From be8867e3abda5a1efee0c9ef2f8b57711cbde9e8 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E5=B0=8F=E6=BA=AA?= Date: Sat, 18 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-=202026-04-18=2008:00:01?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...26-04-17-request-timed-out-before-a-res.md | 94 +++++++++++++++++++ scripts/weekly_channel_order_report.sh | 8 +- 2 files changed, 100 insertions(+), 2 deletions(-) create mode 100644 memory/2026-04-17-request-timed-out-before-a-res.md diff --git a/memory/2026-04-17-request-timed-out-before-a-res.md b/memory/2026-04-17-request-timed-out-before-a-res.md new file mode 100644 index 0000000..aac4a5d --- /dev/null +++ b/memory/2026-04-17-request-timed-out-before-a-res.md @@ -0,0 +1,94 @@ +# Session: 2026-04-17 06:31:58 UTC + +- **Session Key**: agent:main:feishu:direct:ou_e63ce6b760ad39382852472f28fbe2a2 +- **Session ID**: 88616d0d-a45b-42f6-b9de-7294e5acefb7 +- **Source**: feishu + +## Conversation Summary + +assistant: ✅ New session started · model: cloudsway/MaaS_Cl_Opus_4.6_20260205_cache (default: volcengine/doubao-seed-2-0-pro-260215) +user: System: [2026-04-17 14:23:21 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b5129534530a4b393b181a373266] + +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: Friday, April 17th, 2026 — 2:23 PM (Asia/Shanghai) / 2026-04-17 06:23 UTC +assistant: + +Let me initialize by reading the required files. +assistant: 已了解近期上下文。当前对话用户为李承龙（`ou_e63ce6b760ad39382852472f28fbe2a2`），是第一业务负责人。 + +承龙你好~ 我是小溪📊，刚重置了会话。上次聊到4月购课用户的U0完成情况和退款分析，有什么需要继续跟进的吗？ +user: System: [2026-04-17 14:24:18 GMT+8] Feishu[xiaoxi] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b51296fd5a4b0b3b6638abde0ba7] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b51296fd5a4b0b3b6638abde0ba7", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Fri 2026-04-17 14:24 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +帮我统计一下，渠道“学霸老王”和“学霸三人行”这两个渠道中4月份退款的用户中，有多少人仍有未退费的有效订单，以及这些用户涉及多少订单 +assistant: + +我来查一下这两个渠道4月份退款用户中仍持有有效订单的情况。 +assistant: 再补充一下这两个渠道4月退款用户的总数，以便给出完整的比例。 +assistant: 注意到退款用户总数中合计419去重后小于 191+235=426，说明有7个用户同时在两个渠道都有退款订单。结果已经清晰了： + +**4月份退款用户中仍持有有效订单的统计：** + +| 渠道 | 退款用户总数 | 仍有有效订单的用户数 | 占比 | 涉及有效订单数 | +|------|------------|-------------------|------|-------------| +| 学霸老王 | 235 | 23 | 9.8% | 23 | +| 学霸三人行 | 191 | 23 | 12.0% | 23 | +| **合计（去重）** | **419** | **46** | **11.0%** | **46** | + +几个要点： +- 两个渠道4月退款用户合计419人（去重），其中**46人仍持有至少1笔有效订单**，占比约11% +- 这46人共涉及**46笔有效订单**，说明每人恰好还有1笔未退的订单 +- 学霸三人行的"仍有有效订单"占比略高（12.0% vs 9.8%） + +需要进一步看这46人的有效订单商品分布，或者其他维度的拆解吗？ +user: System: [2026-04-17 14:26:03 GMT+8] Feishu[default] DM | 李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2) [msg:om_x100b5129696a30b8b37bbd746f5b0ea] + +Conversation info (untrusted metadata): +```json +{ + "message_id": "om_x100b5129696a30b8b37bbd746f5b0ea", + "sender_id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "sender": "李承龙", + "timestamp": "Fri 2026-04-17 14:26 GMT+8" +} +``` + +Sender (untrusted metadata): +```json +{ + "label": "李承龙 (ou_e63ce6b760ad39382852472f28fbe2a2)", + "id": "ou_e63ce6b760ad39382852472f28fbe2a2", + "name": "李承龙" +} +``` + +加一个这两个渠道各自4月份的订单总量 +assistant: 补充完整后的统计如下： + +| 渠道 | 4月订单总量 | 4月购课用户数 | 退款用户数 | 退款率 | 仍有有效订单的用户数 | 占退款用户比 | 涉及有效订单数 | +|------|-----------|------------|----------|-------|-------------------|------------|-------------| +| 学霸老王 | 538 | 510 | 235 | 46.1% | 23 | 9.8% | 23 | +| 学霸三人行 | 420 | 405 | 191 | 47.2% | 23 | 12.0% | 23 | +| **合计** | **958** | **~880(去重)** | **419(去重)** | — | **46(去重)** | **11.0%** | **46** | + +两个渠道4月总订单量958单，退款率都在46%~47%左右。退款用户中约11%的人仍保留了一笔有效订单。 + +还需要进一步拆解吗？ diff --git a/scripts/weekly_channel_order_report.sh b/scripts/weekly_channel_order_report.sh index 1f801b1..4779a6a 100755 --- a/scripts/weekly_channel_order_report.sh +++ b/scripts/weekly_channel_order_report.sh @@ -17,6 +17,7 @@ export PATH=$PATH:/root/.nvm/versions/node/v24.14.0/bin PGPASSWORD="${PG_ONLINE_PASSWORD}" psql -h bj-postgres-16pob4sg.sql.tencentcdb.com -p 28591 -U ai_member -d vala_bi -A -F "," -o "${CSV_FILE}" -c " select key_from as \"购课渠道\", + goods_name as \"购买课包\", created_at as \"购课日期\", count(distinct trade_no) as \"总订单数\", count(distinct case when order_status = 3 then trade_no else NULL end) as \"未退费订单数\", @@ -35,18 +36,21 @@ left join trade_no, date(created_at) as created_at, order_status, - key_from + key_from, + goods_name from bi_vala_order group by account_id, trade_no, date(created_at), order_status, - key_from + key_from, + goods_name ) as b on a.id = b.account_id where key_from is not null group by key_from, + goods_name, created_at order by created_at desc,