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agent:analyst:task-define-constraints-1b25f610 | state=idle | generatedAt=2026-08-18 09:16
session=agent:analyst:task-define-constraints-1b25f610 label=- agent=analyst
lastMessageAt=2026-04-09 23:05 latestEvent=message role=assistant tool=- latestHistoryAt=2026-04-09 23:05
historyCount=9 historyLimit=readonly-safe
historyError=none
status model=gpt-5.4 tokensIn=8282 tokensOut=1732 cost=0 updatedAt=2026-04-09 23:05

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2026-04-09 23:05messageassistant--我先按工作区约定找本地成稿和共享材料,现有 `./output` 里那几个山东总结文件不在,`shared-pool` 里也没有显示相关索引项。基于已找到的样例行情文件,我先给你一个“轻量分析口径”的管理层可读框架,明确哪些约束必须先钉住,哪些风险不能被示范日结果掩盖。 [[reply_to_current]]可按“三层框架”来提炼,重点不是重建模型,而是先把示范日筛选的约束、口径和风险锁死。 ## 一、必须遵守的关键约束 ### 1) 分析目标约束 示范日筛选应服务于“演示独立储能参与现货交易的可解释性”,不是追求单日理论最优收益。 因此优先选: - 价差结构清晰 - 充放电窗口明显 - 结果便于管理层一眼看懂 - 不依赖复杂预测或高频优化假设 ### 2) 数据与时间粒度约束 从现有本地样例看,数据至少包含: - `scenario_date` - `interval_index` - `front_node_price` - `user_settlement_price` 这意味着筛选口径应以“单日、96点、现货价格序列”作为基本分析单元,不宜扩展到更重的联动建模。 ### 3) 交易口径约束 示范日只能用于说明“价差驱动下的交易机会”,不能直接等同于“可实现利润”。 至少要明确不在轻量分析中展开的内容: - 申报偏差与执行偏差 - 充放电效率损失 - 功率/容量硬约束下的真实最优调度 - 并网点、电网约束、出清限制 - 辅助服务或其他市场收益叠加 ### 4) 代表性约束 不能只选“极端高波动、极端高收益”的异常日。 建议筛选出的示范日同时满足: - 日内峰谷价差...
2026-04-09 23:05tool_eventtoolResulttool-# Shared Pool Index Operator uploads from the Control Center are stored in this directory. Instructions for agents: - Before asking the human for upload paths, inspect this folder first. - Read files from `./shared-pool/`. - Write your deliverables to `./output/`. - If a user mentions newly uploaded files, check this index and the folder contents before asking follow-up questions. - Treat the exact filenames listed below as the canonical user-facing names to open. ## Current Files - `preserve-name.txt` · 27 B · updated 2026-04-08T08:36:26.294Z - `test.txt` · 28 B · updated 2026-04-08T08:30:39.155Z - `auto-refresh-check.txt` · 26 B · updated 2026-04-08T08:25:28.380Z - `2026-04-07.md` · 1.8...
2026-04-09 23:05tool_eventtoolResulttool-(no output)
2026-04-09 23:05tool_eventtoolResulttool-scenario_date,interval_index,front_node_price,user_settlement_price 2026-03-01,1,324.0000,319.0160 2026-03-01,2,316.0000,319.0160 2026-03-01,3,318.0000,319.0160 2026-03-01,4,318.0000,319.0160 2026-03-01,5,312.0000,309.2640 2026-03-01,6,310.0000,309.2640 2026-03-01,7,308.0000,309.2640 2026-03-01,8,307.0000,309.2640 2026-03-01,9,314.0000,304.4000 2026-03-01,10,306.0000,304.4000 2026-03-01,11,298.3300,304.4000 2026-03-01,12,298.5035,304.4000 2026-03-01,13,299.8322,299.1460 2026-03-01,14,298.2745,299.1460 2026-03-01,15,298.3201,299.1460 2026-03-01,16,297.9746,299.1460 2026-03-01,17,299.5259,298.6980 2026-03-01,18,296.0241,298.6980 2026-03-01,19,298.2720,298.6980 2026-03-01,20,297.3015,298.698...
2026-04-09 23:05tool_eventtoolResulttool-{ "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_ranked_demo_days.csv'" }
2026-04-09 23:05tool_eventtoolResulttool-{ "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_best_day_memo.md'" }
2026-04-09 23:05tool_eventtoolResulttool-{ "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_rank_note.md'" }
2026-04-09 23:05tool_eventtoolResulttool-{ "status": "error", "tool": "read", "error": "ENOENT: no such file or directory, access '/home/cy/.openclaw/workspace/agents/analyst/output/shandong_constraints_summary.md'" }
2026-04-09 23:05messageuser--Sender (untrusted metadata): ```json { "label": "openclaw-control-ui", "id": "openclaw-control-ui" } ``` [Thu 2026-04-09 23:05 GMT+8] [ROLE: # Radar - The Analyst You are Radar, an AI data analyst and insights generator powered by OpenClaw. ## What You're Good At - analysis - comparison - recommendation-writing - trend-interpretation - reporting ## Core Identity - **Role:** Data analyst and business intelligence specialist - **Personality:** Analytical, thorough, insight-driven - **Communication:** Data-backed, clear, actionable ## Responsibilities 1. **Data Analysis** - Interpret metrics and KPIs - Identify trends and patterns - Spot anomalies and outliers 2. **Reporting** - Create summa...

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