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@visactor/vmind

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import { AtomName } from "../../types/atom"; import { BaseAtom } from "../base"; import { merge } from "@visactor/vutils"; import { extractDataFromContext } from "./dataProcess"; import { AlgorithmType } from "./type"; import { getInsights } from "./algorithms"; import { getPolishPrompt } from "./prompt"; import { addPlainText } from "./algorithms/template"; import { Factory } from "../../core/factory"; export class DataInsightAtom extends BaseAtom { constructor(context, option) { super(context, option), this.name = AtomName.DATA_INSIGHT, this.isLLMAtom = !0; } buildDefaultContext(context) { return merge({}, { spec: {}, insights: [] }, context); } buildDefaultOptions() { return Object.assign(Object.assign({}, super.buildDefaultOptions()), { algorithms: [ AlgorithmType.OverallTrending, AlgorithmType.AbnormalTrend, AlgorithmType.PearsonCorrelation, AlgorithmType.SpearmanCorrelation, AlgorithmType.StatisticsAbnormal, AlgorithmType.LOFOutlier, AlgorithmType.DbscanOutlier, AlgorithmType.MajorityValue, AlgorithmType.PageHinkley, AlgorithmType.TurningPoint, AlgorithmType.StatisticsBase, AlgorithmType.Volatility ], isLimitedbyChartType: !0, language: "chinese", usePolish: !0 }); } shouldRunByContextUpdate(context) { return !0; } getLLMMessages(query) { var _a; const {insights: insights} = this.context, language = null === (_a = this.options) || void 0 === _a ? void 0 : _a.language, addtionContent = this.getHistoryLLMMessages(query); return [ { role: "system", content: getPolishPrompt(language) }, { role: "user", content: JSON.stringify({ insights: insights.map((insight => { var _a, _b; return { type: insight.type, content: null === (_a = insight.textContent) || void 0 === _a ? void 0 : _a.content, variables: (null === (_b = insight.textContent) || void 0 === _b ? void 0 : _b.variables) ? Object.keys(insight.textContent.variables).reduce(((acc, key) => { var _a; return Object.assign(Object.assign({}, acc), { [key]: Object.assign(Object.assign({}, null === (_a = insight.textContent) || void 0 === _a ? void 0 : _a.variables[key]), { value: null, formatValue: null }) }); }), {}) : {} }; })) }) }, ...addtionContent ]; } parseLLMContent(resJson) { const {results: results} = resJson; if (!results) return console.error("Insights polish error in LLM"), Object.assign(Object.assign({}, this.context), { error: "Insights polish error in LLM" }); const newInsights = this.context.insights.map(((insight, index) => { var _a, _b; return Object.assign(Object.assign({}, insight), { textContent: addPlainText({ content: results[index] || (null === (_a = insight.textContent) || void 0 === _a ? void 0 : _a.content), variables: null === (_b = insight.textContent) || void 0 === _b ? void 0 : _b.variables }) }); })); return Object.assign(Object.assign({}, this.context), { insights: newInsights }); } runBeforeLLM() { var _a; this.isLLMAtom = !1 !== (null === (_a = this.options) || void 0 === _a ? void 0 : _a.usePolish); const dataInfo = extractDataFromContext(this.context), insights = getInsights(Object.assign(Object.assign({}, dataInfo), { spec: this.context.spec }), this.options), newContext = Object.assign(Object.assign({}, this.context), { chartType: dataInfo.chartType, fieldInfo: dataInfo.fieldInfo, insights: insights }); return this.updateContext(newContext), 0 === insights.length && (this.isLLMAtom = !1), this.context; } } export const registerDataInsightAtom = () => { Factory.registerAtom(AtomName.DATA_INSIGHT, DataInsightAtom); }; //# sourceMappingURL=index.js.map