diff --git a/src/views/product/market-opportunity-selection.vue b/src/views/product/market-opportunity-selection.vue
index 6d5a386..08c3e07 100644
--- a/src/views/product/market-opportunity-selection.vue
+++ b/src/views/product/market-opportunity-selection.vue
@@ -138,7 +138,9 @@ async function saveAndGoToStepSix() { if (saving.value || !stepFourPassed.value)
 async function saveAndCompleteTraining() { if (saving.value || !stepFivePassed.value) return; saving.value = true; try { await checkMarketOpportunitySelectionStepSix({ developmentConclusion: developmentConclusion.value }); dynamicStepAnswers.value = buildDynamicStepAnswers({ step5: buildStepFiveOutcome(), step6: buildStepSixOutcome() }); await saveStudentTrainingAnswer(TASK_KEY, { dynamicStepAnswers: JSON.stringify(dynamicStepAnswers.value), currentStep: 6, submitted: true, saveAction: "SUBMIT" }); proxy?.$modal?.msgSuccess("实训成果已保存，恭喜完成本次实训"); } catch (error) { proxy?.$modal?.msgError?.(error?.message || "请填写建议开发的产品及具体原因"); } finally { saving.value = false; } }
 function downloadFile(content, fileName, type) { const blob = new Blob([content], { type }); const url = URL.createObjectURL(blob); const link = document.createElement("a"); link.href = url; link.download = fileName; link.click(); URL.revokeObjectURL(url); }
 function downloadInstructions() { downloadBuiltInFile(SCORE_CALCULATION_GUIDE_URL, "6.综合得分计算操作说明.docx"); }
+/* 已由后端内置 Excel 模板替代，保留代码仅供后续迁移参考。
 function downloadTemplate() { const firstProductRow = 5; const lastProductRow = firstProductRow + products.length - 1; const rawStartColumn = 1; const normalizedStartColumn = rawStartColumn + indicators.length; const totalColumn = normalizedStartColumn + indicators.length; const negativeMetricIds = new Set(["online-products", "online-merchants", "return-rate"]); const rows = [["市场机会识别与选品 · Min-Max 加权评分自动化模板"], ["填写原始指标值后，归一得分、对应总权重和综合得分会自动计算。"], [], ["产品品类", ...indicators.map((item) => `${item.name} 原始值`), ...indicators.map((item) => `${item.name} 归一得分`), "综合得分"], ...products.map((product) => [product.name, ...indicators.map(() => ""), ...indicators.map(() => ""), ""]), [], ["权重设置（来自第 2 步）"], ["一级指标权重(%)", ...indicators.map((item) => primaryWeights.value[item.group] ?? ""), ...indicators.map(() => ""), ""], ["维度内权重(%)", ...indicators.map((item) => weights.value[item.id] ?? ""), ...indicators.map(() => ""), ""], ["对应总权重(%)", ...indicators.map(() => ""), ...indicators.map(() => ""), ""]]; const worksheet = XLSX.utils.aoa_to_sheet(rows); indicators.forEach((item, index) => { const rawColumn = XLSX.utils.encode_col(rawStartColumn + index); const normalizedColumn = XLSX.utils.encode_col(normalizedStartColumn + index); const primaryWeightCell = XLSX.utils.encode_cell({ c: rawStartColumn + index, r: 9 }); const dimensionWeightCell = XLSX.utils.encode_cell({ c: rawStartColumn + index, r: 10 }); const correspondingWeightCell = XLSX.utils.encode_cell({ c: rawStartColumn + index, r: 11 }); worksheet[correspondingWeightCell] = { t: "n", f: `${primaryWeightCell}*${dimensionWeightCell}/100` }; products.forEach((product, productIndex) => { const row = firstProductRow + productIndex; const rawCell = `${rawColumn}${row}`; const range = `${rawColumn}$${firstProductRow}:${rawColumn}$${lastProductRow}`; const normalizedCell = `${normalizedColumn}${row}`; worksheet[normalizedCell] = { t: "n", f: negativeMetricIds.has(item.id) ? `IFERROR((MAX(${range})-${rawCell})/(MAX(${range})-MIN(${range})),0)` : `IFERROR((${rawCell}-MIN(${range}))/(MAX(${range})-MIN(${range})),0)` }; }); }); products.forEach((product, productIndex) => { const row = firstProductRow + productIndex; const scoreCell = `${XLSX.utils.encode_col(totalColumn)}${row}`; const normalizedStart = XLSX.utils.encode_col(normalizedStartColumn); const normalizedEnd = XLSX.utils.encode_col(normalizedStartColumn + indicators.length - 1); const correspondingStart = XLSX.utils.encode_col(rawStartColumn); const correspondingEnd = XLSX.utils.encode_col(rawStartColumn + indicators.length - 1); worksheet[scoreCell] = { t: "n", f: `SUMPRODUCT(${normalizedStart}${row}:${normalizedEnd}${row},$${correspondingStart}$12:$${correspondingEnd}$12)/100` }; }); worksheet["!cols"] = [{ wch: 18 }, ...indicators.map(() => ({ wch: 18 })), ...indicators.map(() => ({ wch: 18 })), { wch: 14 }]; const workbook = XLSX.utils.book_new(); XLSX.utils.book_append_sheet(workbook, worksheet, "综合得分计算"); XLSX.writeFile(workbook, "市场机会识别与选品-自动化模板.xlsx"); }
+*/
 function downloadTemplate() { downloadBuiltInFile(SCORE_CALCULATION_TEMPLATE_URL, "6.数据表-抖音电商 - 计算模版.xlsx"); }
 function downloadBuiltInFile(url, fileName) { const link = document.createElement("a"); link.href = url; link.download = fileName; document.body.appendChild(link); link.click(); document.body.removeChild(link); }
 function downloadVisualizationInstructions() { downloadFile("市场机会识别与选品 - 数据可视化操作说明\n\n1. 按智能健身镜、智能卫浴镜和智能美妆镜分别填写每日综合得分。\n2. 使用自动化模板计算各品类的日平均得分、最高分和最低分。\n3. 使用柱状图、折线图或组合图完成可视化，并清晰标注品类和得分。\n4. 导出图表为 PNG、JPG 或 WEBP 格式后上传，并点击缩略图预览确认。", "市场机会识别与选品-实训操作说明.txt", "text/plain;charset=utf-8"); }