Files
Neo-ZQYY/apps/backend/app/schemas/xcx_performance.py
Neo 2a7a5d68aa feat: 2026-04-15~04-20 累积变更基线 — 多主线合流
主线 1: rns1-customer-coach-api + 04-miniapp-core-business 后端实施
  - 新增 GET /xcx/coaches/{id}/banner 轻量接口
  - performance/records 加 coach_id 参数 + view_board_coach 权限分流
  - coach/customer/performance/board/task 服务层重构
  - fdw_queries 结算单粒度聚合 + consumption_summary 视图统一
  - task_generator 回访宽限 72h + UPSERT 替代策略 + Step 5 保底清理
  - recall_detector settle_type=3 双重限制 + 门店级 resolved

主线 2: 小程序权限分流 + 新增 coach-service-records 管理者视角业绩明细页
  - perf-progress 共享模块去重 task-list/coach-detail 动画逻辑
  - isScattered 散客标记端到端
  - foodDetail/phoneFull/creator* 字段透传

主线 3: P19 指数回测框架 Phase 1+2
  - 3 个指数表 stat_date 日快照模式
  - 新增 DWS_INDEX_BACKFILL / DWS_TASK_SIMULATION 工具任务
  - task_engine 升级 HTTP 实时 + 推演回测双模式

主线 4: Core 维度层启用
  - 新增 CORE_DIM_SYNC 任务(DWD → core 4 维度表)
  - 修复 app 视图空查询问题

主线 5: member_project_tag 改为 LAST_30_VISITS 消费次数窗口

主线 6: 2 个迁移 SQL 已执行(stat_date + member_project_tag 新窗口)
  - schema 基线与 DDL 快照同步

主线 7: 开发机路径迁移 C:\NeoZQYY → C:\Project\NeoZQYY(约 95% 改动量)

附带: 新建运维脚本(churned_customer_report / simulate_historical_tasks /
      backfill_index_snapshots)+ tools/task-analysis/ 任务分析工具

合计 157 文件。未包含中间产物(tmp/ .playwright-mcp/ inspect-* excel/sheet 分析 txt)。
审计记录见下一个 commit。

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-20 06:32:07 +08:00

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"""
小程序绩效相关 Pydantic 模型。
覆盖绩效概览PERF-1、绩效明细PERF-2响应结构。
"""
from __future__ import annotations
from app.schemas.base import CamelModel
# ---------------------------------------------------------------------------
# 绩效通用模型
# ---------------------------------------------------------------------------
class DateGroupRecord(CamelModel):
"""按日期分组的单条服务记录。"""
customer_name: str
member_id: int | None = None # 前端用于计算头像颜色
avatar_char: str | None = None # PERF-1 返回PERF-2 不返回
heart_score: float | None = None # RS 分数,前端用于 heart-icon 组件
is_scattered: bool = False # 散客member_id ≤ 0标识前端据此置灰
time_range: str
hours: str
course_type: str
location: str
income: str
class DateGroup(CamelModel):
"""按日期分组的服务记录组。"""
date: str
total_hours: str
total_income: str
records: list[DateGroupRecord]
# ---------------------------------------------------------------------------
# PERF-1 绩效概览
# ---------------------------------------------------------------------------
class TierInfo(CamelModel):
"""档位信息(含基础/激励费率)。"""
basic_rate: float
incentive_rate: float
class IncomeItem(CamelModel):
"""收入明细项。"""
icon: str
label: str
desc: str
value: str
class CustomerSummary(CamelModel):
"""客户摘要(新客/常客基类)。"""
name: str
member_id: int | None = None # 前端用于计算头像颜色
avatar_char: str
heart_score: float | None = None # RS 分数
class NewCustomer(CustomerSummary):
"""新客户。"""
last_service: str
count: int
class RegularCustomer(CustomerSummary):
"""常客。"""
hours: float
income: str
count: int
class PerformanceOverviewResponse(CamelModel):
"""PERF-1 响应。"""
coach_name: str
coach_role: str
store_name: str
monthly_income: str
last_month_income: str
current_tier: TierInfo
next_tier: TierInfo
upgrade_hours_needed: float
upgrade_bonus: float
income_items: list[IncomeItem]
monthly_total: str
this_month_records: list[DateGroup]
new_customers: list[NewCustomer]
regular_customers: list[RegularCustomer]
# ---------------------------------------------------------------------------
# PERF-2 绩效明细
# ---------------------------------------------------------------------------
class RecordsSummary(CamelModel):
"""月度汇总。"""
total_count: int
total_hours: float
total_hours_raw: float
total_income: float
class PerformanceRecordsResponse(CamelModel):
"""PERF-2 响应。"""
summary: RecordsSummary
date_groups: list[DateGroup]
has_more: bool