chore: snapshot production code before Apple Design UI refinement
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@@ -0,0 +1,27 @@
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import fs from "node:fs/promises";
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import path from "node:path";
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import { FileBlob, SpreadsheetFile } from "@oai/artifact-tool";
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const workbookPath = "/Users/lingniu/project/ai-coding/lingniu-vehicle-ingest/outputs/019fe9b9-eb60-7d22-8c0a-c70851a48083/15辆车里程核验申诉材料_GB32960日里程及原始报文.xlsx";
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const outputDir = "/Users/lingniu/project/ai-coding/lingniu-vehicle-ingest/outputs/019fe9b9-eb60-7d22-8c0a-c70851a48083/final-qa";
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await fs.mkdir(outputDir, { recursive: true });
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const workbook = await SpreadsheetFile.importXlsx(await FileBlob.load(workbookPath));
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const sheets = await workbook.inspect({ kind: "sheet", include: "id,name", maxChars: 8000 });
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const summary = await workbook.inspect({ kind: "table", range: "申诉总览!A1:P20", include: "values,formulas", tableMaxRows: 22, tableMaxCols: 16, maxChars: 18000 });
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const vehicleTop = await workbook.inspect({ kind: "table", range: "02-粤A05839F!A4:P14", include: "values,formulas", tableMaxRows: 14, tableMaxCols: 16, maxChars: 12000 });
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const errors = await workbook.inspect({ kind: "match", searchTerm: "#REF!|#DIV/0!|#VALUE!|#NAME\\?|#N/A", options: { useRegex: true, maxResults: 300 }, summary: "reimported final formula error scan" });
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await fs.writeFile(path.join(outputDir, "final-inspect.ndjson"), `${sheets.ndjson}\n${summary.ndjson}\n${vehicleTop.ndjson}\n${errors.ndjson}\n`, "utf8");
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const vehicleSheetNames = [
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"01-粤A05995F", "02-粤A05839F", "03-粤A09369F", "04-粤A06658F", "05-粤A05700F",
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"06-粤A05906F", "07-粤AGP9346", "08-粤AGP2017", "09-粤AGP5165", "10-粤AGP4355",
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"11-粤AGP5646", "12-粤AGP3692", "13-粤AGP9782", "14-粤AGP3027", "15-粤AGP9751",
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];
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for (let index = 0; index < vehicleSheetNames.length; index += 1) {
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const sheetName = vehicleSheetNames[index];
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const preview = await workbook.render({ sheetName, range: "A232:P259", scale: 1, format: "png" });
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await fs.writeFile(path.join(outputDir, `${String(index + 1).padStart(2, "0")}-${sheetName}.png`), new Uint8Array(await preview.arrayBuffer()));
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}
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console.log(JSON.stringify({ workbookPath, outputDir, sheetCount: 17, formulaErrorScan: errors.ndjson }, null, 2));
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