feat(asset-ai): add contextual analysis and unmet-demand feedback
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shishengliang
@@ -0,0 +1,215 @@
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import type {
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QueryPlan,
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AssistantAction,
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Dimension,
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AssistantResult,
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} from "../../../shared/assets/assistant.js";
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import { DIMENSIONS } from "../../../shared/assets/assistant.js";
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import type { Vehicle } from "../../types.js";
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import { vehicleRepository } from "../vehicles/repository.js";
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import { listDateRange } from "../vehicles/utils.js";
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import { assetResult, filterVehicles, toRow, validatePlan } from "./model.js";
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export async function execute(
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vehicles: Vehicle[],
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plan: QueryPlan,
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): Promise<AssistantResult> {
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let result = assetResult(vehicles, plan);
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if (plan.kind === "flow") {
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const selected = filterVehicles(vehicles, plan);
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const byId = new Map(selected.map((v) => [String(v.id), v]));
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const events = (
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await vehicleRepository.getFlowDetailRows(plan.start!, plan.end!)
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).filter((e) => byId.has(String(e.truck_id)));
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const daily = listDateRange(plan.start!, plan.end!).map((date) => ({
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date,
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delivered: 0,
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returned: 0,
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replaced: 0,
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total: 0,
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}));
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const byDate = new Map(daily.map((d) => [d.date, d]));
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for (const e of events) {
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const d = byDate.get(e.stat_date);
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if (!d) continue;
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d[e.type]++;
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if (e.type === "replaced") d.delivered++;
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d.total++;
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}
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result = {
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...result,
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title: "交退换车趋势",
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source: "运维签章时间 · 业务车次 · 替换交车已计入交车",
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daily,
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rows: events.map((e) => ({
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...toRow(byId.get(String(e.truck_id))!),
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id: String(e.id),
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date: e.stat_date,
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event: e.type_label,
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})),
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groups: daily.map((d) => ({
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name: d.date,
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count: d.total,
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operating: 0,
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rate: 0,
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})),
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metrics: [
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{
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label: "交车（含替换）",
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value: daily.reduce((n, d) => n + d.delivered, 0),
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unit: "车次",
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},
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{
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label: "还车",
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value: daily.reduce((n, d) => n + d.returned, 0),
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unit: "车次",
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},
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{
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label: "其中替换交车",
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value: daily.reduce((n, d) => n + d.replaced, 0),
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unit: "车次",
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},
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],
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summary: `${plan.start} 至 ${plan.end} 共 ${events.length} 笔流转业务；交车已包含替换交车，不能将两者相加。`,
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};
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}
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if (plan.kind === "flow") {
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result.insights = [
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"交车包含替换交车，不能将二者相加。流转范围按当前账号可见车辆筛选。",
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];
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result.exceptions = [];
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}
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if (plan.kind === "flow" && plan.comparePrevious) {
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const span = Date.parse(plan.end!) - Date.parse(plan.start!) + 86400000;
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const start = new Date(Date.parse(plan.start!) - span)
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.toISOString()
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.slice(0, 10);
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const end = new Date(Date.parse(plan.start!) - 86400000)
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.toISOString()
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.slice(0, 10);
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const previous = await execute(vehicles, {
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...plan,
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start,
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end,
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comparePrevious: false,
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});
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result.comparisonPeriod = { start, end };
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result.comparison = result.metrics.map((m, i) => ({
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label: m.label,
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current: m.value,
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previous: previous.metrics[i].value,
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delta: m.value - previous.metrics[i].value,
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rate: previous.metrics[i].value
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? Math.round(
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((m.value - previous.metrics[i].value) /
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previous.metrics[i].value) *
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1000,
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) / 10
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: null,
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}));
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result.insights!.push(
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`对比上一等长周期 ${start} 至 ${end}；基期为0时不计算增长率。`,
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);
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}
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return result;
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}
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export function applyAction(
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plan: QueryPlan,
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action: AssistantAction,
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result: AssistantResult,
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): QueryPlan {
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const next = structuredClone(plan);
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switch (action.type) {
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case "clear-filter":
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if (!DIMENSIONS.includes(action.dimension))
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throw new Error("筛选维度无效。");
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delete next.filters[action.dimension];
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if (next.excludeFilters) delete next.excludeFilters[action.dimension];
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break;
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case "reset-filters":
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next.filters = {};
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delete next.excludeFilters;
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delete next.vehicleIds;
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delete next.exception;
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delete next.topN;
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break;
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case "sort":
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next.sortBy = action.sortBy;
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next.sortOrder = action.sortOrder;
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next.topN = action.topN;
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break;
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case "restore":
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break;
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case "exception":
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next.kind = "assets";
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next.category = "abnormal";
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next.exception = action.exception;
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next.view = "list";
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delete next.start;
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delete next.end;
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delete next.comparePrevious;
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break;
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case "view":
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next.view = action.view;
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break;
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case "category":
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next.kind = "assets";
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next.category = action.category;
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delete next.start;
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delete next.end;
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delete next.comparePrevious;
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delete next.exception;
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break;
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case "analysis":
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next.analysis = action.analysis;
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break;
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case "group":
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if (next.kind === "flow")
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throw new Error("交退换趋势暂按日统计，不能切换车辆分组。");
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next.groupBy = action.groupBy;
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next.secondaryGroupBy = action.secondaryGroupBy;
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break;
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case "compare-period":
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if (next.kind !== "flow")
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throw new Error("当前库存没有历史快照，不能进行跨期比较。");
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next.comparePrevious = true;
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break;
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case "day":
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if (
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next.kind !== "flow" ||
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!result.daily?.some((d) => d.date === action.date)
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)
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throw new Error("日期不在当前结果内。");
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next.start = action.date;
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next.end = action.date;
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next.view = "list";
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next.comparePrevious = false;
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break;
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case "drill": {
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if (
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next.kind === "flow" ||
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!action.keys ||
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typeof action.keys !== "object" ||
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Array.isArray(action.keys)
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)
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throw new Error("下钻条件无效。");
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const entries = Object.entries(action.keys);
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const group = result.groups.find(
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(g) =>
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entries.length > 0 &&
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Object.keys(g.keys || {}).length === entries.length &&
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entries.every(([k, v]) => g.keys?.[k as Dimension] === v),
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);
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if (!group) throw new Error("分组已变化，请刷新后重试。");
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for (const [k, v] of entries) next.filters[k as Dimension] = [v];
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next.groupBy = DIMENSIONS.find((d) => !next.filters[d]) || "none";
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delete next.secondaryGroupBy;
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delete next.topN;
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next.view = next.groupBy === "none" ? "list" : "chart";
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break;
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}
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default:
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throw new Error("分析操作不受支持。");
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}
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return validatePlan(next);
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}
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