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>
This commit is contained in:
Neo
2026-04-20 06:32:07 +08:00
parent 79d3c2e97e
commit 2a7a5d68aa
157 changed files with 14304 additions and 3717 deletions

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@@ -15,8 +15,8 @@ from hypothesis import given, settings, assume
from hypothesis.strategies import sampled_from
# DDL 基线文件在 ETL schema 重构后已删除,跳过整个模块
_CORE_SQL = Path(r"C:\NeoZQYY\db\etl_feiqiu\schemas\core.sql")
_DWD_SQL = Path(r"C:\NeoZQYY\db\etl_feiqiu\schemas\dwd.sql")
_CORE_SQL = Path(r"C:\Project\NeoZQYY\db\etl_feiqiu\schemas\core.sql")
_DWD_SQL = Path(r"C:\Project\NeoZQYY\db\etl_feiqiu\schemas\dwd.sql")
if not _CORE_SQL.exists() or not _DWD_SQL.exists():
pytest.skip(
"DDL 基线文件 core.sql / dwd.sql 不存在ETL schema 重构后已删除)",
@@ -63,8 +63,8 @@ def _parse_tables(sql_text: str) -> dict[str, int]:
# 加载 SQL 文件并建立映射
# ---------------------------------------------------------------------------
_CORE_SQL = Path(r"C:\NeoZQYY\db\etl_feiqiu\schemas\core.sql")
_DWD_SQL = Path(r"C:\NeoZQYY\db\etl_feiqiu\schemas\dwd.sql")
_CORE_SQL = Path(r"C:\Project\NeoZQYY\db\etl_feiqiu\schemas\core.sql")
_DWD_SQL = Path(r"C:\Project\NeoZQYY\db\etl_feiqiu\schemas\dwd.sql")
_core_tables = _parse_tables(_CORE_SQL.read_text(encoding="utf-8"))
_dwd_tables = _parse_tables(_DWD_SQL.read_text(encoding="utf-8"))

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@@ -20,7 +20,7 @@ WORKSPACE_MEMBERS = [
"packages/shared",
]
MONOREPO_ROOT = r"C:\NeoZQYY"
MONOREPO_ROOT = r"C:\Project\NeoZQYY"
@settings(max_examples=100)

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@@ -14,7 +14,7 @@ from hypothesis import given, settings
from hypothesis.strategies import sampled_from
# Monorepo 根目录
MONOREPO_ROOT = r"C:\NeoZQYY"
MONOREPO_ROOT = r"C:\Project\NeoZQYY"
# 一级目录列表(需求 1.5 定义)
# 仅包含实际存在的一级目录

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@@ -22,7 +22,7 @@ from hypothesis import given, settings, assume
from hypothesis.strategies import sampled_from, integers
# ── 路径常量 ──────────────────────────────────────────────────────
SCHEMAS_DIR = os.path.join(r"C:\NeoZQYY", "db", "etl_feiqiu", "schemas")
SCHEMAS_DIR = os.path.join(r"C:\Project\NeoZQYY", "db", "etl_feiqiu", "schemas")
APP_SQL = os.path.join(SCHEMAS_DIR, "app.sql")
# DDL 基线文件在 ETL schema 重构后已删除,跳过整个模块

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@@ -15,8 +15,8 @@ from hypothesis import given, settings
from hypothesis.strategies import sampled_from
# ── 路径常量 ──────────────────────────────────────────────
SCHEMAS_DIR = os.path.join(r"C:\NeoZQYY", "db", "etl_feiqiu", "schemas")
ZQYY_APP_DIR = os.path.join(r"C:\NeoZQYY", "db", "zqyy_app", "schemas")
SCHEMAS_DIR = os.path.join(r"C:\Project\NeoZQYY", "db", "etl_feiqiu", "schemas")
ZQYY_APP_DIR = os.path.join(r"C:\Project\NeoZQYY", "db", "zqyy_app", "schemas")
APP_SQL = os.path.join(SCHEMAS_DIR, "app.sql")
DWS_SQL = os.path.join(SCHEMAS_DIR, "dws.sql")

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@@ -19,7 +19,7 @@ from hypothesis import given, settings
from hypothesis.strategies import sampled_from
# ── 路径常量 ──────────────────────────────────────────────
MONOREPO_ROOT = r"C:\NeoZQYY"
MONOREPO_ROOT = r"C:\Project\NeoZQYY"
STEERING_DIR = os.path.join(MONOREPO_ROOT, ".kiro", "steering")
# 旧仓库路径模式(需要检测并确认已清除的字符串)

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@@ -18,7 +18,7 @@ from hypothesis import given, settings
from hypothesis.strategies import sampled_from
# ── 路径常量 ──────────────────────────────────────────────
MONOREPO_ROOT = r"C:\NeoZQYY"
MONOREPO_ROOT = r"C:\Project\NeoZQYY"
DB_CONFIGS = {
"etl_feiqiu": {