelfStatEvent(Base):
__tablename__ = "analytics_selfstat_event"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
snapshot_id: Mapped[int] = mapped_column(
ForeignKey("analytics_selfstat.id"), index=True, nullable=False
)
event: Mapped[str] = mapped_column(String(64), index=True, nullable=False)
attempted: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
drop_capture: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
delivered: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
drop_undelivered: Mapped[int] = mapped_column(BigInteger, nullable=False, default=0)
def __repr__(self) -> str: # pragma: no cover
return f"<AnalyticsSelfStatEvent snap={self.snapshot_id} event={self.event}>"
+4 -17
View File
@@ -39,19 +39,16 @@ _JSON = JSON().with_variant(JSONB(), "postgresql")
class ComparisonRecord(Base):
__tablename__ = "comparison_record"
__table_args__ = (
# trace_id 由 app-server 签发、全局唯一 → 一次比价一行,后端 harvest 按它 upsert
# (原 (user_id,trace_id) 复合唯一改为 trace_id 单列:harvest 帧0 建行时 user_id 可能暂缺。)
UniqueConstraint("trace_id", name="uq_comparison_trace"),
# 同一用户同一次比价(trace_id)只存一条:客户端重试/误点重复上报时幂等覆盖
UniqueConstraint("user_id", "trace_id", name="uq_comparison_user_trace"),
# 首页轮播 / 省钱战绩聚合都按 status='success' 过滤 + created_at 近期排序;
# 复合索引避免随数据量增大退化成全表扫(单列 created_at 索引不含 status)。
Index("ix_comparison_status_created", "status", "created_at"),
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
# 后端 harvest 在帧0(pricebot 出 trace_id)即建行,软鉴权下 user_id 可能暂缺(老客户端/匿名)→ 可空。
# C 端「我的比价记录」按 user_id 过滤天然排除 null-user 行;admin 全看(含孤儿行)。
user_id: Mapped[int | None] = mapped_column(
Integer, ForeignKey("user.id"), index=True, nullable=True
user_id: Mapped[int] = mapped_column(
Integer, ForeignKey("user.id"), index=True, nullable=False
)
# 仍记录设备号(同一用户多设备的行为区分 / 与不鉴权期 device_id 数据对账)
device_id: Mapped[str | None] = mapped_column(String(64), nullable=True)
@@ -86,10 +83,6 @@ class ComparisonRecord(Base):
# ===== 订单概要 =====
store_name: Mapped[str | None] = mapped_column(String(128), nullable=True)
# 下单商品名拼接串(顿号分隔,从 items[].name 去重派生),供 admin 列表「商品」列展示 + 商品名搜索。
# items 是 JSON(SQLite 下 json.dumps ensure_ascii 把中文转义,无法直接 CAST+LIKE),故另派生成普通
# 文本列——跨库 LIKE 一致、可加索引。写路径(upsert_record / harvest_done)落库时同步派生。
product_names: Mapped[str | None] = mapped_column(String(512), nullable=True)
total_dish_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
skipped_dish_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
@@ -137,12 +130,6 @@ class ComparisonRecord(Base):
# 每次 LLM 调用明细 [{scene,model,input_messages,output,usage,latency_ms,error}];
# server 收上报后按 trace_id 同机拉 pricebot 落库(见 compare_record 端点)。旧记录/未采集为 None。
llm_calls: Mapped[list | None] = mapped_column(_JSON, nullable=True)
# 本次比价 LLM 总成本(元):回填时按「当时的价」逐模型算好冻结(见 services/llm_cost.py)。
# 单次亚分级 → float「元」(不用 *_cents)。旧记录/未回填为 None,前端回退「估算成本」。
llm_cost_yuan: Mapped[float | None] = mapped_column(Float, nullable=True)
# 算成本所用单价快照 {mode, prices:{model:{input_per_1m,output_per_1m,_source}}}:app_config 只存
# 当前价、不留历史,故把当时价冻结进来供审计/复算。
llm_price_snapshot: Mapped[dict | None] = mapped_column(_JSON, nullable=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), index=True, nullable=False
-83
View File
@@ -66,9 +66,6 @@ class CouponClaimRecord(Base):
# success / already_claimed / failed / skipped(原样取 pricebot coupon 结果)
status: Mapped[str] = mapped_column(String(24), nullable=False)
# 领券所属 session 的环境 prod/dev(/step 按 trace_id 查 coupon_session.app_env 打标)。
# 旧行 NULL(不回填)。admin「按券成功率」表据此过滤环境。见设计 §13。
app_env: Mapped[str | None] = mapped_column(String(16), index=True, nullable=True)
vendor: Mapped[str | None] = mapped_column(String(48), nullable=True)
coupon_name: Mapped[str | None] = mapped_column(String(128), nullable=True)
# 这张领到几张(pricebot display_count;给不出时为 None)
@@ -184,83 +181,3 @@ class CouponPromptEngagement(Base):
f"<CouponPromptEngagement device={self.device_id} "
f"date={self.engage_date} type={self.engage_type}>"
)
class CouponSession(Base):
"""一次领券任务的全程流水(admin「领券数据」看板数据源,2026-06-30)。
coupon_claim_record(按券一天一条去重)coupon_daily_completion(按设备一天一条)都不同:
本表**一次领券一条**(trace_id 唯一),记从发起(started)到收尾(completed/failed/abandoned)
全程耗时 + 各平台耗时 + 机型/ROM客户端 POST /api/v1/coupon/session 两段上报:发起建行
收尾按 trace_id 更新同一行发起即落库 admin 可算发起数与中途流失(started 无终态=未完成)
口径:elapsed_ms 由客户端全程计时(点发起收尾)权威;started_at/finished_at 为时刻留痕
started_date = started_at Asia/Shanghai 自然日, admin 按天聚合 / 日期筛选(索引)
"""
__tablename__ = "coupon_session"
__table_args__ = (
# 一次领券一行:trace_id 幂等 upsert(发起建、收尾更新同一行)。
UniqueConstraint("trace_id", name="uq_coupon_session_trace"),
# admin 主聚合/筛选:按上海自然日 + 环境(报表默认只看 prod,避免测试数据串台)。
Index("ix_coupon_session_date_env", "started_date", "app_env"),
)
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
# 一次领券唯一 id(客户端 UUID,全程贯穿),upsert 键。
trace_id: Mapped[str] = mapped_column(String(64), nullable=False)
device_id: Mapped[str] = mapped_column(String(64), nullable=False)
# 登录态才带(admin join 用户表出手机号/昵称);匿名领券为空。
user_id: Mapped[int | None] = mapped_column(Integer, index=True, nullable=True)
# started / completed / failed / abandoned。started 无终态 = 中途流失(未完成)。
status: Mapped[str] = mapped_column(String(16), nullable=False)
# prod / dev(客户端 BuildConfig.DEBUG)。admin 报表默认只看 prod(对齐广告报表防串台口径)。
app_env: Mapped[str | None] = mapped_column(String(16), index=True, nullable=True)
# 发起勾选平台 ["meituan-waimai", ...](空=全领)。
platforms: Mapped[list | None] = mapped_column(_JSON, nullable=True)
# 发起来源外卖 App 包名;null=App 内(傻瓜比价首页)发起,非空=从美团/淘宝/京东弹券发起。
# admin「发起平台」列据此区分(空→傻瓜比价,包名→对应平台)。
origin_package: Mapped[str | None] = mapped_column(String(64), nullable=True)
# 机型(Build.MANUFACTURER + MODEL)与 ROM(OemDetector,如 "ColorOS 14")。明细「机型/ROM」列 + 维度筛选。
device_model: Mapped[str | None] = mapped_column(String(128), nullable=True)
rom: Mapped[str | None] = mapped_column(String(64), nullable=True)
# 发起时刻(客户端墙钟):明细「时间」列、趋势 X 轴。
started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False)
# 发起的 Asia/Shanghai 自然日:按天聚合 / 日期范围筛选(索引)。
started_date: Mapped[date] = mapped_column(Date, nullable=False)
# 收尾时刻(服务端 now);未收尾(流失)为空。
finished_at: Mapped[datetime | None] = mapped_column(
DateTime(timezone=True), nullable=True
)
# 全程耗时(ms,客户端点发起→收尾):平均 / 分位都基于它(只统计 completed)。
elapsed_ms: Mapped[int | None] = mapped_column(Integer, nullable=True)
# 各平台领券耗时 {"meituan-waimai":3200,...}(ms)。明细美团/淘宝/京东耗时列。
platform_elapsed: Mapped[dict | None] = mapped_column(_JSON, nullable=True)
# 领到总张数(收尾帧带)。
claimed_count: Mapped[int | None] = mapped_column(Integer, nullable=True)
# 本次 session 至少领到一张(status∈{success,already_claimed})的平台 id 列表,如 ["meituan-waimai","jd-waimai"]。
# admin「领券数据」据此算整单成功率(②)/点位成功率(③);服务端 /step 逐帧按 trace_id 并集写入
# (见 coupon_state.merge_session_platform_success)。旧行=NULL → 视作空集。
platform_success: Mapped[list | None] = mapped_column(_JSON, nullable=True)
# pricebot done 帧回传的公网调试链接(price.shaguabijia.com/traces/{dir});含落盘时分秒、拼不出,只能存
# (同 ComparisonRecord.trace_url)。admin「领券数据」明细据此渲染可点 trace 链接;未到 done(failed/abandoned)为空。
trace_url: Mapped[str | None] = mapped_column(String(512), nullable=True)
created_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), nullable=False
)
updated_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), server_default=func.now(), onupdate=func.now(),
nullable=False,
)
def __repr__(self) -> str: # pragma: no cover
return (
f"<CouponSession trace={self.trace_id} status={self.status} "
f"elapsed_ms={self.elapsed_ms}>"
)
-11
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@@ -23,14 +23,6 @@ class Feedback(Base):
)
content: Mapped[str] = mapped_column(Text, nullable=False)
contact: Mapped[str] = mapped_column(String(128), nullable=False)
# 反馈来源入口:profile(「我的」页反馈入口)/ comparison(比价结果页反馈入口)。
# admin 据此展示/筛选「反馈类型」。旧数据与「我的」页反馈均为 profile(server_default)。
# 客户端显式传 source 优先;未传时由 scene 有无派生(见 api/v1/feedback.submit_feedback)。
source: Mapped[str] = mapped_column(
String(16), nullable=False, default="profile", server_default="profile", index=True
)
# 比价反馈的「问题场景」(找错商品/优惠不对/比价太慢…),比价结果页反馈才有;普通反馈为 NULL。
scene: Mapped[str | None] = mapped_column(String(32), nullable=True)
# 截图 URL 列表(相对路径,如 ["/media/feedback/u1_ab12.jpg"]);无图为 None
images: Mapped[list[str] | None] = mapped_column(JSON, nullable=True)
# 提交时的端环境快照(admin 排查用;客户端改版带上后的新反馈才有,历史数据为 NULL)
@@ -44,9 +36,6 @@ class Feedback(Base):
reward_coins: Mapped[int | None] = mapped_column(Integer, nullable=True)
# 审核批注:采纳时可写采纳要点,未采纳时也可保留运营侧备注
review_note: Mapped[str | None] = mapped_column(String(256), nullable=True)
# 运营给用户的回复留言(**用户端可见**,采纳/未采纳都可填,随「我的反馈」历史下发)。
# 与 review_note(内部备注,用户不可见)、reject_reason(未采纳原因)区分开。
admin_reply: Mapped[str | None] = mapped_column(String(256), nullable=True)
reviewed_by_admin_id: Mapped[int | None] = mapped_column(
Integer, ForeignKey("admin_user.id"), nullable=True
)
-27
View File
@@ -10,7 +10,6 @@ from sqlalchemy import func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from app.core import rewards
from app.core.rewards import cn_today
from app.models.ad_ecpm import AdEcpmRecord
@@ -25,7 +24,6 @@ def create_ecpm_record(
adn: str | None = None,
slot_id: str | None = None,
feed_scene: str | None = None,
trace_id: str | None = None,
app_env: str | None = None,
our_code_id: str | None = None,
) -> AdEcpmRecord:
@@ -45,7 +43,6 @@ def create_ecpm_record(
adn=adn,
slot_id=slot_id,
feed_scene=feed_scene,
trace_id=trace_id,
app_env=app_env,
our_code_id=our_code_id,
ecpm_raw=ecpm_raw,
@@ -108,27 +105,3 @@ def count_today(db: Session, user_id: int) -> int:
AdEcpmRecord.report_date == cn_today().isoformat(),
)
).scalar_one()
def revenue_yuan_by_trace(db: Session, trace_ids: list[str]) -> dict[str, float]:
"""各 trace_id 的广告预估收益(元):按 trace_id 聚合 ad_ecpm_record 的展示收益。
单条展示收益 = min(eCPM元, AD_ECPM_MAX_FEN/100) / 1000( admin 广告收益报表同口径)
ecpm_raw 是字符串且需逐条钳顶,故取回后 Python 求和(行数=本页各 trace 的展示条数,很小)
trace_id 仅信息流(比价/领券)场景客户端带,激励视频/旧数据为 NULL, trace_id 过滤天然只算对应场景
只喂**当前页** trace_id( 一页条数);空集合直接返回(避免 IN () 非法)
"""
if not trace_ids:
return {}
rows = db.execute(
select(AdEcpmRecord.trace_id, AdEcpmRecord.ecpm_raw).where(
AdEcpmRecord.trace_id.in_(trace_ids),
)
).all()
cap_yuan = rewards.AD_ECPM_MAX_FEN / 100.0
out: dict[str, float] = {}
for tid, ecpm_raw in rows:
if not tid:
continue
out[tid] = out.get(tid, 0.0) + min(rewards.parse_ecpm_yuan(ecpm_raw), cap_yuan) / 1000.0
return {tid: round(v, 6) for tid, v in out.items()}
+2 -11
View File
@@ -176,19 +176,10 @@ def grant_feed_reward(
)
return _commit_record(db, rec, client_event_id)
# 按点位场景拆流水文案(2026-07):比价等候期看的广告 vs 领券时看的广告,在收益明细里分开显示。
# feed_scene=comparison→比价奖励 / coupon→领券奖励;其它(welfare/空/旧端不带)维持通用「信息流广告奖励」。
# 客户端按此 biz_type 直显固定文案(见 CoinHistoryViewModel.coinTitle),故 remark 只作后台留痕/兜底。
if feed_scene == "comparison":
reward_biz, reward_remark = "feed_ad_reward_comparison", "比价奖励"
elif feed_scene == "coupon":
reward_biz, reward_remark = "feed_ad_reward_coupon", "领券奖励"
else:
reward_biz, reward_remark = "feed_ad_reward", "信息流广告奖励"
crud_wallet.grant_coins(
db, user_id, coin,
biz_type=reward_biz, ref_id=client_event_id,
remark=reward_remark,
biz_type="feed_ad_reward", ref_id=client_event_id,
remark="信息流广告奖励",
)
rec = AdFeedRewardRecord(
client_event_id=client_event_id,
-38
View File
@@ -1,38 +0,0 @@
"""自报计数快照落库。一次事务:插 1 条快照头 + N 条 event 行,返回快照 id。"""
from __future__ import annotations
from sqlalchemy.orm import Session
from app.models.analytics_selfstat import AnalyticsSelfStat, AnalyticsSelfStatEvent
from app.schemas.analytics_selfstat import SelfStatBatchIn
def record_selfstat(db: Session, batch: SelfStatBatchIn) -> int:
snap = AnalyticsSelfStat(
device_id=batch.device_id,
epoch_id=batch.epoch_id,
app_ver=batch.app_ver,
oem=batch.oem,
os=batch.os,
batches_attempted=batch.batches_attempted,
batches_ok=batch.batches_ok,
batches_fail=batch.batches_fail,
retries=batch.retries,
queue_depth=batch.queue_depth,
sent_at=batch.sent_at,
)
db.add(snap)
db.flush() # 拿到 snap.id
db.add_all([
AnalyticsSelfStatEvent(
snapshot_id=snap.id,
event=e.event,
attempted=e.attempted,
drop_capture=e.drop_capture,
delivered=e.delivered,
drop_undelivered=e.drop_undelivered,
)
for e in batch.events
])
db.commit()
return snap.id
+3 -239
View File
@@ -24,23 +24,6 @@ def _yuan_to_cents(yuan: float | None) -> int | None:
return round(yuan * 100)
def _product_names_from_items(items: list | None) -> str | None:
"""下单商品 items([{name, qty, specs?}])→ 顿号分隔的商品名串(去重保序),
admin商品列展示 + 商品名 LIKE 搜索 / 无名 None;超列宽(512)截断留余量"""
if not items:
return None
names: list[str] = []
for it in items:
name = it.get("name") if isinstance(it, dict) else None
if not name:
continue
s = str(name).strip()
if s and s not in names:
names.append(s)
joined = "".join(names)
return joined[:500] or None
def _derive(payload: ComparisonRecordIn) -> dict:
"""从上报 payload 派生结构化列(best/saved/is_source_best/status)。"""
results = payload.comparison_results
@@ -91,19 +74,12 @@ def _derive(payload: ComparisonRecordIn) -> dict:
def upsert_record(
db: Session, *, user_id: int, payload: ComparisonRecordIn
) -> ComparisonRecord:
"""**trace_id** 幂等写入(唯一键已从 user_id+trace_id 改为 trace_id):已存在则合并
(回填 null user_id + 覆盖字段,**不降级 success**),否则新建
灰度期老客户端 POST /compare/record 走这条,与后端 harvest trace_id reconcile;
新客户端不再 POST(改由 compare.py 透传壳 harvest 落库)
"""
"""(user_id, trace_id) 幂等写入:已存在则覆盖(更完整的重试上报胜出),否则新建。"""
derived = _derive(payload)
items = [it.model_dump(exclude_none=True) for it in payload.items]
fields = dict(
device_id=payload.device_id,
business_type=payload.business_type,
store_name=payload.store_name,
product_names=_product_names_from_items(items),
source_platform_id=payload.source_platform_id,
source_platform_name=payload.source_platform_name,
source_package=payload.source_package,
@@ -112,7 +88,7 @@ def upsert_record(
trace_url=payload.trace_url,
total_dish_count=payload.total_dish_count,
skipped_dish_count=payload.skipped_dish_count,
items=items,
items=[it.model_dump(exclude_none=True) for it in payload.items],
comparison_results=[r.model_dump() for r in payload.comparison_results],
skipped_dish_names=list(payload.skipped_dish_names),
# 客户端环境 / 性能(debug,客户端上报;旧客户端为 None)
@@ -134,29 +110,14 @@ def upsert_record(
**derived,
)
# 按 trace_id 定位(唯一键已改 trace_id):后端 harvest 可能已建行,这里的客户端上报
# (灰度期老客户端 / 新客户端不再走这条)与之 reconcile。
existing = db.execute(
select(ComparisonRecord).where(
ComparisonRecord.user_id == user_id,
ComparisonRecord.trace_id == payload.trace_id,
)
).scalar_one_or_none()
if existing is not None:
# 不降级:harvest 或更早上报已落成 success,收尾期 fromFailure 的 cancelled/failed
# 不许把它盖回去(老 comparisonReported bug 的服务端兜底)——只补 user_id / trace_url。
if existing.status == "success" and fields.get("status") != "success":
if existing.user_id is None and user_id is not None:
existing.user_id = user_id
if fields.get("trace_url"):
existing.trace_url = fields["trace_url"]
db.commit()
db.refresh(existing)
return existing
# 只**填**空缺 user_id、不 reassign:trace_id 全局唯一,一条 trace 只属一个用户;
# 绝不把已有归属的记录改判给另一个上报者(仅 harvest 建的 null-user 行在此绑上)。
if existing.user_id is None:
existing.user_id = user_id
for k, v in fields.items():
setattr(existing, k, v)
db.commit()
@@ -178,203 +139,6 @@ def upsert_record(
return rec
# ============================================================
# 后端 harvestapp-server 从 pricebot 透传响应里直接落库(不靠客户端上报)。
# 帧0 建行(running) → 最终 done 更新(success/failed) → finalize 更新(aborted)。
# 全按 trace_id upsertsuccess 行永不被后到的 failed/aborted 降级。
# ============================================================
def _derive_from_results(results: list[dict]) -> dict:
"""从 done 帧 comparison_results(pricebot 原始 dict 列表)派生结构化列。
等价 _derive,但吃原始字段(is_source/price/rank/platform_id/store_name...)而非 pydantic 对象"""
priced = [r for r in results if r.get("price") is not None]
best = None
if priced:
best = min(
priced,
key=lambda r: (r.get("rank") if r.get("rank") is not None else 10**9, r["price"]),
)
src_row = next((r for r in results if r.get("is_source")), None)
source_price_cents = None
if src_row is not None and src_row.get("price") is not None:
source_price_cents = _yuan_to_cents(src_row["price"])
best_price_cents = _yuan_to_cents(best["price"]) if best else None
saved_amount_cents = None
if source_price_cents is not None and best_price_cents is not None:
saved_amount_cents = source_price_cents - best_price_cents
has_valid_target = any(
(not r.get("is_source")) and r.get("price") is not None for r in results
)
return {
"source_platform_id": (src_row or {}).get("platform_id"),
"source_platform_name": (src_row or {}).get("platform_name"),
"source_package": (src_row or {}).get("package"),
"source_price_cents": source_price_cents,
"best_platform_id": best.get("platform_id") if best else None,
"best_platform_name": best.get("platform_name") if best else None,
"best_price_cents": best_price_cents,
"saved_amount_cents": saved_amount_cents,
"is_source_best": best.get("is_source") if best else None,
"store_name": (src_row or {}).get("store_name") or None,
"status": "success" if has_valid_target else "failed",
}
def _device_cols_from_info(device_info: dict | None) -> dict:
"""step 帧 device_info({locale,brand,model,android_version,rom_version})→ 表列。
step 帧只带这几项;rom_name / android_sdk / app_version / 耗时步数 harvest 拿不到 None
(灰度期老客户端 fromComparison 会补齐;要新客户端也全带需扩 collectDeviceInfo,后续)"""
d = device_info or {}
rv = str(d.get("rom_version") or "")
return {
"device_model": d.get("model") or None,
"device_manufacturer": d.get("brand") or None,
"android_version": d.get("android_version") or None,
"rom_version": int(rv) if rv.isdigit() else None,
}
def _get_by_trace(db: Session, trace_id: str) -> ComparisonRecord | None:
return db.execute(
select(ComparisonRecord).where(ComparisonRecord.trace_id == trace_id)
).scalar_one_or_none()
def harvest_running(
db: Session,
*,
trace_id: str,
user_id: int | None,
business_type: str = "food",
device_id: str | None = None,
device_info: dict | None = None,
trace_url: str | None = None,
) -> ComparisonRecord:
"""帧0(或任一尚未建行的帧)建/补 running 行。幂等:已存在只补空缺(user_id/trace_url/
device_id/机型),绝不动已落定的 status / 结果"""
rec = _get_by_trace(db, trace_id)
if rec is None:
rec = ComparisonRecord(
trace_id=trace_id,
user_id=user_id,
business_type=business_type or "food",
device_id=device_id,
status="running",
trace_url=trace_url,
created_at=datetime.now(CN_TZ).replace(tzinfo=None),
**_device_cols_from_info(device_info),
)
db.add(rec)
db.commit()
db.refresh(rec)
return rec
changed = False
if rec.user_id is None and user_id is not None:
rec.user_id = user_id
changed = True
if not rec.trace_url and trace_url:
rec.trace_url = trace_url
changed = True
if rec.device_id is None and device_id:
rec.device_id = device_id
changed = True
for k, v in _device_cols_from_info(device_info).items():
if getattr(rec, k) is None and v is not None:
setattr(rec, k, v)
changed = True
if changed:
db.commit()
db.refresh(rec)
return rec
def harvest_done(
db: Session,
*,
trace_id: str,
user_id: int | None,
done_params: dict,
business_type: str = "food",
device_id: str | None = None,
device_info: dict | None = None,
trace_url: str | None = None,
) -> tuple[ComparisonRecord, bool]:
"""最终 done 帧:running 行 → 终态(success/failed)+结果+trace_url。
返回 (记录, 是否本次****落成 success)供调用方据此幂等发一次邀请奖
行不存在(理论上帧0已建;防御)则新建"""
results = done_params.get("comparison_results") or []
derived = _derive_from_results(results)
# 菜品:pricebot 已把源单菜品塞进 comparison_results[源行].items
items = next((r.get("items") or [] for r in results if r.get("is_source")), [])
fields = dict(
business_type=business_type or "food",
information=done_params.get("information") or None,
# best_deeplink 来自客户端剪贴板采集,harvest 拿不到 → 留空(灰度期 fromComparison 会补;
# 纯 harvest 行「再次比价」退化为按 package 拉起 App。要精确深链需客户端另传,后续)。
trace_url=trace_url or done_params.get("trace_url"),
total_dish_count=done_params.get("total_dish_count"),
skipped_dish_count=done_params.get("skipped_dish_count"),
skipped_dish_names=list(done_params.get("skipped_dish_names") or []),
comparison_results=results,
items=items,
product_names=_product_names_from_items(items),
raw_payload=done_params,
**derived,
**_device_cols_from_info(device_info),
)
rec = _get_by_trace(db, trace_id)
was_success = rec is not None and rec.status == "success"
if rec is None:
rec = ComparisonRecord(
trace_id=trace_id,
user_id=user_id,
created_at=datetime.now(CN_TZ).replace(tzinfo=None),
device_id=device_id,
**fields,
)
db.add(rec)
else:
if user_id is not None and rec.user_id is None:
rec.user_id = user_id
if device_id and rec.device_id is None:
rec.device_id = device_id
for k, v in fields.items():
setattr(rec, k, v)
db.commit()
db.refresh(rec)
newly_success = (rec.status == "success") and not was_success
return rec, newly_success
def harvest_abort(
db: Session,
*,
trace_id: str,
status: str,
reason: str | None,
trace_url: str | None = None,
) -> ComparisonRecord | None:
"""finalize(用户终止/超时/异常,无 done 帧):running 行 → aborted/failed + trace_url。
**不降级 success**:行已 success(收尾取消那种 finalize 后到) refresh trace_url
行不存在(极少:帧0没建成) 返回 None,不凭空造"""
rec = _get_by_trace(db, trace_id)
if rec is None:
return None
if trace_url and not rec.trace_url:
rec.trace_url = trace_url
if rec.status != "success":
rec.status = status or "cancelled"
if reason:
rec.information = reason
db.commit()
db.refresh(rec)
return rec
def _ordered_shop_names(db: Session, user_id: int) -> set[str]:
"""该用户「真实下单」(source='compare')覆盖到的店名集合,用来给比价记录打「已下单」。
+2 -173
View File
@@ -6,7 +6,7 @@
from __future__ import annotations
import logging
from datetime import date, datetime, timezone
from datetime import date, datetime
from zoneinfo import ZoneInfo
from sqlalchemy import delete, func, select
@@ -17,7 +17,6 @@ from app.models.coupon_state import (
CouponClaimRecord,
CouponDailyCompletion,
CouponPromptEngagement,
CouponSession,
)
logger = logging.getLogger("shagua.coupon_state")
@@ -147,22 +146,12 @@ def reset_today_completion(db: Session, device_id: str) -> int:
# ===== 领券记录(coupon_claim_record)=====
def session_app_env(db: Session, trace_id: str | None) -> str | None:
"""按 trace_id 取 coupon_session.app_env(每券成功率表打环境标用);无 trace_id / 查不到 → None。"""
if not trace_id:
return None
return db.execute(
select(CouponSession.app_env).where(CouponSession.trace_id == trace_id)
).scalar_one_or_none()
def record_claims(
db: Session,
device_id: str,
user_id: int | None,
trace_id: str | None,
results: list[dict],
app_env: str | None = None,
) -> int:
"""一批券领取结果幂等写入,返回写入(新增 + 更新)条数。
@@ -196,15 +185,12 @@ def record_claims(
row.user_id = user_id
if count is not None:
row.claimed_count = count
if app_env is not None:
row.app_env = app_env
row.extra = r
else:
db.add(CouponClaimRecord(
device_id=device_id, user_id=user_id,
coupon_id=coupon_id, claim_date=today,
status=status, app_env=app_env,
vendor=r.get("vendor"), coupon_name=r.get("name"),
status=status, vendor=r.get("vendor"), coupon_name=r.get("name"),
claimed_count=count, trace_id=trace_id, reason=r.get("reason"),
extra=r,
))
@@ -246,160 +232,3 @@ def sum_claimed_count(db: Session, user_id: int) -> int:
)
).scalar_one()
return int(total or 0)
# ===== 领券平台推导(coupon_id → 平台;成功平台集)=====
# 成功语义:success + already_claimed 算成功(pricebot 代码 emit already_claimed,协议 enum 漏了);
# failed / skipped 不算。与 sum_claimed_count 同口径。
_SUCCESS_STATUSES = frozenset({"success", "already_claimed"})
# 三档平台 id 及固定序(美团→淘宝→京东),与客户端 DEFAULT_PLATFORM_ORDER 对齐。
DEFAULT_PLATFORMS: tuple[str, ...] = ("meituan-waimai", "taobao-shanguang", "jd-waimai")
def coupon_id_to_platform(coupon_id: str | None) -> str | None:
"""coupon_id 前缀 → 平台 id;无法识别 / 空 → None。
与客户端 `CouponForegroundService.couponIdToPlatform` 同词表:
mt_美团外卖 / tb_·ele_·elm_淘宝闪购 / jd_京东外卖
"""
if not coupon_id:
return None
if coupon_id.startswith("mt_"):
return "meituan-waimai"
if coupon_id.startswith(("tb_", "ele_", "elm_")):
return "taobao-shanguang"
if coupon_id.startswith("jd_"):
return "jd-waimai"
return None
def succeeded_platforms(results: list[dict]) -> list[str]:
"""一批券结果 → 至少领到一张的平台集(按 DEFAULT_PLATFORMS 去重保序)。
只取 status{success, already_claimed} 的券;失败/跳过无法识别平台的券跳过
"""
ok: set[str] = set()
for r in results:
if r.get("status") in _SUCCESS_STATUSES:
platform = coupon_id_to_platform(r.get("coupon_id"))
if platform is not None:
ok.add(platform)
return [p for p in DEFAULT_PLATFORMS if p in ok]
# ===== 领券任务流水(coupon_session,admin「领券数据」看板数据源)=====
def upsert_coupon_session(
db: Session,
*,
trace_id: str,
device_id: str,
status: str,
started_at_ms: int,
user_id: int | None = None,
platforms: list[str] | None = None,
origin_package: str | None = None,
device_model: str | None = None,
rom: str | None = None,
app_env: str | None = None,
elapsed_ms: int | None = None,
platform_elapsed: dict | None = None,
claimed_count: int | None = None,
trace_url: str | None = None,
) -> None:
"""一条领券流水按 trace_id 幂等 upsert(发起 started 建行、收尾终态更新同一行)。
- 乱序/重复兜底:终态(completed/failed/abandoned)先到也建行;started 重复到不覆盖已有终态
(状态只前进,不降级)
- started_at 由客户端墙钟毫秒转;started_date 取其 Asia/Shanghai 自然日(admin 按天聚合/筛选)
- 终态帧补 finished_at=服务端 now;各字段非空才写(避免 started 帧的 None 抹掉收尾值,反之亦然)
并发 IntegrityError 回滚忽略(本就幂等)
"""
started_at = datetime.fromtimestamp(started_at_ms / 1000, tz=timezone.utc)
started_date = started_at.astimezone(_CN_TZ).date()
is_terminal = status in ("completed", "failed", "abandoned")
row = db.execute(
select(CouponSession).where(CouponSession.trace_id == trace_id)
).scalar_one_or_none()
if row is None:
db.add(CouponSession(
trace_id=trace_id,
device_id=device_id,
user_id=user_id,
status=status,
app_env=app_env,
platforms=platforms,
origin_package=origin_package,
device_model=device_model,
rom=rom,
started_at=started_at,
started_date=started_date,
finished_at=datetime.now(timezone.utc) if is_terminal else None,
elapsed_ms=elapsed_ms,
platform_elapsed=platform_elapsed,
claimed_count=claimed_count,
trace_url=trace_url,
))
else:
# 状态只前进:started 帧重复到(如 START_STICKY 重启)不把已有终态降级回 started。
if not (status == "started" and row.status in ("completed", "failed", "abandoned")):
row.status = status
if is_terminal:
row.finished_at = datetime.now(timezone.utc)
if user_id is not None:
row.user_id = user_id
if platforms is not None:
row.platforms = platforms
if origin_package is not None:
row.origin_package = origin_package
if device_model is not None:
row.device_model = device_model
if rom is not None:
row.rom = rom
if app_env is not None:
row.app_env = app_env
if elapsed_ms is not None:
row.elapsed_ms = elapsed_ms
if platform_elapsed is not None:
row.platform_elapsed = platform_elapsed
if claimed_count is not None:
row.claimed_count = claimed_count
if trace_url is not None:
row.trace_url = trace_url
try:
db.commit()
except IntegrityError:
# 并发下另一请求刚插了同 trace_id → 唯一约束撞,回滚忽略(本就幂等)。
db.rollback()
def merge_session_platform_success(
db: Session, trace_id: str, platforms: list[str]
) -> None:
"""把本帧「成功平台」并入 coupon_session.platform_success(按 trace_id,并集幂等,按 DEFAULT_PLATFORMS 保序)。
- 领券 /step 每逢带券结果的帧调一次(平台成败布尔,跨帧取并集天然幂等,不重复计)
- 读不到该 trace_id 的行 **静默跳过**(不建兜底行;设计 §5:started 帧几乎必先落库)
- 并集无变化(该平台已记过) 不写库,省一次 UPDATE
- fire-and-forget:调用方已吞异常;并发唯一冲突回滚忽略
"""
if not platforms:
return
row = db.execute(
select(CouponSession).where(CouponSession.trace_id == trace_id)
).scalar_one_or_none()
if row is None:
return
merged = set(row.platform_success or []) | set(platforms)
new_list = [p for p in DEFAULT_PLATFORMS if p in merged]
if new_list == (row.platform_success or []):
return # 幂等:无新平台,不写
row.platform_success = new_list
try:
db.commit()
except IntegrityError:
db.rollback()
-4
View File
@@ -17,8 +17,6 @@ def create_feedback(
content: str,
contact: str,
images: list[str] | None,
source: str = "profile",
scene: str | None = None,
app_version: str | None = None,
device_model: str | None = None,
rom_name: str | None = None,
@@ -28,8 +26,6 @@ def create_feedback(
user_id=user_id,
content=content,
contact=contact,
source=source,
scene=scene or None,
images=images or None,
app_version=app_version or None,
device_model=device_model or None,
-3
View File
@@ -304,9 +304,6 @@ def get_invitees(
"avatar_url": u.avatar_url or u.wechat_avatar_url or None,
"coins": rel.inviter_coin, # v3 起恒 0(邀请人收益改走邀请奖励金)
"invited_at": rel.created_at,
# 是否已完成过一次比价(= 已发过邀请奖励金)。客户端据此:好友列表分"去提醒/邀请成功"、
# 在途列表只取未比价(is_compared=False)、算在途好友数与在途收益(未比价数×2元)。
"is_compared": bool(rel.compare_reward_granted),
})
has_more = offset + len(rows) < int(total)
return items, int(total), has_more
+1 -16
View File
@@ -5,7 +5,7 @@ device_id 为空(老客户端 / 取不到 ANDROID_ID)一律按"未完成"处理,
"""
from __future__ import annotations
from sqlalchemy import delete, select
from sqlalchemy import select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
@@ -33,18 +33,3 @@ def mark_completed(db: Session, *, user_id: int, device_id: str) -> None:
except IntegrityError:
# 并发 / 重复提交撞唯一约束:已有行即视为成功。
db.rollback()
def delete_completion(db: Session, *, user_id: int, device_id: str) -> int:
"""删该 (账号, 设备) 的引导完成标记 → 下次登录 is_completed=False → 客户端重走。
[mark_completed] 互逆device_id 为空忽略( 0);无记录也幂等( 0)返回删除行数"""
if not device_id:
return 0
result = db.execute(
delete(OnboardingCompletion).where(
OnboardingCompletion.user_id == user_id,
OnboardingCompletion.device_id == device_id,
)
)
db.commit()
return result.rowcount
+43 -149
View File
@@ -29,18 +29,6 @@ from app.core.rewards import CN_TZ
from app.models.comparison import ComparisonRecord
from app.models.ops_marquee_seed import OpsMarqueeSeed
from app.models.user import User
from app.repositories import app_config
from app.repositories.user import is_default_nickname
# 首页轮播数据源模式(存 app_config.marquee_feed_mode):
# mixed=真实优先+种子补位+合成兜底(默认,原行为);real=只真实(不足则少/空);seed=只种子+合成兜底。
FEED_MODES = ("mixed", "real", "seed")
def get_feed_mode(db: Session) -> str:
"""读首页轮播数据源模式;非法/未配置回退 mixed(= 原行为)。"""
mode = app_config.get_value(db, "marquee_feed_mode")
return mode if mode in FEED_MODES else "mixed"
# feed 运行时随机源(每次请求结果不同 = 轮播想要的「鲜活感」)
_rng = random.Random()
@@ -141,12 +129,9 @@ def _synth_masked_name(rng: random.Random) -> str:
def _mask_real(nickname: str | None, user_id: int) -> str:
"""真实用户脱敏(对齐 PRD「用户标识打码规则」):设过昵称→昵称脱敏(中英文皆可);
没昵称用户+5+id 2 (用户*****08), user_id 稳定刷新不变脸
创建时自动分配的默认昵称(用户+9 位随机, user.is_default_nickname)不算用户主动设的昵称,
无昵称处理走 id 规则(产品决策 2026-07:默认昵称归入没昵称)"""
没昵称用户+5+id 2 (用户*****08), user_id 稳定刷新不变脸"""
nick = (nickname or "").strip()
if nick and not is_default_nickname(nick):
if nick:
return _mask_nickname(nick)
return _mask_anon(user_id)
@@ -217,79 +202,60 @@ def _recent_real_rows(db: Session) -> list[tuple[int, int, str | None]]:
return out
def _shuffle_declustered(rows: list, rng: random.Random | None = None) -> list:
"""洗牌 + 「去连簇」:先洗牌,再贪心重排让相邻两条尽量不是同一 user_id(元素 [0] 即 user_id)。
rng=None 用全局 _rng(feed 每次新随机);传入 rng(如固定种子 Random) 排列确定(admin 稳定分页)
减少同一用户连续出现;只有少数几个用户时 best-effort"""
rng = rng or _rng
pool = list(rows)
rng.shuffle(pool)
result: list = []
while pool:
prev_uid = result[-1][0] if result else None
# 优先挑与上一条不同 user 的;挑不到(只剩同 user)才取第一个
idx = next((i for i, r in enumerate(pool) if r[0] != prev_uid), 0)
result.append(pool.pop(idx))
return result
def get_feed(db: Session, limit: int = 8, mode: str | None = None) -> list[dict]:
def get_feed(db: Session, limit: int = 8) -> list[dict]:
"""返回最多 limit 条 {masked_user, saved_amount_cents, time(HH:MM:SS 北京)}。
mode:显式传入(admin 预览指定模式)则用它**不改持久化配置**;不传(客户端 /savings-feed)
持久化的 marquee_feed_mode;非法值一律回退到持久化模式
真实条:success 0 < saved 上限,**不按 user 去重**(打乱 + 去连簇:相邻尽量不同用户减少单人连刷)后取前 limit
真实条:success 0 < saved 上限, user 去重(同一用户只取最新一条,避免单人刷屏)
不足用启用的种子补齐**公平随机抽取** need (而非固定取前 N),让所有种子都有机会露出;
种子用户名留空则随机合成(避开撞名),金额取**长尾随机**(小额居多偶尔大额,更像真实分布)
真实 + 种子仍不满 limit 内置合成条**补满**,保证轮播既不空也不稀疏
展示时间统一刷新成相对现在的最近时刻( now 往前**随机抖动**递减),保证轮播永远像刚发生
节奏自然不机械(真实用户/金额不变,只换展示时间避免旧测试数据 / 低谷期记录显示成过时时间)
"""
# 预览可显式指定模式(所见=选中模式,不依赖 PATCH 落库时序);None/非法 → 读持久化配置
mode = mode if mode in FEED_MODES else get_feed_mode(db) # mixed / real / seed
# 真实条:取较多近期记录(带 ~30s 缓存)后按 user 去重;金额超上限的异常值已在查询剔除
rows = _recent_real_rows(db)
items: list[dict] = []
used_names: set[str] = set()
seen_users: set[int] = set()
for uid, sc, nick in rows:
if uid in seen_users:
continue
seen_users.add(uid)
name = _mask_real(nick, uid)
used_names.add(name) # 真实名按昵称/id 稳定;偶发撞名可接受
items.append({"masked_user": name, "saved_amount_cents": int(sc)})
if len(items) >= limit:
break
# 真实条(mixed / real):**不按 user 去重**——打乱 + 去连簇(相邻尽量不同用户、减少单人连刷)后取前
# limit;金额超上限的异常值已在查询剔除。同一用户可多条露出,但被打散、尽量不连续。
if mode != "seed":
for uid, sc, nick in _shuffle_declustered(_recent_real_rows(db))[:limit]:
name = _mask_real(nick, uid)
used_names.add(name) # 同一用户可多条,名字重复无害(used_names 仅供种子避重)
items.append({"masked_user": name, "saved_amount_cents": int(sc)})
# 种子补位 + 合成兜底(mixed / seed):mixed 下补真实不足的部分,seed 下全量用种子/合成。
# real 模式**跳过**——只出真实,不掺任何假数据(真实不足则少于 limit,为 0 时返回空)。
if mode != "real":
need = limit - len(items)
if need > 0:
seeds = db.execute(
select(OpsMarqueeSeed).where(OpsMarqueeSeed.enabled.is_(True))
).scalars().all()
# 公平随机抽取 need 个(池子够大则不放回抽样;否则全用并打散),让所有启用种子都有机会露出。
chosen = _rng.sample(seeds, need) if len(seeds) > need else list(seeds)
_rng.shuffle(chosen)
for s in chosen:
# 用户名:旧的「用户****xxx」统一模板名 / 留空 → 一律走新混合合成(避开同屏撞名、自愈历史种子);
# 仅运营手动设的非模板真名才原样用。
fixed = (s.masked_user or "").strip()
name = fixed if fixed and not fixed.startswith("用户****") else _unique_name(used_names)
used_names.add(name)
# 金额:在 [min,max] 取长尾随机值(小额居多、偶尔大额;固定金额则 min==max)。
lo = max(0, int(s.min_cents))
hi = max(lo, int(s.max_cents))
items.append({"masked_user": name, "saved_amount_cents": _skewed_amount(lo, hi)})
# 兜底:真实 + 种子仍凑不满 limit(种子被全停用 / 数量太少)→ 用内置合成补满,
# 保证轮播既不空也不稀疏(稀疏的几条循环同样像假)。
while len(items) < limit:
name = _unique_name(used_names)
need = limit - len(items)
if need > 0:
seeds = db.execute(
select(OpsMarqueeSeed).where(OpsMarqueeSeed.enabled.is_(True))
).scalars().all()
# 公平随机抽取 need 个(池子够大则不放回抽样;否则全用并打散),让所有启用种子都有机会露出。
chosen = _rng.sample(seeds, need) if len(seeds) > need else list(seeds)
_rng.shuffle(chosen)
for s in chosen:
# 用户名:旧的「用户****xxx」统一模板名 / 留空 → 一律走新混合合成(避开同屏撞名、自愈历史种子);
# 仅运营手动设的非模板真名才原样用。
fixed = (s.masked_user or "").strip()
name = fixed if fixed and not fixed.startswith("用户****") else _unique_name(used_names)
used_names.add(name)
items.append({
"masked_user": name,
"saved_amount_cents": _skewed_amount(_FALLBACK_MIN_CENTS, _FALLBACK_MAX_CENTS),
})
# 金额:在 [min,max] 取长尾随机值(小额居多、偶尔大额;固定金额则 min==max)。
lo = max(0, int(s.min_cents))
hi = max(lo, int(s.max_cents))
items.append({"masked_user": name, "saved_amount_cents": _skewed_amount(lo, hi)})
# 兜底:真实 + 种子仍凑不满 limit(种子被全停用 / 数量太少)→ 用内置合成补满,
# 保证轮播既不空也不稀疏(稀疏的几条循环同样像假)。
while len(items) < limit:
name = _unique_name(used_names)
used_names.add(name)
items.append({
"masked_user": name,
"saved_amount_cents": _skewed_amount(_FALLBACK_MIN_CENTS, _FALLBACK_MAX_CENTS),
})
# 统一赋「最近」时间:从 now 往前**随机抖动**递减,避免固定节奏被看出规律。
# 首条几十秒前;其余多数 1~5 分钟,偶尔扎堆(20~55s)或较长(5~9 分钟),降序、像真实流水。
@@ -310,78 +276,6 @@ def get_feed(db: Session, limit: int = 8, mode: str | None = None) -> list[dict]
return items
# ===== admin 侧:分页浏览「当前模式下可展示的记录」(审核用,不去重) =====
_REAL_BROWSE_CAP = 1000 # 真实记录一次最多纳入这么多去洗牌+分页(足够审核;防超大库全量洗牌)
_BROWSE_SEED = 20260707 # 固定洗牌种子:同一批数据下排列恒定 → 翻页稳定、能翻遍全部
def _seed_browse_row(seed: OpsMarqueeSeed) -> dict:
"""把一条种子按其「生成逻辑」**确定性**生成一行浏览项(名字/金额按 seed.id 派生固定种子 → 翻页稳定)。
名字:运营手填的非模板名原样用,否则本地合成;金额:区间内确定性长尾取值user_id=0(种子无真实用户)"""
r = random.Random(_BROWSE_SEED * 1_000_003 + int(seed.id))
fixed = (seed.masked_user or "").strip()
name = fixed if (fixed and not fixed.startswith("用户****")) else _synth_name(r)
lo = max(0, int(seed.min_cents))
hi = max(lo, int(seed.max_cents))
amt = lo if hi <= lo else lo + int(round((hi - lo) * (r.random() ** 2.2)))
return {"masked_user": name, "saved_amount_cents": amt, "created_at": "", "user_id": 0}
def list_real_records(
db: Session, mode: str | None = None, offset: int = 0, limit: int = 8
) -> tuple[list[dict], int]:
"""分页浏览「**当前模式**下可在 app 轮播展示的全部记录」,供 admin 逐页审核(**不去重**):
- 只真实:全部 success+>0 的真实记录;
- 只种子:每条启用种子按生成逻辑各出一行;
- 混播:真实 + 种子 全部合在一起
app 轮播同口径:先洗牌 + 去连簇(相邻尽量不同 user;种子各自独立不算同 user);**固定种子**
同批数据下排列恒定,翻页不跳能翻遍全部返回 (items, total);item.user_id=0 表示种子"""
mode = mode if mode in FEED_MODES else get_feed_mode(db)
# pool: [(cluster_key, item)];cluster_key 供去连簇——真实=user_id、种子=各自唯一负数(互不聚簇)
pool: list[tuple[int, dict]] = []
if mode != "seed":
rows = db.execute(
select(
ComparisonRecord.user_id,
ComparisonRecord.saved_amount_cents,
User.nickname,
ComparisonRecord.created_at,
)
.join(User, User.id == ComparisonRecord.user_id)
.where(
ComparisonRecord.status == "success",
ComparisonRecord.saved_amount_cents > 0,
ComparisonRecord.saved_amount_cents <= _REAL_MAX_CENTS,
)
.order_by(ComparisonRecord.created_at.desc())
.limit(_REAL_BROWSE_CAP)
).all()
for uid, sc, nick, ca in rows:
pool.append((
int(uid),
{
"masked_user": _mask_real(nick, int(uid)),
"saved_amount_cents": int(sc),
"created_at": str(ca)[:16] if ca is not None else "",
"user_id": int(uid),
},
))
if mode != "real":
seeds = (
db.execute(select(OpsMarqueeSeed).where(OpsMarqueeSeed.enabled.is_(True)))
.scalars()
.all()
)
for i, s in enumerate(seeds):
pool.append((-(i + 1), _seed_browse_row(s))) # 每个种子唯一 key → 互不聚簇
total = len(pool)
# 每次用同一固定种子新建 Random → 同批数据排列恒定(翻页稳定);同时相邻尽量不同 user。
ordered = _shuffle_declustered(pool, random.Random(_BROWSE_SEED))
off = max(0, offset)
items = [item for _key, item in ordered[off : off + limit]]
return items, total
# ===== 运营侧:种子 CRUD =====
def list_seeds(db: Session) -> list[OpsMarqueeSeed]:
return list(
+2 -5
View File
@@ -318,14 +318,11 @@ def update_config(
row.random_current = _monotonic(row, random_initial)
row.random_last_tick_at = now
elif apply_now:
# 立即更新:不等钟点,马上刷新一次
# random:走一档增长;real/manual:直接落到「配置目标值」(manual_value / max(真实,保底)),
# **显式保存即所见即所得,绕过「只增不减」护栏**——运营手动改值就是要按配置显示(含调小)。
# (护栏仍作用于自动 tick 的 _refresh:防门面在两次保存之间被真实刷新/自增长悄悄缩水。)
# 立即更新:不等钟点,马上刷新一次
if row.mode == "random" and row.random_current is not None:
row.random_current = _grow(row, row.random_current, 1)
else:
row.random_current = _current_target(db, row)
row.random_current = _monotonic(row, _current_target(db, row))
row.random_last_tick_at = now
elif row.random_current is None:
# 首次无值:按当前模式播种,使配置后立即有合理展示值
-16
View File
@@ -42,22 +42,6 @@ def _gen_nickname() -> str:
)
def is_default_nickname(nickname: str | None) -> bool:
"""是否为创建时自动分配的默认昵称(= "用户" + 9 位字母数字,见 [_gen_nickname])。
这类不是用户主动设置的昵称,展示脱敏时按无昵称处理( id 规则, ops_marquee._mask_real)
精确匹配生成格式(前缀 + 定长字母数字集),不误伤真人以用户开头的昵称(用户体验师含汉字
长度也不符)用户改过昵称即不再匹配"""
if not nickname:
return False
s = nickname.strip()
return (
len(s) == len(_NICKNAME_PREFIX) + _NICKNAME_LEN
and s.startswith(_NICKNAME_PREFIX)
and all(c in _NICKNAME_ALPHABET for c in s[len(_NICKNAME_PREFIX):])
)
def get_user_by_username(db: Session, username: str) -> User | None:
return db.execute(
select(User).where(User.username == username)
+1 -104
View File
@@ -11,7 +11,7 @@ import unicodedata
import uuid
from datetime import datetime, timedelta, timezone
from sqlalchemy import func, select, update
from sqlalchemy import select, update
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
@@ -67,10 +67,6 @@ class WithdrawTooFrequentError(Exception):
"""提现申请过于频繁,或已有未完成提现单。"""
class WithdrawTierUnavailableError(Exception):
"""该档位今日不可提:次数已满,或今天已选了其他额度(7-9 福利页档位规则)。"""
class WithdrawTransferError(Exception):
"""调用微信转账失败(已退回余额)。"""
@@ -300,9 +296,6 @@ def daily_auto_exchange(db: Session) -> dict:
- **逐用户独立事务**:单个用户异常 rollback 不影响其他人;exchange_coins_to_cash 内部按用户 commit
返回统计 dict(scanned/converted/skipped_done/skipped_dust/failed/total_cents)
"""
# ⚠️「今天」写死北京时(rewards.cn_today() = datetime.now(CN_TZ).date(), CN_TZ=+8),与服务器/用户
# 时区无关(用户 2026-07-01 硬约束:兑换一律北京 0 点日切)。**禁止**改成 date.today() / 裸
# datetime.now().date()——那会跟随进程本地时区,服务器非 CST 时会在错误的"天"兑/重复兑。
today = rewards.cn_today()
stats = {
"scanned": 0, "converted": 0, "skipped_done": 0,
@@ -609,89 +602,6 @@ def _settle_after_ambiguous(db: Session, order: WithdrawOrder, reason: str) -> N
db.commit()
def _beijing_today_start_utc() -> datetime:
"""北京时今日 0 点(转 UTC)。WithdrawOrder.created_at 是 func.now()(UTC)存储,
比较时统一转 UTC, admin 看板 today_start 同口径(admin/repositories/queries.py)"""
return (
datetime.now(rewards.CN_TZ)
.replace(hour=0, minute=0, second=0, microsecond=0)
.astimezone(timezone.utc)
)
def withdraw_tier_states(db: Session, user_id: int, source: str = "coin_cash") -> list[dict]:
"""福利页(coin_cash)提现档位的可提现状态。withdraw-info 下发与 create_withdraw 校验共用此口径。
规则(2026-07-09 拍板,7-9提现ui对齐):
- 新人档(0.1/0.3):账号历史一次性只要发起过(**任意状态**,含被拒/失败,"发起就算")
即视为已用,直接**从返回列表消失**;两档各自独立互不影响,不参与"每日选一个额度"互斥
- 常规档(0.5×3 / 10×1 / 20×1):按北京日计次,"发起就算占用"(当天创建的单不论最终状态
都计入,被拒/失败不退当天名额);三档每天只能选一个,选定后其余两档当天 other_tier_selected
- invite_cash 本轮无档位概念 返回空列表(邀请页客户端仍用本地写死档位,行为不变)
余额是否足够由客户端本地判断(余额随兑换实时变化,不在此快照)
"""
if source != "coin_cash":
return []
tiers = rewards.WITHDRAW_TIERS_COIN_CASH
amounts = [t.amount_cents for t in tiers]
newbie_amounts = [t.amount_cents for t in tiers if t.is_newbie]
# 新人档历史是否用过:任意时间、任意状态("发起就算")
used_newbie: set[int] = set(
db.execute(
select(WithdrawOrder.amount_cents)
.distinct()
.where(
WithdrawOrder.user_id == user_id,
WithdrawOrder.source == "coin_cash",
WithdrawOrder.amount_cents.in_(newbie_amounts),
)
).scalars()
) if newbie_amounts else set()
# 今日(北京日)每档已发起次数(任意状态)
today_counts: dict[int, int] = {
int(amount): int(cnt)
for amount, cnt in db.execute(
select(WithdrawOrder.amount_cents, func.count(WithdrawOrder.id))
.where(
WithdrawOrder.user_id == user_id,
WithdrawOrder.source == "coin_cash",
WithdrawOrder.amount_cents.in_(amounts),
WithdrawOrder.created_at >= _beijing_today_start_utc(),
)
.group_by(WithdrawOrder.amount_cents)
)
}
# "每日选一个额度":今天发起过的常规档(新人档不算)
selected_regular = next(
(t.amount_cents for t in tiers if not t.is_newbie and today_counts.get(t.amount_cents, 0) > 0),
None,
)
out: list[dict] = []
for t in tiers:
if t.is_newbie:
if t.amount_cents in used_newbie:
continue # 用过即消失,不再下发
out.append({
"amount_cents": t.amount_cents, "label": t.label, "badge": t.badge,
"is_newbie": True, "available": True, "disabled_reason": None,
"remaining_today": 1,
})
continue
used = today_counts.get(t.amount_cents, 0)
if selected_regular is not None and selected_regular != t.amount_cents:
available, reason, remaining = False, "other_tier_selected", 0
elif used >= t.daily_limit:
available, reason, remaining = False, "quota_exhausted", 0
else:
available, reason, remaining = True, None, t.daily_limit - used
out.append({
"amount_cents": t.amount_cents, "label": t.label, "badge": t.badge,
"is_newbie": False, "available": available, "disabled_reason": reason,
"remaining_today": remaining,
})
return out
def create_withdraw(
db: Session,
user_id: int,
@@ -747,19 +657,6 @@ def create_withdraw(
if active_order_id is not None:
raise WithdrawTooFrequentError
# 福利页档位闸(7-9):coin_cash 只能提预设档位,且该档今日可提(服务端权威口径,防绕过
# 客户端刷)。放在幂等返回/在途互斥之后:同号重试仍原样返回旧单,不被档位闸误杀。
# allow_sub_min(0.01 调试直发)保持原样放行,不受档位约束;invite_cash 本轮无档位概念不校验。
if source == "coin_cash" and not allow_sub_min:
tier_state = next(
(t for t in withdraw_tier_states(db, user_id, source) if t["amount_cents"] == amount_cents),
None,
)
if tier_state is None: # 非预设档位金额,或新人档已用过(已从列表消失)
raise InvalidWithdrawAmountError
if not tier_state["available"]:
raise WithdrawTierUnavailableError
# 账户须存在(原子扣款的 UPDATE 不会建账户)
get_or_create_account(db, user_id, commit=True)
-6
View File
@@ -63,12 +63,6 @@ class EcpmReportIn(BaseModel):
description="点位场景:comparison(比价等待) / coupon(领券) / welfare(福利页);"
"比价与领券共用同一 Draw 代码位,需客户端在各调用点显式标注,供收益报表区分比价/领券;激励视频为空",
)
trace_id: str | None = Field(
None,
max_length=64,
description="本次比价/领券 trace_id(信息流场景带上):把这条展示收益归属到对应比价/领券,"
"供领券数据/比价记录看板聚合本场广告收益;激励视频/福利为空",
)
app_env: str | None = Field(
None, max_length=16, description="我们的穿山甲应用环境:prod(傻瓜比价正式) / test(测试应用)"
)
-34
View File
@@ -1,34 +0,0 @@
"""自报计数上报 schema。字段名对齐客户端 payload(snake_case),累计值语义。"""
from __future__ import annotations
from pydantic import BaseModel, Field
class SelfStatEventIn(BaseModel):
event: str = Field(max_length=64)
attempted: int = 0
drop_capture: int = 0
delivered: int = 0
drop_undelivered: int = 0
class SelfStatBatchIn(BaseModel):
device_id: str = Field(max_length=64)
epoch_id: str = Field(max_length=64)
sent_at: int | None = None
app_ver: str | None = Field(default=None, max_length=32)
oem: str | None = Field(default=None, max_length=32)
os: str | None = Field(default=None, max_length=32)
batches_attempted: int = 0
batches_ok: int = 0
batches_fail: int = 0
retries: int = 0
queue_depth: int = 0
# 允许空列表:某次快照只上报设备级计数(batches_*/retries/queue_depth)、无 event 细分时也合法
# (与 AnalyticsBatchIn 的 min_length=1 有意不同——那是行为事件、必须至少一条)。
events: list[SelfStatEventIn] = Field(default_factory=list, max_length=200)
class SelfStatIngestOut(BaseModel):
ok: bool = True
snapshot_id: int
-25
View File
@@ -49,28 +49,3 @@ class CouponStatsOut(BaseModel):
"""
coupon_count: int
class CouponSessionIn(BaseModel):
"""客户端领券流水上报体(admin「领券数据」看板数据源,POST /api/v1/coupon/session)。
一次领券两段上报, trace_id upsert coupon_session:
- 发起(status=started):带勾选平台 + 机型/ROM/app_env + started_at_ms(发起墙钟毫秒)
- 收尾(completed/failed/abandoned): elapsed_ms(全程耗时)+ platform_elapsed(各平台耗时)+ claimed_count
不鉴权(同领券循环 MVP, device_id/trace_id),user_id 登录态带上做留痕(可空)
"""
trace_id: str
device_id: str
status: str # started / completed / failed / abandoned
started_at_ms: int # 发起墙钟毫秒(客户端 System.currentTimeMillis)
user_id: int | None = None
platforms: list[str] | None = None
origin_package: str | None = None
device_model: str | None = None
rom: str | None = None
app_env: str | None = None
elapsed_ms: int | None = None
platform_elapsed: dict[str, int] | None = None
claimed_count: int | None = None
trace_url: str | None = None
-4
View File
@@ -30,14 +30,10 @@ class FeedbackQrConfigOut(BaseModel):
class FeedbackRecordOut(BaseModel):
id: int
content: str
# 比价反馈的问题场景(找错商品/优惠不对…);普通反馈为 None
scene: str | None = None
images: list[str] = Field(default_factory=list)
status: str
reject_reason: str | None = None
reward_coins: int | None = None
# 运营给用户的回复留言(用户端可见,采纳/未采纳都可能有)
admin_reply: str | None = None
created_at: datetime
-1
View File
@@ -69,7 +69,6 @@ class InviteeItem(BaseModel):
avatar_url: str | None = None # 头像 URL;null = 前端画默认色块
coins: int # 这次邀请给我(邀请人)发的金币
invited_at: datetime # 邀请绑定时间(前端转"今天/3天前")
is_compared: bool = False # 该好友是否已完成过一次比价(好友列表分"去提醒/邀请成功";在途列表只取 False)
class InviteeListOut(BaseModel):
+1 -5
View File
@@ -174,13 +174,9 @@ class FeedResponse(BaseModel):
class TopSalesRequest(BaseModel):
"""销量最高 tab:从离线库 meituan_coupon 按销量降序取(不实时打美团)。"""
# 可选:老客户端(本次改动前发版)不带经纬度。缺省时后端降级返空(status=degraded),
# 不做 422 硬拒,也不误返"全城"结果。新客户端会传坐标 → 按城市过滤。
longitude: float | None = Field(None, description="经度(用于定位城市;缺省=老客户端,降级返空)")
latitude: float | None = Field(None, description="纬度(用于定位城市;缺省=老客户端,降级返空)")
page: int = Field(1, ge=1)
page_size: int = Field(20, ge=1, le=50)
platform: int | None = Field(None, description="可选: 1只外卖 / 2只到店; 不填=全部(城销量)")
platform: int | None = Field(None, description="可选: 1只外卖 / 2只到店; 不填=全部(城销量)")
# ───────────────── 换链 请求 / 响应 ─────────────────
-19
View File
@@ -75,21 +75,6 @@ class ExchangeResultOut(BaseModel):
# ===== 提现(现金 → 微信零钱) =====
class WithdrawTierOut(BaseModel):
"""提现档位(福利页 coin_cash;7-9 对齐原型)。served by rewards.WITHDRAW_TIERS_COIN_CASH。"""
amount_cents: int = Field(..., description="档位金额(分)")
label: str = Field(..., description="档位方块展示文案,如 0.1 / 10")
badge: str | None = Field(None, description="角标文案(如 新人福利);无则空")
is_newbie: bool = Field(False, description="新人档:历史一次性,用过后不再下发;免广告直提")
available: bool = Field(True, description="当前是否可提(次数/选一额度口径;余额由客户端自判)")
disabled_reason: str | None = Field(
None,
description="不可提原因:quota_exhausted(今日次数满) / other_tier_selected(今日已选其他额度)",
)
remaining_today: int = Field(0, description="今日剩余可提次数")
class WithdrawInfoOut(BaseModel):
min_cents: int = Field(..., description="单次最低提现(分)")
max_cents: int = Field(..., description="单次最高提现(分)")
@@ -99,10 +84,6 @@ class WithdrawInfoOut(BaseModel):
transfer_auth_enabled: bool = Field(
False, description="是否已开启免确认到账(开启后提现免跳微信确认,直接到账)"
)
tiers: list[WithdrawTierOut] = Field(
default_factory=list,
description="提现档位(source=coin_cash 下发;invite_cash 为空,客户端走旧逻辑)",
)
# ===== 免确认收款授权(用户授权免确认模式)=====

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