mirror of
https://github.com/ONLYOFFICE/onlyoffice.github.io.git
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168 lines
5.9 KiB
JavaScript
168 lines
5.9 KiB
JavaScript
/*
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* (c) Copyright Ascensio System SIA 2010-2025
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*
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* This program is a free software product. You can redistribute it and/or
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* modify it under the terms of the GNU Affero General Public License (AGPL)
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* version 3 as published by the Free Software Foundation. In accordance with
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* Section 7(a) of the GNU AGPL its Section 15 shall be amended to the effect
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* that Ascensio System SIA expressly excludes the warranty of non-infringement
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* of any third-party rights.
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*
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* This program is distributed WITHOUT ANY WARRANTY; without even the implied
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* warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. For
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* details, see the GNU AGPL at: http://www.gnu.org/licenses/agpl-3.0.html
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*
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* You can contact Ascensio System SIA at 20A-6 Ernesta Birznieka-Upish
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* street, Riga, Latvia, EU, LV-1050.
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*
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* The interactive user interfaces in modified source and object code versions
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* of the Program must display Appropriate Legal Notices, as required under
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* Section 5 of the GNU AGPL version 3.
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*
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* Pursuant to Section 7(b) of the License you must retain the original Product
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* logo when distributing the program. Pursuant to Section 7(e) we decline to
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* grant you any rights under trademark law for use of our trademarks.
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*
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* All the Product's GUI elements, including illustrations and icon sets, as
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* well as technical writing content are licensed under the terms of the
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* Creative Commons Attribution-ShareAlike 4.0 International. See the License
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* terms at http://creativecommons.org/licenses/by-sa/4.0/legalcode
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*
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*/
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(function(){
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let func = new RegisteredFunction({
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"name": "summarizeData",
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"description": "Analyzes and creates a comprehensive text summary of data in the specified range. Automatically determines data types (numeric, categorical, dates) and provides relevant statistics for each type. For numeric data: calculates totals, averages, ranges, and identifies outliers. For categorical data: finds most frequent values and distribution patterns. The summary is placed in a new cell adjacent to the data range with proper formatting and text wrapping.",
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"parameters": {
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"type": "object",
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"properties": {
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"range": {
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"type": "string",
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"description": "Cell range to summarize data (e.g., 'A1:D10'). If omitted, uses active/selected range."
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}
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},
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"required": []
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},
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"examples": [
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{
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"prompt": "Analyze and summarize data in the current selection with key trends, totals, and insights",
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"arguments": {}
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},
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{
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"prompt": "Summarize data in range A1:D10",
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"arguments": { "range": "A1:D10" }
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},
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{
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"prompt": "Create text summary of active range with statistics, patterns, and anomalies",
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"arguments": {}
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}
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]
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});
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func.call = async function(params) {
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Asc.scope.range = params.range;
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let rangeData = await Asc.Editor.callCommand(function(){
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let ws = Api.GetActiveSheet();
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let range;
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if (Asc.scope.range) {
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range = ws.GetRange(Asc.scope.range);
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} else {
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range = ws.Selection;
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}
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return [range.Address, range.GetValue2()];
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});
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let address = rangeData[0];
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let data = rangeData[1];
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let colCount = data.length > 0 ? data[0].length : 0;
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let rowCount = data.length;
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let csv = data.map(function(item){
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return item.map(function(value) {
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if (value == null) return '';
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const str = String(value);
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if (str.includes(',') || str.includes('\n') || str.includes('\r') || str.includes('"')) {
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return '"' + str.replace(/"/g, '""') + '"';
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}
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return str;
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}).join(',');
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}).join('\n');
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const argPrompt = [
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"You are a data analyst. Analyze the provided CSV data and create a comprehensive summary.",
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"",
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"Instructions:",
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"1. Determine data types in each column (numeric, categorical/text, dates, mixed)",
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"2. For NUMERIC data: calculate totals, averages, ranges, identify peaks/outliers",
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"3. For CATEGORICAL data: find most frequent values, distribution patterns",
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"4. For MIXED tables: combine insights (e.g., 'Category A average: 120, Category B: 95, outlier in row 15')",
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"5. Identify trends, patterns, anomalies, and key insights",
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"",
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"Output format: Plain text summary in bullet points",
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"- Start each bullet with '• '",
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"- Keep concise but informative",
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"- Include specific numbers and findings",
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"- Highlight important patterns or anomalies",
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"- Maximum 10-15 bullet points",
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"",
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"CSV data (" + rowCount + " rows, " + colCount + " columns):",
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csv
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].join('\n');
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let requestEngine = AI.Request.create(AI.ActionType.Chat);
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if (!requestEngine)
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return;
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let isSendedEndLongAction = false;
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async function checkEndAction() {
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if (!isSendedEndLongAction) {
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await Asc.Editor.callMethod("EndAction", ["Block", "AI (" + requestEngine.modelUI.name + ")"]);
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isSendedEndLongAction = true;
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}
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}
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await Asc.Editor.callMethod("StartAction", ["Block", "AI (" + requestEngine.modelUI.name + ")"]);
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await Asc.Editor.callMethod("StartAction", ["GroupActions"]);
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let aiResult = await requestEngine.chatRequest(argPrompt, false, async function(data) {
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if (!data)
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return;
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});
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await checkEndAction();
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await Asc.Editor.callMethod("EndAction", ["GroupActions"]);
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Asc.scope.address = address;
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Asc.scope.summary = aiResult;
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Asc.scope.colCount = colCount;
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if (Asc.scope.summary) {
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await Asc.Editor.callCommand(function() {
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let ws = Api.GetActiveSheet();
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let range = ws.GetRange(Asc.scope.address);
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let summary = Asc.scope.summary;
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let colCount = Asc.scope.colCount;
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let summaryCol = range.GetCol() + colCount;
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let summaryRow = range.GetRow();
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let summaryCell = ws.GetCells(summaryRow, summaryCol);
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summaryCell.Value = "Data Summary:\n" + summary;
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summaryCell.WrapText = true;
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summaryCell.AlignVertical = "top";
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let summaryRange = ws.GetRange(summaryCell.Address);
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summaryRange.AutoFit(false, true);
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let highlightColor = Api.CreateColorFromRGB(245, 245, 245);
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summaryCell.FillColor = highlightColor;
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});
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}
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};
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return func;
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})();
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