import PizZip from 'pizzip' import Docxtemplater from 'docxtemplater' import { saveAs } from 'file-saver' import { formatNumberValue, formatThreeYearIncome, formatAgeDistribution, formatHistoricalEvidence, formatPlatformAccounts, formatPriceRange } from '@/views/valuation/audit/utils' export const generateReport = async (detailData) => { try { // Validate input if (!detailData || typeof detailData !== 'object') { throw new Error('无效的详情数据') } // Load the template const response = await fetch('/report_template.docx') if (!response.ok) { throw new Error('Failed to load report template') } const content = await response.arrayBuffer() const zip = new PizZip(content) const doc = new Docxtemplater(zip, { paragraphLoop: true, linebreaks: true, delimiters: { start: '${', end: '}' }, // 当字段不存在时,保持原始的 ${字段名} 格式,不替换 nullGetter: (part) => { if (!part.module) { return '${' + part.value + '}' } return '' }, }) // Helper function to safely add field only if it exists const addIfExists = (obj, key, value) => { if (value !== undefined && value !== null) { obj[key] = value } } // Extract calculation data const calcInput = detailData.calculation_input || {} const calcResult = detailData.calculation_result || {} const modelData = calcInput.model_data || {} const ecoData = modelData.economic_data || {} const cultData = modelData.cultural_data || {} const riskData = modelData.risky_data || {} const marketData = calcInput.market_data || {} // Prepare data - only include fields that actually exist const data = { // Spread all existing detailData fields ...detailData, // Date fields (always generated) yyyy: new Date().getFullYear(), mm: String(new Date().getMonth() + 1).padStart(2, '0'), dd: String(new Date().getDate()).padStart(2, '0'), yyyymmdd: `${new Date().getFullYear()}${String(new Date().getMonth() + 1).padStart(2, '0')}${String(new Date().getDate()).padStart(2, '0')}`, } // Handle inheritor_age_count array - format each item if (detailData.inheritor_age_count && Array.isArray(detailData.inheritor_age_count)) { const ageData = formatAgeDistribution(detailData.inheritor_age_count) // 提供格式化后的完整文本 data.inheritor_age_count_text = ageData.join('\n') // 提供单独的数值,支持 ${inheritor_age_count[0]} 这样的用法 if (detailData.inheritor_age_count[0] !== undefined) { data['inheritor_age_count[0]'] = detailData.inheritor_age_count[0] } if (detailData.inheritor_age_count[1] !== undefined) { data['inheritor_age_count[1]'] = detailData.inheritor_age_count[1] } if (detailData.inheritor_age_count[2] !== undefined) { data['inheritor_age_count[2]'] = detailData.inheritor_age_count[2] } } // Handle historical_evidence object - format as text if (detailData.historical_evidence && typeof detailData.historical_evidence === 'object') { const evidenceData = formatHistoricalEvidence(detailData.historical_evidence) // 提供格式化后的完整文本(换行分隔) data.historical_evidence = evidenceData.join('\n') } // Handle platform_accounts object - format as text if (detailData.platform_accounts && typeof detailData.platform_accounts === 'object') { const accountsData = formatPlatformAccounts(detailData.platform_accounts) // 提供格式化后的完整文本(换行分隔) data.platform_accounts = accountsData.join('\n') } // Handle price_fluctuation array if (detailData.price_fluctuation && Array.isArray(detailData.price_fluctuation)) { const min = detailData.price_fluctuation[0] const max = detailData.price_fluctuation[1] // 提供单独的数值,支持 ${price_fluctuation[0]} 这样的用法 if (min !== undefined) { data['price_fluctuation[0]'] = min data.price_min = min } if (max !== undefined) { data['price_fluctuation[1]'] = max data.price_max = max } // 提供多种格式的范围文本 if (min !== undefined && max !== undefined) { // 简单范围(数字-数字) data.price_range = `${min}-${max}` // 带"元"的范围 data.price_range_yuan = `${min}-${max}元` // 带货币符号的范围 data.price_fluctuation_range = formatPriceRange(detailData.price_fluctuation) // 精确匹配模板中的字段名(作为一个整体的字段名) data['price_fluctuation[0]-price_fluctuation[1]'] = `${min}-${max}` } } // Add calculation results if they exist if (calcResult.model_value_b !== undefined) data.B = formatNumberValue(calcResult.model_value_b) if (calcResult.economic_value_b1 !== undefined) data.B1 = formatNumberValue(calcResult.economic_value_b1) if (calcResult.cultural_value_b2 !== undefined) data.B2 = formatNumberValue(calcResult.cultural_value_b2) if (calcResult.risk_adjustment_b3 !== undefined) data.B3 = calcResult.risk_adjustment_b3 if (calcResult.market_value_c !== undefined) data.C = formatNumberValue(calcResult.market_value_c) // Add DPR if exists const dpr = detailData.drp_result?.dynamic_pledge_rate || detailData.dynamic_pledge_rate if (dpr !== undefined) data.DPR = dpr // Add economic data fields if they exist if (ecoData.basic_value_b11 !== undefined) data.B11 = formatNumberValue(ecoData.basic_value_b11) if (ecoData.financial_value !== undefined) data.F = formatNumberValue(ecoData.financial_value) if (ecoData.legal_strength !== undefined) data.L = ecoData.legal_strength if (ecoData.development_potential !== undefined) data.D = ecoData.development_potential if (ecoData.traffic_factor_b12 !== undefined) data.B12 = ecoData.traffic_factor_b12 if (ecoData.search_index_s1 !== undefined) data.search_index_ratio = ecoData.search_index_s1 if (ecoData.social_media_spread_s3 !== undefined) data.S3 = ecoData.social_media_spread_s3 if (ecoData.policy_multiplier_b13 !== undefined) data.B13 = ecoData.policy_multiplier_b13 if (ecoData.policy_compatibility_score !== undefined) data.policy_fit_score = ecoData.policy_compatibility_score // Add cultural data fields if they exist if (cultData.living_inheritance_b21 !== undefined) data.B21 = cultData.living_inheritance_b21 if (cultData.inheritor_level_coefficient !== undefined) data.inheritor_level_score = cultData.inheritor_level_coefficient if (cultData.teaching_frequency !== undefined) data.teaching_frequency_score = cultData.teaching_frequency if (cultData.cross_border_depth !== undefined) data.cooperation_depth_score = cultData.cross_border_depth if (cultData.pattern_entropy_b22 !== undefined) data.B22 = cultData.pattern_entropy_b22 if (cultData.structure_complexity !== undefined) data.SC = cultData.structure_complexity if (cultData.normalized_entropy !== undefined) data.H = cultData.normalized_entropy if (cultData.historical_inheritance !== undefined) data.HI = cultData.historical_inheritance // Add risk data fields if they exist if (riskData.risk_market !== undefined) data.risk_market = riskData.risk_market if (riskData.risk_legal !== undefined) data.risk_legal = riskData.risk_legal if (riskData.risk_inheritance !== undefined) data.risk_inheritance = riskData.risk_inheritance // Add market data fields if they exist if (marketData.market_bidding_c1 !== undefined) data.C1 = formatNumberValue(marketData.market_bidding_c1) if (marketData.heat_coefficient_c2 !== undefined) data.C2 = marketData.heat_coefficient_c2 if (marketData.scarcity_multiplier_c3 !== undefined) data.C3 = marketData.scarcity_multiplier_c3 if (marketData.time_decay_c4 !== undefined) data.C4 = marketData.time_decay_c4 doc.render(data) const out = doc.getZip().generate({ type: 'blob', mimeType: 'application/vnd.openxmlformats-officedocument.wordprocessingml.document', }) saveAs(out, `${detailData.asset_name || '评估报告'}.docx`) } catch (error) { console.error('Report generation failed:', error) throw error } }