From 8429dc4f3cca146790a5a66e18f8ddd690ea0c82 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=B0=8F=E6=BA=AA?= Date: Fri, 17 Apr 2026 08:00:01 +0800 Subject: [PATCH] =?UTF-8?q?=F0=9F=A4=96=20=E6=AF=8F=E6=97=A5=E8=87=AA?= =?UTF-8?q?=E5=8A=A8=E5=A4=87=E4=BB=BD=20-=202026-04-17=2008:00:01?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .vala_skill_hashes | 2 +- ...26-04-16-request-timed-out-before-a-res.md | 201 ++++++++++++++++++ scripts/run_user_course_stat.sh | 4 +- skills/refund-user-learning-analysis/SKILL.md | 6 +- 4 files changed, 208 insertions(+), 5 deletions(-) create mode 100644 memory/2026-04-16-request-timed-out-before-a-res.md diff --git a/.vala_skill_hashes b/.vala_skill_hashes index 83768e5..913b9bd 100644 --- a/.vala_skill_hashes +++ b/.vala_skill_hashes @@ -10,4 +10,4 @@ smart-auto-model-switch f94a7b1ff6357c287a374366b339cd06b0dde5ca9e965a71a369ff66 vala-component-oops-stat 2e3a3dc8ee252f133256ec5fb8edc031fc25ff602158fd2ddf778ce4d2b961f2 vala-component-practice-stat 8e768e2641019d27bd41f4647d2d90f24182a0554dad5ad9f4136e9ce0bae147 cron-schedule e103cbb1806b28c891b9c856963325086ecaff32edec208f0a841865f26e8f3e -refund-user-learning-analysis 18f23bb62167466319ab667225cad5fc654680fe7820a1f3d87cfe98c30e96fd +refund-user-learning-analysis 648fd4ae2b29167fd66eab4245bdaaef00242db3131f4919cc02f07ca2a9b59c diff --git a/memory/2026-04-16-request-timed-out-before-a-res.md b/memory/2026-04-16-request-timed-out-before-a-res.md new file mode 100644 index 0000000..ca4e169 --- /dev/null +++ b/memory/2026-04-16-request-timed-out-before-a-res.md @@ -0,0 +1,201 @@ +# Session: 2026-04-16 07:22:21 UTC + +- **Session Key**: agent:main:feishu:direct:ou_e63ce6b760ad39382852472f28fbe2a2 +- **Session ID**: c4896cd6-22c6-49d3-9011-2b5b26be26ac +- **Source**: feishu + +## Conversation Summary + +user: System: [2026-04-16 09:57:52 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b51306f3b94acb2d1d667d33b729] + +A new session was started via /new or /reset. Run your Session Startup sequence - read the required files before responding to the user. Then greet the user in your configured persona, if one is provided. Be yourself - use your defined voice, mannerisms, and mood. Keep it to 1-3 sentences and ask what they want to do. If the runtime model differs from default_model in the system prompt, mention the default model. Do not mention internal steps, files, tools, or reasoning. +Current time: Thursday, April 16th, 2026 — 9:58 AM (Asia/Shanghai) / 2026-04-16 01:58 UTC +assistant: 承龙你好~ 我是数据分析师小溪📊，有任何数据查询、分析相关的需求都可以跟我说哦。 +user: System: [2026-04-16 09:58:15 GMT+8] Feishu[xiaoxi] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b51306da5d8a0b3ce2828e3608bf] +System: [2026-04-16 10:27:24 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b5130de6058b8b2295fa51ea52b7] +System: [2026-04-16 10:27:24 GMT+8] Model switched to opus (cloudsway/MaaS_Cl_Opus_4.6_20260205_cache). +System: [2026-04-16 10:29:29 GMT+8] Feishu[xiaoxi] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b5130d6b07080b2d0e3842f73fe7] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b5130d6b07080b2d0e3842f73fe7", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Thu 2026-04-16 10:29 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +refund-user-learning-analysis这个skill的SKILL.md文档中，分析流程的step2中的start和end的日期会跟着step1中确认的时间范围参数变化么 +assistant: + +让我先看一下这个 skill 的具体内容。 +assistant: 看完了。Step 2 中的 `--start 2026-04-01 --end 2026-05-01` 是**写死的示例值**，并不会自动跟着 Step 1 中用户确认的时间范围变化。 + +也就是说，SKILL.md 里这段命令只是一个静态示例模板，实际执行时需要我根据 Step 1 中和你确认好的时间范围，手动把 `--start` 和 `--end` 替换成对应的日期再执行。 + +需要我把 SKILL.md 改得更明确一些吗？比如把示例中的日期改成 `` / `` 这样的占位符，让语义更清晰。 +user: System: [2026-04-16 10:31:56 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b5130ef7964b0b10f9a255f6646a] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b5130ef7964b0b10f9a255f6646a", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Thu 2026-04-16 10:31 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +需要将分析流程的step2中的start和end的日期调整为会跟着step1中确认的时间范围参数变化的形势 +assistant: + +好的，我来把 Step 2 中的日期改成占位符形式，让语义更明确。 +assistant: 已更新完成 ✅ + +现在 Step 2 的命令模板变成了： + +```bash +python3 scripts/query_refund_learning.py \ + --start --end \ + --output /tmp/refund_learning_report.json \ + --pure --outlier +``` + +所有参数都会根据 Step 1 中和用户确认的结果动态替换，不再是写死的示例值了。 +user: System: [2026-04-16 15:03:56 GMT+8] Feishu[xiaoxi] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b513cd37974bcb4a20043b24f3c2] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b513cd37974bcb4a20043b24f3c2", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Thu 2026-04-16 15:03 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +4月份学霸和念妈分别卖了多少 +assistant: + +我需要查询4月份"学霸"和"念妈"两个渠道的销售数据。根据MEMORY.md中的规则，查询"XX卖了多少"需要返回订单数、GMV、GSV、退费率四个指标，并且需要剔除测试账号。 + +先查一下数据库。 +assistant: 4月份（截至目前）两个渠道的销售数据如下： + +**学霸** +- 订单数：958 单 +- GMV：296.40 万元 +- GSV：162.79 万元 +- 退费率：45.3% + +**念妈** +- 订单数：118 单 +- GMV：37.02 万元 +- GSV：22.39 万元 +- 退费率：39.0% + +学霸的单量远高于念妈，但退费率也偏高一些（45.3% vs 39.0%）。需要进一步拆分看看吗？ +user: System: [2026-04-16 15:05:27 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b513ceda550a0b3b8fd2434d1363] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b513ceda550a0b3b8fd2434d1363", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Thu 2026-04-16 15:05 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +4月份整体卖了多少 +assistant: 4月份整体销售数据（截至今天）： + +- **订单数**：1,295 单 +- **GMV**：389.35 万元 +- **GSV**：232.36 万元 +- **退费率**：39.5% + +其中学霸和念妈合计贡献了 1,076 单（占 83.1%），剩余 219 单来自其他渠道。需要看更细的渠道拆分吗？ +user: System: [2026-04-16 15:06:44 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b513ce6f8b89cb34d2e7072a2d64] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b513ce6f8b89cb34d2e7072a2d64", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Thu 2026-04-16 15:06 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +4月份除了学霸和念妈各个渠道分别卖了多少 +assistant: 4月份除学霸和念妈外，各渠道销售数据如下： + +| 渠道 | 订单数 | GMV(元) | GSV(元) | 退费率 | +|---|---|---|---|---| +| 达人-老狼聊育儿(微信) | 39 | 130,728 | 123,132 | 7.7% | +| 端内购买(H5) | 35 | 38,165 | 34,068 | 8.6% | +| 达人-四个娃组合生活(小红书) | 20 | 65,564 | 32,782 | 50.0% | +| 万物心选店铺 | 18 | 47,175 | 45,176 | 5.6% | +| 达人-晚柠也是个妈妈了(小红书) | 15 | 50,772 | 36,380 | 26.7% | +| 端内购买(销售) | 14 | 28,384 | 28,384 | 0.0% | +| 销售-cd-zjf | 14 | 31,184 | 31,184 | 0.0% | +| 销售-bj-jxl | 14 | 32,982 | 32,982 | 0.0% | +| 销售-cd-yy | 12 | 31,983 | 28,385 | 8.3% | +| 抖音店铺 | 11 | 29,984 | 18,390 | 45.5% | +| 小红书店铺 | 7 | 17,390 | 16,791 | 14.3% | +| 微信小店 | 5 | 8,993 | 5,395 | 20.0% | +| 其余7个渠道(各1-3单) | 10 | 38,780 | 31,586 | — | + +几个值得关注的点： +- **老狼聊育儿**单量最高（39单），退费率仅7.7%，质量不错 +- **四个娃组合生活**和**抖音店铺**退费率偏高（50%、45.5%），需要留意 +- 销售渠道（sales-adp开头）整体退费率很低，基本为0 + +需要进一步分析哪个渠道吗？ diff --git a/scripts/run_user_course_stat.sh b/scripts/run_user_course_stat.sh index b0acccd..ec4b075 100755 --- a/scripts/run_user_course_stat.sh +++ b/scripts/run_user_course_stat.sh @@ -1,6 +1,6 @@ #!/bin/bash # 用户购课完课统计定时任务脚本 -# 执行时间：每周一9:00 +# 执行时间：每天9:00 # 输出：Excel报表，发送到指定群 # 配置参数 @@ -28,7 +28,7 @@ if [ $? -ne 0 ]; then fi # 2. CSV转Excel -python3 - << 'EOF' +python3 - << EOF import pandas as pd import numpy as np try: diff --git a/skills/refund-user-learning-analysis/SKILL.md b/skills/refund-user-learning-analysis/SKILL.md index f7af9d3..f2d8a33 100644 --- a/skills/refund-user-learning-analysis/SKILL.md +++ b/skills/refund-user-learning-analysis/SKILL.md @@ -30,11 +30,13 @@ description: | ```bash python3 scripts/query_refund_learning.py \ - --start 2026-04-01 --end 2026-05-01 \ + --start --end \ --output /tmp/refund_learning_report.json \ - --pure true --outlier 60 + --pure --outlier ``` +> **参数说明**: `` 和 `` 替换为 Step 1 中用户确认的起止日期（格式 YYYY-MM-DD）；`` 替换为是否剔除仍有有效订单的用户（true/false）；`` 替换为巩固用时异常阈值（分钟）。 + 脚本自动完成: 1. 筛选时间段内购课且退费(order_status=4 + refund status=3)的用户 2. 可选剔除仍持有有效订单(order_status=3)的用户