diff --git a/web/package.json b/web/package.json
index 78a8bb4..21ab0fa 100644
--- a/web/package.json
+++ b/web/package.json
@@ -25,6 +25,7 @@
"file-saver": "^2.0.5",
"jszip": "^3.10.1",
"lodash-es": "^4.17.21",
+ "marked": "^17.0.1",
"naive-ui": "^2.34.4",
"pinia": "^2.1.6",
"pizzip": "^3.2.0",
diff --git a/web/pnpm-lock.yaml b/web/pnpm-lock.yaml
index 47273ed..b060cf3 100644
--- a/web/pnpm-lock.yaml
+++ b/web/pnpm-lock.yaml
@@ -47,6 +47,9 @@ importers:
lodash-es:
specifier: ^4.17.21
version: 4.17.21
+ marked:
+ specifier: ^17.0.1
+ version: 17.0.1
naive-ui:
specifier: ^2.34.4
version: 2.39.0(vue@3.4.34(typescript@5.5.4))
@@ -1675,6 +1678,11 @@ packages:
resolution: {integrity: sha512-4y7uGv8bd2WdM9vpQsiQNo41Ln1NvhvDRuVt0k2JZQ+ezN2uaQes7lZeZ+QQUHOLQAtDaBJ+7wCbi+ab/KFs+w==}
engines: {node: '>=0.10.0'}
+ marked@17.0.1:
+ resolution: {integrity: sha512-boeBdiS0ghpWcSwoNm/jJBwdpFaMnZWRzjA6SkUMYb40SVaN1x7mmfGKp0jvexGcx+7y2La5zRZsYFZI6Qpypg==}
+ engines: {node: '>= 20'}
+ hasBin: true
+
mdn-data@2.0.14:
resolution: {integrity: sha512-dn6wd0uw5GsdswPFfsgMp5NSB0/aDe6fK94YJV/AJDYXL6HVLWBsxeq7js7Ad+mU2K9LAlwpk6kN2D5mwCPVow==}
@@ -4318,6 +4326,8 @@ snapshots:
dependencies:
object-visit: 1.0.1
+ marked@17.0.1: {}
+
mdn-data@2.0.14: {}
mdn-data@2.0.30: {}
diff --git a/web/src/views/login/index.vue b/web/src/views/login/index.vue
index 77f82e1..3f5ad99 100644
--- a/web/src/views/login/index.vue
+++ b/web/src/views/login/index.vue
@@ -18,7 +18,7 @@
v-model:value="loginInfo.username"
autofocus
class="h-50 items-center pl-10 text-16"
- placeholder="admin"
+ placeholder="请输入用户名"
:maxlength="20"
/>
@@ -28,7 +28,7 @@
class="h-50 items-center pl-10 text-16"
type="password"
show-password-on="mousedown"
- placeholder="123456"
+ placeholder="请输入密码"
:maxlength="20"
@keypress.enter="handleLogin"
/>
diff --git a/web/src/views/valuation/audit/components/AuditDetail.vue b/web/src/views/valuation/audit/components/AuditDetail.vue
index f754473..b8832c4 100644
--- a/web/src/views/valuation/audit/components/AuditDetail.vue
+++ b/web/src/views/valuation/audit/components/AuditDetail.vue
@@ -10,6 +10,7 @@ import {
NImageGroup,
NDataTable,
} from 'naive-ui'
+import { marked } from 'marked'
import { formatDate } from '@/utils'
import TheIcon from '@/components/icon/TheIcon.vue'
@@ -28,6 +29,7 @@ import {
formatThreeYearIncome,
formatNumberValue,
} from '../utils'
+import { mockReportMarkdown } from './mockData.js'
const props = defineProps({
loading: { type: Boolean, default: false },
@@ -198,104 +200,13 @@ const detailSections = computed(() => {
const calcFlow = computed(() => props.detailData?.calculation_result?.flow || [])
-const mockFlowHtml = ref(`
-
-
-
-
-
-
-
一、模型估值B12=(经济价值B143*0.7+文化价值B255*0.3)*风险调整系数B343
-
-
-
1、经济价值B143=基础价值B1173*(1+流量因子B1212)*政策驱动B1345
-
-
-
(1) 基础价值B1173=财务价值P2000*(0.45+0.05*行业系数I0.8)+法律强度L0.3*(0.35+0.05*行业系数I0.8)+发展潜力D0.5*0.2
-
-
• 财务价值P2000=[3年内均收益10000*(1+增长率23%)*5]/5
-
• 法律强度L12=专利分*12*0.4+商标分*12*0.3+版权分*12*0.3
-
• 发展潜力D=专利分*0.5+ESG分*0.2+创新投入比*0.3
-
-
-
-
-
(2) 流量因子B1212
-
-
• 近 30 天搜索指数M1
-
• 行业均值S2
-
• 社交媒体传播度S3
-
-
-
-
-
-
-
-
2、文化价值B2
-
-
-
(1) 活态传承系数B21
-
-
• 传承人等级系数
-
• 教学传播频次
-
• 跨界合作深度
-
-
-
-
-
(2) 纹样基因值B22
-
-
• 纹样复杂度SC
-
• 归一化稀缺H
-
• 历史承载度HI
-
-
-
-
-
-
-
-
-
最终估值A
-
-
-
一、模型估值B
-
-
1、经济价值B1
-
(1) 基础价值B11
-
• 基础价值B1173=财务价值P2000*(0.45+0.05*行业系数I0.8)+法律强度L0.3*(0.35+0.05*行业系数I0.8)+发展潜力D0.5*0.2
-
(2) 流量因子B12
-
• 近 30 天搜索指数M1
-
• 行业均值S2
-
• 社交媒体传播度S3
-
(3) 政策驱动B13
-
• 政策契合度P
-
-
-
-
2、文化价值B2
-
(1) 活态传承系数B21
-
• 传承人等级系数
-
• 教学传播频次
-
• 跨界合作深度
-
(2) 纹样基因值B22
-
• 纹样复杂度SC
-
• 归一化稀缺H
-
• 历史承载度HI
-
-
-
-
-
-`)
+
+
+const mockFlowHtml = ref(mockReportMarkdown)
+
+const renderedFlowHtml = computed(() => {
+ return marked.parse(mockFlowHtml.value)
+})
// 证书相关功能
@@ -345,6 +256,7 @@ const handleCertificateConfirm = async (data) => {
report_url: reportUrl?.[0],
status: 'success'
}
+ console.log("🔥🔥🔥🔥🔥🔥🔥 ~ handleCertificateConfirm ~ payload:", payload);
await api.updateValuation(payload)
@@ -410,7 +322,7 @@ const handleCertificateConfirm = async (data) => {
-
+
@@ -573,6 +485,80 @@ const handleCertificateConfirm = async (data) => {
gap: 4px;
}
+/* Markdown Styles */
+.markdown-body {
+ line-height: 1.6;
+ color: #333;
+}
+.markdown-body :deep(h1),
+.markdown-body :deep(h2),
+.markdown-body :deep(h3),
+.markdown-body :deep(h4),
+.markdown-body :deep(h5),
+.markdown-body :deep(h6) {
+ margin-top: 24px;
+ margin-bottom: 16px;
+ font-weight: 600;
+ line-height: 1.25;
+}
+.markdown-body :deep(h1) { font-size: 2em; border-bottom: 1px solid #eaecef; padding-bottom: .3em; }
+.markdown-body :deep(h2) { font-size: 1.5em; border-bottom: 1px solid #eaecef; padding-bottom: .3em; }
+.markdown-body :deep(h3) { font-size: 1.25em; }
+.markdown-body :deep(p) { margin-top: 0; margin-bottom: 16px; }
+.markdown-body :deep(blockquote) {
+ margin: 0 0 16px;
+ padding: 0 1em;
+ color: #6a737d;
+ border-left: 0.25em solid #dfe2e5;
+}
+.markdown-body :deep(table) {
+ display: block;
+ width: 100%;
+ overflow: auto;
+ margin-bottom: 16px;
+ border-spacing: 0;
+ border-collapse: collapse;
+}
+.markdown-body :deep(table tr) {
+ background-color: #fff;
+ border-top: 1px solid #c6cbd1;
+}
+.markdown-body :deep(table tr:nth-child(2n)) {
+ background-color: #f6f8fa;
+}
+.markdown-body :deep(table th), .markdown-body :deep(table td) {
+ padding: 6px 13px;
+ border: 1px solid #dfe2e5;
+}
+.markdown-body :deep(table th) {
+ font-weight: 600;
+}
+.markdown-body :deep(code) {
+ padding: 0.2em 0.4em;
+ margin: 0;
+ font-size: 85%;
+ background-color: rgba(27,31,35,0.05);
+ border-radius: 3px;
+}
+.markdown-body :deep(pre) {
+ padding: 16px;
+ overflow: auto;
+ font-size: 85%;
+ line-height: 1.45;
+ background-color: #f6f8fa;
+ border-radius: 3px;
+}
+.markdown-body :deep(pre code) {
+ display: inline;
+ padding: 0;
+ margin: 0;
+ overflow: visible;
+ line-height: inherit;
+ word-wrap: normal;
+ background-color: initial;
+ border: 0;
+}
+
/* 计算流程容器 */
:deep(.calc-flow-container) {
display: flex;
diff --git a/web/src/views/valuation/audit/components/calculation-flow.md b/web/src/views/valuation/audit/components/calculation-flow.md
new file mode 100644
index 0000000..4a966df
--- /dev/null
+++ b/web/src/views/valuation/audit/components/calculation-flow.md
@@ -0,0 +1,875 @@
+# 估值计算报告
+
+## 基本信息
+
+| 字段 | 值 |
+|------|----|
+| 估值ID | 38 |
+| 资产名称 | 蜀锦 |
+| 所属机构 | 成都古蜀蜀锦研究所 |
+| 所属行业 | 纺织业 |
+| 非遗等级 | 0 |
+| 创建时间 | 2025-11-26 10:38:50 |
+
+## 详细计算过程
+
+#### 1.最终估值A
+
+> 最终估值A = 模型估值B × 0.7 + 市场估值C × 0.3
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "model_data": {
+ "risky_data": {
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+ },
+ "cultural_data": {
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+ },
+ "economic_data": {
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+ }
+ },
+ "market_data": {
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "issuance_level": "限量:总发行份数 ≤100份",
+ "collection_count": 67000,
+ "expert_valuations": [],
+ "daily_browse_volume": 296000.0,
+ "recent_market_activity": "近一周",
+ "weighted_average_price": {}
+ }
+}
+```
+
+**输出结果**:
+```json
+{
+ "model_value_b": 345.2993048233941,
+ "final_value_ab": 241.99307337637583,
+ "market_value_c": 0.9452,
+ "model_duration_ms": 1911,
+ "total_duration_ms": 2440,
+ "market_duration_ms": 443
+}
+```
+
+
+##### 1.1.模型估值B
+
+计算公式:
+`模型估值B = (经济价值B1 × 0.7 + 文化价值B2 × 0.3) × 风险调整系数B3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "risky_data": {
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+ },
+ "cultural_data": {
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+ },
+ "economic_data": {
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+ }
+}
+```
+
+**输出结果**:
+```json
+{
+ "risk_details": {
+ "legal_risk": 0.0,
+ "market_risk": 0.0,
+ "risk_value_b3": 0.92,
+ "risk_score_sum": 0.3,
+ "inheritance_risk": 10.0
+ },
+ "model_value_b": 345.2993048233941,
+ "risk_value_b3": 0.92,
+ "cultural_details": {
+ "pattern_gene_b22": 810.0,
+ "cultural_value_b2": 37.972824,
+ "living_heritage_b21": 9.28804
+ },
+ "economic_details": {
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "economic_value_b1": 519.9049773282518,
+ "financial_value_f": 33.8,
+ "traffic_factor_b12": 16.711681022311755,
+ "policy_multiplier_b13": 1.75,
+ "development_potential_d": 6.680473372781065
+ },
+ "cultural_value_b2": 37.972824,
+ "economic_value_b1": 519.9049773282518
+}
+```
+
+
+###### 1.1.1.经济价值B1
+
+计算公式:
+`经济价值B1 = 基础价值B11 × (1 + 流量因子B12) × 政策乘数B13`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+}
+```
+
+**输出结果**:
+```json
+{
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "economic_value_b1": 519.9049773282518,
+ "financial_value_f": 33.8,
+ "traffic_factor_b12": 16.711681022311755,
+ "policy_multiplier_b13": 1.75,
+ "development_potential_d": 6.680473372781065
+}
+```
+
+
+###### 1.1.1.1.基础价值B11
+
+计算公式:
+`基础价值B11 = 财务价值F × (0.45 + 0.05 × 行业系数I) + 法律强度L × (0.35 + 0.05 × 行业系数I) + 发展潜力D × 0.2`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "legal_strength_l": 3.3000000000000003,
+ "financial_value_f": 33.8,
+ "industry_coefficient": -0.5,
+ "development_potential_d": 6.680473372781065
+}
+```
+
+**输出结果**:
+```json
+{
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "financial_value_f": 33.8,
+ "industry_coefficient": -0.5,
+ "development_potential_d": 6.680473372781065
+}
+```
+
+
+###### 1.1.1.1.1.财务价值F
+
+计算公式:
+`财务价值F = [3年内年均收益 × (1 + 增长率)^5] ÷ 5`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ]
+}
+```
+
+**输出结果**:
+```json
+{
+ "financial_value_f": 33.8
+}
+```
+
+
+
+###### 1.1.1.1.2.法律强度L
+
+计算公式:
+`法律强度L = 专利分 × 0.4 + 普及分 × 0.3 + 侵权分 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "patent_score": 3.0,
+ "popularity_score": 7.0,
+ "infringement_score": 0.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "legal_strength_l": 3.3000000000000003
+}
+```
+
+
+
+###### 1.1.1.1.3.发展潜力D
+
+计算公式:
+`发展潜力D = 专利分 × 0.5 + ESG分 × 0.2 + 创新投入比 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "esg_score": 5.0,
+ "patent_count": 0.0,
+ "innovation_ratio": 18.93491124260355
+}
+```
+
+**输出结果**:
+```json
+{
+ "development_potential_d": 6.680473372781065
+}
+```
+
+
+
+###### 1.1.1.1.4.行业系数I
+
+计算公式:
+`行业系数I = (目标行业平均ROE - 基准行业ROE) ÷ 基准行业ROE`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "industry_coefficient": -0.5
+}
+```
+
+**输出结果**:
+```json
+{
+ "industry_coefficient": -0.5
+}
+```
+
+
+
+
+###### 1.1.1.2.流量因子B12
+
+计算公式:
+`流量因子B12 = ln(S1 ÷ S2) × 0.3 + 社交媒体传播度S3 × 0.7`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "search_index_s1": 0.7,
+ "industry_average_s2": 2200.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "traffic_factor_b12": 16.711681022311755,
+ "social_media_spread_s3": 27.32506756756757
+}
+```
+
+
+###### 1.1.1.2.1.互动量指数
+
+计算公式:
+`互动量指数 = (点赞 + 评论 + 分享) ÷ 1000`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "interaction_index": 68.3
+}
+```
+
+
+
+###### 1.1.1.2.2.覆盖人群指数
+
+计算公式:
+`覆盖人群指数 = 粉丝数 ÷ 10000`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "followers": 0
+}
+```
+
+**输出结果**:
+```json
+{
+ "coverage_index": 0.0
+}
+```
+
+
+
+###### 1.1.1.2.3.转化效率
+
+计算公式:
+`转化效率 = 商品链接点击量 ÷ 内容浏览量`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "link_views": 296000.0,
+ "sales_volume": 5000.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "conversion_efficiency": 0.016891891891891893
+}
+```
+
+
+
+###### 1.1.1.2.4.社交媒体传播度S3
+
+计算公式:
+`社交媒体传播度S3 = 互动量指数 × 0.4 + 覆盖人群指数 × 0.3 + 转化效率 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "coverage_index": 0.0,
+ "interaction_index": 68.3,
+ "conversion_efficiency": 0.016891891891891893
+}
+```
+
+**输出结果**:
+```json
+{
+ "social_media_spread_s3": 27.32506756756757
+}
+```
+
+
+
+
+###### 1.1.1.3.政策乘数B13
+
+计算公式:
+`政策乘数B13 = 1 + 政策契合度评分P × 0.15,其中 P = 政策匹配度 × 0.4 + 实施阶段评分 × 0.3 + 资金支持度 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "funding_support": 0.0,
+ "policy_match_score": 5,
+ "implementation_stage": 10.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "policy_multiplier_b13": 1.75,
+ "policy_compatibility_score": 5.0
+}
+```
+
+
+
+
+###### 1.1.2.文化价值B2
+
+计算公式:
+`文化价值B2 = 活态传承系数B21 × 0.6 + (纹样基因值B22 ÷ 10) × 0.4`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+}
+```
+
+**输出结果**:
+```json
+{
+ "pattern_gene_b22": 810.0,
+ "cultural_value_b2": 37.972824,
+ "living_heritage_b21": 9.28804
+}
+```
+
+
+###### 1.1.2.1.活态传承系数B21
+
+计算公式:
+`活态传承系数B21 = 传承人等级系数 × 0.4 + 教学传播频次 × 0.3 + 跨界合作深度 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "inheritor_level_coefficient": 0.7
+}
+```
+
+**输出结果**:
+```json
+{
+ "teaching_frequency": 30.0268,
+ "living_heritage_b21": 9.28804
+}
+```
+
+
+###### 1.1.2.1.1.教学传播频次
+
+计算公式:
+`教学传播频次 = 线下传习次数 × 0.6 + 线上课程点击量(万) × 0.4`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "teaching_frequency": 30.0268
+}
+```
+
+
+
+
+###### 1.1.2.2.纹样基因值B22
+
+计算公式:
+`纹样基因值B22 = (结构复杂度SC × 0.6 + 归一化信息熵H × 0.4) × 历史传承度HI × 10`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "pattern_gene_b22": 810.0
+}
+```
+
+
+
+
+###### 1.1.3.风险调整系数B3
+
+计算公式:
+`风险调整系数B3 = 0.8 + 风险评分总和R × 0.4,其中 R = 市场风险 × 0.3 + 法律风险 × 0.4 + 传承风险 × 0.3`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "legal_risk": 0.0,
+ "market_risk": 0.0,
+ "risk_value_b3": 0.92,
+ "risk_score_sum": 0.3,
+ "inheritance_risk": 10.0
+}
+```
+
+
+###### 1.1.3.1.市场风险
+
+计算公式:
+`市场风险依据价格波动率:波动率 ≤5% 计10分,5-15%计5分,>15%计0分`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "market_risk": 0.0
+}
+```
+
+
+
+###### 1.1.3.2.法律风险
+
+计算公式:
+`法律风险根据诉讼状态评分(无诉讼/已解决/未解决)`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "lawsuit_status": 0.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "legal_risk": 0.0
+}
+```
+
+
+
+###### 1.1.3.3.传承风险
+
+计算公式:
+`传承风险依据传承人年龄:≤50岁10分,50-70岁5分,>70岁0分,取最高分`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ]
+}
+```
+
+**输出结果**:
+```json
+{
+ "inheritance_risk": 10.0
+}
+```
+
+
+
+
+
+##### 1.2.市场估值C
+
+计算公式:
+`市场估值C = 市场竞价C1 × 热度系数C2 × 稀缺性乘数C3 × 时效性衰减C4`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "issuance_level": "限量:总发行份数 ≤100份",
+ "collection_count": 67000,
+ "expert_valuations": [],
+ "daily_browse_volume": 296000.0,
+ "recent_market_activity": "近一周",
+ "weighted_average_price": {}
+}
+```
+
+**输出结果**:
+```json
+{
+ "market_value_c": 0.9452,
+ "market_bidding_c1": 2780.0,
+ "temporal_decay_c4": 1.0,
+ "heat_coefficient_c2": 2.0,
+ "scarcity_multiplier_c3": 1.7
+}
+```
+
+
+###### 1.2.1.市场竞价C1
+
+计算公式:
+`市场竞价C1 结合历史交易价格、人工竞价与专家估值的加权结果`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "expert_valuations": [],
+ "weighted_average_price": {}
+}
+```
+
+**输出结果**:
+```json
+{
+ "market_bidding_c1": 2780.0
+}
+```
+
+
+
+###### 1.2.2.热度系数C2
+
+计算公式:
+`热度系数C2 = 1 + 浏览热度分(依据日均浏览量与收藏数量)`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "collection_count": 67000,
+ "daily_browse_volume": 296000.0
+}
+```
+
+**输出结果**:
+```json
+{
+ "heat_coefficient_c2": 2.0
+}
+```
+
+
+
+###### 1.2.3.稀缺性乘数C3
+
+计算公式:
+`稀缺性乘数C3 = 1 + 稀缺等级分`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "issuance_level": "限量:总发行份数 ≤100份"
+}
+```
+
+**输出结果**:
+```json
+{
+ "scarcity_multiplier_c3": 1.7
+}
+```
+
+
+
+###### 1.2.4.时效性衰减C4
+
+计算公式:
+`时效性衰减C4 依据距最近市场活动天数的衰减系数`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+```json
+{
+ "recent_market_activity": "近一周"
+}
+```
+
+**输出结果**:
+```json
+{
+ "temporal_decay_c4": 1.0
+}
+```
+
+
+
diff --git a/web/src/views/valuation/audit/components/mockData.js b/web/src/views/valuation/audit/components/mockData.js
new file mode 100644
index 0000000..1080851
--- /dev/null
+++ b/web/src/views/valuation/audit/components/mockData.js
@@ -0,0 +1,874 @@
+export const mockReportMarkdown = `
+# 估值计算报告
+
+## 基本信息
+
+| 字段 | 值 |
+|------|----|
+| 估值ID | 38 |
+| 资产名称 | 蜀锦 |
+| 所属机构 | 成都古蜀蜀锦研究所 |
+| 所属行业 | 纺织业 |
+| 非遗等级 | 0 |
+| 创建时间 | 2025-11-26 10:38:50 |
+
+## 详细计算过程
+
+#### 1.最终估值A
+
+> 最终估值A = 模型估值B × 0.7 + 市场估值C × 0.3
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "model_data": {
+ "risky_data": {
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+ },
+ "cultural_data": {
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+ },
+ "economic_data": {
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+ }
+ },
+ "market_data": {
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "issuance_level": "限量:总发行份数 ≤100份",
+ "collection_count": 67000,
+ "expert_valuations": [],
+ "daily_browse_volume": 296000.0,
+ "recent_market_activity": "近一周",
+ "weighted_average_price": {}
+ }
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "model_value_b": 345.2993048233941,
+ "final_value_ab": 241.99307337637583,
+ "market_value_c": 0.9452,
+ "model_duration_ms": 1911,
+ "total_duration_ms": 2440,
+ "market_duration_ms": 443
+}
+\`\`\`
+
+
+##### 1.1.模型估值B
+
+计算公式:
+\`模型估值B = (经济价值B1 × 0.7 + 文化价值B2 × 0.3) × 风险调整系数B3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "risky_data": {
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+ },
+ "cultural_data": {
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+ },
+ "economic_data": {
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+ }
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "risk_details": {
+ "legal_risk": 0.0,
+ "market_risk": 0.0,
+ "risk_value_b3": 0.92,
+ "risk_score_sum": 0.3,
+ "inheritance_risk": 10.0
+ },
+ "model_value_b": 345.2993048233941,
+ "risk_value_b3": 0.92,
+ "cultural_details": {
+ "pattern_gene_b22": 810.0,
+ "cultural_value_b2": 37.972824,
+ "living_heritage_b21": 9.28804
+ },
+ "economic_details": {
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "economic_value_b1": 519.9049773282518,
+ "financial_value_f": 33.8,
+ "traffic_factor_b12": 16.711681022311755,
+ "policy_multiplier_b13": 1.75,
+ "development_potential_d": 6.680473372781065
+ },
+ "cultural_value_b2": 37.972824,
+ "economic_value_b1": 519.9049773282518
+}
+\`\`\`
+
+
+###### 1.1.1.经济价值B1
+
+计算公式:
+\`经济价值B1 = 基础价值B11 × (1 + 流量因子B12) × 政策乘数B13\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0,
+ "esg_score": 5.0,
+ "link_views": 296000.0,
+ "patent_count": 0.0,
+ "patent_score": 3.0,
+ "sales_volume": 5000.0,
+ "funding_support": 0.0,
+ "search_index_s1": 0.7,
+ "innovation_ratio": 18.93491124260355,
+ "popularity_score": 7.0,
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ],
+ "infringement_score": 0.0,
+ "policy_match_score": 5,
+ "industry_average_s2": 2200.0,
+ "implementation_stage": 10.0,
+ "industry_coefficient": -0.5
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "economic_value_b1": 519.9049773282518,
+ "financial_value_f": 33.8,
+ "traffic_factor_b12": 16.711681022311755,
+ "policy_multiplier_b13": 1.75,
+ "development_potential_d": 6.680473372781065
+}
+\`\`\`
+
+
+###### 1.1.1.1.基础价值B11
+
+计算公式:
+\`基础价值B11 = 财务价值F × (0.45 + 0.05 × 行业系数I) + 法律强度L × (0.35 + 0.05 × 行业系数I) + 发展潜力D × 0.2\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "legal_strength_l": 3.3000000000000003,
+ "financial_value_f": 33.8,
+ "industry_coefficient": -0.5,
+ "development_potential_d": 6.680473372781065
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "basic_value_b11": 16.77359467455621,
+ "legal_strength_l": 3.3000000000000003,
+ "financial_value_f": 33.8,
+ "industry_coefficient": -0.5,
+ "development_potential_d": 6.680473372781065
+}
+\`\`\`
+
+
+###### 1.1.1.1.1.财务价值F
+
+计算公式:
+\`财务价值F = [3年内年均收益 × (1 + 增长率)^5] ÷ 5\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "three_year_income": [
+ 169.0,
+ 169.0,
+ 169.0
+ ]
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "financial_value_f": 33.8
+}
+\`\`\`
+
+
+
+###### 1.1.1.1.2.法律强度L
+
+计算公式:
+\`法律强度L = 专利分 × 0.4 + 普及分 × 0.3 + 侵权分 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "patent_score": 3.0,
+ "popularity_score": 7.0,
+ "infringement_score": 0.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "legal_strength_l": 3.3000000000000003
+}
+\`\`\`
+
+
+
+###### 1.1.1.1.3.发展潜力D
+
+计算公式:
+\`发展潜力D = 专利分 × 0.5 + ESG分 × 0.2 + 创新投入比 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "esg_score": 5.0,
+ "patent_count": 0.0,
+ "innovation_ratio": 18.93491124260355
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "development_potential_d": 6.680473372781065
+}
+\`\`\`
+
+
+
+###### 1.1.1.1.4.行业系数I
+
+计算公式:
+\`行业系数I = (目标行业平均ROE - 基准行业ROE) ÷ 基准行业ROE\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "industry_coefficient": -0.5
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "industry_coefficient": -0.5
+}
+\`\`\`
+
+
+
+
+###### 1.1.1.2.流量因子B12
+
+计算公式:
+\`流量因子B12 = ln(S1 ÷ S2) × 0.3 + 社交媒体传播度S3 × 0.7\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "search_index_s1": 0.7,
+ "industry_average_s2": 2200.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "traffic_factor_b12": 16.711681022311755,
+ "social_media_spread_s3": 27.32506756756757
+}
+\`\`\`
+
+
+###### 1.1.1.2.1.互动量指数
+
+计算公式:
+\`互动量指数 = (点赞 + 评论 + 分享) ÷ 1000\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "likes": 67000.0,
+ "shares": 500.0,
+ "comments": 800.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "interaction_index": 68.3
+}
+\`\`\`
+
+
+
+###### 1.1.1.2.2.覆盖人群指数
+
+计算公式:
+\`覆盖人群指数 = 粉丝数 ÷ 10000\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "followers": 0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "coverage_index": 0.0
+}
+\`\`\`
+
+
+
+###### 1.1.1.2.3.转化效率
+
+计算公式:
+\`转化效率 = 商品链接点击量 ÷ 内容浏览量\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "link_views": 296000.0,
+ "sales_volume": 5000.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "conversion_efficiency": 0.016891891891891893
+}
+\`\`\`
+
+
+
+###### 1.1.1.2.4.社交媒体传播度S3
+
+计算公式:
+\`社交媒体传播度S3 = 互动量指数 × 0.4 + 覆盖人群指数 × 0.3 + 转化效率 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "coverage_index": 0.0,
+ "interaction_index": 68.3,
+ "conversion_efficiency": 0.016891891891891893
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "social_media_spread_s3": 27.32506756756757
+}
+\`\`\`
+
+
+
+
+###### 1.1.1.3.政策乘数B13
+
+计算公式:
+\`政策乘数B13 = 1 + 政策契合度评分P × 0.15,其中 P = 政策匹配度 × 0.4 + 实施阶段评分 × 0.3 + 资金支持度 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "funding_support": 0.0,
+ "policy_match_score": 5,
+ "implementation_stage": 10.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "policy_multiplier_b13": 1.75,
+ "policy_compatibility_score": 5.0
+}
+\`\`\`
+
+
+
+
+###### 1.1.2.文化价值B2
+
+计算公式:
+\`文化价值B2 = 活态传承系数B21 × 0.6 + (纹样基因值B22 ÷ 10) × 0.4\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0,
+ "inheritor_level_coefficient": 0.7
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "pattern_gene_b22": 810.0,
+ "cultural_value_b2": 37.972824,
+ "living_heritage_b21": 9.28804
+}
+\`\`\`
+
+
+###### 1.1.2.1.活态传承系数B21
+
+计算公式:
+\`活态传承系数B21 = 传承人等级系数 × 0.4 + 教学传播频次 × 0.3 + 跨界合作深度 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0,
+ "cross_border_depth": 0.0,
+ "inheritor_level_coefficient": 0.7
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "teaching_frequency": 30.0268,
+ "living_heritage_b21": 9.28804
+}
+\`\`\`
+
+
+###### 1.1.2.1.1.教学传播频次
+
+计算公式:
+\`教学传播频次 = 线下传习次数 × 0.6 + 线上课程点击量(万) × 0.4\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "douyin_views": 67000.0,
+ "bilibili_views": 0,
+ "kuaishou_views": 0,
+ "offline_sessions": 50.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "teaching_frequency": 30.0268
+}
+\`\`\`
+
+
+
+
+###### 1.1.2.2.纹样基因值B22
+
+计算公式:
+\`纹样基因值B22 = (结构复杂度SC × 0.6 + 归一化信息熵H × 0.4) × 历史传承度HI × 10\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "normalized_entropy": 9,
+ "structure_complexity": 1.5,
+ "historical_inheritance": 18.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "pattern_gene_b22": 810.0
+}
+\`\`\`
+
+
+
+
+###### 1.1.3.风险调整系数B3
+
+计算公式:
+\`风险调整系数B3 = 0.8 + 风险评分总和R × 0.4,其中 R = 市场风险 × 0.3 + 法律风险 × 0.4 + 传承风险 × 0.3\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0,
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ],
+ "lawsuit_status": 0.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "legal_risk": 0.0,
+ "market_risk": 0.0,
+ "risk_value_b3": 0.92,
+ "risk_score_sum": 0.3,
+ "inheritance_risk": 10.0
+}
+\`\`\`
+
+
+###### 1.1.3.1.市场风险
+
+计算公式:
+\`市场风险依据价格波动率:波动率 ≤5% 计10分,5-15%计5分,>15%计0分\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "lowest_price": 1580.0,
+ "highest_price": 3980.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "market_risk": 0.0
+}
+\`\`\`
+
+
+
+###### 1.1.3.2.法律风险
+
+计算公式:
+\`法律风险根据诉讼状态评分(无诉讼/已解决/未解决)\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "lawsuit_status": 0.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "legal_risk": 0.0
+}
+\`\`\`
+
+
+
+###### 1.1.3.3.传承风险
+
+计算公式:
+\`传承风险依据传承人年龄:≤50岁10分,50-70岁5分,>70岁0分,取最高分\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "inheritor_ages": [
+ 0,
+ 0,
+ 2
+ ]
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "inheritance_risk": 10.0
+}
+\`\`\`
+
+
+
+
+
+##### 1.2.市场估值C
+
+计算公式:
+\`市场估值C = 市场竞价C1 × 热度系数C2 × 稀缺性乘数C3 × 时效性衰减C4\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "issuance_level": "限量:总发行份数 ≤100份",
+ "collection_count": 67000,
+ "expert_valuations": [],
+ "daily_browse_volume": 296000.0,
+ "recent_market_activity": "近一周",
+ "weighted_average_price": {}
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "market_value_c": 0.9452,
+ "market_bidding_c1": 2780.0,
+ "temporal_decay_c4": 1.0,
+ "heat_coefficient_c2": 2.0,
+ "scarcity_multiplier_c3": 1.7
+}
+\`\`\`
+
+
+###### 1.2.1.市场竞价C1
+
+计算公式:
+\`市场竞价C1 结合历史交易价格、人工竞价与专家估值的加权结果\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "manual_bids": [
+ 3980.0,
+ 1580.0,
+ 2780.0
+ ],
+ "expert_valuations": [],
+ "weighted_average_price": {}
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "market_bidding_c1": 2780.0
+}
+\`\`\`
+
+
+
+###### 1.2.2.热度系数C2
+
+计算公式:
+\`热度系数C2 = 1 + 浏览热度分(依据日均浏览量与收藏数量)\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "collection_count": 67000,
+ "daily_browse_volume": 296000.0
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "heat_coefficient_c2": 2.0
+}
+\`\`\`
+
+
+
+###### 1.2.3.稀缺性乘数C3
+
+计算公式:
+\`稀缺性乘数C3 = 1 + 稀缺等级分\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "issuance_level": "限量:总发行份数 ≤100份"
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "scarcity_multiplier_c3": 1.7
+}
+\`\`\`
+
+
+
+###### 1.2.4.时效性衰减C4
+
+计算公式:
+\`时效性衰减C4 依据距最近市场活动天数的衰减系数\`
+
+**状态**: ✅ 已完成
+
+**输入参数**:
+\`\`\`json
+{
+ "recent_market_activity": "近一周"
+}
+\`\`\`
+
+**输出结果**:
+\`\`\`json
+{
+ "temporal_decay_c4": 1.0
+}
+\`\`\`
+`
diff --git a/web/src/views/workbench/index.vue b/web/src/views/workbench/index.vue
index 0665518..c4931b0 100644
--- a/web/src/views/workbench/index.vue
+++ b/web/src/views/workbench/index.vue
@@ -12,35 +12,10 @@
{{ $t('views.workbench.text_welcome') }}
-
-
-
+
-
-
- {{ $t('views.workbench.label_more') }}
-
-
-