feat: 5级情感分析、日志UI优化、页面链接支持、v1.0.0-b26cea
This commit is contained in:
sunny-335
@@ -7,7 +7,7 @@
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- **多 AI 角色** — 支持创建多个 AI 角色，每个角色有独立的昵称、人格提示词和 Gravatar 头像，可为不同文章指定不同角色
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- **自动回复** — 监听新评论，自动调用 AI 生成回复，支持多轮对话上下文
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- **多语言适配** — 根据评论语言自动用对应语言回复
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- **情感分析** — 分析评论情感倾向（正面/中性/负面），根据情感调整回复语气
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- **情感分析** — 分析评论情感倾向（非常正面/正面/中性/负面/非常负面），根据情感调整回复语气
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- **草稿模式** — AI 回复先存为草稿，管理员审核后再发布，支持批量操作
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- **失败重试** — AI 生成失败时自动重试，指数退避策略
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- **对话轮次限制** — 同一评论线程中限制 AI 最多回复轮次，防止无限对话
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@@ -67,65 +67,7 @@ pnpm dev
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## 文档
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完整文档请访问 [AI回评文档站](https://nxxy335.top/comment-ai-autopilot)
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## 更新日志
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### v1.0.0-beta.2
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**改进**
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- 通过 Halo 官方推荐的 `ExtensionGetter` 获取 AI Foundation 的 `AiModelService`，替换原先的跨 ClassLoader 反射调用方式
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- 在 `plugin.yaml` 中声明可选插件依赖 `ai-foundation?: "*"`，建立正确的插件依赖关系
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- 新增 `store.halo.run/recommended-apps` 注解，安装后可在应用市场推荐安装 AI Foundation 插件
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- 情感分析和内容审核改用 AI Foundation 结构化输出（`OutputSpec.choice`），分类更可靠
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- AI 调用改用 `GenerateTextRequest` 并设置 `maxRetries=2`，由 SDK 自动重试瞬时错误
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- AI 对话续接时自动获取之前的回复历史并注入到 Prompt 中，AI 能更好地理解对话上下文
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- 优化 AI 自审核评分机制：改为两阶段评估（安全检查 + 质量评分 1-5 分），评分映射到 0-100 分，替代原先的二值评分
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- 精简仪表盘：移除情感分布、近7日回复趋势、平均审核评分三个卡片，快捷操作精简为回复日志、插件设置、刷新数据
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- 重做设置页面：基本设置、AI角色设置、模型设置、Prompt设置、数据清理各为独立页面，通过标签栏切换
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- 优化设置页面布局：按钮统一排版并添加图标，侧边栏新增"未保存"状态指示器
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- 优化日志页面：评分增加等级标签（优秀/良好/一般/较差），筛选下拉框修复文本与箭头重叠
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- 优化 AI Foundation 状态提示宽度，与内容区宽度一致
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- 优化插件文档：修复版本要求、变量名、链接等错误
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**Bug 修复**
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- 修复 RateLimitService 清理线程在插件停止时未关闭导致线程泄漏
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- 修复内容审核提示词要求"重新生成"但代码未使用重新生成内容的问题
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- 修复设置页面按钮图标和文字未在同一行显示的问题
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- 修复设置页面标签栏无法点击切换的问题
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- 修复设置页面配置区域布局错误的问题
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### v1.0.0-beta.1
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**新功能**
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- 草稿模式：关闭"自动发布"后，AI 回复将保存为草稿，需站长审核后才发布
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- 多 AI 角色支持：支持配置多个 AI 虚拟角色，每个角色有独立的提示词、头像和模型
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- 提示词预设：内置多种回复风格预设（专业型、幽默型、简洁型等），可自由组合
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- 对话历史查看：支持查看 AI 回复的完整对话上下文
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**Bug 修复**
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- 修复草稿模式下审批失败（"AI回复已存在，无法重复发布"）的问题
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- 修复批量审批时同样的去重检查冲突问题
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- 修复 AI Foundation 不可用的问题（`PluginManager` 无法通过 Spring 依赖注入获取）
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- 修复 `DefaultSpringPlugin` 包级私有类反射访问权限问题
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- 修复 CI 构建失败（`gradlew` 缺少执行权限）
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**改进**
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- 审批逻辑优化：先查找已有 Reply 扩展再决定创建或更新
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- 移除不必要的 `AiFoundationConfiguration` 配置类
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- 前端 UI 优化：移除编辑功能、简化角色排序逻辑、清理无用代码
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### v0.0.3
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- 增强插件可靠性与可用性
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- 多 AI 角色支持
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- 草稿模式初步实现
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- 文档全面更新
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完整文档及更新日志请访问 [AI回评文档站](https://nxxy335.top/comment-ai-autopilot)
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## 许可证
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+1
-1
@@ -5,7 +5,7 @@ plugins {
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}
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group 'top.nxxy335.commentaiautopilot'
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version '1.0.0-beta.3'
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version '1.0.0-b26cea'
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repositories {
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mavenCentral()
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@@ -41,13 +41,14 @@ export default defineConfig({
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text: "其他",
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items: [
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{ text: "常见问题", link: "/guide/faq" },
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{ text: "更新日志", link: "/CHANGELOG" },
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],
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},
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],
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socialLinks: [
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{
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icon: "github",
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link: "https://github.com/nxxy335/plugin-comment-ai-autopilot",
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link: "https://github.com/sunny-335/plugin-comment-ai-autopilot",
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},
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],
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search: {
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@@ -1,5 +1,24 @@
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# 更新日志
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## v1.0.0-b26cea
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> 2026-06-18
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### 改进
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- **优化情感分析系统**：从 3 级分类（正面/中性/负面）升级为 5 级分类（非常正面/正面/中性/负面/非常负面），情感判断更精细
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- **优化日志页面 UI**：批量操作按钮重写样式，确保底色和白色文字清晰可见；搜索框添加搜索图标；重置按钮添加图标和底色
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- **优化评分显示**：评分数字与等级标签之间添加间距，等级标签增加底色背景（优秀/良好/一般/较差）
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- **优化状态标签**：通过状态、发布状态、情感标签统一使用带底色的标签样式
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- **支持页面链接显示**：日志中新增独立页面（SinglePage）链接显示，之前仅支持文章链接
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- **ObjectMapper 统一注入**：FilterService 和 PromptBuilder 中的 `new ObjectMapper()` 改为 Spring 构造函数注入
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- **服务端过滤优化**：日志列表查询改用 `Queries.equal()` 服务端过滤 status/sentiment，减少内存过滤开销
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- **新增索引**：为 AiCommentReply 扩展添加 `spec.sentiment`、`spec.published`、`spec.postKind` 索引
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- **新增 postKind 字段**：区分关联内容类型（Post/SinglePage），支持页面评论的链接生成
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- **PromptBuilder 情感提示**：适配 5 级情感分类，新增 VERY_POSITIVE 和 VERY_NEGATIVE 的语气提示
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---
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## v1.0.0-beta.2
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> 2026-06-17
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@@ -7,7 +7,7 @@ AI回评（Comment AI Autopilot）是一个 Halo 博客系统的插件，能够
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- **自动回复** — 监听新评论，自动调用AI生成回复，支持多轮对话上下文
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- **多 AI 角色** — 支持创建多个 AI 角色，每个角色有独立的昵称、人格提示词和 Gravatar 头像，可为不同文章指定不同角色
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- **多语言适配** — 根据评论语言自动用对应语言回复
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- **情感分析** — 分析评论情感倾向（正面/中性/负面），根据情感调整回复语气
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- **情感分析** — 分析评论情感倾向（非常正面/正面/中性/负面/非常负面），根据情感调整回复语气
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- **草稿模式** — AI回复先存为草稿，管理员审核后再发布
|
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- **失败重试** — AI生成失败时自动重试，指数退避策略
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- **批量操作** — 草稿模式下支持批量通过/拒绝/删除
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+10
-6
@@ -6,14 +6,16 @@
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| 分类 | 说明 | AI回复语气 |
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|------|------|-----------|
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| 正面 | 评论情绪积极、友好、感谢 | 热情友好，表达感谢和共鸣 |
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| 中性 | 评论情绪平淡、普通提问 | 正常语气回复，不加额外提示 |
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| 负面 | 评论情绪偏消极、不满、批评 | 理性温和，避免激化矛盾 |
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| 非常正面 | 强烈的感谢、赞美、认同（如"太棒了"、"非常感谢"） | 热情洋溢，表达真诚的感谢和共鸣 |
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| 正面 | 友好、肯定、支持（如"不错"、"学习了"） | 热情友好，表达感谢和共鸣 |
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| 中性 | 提问、讨论、陈述事实（如"请问..."、"这个怎么用"） | 正常语气回复，不加额外提示 |
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| 负面 | 不满、质疑、批评（如"不好用"、"有问题"） | 理性温和，避免激化矛盾 |
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| 非常负面 | 攻击、辱骂、极端情绪（如"垃圾"、"骗子"） | 非常温和理性，避免激化矛盾，展现理解和耐心 |
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## 工作原理
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1. 评论通过过滤检查后，调用AI对评论内容进行情感分析
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2. AI 使用结构化输出（`OutputSpec.choice`）返回情感分类结果（POSITIVE / NEUTRAL / NEGATIVE）
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2. AI 使用结构化输出（`OutputSpec.choice`）返回情感分类结果（VERY_POSITIVE / POSITIVE / NEUTRAL / NEGATIVE / VERY_NEGATIVE）
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3. 如果情感分析失败（如AI不可用），默认降级为 NEUTRAL
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4. 情感结果传入 PromptBuilder，在生成Prompt时追加对应的语气提示
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5. 情感结果同时记录在 `AiCommentReply` 的 `sentiment` 字段中
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@@ -22,9 +24,11 @@
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在AI回复日志页面，每条记录会显示情感标签：
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- 🟢 **正面** — 绿色标签
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- 🟢 **非常正面** — 深绿色标签
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- 🟩 **正面** — 浅绿色标签
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- ⚪ **中性** — 灰色标签
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- 🔴 **负面** — 红色标签
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- 🟥 **负面** — 浅红色标签
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- 🔴 **非常负面** — 深红色标签
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## 性能影响
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@@ -47,6 +47,8 @@ public class CommentAiAutopilotPlugin extends BasePlugin {
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.indexFunc(ext -> ext.getSpec().getSentiment()));
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indexSpecs.add(IndexSpecs.<AiCommentReply, String>single("spec.published", String.class)
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.indexFunc(ext -> String.valueOf(ext.getSpec().getPublished())));
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indexSpecs.add(IndexSpecs.<AiCommentReply, String>single("spec.postKind", String.class)
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.indexFunc(ext -> ext.getSpec().getPostKind()));
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});
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schemeManager.register(AiPersona.class);
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@@ -33,6 +33,9 @@ public class AiCommentReply extends AbstractExtension {
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@Schema(description = "关联文章Slug，用于生成文章链接")
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private String postSlug;
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@Schema(description = "关联内容类型: Post/SinglePage")
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private String postKind;
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@Schema(description = "AI回复内容")
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private String reply;
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@@ -525,6 +525,7 @@ public class AiReplyOrchestrator {
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record.getSpec().setCommentId(context.commentId());
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record.getSpec().setPostId(context.postId());
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record.getSpec().setPostSlug(context.postSlug());
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record.getSpec().setPostKind(context.postKind());
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record.getSpec().setReply("");
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record.getSpec().setScore(0);
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record.getSpec().setStatus("PENDING");
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@@ -10,6 +10,7 @@ import run.halo.app.content.ContentWrapper;
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import run.halo.app.content.PostContentService;
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import run.halo.app.core.extension.content.Comment;
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import run.halo.app.core.extension.content.Post;
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import run.halo.app.core.extension.content.SinglePage;
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import run.halo.app.core.extension.content.Reply;
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import run.halo.app.extension.ReactiveExtensionClient;
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@@ -113,7 +114,8 @@ public class ContextExtractor {
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isAiConversation,
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formatPostDate(post),
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commentCount,
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""
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"",
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"Post"
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))
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)
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)
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@@ -129,7 +131,47 @@ public class ContextExtractor {
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isAiConversation,
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"",
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0,
|
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""
|
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"",
|
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"Post"
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));
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}
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|
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if (subjectRef != null && "SinglePage".equals(subjectRef.getKind())) {
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String postName = subjectRef.getName();
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return client.fetch(SinglePage.class, postName)
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.flatMap(singlePage -> getPostContent(postName)
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.flatMap(content -> getCommentCount(comment.getMetadata().getName())
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.map(commentCount -> new CommentContext(
|
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comment.getMetadata().getName(),
|
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postName,
|
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singlePage.getSpec().getSlug(),
|
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commentContent,
|
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commentOwner,
|
||||
singlePage.getSpec().getTitle(),
|
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content,
|
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null,
|
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isAiConversation,
|
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formatSinglePageDate(singlePage),
|
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commentCount,
|
||||
"",
|
||||
"SinglePage"
|
||||
))
|
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)
|
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)
|
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.defaultIfEmpty(new CommentContext(
|
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comment.getMetadata().getName(),
|
||||
postName,
|
||||
"",
|
||||
commentContent,
|
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commentOwner,
|
||||
"",
|
||||
"",
|
||||
null,
|
||||
isAiConversation,
|
||||
"",
|
||||
0,
|
||||
"",
|
||||
"SinglePage"
|
||||
));
|
||||
}
|
||||
|
||||
@@ -145,6 +187,7 @@ public class ContextExtractor {
|
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isAiConversation,
|
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"",
|
||||
0,
|
||||
"",
|
||||
""
|
||||
));
|
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}
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@@ -179,7 +222,8 @@ public class ContextExtractor {
|
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isAiConversation,
|
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formatPostDate(post),
|
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commentCount,
|
||||
history
|
||||
history,
|
||||
"Post"
|
||||
))
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)
|
||||
)
|
||||
@@ -196,7 +240,49 @@ public class ContextExtractor {
|
||||
isAiConversation,
|
||||
"",
|
||||
0,
|
||||
""
|
||||
"",
|
||||
"Post"
|
||||
));
|
||||
}
|
||||
|
||||
if (subjectRef != null && "SinglePage".equals(subjectRef.getKind())) {
|
||||
String postName = subjectRef.getName();
|
||||
return client.fetch(SinglePage.class, postName)
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.flatMap(singlePage -> getPostContent(postName)
|
||||
.flatMap(content -> getCommentCount(commentName)
|
||||
.flatMap(commentCount -> historyMono
|
||||
.map(history -> new CommentContext(
|
||||
commentName,
|
||||
postName,
|
||||
singlePage.getSpec().getSlug(),
|
||||
replyContent,
|
||||
replyOwner,
|
||||
singlePage.getSpec().getTitle(),
|
||||
content,
|
||||
replyName,
|
||||
isAiConversation,
|
||||
formatSinglePageDate(singlePage),
|
||||
commentCount,
|
||||
history,
|
||||
"SinglePage"
|
||||
))
|
||||
)
|
||||
)
|
||||
)
|
||||
.defaultIfEmpty(new CommentContext(
|
||||
commentName,
|
||||
postName,
|
||||
"",
|
||||
replyContent,
|
||||
replyOwner,
|
||||
"",
|
||||
"",
|
||||
replyName,
|
||||
isAiConversation,
|
||||
"",
|
||||
0,
|
||||
"",
|
||||
"SinglePage"
|
||||
));
|
||||
}
|
||||
|
||||
@@ -213,7 +299,8 @@ public class ContextExtractor {
|
||||
isAiConversation,
|
||||
"",
|
||||
0,
|
||||
history
|
||||
history,
|
||||
""
|
||||
));
|
||||
}
|
||||
|
||||
@@ -290,6 +377,18 @@ public class ContextExtractor {
|
||||
return "";
|
||||
}
|
||||
|
||||
private String formatSinglePageDate(SinglePage singlePage) {
|
||||
var publishTime = singlePage.getSpec().getPublishTime();
|
||||
if (publishTime != null) {
|
||||
return publishTime.toString().substring(0, 10);
|
||||
}
|
||||
var creationTimestamp = singlePage.getMetadata().getCreationTimestamp();
|
||||
if (creationTimestamp != null) {
|
||||
return creationTimestamp.toString().substring(0, 10);
|
||||
}
|
||||
return "";
|
||||
}
|
||||
|
||||
private Mono<Integer> getCommentCount(String commentName) {
|
||||
return client.list(Reply.class,
|
||||
reply -> commentName.equals(reply.getSpec().getCommentName()),
|
||||
@@ -311,6 +410,7 @@ public class ContextExtractor {
|
||||
boolean isAiConversation,
|
||||
String postDate,
|
||||
int commentCount,
|
||||
String conversationHistory
|
||||
String conversationHistory,
|
||||
String postKind
|
||||
) {}
|
||||
}
|
||||
|
||||
@@ -142,8 +142,10 @@ public class PromptBuilder {
|
||||
return prompt;
|
||||
}
|
||||
String sentimentHint = switch (sentiment) {
|
||||
case "VERY_POSITIVE" -> "\n\n【情感提示】评论者情绪非常正面积极，请用热情洋溢的语气回复，表达真诚的感谢和共鸣。";
|
||||
case "POSITIVE" -> "\n\n【情感提示】评论者情绪正面积极，请用热情友好的语气回复，可以表达感谢和共鸣。";
|
||||
case "NEGATIVE" -> "\n\n【情感提示】评论者情绪偏负面，请用理性温和的语气回复，避免激化矛盾，展现理解和包容。";
|
||||
case "VERY_NEGATIVE" -> "\n\n【情感提示】评论者情绪非常负面，请用非常温和、理性的语气回复，避免任何可能激化矛盾的表达，展现充分的理解和耐心。";
|
||||
default -> "";
|
||||
};
|
||||
return prompt + sentimentHint;
|
||||
|
||||
@@ -17,13 +17,17 @@ public class SentimentService {
|
||||
}
|
||||
|
||||
public record SentimentResult(String sentiment, double confidence) {
|
||||
public static final String VERY_POSITIVE = "VERY_POSITIVE";
|
||||
public static final String POSITIVE = "POSITIVE";
|
||||
public static final String NEUTRAL = "NEUTRAL";
|
||||
public static final String NEGATIVE = "NEGATIVE";
|
||||
public static final String VERY_NEGATIVE = "VERY_NEGATIVE";
|
||||
}
|
||||
|
||||
private static final List<String> CHOICES = List.of(
|
||||
SentimentResult.POSITIVE, SentimentResult.NEUTRAL, SentimentResult.NEGATIVE
|
||||
SentimentResult.VERY_POSITIVE, SentimentResult.POSITIVE,
|
||||
SentimentResult.NEUTRAL, SentimentResult.NEGATIVE,
|
||||
SentimentResult.VERY_NEGATIVE
|
||||
);
|
||||
|
||||
/**
|
||||
@@ -31,7 +35,15 @@ public class SentimentService {
|
||||
* ({@code OutputSpec.choice}) for reliable classification.
|
||||
*/
|
||||
public Mono<SentimentResult> analyzeSentiment(String commentContent, String modelName) {
|
||||
String systemPrompt = "你是一个情感分析助手。请分析评论的情感倾向，只返回 POSITIVE、NEUTRAL 或 NEGATIVE 之一。";
|
||||
String systemPrompt = "你是一个专业的情感分析助手。请根据以下标准分析评论的情感倾向：\n"
|
||||
+ "\n"
|
||||
+ "- VERY_POSITIVE：非常正面，包含强烈的感谢、赞美或认同（如\"太棒了\"、\"非常感谢\"、\"写得太好了\"）\n"
|
||||
+ "- POSITIVE：正面，友好、肯定或支持的态度（如\"不错\"、\"学习了\"、\"支持\"）\n"
|
||||
+ "- NEUTRAL：中性，提问、讨论、陈述事实，无明显情感倾向（如\"请问...\"、\"这个怎么用\"、\"我觉得\"）\n"
|
||||
+ "- NEGATIVE：负面，不满、质疑或批评（如\"不好用\"、\"有问题\"、\"不太行\"）\n"
|
||||
+ "- VERY_NEGATIVE：非常负面，攻击、辱骂或极端负面情绪（如\"垃圾\"、\"骗子\"、\"太差了\"）\n"
|
||||
+ "\n"
|
||||
+ "只返回 VERY_POSITIVE、POSITIVE、NEUTRAL、NEGATIVE 或 VERY_NEGATIVE 之一。";
|
||||
String userPrompt = "分析以下评论的情感倾向：\n\n" + commentContent;
|
||||
|
||||
return aiFoundationClient.classify(systemPrompt, userPrompt, CHOICES, modelName)
|
||||
|
||||
@@ -30,4 +30,4 @@ spec:
|
||||
url: "https://github.com/sunny-335/plugin-comment-ai-autopilot/blob/main/LICENSE"
|
||||
settingName: "comment-ai-autopilot-settings"
|
||||
configMapName: "comment-ai-autopilot-configmap"
|
||||
version: "1.0.0-beta.3"
|
||||
version: "1.0.0-b26cea"
|
||||
|
||||
+277
-32
@@ -11,27 +11,27 @@
|
||||
|
||||
<!-- Batch Operation Toolbar -->
|
||||
<div v-if="selectedNames.size > 0" class="m-4 mb-0 flex items-center gap-3 bg-blue-50 border border-blue-200 rounded-lg px-4 py-2.5">
|
||||
<span class="text-sm text-blue-700">已选择 {{ selectedNames.size }} 项</span>
|
||||
<span class="text-sm text-blue-700 font-medium">已选择 {{ selectedNames.size }} 项</span>
|
||||
<button
|
||||
class="text-xs px-3 py-1 rounded bg-green-600 text-white hover:bg-green-700 transition-colors"
|
||||
class="batch-btn batch-btn--approve"
|
||||
@click="batchApprove"
|
||||
>
|
||||
批量通过
|
||||
</button>
|
||||
<button
|
||||
class="text-xs px-3 py-1 rounded bg-orange-500 text-white hover:bg-orange-600 transition-colors"
|
||||
class="batch-btn batch-btn--reject"
|
||||
@click="batchReject"
|
||||
>
|
||||
批量拒绝
|
||||
</button>
|
||||
<button
|
||||
class="text-xs px-3 py-1 rounded bg-red-600 text-white hover:bg-red-700 transition-colors"
|
||||
class="batch-btn batch-btn--delete"
|
||||
@click="batchDelete"
|
||||
>
|
||||
批量删除
|
||||
</button>
|
||||
<button
|
||||
class="text-xs text-gray-500 hover:text-gray-700 ml-auto"
|
||||
class="batch-btn batch-btn--cancel"
|
||||
@click="selectedNames.clear(); selectAll = false"
|
||||
>
|
||||
取消选择
|
||||
@@ -42,7 +42,7 @@
|
||||
<div class="m-4 mb-0 flex items-center gap-3">
|
||||
<select
|
||||
v-model="filterStatus"
|
||||
class="rounded-md border border-gray-300 pl-3 pr-8 py-1.5 text-sm focus:border-blue-500 focus:outline-none focus:ring-1 focus:ring-blue-500"
|
||||
class="filter-select"
|
||||
>
|
||||
<option value="">全部状态</option>
|
||||
<option value="PASS">通过</option>
|
||||
@@ -52,23 +52,33 @@
|
||||
</select>
|
||||
<select
|
||||
v-model="filterSentiment"
|
||||
class="rounded-md border border-gray-300 pl-3 pr-8 py-1.5 text-sm focus:border-blue-500 focus:outline-none focus:ring-1 focus:ring-blue-500"
|
||||
class="filter-select"
|
||||
>
|
||||
<option value="">全部情感</option>
|
||||
<option value="VERY_POSITIVE">非常正面</option>
|
||||
<option value="POSITIVE">正面</option>
|
||||
<option value="NEUTRAL">中性</option>
|
||||
<option value="NEGATIVE">负面</option>
|
||||
<option value="VERY_NEGATIVE">非常负面</option>
|
||||
</select>
|
||||
<input
|
||||
v-model="filterKeyword"
|
||||
type="text"
|
||||
placeholder="搜索回复内容..."
|
||||
class="rounded-md border border-gray-300 px-3 py-1.5 text-sm focus:border-blue-500 focus:outline-none focus:ring-1 focus:ring-blue-500"
|
||||
/>
|
||||
<div class="relative flex-1 max-w-xs">
|
||||
<svg class="filter-search-icon" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M21 21l-6-6m2-5a7 7 0 11-14 0 7 7 0 0114 0z" />
|
||||
</svg>
|
||||
<input
|
||||
v-model="filterKeyword"
|
||||
type="text"
|
||||
placeholder="搜索回复内容..."
|
||||
class="filter-input"
|
||||
/>
|
||||
</div>
|
||||
<button
|
||||
class="text-xs text-gray-500 hover:text-gray-700"
|
||||
class="filter-reset-btn"
|
||||
@click="resetFilters"
|
||||
>
|
||||
<svg style="width:14px;height:14px" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M4 4v5h.582m15.356 2A8.001 8.001 0 004.582 9m0 0H9m11 11v-5h-.581m0 0a8.003 8.003 0 01-15.357-2m15.357 2H15" />
|
||||
</svg>
|
||||
重置
|
||||
</button>
|
||||
</div>
|
||||
@@ -112,26 +122,26 @@
|
||||
<div class="flex items-center justify-between mb-3">
|
||||
<div class="flex items-center gap-1.5 flex-wrap">
|
||||
<span
|
||||
class="inline-flex items-center px-2 py-0.5 rounded text-xs font-medium"
|
||||
class="status-tag"
|
||||
:class="getStatusClass(reply.spec.status)"
|
||||
>
|
||||
{{ getStatusLabel(reply.spec.status) }}
|
||||
</span>
|
||||
<span
|
||||
class="inline-flex items-center px-2 py-0.5 rounded text-xs"
|
||||
:class="reply.spec.published ? 'bg-green-50 text-green-600' : 'bg-gray-50 text-gray-400'"
|
||||
class="status-tag"
|
||||
:class="reply.spec.published ? 'status-tag--published' : 'status-tag--unpublished'"
|
||||
>
|
||||
{{ reply.spec.published ? '已发布' : '未发布' }}
|
||||
</span>
|
||||
<span
|
||||
v-if="reply.spec.isAiConversation"
|
||||
class="inline-flex items-center px-2 py-0.5 rounded text-xs bg-blue-50 text-blue-600"
|
||||
class="status-tag status-tag--conversation"
|
||||
>
|
||||
对话
|
||||
</span>
|
||||
<span
|
||||
v-if="reply.spec.sentiment"
|
||||
class="inline-flex items-center px-2 py-0.5 rounded text-xs font-medium"
|
||||
class="status-tag"
|
||||
:class="getSentimentClass(reply.spec.sentiment)"
|
||||
>
|
||||
{{ getSentimentLabel(reply.spec.sentiment) }}
|
||||
@@ -151,11 +161,11 @@
|
||||
<!-- Card footer: meta info + actions -->
|
||||
<div class="px-4 py-2.5 bg-gray-50 border-t border-gray-100 flex items-center justify-between">
|
||||
<div class="flex items-center gap-4 text-xs text-gray-400">
|
||||
<span>
|
||||
评分 <span :class="getScoreClass(reply.spec.score)" class="font-medium">{{ reply.spec.score }}</span>
|
||||
<span class="text-gray-300 ml-0.5">{{ getScoreLabel(reply.spec.score) }}</span>
|
||||
<span class="flex items-center gap-1.5">
|
||||
评分 <span :class="getScoreClass(reply.spec.score)" class="font-semibold">{{ reply.spec.score }}</span>
|
||||
<span class="score-label" :class="getScoreLabelClass(reply.spec.score)">{{ getScoreLabel(reply.spec.score) }}</span>
|
||||
</span>
|
||||
<span v-if="reply.spec.postSlug" class="flex items-center gap-1">
|
||||
<span v-if="reply.spec.postSlug && reply.spec.postKind === 'Post'" class="flex items-center gap-1">
|
||||
文章
|
||||
<a
|
||||
:href="getPostUrl(reply.spec.postSlug)"
|
||||
@@ -167,6 +177,18 @@
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14" />
|
||||
</svg>
|
||||
</span>
|
||||
<span v-else-if="reply.spec.postSlug && reply.spec.postKind === 'SinglePage'" class="flex items-center gap-1">
|
||||
页面
|
||||
<a
|
||||
:href="getPageUrl(reply.spec.postSlug)"
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
class="text-blue-500 hover:text-blue-700 hover:underline"
|
||||
>{{ reply.spec.postSlug }}</a>
|
||||
<svg class="w-3 h-3" fill="none" stroke="currentColor" viewBox="0 0 24 24">
|
||||
<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14" />
|
||||
</svg>
|
||||
</span>
|
||||
<span v-if="reply.spec.retryCount > 0">
|
||||
重试 <span class="text-gray-600">{{ reply.spec.retryCount }}</span> 次
|
||||
</span>
|
||||
@@ -318,6 +340,7 @@ interface AiCommentReplyItem {
|
||||
commentId: string
|
||||
postId: string
|
||||
postSlug: string
|
||||
postKind: string
|
||||
reply: string
|
||||
score: number
|
||||
status: string
|
||||
@@ -509,6 +532,14 @@ const getScoreClass = (score: number) => {
|
||||
return "text-red-600"
|
||||
}
|
||||
|
||||
const getScoreLabelClass = (score: number) => {
|
||||
if (score >= 85) return "score-label--excellent"
|
||||
if (score >= 70) return "score-label--good"
|
||||
if (score >= 50) return "score-label--average"
|
||||
if (score > 0) return "score-label--poor"
|
||||
return ""
|
||||
}
|
||||
|
||||
const getScoreLabel = (score: number) => {
|
||||
if (score >= 85) return "优秀"
|
||||
if (score >= 70) return "良好"
|
||||
@@ -520,15 +551,15 @@ const getScoreLabel = (score: number) => {
|
||||
const getStatusClass = (status: string) => {
|
||||
switch (status) {
|
||||
case "PASS":
|
||||
return "bg-green-100 text-green-700"
|
||||
return "status-tag--pass"
|
||||
case "FAIL":
|
||||
return "bg-red-100 text-red-700"
|
||||
return "status-tag--fail"
|
||||
case "PENDING":
|
||||
return "bg-gray-100 text-gray-700"
|
||||
return "status-tag--pending"
|
||||
case "REJECTED":
|
||||
return "bg-red-100 text-red-700"
|
||||
return "status-tag--rejected"
|
||||
default:
|
||||
return "bg-gray-100 text-gray-700"
|
||||
return "status-tag--pending"
|
||||
}
|
||||
}
|
||||
|
||||
@@ -549,23 +580,31 @@ const getStatusLabel = (status: string) => {
|
||||
|
||||
const getSentimentClass = (sentiment: string) => {
|
||||
switch (sentiment) {
|
||||
case "VERY_POSITIVE":
|
||||
return "status-tag--very-positive"
|
||||
case "POSITIVE":
|
||||
return "bg-green-50 text-green-600"
|
||||
return "status-tag--positive"
|
||||
case "NEGATIVE":
|
||||
return "bg-red-50 text-red-600"
|
||||
return "status-tag--negative"
|
||||
case "VERY_NEGATIVE":
|
||||
return "status-tag--very-negative"
|
||||
case "NEUTRAL":
|
||||
return "bg-gray-100 text-gray-600"
|
||||
return "status-tag--neutral-sentiment"
|
||||
default:
|
||||
return "bg-gray-100 text-gray-600"
|
||||
return "status-tag--neutral-sentiment"
|
||||
}
|
||||
}
|
||||
|
||||
const getSentimentLabel = (sentiment: string) => {
|
||||
switch (sentiment) {
|
||||
case "VERY_POSITIVE":
|
||||
return "非常正面"
|
||||
case "POSITIVE":
|
||||
return "正面"
|
||||
case "NEGATIVE":
|
||||
return "负面"
|
||||
case "VERY_NEGATIVE":
|
||||
return "非常负面"
|
||||
case "NEUTRAL":
|
||||
return "中性"
|
||||
default:
|
||||
@@ -582,6 +621,10 @@ const getPostUrl = (slug: string) => {
|
||||
return `${window.location.origin}/archives/${slug}`
|
||||
}
|
||||
|
||||
const getPageUrl = (slug: string) => {
|
||||
return `${window.location.origin}/pages/${slug}`
|
||||
}
|
||||
|
||||
/**
|
||||
* Strip HTML tags for plain text display (card preview)
|
||||
*/
|
||||
@@ -649,4 +692,206 @@ onMounted(fetchReplies)
|
||||
-webkit-box-orient: vertical;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
/* ===== Batch Operation Buttons ===== */
|
||||
.batch-btn {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
padding: 4px 12px;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
border-radius: 6px;
|
||||
border: none;
|
||||
cursor: pointer;
|
||||
transition: all 0.15s ease;
|
||||
line-height: 1.5;
|
||||
}
|
||||
.batch-btn--approve {
|
||||
background-color: #16a34a;
|
||||
color: #fff;
|
||||
}
|
||||
.batch-btn--approve:hover {
|
||||
background-color: #15803d;
|
||||
}
|
||||
.batch-btn--reject {
|
||||
background-color: #f97316;
|
||||
color: #fff;
|
||||
}
|
||||
.batch-btn--reject:hover {
|
||||
background-color: #ea580c;
|
||||
}
|
||||
.batch-btn--delete {
|
||||
background-color: #dc2626;
|
||||
color: #fff;
|
||||
}
|
||||
.batch-btn--delete:hover {
|
||||
background-color: #b91c1c;
|
||||
}
|
||||
.batch-btn--cancel {
|
||||
background: none;
|
||||
color: #6b7280;
|
||||
margin-left: auto;
|
||||
}
|
||||
.batch-btn--cancel:hover {
|
||||
color: #374151;
|
||||
background: #f3f4f6;
|
||||
}
|
||||
|
||||
/* ===== Filter Bar ===== */
|
||||
.filter-select {
|
||||
padding: 6px 32px 6px 12px;
|
||||
font-size: 13px;
|
||||
border: 1px solid #e5e7eb;
|
||||
border-radius: 8px;
|
||||
background: #f9fafb;
|
||||
color: #374151;
|
||||
outline: none;
|
||||
cursor: pointer;
|
||||
appearance: none;
|
||||
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' fill='none' viewBox='0 0 24 24' stroke='%239ca3af'%3E%3Cpath stroke-linecap='round' stroke-linejoin='round' stroke-width='2' d='M19 9l-7 7-7-7'/%3E%3C/svg%3E");
|
||||
background-repeat: no-repeat;
|
||||
background-position: right 8px center;
|
||||
background-size: 16px;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
.filter-select:focus {
|
||||
border-color: #3b82f6;
|
||||
background-color: #fff;
|
||||
box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1);
|
||||
}
|
||||
.filter-search-icon {
|
||||
position: absolute;
|
||||
left: 10px;
|
||||
top: 50%;
|
||||
transform: translateY(-50%);
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
color: #9ca3af;
|
||||
pointer-events: none;
|
||||
}
|
||||
.filter-input {
|
||||
width: 100%;
|
||||
padding: 6px 12px 6px 34px;
|
||||
font-size: 13px;
|
||||
border: 1px solid #e5e7eb;
|
||||
border-radius: 8px;
|
||||
background: #f9fafb;
|
||||
color: #374151;
|
||||
outline: none;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
.filter-input:focus {
|
||||
border-color: #3b82f6;
|
||||
background-color: #fff;
|
||||
box-shadow: 0 0 0 3px rgba(59, 130, 246, 0.1);
|
||||
}
|
||||
.filter-input::placeholder {
|
||||
color: #9ca3af;
|
||||
}
|
||||
.filter-reset-btn {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
padding: 6px 12px;
|
||||
font-size: 13px;
|
||||
color: #6b7280;
|
||||
background: #f3f4f6;
|
||||
border: 1px solid #e5e7eb;
|
||||
border-radius: 8px;
|
||||
cursor: pointer;
|
||||
transition: all 0.15s ease;
|
||||
}
|
||||
.filter-reset-btn:hover {
|
||||
color: #374151;
|
||||
background: #e5e7eb;
|
||||
}
|
||||
|
||||
/* ===== Status Tags ===== */
|
||||
.status-tag {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding: 2px 8px;
|
||||
border-radius: 4px;
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
line-height: 1.5;
|
||||
}
|
||||
.status-tag--pass {
|
||||
background: #dcfce7;
|
||||
color: #166534;
|
||||
}
|
||||
.status-tag--fail {
|
||||
background: #fee2e2;
|
||||
color: #991b1b;
|
||||
}
|
||||
.status-tag--pending {
|
||||
background: #f3f4f6;
|
||||
color: #374151;
|
||||
}
|
||||
.status-tag--rejected {
|
||||
background: #fee2e2;
|
||||
color: #991b1b;
|
||||
}
|
||||
.status-tag--published {
|
||||
background: #dbeafe;
|
||||
color: #1e40af;
|
||||
}
|
||||
.status-tag--unpublished {
|
||||
background: #f3f4f6;
|
||||
color: #9ca3af;
|
||||
}
|
||||
.status-tag--conversation {
|
||||
background: #ede9fe;
|
||||
color: #5b21b6;
|
||||
}
|
||||
|
||||
/* Sentiment tags */
|
||||
.status-tag--very-positive {
|
||||
background: #dcfce7;
|
||||
color: #166534;
|
||||
}
|
||||
.status-tag--positive {
|
||||
background: #bbf7d0;
|
||||
color: #15803d;
|
||||
}
|
||||
.status-tag--neutral-sentiment {
|
||||
background: #f3f4f6;
|
||||
color: #4b5563;
|
||||
}
|
||||
.status-tag--negative {
|
||||
background: #fecaca;
|
||||
color: #b91c1c;
|
||||
}
|
||||
.status-tag--very-negative {
|
||||
background: #fee2e2;
|
||||
color: #991b1b;
|
||||
}
|
||||
|
||||
/* ===== Score Label ===== */
|
||||
.score-label {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding: 1px 6px;
|
||||
border-radius: 4px;
|
||||
font-size: 11px;
|
||||
font-weight: 500;
|
||||
margin-left: 4px;
|
||||
}
|
||||
.score-label--excellent {
|
||||
background: #dcfce7;
|
||||
color: #166534;
|
||||
}
|
||||
.score-label--good {
|
||||
background: #dbeafe;
|
||||
color: #1e40af;
|
||||
}
|
||||
.score-label--average {
|
||||
background: #fef3c7;
|
||||
color: #92400e;
|
||||
}
|
||||
.score-label--poor {
|
||||
background: #fee2e2;
|
||||
color: #991b1b;
|
||||
}
|
||||
</style>
|
||||
|
||||
Reference in New Issue
Block a user