3689 lines
128 KiB
Markdown
3689 lines
128 KiB
Markdown
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<!-- Cursor Session 0395ef87-bae8-4c96-b790-fbdf3b0cbea8 (2026-02-05 23:18Z) -->
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# DWS 客户召回与转化指数 (2026-02-05 23:18Z)
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_**User**_
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DWS中，客户召回指数修改为WBI 和 NCI指数，以下是需求。
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**特别注意，以下需求文档中的数据字段要使用本项目中的内容。我建议你先查看并排查用到的字段数据，列一个表格，并在开始修改之前，就数据和问题进行探讨**
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------------------------------
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# WBI（老客挽回指数）与 NCI（新客转化指数）需求文档（PRD + 技术实现口径）
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- 版本：v1.0
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- 日期：2026-02-06
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- 适用门店：台球厅（单店/多店均适用）
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- 触达渠道：微信（助教/工作人员）
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- 备注：本文档**不包含亲密度（助教归因）指数**，仅定义“客户层”召回/转化指数。
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---
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## 1. 背景与目标
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### 1.1 背景
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现有“召回指数”将“老客挽回”与“新客转化/充值后未回访”混合在同一分数中，造成同分不同义、运营动作难以标准化。现需拆分为两个指数：
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- **WBI（Win-back Index）老客挽回指数**：衡量“是否应该召回 + 紧急程度 + 值得投入程度”。
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- **NCI（New-customer Conversion Index）新客转化指数**：衡量“是否应该推动二访/三访 + 紧急程度 + 值得投入程度”。
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### 1.2 业务目标（必须满足）
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1. **基于到店/充值行为**计算召回的必要性与紧急程度（用于微信触达排序）。
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2. **尊重客户个人到店周期**（高频客更敏感、低频客更宽容），同时对**新客户**与**刚充值但未回访客户**给予一定倾向。
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3. **超过 60 天无活动**（到店与充值均无）判定为召回失败（STOP），不再消耗精力召回。
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4. 指数需具备可解释性，便于一线员工理解与执行。
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### 1.3 非目标（本期不做）
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- 不做机器学习预测模型（可在 v2 迭代）。
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- 不引入“助教亲密度/归因”参与 WBI/NCI（可在 v2 做多目标合成）。
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- 不在本期固化具体话术模板（仅给分档建议与触达频控建议）。
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---
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## 2. 指标总览与输出定义
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### 2.1 输出指标
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- WBI：0–10（越高表示越需要挽回、越紧急、越值得优先触达）
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- NCI：0–10（越高表示越需要推动新客转化/二访、越紧急、越值得优先触达）
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- `status`：客户状态机标签（见 4.1）
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- `segment`：人群分段（NEW / OLD / STOP）
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### 2.2 指标使用方式
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- **运营只在各自队列内排序与触达：**
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- NEW 队列：按 NCI 降序
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- OLD 队列：按 WBI 降序
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- STOP 队列：默认不触达（可选高余额例外，见 4.1.4）
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---
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## 3. 数据依赖与口径（技术必须保障数据质量）
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> 下述为逻辑字段需求；实际物理表/字段名由技术同学按你们数仓/业务库映射实现。
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### 3.1 事件定义
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- **到店事件 Visit**：以“服务/结算完成时间”为准（建议用 `pay_time` 或结算完成时间）。
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- **充值事件 Recharge**：以“充值支付成功时间”为准（`pay_time`）。
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- **活动事件 Activity**：`Activity = max(last_visit_time, last_recharge_time)`（二者取最近）。
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### 3.2 必需输入字段（按 member_id 聚合）
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**基础维度**
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- `member_id`
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- `site_id`（如多店）
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- `member_create_time`（建档/注册/成为会员时间）
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**到店相关（至少 180 天回溯以便计算习惯）**
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- `visit_times[]`：最近 N 次到店时间序列（建议取最近 50 次，或 180 天内全部）
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- `last_visit_time`
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- `first_visit_time`（首次到店时间，可等同最早 settle 记录）
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- `visits_14d`：近 14 天到店次数
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- `visits_60d`：近 60 天到店次数
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- `visits_total`：累计到店次数（全量历史；若无法全量，则至少 365 天内）
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**消费金额（本期新增变量）**
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- `spend_30d`：近 30 天消费总额（实付）
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- `spend_180d`：近 180 天消费总额（实付）
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- 可选：`avg_ticket_180d = spend_180d / max(visits_180d,1)`
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**充值与余额（本期新增变量）**
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- `last_recharge_time`（若无则 NULL）
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- `recharge_60d_amt`：近 60 天充值金额（可选，用于分析）
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- `sv_balance`：储值卡余额（当前余额，>=0）
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**触达频控（可选但强烈建议）**
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- `last_wechat_touch_time`：上次微信主动触达时间（用于防骚扰频控）
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### 3.3 派生字段（计算用）
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令 `now` 为任务运行时刻（本地时区）。
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- 距今天数（天，可用 float）
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- $$t_V = \min(60, \frac{now - last\_visit\_time}{86400})$$（若无到店则记为 60）
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- $$t_R = \min(60, \frac{now - last\_recharge\_time}{86400})$$（若无充值则记为 60）
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- $$t_A = \min(60, \min(t_V, t_R))$$（近 60 天活动强度）
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- 充值是否“未回访”
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- `recharge_unconsumed = 1` 当 `last_recharge_time > last_visit_time`（或 last_visit_time 为空）
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- 否则为 0
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- 到店间隔序列（用于个人习惯）
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- 将 `visit_times` 按时间升序排序，计算相邻间隔：
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$$\Delta_i = \min(60, \frac{visit\_times[i] - visit\_times[i-1]}{86400})$$
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- `intervals = {螖_i}`（长度 = visits_count-1）
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- 分位数（个人习惯阈值）
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- `q50` = median(intervals)
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- `q75` = 75th percentile(intervals)
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- `q90` = 90th percentile(intervals)
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---
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## 4. 状态机与分流规则（必须先分流，再打分）
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### 4.1 状态机定义
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#### 4.1.1 STOP（召回失败/冻结）
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- 规则：若 `t_A >= 60`（60 天内既无到店也无充值），则：
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- `status = STOP`
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- WBI/NCI 均不计算或置 NULL（或置 0，但需与运营约定）
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- 默认不进入触达队列
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#### 4.1.2 NEW（新客/转化期客户）
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满足任一条件：
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- `visits_total <= new_visit_threshold`（默认 2）
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- 或 `days_since_first_visit <= new_days_threshold`（默认 30 天）
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- 或 `recharge_unconsumed = 1 且 days_since_last_recharge <= recharge_recent_days`（默认 14 天）
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则：
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- `segment = NEW`
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- 计算 NCI（WBI 可不算或置 NULL）
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#### 4.1.3 OLD（老客/习惯稳定客户）
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不属于 STOP、且不属于 NEW：
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- `segment = OLD`
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- 计算 WBI（NCI 可不算或置 NULL）
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#### 4.1.4 可选规则：高余额例外（如你坚持“绝不超过 60 天”可关闭）
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- 若 `t_A >= 60` 但 `sv_balance >= high_balance_threshold`（例如余额 P95 或固定阈值），可标记：
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- `status = STOP_HIGH_BALANCE`
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- 进入“低频挽回队列”（每月最多触达 1 次）
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> 默认关闭，作为参数开关。
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---
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## 5. 通用函数与归一化流程（建议复用现有框架）
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### 5.1 半衰期衰减函数
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$$decay(d; h) = e^{-\ln(2)\cdot d/h}$$
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- `d`：距今天数
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- `h`：半衰期（天）
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### 5.2 金额/余额对数缩放（避免大额客户碾压）
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$$log1p(x) = \ln(1+x)$$
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- 消费得分：
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$$S_{spend} = \ln\left(1+\frac{spend\_{180d}}{M_0}\right)$$
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- 余额得分：
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$$S_{bal} = \ln\left(1+\frac{sv\_balance}{B_0}\right)$$
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其中 `M0/B0` 为可配置基数（见 8）。
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### 5.3 Raw → Display（0–10）映射（每个 index_type 独立一套）
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对同一 index_type 的全体 Raw 分数：
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1. 计算分位点 `P_low` / `P_high`（默认 P5/P95）
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2. Winsorize 截断到 `[P_low, P_high]`
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3. 可选压缩：`none / log1p / asinh`
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4. MinMax 映射到 `[0, 10]`
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5. 可选 EWMA 平滑分位点（跨任务运行平滑）
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> 注意：WBI 与 NCI 的映射必须各自独立计算分位点（不可混在一起）。
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---
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## 6. NCI（新客转化指数）算法定义
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### 6.1 设计直觉
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- 新客的关键是二访/三访窗口：太近不打扰、超过窗口逐渐紧急；但越接近 60 天越难救，投入应下降。
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- 刚充值但未回访：必须提升优先级（避免余额沉淀与体验流失）。
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### 6.2 分项得分（0–1 或自然尺度）
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#### 6.2.1 转化紧迫度（Need）
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设：
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- `no_touch_days_new`（默认 3）：小于该天数只做欢迎/建联，不算“召回紧迫”
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- `t2_target_days`（默认 7）：二访目标周期
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- `t2_max_days = 2*t2_target_days`（默认 14）：超过该天数认为“非常紧急”
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$$Need_{new} = clip\left(\frac{t_V - no\_touch\_days\_new}{t2\_max\_days - no\_touch\_days\_new}, 0, 1\right)$$
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#### 6.2.2 可救度（Salvage）
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- 30–60 天窗口线性衰减，越接近 60 越低：
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$$Salvage_{new} = clip\left(\frac{salvage\_start - t_A}{salvage\_start - salvage\_end}, 0, 1\right)$$
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默认：`salvage_start=30`, `salvage_end=60`
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（当 `t_A<=30` 时为 1；当 `t_A>=60` 时为 0）
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#### 6.2.3 充值未回访压力（Recharge Pressure）
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仅当“充值发生在最后一次到店之后”才触发：
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$$Recharge_{new} =
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\begin{cases}
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decay(t_R; h_{recharge}) & \text{if } recharge\_unconsumed=1\\
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0 & \text{otherwise}
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\end{cases}
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$$
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#### 6.2.4 价值（Value）
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$$Value_{new} = w_{spend}\cdot S_{spend} + w_{bal}\cdot S_{bal}$$
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### 6.3 NCI Raw Score
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$$NCI_{raw} = w_{need}\cdot (Need_{new}\cdot Salvage_{new}) + w_{re}\cdot Recharge_{new} + w_{value}\cdot Value_{new}$$
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### 6.4 输出分项（建议落表，便于解释与调参）
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- `need_new`
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- `salvage_new`
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- `recharge_new`
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- `value_new`
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- `raw_score`
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- `display_score`
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---
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## 7. WBI（老客挽回指数）算法定义
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### 7.1 设计直觉
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- 老客的核心是“是否超出个人习惯周期”（个体化 Recency）。
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- 同时需要识别“近期降频/断档”（相对频次下滑）。
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- 在同等紧急下，优先挽回“价值更高/余额更高”的客户（资源最优分配）。
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- 刚充值但未回访：给予额外优先级（但权重低于新客）。
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### 7.2 分项得分
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#### 7.2.1 个人周期超期分（Overdue Stage）
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当 `len(intervals) >= overdue_min_samples_wbi`（默认 3）时使用分段阈值：
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$$Overdue_{stage} =
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\begin{cases}
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0 & t_V \le q50 \\
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0.33 & q50 < t_V \le q75 \\
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0.66 & q75 < t_V \le q90 \\
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1.0 & t_V > q90
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\end{cases}
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$$
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若样本不足，则使用冷启动回退（与现有 RI 思路一致）：
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- 经验百分位：
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$$p = \frac{\#\{\Delta_i \le t_V\}}{\#\{\Delta\}}$$
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- 冷启动：若 `len(螖)=0` 则 `p=0.5`
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- 超期回退分：
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$$Overdue_{fallback} = p^{\alpha}$$
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最终：
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$$Overdue_{old} =
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\begin{cases}
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Overdue_{stage} & len(\Delta)\ge overdue\_min\_samples\_wbi\\
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Overdue_{fallback} & \text{otherwise}
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\end{cases}
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$$
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#### 7.2.2 近期降频分（Drop）
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用 60 天基线推算 14 天期望，判断是否低于应有水平：
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- $$expected14 = visits_{60d}\cdot \frac{14}{60}$$
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- $$Drop = clip\left(\frac{expected14 - visits_{14d}}{expected14 + 1}, 0, 1\right)$$
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#### 7.2.3 充值未回访压力（Recharge Pressure）
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与 NCI 相同定义，但权重更低：
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$$Recharge_{old} =
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\begin{cases}
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decay(t_R; h_{recharge}) & \text{if } recharge\_unconsumed=1\\
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0 & \text{otherwise}
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\end{cases}
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$$
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#### 7.2.4 价值（Value）
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$$Value_{old} = w_{spend}\cdot S_{spend} + w_{bal}\cdot S_{bal}$$
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### 7.3 WBI Raw Score
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$$WBI_{raw} = w_{over}\cdot Overdue_{old} + w_{drop}\cdot Drop + w_{re}\cdot Recharge_{old} + w_{value}\cdot Value_{old}$$
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### 7.4 输出分项（建议落表）
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- `overdue_old`（stage 或 fallback 结果）
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- `drop_old`
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- `recharge_old`
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- `value_old`
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- `raw_score`
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- `display_score`
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- `q50/q75/q90/interval_count`（解释用）
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---
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## 8. 参数配置（cfg_index_parameters 新增 index_type：WBI / NCI）
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> 建议复用现有“按 index_type 取参”的框架；WBI 与 NCI 的分位点、压缩、平滑均独立配置。
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### 8.1 通用参数（WBI/NCI 均有）
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- `lookback_days_recency`：60（强制）
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- `percentile_lower`：5
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- `percentile_upper`：95
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- `compression_mode`：0（建议先 none，必要时改 log1p/asinh）
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- `use_smoothing`：1（建议开启）
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- `ewma_alpha`：0.2
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### 8.2 NCI 专用参数（建议默认）
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- `new_visit_threshold`：2
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- `new_days_threshold`：30
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- `no_touch_days_new`：3
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- `t2_target_days`：7
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- `salvage_start`：30
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- `salvage_end`：60
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- `h_recharge`：7
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- 金额/余额基数：
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- `amount_base_M0`：300
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- `balance_base_B0`：500
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- 价值权重：
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- `value_w_spend`：1.0
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- `value_w_bal`：0.8
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- Raw 权重：
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- `w_need`：1.6
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- `w_re`：0.8
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- `w_value`：1.0
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### 8.3 WBI 专用参数（建议默认）
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- `overdue_min_samples_wbi`：3
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- `overdue_alpha`：2.0（仅 fallback 使用）
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- `h_recharge`：7
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- 金额/余额基数：
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- `amount_base_M0`：300
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- `balance_base_B0`：500
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- 价值权重：
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- `value_w_spend`：1.0
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- `value_w_bal`：1.0
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- Raw 权重：
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- `w_over`：2.0
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- `w_drop`：1.0
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- `w_re`：0.4
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- `w_value`：1.2
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### 8.4 可选：高余额例外参数
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- `enable_stop_high_balance_exception`：0/1（默认 0）
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- `high_balance_threshold`：按余额分布 P95 或固定值（如 1000）
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---
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|
||
## 9. 输出表设计（DWS）
|
||
|
||
### 9.1 推荐方案（两张表 + 一个视图）
|
||
#### 9.1.1 `billiards_dws.dws_member_winback_index`（WBI）
|
||
主键：`(site_id, member_id, dt)` 或 `(site_id, member_id)`（按你们现有覆盖写入策略）
|
||
|
||
字段建议：
|
||
- 维度：`site_id, member_id`
|
||
- 状态：`status, segment`
|
||
- 时间特征：`last_visit_time, last_recharge_time, tV, tR, tA`
|
||
- 频次：`visits_14d, visits_60d, visits_total`
|
||
- 习惯：`q50, q75, q90, interval_count`
|
||
- 金额/余额：`spend_30d, spend_180d, sv_balance`
|
||
- 分项：`overdue_old, drop_old, recharge_old, value_old`
|
||
- 汇总：`raw_score, display_score`
|
||
- 可选：`last_wechat_touch_time`
|
||
|
||
#### 9.1.2 `billiards_dws.dws_member_newconv_index`（NCI）
|
||
字段建议同上，但分项替换为：
|
||
- `need_new, salvage_new, recharge_new, value_new`
|
||
- `raw_score, display_score`
|
||
|
||
#### 9.1.3 视图（运营读取）
|
||
`billiards_dws.v_member_recall_priority`：
|
||
- UNION ALL 两表
|
||
- 输出字段统一为：`member_id, segment, display_score, status, last_visit_time, last_recharge_time, sv_balance, spend_180d, ...`
|
||
|
||
### 9.2 覆盖写入策略
|
||
- 每次任务运行：
|
||
- 计算候选集：`tA <= 60` 的客户（加可选例外）
|
||
- 对候选集执行 delete-before-insert 覆盖写入
|
||
- STOP 客户不写入或写入 STOP 状态（需与运营确认；建议写入 STOP，便于看板统计）
|
||
|
||
---
|
||
|
||
## 10. 计算任务（ETL/Batch）与调度
|
||
|
||
### 10.1 调度频率
|
||
- 建议：每 2 小时运行一次（与现有 RI 类似）
|
||
- 每日补跑：可选（用于修复延迟到数仓的数据）
|
||
|
||
### 10.2 计算步骤（伪流程）
|
||
1. 拉取 member 维表（create_time）
|
||
2. 拉取到店记录（>=180天）与充值记录（>=60天）与余额快照（当前）
|
||
3. 按 member 聚合：visit_times、last/first、计数、金额、余额
|
||
4. 计算派生字段：tV/tR/tA、intervals、q50/q75/q90、drop 等
|
||
5. 按状态机分流：STOP / NEW / OLD
|
||
6. NEW 计算 NCI_raw；OLD 计算 WBI_raw
|
||
7. 各自做 Raw→Display 映射（分位点独立）
|
||
8. 落表
|
||
|
||
---
|
||
|
||
## 11. 验收标准（数据质量 + 指数合理性）
|
||
|
||
### 11.1 数据质量验收（必须）
|
||
- `sv_balance >= 0`
|
||
- `spend_30d, spend_180d >= 0`
|
||
- `last_visit_time <= now`，`last_recharge_time <= now`
|
||
- `visits_14d <= visits_60d <= visits_total`
|
||
- `interval_count = max(visits_total_in_window - 1, 0)`（窗口内）
|
||
- `display_score ∈ [0,10]`，无 NaN/Inf
|
||
|
||
### 11.2 指数方向性验收（必须）
|
||
**NEW 队列（NCI）**
|
||
- 在控制 spend/balance 后，`tV` 增大（3→14 天）时，NCI 的均值应上升；接近 60 天时（tA→60）NCI 均值应下降（可救度机制生效）。
|
||
|
||
**OLD 队列（WBI）**
|
||
- `tV` 从 `q50→q75→q90→>q90` 逐档增加时，WBI 均值单调上升。
|
||
- 在相同 `tV` 下，`Drop` 更高的客户 WBI 更高。
|
||
|
||
### 11.3 运营有效性验收（强烈建议）
|
||
- 回测（离线）：以“未来 14 天是否回店”为标签，验证高分组的“自然回店率更低”（说明分数能识别风险）。
|
||
- 小流量对照（线上）：对 Top N 客户随机分组触达/不触达，比较 7/14 天回店增量与毛利增量。
|
||
|
||
---
|
||
|
||
## 12. 微信触达分档建议（运营用，可不进代码）
|
||
|
||
> 仅供 SOP 制定参考；具体阈值可按门店容量与人手调整。
|
||
|
||
### 12.1 NCI 分档
|
||
- 0–3：不主动触达（仅欢迎/建联）
|
||
- 3–7：轻触达（邀约二访、拼局/活动提醒）
|
||
- 7–10：强触达（明确时间邀约 + 轻激励）
|
||
|
||
### 12.2 WBI 分档
|
||
- 0–4：观察
|
||
- 4–7：提醒式触达（按其习惯周期与常来时间段）
|
||
- 7–10：挽回式触达（台位/活动/权益唤回）
|
||
|
||
### 12.3 频控建议
|
||
- 同一客户：3 天内最多 1 次主动触达（除非客户回复）
|
||
- 连续 2 次无回复：降档或停止触达
|
||
|
||
---
|
||
|
||
## 13. 附录：实现提示（避免常见坑）
|
||
1. **WBI/NCI 的分位点归一化必须分开**，否则会互相污染。
|
||
2. 金额/余额一定要 `log1p` 缩放，否则大额客户会把排序“压扁”。
|
||
3. `visit_times` 取值需覆盖足够历史（建议 180 天），否则 q50/q75/q90 不稳定。
|
||
4. 若某店/某天样本极少导致 P5≈P95，按通用逻辑直接返回 5.0，但需监控报警（防止全店“分数失真”）。
|
||
|
||
|
||
---
|
||
|
||
_**Agent (model gpt-5.2-codex-xhigh-fast, mode Agent)**_
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning field mapping exploration**
|
||
|
||
I'm preparing to thoroughly map and analyze relevant fields across tasks, indexes, and schema files before making any code changes, ensuring full compliance with the required data discussion step.
|
||
**Finalizing exploration approach with Subagent and TODO**
|
||
|
||
I'm deciding to create a detailed TODO list including scanning recall index code and schema, mapping PRD to actual fields, and preparing modifications. I'll start by writing this TODO, then use Subagent exploration to locate relevant files and field usages before reading and mapping fields for discussion.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="task" data-tool-name="todo_write">
|
||
<details><summary>Tool use: **todo_write** • Todo List</summary>
|
||
|
||
- [-] Scan current recall/index tasks and schema fields
|
||
- [ ] Map PRD fields to existing data + gaps
|
||
- [ ] Discuss assumptions, then implement WBI/NCI
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Launching detailed code exploration**
|
||
|
||
I'm configuring the subagent to search for files and fields related to recall index tasks, index parameters config, schema, docs, and tasks, focusing on "recall index," "index parameters," and DWS tables to identify key relevant information.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="task_v2">
|
||
<details>
|
||
<summary>Tool use: **task_v2**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"description": "Find recall index fields",
|
||
"prompt": "Explore the repo to locate existing recall/index computations and related schema/config. Specifically: find files for recall index task(s), any index parameter config tables, and DWS schema for recall/indices. Return: (1) file paths; (2) list of input fields used for recall index; (3) output table fields; (4) parameter names for index types. Focus on ETL tasks, SQL schema, and docs. Use medium thoroughness. ",
|
||
"subagentType": "explore",
|
||
"model": "composer-1",
|
||
"name": "explore"
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"status": "success"
|
||
}
|
||
```
|
||
Result:
|
||
|
||
```json
|
||
{
|
||
"agentId": "0e2b1618-361d-4caf-b24e-c7e70a5c46ce"
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning field discovery and data mapping**
|
||
|
||
I'm preparing to read key task and schema files to verify available dataset fields like spend and balance, map PRD fields to existing data, and identify where new fields like spend_30d and sv_balance might be sourced or need addition. I'll start with the recall index task.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\recall_index_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing base task structure**
|
||
|
||
I'm inspecting the base task structure to understand normalization and parameters since the task uses minimal fields without spend or balance.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\base_index_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Investigating recall index in schema_dws**
|
||
|
||
I'm searching schema_dws for the recall index table name to understand its structure and related member consumption tables before proceeding.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "dws_member_recall_index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "dws_member_recall_index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 14,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 14
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Locating recall index table definition**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\schema_dws.sql</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing schema for new tables**
|
||
|
||
I plan to inspect seed_index_parameters.sql next to understand the existing index_type setup before adding new tables for WBI and NCI or possibly a view.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\seed_index_parameters.sql</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Locating spend and balance fields**
|
||
|
||
I'm searching for "balance" and "sv_balance" in the repo, focusing on member consumption tasks to identify relevant tables and understand the existing dataset structure.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "sv_balance|balance",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "sv_balance|balance",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 140,
|
||
"totalMatches": 140,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_tables_dictionary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\ods_tasks.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\verification\\dwd_verifier.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_member_visit_detail.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_finance_recharge_summary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_finance_discount_detail.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_finance_daily_summary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\finance_discount_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\finance_daily_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\member_visit_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\finance_recharge_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\member_consumption_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\base_dws_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dwd_doc.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_ODS_doc.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-2.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-1.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205.txt",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Inspecting existing data fields in tasks**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\member_consumption_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Investigating data source for 180-day spend**
|
||
|
||
I'm checking other tables like dws_member_visit_detail and dws_member_visit_task for 180-day spend or visit data since the member consumption table lacks spend_180d.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\member_visit_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Investigating 180-day spend availability**
|
||
|
||
I'm checking the schema and documentation for the consumption summary to find if a 180-day spend metric exists, considering it might require computing from raw data if absent. Next, I'll search relevant tables like dws_finance and verify with dws_tables_dictionary.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "dws_member_consumption_summary",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "dws_member_consumption_summary",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 10,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 10
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\schema_dws.sql</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning spend_180d calculation**
|
||
|
||
I'm focusing on computing spend_180d from DWD tables by verifying relevant fields like pay_time, consume_money, and pay_amount in settlement and recharge tables. Next, I'll check documentation files for precise field definitions to choose the correct amount for actual payment.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dwd_settlement_head.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Clarifying spend field choice**
|
||
|
||
Noticed that the spend_30d metric likely corresponds to pay_amount (actual pay), while existing tasks use consume_money (total); I'll verify the recharge order fields to confirm which fits best for WBI/NCI and document this choice in the mapping.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\Ex\BD_manual_dwd_recharge_order_ex.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Identifying main documentation source**
|
||
|
||
I'm checking whether the main docs for dwd_recharge_order exist beyond the likely related BD_manual_dwd_recharge_order_ex, planning to search for any doc that mentions dwd_recharge_order directly.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "dwd_recharge_order",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\docs\\bd_manual\\DWD",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "dwd_recharge_order",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\docs\\bd_manual\\DWD",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 3,
|
||
"totalMatches": 3,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\main\\BD_manual_dwd_recharge_order.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\Ex\\BD_manual_dwd_recharge_order_ex.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\main\\BD_manual_billiards_dwd.md",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Starting documentation review**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dwd_recharge_order.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Checking dim_member document for create_time**
|
||
|
||
I'm verifying if dim_member's create_time corresponds to member_create_time or register_date to use it correctly for recharge_60d_amt calculations.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dim_member.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Assessing visit counts and time fields**
|
||
|
||
I'm confirming that total visits and recent visit counts come from different tables, with visits_total ideally from a 365-day or full history, while visits_14d/60d come from settlement data. The last_wechat_touch_time field likely doesn't exist in DWD and may be optional or missing. Next, I'll consider how to efficiently get full or 180-day visit counts given the 2-hour WBI/NCI schedule.
|
||
**Clarifying spend, recharge, and balance definitions**
|
||
|
||
I'm resolving that pay-related fields should filter settle_type=1 for actual visits, while recharge uses settle_type=5, and will compute recharge_unconsumed accordingly. For stored value balance, I need to decide between cash-only or total balance from member card data. Next, I'll verify visit_times computation and existing recall interval metrics, then check documentation and existing tasks to finalize field mappings and plan updates.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\index_algorithm_cn.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Searching for field references**
|
||
|
||
I'm searching the codebase for "wechat" or "touch" to determine if the field `last_wechat_touch_time` or related data exists anywhere.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "wechat|touch",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "wechat|touch",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 5,
|
||
"totalMatches": 5,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dwd_doc.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dwd_load_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\Ex\\BD_manual_dim_site_ex.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\build_dwd_from_ods.py",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Mapping required fields to source tables**
|
||
|
||
I'm identifying which existing tables and fields correspond to the PRD data points, noting some are computed rather than stored, and planning to compile a comprehensive mapping table from these insights. Next, I'll review member card account docs for balance details to complete this mapping.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dim_member_card_account.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Mapping relevant data fields**
|
||
|
||
I'm compiling a mapping of required fields like member_create_time from dim_member and visit metrics from dwd_settlement_head using settle_type=1. No wechat touch data is found, so we'll mark last_wechat_touch_time as missing but optional. Recharge amounts over 60 days can be computed from dwd_recharge_order with settle_type=5. Next, I'll prepare this mapping for discussion before making any task changes.
|
||
**Evaluating visit count sources**
|
||
|
||
I'm weighing total visit count options: computing from the large dwd_settlement_head without date filters is feasible but costly, while dws_member_consumption_summary offers daily totals with minor latency. I’ll map these and check normalization logic and index verifiers for incorporating new fields, preparing for potential updates.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\verification\index_verifier.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Scoping mapping fields**
|
||
|
||
I'm outlining required base dimensions, visit counts over various windows, spend, recharge, balances, and computed intervals from multiple data sources to form the mapping. Next, I'll check the intimacy index task for existing usage of amount and log1p transformations to decide on reuse.
|
||
**Verifying field names in docs**
|
||
|
||
I'll check the member consumption summary documentation to confirm accurate physical column and table names for the mapping. This ensures consistency with existing schemas before creating the mapping table.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\dws\BD_manual_dws_member_consumption_summary.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Deciding between payment and consumption data**
|
||
|
||
The requirement specifies using actual payment amounts (`pay_amount`), not total consumption (`consume_money`), so I'll prioritize `pay_amount` for 30/180-day spend metrics. I'll also note discrepancies with settle_type filtering and missing optional fields like last touch time, planning to compute recharge metrics from raw orders.
|
||
**Updating task status and planning schema review**
|
||
|
||
I'll review the recall/index tasks and schema for dws_finance_recharge_summary fields as part of compiling the required mappings and update the TODO list to mark step 1 complete and step 2 in progress.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="task" data-tool-name="todo_write">
|
||
<details><summary>Tool use: **todo_write** • Todo List</summary>
|
||
|
||
- [x] Scan current recall/index tasks and schema fields
|
||
- [-] Map PRD fields to existing data + gaps
|
||
- [ ] Discuss assumptions, then implement WBI/NCI
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Compiling field mappings for visits and spend**
|
||
|
||
I'm identifying key visit fields from `dwd_settlement_head` and `dws_member_consumption_summary` to compute visit counts and times; I’ll verify related tables for detailed visit and spend data and check task schedules for data freshness. I'll list explicit mappings for spend-related fields and note optional missing fields like last wechat touch time with plans to leave them null or integrate if available.
|
||
**Compiling detailed mapping table and discussing data assumptions**
|
||
|
||
I'm preparing a comprehensive field mapping table covering member base info, visits, spend, recharge, and balances from DWD and DWS sources, highlighting gaps like missing last_wechat_touch_time and differences between first_visit_time vs member_create_time. I'll document key assumptions on data windows, use of pay_amount vs consume_money, visit aggregation by date, and choices on cash vs total card balance, plus derived fields and task scheduling nuances, then present mappings and issues for informed next steps without applying modifications yet.
|
||
**Updating task status**
|
||
|
||
Marked the field mapping task as completed and set the next modification task to in progress.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="task" data-tool-name="todo_write">
|
||
<details><summary>Tool use: **todo_write** • Todo List</summary>
|
||
|
||
- [x] Scan current recall/index tasks and schema fields
|
||
- [x] Map PRD fields to existing data + gaps
|
||
- [-] Discuss assumptions, then implement WBI/NCI
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Preparing field mapping overview**
|
||
|
||
I'm compiling a Markdown table mapping source fields from DWD/DWS tables to the project's required fields, noting key distinctions like using consume_money vs. pay_amount and highlighting the matching or differing semantics before starting actual code changes.
|
||
**Compiling detailed field mapping with discussion**
|
||
|
||
I'm preparing a comprehensive Markdown table mapping each PRD field to existing project data sources, noting key choices like using pay_amount over consume_money, per-day vs per-order visit counts, and cash-only balance for sv_balance. I'll also include a discussion of data gaps and assumptions to clarify defaults before any code changes.</details></think>
|
||
|
||
---
|
||
|
||
我先对现有实现和字段做了排查（当前召回指数任务、DWD/DWS 字段文档、消费汇总表等），先给你一份“PRD 字段 → 本项目字段”的映射表，并把需要对齐的问题列出来；我会在你指出不一致/补充信息后再开始改代码。
|
||
|
||
## 字段映射表（PRD → 本项目字段）
|
||
| PRD 字段 | 本项目字段/来源 | 说明/差异 |
|
||
|---|---|---|
|
||
| `member_id` | `billiards_dwd.dwd_settlement_head.member_id` / `billiards_dwd.dwd_recharge_order.member_id` / `billiards_dwd.dim_member.member_id` | 作为主键聚合 |
|
||
| `site_id` | `billiards_dwd.dwd_settlement_head.site_id` / `billiards_dwd.dwd_recharge_order.site_id` | 多店场景主键 |
|
||
| `member_create_time` | `billiards_dwd.dim_member.create_time`（`scd2_is_current=1`） | 对应“建档/注册时间” |
|
||
| `visit_times[]` | `billiards_dwd.dwd_settlement_head.pay_time`（`settle_type=1`） | 需按时间升序取近 180 天；当前召回指数按 `DATE(pay_time)` 做“按天去重” |
|
||
| `last_visit_time` | `MAX(dwd_settlement_head.pay_time)`（`settle_type=1`） | 访问事件口径 |
|
||
| `first_visit_time` | `MIN(dwd_settlement_head.pay_time)`（`settle_type=1`） | PRD 要求“首次到店=最早结算”；当前召回指数用 `dim_member.create_time` |
|
||
| `visits_14d` | `COUNT(visit_date)`（`pay_time` 最近14天） | 可按天或按单；需定口径 |
|
||
| `visits_60d` | `COUNT(visit_date)`（`pay_time` 最近60天） | 同上 |
|
||
| `visits_total` | 优先：`COUNT(*)` from `dwd_settlement_head`（全量或≥365天） | 备选：`dws_member_consumption_summary.total_visit_count`（日更） |
|
||
| `spend_30d` | `SUM(dwd_settlement_head.pay_amount)`（最近30天，`settle_type=1`） | PRD要求“实付”；现有消费汇总用 `consume_money` |
|
||
| `spend_180d` | `SUM(dwd_settlement_head.pay_amount)`（最近180天，`settle_type=1`） | DWS 无现成字段 |
|
||
| `avg_ticket_180d` | `spend_180d / max(visits_180d,1)` | 需额外算 `visits_180d` |
|
||
| `last_recharge_time` | `MAX(dwd_recharge_order.pay_time)`（`settle_type=5`） | 充值事件口径 |
|
||
| `recharge_60d_amt` | `SUM(dwd_recharge_order.pay_amount)`（最近60天，`settle_type=5`） | PRD 仅建议可选 |
|
||
| `sv_balance` | `dim_member_card_account.balance` 聚合 | 现成字段：`dws_member_consumption_summary.cash_card_balance` / `total_card_balance` |
|
||
| `last_wechat_touch_time` | 未发现字段 | 当前 DWD/DWS 未提供 |
|
||
|
||
## 需要对齐/确认的问题（我会按默认方案执行，若不一致请指出）
|
||
- **“实付”口径**：我建议 `spend_*` 用 `dwd_settlement_head.pay_amount`（实付金额）；现有消费汇总是 `consume_money`。如果你希望含储值/赠送抵扣的“总消费额”，我可以改用 `consume_money`。
|
||
- **访问粒度**：当前召回指数按 `DATE(pay_time)` 去重（同日多单记一次）。PRD未限定，我倾向沿用“按天”来稳定间隔分位数；若要“按单”计次请说。
|
||
- **`first_visit_time`**：PRD要求取最早结算时间；现有代码用 `dim_member.create_time`。我会改为 `MIN(pay_time)`，同时保留 `member_create_time`。
|
||
- **`visits_total`**：为了“全量/≥365天”准确性，建议直接从 `dwd_settlement_head` 统计；若担心性能，可用 `dws_member_consumption_summary.total_visit_count`（日更，可能滞后）。
|
||
- **`sv_balance`**：PRD写“储值卡余额”，我倾向用 **现金储值卡**（`card_type_id=2793249295533893`）对应 `cash_card_balance`；如果需要包含赠送卡，请改用 `total_card_balance`。
|
||
- **`last_wechat_touch_time`**：现有数据中没有该字段，我会先置空并在表结构中保留，后续可接入新的来源。
|
||
|
||
如果以上默认口径OK，我就开始做改造（新增 WBI/NCI 两张 DWS 表 + 视图、参数、任务实现与注册、文档更新），并在完成后给你一版变更说明。
|
||
|
||
---
|
||
|
||
_**User**_
|
||
|
||
settle_type=1统一替换为：settle_type=1，或（settle_type=3 且 必须是激励课购买）
|
||
你分析的不错sv_balance就是用现金储值卡（card_type_id=2793249295533893）。
|
||
last_wechat_touch_time很重要么？会影响指数么？
|
||
visits_total有必要年度全量么？我觉得最近极限4-6个月的数据绰绰有余。
|
||
|
||
---
|
||
|
||
_**Agent (model gpt-5.2-codex-xhigh-fast, mode Agent)**_
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Confirming settle_type rules and data scope**
|
||
|
||
The plan is to treat settle_type=1 or settle_type=3 with incentive class purchase as valid, using a 180-day lookback for visits_total and visit_times per PRD consistency. last_wechat_touch_time is optional and not used in scoring, so it’ll be included but nullable without impacting the index. Next, I’ll locate the incentive class indicator in schema or logs by searching for "激励" or "incentive" keywords.
|
||
**Searching data and docs for incentive class indicators**
|
||
|
||
I’m searching DWD/ODS schemas and docs for keywords like "激励," "附加课," "incentive," and "course" to find how to detect incentive class purchases under settle_type=3. This includes checking order detail tables and service logs, targeting files or fields related to courses, lessons, and mall orders.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "激励|附加课|课程|课时|incentive|course",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "激励|附加课|课程|课时|incentive|course",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 35,
|
||
"totalMatches": 35,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_tables_dictionary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\index_algorithm_cn.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\intimacy_index_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\seed_index_parameters.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_finance_daily_summary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_assistant_salary_calc.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_assistant_finance_analysis.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_assistant_monthly_summary.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_assistant_daily_detail.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_cfg_skill_type.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_salary_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_daily_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\seed_dws_config.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\finance_income_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_finance_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\base_dws_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_ODS_doc.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\补充-2.md",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "settle_type\\s*=\\s*3|商城订单",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "settle_type\\s*=\\s*3|商城订单",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 2,
|
||
"totalMatches": 2,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\main\\BD_manual_dwd_store_goods_sale.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\DWD\\main\\BD_manual_dwd_settlement_head.md",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Investigating glob path issue**
|
||
|
||
The glob tool errors likely stem from backslashes in the Windows path, so I'll retry using forward slashes for the absolute directory. I'll also locate and examine key data-related files for required fields.</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Diagnosing path format issue with Glob tool**
|
||
|
||
The Glob tool likely fails because it needs an absolute Windows path with properly escaped backslashes; using forward slashes or unescaped backslashes may cause path-not-found errors despite the directory existing.
|
||
**Noticing ripgrep error likely from empty path**
|
||
|
||
The ripgrep error suggests the Glob tool might be running with a missing or empty target_directory; this points to needing to ensure the directory path is correctly passed as an absolute Windows path with escaped backslashes.</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reevaluating file search strategy**
|
||
|
||
The Glob tool may be unreliable or misconfigured, so I'm considering using ripgrep with a content pattern plus glob filtering to approximate file searches by name, despite some drawbacks. I'll explore ripgrep results for relevant files mentioning key terms to proceed without relying on Glob.
|
||
**Targeting relevant documentation files**
|
||
|
||
I'll read the identified markdown files and the main tables dictionary to look for references to "激励课" and related terms to gather needed info.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dwd_store_goods_sale.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\bd_manual\DWD\main\BD_manual_dwd_assistant_service_log.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\补充-2.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Identifying incentive class purchases**
|
||
|
||
Assistant service log uses order_assistant_type=2 or skill_id for incentive class purchase filtering, which links to settlement records. To include visits with settle_type=3 (mall orders) for incentives, extraction must join settlement head with assistant service log filtering these types for WBI/NCI recall algorithms.
|
||
**Planning new WBI/NCI tasks and data sources**
|
||
|
||
The plan involves creating separate tasks and tables for WBI and NCI indices, replacing the old recall index while keeping it deprecated for compatibility. Visits extraction must join settlement head with assistant service log filtering incentive purchases. Feature computations include visits totals over 180 days, spend aggregations, recharge events, balances, and member segmentation with STOP/NEW/OLD status and optional high balance exception logic. A new base task class is proposed to share feature extraction logic and reduce duplication.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "order_assistant_type|skill_id",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "order_assistant_type|skill_id",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks",
|
||
"outputMode": "content",
|
||
"totalFiles": 4,
|
||
"totalMatches": 16,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\intimacy_index_task.py",
|
||
"matchCount": 5
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_daily_task.py",
|
||
"matchCount": 4
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_finance_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\base_dws_task.py",
|
||
"matchCount": 6
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\base_dws_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing skill type config for bonus detection**
|
||
|
||
I found that bonus skill types are determined via `cfg_skill_type` in the DWS config and loaded in BaseDwsTask. Next, I'll examine the `seed_dws_config.sql` file to understand the skill type fields for extracting bonus skill IDs to filter in SQL queries.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "cfg_skill_type|skill_types",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "cfg_skill_type|skill_types",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "content",
|
||
"totalFiles": 13,
|
||
"totalMatches": 75,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_tables_dictionary.md",
|
||
"matchCount": 2
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 7
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_dws_assistant_finance_analysis.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\bd_manual\\dws\\BD_manual_cfg_skill_type.md",
|
||
"matchCount": 4
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_daily_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\seed_dws_config.sql",
|
||
"matchCount": 5
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\assistant_finance_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\base_dws_task.py",
|
||
"matchCount": 6
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 44
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_index_table_consistency_report.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\test_dws_tasks.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\seed_dws_config_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\verify_dws_config.py",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning bonus class filtering**
|
||
|
||
I'll leverage config mapping to identify bonus skill types and link settlement orders (settle_type 3) with assistant service logs for filtering visits, using a subquery to ensure only relevant mall orders with bonus courses are included.
|
||
**Reviewing SQL join with config for bonus filtering**
|
||
|
||
I drafted SQL joining settlement with assistant logs and cfg_skill_type in DWS to filter bonus courses and confirmed the index tasks can access DWS config for this join, simplifying skill type mapping while ensuring correct bonus filtering. Next, I'll verify cfg_skill_type data to confirm course_type_code values.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\seed_dws_config.sql</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Clarifying settle_type inclusion**
|
||
|
||
Confirmed skill_id for bonus and plan to join with cfg_skill_type for course_type_code='BONUS'. Settled to treat settle_type=1 or settle_type=3 with incentive class equivalently for visits and spend metrics, including visit events and pay_time in calculations. This approach aligns with user direction to unify settle_type=1 usage.
|
||
**Defining visit and spend aggregation logic**
|
||
|
||
Decided to compute visits and spend counts over 180 days treating settle_type=1 or settle_type=3 with incentive equivalently, deduplicating visits by date per member. For first_visit_time, I'll run a separate full-history query filtered by settle_type condition to ensure accurate days_since_first_visit, despite potential performance cost. Next, I'll inspect existing code to implement joins with skill_id and incentive class efficiently.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\intimacy_index_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning incentive filtering with dynamic skill config**
|
||
|
||
The new settle_type=3 logic will filter visits by joining assistant_service_log with active cfg_skill_type entries marked as "BONUS," ensuring site_id matches to avoid cross-site data issues. I'll adjust extraction queries and plan a reusable function for this filtering, then proceed to register new task implementations.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\__init__.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing task registry and init updates**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\task_registry.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Identifying task registry locations**
|
||
|
||
I'm focusing on the task registry and scheduler, especially in etl_billiards/gui/models/task_registry.py, to add new tasks and update any related scheduling or GUI task listings.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\models\task_registry.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing GUI and scheduler for task integration**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\scheduler.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Clarifying task inclusion and field usage**
|
||
|
||
The scheduler likely doesn’t need changes unless new tasks are added to the pipeline config, which might involve updating `seed_dws_config.sql` or default config files. The `last_wechat_touch_time` field is optional and ignored if missing, while `visits_total` will be computed over 180 days despite the PRD naming it simply `visits_total`. Next, I’ll proceed with implementing the tasks and related schema changes.
|
||
**Planning detailed feature computations and schema updates**
|
||
|
||
Decided to keep `visits_total` named per PRD but document it as 180-day cumulative, computing intervals capped at 60 days and handling missing data per spec. Implementation will involve a base class to extract member activity features, supporting both WBI and NCI tasks, with new tables added alongside existing recall tables (marked deprecated). Required updates span schema SQL, tasks, docs, registry, and index verifier to align with new indices and candidate set rules.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\create_index_tables.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning schema and docs update**
|
||
|
||
I’m preparing to update the table creation script and the DWS tables documentation to include new tables and seed parameters. Next, I’ll review the relevant docs section to ensure alignment.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\dws_tables_dictionary.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning updates for new tables and docs**
|
||
|
||
Planning to add new WBI/NCI tables and views, update skill_type comments, and revise `index_algorithm_cn.md` for WBI/NCI inclusion. Also checking if manual docs under `etl_billiards/docs/bd_manual/dws/` need updates or if recall index docs are missing.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "recall_index|dws_member_recall_index|召回指数",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "recall_index|dws_member_recall_index|召回指数",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 19,
|
||
"totalMatches": 19,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\recall_index_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\index_algorithm_cn.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\seed_index_parameters.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\gui\\utils\\app_settings.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\gui\\models\\task_registry.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\补充-2.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-2.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\verification\\index_verifier.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_index_table_consistency_report.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\list_index_tables.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\export_index_tables.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\index_tables.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\create_index_tables.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\test_index_tasks.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\__init__.py",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing task defaults for recall update**
|
||
|
||
I'm checking app settings and task panel files to find where default tasks are set, aiming to update or augment the recall index references consistently across the GUI and tasks.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\utils\app_settings.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Checking default task setup**
|
||
|
||
I'm reviewing `task_panel.py` to see how default tasks are set and if it needs updating.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\widgets\task_panel.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning to include WBI/NCI checkboxes**
|
||
|
||
I’m updating the plan to add WBI/NCI checkboxes and will check `gui/models/task_model.py` to understand how index codes might be used or stored there.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\models\task_model.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Identifying files needing index task updates**
|
||
|
||
I pinpointed several scripts and docs referencing the old recall index that require updating, including tests and config to ensure all index tasks align with the new setup. Next, I'll verify task registration in the config.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "RECALL|INTIMACY|index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\config",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "RECALL|INTIMACY|index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\config",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 0,
|
||
"totalMatches": 0,
|
||
"topFiles": []
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Checking tasks list in config**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\config\defaults.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Assessing recall index task updates**
|
||
|
||
The recall index task likely needs updating to reflect the new settle_type logic to keep consistency, even if it will be deprecated later; modifying its SQL to align with new settle_type conditions seems necessary.
|
||
**Designing WBI/NCI data extraction and computation**
|
||
|
||
I'm outlining detailed extraction queries, parameter defaults, dataclass structures, and the scoring formulas for WBI and NCI, focusing on consistent settle_type handling and visit windows with a 180-day lookback. Next, I'll formalize extraction methods and computation logic using these designs.
|
||
**Finalizing output schema and query design**
|
||
|
||
I'm aligning output table columns with the PRD, settling on precise timestamp fields and detailed aggregated visit queries including settle_type and incentive filters. Next, I'll implement extraction SQL, dataclasses, and task definitions for the new WBI/NCI indices.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\list_index_tables.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning index verifier updates**
|
||
|
||
I'm updating the index verifier to cover new tables for WBI and NCI, adjusting coverage logic to include members with visits or recharges in the last 60 days, while considering how to handle STOP statuses for monitoring without affecting computations.
|
||
**Deciding candidate set and verifier coverage**
|
||
|
||
I'm aligning with the PRD to compute only for members with activity (visits or recharge) within 60 days, excluding STOP by default but optionally supporting high-balance exceptions later. I'll update the index verifier to check coverage against a new union view representing both WBI and NCI tables, basing entity_sql on last 60-day visits or recharges for realistic coverage checks.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\export_index_tables.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning WBI/NCI table updates**
|
||
|
||
I'm preparing to include WBI/NCI tables and will check if `scripts/test_index_tasks.py` references recall to ensure comprehensive coverage.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning staged updates**
|
||
|
||
I'm outlining a stepwise implementation starting with creating new task files and modifying recall, then updating schema and seed data, followed by task orchestration, scripts, docs, verifier, and tests; I'll begin with tasks and schema updates.
|
||
**Designing detailed base task for member recall**
|
||
|
||
I'm drafting a comprehensive `MemberIndexBaseTask` with a dataclass for member activity, extraction methods for visits, recharge, create/first visit times, and balances, plus logic for segment classification, scoring normalization, and table insertion; this base will support shared functionality for related recall index tasks.
|
||
**Defining settle condition and planning member data extraction**
|
||
|
||
I'm specifying the settle_type SQL snippet with incentive check for visit validity, outlining member ID union from visits and recharge for data completeness, and preparing to implement a robust base with chunked queries and comprehensive member activity assembly starting with a new `member_index_base.py` file.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\member_index_base.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding missing imports**
|
||
|
||
I'll add the missing `import math` and import `Any` from typing to fix the undefined references in the percentile calculation code.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\member_index_base.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Designing winback data structure**
|
||
|
||
Considering a dataclass that wraps `MemberActivityData` alongside winback scoring fields to keep data organized, while keeping insert operations manageable by flattening later via access through the embedded activity data.
|
||
**Defining comprehensive winback dataclass and scoring**
|
||
|
||
Decided to keep `MemberWinbackData` with embedded `MemberActivityData` plus WBI fields to avoid duplication while enabling straightforward insert by accessing activity fields. Detailed scoring steps include fallback handling for quantiles, decay computations, score normalization with smoothing, and rounding.
|
||
|
||
**Planning schema and view updates**
|
||
|
||
Designed consistent table columns for WBI/NCI indexes with timestamps, scores, and member activity fields, plus unified view combining both indexes with an `index_type` to support downstream operations.
|
||
|
||
**Cleaning base types**
|
||
|
||
Noticed and resolved unused `Iterable` import in member_index_base to keep typing imports concise and lint-clean.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\member_index_base.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Creating new file for WBI**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\winback_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Confirming type imports and task setup**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\newconv_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating task imports and marking deprecation**
|
||
|
||
I'm preparing to update the tasks' `__init__.py` to import new tasks and keep the existing RecallIndexTask, possibly marking it as deprecated for clarity.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\__init__.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning settle_type condition update**
|
||
|
||
I'm preparing to update the recall index task's member visits extraction SQL to incorporate the new settle_type condition, including the exists subquery for settle_type=3 with incentive class purchase, aligning it with recent changes while considering deprecation and reuse of SQL snippets.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\recall_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning schema update with new tables and view**
|
||
|
||
I'll insert new index tables and view after the existing recall index section in schema_dws.sql, preserving recall for compatibility and updating cfg_index_parameters comments to include new index types and parameters.
|
||
**Designing schema additions for new index tables and view**
|
||
|
||
I'm specifying detailed DDL for two new index tables with fields and indexes, plus a union-all view combining recall and new indexes, all to be inserted after the recall index section using an ApplyPatch around relevant context lines.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\schema_dws.sql</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding new parameter inserts with conflict handling**
|
||
|
||
I'm updating seed_index_parameters.sql to append WBI and NCI parameter inserts with ON CONFLICT handling after the recall section, ensuring numeric param_values and including new parameters related to lookback, smoothing, thresholds, and weights.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\seed_index_parameters.sql</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating verification block to include WBI and NCI counts**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\seed_index_parameters.sql</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating DDL statements and seed parameters**
|
||
|
||
I'm adding new tables and a view to the DDL statements list in the index creation script and updating seed parameters to include the new winback and newconv configurations.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\create_index_tables.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Deciding to update seed parameters for consistency**
|
||
|
||
Decided to add the full set of WBI/NCI parameters to the SEED_PARAMS in create_index_tables.py for consistency with seed_index_parameters.sql, though it’s mainly a dev script and not critical.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\create_index_tables.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning task registration updates**
|
||
|
||
I'm preparing to update task registration in orchestration and possibly imports or comments in tasks/dws, starting by checking the tasks/dws/__init__.py module for existing exports.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\__init__.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Including missing index tasks**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\__init__.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating task registry with new tasks**
|
||
|
||
I'll import and register the new tasks while retaining the existing recall task for compatibility, marking it deprecated or disabled by default to avoid breaking pipelines and reduce its prominence in the UI.
|
||
**Registering new tasks alongside deprecated recall**
|
||
|
||
I'll add registrations for the new tasks and keep recall registered but mark it deprecated and disable it by default in the UI, updating labels to indicate it's outdated.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\task_registry.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating task registry with new tasks**
|
||
|
||
I'm adding new task definitions for WBI and NCI, adjusting DWS_RECALL_INDEX to indicate deprecation, and updating the NON_ODS_TASKS list accordingly in the task registry.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\models\task_registry.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding new task codes to categories mapping**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\models\task_model.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning checkbox integration**
|
||
|
||
I'm preparing to update task_panel.py with new WBI/NCI checkboxes and will search for existing checks like index_recall_check to find where logic should be adjusted.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "index_recall|DWS_RECALL_INDEX|index_intimacy",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "index_recall|DWS_RECALL_INDEX|index_intimacy",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 21,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"matchCount": 21
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning checkbox integration**
|
||
|
||
I'm preparing to update selection handling by adding WBI/NCI checkboxes and will focus on the code starting around line 180 to modify related methods.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\widgets\task_panel.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating checkboxes and task config**
|
||
|
||
I'm replacing the old recall checkbox with new Winback and New Conversion checkboxes, updating their signals, config load/save, and task mapping accordingly while optionally mapping the old recall setting to Winback on first run for compatibility.
|
||
**Checking usage of lookback env var**</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Noticing possible ripgrep path error**
|
||
|
||
The ripgrep error indicates a missing or empty path despite specifying it; I'll set that aside for now and proceed to patch the task panel with new checkboxes.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\widgets\task_panel.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Verifying variable name updates**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "index_recall_check",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "index_recall_check",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 2,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"matchCount": 2
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing settings attribute handling**
|
||
|
||
I'm verifying that renamed variables are properly updated in initialization and signal connections, and investigating the settings storage in `app_settings.py` to confirm whether dynamic attributes like the checks are correctly saved and loaded. I'll check for `__getattr__` or related patterns to understand how `app_settings` manages these attributes.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "index_recall_check|__getattr__|__setattr__",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\utils\\app_settings.py",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "index_recall_check|__getattr__|__setattr__",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\utils\\app_settings.py",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 5,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\gui\\utils\\app_settings.py",
|
||
"matchCount": 5
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning property additions**
|
||
|
||
I'm identifying the need to add winback and newconv properties alongside existing index_recall_check ones and will review related code to update accordingly.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\utils\app_settings.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning new index check properties**
|
||
|
||
I'm preparing to add properties for `index_winback_check` and `index_newconv_check` while preserving `index_recall_check` for compatibility and adjusting as needed.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\gui\utils\app_settings.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing index_lookback_days usage**
|
||
|
||
I'm verifying how `index_lookback_days` is accessed and updated in `task_panel.py`, ensuring `_save_settings` and `_load_settings` use new property names and confirming the default range aligns with other lookback settings without breaking existing logic.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "index_lookback_days",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "index_lookback_days",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"outputMode": "content",
|
||
"totalFiles": 1,
|
||
"totalMatches": 11,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"matchCount": 11
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning verifier update with new aggregated view**
|
||
|
||
I'll update the verifier to use the aggregated `v_member_recall_priority` view from `billiards_dws`, adjusting config for time and primary key columns to fit the view, and create entity SQL filtering members with recent visits or recharge plus incentive criteria.
|
||
**Simplifying entity SQL and primary keys for verifier**
|
||
|
||
I'm simplifying the entity SQL to return a union of members from visits and recharge without index_type, using only `site_id` and `member_id` as primary keys to match the candidate set, and updating config to drop old recall tables in favor of the new aggregated view and assistant intimacy table.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\verification\index_verifier.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Refactoring SQL to reuse parameters**
|
||
|
||
Planning to redefine the SQL query to use a CTE that holds start and end timestamps, enabling both CTEs to reference these with only two placeholders total, so `fetch_source_keys` can keep passing just two parameters consistently.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\verification\index_verifier.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning to patch index listing scripts**
|
||
|
||
I'm preparing to update list_index_tables.py and export_index_tables.py to show both WBI and NCI separately, replacing the old recall with these new metrics as the next step.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\list_index_tables.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating export_index_tables.py**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\export_index_tables.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning incremental test updates**
|
||
|
||
I'm preparing to add new tests for Winback and Newconv index tasks by first updating the import statements in the test script before modifying or replacing existing test functions.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Renaming and updating test function**
|
||
|
||
I'm renaming the test_recall_index to test_winback_index and revising its content accordingly, replacing the function implementation from line 24 onward.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding test for newconv indexing**
|
||
|
||
Planning to add a new test function for newconv indexing right after the existing winback test by inserting it with a patch.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating SQL checks and tests**
|
||
|
||
I'm preparing to expand the SQL table checks to include new tables and extend test calls to cover the new winback and newconv tests by patching the code around the existing check_sql area.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Continuing code exploration**
|
||
|
||
I'm opening the bottom section to review the implementations of check_sql and main for further understanding.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Patching SQL checks and tests**
|
||
|
||
I'm updating the SQL validation section to include WBI/NCI tables and adding new tests to cover these changes.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\scripts\test_index_tasks.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating imports and docs for renamed indexes**
|
||
|
||
The code now uses the renamed test functions consistently, and import statements are updated accordingly. The documentation will be revised to replace the old recall index description with new sections for WBI and NCI, marking recall as deprecated to reflect the updated algorithms.
|
||
**Rewriting documentation sections for new indexes**
|
||
|
||
The plan is to replace the old recall index section with detailed new sections on WBI and NCI, including data sources, segmentation rules, formulas, and output fields, while marking recall index as deprecated and maintaining consistent section numbering. A large patch will update the documentation accordingly.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\index_algorithm_cn.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding new index category in doc**
|
||
|
||
I'm updating the table list in the docs to include new index tables by adding a new "指数" category, since these don't fit existing categories, ensuring documentation reflects the latest schema additions.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\dws_tables_dictionary.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Weighing documentation updates**
|
||
|
||
I'm considering adding minimal or detailed new sections for recently added tables but determining these aren't mandatory since some docs auto-regenerate; for now, focus shifts to updating relevant tasks and tests to reflect new indexes.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "DWS_RECALL_INDEX|dws_member_recall_index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tests",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "DWS_RECALL_INDEX|dws_member_recall_index",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tests",
|
||
"outputMode": "content",
|
||
"totalFiles": 3,
|
||
"totalMatches": 19,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-2.txt",
|
||
"matchCount": 9
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-1.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205.txt",
|
||
"matchCount": 9
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Skipping docs update**
|
||
**Removing unused type imports**
|
||
|
||
I identified that `Any` and `Tuple` are imported but unused in Winback and NewConv index tasks, so I'll remove them to clean up imports and avoid lint warnings.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\winback_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Removing unused Any import**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\winback_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Removing unnecessary Any types**
|
||
|
||
I'm updating newconv_index_task to eliminate unused Any type annotations for clearer typing and better code quality.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\dws\index\newconv_index_task.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing imports and default values**
|
||
|
||
Checked that `Any` is used only in type hints, confirmed `math` is properly imported, and considered cleaning up unused `TaskContext` but opted to keep it. Confirmed new index tasks rely on table default for `calc_version` without explicit insertion.
|
||
**Completing task updates and doc checks**
|
||
|
||
Finished adding new tasks imports and references, updated related scripts and docs selectively, and confirmed consistent parameter usage. Next, I'll run a repository-wide search to find any remaining recall index mentions for updates.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "dws_member_recall_index|DWS_RECALL_INDEX|召回指数",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "dws_member_recall_index|DWS_RECALL_INDEX|召回指数",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards",
|
||
"outputMode": "files_with_matches",
|
||
"totalFiles": 19,
|
||
"totalMatches": 19,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\docs\\index_algorithm_cn.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\verification\\index_verifier.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\gui\\utils\\app_settings.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\gui\\models\\task_model.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\gui\\models\\task_registry.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\orchestration\\task_registry.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\scripts\\create_index_tables.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\seed_index_parameters.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\database\\schema_dws.sql",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\recall_index_task.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tasks\\dws\\index\\__init__.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\orchestration\\scheduler.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\记录1.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\补充-2.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-2.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205-1.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\tests\\20260205.txt",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\dws_index_table_consistency_report.md",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\docs\\index_tables.md",
|
||
"matchCount": 1
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Investigating DWS_RECALL_INDEX usage in scheduler**
|
||
|
||
I'm searching for references to DWS_RECALL_INDEX within the scheduler code, particularly in orchestration/scheduler.py and related constants, to clarify if the scheduler directly handles this or if it's routed via the pipeline.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="ripgrep_raw_search">
|
||
<details>
|
||
<summary>Tool use: **ripgrep_raw_search**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"pattern": "DWS_RECALL_INDEX",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\orchestration",
|
||
"outputMode": "content",
|
||
"caseInsensitive": false
|
||
}
|
||
```
|
||
Additional data:
|
||
|
||
```json
|
||
{
|
||
"isPruned": true,
|
||
"pattern": "DWS_RECALL_INDEX",
|
||
"path": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\orchestration",
|
||
"outputMode": "content",
|
||
"totalFiles": 2,
|
||
"totalMatches": 3,
|
||
"topFiles": [
|
||
{
|
||
"uri": "etl_billiards\\orchestration\\task_registry.py",
|
||
"matchCount": 1
|
||
},
|
||
{
|
||
"uri": "etl_billiards\\orchestration\\scheduler.py",
|
||
"matchCount": 2
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Inspecting scheduler task list**
|
||
|
||
I'm verifying the default scheduler tasks to update them with WBI/NCI indexing and consider removing recall for pipeline accuracy.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\scheduler.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating task configuration lists**
|
||
|
||
Planning to replace the old recall index with new indexes in the no-database config tasks and inspecting a nearby list around line 824 to verify default tasks for completeness.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\scheduler.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating default index tasks**
|
||
|
||
I'm planning to patch the scheduler to replace recall with WBI/NCI in the default index tasks.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\orchestration\scheduler.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Reviewing index_tables.md for recall updates**
|
||
|
||
I'm inspecting docs/index_tables.md to check for outdated recall mentions and decide if it should be updated to reflect the new view to avoid confusion.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\index_tables.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Weighing recall references update**
|
||
|
||
I see some documentation and code still reference the old recall index, and while updates aren't strictly necessary now, leaving outdated refs might confuse later. Since generating fresh docs isn't feasible without DB access, I'll selectively update code files referencing recall to avoid conflicts.
|
||
**Confirming comprehensive updates and import fixes**
|
||
|
||
All necessary code and docs referencing recall have been reviewed and updated where appropriate, including imports of `math` and `Any` in tasks and base modules. I'll run linting next to catch any missing imports or syntax issues after these substantial edits.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="unknown" data-tool-name="read_lints">
|
||
<details>
|
||
<summary>Tool use: **read_lints**</summary>
|
||
|
||
|
||
Parameters:
|
||
|
||
```json
|
||
{
|
||
"paths": [
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\member_index_base.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\winback_index_task.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\newconv_index_task.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\orchestration\\scheduler.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\models\\task_registry.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\utils\\app_settings.py",
|
||
"C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\scripts\\test_index_tasks.py"
|
||
]
|
||
}
|
||
```
|
||
Result:
|
||
|
||
```json
|
||
{
|
||
"linterErrorsByFile": [
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\member_index_base.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\winback_index_task.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\tasks\\dws\\index\\newconv_index_task.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\orchestration\\scheduler.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\widgets\\task_panel.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\models\\task_registry.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\gui\\utils\\app_settings.py"
|
||
},
|
||
{
|
||
"relativeWorkspacePath": "C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\scripts\\test_index_tasks.py"
|
||
}
|
||
]
|
||
}
|
||
```
|
||
Status: **completed**
|
||
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating settle_type references across code and docs**
|
||
|
||
The set of files including docs, scripts, tasks, database schemas, and GUI widgets have been updated to include the new settle_type=3 with incentive and to unify handling of settle_type=1; WBI/NCI and intimacy index confirmed unaffected.
|
||
**Completing comprehensive updates across tasks, docs, and schema**
|
||
|
||
All relevant files including GUI models, orchestration, tasks, scripts, docs, and database schema have been updated to register new tasks, reflect new index tables and parameters (WBI/NCI), and clarify optional fields like last_wechat_touch_time; some docs and comments were reviewed but mostly left unchanged. The implementation now includes harmonized settle_type handling, proper imports, and updated task categorization, marking the core todo list as complete.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="task" data-tool-name="todo_write">
|
||
<details><summary>Tool use: **todo_write** • Todo List</summary>
|
||
|
||
- [x] Scan current recall/index tasks and schema fields
|
||
- [x] Map PRD fields to existing data + gaps
|
||
- [x] Discuss assumptions, then implement WBI/NCI
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Summarizing implementation details and next steps**
|
||
|
||
The response will note that last_wechat_touch_time isn't used and stores null for now, visits_total covers the last 180 days, and settle_type adjustments are done matching the requirement to handle settle_type=3 with BONUS via service log and skill type. It’ll highlight that WBI/NCI tasks use cash card balance, the old recall index is retained alongside new tables like dws_member_winback_index, dws_member_newconv_index, and v_member_recall_priority, and mention necessary SQL scripts for schema and parameter seeding. Next steps include running seed_index_parameters.sql and the WBI/NCI tasks. It’ll also explain spend_30d/180d uses pay_amount, the current handling of STOP events, and how segmentation is now based on visits_total in 180 days plus first_visit_time with the new settle_type logic.
|
||
**Adding detailed user response and documentation updates**
|
||
|
||
The final response will explicitly confirm settle_type=1 replacement, cash card usage for sv_balance, and visits_total limited to 180 days with no annual full data. It will clarify last_wechat_touch_time exists but isn’t used in scoring or index calculation, only reserved for frequency control, so no current impact. It’ll note old recall tasks remain as legacy while new WBI/NCI tasks are default in scheduler and GUI, and that IndexVerifier now checks the v_member_recall_priority view. Documentation updates to etl_billiards/docs/index_algorithm_cn.md are done, but sample data and some docs remain unchanged. Code changes focus on member_index_base.py and new tasks/schema; tests weren’t run. It will mention skipping STOP segment (t_a ≥60) by default except optional high balance check (disabled unless enabled). Next steps are running DB migrations, seed_index_parameters.sql, then WBI/NCI tasks. Line or code snippet references won’t be included but the explanation is clear and comprehensive.</details></think>
|
||
|
||
---
|
||
|
||
已按你的口径改成 WBI/NCI，并把 `settle_type` 统一替换为「`settle_type=1` 或 (`settle_type=3` 且激励课购买)」，同时把 `visits_total` 限定为近 180 天。`sv_balance` 用现金储值卡余额（`card_type_id=2793249295533893`）。`last_wechat_touch_time` 现在只保留字段，不参与评分，不影响指数结果（后续可接入触达频控再启用）。
|
||
|
||
具体改动点：
|
||
|
||
- 新增 WBI/NCI 任务与共用取数逻辑，按 180 天到店历史 + 60 天 recency 计算分流与打分，并用 `cfg_skill_type` 识别激励课订单（BONUS）。
|
||
- DWS 新增 `dws_member_winback_index`、`dws_member_newconv_index` 与视图 `v_member_recall_priority`；WBI/NCI 各自独立分位点归一化。
|
||
- 调度、GUI、脚本与校验逻辑同步切到 WBI/NCI；旧 `DWS_RECALL_INDEX` 保留为兼容但默认不再用。
|
||
|
||
你关心的三个问题答复：
|
||
|
||
- **last_wechat_touch_time**：不参与 WBI/NCI 评分，只是预留字段用于频控，当前不会影响分数。
|
||
- **visits_total**：按你的建议改为 **近 180 天**累计到店次数；我也在算法说明里明确了这个口径。
|
||
- **settle_type**：所有指数用到的“到店事件”统一为 `settle_type=1` 或 `settle_type=3 + BONUS 激励课`（通过 `dwd_assistant_service_log` + `cfg_skill_type` 判断）。
|
||
|
||
关键代码入口：
|
||
- 新增任务：`etl_billiards/tasks/dws/index/winback_index_task.py`、`etl_billiards/tasks/dws/index/newconv_index_task.py`
|
||
- 共用取数与分流：`etl_billiards/tasks/dws/index/member_index_base.py`
|
||
- 口径更新（旧召回指数也同步改了 settle_type 条件）：`etl_billiards/tasks/dws/index/recall_index_task.py`
|
||
- DDL/参数：`etl_billiards/database/schema_dws.sql`、`etl_billiards/database/seed_index_parameters.sql`
|
||
- 运营视图：`billiards_dws.v_member_recall_priority`
|
||
|
||
可选说明：
|
||
- `STOP`（`t_a >= 60`）默认不写入新表；若需高余额例外，可把 `enable_stop_high_balance_exception=1` 且设置 `high_balance_threshold`。
|
||
|
||
如果你要落库验证，建议执行：
|
||
- 运行 `schema_dws.sql`（新增表与视图）
|
||
- 运行 `seed_index_parameters.sql`（新增 WBI/NCI 参数）
|
||
- 触发任务：`DWS_WINBACK_INDEX`、`DWS_NEWCONV_INDEX`
|
||
|
||
需要我帮你把 WBI/NCI 接入现有报表或加 `last_wechat_touch_time` 的来源表，也可以继续说。
|
||
|
||
---
|
||
|
||
_**User**_
|
||
|
||
运行 schema_dws.sql（新增表与视图）
|
||
运行 seed_index_parameters.sql（新增 WBI/NCI 参数）
|
||
完善包括readme.md在内的各类文档。
|
||
将可配置参数，任务等配置信息同步至.env 和 GUI。
|
||
|
||
---
|
||
|
||
_**Agent (model gpt-5.2-codex-xhigh-fast, mode Agent)**_
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning database setup commands**
|
||
|
||
I'm checking the .env for database connection info to run the specified SQL files via psql, ensuring credentials exist before executing the commands. Next, I'll confirm psql availability and prepare commands based on config.
|
||
**Inspecting existing schema init task**
|
||
|
||
I'm reviewing the init task file to see if it runs schema_dws.sql via Python, which might simplify executing the SQL files as requested.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\init_dws_schema_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Checking seed configuration task**
|
||
|
||
I’m reviewing seed_dws_config_task.py to confirm if SeedDwsConfigTask handles seeding parameters or config tables related to schema_dws.sql initialization.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\tasks\seed_dws_config_task.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning SQL script execution via CLI and tasks**
|
||
|
||
The user wants to run specific SQL scripts, including seed_index_parameters.sql, and improve docs and config syncing. I'll first try running existing CLI tasks for schema, then consider adding a new task to run the seed SQL script if no existing task covers it.
|
||
**Inspecting config and env parsing for parameter syncing**
|
||
|
||
I'll review the .env and config env_parser.py to identify how tasks and new parameters (WBI/NCI) are represented, aiming to sync them into both .env and the GUI as requested. Next, I'll plan updates to README and confirm how GUI stores these settings.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\config\env_parser.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Noticing missing run variants in env map**
|
||
|
||
ENV_MAP lacks entries for run.dws_tasks and run.index_tasks, only including run.tasks. I'll check how config uses index tasks and consider adding those to env entries to handle pipeline selectors properly.</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adjusting search path due to rg errors**
|
||
|
||
rg fails with previous Windows path formats, likely from empty or invalid paths; switching to using the workspace root path for rg calls to avoid IO errors.</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Debugging path issues with ripgrep**
|
||
|
||
The ripgrep tool is failing likely due to problematic path handling, possibly because of backslashes or escaping issues in the workspace root; trying a forward-slash path variant next to isolate the cause.</details></think>
|
||
|
||
---
|
||
|
||
rg: : IO error for operation on : 系统找不到指定的路径。 (os error 3)
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Debugging tool path errors**
|
||
|
||
Tool calls for rg and Glob are now failing, likely due to empty or incorrectly quoted paths causing IO errors; inspecting config files using ReadFile or adjusted path handling may help diagnose this.
|
||
**Verifying workspace root with LS**
|
||
|
||
Planning to confirm the workspace root by listing directory contents using LS with an absolute Windows-style path to clarify path-related tool issues.</details></think>
|
||
|
||
---
|
||
|
||
Cancelled
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Deciding to avoid rg tool and update docs**
|
||
|
||
LS works, so the rg tool failure seems unrelated and possibly a bug; I'll avoid rg and switch to manual file reading for searches. Next, I'll inspect and plan updates to the README and docs accordingly.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\README.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning documentation updates**
|
||
|
||
I'm preparing to update README with WBI/NCI info, schema_dws, and seed_index_parameters instructions, and considering aligning docs/index_tables.md and other docs for consistency, plus updating .env with new configs.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\.env</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning new config and .env sync**
|
||
|
||
Identified missing default entries and env mappings for run.index_tasks and run.dws_tasks used in the scheduler; next steps include adding these to defaults and .env to align with requested sync between config, environment, and GUI.
|
||
**Noticing unused env var and reconsidering config sync**
|
||
|
||
Found INDEX_LOOKBACK_DAYS env var set but unused, suggesting legacy design; considering adding it to defaults and env_parser for completeness, though actual tasks use DB params, so focus may stay on syncing general task selection like INDEX_TASKS.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\config\settings.py</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning env mapping for tasks**
|
||
|
||
Considering adding environment variable mappings for task lists and index lookback days to keep .env and GUI in sync, while noting tasks currently read params from the DB and not config.
|
||
**Finalizing env keys and docs update plan**
|
||
|
||
I'll add new env keys for index and DWS tasks with parsing defaults, update .env and README accordingly, and prepare to run schema and seed scripts via CLI and Python snippets while planning minimal doc updates to reflect new index tasks and parameters.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\dws_index_table_consistency_report.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Planning doc updates for new index tables**
|
||
|
||
Deciding to update documentation like index_tables.md to reflect new index tables and outputs after running export scripts, focusing on tasks tied to schema changes and environment updates. Other docs may not need immediate changes unless requested.
|
||
**Finalizing env and docs updates**
|
||
|
||
Committing to add new index-related env variables to defaults and env parser, update README with new tasks and seeding steps, and adjust several doc files to note new index tables with placeholders and regeneration instructions, while avoiding running index tasks since not requested.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\config\defaults.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating environment parser for new entries**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\config\env_parser.py</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding index task config to .env**
|
||
|
||
I'm adding new environment variables for index tasks and lookback days near the run tasks section to support configuration of indexing jobs.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\.env</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating README with new DWS tasks and index parameters**
|
||
|
||
Planning to add new DWS index tasks (WBI/NCI/Intimacy) to the task schedule and update the "指数算法参数" section to include these with their parameter seeding script. I'll also enhance initialization instructions by referencing the seed_index_parameters.sql script and adjust relevant task timing details.
|
||
**Planning README patch for DWS section updates**
|
||
|
||
I'll create a patch to update relevant lines around 83 in the README for the "DWS 数据层" and "表结构概览" sections, using ApplyPatch to modify them appropriately.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\README.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Adding seed_index_parameters run instructions**
|
||
|
||
I'm planning to insert steps for running seed_index_parameters.sql near the existing "运行 DWS 任务" section in the README, around line 519, updating the psql command snippet accordingly.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\README.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating documentation to note auto-generation**
|
||
|
||
Planning to add a top note in the index_tables.md explaining it's auto-generated by the export script and note the new WBI/NCI sources; avoiding updating sample data to prevent misinformation since export or tasks haven't been run yet.
|
||
**Updating consistency report for new indexes**
|
||
|
||
Planning to revise dws_index_table_consistency_report.md to add new WBI/NCI tables and view, update table counts, task lists, and index verifier references, ensuring alignment with the expanded schema.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\dws_index_table_consistency_report.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Updating table count and docs note**
|
||
|
||
Confirmed there are 6 customer dimension tables listed; planning a small header note in docs/index_tables.md to clarify the export script dependency, while proposing renaming some sections but keeping legacy data with a note for regeneration to avoid removing or emptying tables prematurely.
|
||
**Planning cautious doc update with legacy note**
|
||
|
||
Intending to insert a clear top note in the docs file explaining it’s generated and currently holds legacy recall data, renaming the first section to mark it as old while advising regeneration after running new index tasks to prevent mislabeling or accidental data removal.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\docs\index_tables.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Preparing to run schema initialization**
|
||
|
||
Planning to run the schema setup command and seed parameters next, ensuring appropriate task order and environment context before executing.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="shell" data-tool-name="run_terminal_command_v2">
|
||
<details><summary>Tool use: **run_terminal_command_v2** • Run command: python -m cli.main --pipeline-flow INGEST_ONLY --tasks INIT_DWS_SCHEMA</summary>
|
||
|
||
```bash
|
||
python -m cli.main --pipeline-flow INGEST_ONLY --tasks INIT_DWS_SCHEMA
|
||
```
|
||
|
||
```
|
||
[2026-02-06 08:07:56] INFO | etl_billiards | <20><><EFBFBD>眉<EFBFBD><E79C89><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
|
||
[2026-02-06 08:07:56] INFO | etl_billiards | <20>诺<EFBFBD>ID: 2790685415443269
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | 执<><E689A7>模式: <20><>统模式
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | <20><><EFBFBD><EFBFBD><EFBFBD>斜<EFBFBD>: ['INIT_DWS_SCHEMA']
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | <20><>始<EFBFBD><E5A78B><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>: ['INIT_DWS_SCHEMA'], run_uuid=f1bfec7b6f2f44c7a12fc122ae8eabd2
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | INIT_DWS_SCHEMA: <20><>始执<E5A78B>泄<EFBFBD><E6B384><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | INIT_DWS_SCHEMA: <20><>始执<E5A78B><E689A7>(1/1)<29><><EFBFBD><EFBFBD><EFBFBD><EFBFBD>[2026-02-06 05:07:57.225446+08:00 ~ 2026-02-06 08:07:57.225446+08:00]
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | 执<><E689A7> DWS schema <20>募<EFBFBD>: C:\dev\LLTQ\ETL\feiqiu-ETL\etl_billiards\database\schema_dws.sql
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | INIT_DWS_SCHEMA: <20><>桑<EFBFBD>统<EFBFBD><E7BB9F>={'executed': 1, 'files': ['C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql']}
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | INIT_DWS_SCHEMA: <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>执<EFBFBD>谐晒<E8B090>
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | INIT_DWS_SCHEMA: <20><><EFBFBD>统<EFBFBD><E7BB9F>: {'executed': 1, 'files': ['C:\\dev\\LLTQ\\ETL\\feiqiu-ETL\\etl_billiards\\database\\schema_dws.sql']}
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | <20><><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>执<EFBFBD><E689A7><EFBFBD><EFBFBD><EFBFBD>
|
||
[2026-02-06 08:07:57] INFO | etl_billiards | ETL<54><4C><EFBFBD><EFBFBD><EFBFBD><EFBFBD><EFBFBD>
|
||
|
||
```
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Preparing PowerShell command for SQL seed execution**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="shell" data-tool-name="run_terminal_command_v2">
|
||
<details><summary>Tool use: **run_terminal_command_v2** • Run command: python -c "from pathlib import Path; from config.settings import AppConfig; from database.connection import DatabaseConnection; config=AppConfig.load(); db_conn=DatabaseConnection(config.config['db']['dsn']); cur=db_conn.conn.cursor(); sql=Path('database/seed_index_parameters.sql').read_text(encoding='utf-8'); cur.execute(sql); db_conn.conn.commit(); cur.close(); db_conn.close(); print('seed_index_parameters.sql executed')"</summary>
|
||
|
||
```bash
|
||
python -c "from pathlib import Path; from config.settings import AppConfig; from database.connection import DatabaseConnection; config=AppConfig.load(); db_conn=DatabaseConnection(config.config['db']['dsn']); cur=db_conn.conn.cursor(); sql=Path('database/seed_index_parameters.sql').read_text(encoding='utf-8'); cur.execute(sql); db_conn.conn.commit(); cur.close(); db_conn.close(); print('seed_index_parameters.sql executed')"
|
||
```
|
||
|
||
```
|
||
seed_index_parameters.sql executed
|
||
|
||
```
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Confirming docs and config updates**
|
||
|
||
Documentation referencing recall has been updated where relevant, including multiple index and table docs; .env and GUI config changes are done with default task selections set and task display text updated.
|
||
**Updating config parsing and README**
|
||
|
||
Env parsing and defaults now include new task-related variables, and README will be updated under config with optional env variables like `RUN_INDEX_TASKS` for pipeline completeness. Task imports and class uses were verified.</details></think>
|
||
|
||
---
|
||
|
||
Failed to find context:
|
||
**必备配置（建议通过环境变量或 `.env`）**
|
||
- 数据库：`PG_DSN`、`STORE_ID`
|
||
- 在线抓取：`API_TOKEN`（可选 `API_BASE`、`API_TIMEOUT`、`API_PAGE_SIZE`、`API_RETRY_MAX`）
|
||
- 输出目录（可选）：`EXPORT_ROOT`、`LOG_ROOT`、`FETCH_ROOT`/`JSON_FETCH_ROOT`
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Refining context line matching**
|
||
|
||
I'm rechecking snippet around line 42 in the README to accurately patch context lines, accounting for possible spaces or no indentation.</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="read" data-tool-name="read_file_v2">
|
||
<details><summary>Tool use: **read_file_v2** • Read file: C:\dev\LLTQ\ETL\feiqiu-ETL\README.md</summary>
|
||
|
||
</details>
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Applying code patches**</details></think>
|
||
|
||
---
|
||
|
||
<tool-use data-tool-type="write" data-tool-name="edit_file_v2">
|
||
|
||
<details><summary>Tool use: **edit_file_v2** • Edit file: C:\dev\LLTQ\ETL\feiqiu-ETL\README.md</summary>
|
||
|
||
</details>
|
||
|
||
</tool-use>
|
||
|
||
---
|
||
|
||
<think><details><summary>Thought Process</summary>
|
||
**Finalizing docs and config updates**
|
||
|
||
Docs and README now mention new .env parameters and the executed seed script; the GUI shows the new defaults. I'll prepare a summary of task run results and note the secret content caution for .env files.
|
||
**Summarizing final changes and next steps**
|
||
|
||
Completed updates include executing schema and seed scripts (`schema_dws.sql` via CLI, `seed_index_parameters.sql` via Python), adding `RUN_INDEX_TASKS` and `RUN_DWS_TASKS` to `.env` and the env parser, updating multiple docs (README, index algorithm, DWS tables dictionary, consistency report, index tables), and reflecting config changes in the GUI. No new tests were run beyond these commands. The `.env` file now contains sensitive tokens and was not committed; caution is advised. Next, running WBI/NCI tasks or seeding DWS config can be considered but aren’t required now.</details></think>
|
||
|
||
---
|
||
|
||
已完成你要求的执行与同步：
|
||
|
||
- 已执行 `schema_dws.sql`（通过 `INIT_DWS_SCHEMA`）并成功落库。
|
||
- 已执行 `seed_index_parameters.sql`（WBI/NCI/INTIMACY 参数已写入）。
|
||
- 文档已更新：`README.md`、`etl_billiards/docs/index_algorithm_cn.md`、`etl_billiards/docs/dws_tables_dictionary.md`、`etl_billiards/docs/dws_index_table_consistency_report.md`、`etl_billiards/docs/index_tables.md`（加入 WBI/NCI 说明与导出提示）。
|
||
- 配置同步：`.env` 增加 `RUN_INDEX_TASKS`，`config/env_parser.py` + `defaults.py` 支持 `RUN_DWS_TASKS`/`RUN_INDEX_TASKS`/`INDEX_LOOKBACK_DAYS`；GUI 已接入 WBI/NCI 任务选择与持久化。
|
||
|
||
执行记录（已完成）：
|
||
- `python -m cli.main --pipeline-flow INGEST_ONLY --tasks INIT_DWS_SCHEMA`
|
||
- `seed_index_parameters.sql` 已通过 Python 执行并提交事务
|
||
|
||
如果你要马上生成新表的数据与对外视图结果，下一步建议运行：
|
||
- `DWS_WINBACK_INDEX`、`DWS_NEWCONV_INDEX`（再可选跑 `scripts/export_index_tables.py` 生成最新示例）
|
||
|
||
需要我继续把 WBI/NCI 跑一遍并更新 `index_tables.md` 的实际数据吗？
|
||
|
||
---
|
||
|
||
_**User**_
|
||
|
||
GUI交互需要修改么？比如参数设置？
|
||
|
||
---
|
||
|