{
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    "updatedAt": "2026-04-09T14:13:35.084Z"
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  "latestSnippet": "[[reply_to_current]]已按“本地只读分析工具 + 分析表”先做了一轮紧凑扫描。结论先给你： ## 1) 可用于山东现货 / 储能示范筛选的主表与字段 ### A. 主分析表: `market_scenarios` 最适合这次“业务可用结论层”的轻量扫描。 **核心字段** - `scenario_date` - `interval_index`，1..96 - `front_node_price`，可视作放电侧价...",
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  "latestHistoryAt": "2026-04-09T14:13:35.069Z",
  "historyCount": 14,
  "history": [
    {
      "kind": "message",
      "role": "user",
      "content": "Sender (untrusted metadata): ```json { \"label\": \"openclaw-control-ui\", \"id\": \"openclaw-control-ui\" } ``` [Thu 2026-04-09 22:11 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 summary reports - Build comparison analyses - Generate performance reviews 3. **Insights & Recommendations** - Translate data into actionable insights - Provide strategic recommendations - Forecast based on trends ## Analysis Frameworks ### Performance Review ``` 📊 [Metric Name] Analysis Current: [value] Previous: [value] Change: [+/-X%] Trend: [📈 Up / 📉 Down / ➡️ Flat] Key Insight: [One sentence summary] ``` ### Comparison Analysis ``` 📊 [A] vs [B] Comparison | Metric | A | B | Winner | |-------...",
      "timestamp": "2026-04-09T14:11:07.760Z"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "Plan updated.",
      "timestamp": "2026-04-09T14:11:10.877Z",
      "toolName": "tool"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "=== tables === { \"tables\": [ { \"tableName\": \"market_metric_points\", \"displayName\": \"Market Metric Points\", \"tier\": \"analysis_first\", \"purpose\": \"High-granularity metric time series by metric, date, interval, and source stage.\", \"primaryTimeColumn\": \"scenario_date\", \"defaultSortColumn\": \"scenario_date\", \"defaultSortDirection\": \"desc\", \"trustedJoins\": [ \"metric_stage_rules.metric_name = market_metric_points.metric_name\", \"metric_catalog.metric_name = market_metric_points.metric_name\" ], \"warnings\": [ \"Multiple source_stage values may exist for the same metric/date/interval.\", \"node_name and region_name are optional and should not be assumed present.\" ], \"saferForAnalysis\": true, \"columns\": [ { \"name\": \"id\", \"type\": \"bigint\", \"description\": \"Primary row identifier.\", \"nullable\": false, \"important\": false }, { \"name\": \"metric_group\", \"type\": \"text\", \"description\": \"Metric family or grouping.\", \"nullable\": false, \"important\": true }, { \"name\": \"metric_name\", \"type\": \"text\", \"description\": \"Metric name used in UI and rules.\", \"nullable\": false, \"important\": true }, { \"name\": \"scenario_date\", \"type\": \"date\", \"description\": \"Business date for the metric point.\", \"nullable\": false, \"impo...",
      "timestamp": "2026-04-09T14:11:15.182Z",
      "toolName": "tool"
    },
    {
      "kind": "message",
      "role": "assistant",
      "content": "先做轻量扫描，确认山东相关口径和这段时间的数据形态。",
      "timestamp": "2026-04-09T14:11:27.683Z"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "/bin/bash: line 1: python: command not found Command not found",
      "timestamp": "2026-04-09T14:11:27.705Z",
      "toolName": "tool"
    },
    {
      "kind": "message",
      "role": "assistant",
      "content": "本机没有 `python`，我改用 `python3` 继续。",
      "timestamp": "2026-04-09T14:11:34.546Z"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "=== price_preview === { \"lane\": { \"laneId\": \"cy_ops\", \"laneLabel\": \"cy_ops\", \"previewAccess\": \"Read-first preview / inspection / analysis\", \"writeAccess\": \"Broad data-plane write path exists separately in cy ops wrappers\", \"dangerousOps\": \"Restore / PITR / schema-admin remain outside the default cy runtime\", \"projectRef\": \"hsbxkggbducdasbcpnrw\" }, \"table\": { \"tableName\": \"market_price_points\", \"displayName\": \"Market Price Points\", \"tier\": \"analysis_first\", \"purpose\": \"Price time series split by price_type, metric_name, date, interval, and source stage.\", \"primaryTimeColumn\": \"scenario_date\", \"defaultSortColumn\": \"scenario_date\", \"defaultSortDirection\": \"desc\", \"trustedJoins\": [ \"metric_catalog.metric_name = market_price_points.metric_name\" ], \"warnings\": [ \"price_type and metric_name together define meaning; do not aggregate blindly across both.\", \"source_file and source_column are provenance hints, not guaranteed business dimensions.\" ], \"saferForAnalysis\": true, \"columns\": [ { \"name\": \"id\", \"type\": \"bigint\", \"description\": \"Primary row identifier.\", \"nullable\": false, \"important\": false }, { \"name\": \"metric_name\", \"type\": \"text\", \"description\": \"Metric name attached to this pr...",
      "timestamp": "2026-04-09T14:11:36.386Z",
      "toolName": "tool"
    },
    {
      "kind": "message",
      "role": "assistant",
      "content": "已经定位到可直接用的主表，接下来按 3 月上半月做日级紧凑统计。",
      "timestamp": "2026-04-09T14:12:22.829Z"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "{ \"table_field_scan\": { \"primary_analysis_table\": \"market_scenarios\", \"primary_fields\": [ \"scenario_date\", \"interval_index\", \"front_node_price\", \"user_settlement_price\", \"actual_load\", \"actual_award_signal\", \"remark\" ], \"supporting_price_table_dims\": { \"price_types\": [ \"实时电价\", \"日前电价\" ], \"metric_names\": [ \"统一结算价\" ], \"source_stages\": [ \"实际\" ], \"regions\": [ \"山东\" ], \"nodes\": [ \"全省\" ] }, \"supporting_metric_table_dims\": { \"metric_groups\": [ \"出力\" ], \"metric_names\": [ \"光伏出力\", \"新能源出力\", \"风电出力\" ], \"source_stages\": [ \"出清前上午\", \"周前\" ], \"regions\": [ \"山东\" ], \"nodes\": [ \"全省\" ] }, \"asset_config_rows\": [ { \"asset_code\": \"BESS_DEMO_001\", \"asset_name\": \"独立储能站示范1号\", \"region_name\": \"山东\", \"rated_power_mw\": 95, \"rated_capacity_mwh\": 200, \"soc_min\": 10, \"soc_max\": 90, \"charging_efficiency\": 0.95, \"discharging_efficiency\": 0.94, \"min_continuous_charge_intervals\": 2, \"min_continuous_discharge_intervals\": 2, \"throughput_cost_per_mwh\": 0, \"other_daily_cost\": 0, \"enabled\": true } ] }, \"daily_scan\": [ { \"date\": \"2026-03-14\", \"intervals\": 4, \"completeness_pct\": 4.2, \"spread_mean\": -0.09, \"spread_min\": -8.72, \"spread_max\": 14.68, \"spread_p10\": null, \"spread_p90\": null, \"positive_spread_density_pct\": 25.0, \"charg...",
      "timestamp": "2026-04-09T14:12:24.443Z",
      "toolName": "tool"
    },
    {
      "kind": "message",
      "role": "assistant",
      "content": "切片结果只返回到了 3 月 14,15 两天，说明默认切片方式可能没覆盖完整窗口。我直接按分页遍历全表，把 3 月 1 至 15 全部捞出来。",
      "timestamp": "2026-04-09T14:12:45.451Z"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "{ \"days\": 2, \"daily_scan\": [ { \"date\": \"2026-03-14\", \"intervals\": 4, \"completeness_pct\": 4.2, \"spread_mean\": -0.09, \"spread_min\": -8.72, \"spread_max\": 14.68, \"positive_spread_density_pct\": 25.0, \"charge_window_runs\": 1, \"charge_window_intervals\": 4, \"charge_window_avg_len\": 4, \"discharge_window_runs\": 1, \"discharge_window_intervals\": 1, \"discharge_window_avg_len\": 1, \"curve_smooth_index\": 0.2041, \"null_load_intervals\": 0, \"null_award_intervals\": 4, \"anomaly_flags\": [ \"interval_missing\" ] }, { \"date\": \"2026-03-15\", \"intervals\": 96, \"completeness_pct\": 100.0, \"spread_mean\": -9.07, \"spread_min\": -219.86, \"spread_max\": 234.14, \"positive_spread_density_pct\": 36.5, \"charge_window_runs\": 3, \"charge_window_intervals\": 16, \"charge_window_avg_len\": 5.33, \"discharge_window_runs\": 5, \"discharge_window_intervals\": 19, \"discharge_window_avg_len\": 3.8, \"curve_smooth_index\": 0.0595, \"null_load_intervals\": 0, \"null_award_intervals\": 96, \"anomaly_flags\": [ \"deep_negative_spread\", \"high_positive_spread\", \"price_jump_high\" ] } ] }",
      "timestamp": "2026-04-09T14:12:45.913Z",
      "toolName": "tool"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "=== scenarios rows 2026-03-01..2026-03-15 === { \"lane\": { \"laneId\": \"cy_ops\", \"laneLabel\": \"cy_ops\", \"previewAccess\": \"Read-first preview / inspection / analysis\", \"writeAccess\": \"Broad data-plane write path exists separately in cy ops wrappers\", \"dangerousOps\": \"Restore / PITR / schema-admin remain outside the default cy runtime\", \"projectRef\": \"hsbxkggbducdasbcpnrw\" }, \"table\": \"market_scenarios\", \"query\": { \"limit\": 20, \"offset\": 0, \"sortBy\": \"scenario_date\", \"sortDirection\": \"desc\" }, \"rowCount\": 1439, \"rows\": [ { \"id\": 3219, \"scenario_date\": \"2026-03-15\", \"interval_index\": 1, \"front_node_price\": 440, \"user_settlement_price\": 432.78, \"actual_load\": 64283.37, \"actual_award_signal\": null, \"remark\": \"2026-03-01至2026-03-20真实导入（价格优先重建场景）\", \"created_at\": \"2026-03-19T18:00:37.682037+00:00\" }, { \"id\": 3220, \"scenario_date\": \"2026-03-15\", \"interval_index\": 2, \"front_node_price\": 432.95, \"user_settlement_price\": 432.78, \"actual_load\": 63793.92, \"actual_award_signal\": null, \"remark\": \"2026-03-01至2026-03-20真实导入（价格优先重建场景）\", \"created_at\": \"2026-03-19T18:00:37.682037+00:00\" }, { \"id\": 3221, \"scenario_date\": \"2026-03-15\", \"interval_index\": 3, \"front_node_price\": 430, \"user_settlement_price\"...",
      "timestamp": "2026-04-09T14:12:51.906Z",
      "toolName": "tool"
    },
    {
      "kind": "tool_event",
      "role": "toolResult",
      "content": "Plan updated.",
      "timestamp": "2026-04-09T14:12:56.339Z",
      "toolName": "tool"
    },
    {
      "kind": "message",
      "role": "assistant",
      "content": "[[reply_to_current]]已按“本地只读分析工具 + 分析表”先做了一轮紧凑扫描。结论先给你： ## 1) 可用于山东现货 / 储能示范筛选的主表与字段 ### A. 主分析表: `market_scenarios` 最适合这次“业务可用结论层”的轻量扫描。 **核心字段** - `scenario_date` - `interval_index`，1..96 - `front_node_price`，可视作放电侧价 - `user_settlement_price`，可视作充电侧价 - `actual_load` - `actual_award_signal` - `remark` **用途** - 直接算每日日内价差 - 识别低价充电 / 高价放电窗口 - 看曲线是否平滑、是否存在跳点 - 做完整性检查 ### B. 辅助价格表: `market_price_points` 用于统一口径和维度确认。 **本次窗口识别到的维度** - `price_type`: `日前电价` / `实时电价` - `metric_name`: `统一结算价` - `source_stage`: `实际` - `region_name`: `山东` - `node_name`: `全省` **意义** - 可以确认山东、全省、统一结算价口径存在 - 但本轮为了避免混用口径，主扫描仍以 `market_scenarios` 为准 ### C. 辅助指标表: `market_metric_points` 用于曲线解释性辅助，不做重建模。 **本次识别到** - `metric_group`: `出力` - `metric_name`: `风电出力` / `光伏出力` / `新能源出力` - `source_stage`: `周前` / `出清前上午` - `region_name`: `山东` - `node_name`: `全省` **意义** - 后续可用来解释价格曲线是否与新能源出力变化一致 - 这轮只确认可用，不做深入联动分析 ### D. 资产配置表: `storage_asset_config` 本次发现 1 条山东示范资产配置。 **示范资产** - `asset_code`: `BESS_DEMO_001` - `asset_name`: `独立储能站示范1号` - `region_name`: `山东` - `rated_power_mw`: `95` - `rated_capacity_mwh`: `200` - `charging_efficiency`: `0.95` - `discharging_efficiency`: `0.94` - `min_continuous_charge_intervals`: `2` - `min_c...",
      "timestamp": "2026-04-09T14:13:35.069Z"
    }
  ]
}