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# 更新记录
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## v2.1.8(2026-10-26)
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### 新增「适应高度」开关
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- 提示词一多,英文标签区就卡在写死的 360 像素上限里,只能内部滚动,把节点拉大也没用。侧边栏「标签管理」的明细表上方(「颜色」按钮右边)多了一个「适应高度」滑动开关,跟着所选节点走——切到别的节点就显示那个节点自己的状态。
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- 打开后:面板不再被固定上限锁住,多出来的高度全部给英文标签区,提示词能多显示很多行;开关打开时节点会自动撑高一次(按被压住的内容量撑),之后想拉多大多大。
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- 关掉就回到原来的自动高度。开关状态跟着节点保存,重开工作流还在。
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- 默认关闭,提示词少的时候和以前完全一样。
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### 「优化」按模式分派,新增自然语言规则
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- 节点上的「优化为 Anima」改名为「优化」:标签模式下和以前一样,整理英文标签流、只接受英文;模式切到「自然语言」后改用新的自然语言规则,输出完整英文句子,中文也可以直接优化(会先译成英文,状态栏会提示一句)。
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- 助手设置里 OpenAI 兼容与 Ollama 各多一条「自然语言规则」,可以分别自定义,也能单独恢复默认。
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- 模式切到「自然语言」时「按 Anima 顺序排序」自动隐藏——整段句子没有标签流可排;已经排过序时按钮会保留,方便点「取消排序」。
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- 手动选的「自然语言」也算,不用非得自动检测出来;模式选择现在跟着节点保存,重开工作流不用重选。
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## v2.1.5(2026-10-13)
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### 可信度徽章改成按词条整理程度分档
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- 明细表的可信度只显示「未判定 / 低 / 中 / 高」四档,去掉「待确认」这类后缀,看起来干净了。
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- 判据:已收录、**已校验**、且填了分类(不是「未分类」)才算**高**;已收录但没填分类、或还没标成已校验的算**中**;机器翻译还没存进词库的算**低**;词库里查不到的仍是**未判定**。
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- 鼠标停在徽章上会说明为什么是这一档,填了分类的会把分类名带出来。
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- 「高」「中」两档补上中文译文——之前这两档一直显示的是英文。
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### 双击已收录标签就能改词条
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- 明细表里已收录的标签,双击英文那格会打开「新增或编辑个人标签」窗口,和在词库里点「编辑」是同一个:中文、别名、分类、模型、权重、备注都能改。
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- 未收录、待确认的机器翻译,以及 `BREAK`、`<lora:…>` 这类特殊语法,双击仍是原来的定位到提示词。
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- 未收录行去掉「搜索候选」按钮——词库里本来就搜不出这个词,点了只会打开空结果。
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### 自然语言片段双击也开编辑弹窗
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- 双击自然语言片段不再只提示「只有标签支持单独权重」,改成和标签一样打开编辑弹窗,只是只有「颜色」和「编辑」两页(权重和词条信息对整段文本没有意义)。
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- 自然语言片段可以像标签一样设置单独配色。
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## v2.1.0(2026-10-12)
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### 助手设置搬进 ComfyUI 设置面板
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- 侧边栏只保留「标签管理 / 词库 / 词包 / 收藏」四个页签,助手设置改到 ComfyUI 顶部「设置 → 双语提示词检查器 → 助手设置」,打开设置面板就能直接改,不用再进侧边栏找。
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- 「外观」和「语言」从助手设置里分出来,单独成为「语言与外观」一项,排在助手设置上面;下拉改完立即保存并生效,不用再点保存按钮。
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- 「清除已保存的 API 密钥」「清除已保存的百度密钥」从复选框改成滑动开关,打开后旁边显示「保存后生效」,再关掉可以取消。
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### OpenAI 兼容与 Ollama 在翻译服务里直接可选
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- 翻译服务下拉改成四个平级选项:纯词库 / 百度翻译 / OpenAI 兼容接口 / Ollama,不再需要先选「AI」再在下面选后端。
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- OpenAI 兼容和 Ollama 各有自己的地址、模型、密钥、温度、超时和三条翻译规则,来回切换不会互相覆盖,切换后原来填的密钥也还在。
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- Ollama 一栏没有密钥输入框。
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- Ollama 区块新增「使用 Ollama 本地预设」按钮,一键填入本机默认地址;OpenAI 兼容区块的「使用 LM Studio 本地预设」按钮不变。
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- 选纯词库或百度翻译时,会多出一个「AI 后端」下拉,决定「翻译并优化」和「优化为 Anima」用哪一套。
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- 升级后旧配置会按当前选择的后端搬进对应的一套,另一套保留默认值。
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### API 地址限制
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- OpenAI 兼容地址只接受 https,或本机地址(`127.0.0.1` / `localhost` / `::1`),方便 LM Studio 这类本地服务;http 只在填本机地址时允许。
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- Ollama 地址只接受本机地址。
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- 地址里不能带用户名和密码,也不能带 `?` 之后的参数。
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- 远端地址不允许是内网、保留或链路本地地址(例如 `192.168.x.x`、`10.x.x.x`、`169.254.169.254`)。
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### 百度翻译不再显示翻译规则
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- 翻译规则只有 AI 会用上,百度翻译和纯词库下面不再出现规则输入框。
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### 暗色模式下的表单配色
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- 输入框和下拉框改用 ComfyUI 自己的配色变量,不再另外写死一套,暗色主题下和设置面板里其它控件保持一致。
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## v2.0.6(2026-10-10)
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### 明细表可以按关键词查找
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- 明细表上方新增查找框,输入即筛选出当前节点里命中的标签,英文原文和中文解释都参与匹配。
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- 命中的片段会高亮,右侧显示命中数量,按 `Esc` 或点 × 一键清空。
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- 查找与「全部 / 未收录 / 机器翻译 / 个人词库 / 收藏」**叠加生效**,可以先筛来源再筛关键词。
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### 添加标签会插到选中标签之后
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- 在节点里、以及侧边栏搜索词库添加标签时,新标签插在当前选中标签的后面,不再一律追加到提示词末尾;没选中标签时才加到末尾。
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- 连续添加多个标签会依次往后排,添加完新标签自动处于选中状态。
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### Anima 排序可以一键取消
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- 排序写入后按钮变成「取消 Anima 顺序排序」,点击把提示词恢复到排序前的样子,同时退出分类表视图。
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- 提示词本来就是 Anima 顺序时,取消只退出分类视图,不动提示词内容。
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- 排序后又手动改过提示词的,取消入口会自动失效,避免回退把后来的改动一起吞掉。
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- 排序与优化的预览弹窗里,「确认写入英文」改成「确认写入新提示词」。
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### 侧边栏与词库
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- 词库来源下拉新增「自然语言词库」,只显示保存时选了该词库的条目;分类下拉里「自然语言」固定排在「全部」下面,其余仍按拼音排序。
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- 标签管理的节点下拉、以及保存收藏时选节点的弹窗,会显示在画布上双击改过的节点名(后面保留节点号,方便区分同名节点)。
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- 去掉侧边栏「标签管理」里的「管理面板」按钮——它和顶部「词库」页签是同一回事,工具栏只留「刷新词库」。
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## v2.0.0(2026-10-10)
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### 新增「重复检查」节点
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@@ -67,6 +161,7 @@
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- **修复插件前端扩展被加载两遍**:`pyproject.toml` 的 `[tool.comfy] web = "js"` 与 `__init__.py` 的 `WEB_DIRECTORY = "./js"` 会被 ComfyUI 分别登记(key 一个是 `project.name`、一个是模块名),`/extensions` 接口因此把同一批 js 列两次,前端各加载一次并报 `Extension named ... already registered.`。已移除 `web` 字段,前端资源统一由 `WEB_DIRECTORY` 提供。
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- 上游连接判定改用 `node.isInputConnected(slot)`(老版本无此方法时退回读 `input.link`),消除新版前端里 `input.link is deprecated` 的控制台刷屏。
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## v1.2.0(2026-09-23)
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- 翻译服务与 AI 后端解耦(schema v3):翻译/解释可选纯词库 / 百度翻译 / AI;"翻译并优化"与"优化为 Anima"恒走 AI。AI 与百度密钥独立留存,切换翻译服务互不清空——只有 AI 后端/地址变更或换机器时才清 AI Key,百度密钥只在显式清除时才清。
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@@ -75,7 +170,6 @@
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- 修复 `clear_ai_api_key` / `clear_baidu_secret_key` 在 payload 未同时包含对应密钥字段时不生效的嵌套条件 bug。
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- 修复节点高度棘轮上涨:ComfyUI `text` 控件的 `computedHeight` 是单调累加器,每次写值都会让节点变大一点。改用原生 `text` 控件的 `scrollHeight@auto` 作为稳定基线,不再读 `widget.y`,节点高度在多次写值后锁定不变。
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- `inspectorNodeTargetHeight` 签名简化为 `{baseHeight, targetWidgetHeight, fallbackBaseHeight, minimumHeight}`,移除旧 `widgetY`/`nodeHeight`/`currentWidgetHeight` 等参数。
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- 新增标签拖拽排序:英文标签区可按住标签直接拖动,明细表每行左侧提供 `⠿` 手柄(含插入指示线与边缘自动滚动),选中标签后支持 `Alt+↑` / `Alt+↓` 键盘微调;三处入口共用同一套 `Ctrl+Z` 撤销历史。
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- 排序按“提取—插入”建模:保留原有逗号、空格与换行排版,多行结构不被合并;自然语言块整体移动,内部不拆分;重复标签按出现位置独立移动。
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- 明细表筛选视图(未知/机器译/个人词库/收藏)与自然语言、指令模式下不启用拖拽,避免局部顺序被误解为完整顺序。
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@@ -96,16 +190,13 @@
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- 收藏数据存在 ComfyUI 用户目录 `user/bilingual-prompt-inspector/saved_prompts/`(`index.json` + 独立图片文件),不写入插件目录,重装插件不丢数据;单图上限 5 MB,最多 2000 条。
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- 收藏不记录工作流信息;「载入节点」先弹窗确认再覆盖节点文本,不进 `Ctrl+Z` 撤销栈。侧边栏「新建」在没有选中节点时提供节点选择器兜底。
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- 新增 `tests/test_saved_prompt_store.py`:覆盖图片魔数校验、超限拒绝、删除连带删图、导出导入往返(保留原顺序)、重复与非法条目跳过、非法时间戳回退等 14 个用例。
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- 新增外观模式配置:助手设置里可切换「跟随 ComfyUI / 暗色 / 亮色」,默认跟随——ComfyUI 用什么主题插件就用什么主题。此前插件把配色硬编码成暗色值,在 ComfyUI 亮色模式下文字与背景几乎无法分辨。
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- 实现上新增一组 `--bpi-*` CSS 变量(面板、文字、边框、按钮、输入框、表格、弹窗),按 `:root`(亮色默认)、`.dark-theme`(跟随 ComfyUI 暗色)、`[data-bpi-theme]`(强制暗/亮)四套定义;配置存在 `assistant_store` 的 `appearance` 字段,切换后即时生效无需刷新。
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- 节点中文同步编辑区的「标签管理」「助手设置」入口已移除(与侧边栏管理面板重复),代码里保留注释说明如何恢复;助手设置里的翻译服务说明改为整行显示,不再挤在表单左列。
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- 用户界面英文化:为符合 ComfyUI-Manager 注册要求,节点显示名改为 `Prompt Translator & Manager`,`@title` / `@description` / `RETURN_NAMES` / `CATEGORY` 与约 540 处 JS 界面文字(按钮、提示、状态消息、输入框占位符、语法诊断)全部改为英文。
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- 中文通过 locale 保留:新增 `locales/zh/main.json`(`nodeDefs` 结构),在 ComfyUI 里把界面语言切到中文后,节点名、描述与输入输出名仍显示中文「提示词翻译与管理(英文输出)」——由 ComfyUI 的 `build_translations()` 与前端 `mergeCustomNodesI18n()` 自动合并,无需额外配置。
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- 英文化时有四类内容刻意保留中文:代码注释;匹配用户中文输入的正则模式(如「翻译要求/正文」结构化指令识别);词库中文分类名匹配表(改掉会导致分类排序失效);以及「未收录」「自然语言片段(待翻译或确认)」等在中文列显示的翻译数据。
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- 更新 5 个测试文件的断言以匹配新的英文字符串(`test_anima_sorter.mjs`、`test_clear_controls.mjs`、`test_dictionary_tools.mjs`、`test_parser.mjs`、`test_project_link.mjs`)。
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- 新增界面语言设置:助手设置页新增「Language」下拉,可选「跟随 ComfyUI 语言设置」(默认)/「中文」/「英文」,随其它设置一起存在 `assistant_store` 的 `language` 字段(auto / zh / en),并在 `localStorage` 留一份供首屏同步取值。
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- ComfyUI 自带的 locale 只翻译 `nodeDefs`(节点名、描述、输入输出名),面板里的按钮、状态栏、tooltip 管不到,因此新增插件自建的 i18n 层 `js/i18n.js`:源码继续保留英文原文(上架要求),运行时按原文查中文表,查不到就原样显示英文,不会出现半中半英或空文案。
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- 文案统一走 `t()`:`element()` / `button()` / `field()` 三个 DOM 工厂与全部 `title` / `placeholder` / `textContent` 赋值点都接入翻译(共 200+ 条文案)。带变量的文案(如 `deleted “xxx”; press Ctrl+Z to undo`)把「“…”」片段和数字折叠成 `{}` 占位符再回填,模板字符串也能整句翻译。
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@@ -115,7 +206,7 @@
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- 补齐第二批翻译(约 200 条):词包卡片信息(个人词库/大词库/社区词包的条数、版本、来源、授权)、标签管理的统计行「共 N 个标签|已识别|未收录|待确认」、模式提示、各类操作回执(移动/隐藏/恢复/翻译/导入)、语法诊断全部文案(括号、权重、重复标签、冲突组、输入模式判定理由)、Anima 分类名、以及所有请求失败提示。
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- 变量的递归翻译:嵌在文案里的变量本身也可能是界面词(如冲突组名 `Solo vs multiple subjects`、模式名 `Tag`),回填时会再翻译一层,避免出现「中文句子里夹一个英文词」。
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- 为让变量能被稳定折叠,`parser.js` 的诊断模板与词包信息模板给动态片段加上「“...”」包裹(版本号 `1.0.0`、来源、授权等),否则带点号的版本会被拆成多个变量而匹配不到译表。
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- 统计行改为分段翻译再拼接:词库页的 `Showing … | Selected … | Enabled packs … | Built-in … | Large … | Personal … | Pending …` 与节点里的 `Common dictionary … items | Large …` 原来是整句做键,大词库有「未安装 / 按需(N 条)/ 已停用」三种形态,整句键必然漏掉其中几种。现在每段各自翻译后再用 ` | ` 拼起来,新增形态不会再漏。
|
||||
- 统计行改为分段翻译再拼接:词库页的 `Showing … | Selected … | Enabled packs … | Built-in … | Large … | Personal … | Pending …` 与节点里的 `Common dictionary … items | Large …` 原来是整句做键,大词库有「未安装 / 按需(N 条)/ 已停用」三种形态,整句键必然漏掉其中几种。现在每段各自翻译后再用 `|` 拼起来,新增形态不会再漏。
|
||||
- 修掉一类「译表里有、界面上却还是英文」的隐蔽 bug:模板里的自由文本变量(标签名、词包名、错误信息、文件名、操作名)没有用「“...”」包裹时不会被折叠成 `{}`,整句变成带具体内容的字面量,永远匹配不到译表。已统一给 27 处这类变量加上包裹,并把 4 处误用 ASCII 直引号的地方(`"Re-translated \"...\""` 等)换成全角引号;译表里 6 条把直引号烤进键名的条目(`"Processed \"{}\""` 等)同步改成纯 `{}`。
|
||||
- 补齐第三批翻译(22 条):置信度徽章(`Low · pending` / `Medium · pending` / `Medium · session-only`)、收藏星标按钮(★/☆)、`⚠ Not indexed:` 标签提示、Anima 格式说明、`Node #N · N tags` 收藏备注、`Running …` / `Translating unknown tags N/M` / `Translation complete …` 三条运行状态、`Querying dictionary…` / `Searching for more…` / `Paused, waiting for confirmation…`、权重越界诊断、以及词包导入预览与删除确认。
|
||||
- 两处组合句改分段翻译:词包导入预览 `Tags N | Sample: …`(示例内容是数据,不该参与翻译)与标签管理节点标题 `Node #N: …`(提示词原文不翻译)。
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# ComfyUI 双语提示词管理器 v2.0.0
|
||||
# ComfyUI 双语提示词管理器 v2.1.8
|
||||
|
||||
> ComfyUI 双语提示词节点:把英文提示词拆成可点击的标签,边写边看中文解释、调顺序、试效果。
|
||||
|
||||
@@ -73,8 +73,10 @@
|
||||
|
||||
| 能力 | 说明 |
|
||||
|---|:-:|
|
||||
| **四种处理方式** | 仅翻译 / 翻译并优化 / 优化为 Anima / 按 Anima 官方顺序整理(不新增标签,只重排分段) |
|
||||
| **自动识别模式** | 自动区分纯标签、纯自然语言、混合文本和翻译指令,不用手选模式 |
|
||||
| **四种处理方式** | 仅翻译 / 翻译并优化 / 优化 / 按 Anima 官方顺序整理(不新增标签,只重排分段) |
|
||||
| **优化按模式分派** | 标签模式下「优化」整理现有英文标签流(只吃英文);自然语言模式下改写为英文自然语句,中文会先译成英文。两种模式各用一套规则,可在助手设置里分别自定义 |
|
||||
| **自动识别模式** | 自动区分纯标签、纯自然语言、混合文本和翻译指令,也可以在明细表上方手动指定;指定的模式跟着节点保存 |
|
||||
| **自然语言模式** | 模式切到「自然语言」后,「按 Anima 顺序排序」自动隐藏——整段句子没有标签流可排 |
|
||||
| **提示词诊断** | 自动标出可疑权重、重复标签、语法问题 |
|
||||
| **快捷添加** | 底部的快捷输入框:写中文自动翻译成英文标签后追加,写英文标签直接追加;`Enter` 添加、`Shift+Enter` 换行、`Ctrl+Enter` 翻译并优化 |
|
||||
|
||||
@@ -85,7 +87,7 @@
|
||||
| **多来源词库** | 内置词库 + 个人词库 + 社区词库包,每条解释都会标注来源 |
|
||||
| **概念搜索** | 搜「丝袜」能返回连裤袜、长筒袜、过膝袜等相关标签,支持滚动分页加载 |
|
||||
| **大型 Danbooru 词库(可选)** | 按需安装,覆盖面更广,不装也不影响其它功能 |
|
||||
| **翻译服务可切换** | 纯词库(离线、免费)/ 百度翻译 / AI(OpenAI 兼容 API 或 Ollama)。翻译与解释可选任意一种;「翻译并优化」「优化为 Anima」恒定走 AI |
|
||||
| **翻译服务可切换** | 纯词库(离线、免费)/ 百度翻译 / OpenAI 兼容 API / Ollama。翻译与解释可选任意一种;「翻译并优化」「优化」恒定走 AI |
|
||||
| **密钥互不干扰** | AI 与百度密钥独立留存,切换翻译服务不会清空;均不写入工作流、不返回浏览器 |
|
||||
|
||||
### 上游提示词接管
|
||||
@@ -122,7 +124,9 @@
|
||||
|
||||
### 侧边栏管理面板
|
||||
|
||||
标签管理、词库维护、词库包、助手设置、收藏五个分页都收在侧边栏的「双语提示词管理」面板里,节点本身保持简洁。面板里的改动会实时同步到页面上所有同类节点,不需要刷新页面。
|
||||
标签管理、词库维护、词库包、收藏四个分页收在侧边栏的「双语提示词管理」面板里,节点本身保持简洁。面板里的改动会实时同步到页面上所有同类节点,不需要刷新页面。
|
||||
|
||||
助手设置不在这个面板里:它在 ComfyUI 的「设置」面板中,「设置 → 双语提示词检查器」下有两项 ——「语言与外观」和「助手设置」,表单都直接铺在设置面板右侧。
|
||||
|
||||
---
|
||||
|
||||
@@ -132,7 +136,7 @@
|
||||
|
||||
节点上可以大致分成四块:
|
||||
|
||||
1. **英文原文(实际输出)**——节点真正输出给下游的文本。上面有「编辑文本 / 完成」「清空」「插入换行」「收藏」「优化为 Anima」「按 Anima 顺序排序」几个按钮。
|
||||
1. **英文原文(实际输出)**——节点真正输出给下游的文本。上面有「编辑文本 / 完成」「清空」「插入换行」「收藏」「优化」「按 Anima 顺序排序」几个按钮。
|
||||
2. **中文对照区**——英文标签逐条对应的中文,只用于阅读,不进入输出,也不会传给下游。
|
||||
3. **明细表**——每行是一个标签:来源、翻译、权重、分类,右侧按行状态给出操作(翻译 / 确认并存 / 重新翻译 / 编辑中文 / 收藏 / 复制 / 删除个人词条)。上方有搜索框、模式选择、颜色模式、筛选(全部 / 未知 / 机器翻译 / 个人词库 / 收藏)和问题提示。
|
||||
4. **快捷添加**——底部输入框,中文进英文出(自动翻译后追加),英文则直接追加。
|
||||
@@ -141,15 +145,24 @@
|
||||
|
||||
## 安装
|
||||
|
||||
**用 ComfyUI-Manager(推荐)**:在 Manager 的节点列表里搜索 `Bilingual Prompt Inspector` 安装;也可以走 Manager 的「Install via Git URL」,填入下面的仓库地址。
|
||||
**用 ComfyUI-Manager(推荐)**:在 Manager 的节点列表里搜索 `Bilingual Prompt Inspector` 安装;也可以走 Manager 的「Install via Git URL」,填入仓库的仓库地址。
|
||||
|
||||
**使用comfy-cli安装**:
|
||||
|
||||
```bash
|
||||
cd ComfyUI/
|
||||
comfy node install prompt-translator-manager
|
||||
```
|
||||
|
||||
**手动安装**:
|
||||
|
||||
```bash
|
||||
cd ComfyUI/custom_nodes/
|
||||
git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.git
|
||||
git clone --depth 1 https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.git
|
||||
```
|
||||
|
||||
不过这里如果有动手能力的话推荐使用git安转,因为现在就我和我的朋友在使用,有时候修复bug和制作新功能我是总结下来然后一步一步的修复。直到把这次收录的bug和建议给完成之后才bump版本。
|
||||
|
||||
重启 ComfyUI,在节点菜单的 **text/prompt** 分类里找到 **提示词翻译与管理(英文输出)**(英文界面下显示为 Prompt Translator & Manager),也可以直接搜索「提示词」。
|
||||
|
||||
两个常见坑:
|
||||
@@ -176,13 +189,17 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
|
||||
### 翻译服务配置
|
||||
|
||||
默认走纯词库,不联网也能用。需要机器翻译或 AI 优化时,打开侧边栏「双语提示词管理」面板的「助手设置」分页。面板分三段:
|
||||
默认走纯词库,不联网也能用。需要机器翻译或 AI 优化时,打开「设置 → 双语提示词检查器 → 助手设置」。这一项分三段:
|
||||
|
||||
| 分段 | 内容 |
|
||||
|---|---|
|
||||
| **翻译服务** | 翻译 / 解释按此选择:纯词库(离线、免费)/ 百度翻译(需自行申请开放平台的 APP ID 与密钥)/ AI(走下面的 AI 配置) |
|
||||
| **翻译服务** | 翻译 / 解释按此选择:纯词库(离线、免费)/ 百度翻译(需自行申请开放平台的 APP ID 与密钥)/ OpenAI 兼容接口 / Ollama(本地)。选后面两个时,它们本身就是下面的 AI 服务 |
|
||||
| **百度翻译** | 独立配置 APP ID 与密钥,切换翻译服务不会清空 |
|
||||
| **AI 服务** | 后端(OpenAI 兼容 / Ollama)、API 地址与模型、可选 API Key、温度、超时。「翻译并优化」「优化为 Anima」恒定走这里 |
|
||||
| **AI 服务** | 「翻译并优化」「优化」恒定走这里。翻译服务选了 OpenAI 兼容 / Ollama 时,下面直接就是那个后端的配置;选纯词库 / 百度翻译时,这里多出一个「AI 后端」下拉,决定优化用哪一套。两个后端各存一套配置,切换不清空: |
|
||||
| ↳ OpenAI 兼容 | API 地址、模型、可选 API Key、温度、超时,另有「使用 LM Studio 本地预设」一键填入 `1234/v1`。远端地址必须 https,本机回环(127.0.0.1 / localhost)才允许 http;内网、保留、链路本地地址一律拒绝 |
|
||||
| ↳ Ollama | API 地址、模型、温度、超时,没有密钥,另有「使用 Ollama 本地预设」一键填入 `11434`。地址只能是本机回环地址,其它一律拒绝 |
|
||||
|
||||
两个后端还各有一套规则(翻译 / 翻译并优化 / 优化 / 自然语言):本地小模型与云端大模型要写的提示词往往不一样,分开存可以随时切换后端而不用重改规则。其中「自然语言」那套只在自然语言模式下被「优化」使用,结果按完整英文句子保留标点,不套 Anima 的标点限制。地址不合规时会在发出请求前直接报错。
|
||||
|
||||
### 大型词库(可选)
|
||||
|
||||
@@ -190,7 +207,7 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
|
||||
### 界面语言与外观
|
||||
|
||||
界面文案跟随 ComfyUI 的语言设置,也可以在侧边栏面板的「助手设置」分页里固定为中文或英文。外观同样可在「跟随 ComfyUI / 暗色 / 亮色」之间切换。
|
||||
界面文案跟随 ComfyUI 的语言设置,也可以在「设置 → 双语提示词检查器 → 语言与外观」里固定为中文或英文。外观同样可在「跟随 ComfyUI / 暗色 / 亮色」之间切换,两项改完立即生效并单独保存。
|
||||
|
||||
---
|
||||
|
||||
@@ -204,7 +221,7 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
<details>
|
||||
<summary><b>点翻译提示要先配置翻译服务</b></summary>
|
||||
|
||||
纯词库模式下只能查词库,不会翻译。想翻译请在侧边栏面板的「助手设置」分页里选一个翻译服务(百度或 AI)。
|
||||
纯词库模式下只能查词库,不会翻译。想翻译请在「设置 → 双语提示词检查器 → 助手设置」里选一个翻译服务(百度翻译、OpenAI 兼容接口或 Ollama)。
|
||||
</details>
|
||||
|
||||
<details>
|
||||
|
||||
+21
@@ -31,3 +31,24 @@ unauthenticated ComfyUI instance directly to the public internet.
|
||||
External translation and optimization requests are sent only to the provider configured
|
||||
by the user. Review that provider's privacy policy, logging behavior, content policy,
|
||||
and cost before use.
|
||||
|
||||
## Outbound request targets
|
||||
|
||||
AI requests are sent only to the address stored in the local configuration file, and that
|
||||
address is validated before a request is sent:
|
||||
|
||||
- OpenAI-compatible endpoints must use HTTPS. Plain HTTP is accepted only for loopback
|
||||
addresses on the same machine (127.0.0.0/8, ::1, localhost), so a local runtime such as
|
||||
LM Studio keeps working without sending the API key in clear text across the network.
|
||||
- Remote OpenAI-compatible endpoints must be public. An address written directly as a
|
||||
private, reserved or link-local IP (192.168.x.x, 10.x.x.x, 172.16.x.x, 169.254.169.254,
|
||||
...) is rejected even over HTTPS. Domain names are accepted; they are not resolved during
|
||||
validation.
|
||||
- Ollama endpoints must be a loopback address on the same machine.
|
||||
|
||||
Credentials embedded in the URL (`user:pass@`) and query strings are rejected as well, and
|
||||
only the `http` and `https` schemes are allowed. The address is re-validated immediately
|
||||
before each request, so editing the configuration file by hand cannot bypass these rules.
|
||||
|
||||
The large Danbooru dictionary is a local read-only SQLite file under the extension's data
|
||||
directory. Despite the `connect(` call, it opens a file on disk and opens no socket.
|
||||
|
||||
+235
-94
@@ -46,17 +46,30 @@ DEFAULT_OPTIMIZATION_RULE = """你是 Anima 模型英文提示词优化器。输
|
||||
对于明确为成年人的合法成人内容,准确保留并规范相关成人标签,不弱化、不含糊替换,也不主动增加原文没有的成人内容;不得将未成年人或年龄不明确的人物成人化。
|
||||
标签使用英文逗号分隔;自然语言只放在末尾并使用英文句点分隔。仅使用 Anima 支持的英文标点和语法:逗号、句点、圆括号与冒号权重、@ 画师前缀、下划线、连字符、撇号、百分号,以及尖括号 LoRA 语法。"""
|
||||
|
||||
DEFAULT_NATURAL_RULE = """你是面向现代生图模型(Krea、FLUX、Qwen-Image 等)的英文自然语言提示词助手。把用户输入整理成一段通顺、具体、可直接使用的英文描述;只返回最终结果,不输出 Markdown、标题、引号、解释、警告或免责声明。
|
||||
输入是中文、英文或中英混合都可以:含中文时先忠实译为英文再整理表达,纯英文时只做表达优化,不改变原意。输入是逗号分隔的标签时,先理解这些标签的含义,再改写成一段连贯的英文自然语言描述。
|
||||
保留主体、动作与状态、外貌与服装、环境与背景、光线、镜头与构图、风格与画材、氛围与情绪;原文没有给出的要素不要凭空添加,也不要删掉原文已经写明的限制。
|
||||
严格保留人物数量、成年人身份、角色名、作品名、否定关系、左右位置和安全等级,不得擅自换人、增加人物或改变主题。
|
||||
对于明确为成年人的合法成人内容,准确保留相关描述,不弱化、不含糊替换,也不主动增加原文没有的成人内容;不得将未成年人或年龄不明确的人物成人化。
|
||||
用完整的英文句子输出,按语法正常使用逗号、句点和连接词;不要写成逗号分隔的标签列表,也不要使用括号权重、@ 画师前缀或尖括号语法。"""
|
||||
|
||||
DEFAULT_CONFIG = {
|
||||
"schema_version": 3,
|
||||
# 翻译/解释走哪个服务;优化永远走 AI,与此无关
|
||||
"translate_service": "dictionary", # dictionary | baidu | ai
|
||||
# AI 后端独立配置,不随翻译服务切换而清空
|
||||
"schema_version": 4,
|
||||
# 翻译/解释走哪个服务;OpenAI 兼容与 Ollama 本身就是两个平级选项
|
||||
"translate_service": "dictionary", # dictionary | baidu | openai_compatible | ollama
|
||||
# 选词库/百度时翻译不走 AI,但「翻译并优化」「优化」恒走 AI —— 这时用它决定读哪一套
|
||||
"ai_provider": "openai_compatible", # openai_compatible | ollama
|
||||
"ai_base_url": "",
|
||||
"ai_model": "",
|
||||
"ai_api_key": "",
|
||||
"ai_temperature": 0.2,
|
||||
"ai_timeout_seconds": 90,
|
||||
# OpenAI 兼容:远端必须 https,本机回环 http 也放行(本地 LM Studio 之类)
|
||||
"openai_base_url": "",
|
||||
"openai_model": "",
|
||||
"openai_api_key": "",
|
||||
"openai_temperature": 0.2,
|
||||
"openai_timeout_seconds": 90,
|
||||
# Ollama:只允许本机回环地址,没有密钥
|
||||
"ollama_base_url": "http://127.0.0.1:11434",
|
||||
"ollama_model": "",
|
||||
"ollama_temperature": 0.2,
|
||||
"ollama_timeout_seconds": 90,
|
||||
# 百度翻译独立配置,不随翻译服务切换而清空
|
||||
"baidu_appid": "",
|
||||
"baidu_secret_key": "",
|
||||
@@ -66,11 +79,24 @@ DEFAULT_CONFIG = {
|
||||
"appearance": "auto", # auto | dark | light
|
||||
# 插件面板自己的界面语言:auto 跟随 ComfyUI 的 Comfy.Locale,zh / en 强制指定
|
||||
"language": "auto", # auto | zh | en
|
||||
"translation_rule": DEFAULT_TRANSLATION_RULE,
|
||||
"translate_optimize_rule": DEFAULT_TRANSLATE_OPTIMIZE_RULE,
|
||||
"optimization_rule": DEFAULT_OPTIMIZATION_RULE,
|
||||
# 每个后端一套规则:本地小模型和云端大模型要写的提示词不一样
|
||||
"openai_translation_rule": DEFAULT_TRANSLATION_RULE,
|
||||
"openai_translate_optimize_rule": DEFAULT_TRANSLATE_OPTIMIZE_RULE,
|
||||
"openai_optimization_rule": DEFAULT_OPTIMIZATION_RULE,
|
||||
"openai_natural_rule": DEFAULT_NATURAL_RULE,
|
||||
"ollama_translation_rule": DEFAULT_TRANSLATION_RULE,
|
||||
"ollama_translate_optimize_rule": DEFAULT_TRANSLATE_OPTIMIZE_RULE,
|
||||
"ollama_optimization_rule": DEFAULT_OPTIMIZATION_RULE,
|
||||
"ollama_natural_rule": DEFAULT_NATURAL_RULE,
|
||||
}
|
||||
|
||||
# 规则按后端分成两套,遍历时统一用这两个前缀
|
||||
AI_PROVIDER_PREFIXES = {"openai_compatible": "openai", "ollama": "ollama"}
|
||||
# translate_service 里属于 AI 的两个值,与 ai_provider 共用同一套前缀
|
||||
AI_SERVICES = frozenset(AI_PROVIDER_PREFIXES)
|
||||
TRANSLATE_SERVICES = frozenset({"dictionary", "baidu"}) | AI_SERVICES
|
||||
RULE_KEYS = ("translation_rule", "translate_optimize_rule", "optimization_rule", "natural_rule")
|
||||
|
||||
BAIDU_TRANSLATE_ENDPOINT = "https://fanyi-api.baidu.com/api/trans/vip/translate"
|
||||
|
||||
# 百度「通用文本翻译」按账号档位给 QPS:标准版 1 QPS,个人认证 10 QPS,企业认证更高。
|
||||
@@ -78,6 +104,8 @@ BAIDU_TRANSLATE_ENDPOINT = "https://fanyi-api.baidu.com/api/trans/vip/translate"
|
||||
BAIDU_QPS_DEFAULT = 1.0
|
||||
BAIDU_QPS_MIN = 0.1
|
||||
BAIDU_QPS_MAX = 50.0
|
||||
# 百度单块最多 600 字,90 秒与原默认值一致(AI 拆成两套后不再借用它的超时)
|
||||
BAIDU_TIMEOUT_SECONDS = 90
|
||||
|
||||
|
||||
def normalize_baidu_qps(value):
|
||||
@@ -110,6 +138,59 @@ def translation_direction(text):
|
||||
return "to_english" if re.search(r"[\u3400-\u9fff]", str(text or "")) else "to_chinese"
|
||||
|
||||
|
||||
def is_loopback_host(hostname):
|
||||
"""只允许真正的回环地址:127.0.0.0/8、::1、localhost。
|
||||
|
||||
比「私有网段」窄得多 —— 私有网段里还有路由器、NAS、同事的机器,
|
||||
SSRF 正是靠它们横向探测,所以这里一律不放行。
|
||||
"""
|
||||
host = str(hostname or "").strip().lower().rstrip(".")
|
||||
if host in {"localhost", "127.0.0.1", "::1"}:
|
||||
return True
|
||||
try:
|
||||
return ip_address(host).is_loopback
|
||||
except ValueError:
|
||||
return False
|
||||
|
||||
|
||||
def is_public_address(hostname):
|
||||
"""主机名直接写成 IP 时,只放行公网地址;域名不做解析,一律放行。
|
||||
|
||||
挡的是 https://192.168.x.x、https://10.x.x.x、https://169.254.169.254(云元数据)这类
|
||||
「虽然是 https、但仍然指向内网」的直连写法。
|
||||
"""
|
||||
try:
|
||||
return ip_address(hostname).is_global
|
||||
except ValueError:
|
||||
return True
|
||||
|
||||
|
||||
def normalize_ai_base_url(value, *, allow_remote=False):
|
||||
"""校验 AI 地址,返回去掉尾斜杠的原文;不合规直接抛错,不发请求。
|
||||
|
||||
allow_remote=False(Ollama):只能是本机回环地址。
|
||||
allow_remote=True(OpenAI 兼容):https 一律放行,http 只放行本机回环。
|
||||
"""
|
||||
base = str(value or "").strip().rstrip("/")
|
||||
if not base:
|
||||
return ""
|
||||
parsed = urlparse(base)
|
||||
if parsed.scheme not in {"http", "https"} or not parsed.netloc:
|
||||
raise ValueError("API 地址必须是完整的 http:// 或 https:// 地址")
|
||||
if parsed.username or parsed.password:
|
||||
raise ValueError("API 地址中不能包含用户名或密码")
|
||||
if parsed.query or parsed.fragment:
|
||||
raise ValueError("API 地址中不能包含查询参数或片段")
|
||||
loopback = is_loopback_host(parsed.hostname)
|
||||
if not allow_remote and not loopback:
|
||||
raise ValueError("Ollama 地址只能是本机地址(127.0.0.1 / localhost / ::1)")
|
||||
if parsed.scheme == "http" and not loopback:
|
||||
raise ValueError("非本机 API 地址必须使用 HTTPS,避免密钥明文传输")
|
||||
if allow_remote and not loopback and not is_public_address(parsed.hostname):
|
||||
raise ValueError("远端 API 地址不能是内网、保留或链路本地地址")
|
||||
return base
|
||||
|
||||
|
||||
def openai_chat_endpoint(base_url):
|
||||
"""Return a chat-completions endpoint for an OpenAI-compatible base URL."""
|
||||
base = str(base_url or "").strip().rstrip("/")
|
||||
@@ -217,6 +298,35 @@ def sanitize_anima_prompt(value):
|
||||
return text
|
||||
|
||||
|
||||
def sanitize_natural_prompt(value):
|
||||
"""自然语言优化结果的清洗。
|
||||
|
||||
与 sanitize_anima_prompt 的区别:这里要保留完整句子,所以既不把句点改成逗号,
|
||||
也不做 Anima 标点白名单收窄——只挡代码块、转义符、列表符号和残留中文。
|
||||
"""
|
||||
text = str(value or "").strip()
|
||||
fenced = re.fullmatch(r"```(?:text|plaintext)?\s*([\s\S]*?)\s*```", text, re.IGNORECASE)
|
||||
text = fenced.group(1).strip() if fenced else text
|
||||
replacements = {
|
||||
",": ", ", "、": ", ", ";": "; ", "。": ". ",
|
||||
"!": "! ", "?": "? ", ":": ": ",
|
||||
"(": "(", ")": ")", "<": "<", ">": ">", "—": " - ", "–": " - ",
|
||||
"“": '"', "”": '"', """: '"', "‘": "'", "’": "'", "'": "'", "`": "",
|
||||
}
|
||||
for source, target in replacements.items():
|
||||
text = text.replace(source, target)
|
||||
text = re.sub(r"\\+[nrt]", "\n", text)
|
||||
text = text.replace("\\", "")
|
||||
text = re.sub(r"(?m)^\s*(?:[-*•]+|\d+[.)])\s*", "", text)
|
||||
text = re.sub(r"[\r\n]+", " ", text)
|
||||
text = re.sub(r"\s+", " ", text).strip()
|
||||
if re.search(r"[\u3400-\u9fff]", text):
|
||||
raise ValueError("助手返回的自然语言提示词仍包含中文,请调整规则后重试")
|
||||
if not text:
|
||||
raise ValueError("助手返回的自然语言提示词为空")
|
||||
return text
|
||||
|
||||
|
||||
def _default_config_dir():
|
||||
try:
|
||||
import folder_paths
|
||||
@@ -283,17 +393,6 @@ class AssistantStore:
|
||||
def _normalize_base_url(value):
|
||||
return str(value or "").strip().rstrip("/")
|
||||
|
||||
@staticmethod
|
||||
def _is_local_hostname(hostname):
|
||||
host = str(hostname or "").strip().lower().rstrip(".")
|
||||
if host in {"localhost", "host.docker.internal"} or host.endswith(".local") or "." not in host:
|
||||
return True
|
||||
try:
|
||||
address = ip_address(host)
|
||||
return address.is_private or address.is_loopback or address.is_link_local
|
||||
except ValueError:
|
||||
return False
|
||||
|
||||
@classmethod
|
||||
def _credential_binding(cls, provider, base_url):
|
||||
identity = f"{str(provider or '').strip().lower()}\0{cls._normalize_base_url(base_url)}"
|
||||
@@ -303,7 +402,7 @@ class AssistantStore:
|
||||
return {
|
||||
**DEFAULT_CONFIG,
|
||||
"installation_id": self.installation_id,
|
||||
"ai_credential_binding": "",
|
||||
"openai_credential_binding": "",
|
||||
"baidu_credential_binding": "",
|
||||
}
|
||||
|
||||
@@ -334,6 +433,40 @@ class AssistantStore:
|
||||
value["schema_version"] = 3
|
||||
return value
|
||||
|
||||
@classmethod
|
||||
def _migrate_v3(cls, value):
|
||||
"""v3(AI 单槽)→ v4(OpenAI / Ollama 两套独立配置)。
|
||||
|
||||
旧的单槽值整份搬到「当前所选后端」那套,另一套留默认;
|
||||
规则原本不分后端,两套都继承,之后可以各自改。
|
||||
"""
|
||||
if value.get("schema_version", 0) >= 4:
|
||||
return value
|
||||
provider = str(value.get("ai_provider", "openai_compatible")).strip().lower()
|
||||
prefix = AI_PROVIDER_PREFIXES.get(provider, "openai")
|
||||
for source, target in (
|
||||
("ai_base_url", "base_url"),
|
||||
("ai_model", "model"),
|
||||
("ai_temperature", "temperature"),
|
||||
("ai_timeout_seconds", "timeout_seconds"),
|
||||
):
|
||||
if str(value.get(source) or "").strip() != "":
|
||||
value[f"{prefix}_{target}"] = value[source]
|
||||
if prefix == "openai" and str(value.get("ai_api_key") or "").strip():
|
||||
value["openai_api_key"] = value["ai_api_key"]
|
||||
# 绑定的 provider 标记从 openai_compatible 变成 openai,旧值必然对不上;
|
||||
# 直接按新前缀重算,否则密钥会被当成「换了地址」清掉
|
||||
value["openai_credential_binding"] = cls._credential_binding("openai", value.get("openai_base_url", ""))
|
||||
for rule in RULE_KEYS:
|
||||
existing = str(value.get(rule) or "").strip()
|
||||
if existing:
|
||||
for target in ("openai", "ollama"):
|
||||
value.setdefault(f"{target}_{rule}", existing)
|
||||
for key in ("ai_base_url", "ai_model", "ai_temperature", "ai_timeout_seconds", "ai_api_key", "ai_credential_binding"):
|
||||
value.pop(key, None)
|
||||
value["schema_version"] = 4
|
||||
return value
|
||||
|
||||
def config(self):
|
||||
value = {}
|
||||
should_rewrite = False
|
||||
@@ -350,20 +483,27 @@ class AssistantStore:
|
||||
if value and value.get("schema_version", 0) < 3:
|
||||
value = self._migrate_v2(value)
|
||||
should_rewrite = True
|
||||
if value.get("translation_rule") in {LEGACY_DEFAULT_TRANSLATION_RULE, V17_DEFAULT_TRANSLATION_RULE}:
|
||||
value["translation_rule"] = DEFAULT_TRANSLATION_RULE
|
||||
if value and value.get("schema_version", 0) < 4:
|
||||
value = self._migrate_v3(value)
|
||||
should_rewrite = True
|
||||
if value.get("optimization_rule") == LEGACY_DEFAULT_OPTIMIZATION_RULE:
|
||||
value["optimization_rule"] = DEFAULT_OPTIMIZATION_RULE
|
||||
should_rewrite = True
|
||||
if "translate_optimize_rule" not in value:
|
||||
value["translate_optimize_rule"] = DEFAULT_TRANSLATE_OPTIMIZE_RULE
|
||||
# 旧值 "ai" 已拆成两个平级服务:按当时的后端落到 openai_compatible / ollama
|
||||
if value and value.get("translate_service") == "ai":
|
||||
provider = str(value.get("ai_provider") or "openai_compatible").strip().lower()
|
||||
value["translate_service"] = provider if provider in AI_SERVICES else "openai_compatible"
|
||||
should_rewrite = True
|
||||
# 旧版默认规则已废弃:两套各查一次,命中就换成现在的默认
|
||||
for prefix in ("openai", "ollama"):
|
||||
if value.get(f"{prefix}_translation_rule") in {LEGACY_DEFAULT_TRANSLATION_RULE, V17_DEFAULT_TRANSLATION_RULE}:
|
||||
value[f"{prefix}_translation_rule"] = DEFAULT_TRANSLATION_RULE
|
||||
should_rewrite = True
|
||||
if value.get(f"{prefix}_optimization_rule") == LEGACY_DEFAULT_OPTIMIZATION_RULE:
|
||||
value[f"{prefix}_optimization_rule"] = DEFAULT_OPTIMIZATION_RULE
|
||||
should_rewrite = True
|
||||
result = {**self._default_persisted_config(), **value, "installation_id": self.installation_id}
|
||||
# 密钥只在「绑定的后端/地址变了」或「换机器」时清,切翻译服务绝不清
|
||||
if result.get("ai_api_key") and result.get("ai_credential_binding") != self._credential_binding(result["ai_provider"], result["ai_base_url"]):
|
||||
result["ai_api_key"] = ""
|
||||
result["ai_credential_binding"] = ""
|
||||
# 密钥只在「地址变了」或「换机器」时清,切翻译服务 / 切后端绝不清
|
||||
if result.get("openai_api_key") and result.get("openai_credential_binding") != self._credential_binding("openai", result["openai_base_url"]):
|
||||
result["openai_api_key"] = ""
|
||||
result["openai_credential_binding"] = ""
|
||||
should_rewrite = True
|
||||
if result.get("baidu_secret_key") and result.get("baidu_credential_binding") != self._credential_binding("baidu", ""):
|
||||
result["baidu_secret_key"] = ""
|
||||
@@ -381,15 +521,18 @@ class AssistantStore:
|
||||
|
||||
def public_config(self):
|
||||
config = self.config()
|
||||
defaults = {}
|
||||
for prefix in ("openai", "ollama"):
|
||||
defaults[f"default_{prefix}_translation_rule"] = DEFAULT_TRANSLATION_RULE
|
||||
defaults[f"default_{prefix}_translate_optimize_rule"] = DEFAULT_TRANSLATE_OPTIMIZE_RULE
|
||||
defaults[f"default_{prefix}_optimization_rule"] = DEFAULT_OPTIMIZATION_RULE
|
||||
defaults[f"default_{prefix}_natural_rule"] = DEFAULT_NATURAL_RULE
|
||||
return {
|
||||
key: config[key] for key in DEFAULT_CONFIG if key not in ("ai_api_key", "baidu_secret_key")
|
||||
key: config[key] for key in DEFAULT_CONFIG if key not in ("openai_api_key", "baidu_secret_key")
|
||||
} | {
|
||||
"ai_api_key_configured": bool(config.get("ai_api_key")),
|
||||
"openai_api_key_configured": bool(config.get("openai_api_key")),
|
||||
"baidu_secret_key_configured": bool(config.get("baidu_secret_key")),
|
||||
"default_translation_rule": DEFAULT_TRANSLATION_RULE,
|
||||
"default_translate_optimize_rule": DEFAULT_TRANSLATE_OPTIMIZE_RULE,
|
||||
"default_optimization_rule": DEFAULT_OPTIMIZATION_RULE,
|
||||
}
|
||||
} | defaults
|
||||
|
||||
@staticmethod
|
||||
def _clean_rule(value, fallback):
|
||||
@@ -405,45 +548,46 @@ class AssistantStore:
|
||||
raise ValueError("设置必须是对象")
|
||||
current = self.config()
|
||||
translate_service = str(payload.get("translate_service", current["translate_service"])).strip().lower()
|
||||
if translate_service not in {"dictionary", "baidu", "ai"}:
|
||||
raise ValueError("翻译服务仅支持词库、百度翻译或 AI")
|
||||
if translate_service not in TRANSLATE_SERVICES:
|
||||
raise ValueError("翻译服务仅支持词库、百度翻译、OpenAI 兼容接口或 Ollama")
|
||||
ai_provider = str(payload.get("ai_provider", current["ai_provider"])).strip().lower()
|
||||
if ai_provider not in {"openai_compatible", "ollama"}:
|
||||
raise ValueError("AI 后端仅支持 OpenAI 兼容接口或 Ollama")
|
||||
ai_base_url = self._normalize_base_url(payload.get("ai_base_url", current["ai_base_url"]))
|
||||
if ai_base_url:
|
||||
parsed = urlparse(ai_base_url)
|
||||
if parsed.scheme not in {"http", "https"} or not parsed.netloc:
|
||||
raise ValueError("API 地址必须是完整的 http:// 或 https:// 地址")
|
||||
if parsed.username or parsed.password:
|
||||
raise ValueError("API 地址中不能包含用户名或密码")
|
||||
if parsed.query or parsed.fragment:
|
||||
raise ValueError("API 地址中不能包含查询参数或片段")
|
||||
if parsed.scheme == "http" and not self._is_local_hostname(parsed.hostname):
|
||||
raise ValueError("非本机 API 地址必须使用 HTTPS,避免 API Key 明文传输")
|
||||
ai_model = str(payload.get("ai_model", current["ai_model"])).strip()
|
||||
if len(ai_model) > 300:
|
||||
raise ValueError("模型名称过长")
|
||||
try:
|
||||
ai_temperature = float(payload.get("ai_temperature", current["ai_temperature"]))
|
||||
ai_timeout_seconds = int(payload.get("ai_timeout_seconds", current["ai_timeout_seconds"]))
|
||||
except (TypeError, ValueError) as error:
|
||||
raise ValueError("温度和超时时间必须是数字") from error
|
||||
if not 0 <= ai_temperature <= 2:
|
||||
raise ValueError("温度必须在 0 到 2 之间")
|
||||
if not 5 <= ai_timeout_seconds <= 600:
|
||||
raise ValueError("超时时间必须在 5 到 600 秒之间")
|
||||
# AI key:只在「AI 后端/地址变了」或显式清除时清,切翻译服务绝不清
|
||||
ai_endpoint_changed = ai_provider != current["ai_provider"] or ai_base_url != self._normalize_base_url(current["ai_base_url"])
|
||||
ai_api_key = "" if ai_endpoint_changed else current.get("ai_api_key", "")
|
||||
if payload.get("clear_ai_api_key"):
|
||||
ai_api_key = ""
|
||||
elif "ai_api_key" in payload:
|
||||
incoming_key = str(payload.get("ai_api_key") or "").strip()
|
||||
# 选了 OpenAI / Ollama 当翻译服务时,它就是 AI 后端,两者不允许脱节
|
||||
if translate_service in AI_SERVICES:
|
||||
ai_provider = translate_service
|
||||
# 两个后端各一套:地址规则不同(Ollama 只认本机,OpenAI 远端必须 https)
|
||||
openai_base_url = normalize_ai_base_url(payload.get("openai_base_url", current["openai_base_url"]), allow_remote=True)
|
||||
ollama_base_url = normalize_ai_base_url(payload.get("ollama_base_url", current["ollama_base_url"]))
|
||||
if not ollama_base_url:
|
||||
ollama_base_url = DEFAULT_CONFIG["ollama_base_url"]
|
||||
models = {}
|
||||
numbers = {}
|
||||
for prefix in ("openai", "ollama"):
|
||||
models[prefix] = str(payload.get(f"{prefix}_model", current[f"{prefix}_model"])).strip()
|
||||
if len(models[prefix]) > 300:
|
||||
raise ValueError("模型名称过长")
|
||||
try:
|
||||
numbers[prefix] = (
|
||||
float(payload.get(f"{prefix}_temperature", current[f"{prefix}_temperature"])),
|
||||
int(payload.get(f"{prefix}_timeout_seconds", current[f"{prefix}_timeout_seconds"])),
|
||||
)
|
||||
except (TypeError, ValueError) as error:
|
||||
raise ValueError("温度和超时时间必须是数字") from error
|
||||
if not 0 <= numbers[prefix][0] <= 2:
|
||||
raise ValueError("温度必须在 0 到 2 之间")
|
||||
if not 5 <= numbers[prefix][1] <= 600:
|
||||
raise ValueError("超时时间必须在 5 到 600 秒之间")
|
||||
# OpenAI key:只在「地址变了」或显式清除时清,切翻译服务 / 切后端绝不清
|
||||
openai_api_key = "" if openai_base_url != self._normalize_base_url(current["openai_base_url"]) else current.get("openai_api_key", "")
|
||||
if payload.get("clear_openai_api_key"):
|
||||
openai_api_key = ""
|
||||
elif "openai_api_key" in payload:
|
||||
incoming_key = str(payload.get("openai_api_key") or "").strip()
|
||||
if incoming_key and incoming_key != "••••••••":
|
||||
if len(incoming_key) > 4096:
|
||||
raise ValueError("API Key 过长")
|
||||
ai_api_key = incoming_key
|
||||
openai_api_key = incoming_key
|
||||
baidu_appid = str(payload.get("baidu_appid", current.get("baidu_appid", ""))).strip()
|
||||
if len(baidu_appid) > 128:
|
||||
raise ValueError("百度 APP ID 过长")
|
||||
@@ -458,7 +602,7 @@ class AssistantStore:
|
||||
raise ValueError("百度密钥过长")
|
||||
baidu_secret = incoming_secret
|
||||
baidu_qps = normalize_baidu_qps(payload.get("baidu_qps", current.get("baidu_qps", BAIDU_QPS_DEFAULT)))
|
||||
ai_credential_binding = self._credential_binding(ai_provider, ai_base_url) if ai_api_key else ""
|
||||
openai_credential_binding = self._credential_binding("openai", openai_base_url) if openai_api_key else ""
|
||||
baidu_credential_binding = self._credential_binding("baidu", "") if baidu_secret else ""
|
||||
appearance = str(payload.get("appearance", current.get("appearance", "auto"))).strip().lower()
|
||||
if appearance not in {"auto", "dark", "light"}:
|
||||
@@ -467,37 +611,34 @@ class AssistantStore:
|
||||
if language not in {"auto", "zh", "en"}:
|
||||
raise ValueError("界面语言仅支持 auto / zh / en")
|
||||
result = {
|
||||
"schema_version": 3,
|
||||
"schema_version": 4,
|
||||
"translate_service": translate_service,
|
||||
"ai_provider": ai_provider,
|
||||
"ai_base_url": ai_base_url,
|
||||
"ai_model": ai_model,
|
||||
"ai_api_key": ai_api_key,
|
||||
"ai_temperature": ai_temperature,
|
||||
"ai_timeout_seconds": ai_timeout_seconds,
|
||||
"openai_base_url": openai_base_url,
|
||||
"openai_model": models["openai"],
|
||||
"openai_api_key": openai_api_key,
|
||||
"openai_temperature": numbers["openai"][0],
|
||||
"openai_timeout_seconds": numbers["openai"][1],
|
||||
"ollama_base_url": ollama_base_url,
|
||||
"ollama_model": models["ollama"],
|
||||
"ollama_temperature": numbers["ollama"][0],
|
||||
"ollama_timeout_seconds": numbers["ollama"][1],
|
||||
"baidu_appid": baidu_appid,
|
||||
"baidu_secret_key": baidu_secret,
|
||||
"baidu_qps": baidu_qps,
|
||||
"appearance": appearance,
|
||||
"language": language,
|
||||
"translation_rule": self._clean_rule(payload.get("translation_rule"), current["translation_rule"]),
|
||||
"translate_optimize_rule": self._clean_rule(payload.get("translate_optimize_rule"), current["translate_optimize_rule"]),
|
||||
"optimization_rule": self._clean_rule(payload.get("optimization_rule"), current["optimization_rule"]),
|
||||
"installation_id": self.installation_id,
|
||||
"ai_credential_binding": ai_credential_binding,
|
||||
"baidu_credential_binding": baidu_credential_binding,
|
||||
"openai_credential_binding": openai_credential_binding,
|
||||
"installation_id": self.installation_id,
|
||||
}
|
||||
# 规则两套,各取各自的当前值兜底
|
||||
for prefix in ("openai", "ollama"):
|
||||
for rule in RULE_KEYS:
|
||||
result[f"{prefix}_{rule}"] = self._clean_rule(payload.get(f"{prefix}_{rule}"), current[f"{prefix}_{rule}"])
|
||||
self._write_json_atomic(self.config_path, result)
|
||||
return self.public_config()
|
||||
|
||||
def reset_rules(self):
|
||||
config = self.config()
|
||||
config["translation_rule"] = DEFAULT_TRANSLATION_RULE
|
||||
config["translate_optimize_rule"] = DEFAULT_TRANSLATE_OPTIMIZE_RULE
|
||||
config["optimization_rule"] = DEFAULT_OPTIMIZATION_RULE
|
||||
self._write_json_atomic(self.config_path, config)
|
||||
return self.public_config()
|
||||
|
||||
|
||||
def dictionary_translate(text, dictionary_store):
|
||||
parts = [part.strip() for part in re.split(r"[,,、\r\n]+", str(text or "")) if part.strip()]
|
||||
|
||||
+13
-7
@@ -33,11 +33,13 @@
|
||||
- `server.py`
|
||||
- 注册助手、个人词库、词库包和大型词库的本地接口。
|
||||
- 执行同源检查、临时会话令牌校验、请求体限制、助手频率限制和并发限制。
|
||||
- 只在用户主动调用时访问配置的百度翻译或 AI(OpenAI 兼容 / Ollama)服务;"翻译并优化"与"优化为 Anima"恒走 AI,翻译/解释按 `translate_service` 选择。
|
||||
- 只在用户主动调用时访问配置的百度翻译或 AI(OpenAI 兼容 / Ollama)服务;"翻译并优化"与"优化"恒走 AI,翻译/解释按 `translate_service` 选择。
|
||||
- `UpstreamGate` 负责上游输入的挂起:按节点 id 保存一个 future,只能被 `/bpi/upstream/{ack,resume,cancel}` 唤醒。等待循环每 0.5 秒检查一次 ComfyUI 中断,无人接管时到点自动透传。唤醒一律走 `loop.call_soon_threadsafe`——future 属于执行线程的 loop,而路由跑在主线程。
|
||||
- `assistant_store.py`
|
||||
- 保存翻译服务类型(schema v3:`translate_service` = dictionary / baidu / ai)、AI 后端与地址模型、百度 APP ID 与密钥、三套规则和独立留存的 AI Key 与百度密钥。
|
||||
- AI Key 与百度密钥互不干扰:切换翻译服务不清任一密钥;AI Key 只在 AI 后端/地址变更或换机器时清,百度密钥只在显式清除时清。
|
||||
- 保存翻译服务类型(schema v4:`translate_service` = dictionary / baidu / openai_compatible / ollama;后两个同时是 AI 后端,选前两个时由 `ai_provider` 决定优化走哪一套)、两套 AI 配置(OpenAI 兼容 / Ollama 各一套地址、模型、温度、超时与四条规则)、百度 APP ID 与密钥,以及独立留存的 AI Key 与百度密钥。
|
||||
- 四条规则是翻译 / 翻译并优化 / 优化 / 自然语言。前三条产出 Anima 标签流,走 `sanitize_anima_prompt`(句点收成逗号、标点只放行白名单);自然语言那条产出完整英文句子,走 `sanitize_natural_prompt`,两者不能混用。
|
||||
- 读到旧值 `translate_service = "ai"` 时按当时的 `ai_provider` 拆成 `openai_compatible` / `ollama` 并回写。
|
||||
- AI Key 与百度密钥互不干扰:切换翻译服务或 AI 后端不清任一密钥;AI Key 只在地址变更或换机器时清,百度密钥只在显式清除时清。
|
||||
- 旧 v2 配置(单一 `provider`)自动迁移至 v3,密钥与绑定原样搬入 `ai_*` 槽。
|
||||
- API Key 不通过读取接口返回前端;公开配置只返回 `ai_api_key_configured` 与 `baidu_secret_key_configured` 布尔值。
|
||||
- 负责翻译方向判断、纯词库翻译和 Anima 输出标点清理。
|
||||
@@ -58,8 +60,11 @@
|
||||
- `openSavePromptDialog` 用 multipart 一次提交名称、备注与图片文件,正文只读展示,保存成功后回调刷新侧边栏。
|
||||
- `openManagerPanel` 通过 ComfyUI 侧边栏 API 打开管理面板,可指定定位分页与目标节点。
|
||||
- `js/manager_panel.js`
|
||||
- 在 ComfyUI 侧边栏注册「双语提示词管理」面板,包含标签管理、词库、词库包、助手设置、收藏五个分页。
|
||||
- 承担原节点内管理弹窗的全部职责:词条增删改、批量操作、个人词库导入导出、社区包与大型词库管理、助手服务与 API Key 配置。
|
||||
- 在 ComfyUI 侧边栏注册「双语提示词管理」面板,包含标签管理、词库、词库包、收藏四个分页。
|
||||
- 承担原节点内管理弹窗的全部职责:词条增删改、批量操作、个人词库导入导出、社区包与大型词库管理。
|
||||
- 助手设置不在侧边栏:同一文件的 `registerExtension` 用 `settings` 在 ComfyUI「设置」面板的「双语提示词检查器」分类下注册两项 ——「语言与外观」(`appearanceControl()`)与「助手设置」(`assistantSettingsControl()`),表单都直接内嵌在设置面板右侧,配置仍写入 `assistant_store.py`。面板反复渲染会重建控件容器,所以每项的整块 DOM 只建一次后复用,避免输入到一半被清空。
|
||||
- 语言与外观只提交 `appearance` / `language` 两个字段:`assistant_store.update()` 对 payload 里没给的字段一律取当前值,所以不会动翻译服务与密钥;助手设置的 payload 反过来已经不含这两项。
|
||||
- AI 两个后端各一整套配置(地址 / 模型 / 温度 / 超时 / 三条规则),键名前缀 `openai_` 与 `ollama_`,`ai_provider` 只决定当前读哪一套;切换后端不清空任何一套。地址白名单在 `assistant_store.normalize_ai_base_url()`:OpenAI 远端必须 https、http 仅限本机回环,Ollama 只认本机回环,且 `server.py` 发请求前会再校验一次(防手改配置文件)。
|
||||
- “标签管理”分页通过节点下拉列表挂载指定节点的标签翻译与词库搜索界面(DOM 直接移植,逻辑仍归属各节点闭包),节点删除时自动摘下。
|
||||
- 修改后通过 `panelSyncHub` 通知当前页面所有节点刷新。
|
||||
- “收藏”分页按需挂载并监听 `bpi:saved-prompts-changed`:卡片支持搜索、复制、删除、导出导入;「新建」没有选中节点时弹出节点选择器;「载入节点」先确认再调目标节点的 `_bilingualPromptInspector.setText`,覆盖不进 undo 栈。
|
||||
@@ -68,7 +73,7 @@
|
||||
- 标签排序是结构化编辑:英文标签区支持指针拖拽(4px 阈值区分点击与拖动,拖动后吞掉 click/dblclick),明细表行首提供 `⠿` 手柄(带插入指示线与边缘自动滚动),`Alt+↑/↓` 键盘微调;三个入口都汇入同一个 `moveTokenTo` → `movePromptToken` → undo 栈管线。
|
||||
- 标签隐藏(临时排除出实际输出)只是“打标记”:标签留在文本里,卡片与明细行加删除线并灰化褪色,拖动/双击改权重/改色照常;剔除发生在输出时——`syncEffectiveOutput` 把去掉隐藏标签的文本同步进隐藏 widget `effective_text`(并置 `use_effective`),`nodes.py` 按它输出,旧工作流没有这两个 widget 时默认直通。明细表行内眼睛图标、英文标签 hover 浮出的眼睛角标在隐藏后变为眼睛斜线(取消隐藏);明细表下方与英文标签区下方的“已隐藏”条负责逐个/全部恢复;清单存在 `node.properties.bpiHiddenTags`(随工作流保存),每次编辑把清单快照写进 undo 条目,撤销时文本与清单一起回滚。旧版工作流里当时被物理删除的隐藏标签,恢复时仍按旧锚点插回文本。
|
||||
- 标签翻译与词库搜索(标签管理)不再渲染进节点,其 DOM 由侧边栏“标签管理”分页挂载,节点高度恒为折叠尺寸。
|
||||
- 管理功能收敛为「标签管理」「助手设置」等入口按钮,打开侧边栏面板对应分页并定位到本节点。
|
||||
- 管理功能收敛为「标签管理」等入口按钮,打开侧边栏面板对应分页并定位到本节点。
|
||||
- 上游输入条(`.bpi-source-bar`)只在 `prompt` 端口真的连上时才渲染,未连线时零高度、界面与旧版一致。条内含接管开关、导入策略下拉和状态文案,等待确认时额外出现「继续运行」「放弃」。开关与策略存在 `node.properties.bpiUpstream`(随工作流保存);放行时把节点当前文本 POST 回后端,因此输出始终等于放行那一刻节点上的内容。
|
||||
- `js/parser.js`
|
||||
- 非破坏性切分标签,保留原始字符位置。
|
||||
@@ -113,7 +118,8 @@ ComfyUI 原生 text 控件(工作流真值)
|
||||
|
||||
```text
|
||||
绿色草稿框
|
||||
→ 用户点击仅翻译 / 翻译并优化 / 优化为 Anima
|
||||
→ 用户点击仅翻译 / 翻译并优化 / 优化
|
||||
→ 自然语言模式下「优化」改用 optimize_natural,走自然语言规则
|
||||
→ /bpi/assistant/run
|
||||
→ 纯词库、百度翻译或 AI(OpenAI 兼容 / Ollama)
|
||||
→ 结果写回绿色暂存区
|
||||
|
||||
@@ -16,9 +16,9 @@
|
||||
|
||||
## 3. 翻译、优化和同步必须分阶段
|
||||
|
||||
决定:设置“仅翻译”“翻译并优化”“优化为 Anima”“同步到英文输出”四个独立动作。
|
||||
决定:设置“仅翻译”“翻译并优化”“优化”“同步到英文输出”四个独立动作。
|
||||
|
||||
原因:翻译与提示词创作不是同一任务。用户需要看见模型做了什么,并决定是否覆盖实际输出。每个动作使用独立规则,避免一个通用提示词同时承担忠实翻译、扩写和格式整理而行为混乱。
|
||||
原因:翻译与提示词创作不是同一任务。用户需要看见模型做了什么,并决定是否覆盖实际输出。每个动作使用独立规则,避免一个通用提示词同时承担忠实翻译、扩写和格式整理而行为混乱。“优化”会按当前输入模式分派不同规则,见第 19 条。
|
||||
|
||||
## 4. Anima 排序只在按下按钮后执行
|
||||
|
||||
@@ -116,3 +116,13 @@
|
||||
- GitHub 首个公开正式 Release 使用 `v1.0.0`。
|
||||
- 后续发布应使用语义化版本号,不要把内部演进代次和公开版本号混为一谈。
|
||||
- 兼容修复递增补丁号;向后兼容的新功能递增次版本;破坏工作流或数据格式时才递增主版本,并提供迁移说明。
|
||||
|
||||
## 19. “优化”按输入模式分派,而不是再加一个按钮
|
||||
|
||||
决定:节点顶部只保留一个“优化”按钮。标签模式下走 Anima 优化规则(只接受英文),自然语言模式下走独立的自然语言规则(中文先译后整理);模式切到“自然语言”时“按 Anima 顺序排序”隐藏。
|
||||
|
||||
原因:Krea、FLUX 一类新模型直接吃自然语言,再加一个按钮只会让顶部操作越排越长。模式下拉已经能判定当前是标签流还是整段句子,用它分派比让用户记两个按钮省事;排序只重排标签流,对整段句子没有意义,留着反而误导。
|
||||
|
||||
两套规则必须分开:`sanitize_anima_prompt` 会把句点收成逗号并只放行 Anima 标点白名单,完整句子喂进去会被判废,所以自然语言结果改走 `sanitize_natural_prompt`。
|
||||
|
||||
代价:已经排过序时要保留排序按钮,否则“取消排序”的入口会跟着一起消失。另外 mixed(标签 + 自然语言)不算自然语言模式——里面还有标签流可排。
|
||||
|
||||
+436
-94
@@ -11,6 +11,7 @@ import {
|
||||
replacePromptSpan,
|
||||
replacePromptTokenWeight,
|
||||
restorePromptToken,
|
||||
UNKNOWN_CHINESE,
|
||||
validateTranslationResult,
|
||||
} from "./parser.js";
|
||||
import {
|
||||
@@ -40,7 +41,6 @@ import {
|
||||
loadTokenColors,
|
||||
buildColorPanel,
|
||||
lookupLargeDictionary,
|
||||
openManagerPanel,
|
||||
openSavePromptDialog,
|
||||
openTagDialog,
|
||||
postUpstreamAction,
|
||||
@@ -57,9 +57,14 @@ import {
|
||||
} from "./bpi_shared.js";
|
||||
|
||||
const NODE_NAME = "BilingualPromptInspector";
|
||||
const EXTENSION_VERSION = "v2.0.0";
|
||||
const EXTENSION_VERSION = "v2.1.8";
|
||||
const PROJECT_URL = "https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector";
|
||||
const COLLAPSED_WIDGET_FALLBACK_HEIGHT = 390;
|
||||
// 「适应高度」打开后面板能长到的上限。ComfyUI 按 min/max 分配空间,max 必须明显高于 min,
|
||||
// 否则手动拉大节点多出来的高度全变成空白(distributeSpace 只会在 min..max 之间给)。
|
||||
const EXPANDED_WIDGET_MAX_HEIGHT = 1600;
|
||||
// 打开开关时至少给节点加这么高,保证「点了有反应」;内容被压掉更多时按实际差值撑
|
||||
const FILL_HEIGHT_MIN_GROWTH = 200;
|
||||
const COLLAPSED_NODE_MIN_HEIGHT = 360;
|
||||
const IMPORT_POLICIES = [
|
||||
{ value: "changed", label: "Import: on content change" },
|
||||
@@ -132,17 +137,25 @@ function createPanel(node, textWidget) {
|
||||
const insertBreakButton = element("button", "bpi-button bpi-mini", "Insert line break");
|
||||
// 中文不再单独占一块:每个英文标签下面直接跟一行中文,构成一张双语小卡。
|
||||
// 翻译类动作已移到侧边栏,节点里只保留「直接作用于英文提示词」的这两个。
|
||||
const optimizeChineseButton = element("button", "bpi-button bpi-mini", "Optimize to Anima");
|
||||
const optimizeButton = element("button", "bpi-button bpi-mini", "Optimize");
|
||||
const sortPromptButton = element("button", "bpi-button bpi-mini", "Sort by Anima order");
|
||||
// 「适应高度」:把面板高度从写死的上限里放出来,让提示词区跟着节点一起变高。
|
||||
// 做成滑动开关(和设置面板里同款,只是用主题色而不是危险色),放在明细表上方的筛选栏里。
|
||||
const fillSwitchRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const fillSwitch = element("input", "bpi-switch");
|
||||
fillSwitch.type = "checkbox";
|
||||
const fillTrack = element("span", "bpi-switch-track");
|
||||
fillTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
fillSwitchRow.append(fillSwitch, fillTrack, element("span", "bpi-switch-text", "Fit height"));
|
||||
editEnglishButton.type = "button";
|
||||
clearEnglishButton.type = "button";
|
||||
favoriteButton.type = "button";
|
||||
insertBreakButton.type = "button";
|
||||
optimizeChineseButton.type = "button";
|
||||
optimizeButton.type = "button";
|
||||
sortPromptButton.type = "button";
|
||||
setTitle(favoriteButton, "Save the current English prompt to favorites in the user directory (a reference image can be attached)");
|
||||
setTitle(insertBreakButton, "Insert a line break after the selected tag, or at the end when no tag is selected");
|
||||
englishHead.append(englishTitle, englishHint, editEnglishButton, clearEnglishButton, insertBreakButton, favoriteButton, optimizeChineseButton, sortPromptButton);
|
||||
englishHead.append(englishTitle, englishHint, editEnglishButton, clearEnglishButton, insertBreakButton, favoriteButton, optimizeButton, sortPromptButton);
|
||||
const englishTokenView = element("div", "bpi-english-token-view bpi-hidden");
|
||||
englishTokenView.tabIndex = 0;
|
||||
englishTokenView.setAttribute("role", "textbox");
|
||||
@@ -201,6 +214,21 @@ function createPanel(node, textWidget) {
|
||||
// 机器翻译批量入库操作栏:只在表格里出现机器翻译词条时才显示(详见 renderMachineBatchBar)
|
||||
const machineBatchBar = element("div", "bpi-filters bpi-batch-bar bpi-hidden");
|
||||
const table = element("div", "bpi-table");
|
||||
// 明细表查找:只筛视图,不动提示词。视觉上跟表格扣成一块(上圆角、无下边框),
|
||||
// 好跟上面那个「搜词库插标签」的输入框区分开——那个改提示词,这个不改。
|
||||
const tableSearch = element("div", "bpi-table-search");
|
||||
const tableSearchIcon = element("span", "bpi-table-search-icon");
|
||||
tableSearchIcon.innerHTML = '<svg viewBox="0 0 12 12" width="11" height="11" fill="none" stroke="currentColor" stroke-width="1.4"><circle cx="5" cy="5" r="3.3"/><path d="M7.5 7.5 10.6 10.6"/></svg>';
|
||||
const tableSearchInput = element("input", "bpi-search bpi-table-search-input");
|
||||
// 不用 type=search:Chrome 会再画一个原生清除按钮,跟我们自己的 × 重复
|
||||
tableSearchInput.type = "text";
|
||||
setPlaceholder(tableSearchInput, "Find in the current prompt");
|
||||
setTitle(tableSearchInput, "Filter the detail list by keyword; matches the English original or the Chinese explanation; the prompt itself never changes");
|
||||
const tableSearchCount = element("span", "bpi-table-search-count");
|
||||
const tableSearchClear = element("button", "bpi-table-search-clear", "×");
|
||||
tableSearchClear.type = "button";
|
||||
setTitle(tableSearchClear, "Clear search");
|
||||
tableSearch.append(tableSearchIcon, tableSearchInput, tableSearchCount, tableSearchClear);
|
||||
const head = element("div", "bpi-head");
|
||||
head.append(element("div", "", "English original (actual output)"), element("div", "", "Chinese explanation (read-only)"));
|
||||
// 表头分界处的抓手:拖动改左右两栏比例。比例写在表格的 --bpi-split 变量上,
|
||||
@@ -259,6 +287,13 @@ function createPanel(node, textWidget) {
|
||||
option.value = value;
|
||||
modeSelect.appendChild(option);
|
||||
}
|
||||
// 模式跟着节点存:工作流保存后重开仍是上次选的那一档,没存过就回到自动检测
|
||||
const storedMode = () => {
|
||||
const value = node.properties?.bpiMode;
|
||||
return ["tags", "natural"].includes(value) ? value : "auto";
|
||||
};
|
||||
// 「适应高度」也跟着节点存:工作流重开后仍是上次那个状态
|
||||
const storedFillHeight = () => node.properties?.bpiFillHeight === true;
|
||||
|
||||
const state = {
|
||||
data: { tags: [], builtin: [], user: [], packs: [] },
|
||||
@@ -271,13 +306,16 @@ function createPanel(node, textWidget) {
|
||||
selected: new Set(),
|
||||
lastText: null,
|
||||
renderTimer: null,
|
||||
modePreference: "auto",
|
||||
modePreference: storedMode(),
|
||||
fillHeight: storedFillHeight(),
|
||||
modeInfo: { mode: "tags", reason: "Empty input", confidence: "high" },
|
||||
issues: [],
|
||||
localOverrides: new Map(),
|
||||
editing: null,
|
||||
preferences: loadPreferences(),
|
||||
tableFilter: "all",
|
||||
// 明细表查找词:只筛视图,不进任何持久化数据
|
||||
tableQuery: "",
|
||||
filterButtons: new Map(),
|
||||
// 表格里勾选待入库的机器翻译词条,只存 token.key
|
||||
batchSelected: new Set(),
|
||||
@@ -305,6 +343,9 @@ function createPanel(node, textWidget) {
|
||||
searchVisibleLimit: 40,
|
||||
lastRenderedSearchQuery: "",
|
||||
categoryView: false,
|
||||
// 「按 Anima 顺序排序」写入后留一份快照 { before, after },按钮据此变成「取消排序」;
|
||||
// 用户又手动改了文本就作废(见 render),避免回退把他后来的改动一起吞掉
|
||||
animaSortSnapshot: null,
|
||||
// 节点标签卡颜色模式:default(不着色)| status(按收录:未收录淡橙、机器翻译淡紫、已收录不变)
|
||||
// | random(从 token_colors.json 摇色)| by_pack(按标签所在词库取 pack_colors)
|
||||
colorMode: localStorage.getItem("bpi.colorMode") || "default",
|
||||
@@ -346,6 +387,12 @@ function createPanel(node, textWidget) {
|
||||
};
|
||||
const autoFitGreenArea = (target, minimum) => {
|
||||
if (!target || target.classList.contains("bpi-hidden")) return;
|
||||
// 适应高度模式下高度交给 flex;这里再写死 height 会把刚放开的上限又按回去
|
||||
if (state.fillHeight) {
|
||||
target.style.height = "";
|
||||
target.style.overflowY = "auto";
|
||||
return;
|
||||
}
|
||||
const maximum = 360;
|
||||
target.style.height = "auto";
|
||||
const height = Math.max(minimum, Math.min(maximum, Math.ceil(target.scrollHeight + 2)));
|
||||
@@ -419,9 +466,20 @@ function createPanel(node, textWidget) {
|
||||
if (state.resizeFrame !== null) cancelAnimationFrame(state.resizeFrame);
|
||||
state.resizeFrame = requestAnimationFrame(() => {
|
||||
state.resizeFrame = null;
|
||||
const width = Math.max(node.size?.[0] ?? 0, 590);
|
||||
// 适应高度模式:高度归用户,只同步宽度。这里绝不能按内容重算——
|
||||
// 英文区一变高就会推高自动高度、再推高节点、英文区又更高,越滚越大。
|
||||
if (state.fillHeight) {
|
||||
if (Math.abs((node.size?.[0] ?? 0) - width) > 0.5) {
|
||||
node.setSize?.([width, Number(node.size?.[1]) || COLLAPSED_NODE_MIN_HEIGHT]);
|
||||
node.graph?.change?.();
|
||||
}
|
||||
node.graph?.setDirtyCanvas?.(true, true);
|
||||
app.graph?.setDirtyCanvas?.(true, true);
|
||||
return;
|
||||
}
|
||||
state.collapsedWidgetHeight = measureCollapsedWidgetHeight();
|
||||
panel.style.setProperty("--bpi-collapsed-height", `${state.collapsedWidgetHeight}px`);
|
||||
const width = Math.max(node.size?.[0] ?? 0, 590);
|
||||
// 稳定基线 = 标题栏 + 原生 text 控件的真实内容高度。
|
||||
// 绝不能读 inspectorWidget().y(= bilingual_inspector.y)——那是 ComfyUI arrange
|
||||
// 从 text.computedHeight 派生的,而 text.computedHeight 在「setSize 变高 → 文本框
|
||||
@@ -447,16 +505,74 @@ function createPanel(node, textWidget) {
|
||||
fallbackBaseHeight: state.nodeBaseHeight ?? 96,
|
||||
minimumHeight: COLLAPSED_NODE_MIN_HEIGHT,
|
||||
});
|
||||
// 高度只补不缩:用户把节点拉大之后,任何一次 render 都不该把它拽回自动高度,
|
||||
// 否则「拉大 → 改一个字 → 被打回原形」,拉大等于白拉。宽度仍按最小可用宽度收敛。
|
||||
const currentHeight = Number(node.size?.[1]) || 0;
|
||||
const nextHeight = Math.max(targetHeight, currentHeight);
|
||||
const sizeChanged = Math.abs((node.size?.[0] ?? 0) - width) > 0.5
|
||||
|| Math.abs((node.size?.[1] ?? 0) - targetHeight) > 0.5;
|
||||
|| Math.abs(currentHeight - nextHeight) > 0.5;
|
||||
if (sizeChanged) {
|
||||
node.setSize?.([width, targetHeight]);
|
||||
node.setSize?.([width, nextHeight]);
|
||||
node.graph?.change?.();
|
||||
}
|
||||
node.graph?.setDirtyCanvas?.(true, true);
|
||||
app.graph?.setDirtyCanvas?.(true, true);
|
||||
});
|
||||
};
|
||||
|
||||
// 量出英文标签区「没被 360 压住时」的真实高度:临时解除上限读 scrollHeight 再恢复
|
||||
const measureNaturalEnglishHeight = () => {
|
||||
const previousHeight = englishTokenView.style.height;
|
||||
const previousMax = englishTokenView.style.maxHeight;
|
||||
englishTokenView.style.height = "auto";
|
||||
englishTokenView.style.maxHeight = "none";
|
||||
const natural = englishTokenView.scrollHeight;
|
||||
englishTokenView.style.height = previousHeight;
|
||||
englishTokenView.style.maxHeight = previousMax;
|
||||
return natural;
|
||||
};
|
||||
|
||||
// 打开开关时把节点撑高一次,撑的量 = 被压掉的内容高度,但至少给一个看得出变化的量
|
||||
const growNodeForFill = () => {
|
||||
if (!hasNodeSize()) return;
|
||||
const natural = measureNaturalEnglishHeight();
|
||||
const extra = Math.max(FILL_HEIGHT_MIN_GROWTH, Math.ceil(natural - englishTokenView.offsetHeight));
|
||||
const height = Math.min((Number(node.size?.[1]) || COLLAPSED_NODE_MIN_HEIGHT) + extra, 2400);
|
||||
node.setSize?.([Math.max(node.size?.[0] ?? 0, 590), height]);
|
||||
node.graph?.change?.();
|
||||
};
|
||||
|
||||
const setFillHeight = (next) => {
|
||||
const fill = Boolean(next);
|
||||
if (fill === state.fillHeight) return;
|
||||
state.fillHeight = fill;
|
||||
if (!node.properties || typeof node.properties !== "object") node.properties = {};
|
||||
node.properties.bpiFillHeight = fill;
|
||||
panel.classList.toggle("bpi-fill", fill);
|
||||
fillSwitch.checked = fill;
|
||||
setTitle(fillSwitchRow, fill
|
||||
? "Back to the automatic height; the prompt area stops following the node"
|
||||
: "Let the prompt area grow with the node instead of being capped");
|
||||
if (fill) {
|
||||
// 先放开限制再撑高,撑完重排一次让英文区吃到新空间
|
||||
growNodeForFill();
|
||||
requestNodeResize();
|
||||
} else {
|
||||
state.collapsedWidgetHeight = measureCollapsedWidgetHeight();
|
||||
panel.style.setProperty("--bpi-collapsed-height", `${state.collapsedWidgetHeight}px`);
|
||||
if (hasNodeSize()) {
|
||||
const baseHeight = state.nodeBaseHeight ?? 96;
|
||||
node.setSize?.([Math.max(node.size?.[0] ?? 0, 590), Math.max(inspectorNodeTargetHeight({
|
||||
baseHeight,
|
||||
targetWidgetHeight: state.collapsedWidgetHeight,
|
||||
fallbackBaseHeight: state.nodeBaseHeight ?? 96,
|
||||
minimumHeight: COLLAPSED_NODE_MIN_HEIGHT,
|
||||
}), COLLAPSED_NODE_MIN_HEIGHT)]);
|
||||
node.graph?.change?.();
|
||||
}
|
||||
}
|
||||
render();
|
||||
};
|
||||
const isFavorite = (english) => state.preferences.favorites.includes(normalizeKey(english));
|
||||
const changeFavorite = (english) => {
|
||||
state.preferences = toggleFavorite(state.preferences, english);
|
||||
@@ -606,6 +722,7 @@ function createPanel(node, textWidget) {
|
||||
}
|
||||
if (before === after) {
|
||||
if (label === "Anima official sort") {
|
||||
state.animaSortSnapshot = { before, after };
|
||||
state.categoryView = true;
|
||||
render();
|
||||
setText(englishHint, "Category table view | click tags to link; category names are not written to the prompt");
|
||||
@@ -639,6 +756,8 @@ function createPanel(node, textWidget) {
|
||||
setText(editEnglishButton, "Edit text");
|
||||
setText(englishHint, "");
|
||||
updateText(after);
|
||||
// 排序落盘后记住排序前那一版,按钮才好变成「取消 Anima 顺序排序」
|
||||
if (label === "Anima official sort") state.animaSortSnapshot = { before, after };
|
||||
setStatus(`applied “${label}”; press Ctrl+Z to undo`, "ok");
|
||||
return true;
|
||||
};
|
||||
@@ -706,7 +825,7 @@ function createPanel(node, textWidget) {
|
||||
if (detailNode) modal.appendChild(detailNode);
|
||||
const actions = element("div", "bpi-modal-actions");
|
||||
const close = () => shade.remove();
|
||||
actions.append(button("Cancel", close), button("Confirm write English", () => {
|
||||
actions.append(button("Cancel", close), button("Confirm write new prompt", () => {
|
||||
if (applyFullText(after.value, label)) close();
|
||||
}, "bpi-primary"));
|
||||
modal.appendChild(actions);
|
||||
@@ -747,6 +866,17 @@ function createPanel(node, textWidget) {
|
||||
// 多选名单(按原文顺序);单选时就是 pinned 那一个
|
||||
const selectedTokenList = () => state.tokens.filter((token) => state.selected.has(token.id));
|
||||
|
||||
// 多选看着选中的范围 = 最前与最后之间的整段,和双击编辑的范围一致。
|
||||
// ctrl 点第 1、第 3 个时第 2 个虽然没被点到,但也在编辑范围里,要一起显示成选中
|
||||
const inSelectionSpan = (token) => {
|
||||
if (state.selected.size <= 1) return false;
|
||||
const list = selectedTokenList();
|
||||
if (!list.length) return false;
|
||||
const start = Math.min(...list.map((item) => item.start));
|
||||
const end = Math.max(...list.map((item) => item.end));
|
||||
return token.start >= start && token.end <= end;
|
||||
};
|
||||
|
||||
// 双击编辑的范围:选中那几个 token 在原文里的整段,中间的标签一并进来
|
||||
const spanForEdit = (token) => {
|
||||
const list = selectedTokenList();
|
||||
@@ -1400,30 +1530,38 @@ function createPanel(node, textWidget) {
|
||||
};
|
||||
|
||||
const openWeightEditor = (token) => {
|
||||
if (!token || token.syntax !== "tag" || token.segmentKind === "natural" ||
|
||||
!["tags", "mixed"].includes(state.modeInfo.mode)) {
|
||||
setStatus("Only tags support individual weights; use text editing for natural language", "error");
|
||||
return;
|
||||
}
|
||||
if (!token) return;
|
||||
// 自然语言片段(以及 BREAK、<lora:…> 这类特殊语法)没有独立权重、也没有词条,
|
||||
// 所以这两个页签按 token 形态收起来,但弹窗照开:配色和整段编辑对它们一样有用
|
||||
const isPlainTag = token.syntax === "tag" && token.segmentKind !== "natural";
|
||||
const canWeight = isPlainTag && ["tags", "mixed"].includes(state.modeInfo.mode);
|
||||
const shade = element("div", "bpi-modal-shade");
|
||||
const modal = element("div", "bpi-modal");
|
||||
// 这两句直接写中文:带变量 + 固定术语,走翻译层反而匹配不上,界面必须中文
|
||||
modal.appendChild(element("h3", "", `编辑标签:${token.term}`));
|
||||
// 这句直接写中文:带变量 + 固定术语,走翻译层反而匹配不上,界面必须中文
|
||||
// 自然语言片段 / BREAK 这类不叫「标签」,标题换个说法免得看着别扭
|
||||
modal.appendChild(element("h3", "", isPlainTag ? `编辑标签:${token.term}` : `编辑片段:${token.term}`));
|
||||
|
||||
// 多选着进来就直接停在编辑页:权重只对单个标签有意义
|
||||
const multiOpen = state.selected.size > 1;
|
||||
// 多选着进来、或者双击的不是普通标签(自然语言片段)→ 直接停在编辑页:
|
||||
// 权重只对单个标签有意义,而自然语言片段本来就是整段改的
|
||||
const startOnRaw = state.selected.size > 1 || !isPlainTag;
|
||||
// Tab 切换:权重与颜色(一页管两样)/ 编辑(改这行原文)/ 词条信息(改的是整条词条)
|
||||
// 自然语言片段没有权重也没有词条,顺序改成 编辑 → 颜色
|
||||
const tabs = element("div", "bpi-editor-tabs");
|
||||
const tabWeight = element("button", `bpi-editor-tab${multiOpen ? "" : " bpi-editor-tab-active"}`, t("Weight / color"));
|
||||
const tabRaw = element("button", `bpi-editor-tab${multiOpen ? " bpi-editor-tab-active" : ""}`, t("Edit"));
|
||||
// 没有权重可改时这页只剩配色,标签也就只写「颜色」
|
||||
const tabWeight = element("button", `bpi-editor-tab${startOnRaw ? "" : " bpi-editor-tab-active"}`, canWeight ? t("Weight / color") : t("Colors"));
|
||||
const tabRaw = element("button", `bpi-editor-tab${startOnRaw ? " bpi-editor-tab-active" : ""}`, t("Edit"));
|
||||
const tabEdit = element("button", "bpi-editor-tab", t("Entry info"));
|
||||
tabWeight.type = tabRaw.type = tabEdit.type = "button";
|
||||
tabs.append(tabWeight, tabRaw, tabEdit);
|
||||
if (isPlainTag) tabs.append(tabWeight, tabRaw, tabEdit);
|
||||
else tabs.append(tabRaw, tabWeight);
|
||||
modal.appendChild(tabs);
|
||||
|
||||
const weightPanel = element("div", `bpi-editor-panel${multiOpen ? " bpi-hidden" : ""}`);
|
||||
const weightPanel = element("div", `bpi-editor-panel${startOnRaw ? " bpi-hidden" : ""}`);
|
||||
// 权重那三块(说明 / 输入框 / 预设)单独装一个盒子,不能改权重时整盒收起,
|
||||
// 下半部分的配色照旧留着 —— 自然语言片段也要能上色
|
||||
const weightBlock = element("div");
|
||||
// 这句直接写中文:固定术语,走翻译层反而匹配不上
|
||||
weightPanel.appendChild(element("div", "bpi-config-note", "Anima 格式:(标签:权重)"));
|
||||
weightBlock.appendChild(element("div", "bpi-config-note", "Anima 格式:(标签:权重)"));
|
||||
const form = element("div", "bpi-form");
|
||||
const input = element("input", "");
|
||||
input.type = "number";
|
||||
@@ -1432,7 +1570,7 @@ function createPanel(node, textWidget) {
|
||||
input.step = "0.05";
|
||||
input.value = token.weight === null ? "1" : String(token.weight);
|
||||
form.append(element("label", "", "Weight"), input);
|
||||
weightPanel.appendChild(form);
|
||||
weightBlock.appendChild(form);
|
||||
|
||||
const presets = element("div", "bpi-weight-presets");
|
||||
for (const value of [0.7, 0.8, 0.9, 1, 1.1, 1.2, 1.3, 1.5]) {
|
||||
@@ -1441,11 +1579,15 @@ function createPanel(node, textWidget) {
|
||||
input.focus();
|
||||
}, "bpi-mini"));
|
||||
}
|
||||
weightPanel.appendChild(presets);
|
||||
weightBlock.appendChild(presets);
|
||||
weightPanel.appendChild(weightBlock);
|
||||
|
||||
// 同一页下半部分是配色:预设色块 + 自定义输入框;只在 default 模式下才看得见效果
|
||||
// 说明跟上方的「Anima 格式」一样放在控件上面
|
||||
weightPanel.appendChild(element("div", "bpi-editor-divider"));
|
||||
const colorDivider = element("div", "bpi-editor-divider");
|
||||
weightPanel.appendChild(colorDivider);
|
||||
weightBlock.hidden = !canWeight;
|
||||
colorDivider.hidden = !canWeight;
|
||||
// 双击设的自定义色优先级最低:只有「默认」模式才轮到它显示,其它模式会盖住
|
||||
weightPanel.appendChild(element("div", "bpi-color-note", t("This color has the lowest priority: it only shows in Default mode; other color modes override it.")));
|
||||
const presetsRow = element("div", "bpi-color-presets");
|
||||
@@ -1492,13 +1634,13 @@ function createPanel(node, textWidget) {
|
||||
weightPanel.appendChild(customRow);
|
||||
|
||||
// 编辑 Tab:把选中那段原文原样搬进输入框,怎么改都行,应用时整段写回提示词
|
||||
const rawPanel = element("div", `bpi-editor-panel${multiOpen ? "" : " bpi-hidden"}`);
|
||||
const rawPanel = element("div", `bpi-editor-panel${startOnRaw ? "" : " bpi-hidden"}`);
|
||||
const rawSpan = spanForEdit(token);
|
||||
const originalSlice = String(textWidget.value ?? "").slice(rawSpan.start, rawSpan.end).trim();
|
||||
// 这三句直接写中文:本页专属说明,走翻译层反而匹配不上,界面必须中文
|
||||
rawPanel.appendChild(element("div", "bpi-config-note", rawSpan.tokens.length > 1
|
||||
? `已选中 ${rawSpan.tokens.length} 个标签,下面是它们在原文里的整段(含中间的标签)`
|
||||
: "下面是这个标签在原文里的那段文字"));
|
||||
: isPlainTag ? "下面是这个标签在原文里的那段文字" : "下面是这段文字在原文里的整段"));
|
||||
const rawEditor = element("textarea", "bpi-raw-editor");
|
||||
rawEditor.value = originalSlice;
|
||||
rawPanel.appendChild(rawEditor);
|
||||
@@ -1507,13 +1649,22 @@ function createPanel(node, textWidget) {
|
||||
// 编辑 Tab:整套词条字段(含分类下拉),跟「新增/编辑个人标签」弹窗同一份构件。
|
||||
// 命中词库就整条带过来改;没命中就按这条标签卡起个头,存进去即新建。
|
||||
const editPanel = element("div", "bpi-editor-panel bpi-hidden");
|
||||
editPanel.appendChild(element("div", "bpi-config-note", t("Edits go to the personal dictionary and override same-name entries.")));
|
||||
// 这句直接写中文:本页专属说明,走翻译层反而匹配不上,界面必须中文
|
||||
editPanel.appendChild(element("div", "bpi-config-note", "英文标签在这里只读;要改提示词里的文字,请用「编辑」页。"));
|
||||
// 两句说明收进同一个盒子:应用时若发现还是「未收录」,整盒换成红色警告,
|
||||
// 并先把盒子按当前高度钉住,换文案就不会把下面的表单顶上去
|
||||
const editNotes = element("div", "bpi-editor-notes");
|
||||
// 这两句是原文(英文的走翻译层,中文那句本页专属、不进译表),来回切换时都按原文重新渲染
|
||||
const noteSavedSource = "Edits go to the personal dictionary and override same-name entries.";
|
||||
const noteReadonlySource = "英文标签在这里只读;要改提示词里的文字,请用「编辑」页。";
|
||||
const noteSaved = element("div", "bpi-config-note", noteSavedSource);
|
||||
const noteReadonly = element("div", "bpi-config-note", noteReadonlySource);
|
||||
editNotes.append(noteSaved, noteReadonly);
|
||||
editPanel.appendChild(editNotes);
|
||||
const editForm = element("div", "bpi-form");
|
||||
const editFields = buildTagFields(editForm, state.index.get(token.key) ?? {
|
||||
english: token.term,
|
||||
chinese: token.chinese ?? "",
|
||||
// 未收录的中文名只是占位,这里预填成空:想存就得自己写一个,
|
||||
// 下面的「还是未收录就拦掉」只是兜底(防手动敲回这三个字)
|
||||
chinese: token.chinese === UNKNOWN_CHINESE ? "" : token.chinese ?? "",
|
||||
models: ["general", "anima"],
|
||||
source: "user",
|
||||
verified: true,
|
||||
@@ -1521,9 +1672,36 @@ function createPanel(node, textWidget) {
|
||||
}, { withTarget: false, readonlyEnglish: true });
|
||||
editPanel.appendChild(editForm);
|
||||
|
||||
// 保护性占位:未收录标签的中文名只是提示文案,原样存进个人词库会得到
|
||||
// 一条中文名是「未收录」的残词条,标签从此显示成已收录却看不出是什么。
|
||||
// 所以「词条信息」页点应用时先比对中文名,还是占位就不保存、只把说明换成红色警告。
|
||||
let warnTimer = 0;
|
||||
const restoreEditNotes = () => {
|
||||
clearTimeout(warnTimer);
|
||||
editNotes.style.minHeight = "";
|
||||
setText(noteSaved, noteSavedSource);
|
||||
setText(noteReadonly, noteReadonlySource);
|
||||
noteSaved.classList.remove("bpi-config-note-warn");
|
||||
noteReadonly.classList.remove("bpi-config-note-warn");
|
||||
};
|
||||
const warnUnknownChinese = () => {
|
||||
// 先按现在的高度钉住:警告比原文短也不会缩,下面的表单一动不动
|
||||
const height = editNotes.getBoundingClientRect().height;
|
||||
if (height > 0) editNotes.style.minHeight = `${height}px`;
|
||||
setText(noteSaved, "Nothing was saved: the Chinese name is still the unknown placeholder.");
|
||||
setText(noteReadonly, "Enter a real Chinese name, then apply again.");
|
||||
noteSaved.classList.add("bpi-config-note-warn");
|
||||
noteReadonly.classList.add("bpi-config-note-warn");
|
||||
clearTimeout(warnTimer);
|
||||
warnTimer = setTimeout(restoreEditNotes, 2000);
|
||||
// 光标直接落到中文名那一格,省得再去找
|
||||
editFields.focus();
|
||||
};
|
||||
|
||||
modal.append(weightPanel, rawPanel, editPanel);
|
||||
|
||||
const close = () => {
|
||||
clearTimeout(warnTimer);
|
||||
editFields.destroy();
|
||||
shade.remove();
|
||||
};
|
||||
@@ -1547,6 +1725,14 @@ function createPanel(node, textWidget) {
|
||||
return value !== previous;
|
||||
};
|
||||
const apply = () => {
|
||||
// 不能改权重时这一页只剩配色,直接存色走人
|
||||
if (!canWeight) {
|
||||
const colorOnly = saveColor();
|
||||
if (colorOnly === null) return;
|
||||
if (colorOnly) render();
|
||||
close();
|
||||
return;
|
||||
}
|
||||
const raw = String(input.value ?? "").trim();
|
||||
const numeric = Number(raw);
|
||||
if (!raw || !Number.isFinite(numeric) || numeric < 0 || numeric > 3) {
|
||||
@@ -1597,8 +1783,14 @@ function createPanel(node, textWidget) {
|
||||
};
|
||||
// 词条页:只改词条,不动当前这行提示词文本,所以不进撤销栈
|
||||
const applyEdit = async () => {
|
||||
const payload = editFields.collect();
|
||||
// 中文名还是「未收录」占位:存下去只会得到一条残词条,直接拦掉不保存
|
||||
if (String(payload.chinese ?? "").trim() === UNKNOWN_CHINESE) {
|
||||
warnUnknownChinese();
|
||||
return;
|
||||
}
|
||||
try {
|
||||
await saveTag(editFields.collect());
|
||||
await saveTag(payload);
|
||||
await refreshDictionary();
|
||||
close();
|
||||
setStatus(t("Tag saved"), "ok");
|
||||
@@ -1609,17 +1801,17 @@ function createPanel(node, textWidget) {
|
||||
const actions = element("div", "bpi-modal-actions");
|
||||
// 「清除权重」只对权重页有意义,切到别的页就收起来;先存配色再清,别丢改动
|
||||
let clearWeightButton = null;
|
||||
if (token.weight !== null) {
|
||||
if (canWeight && token.weight !== null) {
|
||||
clearWeightButton = button("Clear weight", () => {
|
||||
if (saveColor() === null) return;
|
||||
if (applyTokenWeight(token, null)) close();
|
||||
}, "bpi-danger");
|
||||
clearWeightButton.hidden = multiOpen;
|
||||
clearWeightButton.hidden = startOnRaw;
|
||||
actions.appendChild(clearWeightButton);
|
||||
}
|
||||
actions.append(button("Cancel", close));
|
||||
// 先声明再让 applyButton 引用它:let 有 TDZ,声明放在闭包之后会有隐患
|
||||
let activeTab = multiOpen ? "raw" : "weight";
|
||||
let activeTab = startOnRaw ? "raw" : "weight";
|
||||
const applyButton = button(t("Apply"), () => {
|
||||
if (activeTab === "edit") applyEdit();
|
||||
else if (activeTab === "raw") applyRawEdit();
|
||||
@@ -1658,12 +1850,18 @@ function createPanel(node, textWidget) {
|
||||
weightPanel.classList.toggle("bpi-hidden", tab !== "weight");
|
||||
rawPanel.classList.toggle("bpi-hidden", tab !== "raw");
|
||||
editPanel.classList.toggle("bpi-hidden", tab !== "edit");
|
||||
// 离开词条页就把红色警告收回去,别等 2 秒后回来还挂着
|
||||
if (tab !== "edit") restoreEditNotes();
|
||||
if (clearWeightButton) clearWeightButton.hidden = tab !== "weight";
|
||||
};
|
||||
tabWeight.addEventListener("click", () => {
|
||||
activeTab = "weight";
|
||||
showPanel("weight");
|
||||
setTimeout(() => { input.focus(); input.select(); }, 0);
|
||||
// 不能改权重时这一页只有配色,光标落到颜色输入框
|
||||
setTimeout(() => {
|
||||
if (canWeight) { input.focus(); input.select(); }
|
||||
else { customInput.focus(); customInput.select(); }
|
||||
}, 0);
|
||||
});
|
||||
tabRaw.addEventListener("click", () => {
|
||||
activeTab = "raw";
|
||||
@@ -1675,8 +1873,9 @@ function createPanel(node, textWidget) {
|
||||
showPanel("edit");
|
||||
setTimeout(() => editFields.focus(), 0);
|
||||
});
|
||||
if (multiOpen) setTimeout(() => { rawEditor.focus(); rawEditor.select(); }, 0);
|
||||
else setTimeout(() => { input.focus(); input.select(); }, 0);
|
||||
if (startOnRaw) setTimeout(() => { rawEditor.focus(); rawEditor.select(); }, 0);
|
||||
else if (canWeight) setTimeout(() => { input.focus(); input.select(); }, 0);
|
||||
else setTimeout(() => { customInput.focus(); customInput.select(); }, 0);
|
||||
};
|
||||
|
||||
const undoStructuredEdit = () => {
|
||||
@@ -1729,9 +1928,33 @@ function createPanel(node, textWidget) {
|
||||
state.textareaListeners = [];
|
||||
};
|
||||
|
||||
// 把当前文本解析成标签列表。render 用它,插入标签后也立刻刷一次:
|
||||
// 连着插入(双击、回车连按)时下一次要拿新坐标,否则会拿着上一次的
|
||||
// 位置去切已经变长的文本,落点就偏了。
|
||||
const parseTokens = (text) => parsePrompt(text, state.index, state.machine, { mode: state.modePreference }).map((token) => {
|
||||
const override = state.localOverrides.get(token.key);
|
||||
if (!override) return token;
|
||||
return {
|
||||
...token,
|
||||
chinese: override.text,
|
||||
source: override.source,
|
||||
status: "session",
|
||||
confidence: "medium",
|
||||
confidenceLabel: "Medium",
|
||||
confidenceReason: "Changed for this session only; not saved to the dictionary",
|
||||
};
|
||||
});
|
||||
|
||||
const insertEnglish = (english, keepSearch = false) => {
|
||||
const current = String(textWidget.value ?? "");
|
||||
const start = state.englishEditing ? (englishEditor.selectionStart ?? current.length) : current.length;
|
||||
// 标签视图下没有光标可依,落点跟底部「快捷添加」一致:插到当前选中标签后面,
|
||||
// 没选中标签才落到末尾。侧边栏「标签管理」复用的就是这份明细表,所以那边
|
||||
// 搜词库点结果也是走这里。
|
||||
const anchor = state.englishEditing ? null : state.tokens.find((item) => item.id === state.pinned);
|
||||
const at = anchor?.end;
|
||||
const start = state.englishEditing
|
||||
? (englishEditor.selectionStart ?? current.length)
|
||||
: (Number.isInteger(at) && at > 0 && at <= current.length ? at : current.length);
|
||||
const end = state.englishEditing ? (englishEditor.selectionEnd ?? start) : start;
|
||||
const before = current.slice(0, start);
|
||||
const after = current.slice(end);
|
||||
@@ -1739,7 +1962,16 @@ function createPanel(node, textWidget) {
|
||||
const needsSuffix = after.trim() && !/^[\s,\n]/.test(after);
|
||||
const insertion = `${needsPrefix ? ", " : ""}${english}${needsSuffix ? ", " : ""}`;
|
||||
const nextText = before + insertion + after;
|
||||
// 新标签落在选中标签之后,也就是原来排在它前面的那些标签之后:加完把它设为选中,
|
||||
// 连着加几个才会依次往后排,不用每次重新点一遍落点。
|
||||
const nextId = state.englishEditing ? null : state.tokens.filter((token) => token.end <= start).length;
|
||||
updateText(nextText, state.englishEditing ? start + insertion.length : null);
|
||||
if (nextId !== null) {
|
||||
state.tokens = parseTokens(nextText);
|
||||
state.pinned = nextId;
|
||||
state.selected.clear();
|
||||
state.selected.add(nextId);
|
||||
}
|
||||
rememberRecent(english);
|
||||
if (!keepSearch) search.value = "";
|
||||
renderSearch();
|
||||
@@ -1914,7 +2146,9 @@ function createPanel(node, textWidget) {
|
||||
state.editing = {
|
||||
id: token.id,
|
||||
key: token.key,
|
||||
value: ["Not indexed", "Natural-language segment (pending translation or confirmation)"].includes(token.chinese) ? "" : token.chinese,
|
||||
// 「未收录」「自然语言片段」都只是占位说明,不是译文:改中文时不带出来,
|
||||
// 免得一个字没动就原样存回个人词库,得到一条中文名叫「未收录」的残词条
|
||||
value: [UNKNOWN_CHINESE, "自然语言片段(待翻译或确认)"].includes(token.chinese) ? "" : token.chinese,
|
||||
};
|
||||
render();
|
||||
};
|
||||
@@ -2016,30 +2250,36 @@ function createPanel(node, textWidget) {
|
||||
|
||||
const setAssistantBusy = (busy) => {
|
||||
state.assistantBusy = Boolean(busy);
|
||||
optimizeChineseButton.disabled = state.assistantBusy;
|
||||
optimizeButton.disabled = state.assistantBusy;
|
||||
sortPromptButton.disabled = state.assistantBusy;
|
||||
};
|
||||
|
||||
// 「优化为 Anima」只处理英文提示词本身(中文翻译在侧边栏做),
|
||||
// 自然语言模式下没有标签流可以重排,「按 Anima 排序」整个不出现;
|
||||
// 「优化」也随之改走自然语言规则(可以吃中文),标签模式维持「只处理英文」。
|
||||
const isNaturalPrompt = () => state.modeInfo.mode === "natural";
|
||||
|
||||
// 结果不直接写回,先弹预览让用户确认。
|
||||
const runAnimaOptimize = async () => {
|
||||
const runOptimize = async () => {
|
||||
if (state.assistantBusy) return;
|
||||
const source = String(textWidget.value ?? "").trim();
|
||||
if (!source) {
|
||||
setStatus("English prompt is empty; nothing to optimize", "error");
|
||||
return;
|
||||
}
|
||||
if (containsChinese(source)) {
|
||||
setStatus("“Optimize to Anima” only processes English; translate Chinese in the sidebar first", "error");
|
||||
const label = "Optimize";
|
||||
const natural = isNaturalPrompt();
|
||||
const hasChinese = containsChinese(source);
|
||||
if (hasChinese && !natural) {
|
||||
setStatus("“Optimize” only processes English in tag mode; translate Chinese in the sidebar first", "error");
|
||||
return;
|
||||
}
|
||||
const label = "Optimize to Anima";
|
||||
setAssistantBusy(true);
|
||||
setStatus(`Running “${label}”…`, "busy");
|
||||
// 自然语言模式是允许中文的,这里明说一句会顺带翻译,免得用户以为漏处理了
|
||||
setStatus(`Running “${label}”…${hasChinese ? " (Chinese detected; translating to English first)" : ""}`, "busy");
|
||||
try {
|
||||
const output = await runInspectorAssistant("optimize", source);
|
||||
const punctuationError = animaPunctuationError(output);
|
||||
openTextPreview("Optimize to Anima", output, null, label);
|
||||
const output = await runInspectorAssistant(natural ? "optimize_natural" : "optimize", source);
|
||||
const punctuationError = natural ? "" : animaPunctuationError(output);
|
||||
openTextPreview(label, output, null, label);
|
||||
if (punctuationError) {
|
||||
setStatus(`“${punctuationError}”; please fix it in the preview before confirming`, "error");
|
||||
} else {
|
||||
@@ -2067,6 +2307,36 @@ function createPanel(node, textWidget) {
|
||||
rebuildDictionaryIndex();
|
||||
};
|
||||
|
||||
// 排序写入之后按钮就变成「取消」:点一下把提示词和分类视图一起还原到排序前。
|
||||
const updateSortButton = () => {
|
||||
const sorted = Boolean(state.animaSortSnapshot);
|
||||
// 排序只重排标签流;整段自然语言没有可排的东西,按钮整个不出现。
|
||||
// 但已经排过序时要留着,否则「取消排序」的入口会跟着一起消失。
|
||||
sortPromptButton.hidden = isNaturalPrompt() && !state.animaSortSnapshot;
|
||||
setText(sortPromptButton, sorted ? "Cancel Anima order sort" : "Sort by Anima order");
|
||||
setTitle(sortPromptButton, sorted
|
||||
? "Restore the prompt as it was before the Anima sort"
|
||||
: "press Anima stable sort by recommended categories, one row per non-empty category; natural language and BREAK/AND kept intact");
|
||||
};
|
||||
|
||||
const cancelAnimaSort = () => {
|
||||
const snapshot = state.animaSortSnapshot;
|
||||
if (!snapshot) return;
|
||||
state.animaSortSnapshot = null;
|
||||
if (snapshot.before !== snapshot.after) {
|
||||
if (applyFullText(snapshot.before, "Cancel Anima sort")) {
|
||||
setStatus("Restored the prompt from before the Anima sort", "ok");
|
||||
}
|
||||
} else {
|
||||
// 排序没改动文本(本来就是 Anima 顺序),只切了分类视图:退出视图就回到原样
|
||||
state.categoryView = false;
|
||||
setText(englishHint, "");
|
||||
render();
|
||||
setStatus("Exited the Anima category view", "ok");
|
||||
}
|
||||
updateSortButton();
|
||||
};
|
||||
|
||||
const sortByAnimaOrder = async () => {
|
||||
if (state.assistantBusy) return;
|
||||
const source = String(textWidget.value ?? "").trim();
|
||||
@@ -2082,6 +2352,8 @@ function createPanel(node, textWidget) {
|
||||
tokens = parsePrompt(source, state.index, state.machine, { mode: "auto" });
|
||||
const result = sortAnimaPrompt(tokens, { groupLines: true });
|
||||
if (result.text === source) {
|
||||
// 本来就是 Anima 顺序,只是切成分类视图:前后文本相同,取消时退出视图即可
|
||||
state.animaSortSnapshot = { before: source, after: source };
|
||||
state.categoryView = true;
|
||||
render();
|
||||
setText(englishHint, "Category table view | click tags to link; category names are not written to the prompt");
|
||||
@@ -2201,8 +2473,8 @@ function createPanel(node, textWidget) {
|
||||
if (state.dupFocusId === token.id) card.classList.add("bpi-dup-hit");
|
||||
// 选中反馈给整张卡片,而不是只有英文那一行
|
||||
if (state.pinned === token.id) card.classList.add("bpi-card-linked");
|
||||
// 多选的虚线框只在真的多选时出现,单选保持原样不打扰
|
||||
if (state.selected.size > 1 && state.selected.has(token.id)) card.classList.add("bpi-card-multi");
|
||||
// 多选的虚线框只在真的多选时出现,单选保持原样不打扰;中间没点到的也框上
|
||||
if (inSelectionSpan(token)) card.classList.add("bpi-card-multi");
|
||||
const cardColor = tokenCardColor(token);
|
||||
if (cardColor && !card.classList.contains("bpi-card-linked") && !card.classList.contains("bpi-dup-hit")) card.style.background = cardColor;
|
||||
card.append(chip, chinese);
|
||||
@@ -2688,6 +2960,28 @@ function createPanel(node, textWidget) {
|
||||
|
||||
// 快捷添加区要等面板搭完才存在,这里先占位,render 里用可选链调用就不会撞 TDZ
|
||||
let updateQuickTarget = null;
|
||||
// 命中的片段包一层 mark。全程用文本节点拼,不碰 innerHTML —— 提示词是用户输入,
|
||||
// 走字符串拼接等于给自己开个注入口子。
|
||||
const highlightFragment = (text, needle) => {
|
||||
const source = String(text ?? "");
|
||||
const fragment = document.createDocumentFragment();
|
||||
if (!needle) {
|
||||
fragment.appendChild(document.createTextNode(source));
|
||||
return fragment;
|
||||
}
|
||||
const haystack = source.toLowerCase();
|
||||
let cursor = 0;
|
||||
for (let at = haystack.indexOf(needle); at !== -1; at = haystack.indexOf(needle, cursor)) {
|
||||
if (at > cursor) fragment.appendChild(document.createTextNode(source.slice(cursor, at)));
|
||||
const hit = document.createElement("mark");
|
||||
hit.className = "bpi-hit";
|
||||
hit.textContent = source.slice(at, at + needle.length);
|
||||
fragment.appendChild(hit);
|
||||
cursor = at + needle.length;
|
||||
}
|
||||
fragment.appendChild(document.createTextNode(source.slice(cursor)));
|
||||
return fragment;
|
||||
};
|
||||
const render = () => {
|
||||
renderSourceBar();
|
||||
// 输出管道跟着视图一起刷:任何文本/隐藏列表变化最后都会走到 render,
|
||||
@@ -2695,19 +2989,12 @@ function createPanel(node, textWidget) {
|
||||
syncEffectiveOutput();
|
||||
const text = String(textWidget.value ?? "");
|
||||
state.lastText = text;
|
||||
// 排序完又手动改了文本,「回到排序前」会把这些改动一起吞掉,取消入口随之失效
|
||||
if (state.animaSortSnapshot && text.trim() !== state.animaSortSnapshot.after) state.animaSortSnapshot = null;
|
||||
state.modeInfo = detectInputMode(text, state.modePreference);
|
||||
state.tokens = parsePrompt(text, state.index, state.machine, { mode: state.modePreference }).map((token) => {
|
||||
const override = state.localOverrides.get(token.key);
|
||||
if (!override) return token;
|
||||
return {
|
||||
...token,
|
||||
chinese: override.text,
|
||||
source: override.source,
|
||||
status: "session",
|
||||
confidence: "medium",
|
||||
confidenceLabel: "Medium · session-only",
|
||||
};
|
||||
});
|
||||
// 按钮显隐依赖 modeInfo,必须排在它更新之后
|
||||
updateSortButton();
|
||||
state.tokens = parseTokens(text);
|
||||
queueLargeLookup(state.tokens);
|
||||
// 重复分组要在渲染两个视图之前算好,标签区和明细表都吃这份数据
|
||||
state.duplicateGroups = duplicateGroups(state.tokens);
|
||||
@@ -2749,7 +3036,14 @@ function createPanel(node, textWidget) {
|
||||
if (state.tableFilter === "favorites") return isFavorite(token.term);
|
||||
return true;
|
||||
});
|
||||
renderMachineBatchBar(visibleTokens.filter((token) => token.status === "machine"));
|
||||
// 查找和上面的筛选是叠加关系:先按来源筛,再按关键词筛,清空关键词回到筛选结果
|
||||
const query = state.tableQuery.trim().toLowerCase();
|
||||
const searchedTokens = query
|
||||
? visibleTokens.filter((token) => token.raw.toLowerCase().includes(query) || token.chinese.toLowerCase().includes(query))
|
||||
: visibleTokens;
|
||||
tableSearchCount.textContent = query ? `${searchedTokens.length} / ${visibleTokens.length}` : "";
|
||||
tableSearchClear.classList.toggle("bpi-visible", Boolean(query));
|
||||
renderMachineBatchBar(searchedTokens.filter((token) => token.status === "machine"));
|
||||
const errorsByKey = new Map();
|
||||
for (const item of state.issues) {
|
||||
for (const key of item.tokenKeys ?? []) {
|
||||
@@ -2776,8 +3070,10 @@ function createPanel(node, textWidget) {
|
||||
table.appendChild(element("div", "bpi-empty", "Enter a prompt in the English text box above; per-tag bilingual mapping will appear here."));
|
||||
} else if (!visibleTokens.length) {
|
||||
table.appendChild(element("div", "bpi-empty", "No matching items under the current filter."));
|
||||
} else if (!searchedTokens.length) {
|
||||
table.appendChild(element("div", "bpi-empty", `No tag matches “${state.tableQuery.trim()}”`));
|
||||
} else {
|
||||
visibleTokens.forEach((token, visibleIndex) => {
|
||||
searchedTokens.forEach((token, visibleIndex) => {
|
||||
const row = element("div", `bpi-row bpi-${token.status}`);
|
||||
if (token.suspectedNatural) row.classList.add("bpi-suspected-natural");
|
||||
const tokenHidden = isTokenHidden(token);
|
||||
@@ -2790,22 +3086,32 @@ function createPanel(node, textWidget) {
|
||||
else if (rowSeverity === "warning") row.classList.add("bpi-has-warning");
|
||||
row.dataset.tokenId = String(token.id);
|
||||
if (state.pinned === token.id) row.classList.add("bpi-pinned");
|
||||
if (state.selected.size > 1 && state.selected.has(token.id)) row.classList.add("bpi-row-multi");
|
||||
if (inSelectionSpan(token)) row.classList.add("bpi-row-multi");
|
||||
const englishCell = element("div", "bpi-cell bpi-en");
|
||||
if (token.status === "machine") englishCell.appendChild(buildRowCheckButton(token));
|
||||
if (state.tableFilter === "all" && canReorderTokens()) {
|
||||
// 查找状态下不给拖拽手柄:落点是按可见行算的,藏着行会把标签挪到错误的位置
|
||||
if (state.tableFilter === "all" && !query && canReorderTokens()) {
|
||||
englishCell.appendChild(buildRowDragHandle(row, token));
|
||||
}
|
||||
if (canHideTokens()) {
|
||||
englishCell.appendChild(buildRowHideButton(token));
|
||||
}
|
||||
const chineseCell = element("div", "bpi-cell bpi-zh");
|
||||
const englishText = element("span", tokenHidden || tokenSuppressed ? "bpi-hidden-term" : "", token.raw);
|
||||
const englishText = element("span", tokenHidden || tokenSuppressed ? "bpi-hidden-term" : "");
|
||||
englishText.appendChild(highlightFragment(token.raw, query));
|
||||
setTitle(englishText, tokenSuppressed
|
||||
? `Query: “${token.term}” | “Unique” is on: only the first occurrence reaches the actual output`
|
||||
: `Query: “${token.term}”${token.weight === null ? "" : ` | weight: ${token.weight}`}`);
|
||||
englishText.addEventListener("dblclick", (event) => {
|
||||
event.stopPropagation();
|
||||
// 词库里已经有这条(内置 / 词库包 / 个人,都算):双击直接开「新增或编辑个人标签」,
|
||||
// 跟侧边栏词库里点「编辑」是同一个弹窗,别名、分类、模型这些都能一起改。
|
||||
// 还没入库的(未收录、待确认的机器翻译、特殊语法)走原来的定位到提示词。
|
||||
if (token.entry) {
|
||||
// 中文以列表里现在显示的为准:可能只是本次会话临时改过、还没存进词库
|
||||
openTagDialog({ ...token.entry, chinese: token.chinese }, refreshDictionary);
|
||||
return;
|
||||
}
|
||||
setEnglishEditing(true);
|
||||
requestAnimationFrame(() => {
|
||||
englishEditor.focus({ preventScroll: true });
|
||||
@@ -2843,7 +3149,8 @@ function createPanel(node, textWidget) {
|
||||
setTimeout(() => { editor.focus(); editor.select(); }, 0);
|
||||
return; // forEach 里不能用 continue;这里跳过本条剩余的渲染逻辑
|
||||
}
|
||||
const chineseText = element("span", "", token.chinese);
|
||||
const chineseText = element("span", "");
|
||||
chineseText.appendChild(highlightFragment(token.chinese, query));
|
||||
setTitle(chineseText, "Double-click to edit Chinese explanation");
|
||||
chineseText.addEventListener("dblclick", (event) => {
|
||||
event.stopPropagation();
|
||||
@@ -2870,22 +3177,11 @@ function createPanel(node, textWidget) {
|
||||
chineseCell.appendChild(sourceBadge);
|
||||
}
|
||||
const confidenceBadge = element("span", `bpi-badge bpi-confidence-${token.confidence}`, token.confidenceLabel);
|
||||
setTitle(confidenceBadge, token.status === "machine"
|
||||
? "Machine translation not yet human-verified"
|
||||
: token.status === "unknown" ? "Dictionary cannot determine" : "Estimated from dictionary source and verification status");
|
||||
setTitle(confidenceBadge, token.confidenceReason);
|
||||
chineseCell.appendChild(confidenceBadge);
|
||||
|
||||
const actions = element("span", "bpi-inline-actions");
|
||||
if (token.status === "unknown" && !/[\u3400-\u9fff]/.test(token.term)) {
|
||||
const searchButton = element("button", "bpi-mini", "Search candidates");
|
||||
searchButton.addEventListener("click", (event) => {
|
||||
event.stopPropagation();
|
||||
openManagerPanel("tag-manager", node.id);
|
||||
search.value = token.term;
|
||||
renderSearch();
|
||||
search.focus({ preventScroll: true });
|
||||
results.scrollIntoView?.({ block: "nearest" });
|
||||
});
|
||||
const addButton = element("button", "bpi-mini", "Add manually");
|
||||
addButton.addEventListener("click", (event) => {
|
||||
event.stopPropagation();
|
||||
@@ -2905,7 +3201,7 @@ function createPanel(node, textWidget) {
|
||||
event.stopPropagation();
|
||||
translateToken(token);
|
||||
});
|
||||
actions.append(searchButton, addButton, translateButton);
|
||||
actions.append(addButton, translateButton);
|
||||
} else if (token.status === "unknown" && /[\u3400-\u9fff]/.test(token.term)) {
|
||||
const hint = element("span", "bpi-badge", "Use “Edit text” to process it");
|
||||
setTitle(hint, "Click “Edit text”, then use the inspector's own “Translate” or “Translate & optimize”");
|
||||
@@ -3218,6 +3514,9 @@ function createPanel(node, textWidget) {
|
||||
}));
|
||||
});
|
||||
filtersBar.appendChild(colorButton);
|
||||
// 「适应高度」跟着明细表走:明细表被侧边栏「标签管理」复用,开关也就在那边,
|
||||
// 跟着所选节点换(每个节点一份实例 + 状态存在 node.properties 上)
|
||||
filtersBar.appendChild(fillSwitchRow);
|
||||
leftTools.append(
|
||||
button("Add tag", () => openTagDialog({}, refreshDictionary), "bpi-primary"),
|
||||
translateAllButton,
|
||||
@@ -3228,14 +3527,16 @@ function createPanel(node, textWidget) {
|
||||
render();
|
||||
}),
|
||||
);
|
||||
// 侧边栏「标签管理」复用的就是这份 detailsBody,而它自己就在侧边栏里,
|
||||
// 再放一个跳去词库的按钮和点顶部「词库」页签是同一件事,故不保留。
|
||||
rightTools.append(
|
||||
button("Manager panel", () => openManagerPanel("tags"), "bpi-primary"),
|
||||
button("Refresh dictionary", refreshDictionary),
|
||||
);
|
||||
toolbar.append(leftTools, rightTools);
|
||||
modeSelect.value = state.modePreference;
|
||||
searchLine.append(modeSelect, searchLabel, search);
|
||||
summary.append(counts, modeInfo, status);
|
||||
detailsBody.append(toolbar, searchLine, results, summary, filtersBar, colorPanel, machineBatchBar, issuesPanel, table, detailsHiddenBar);
|
||||
detailsBody.append(toolbar, searchLine, results, summary, filtersBar, colorPanel, machineBatchBar, issuesPanel, tableSearch, table, detailsHiddenBar);
|
||||
// 底部快捷输入:中文先翻译再追加,英文直接追加。只挂在节点面板上,
|
||||
// 明细表(detailsBody)才会被侧边栏「标签管理」复用,这个输入框不会跟着过去。
|
||||
const quickSection = element("section", "bpi-quick-section");
|
||||
@@ -3366,12 +3667,19 @@ function createPanel(node, textWidget) {
|
||||
event.stopPropagation();
|
||||
action();
|
||||
});
|
||||
setTitle(optimizeChineseButton, "Only optimizes existing English; does not translate");
|
||||
setTitle(sortPromptButton, "press Anima stable sort by recommended categories, one row per non-empty category; natural language and BREAK/AND kept intact");
|
||||
bindMirrorAction(optimizeChineseButton, runAnimaOptimize);
|
||||
bindMirrorAction(sortPromptButton, sortByAnimaOrder);
|
||||
// bindMirrorAction(tagManagerButton, () => openManagerPanel("tag-manager", node.id));
|
||||
// setTitle(tagManagerButton, "在侧边栏管理面板中打开本节点的标签翻译与词库搜索");
|
||||
setTitle(optimizeButton, "Optimize with the rule for the current mode: tag mode tidies the tag flow, natural language mode rewrites it as English sentences");
|
||||
bindMirrorAction(optimizeButton, runOptimize);
|
||||
fillSwitch.checked = state.fillHeight;
|
||||
setTitle(fillSwitchRow, state.fillHeight
|
||||
? "Back to the automatic height; the prompt area stops following the node"
|
||||
: "Let the prompt area grow with the node instead of being capped");
|
||||
panel.classList.toggle("bpi-fill", state.fillHeight);
|
||||
fillSwitch.addEventListener("change", () => setFillHeight(fillSwitch.checked));
|
||||
bindMirrorAction(sortPromptButton, () => {
|
||||
if (state.animaSortSnapshot) cancelAnimaSort();
|
||||
else sortByAnimaOrder();
|
||||
});
|
||||
updateSortButton();
|
||||
setTitle(editEnglishButton, "Switch between the English text editor and the linked tag view");
|
||||
setTitle(clearEnglishButton, "Requires a second click to clear the actual English output; after clearing, click the same button or press Ctrl+Z to undo");
|
||||
editEnglishButton.addEventListener("mousedown", (event) => {
|
||||
@@ -3424,8 +3732,31 @@ function createPanel(node, textWidget) {
|
||||
});
|
||||
search.addEventListener("input", renderSearch);
|
||||
search.addEventListener("focus", renderSearch);
|
||||
const clearTableSearch = () => {
|
||||
tableSearchInput.value = "";
|
||||
state.tableQuery = "";
|
||||
render();
|
||||
};
|
||||
tableSearchInput.addEventListener("input", () => {
|
||||
state.tableQuery = tableSearchInput.value;
|
||||
render();
|
||||
});
|
||||
tableSearchInput.addEventListener("keydown", (event) => {
|
||||
if (event.key !== "Escape" || !tableSearchInput.value) return;
|
||||
// 节点里按 Esc 会被画布当成取消,这里自己吃掉
|
||||
event.preventDefault();
|
||||
event.stopPropagation();
|
||||
clearTableSearch();
|
||||
});
|
||||
tableSearchClear.addEventListener("click", () => {
|
||||
clearTableSearch();
|
||||
tableSearchInput.focus({ preventScroll: true });
|
||||
});
|
||||
modeSelect.addEventListener("change", () => {
|
||||
state.modePreference = modeSelect.value;
|
||||
if (!node.properties || typeof node.properties !== "object") node.properties = {};
|
||||
if (state.modePreference === "auto") delete node.properties.bpiMode;
|
||||
else node.properties.bpiMode = state.modePreference;
|
||||
state.editing = null;
|
||||
render();
|
||||
});
|
||||
@@ -3518,12 +3849,20 @@ function createPanel(node, textWidget) {
|
||||
return state.collapsedWidgetHeight;
|
||||
},
|
||||
getMaxHeight() {
|
||||
return state.collapsedWidgetHeight;
|
||||
// 适应高度模式把上限抬高:两者相等时 ComfyUI 只按下限给,拉大节点多出来的空间全变空白
|
||||
return state.fillHeight ? EXPANDED_WIDGET_MAX_HEIGHT : state.collapsedWidgetHeight;
|
||||
},
|
||||
refreshAfterConfigure() {
|
||||
// Workflow files keep the hidden-tag list in node.properties; make sure
|
||||
// the bar is drawn even when the text itself did not change.
|
||||
getHiddenTags();
|
||||
// 工作流里的模式偏好要先回到下拉,否则按钮显隐会退回「自动」那一套
|
||||
state.modePreference = storedMode();
|
||||
modeSelect.value = state.modePreference;
|
||||
// 工作流里的「适应高度」也要还原回按钮和面板 class
|
||||
state.fillHeight = storedFillHeight();
|
||||
panel.classList.toggle("bpi-fill", state.fillHeight);
|
||||
fillSwitch.checked = state.fillHeight;
|
||||
scheduleRender(true);
|
||||
},
|
||||
syncSourceBar() {
|
||||
@@ -3617,6 +3956,9 @@ app.registerExtension({
|
||||
bindUpstreamListener();
|
||||
const inspector = createPanel(this, textWidget);
|
||||
this._bilingualPromptInspector = inspector;
|
||||
// 记下出厂标题。用户在画布上双击节点标题改名后 node.title 会跟着变,
|
||||
// 侧边栏拿这个当基准,才能判断「这是用户自己起的名字」。
|
||||
inspector.defaultNodeTitle = this.constructor?.title ?? this.title;
|
||||
inspectorRegistry.set(String(this.id ?? ""), inspector);
|
||||
try {
|
||||
this.addDOMWidget("bilingual_inspector", "bilingual-inspector", inspector.panel, {
|
||||
|
||||
+58
-20
@@ -737,6 +737,12 @@ function tagCategoryCounts(data) {
|
||||
.sort((left, right) => right.count - left.count || left.name.localeCompare(right.name, "zh-CN"));
|
||||
}
|
||||
|
||||
// 插件自己写死的默认分类:词库里存的其实是英文,显示时才翻成中文,存回去再还原,
|
||||
// 免得同一个「未分类」在词库里分成两条。别的分类都是词库数据,不进翻译层。
|
||||
const UNCATEGORIZED = "Uncategorized";
|
||||
const categoryName = (value) => (value === UNCATEGORIZED ? t("Uncategorized") : value);
|
||||
const isUncategorized = (value) => value === UNCATEGORIZED || value === t("Uncategorized");
|
||||
|
||||
// 「分类」输入框:下拉列出已有分类,边打字边收窄,第一项恒为「自定义」。
|
||||
// 青绿色的「自定义」标识只表示「这个值不是词库里的现成分类」—— 选了自定义才会挂上,
|
||||
// 手打的值一旦命中某个候选就自动摘掉;编辑历史标签时带进来的陌生值也当场算自定义。
|
||||
@@ -747,7 +753,7 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
input.id = "bpi-field-category";
|
||||
input.name = "category";
|
||||
input.autocomplete = "off";
|
||||
input.value = initial ?? "";
|
||||
input.value = categoryName(initial ?? "");
|
||||
setPlaceholder(input, "Type to filter; ↑↓ to choose");
|
||||
const badge = element("span", "bpi-custom-badge", "Custom");
|
||||
badge.hidden = true;
|
||||
@@ -777,9 +783,9 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
}
|
||||
rows.forEach((row, index) => {
|
||||
const item = element("div", `bpi-ac-item${index === active ? " bpi-ac-active" : ""}${row.custom ? " bpi-ac-custom" : ""}`);
|
||||
// 分类名是词库数据,不进翻译层
|
||||
// 分类名是词库数据,不进翻译层;只有插件自己的默认分类翻成中文
|
||||
const name = element("span", "bpi-ac-name");
|
||||
name.textContent = row.custom ? t("Custom") : row.name;
|
||||
name.textContent = row.custom ? t("Custom") : categoryName(row.name);
|
||||
const hint = element("span", "bpi-ac-kind");
|
||||
hint.textContent = row.custom ? (input.value.trim() || t("Manual input")) : t(`${row.count} items`);
|
||||
item.append(name, hint);
|
||||
@@ -794,14 +800,14 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
};
|
||||
const update = ({ reveal = true } = {}) => {
|
||||
const needle = input.value.trim().toLowerCase();
|
||||
const matches = catalog.filter((entry) => !needle || entry.name.toLowerCase().includes(needle));
|
||||
const matches = catalog.filter((entry) => !needle || categoryName(entry.name).toLowerCase().includes(needle));
|
||||
rows = [{ custom: true }, ...matches];
|
||||
if (!reveal) {
|
||||
menu.hidden = true;
|
||||
return;
|
||||
}
|
||||
// 打出来的字正好等于某个候选时,默认就落在它身上,省一次↓
|
||||
const exact = rows.findIndex((row) => !row.custom && row.name === input.value.trim());
|
||||
const exact = rows.findIndex((row) => !row.custom && categoryName(row.name) === input.value.trim());
|
||||
active = exact > 0 ? exact : 0;
|
||||
renderMenu();
|
||||
};
|
||||
@@ -810,7 +816,7 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
if (row.custom) {
|
||||
setCustom(true);
|
||||
} else {
|
||||
input.value = row.name;
|
||||
input.value = categoryName(row.name);
|
||||
setCustom(false);
|
||||
}
|
||||
closeMenu();
|
||||
@@ -818,7 +824,7 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
};
|
||||
|
||||
input.addEventListener("input", () => {
|
||||
if (custom && catalog.some((entry) => entry.name === input.value.trim())) setCustom(false);
|
||||
if (custom && catalog.some((entry) => categoryName(entry.name) === input.value.trim())) setCustom(false);
|
||||
update();
|
||||
});
|
||||
input.addEventListener("focus", () => update());
|
||||
@@ -860,12 +866,13 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
return {
|
||||
root,
|
||||
destroy: () => document.removeEventListener("mousedown", onOutside, true),
|
||||
value: () => input.value.trim(),
|
||||
// 存回词库的是英文原值:显示用的「未分类」要还原,不然会多出一个中文分类
|
||||
value: () => (isUncategorized(input.value.trim()) ? UNCATEGORIZED : input.value.trim()),
|
||||
// 候选是异步取来的,取到之后不能把用户的菜单硬弹开
|
||||
setCategories: (list) => {
|
||||
catalog = list;
|
||||
const current = input.value.trim();
|
||||
if (current && !catalog.some((entry) => entry.name === current)) setCustom(true);
|
||||
if (current && !catalog.some((entry) => categoryName(entry.name) === current)) setCustom(true);
|
||||
// 菜单本来开着就重画,没开就别突然弹出来打断用户
|
||||
update({ reveal: !menu.hidden });
|
||||
},
|
||||
@@ -890,7 +897,8 @@ function buildTagFields(parent, initial = {}, { withTarget = true, readonlyEngli
|
||||
} else {
|
||||
english = field(parent, "English Tag", "english", initial?.english, "e.g.: looking at viewer");
|
||||
}
|
||||
const chinese = field(parent, "Chinese Name", "chinese", initial?.chinese, "e.g.: looking at viewer");
|
||||
// 中文名称的示例要给中文:这格本来就是填中文的,示例还写英文会让人以为该填英文
|
||||
const chinese = field(parent, "Chinese Name", "chinese", initial?.chinese, "e.g.: apple");
|
||||
const aliases = field(parent, "Chinese Aliases", "aliases", initial?.aliases?.join(","), "Comma-separated");
|
||||
const categoryLabel = element("label", "", "Category");
|
||||
categoryLabel.htmlFor = "bpi-field-category";
|
||||
@@ -1214,11 +1222,11 @@ function injectBpiStyles() {
|
||||
const style = document.createElement("style");
|
||||
style.id = "bpi-styles";
|
||||
style.textContent = `
|
||||
:root{--bpm-accent:#45926f;--bpm-accent-hover:#3a7d5e;--bpm-accent-border:#35755a;--bpi-custom-bg:#e6f6f1;--bpi-custom-border:#7fc9b0;--bpi-custom-text:#0f6e56;--bpi-surface:rgba(255,255,255,.92);--bpi-surface-2:#f5f5f5;--bpi-surface-3:#eaeaea;--bpi-surface-table:#f0f0f0;--bpi-surface-modal:#fff;--bpi-text:#333;--bpi-text-muted:#666;--bpi-text-faint:#999;--bpi-border:#ccc;--bpi-border-2:#bbb;--bpi-border-3:#e0e0e0;--bpi-button-bg:#e8e8e8;--bpi-button-text:#333;--bpi-input-bg:#fff;--bpi-input-text:#333;--bpi-head-bg:#e8e8e8;--bpi-danger-bg:#c0392b;--bpi-danger-bg-hover:#a53023;--bpi-danger-border:#a53023;--bpi-danger-text:#fff;--bpi-break-bg:#e6f6f1;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#7fc9b0;--bpi-break-text:#0f6e56;--bpi-primary-bg:#2b6cb0;--bpi-primary-bg-hover:#245a94;--bpi-primary-border:#1e4f85;--bpi-primary-text:#fff;--bpi-en-head-text:#17557f;--bpi-en-hint-text:#5b7f9e;--bpi-zh-head-text:#1f5c22;--bpi-zh-hint-text:#5b7d5e;--bpi-cat-name-text:#1e5a28;--bpi-info-text:#1f5f96;--bpi-link-text:#1a5f96;--bpi-zh-text:#18508a;--bpi-status-error:#b3261e;--bpi-status-ok:#1a7f45;--bpi-status-busy:#8a5a00;--bpi-badge-warn:#8a5a00;--bpi-badge-source:#0f6e56;--bpi-badge-suspected:#1c5f80;--bpi-badge-machine:#5b3fa8;--bpi-star-on:#a8750a;--bpi-star-off:#6b7280;--bpi-quick-head-text:#4a3a7a;--bpi-quick-hint-text:#6b5a8f;--bpi-handle-text:#4a6a85;--bpi-handle-hover:#1f5f96;--bpi-mini-hover-bg:#d8dee7;--bpi-handle-hover-bg:#e2e8ef;--bpi-chip-hide-bg:#eef1f5;--bpi-waiting-bg:#fdf1dc;--bpi-waiting-border:#d9a95a;--bpi-hidden-chip-hover-bg:#e8eef5;--bpi-issues-bg:#fdf6e8;--bpi-issues-border:#d9b98a;--bpi-issue-text:#7a5410;--bpi-row-hover-overlay:rgba(47,108,176,.06);--bpi-row-pinned-overlay:#cfe3f7;--bpi-row-hover-ring:rgba(47,108,176,.55);--bpi-row-pinned-ring:#1a5f96;--bpi-row-hover-text:#1f1f1f;--bpi-row-hover-shadow:none;--bpi-row-selected-bg:#dcebf8;--bpi-en-section-bg:rgba(43,108,176,.06);--bpi-quick-section-bg:rgba(107,85,148,.06);--bpi-dup-overlay:rgba(179,38,30,.12);--bpi-editor-bg:#fff}
|
||||
.dark-theme{--bpi-custom-bg:#17342c;--bpi-custom-border:#3f8f77;--bpi-custom-text:#7fdcbd;--bpi-surface:rgba(10,12,18,.72);--bpi-surface-2:#171b22;--bpi-surface-3:#14181f;--bpi-surface-table:#11151b;--bpi-surface-modal:#20252d;--bpi-text:#e6edf7;--bpi-text-muted:#aab5c5;--bpi-text-faint:#7f8a9a;--bpi-border:#3a4250;--bpi-border-2:#4c5668;--bpi-border-3:#29313d;--bpi-button-bg:#2c3340;--bpi-button-text:#e8edf5;--bpi-input-bg:#171b22;--bpi-input-text:#eef3fb;--bpi-head-bg:#252c36;--bpi-danger-bg:#65313b;--bpi-danger-bg-hover:#7d3d49;--bpi-danger-border:#8d4653;--bpi-danger-text:#ffd9de;--bpi-break-bg:#17342c;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#3f8f77;--bpi-break-text:#7fdcbd;--bpi-primary-bg:#285f8e;--bpi-primary-bg-hover:#346f9f;--bpi-primary-border:#3f83ba;--bpi-primary-text:#eaf3fb;--bpi-en-head-text:#cbe8ff;--bpi-en-hint-text:#91b4cf;--bpi-zh-head-text:#cbe9c8;--bpi-zh-hint-text:#91ad93;--bpi-cat-name-text:#9ee8a7;--bpi-info-text:#87bfea;--bpi-link-text:#76c9ff;--bpi-zh-text:#9ed0ff;--bpi-status-error:#ff8b93;--bpi-status-ok:#7fdda2;--bpi-status-busy:#ffd27a;--bpi-badge-warn:#e2ca78;--bpi-badge-source:#86d5c4;--bpi-badge-suspected:#7fc4e0;--bpi-badge-machine:#cbb1ff;--bpi-star-on:#ffd45f;--bpi-star-off:#8f9aaa;--bpi-quick-head-text:#d9ccff;--bpi-quick-hint-text:#a795c6;--bpi-handle-text:#7194ad;--bpi-handle-hover:#a9c8e4;--bpi-mini-hover-bg:#3c4b60;--bpi-handle-hover-bg:#2b3a4d;--bpi-chip-hide-bg:#1d2937;--bpi-waiting-bg:rgba(70,52,25,.5);--bpi-waiting-border:#8a5f16;--bpi-hidden-chip-hover-bg:#31404f;--bpi-issues-bg:rgba(55,39,25,.55);--bpi-issues-border:#5b4a36;--bpi-issue-text:#e6c792;--bpi-row-hover-overlay:rgba(76,167,232,.34);--bpi-row-pinned-overlay:#314b68;--bpi-row-hover-ring:rgba(76,167,232,.7);--bpi-row-pinned-ring:#76c9ff;--bpi-row-hover-text:#fff;--bpi-row-hover-shadow:0 0 7px rgba(109,190,255,.6);--bpi-row-selected-bg:#314b68;--bpi-en-section-bg:rgba(76,167,232,.08);--bpi-quick-section-bg:rgba(167,149,198,.08);--bpi-dup-overlay:rgba(255,139,147,.22);--bpi-editor-bg:#111923}
|
||||
[data-bpi-theme="dark"]{--bpi-custom-bg:#17342c;--bpi-custom-border:#3f8f77;--bpi-custom-text:#7fdcbd;--bpi-surface:rgba(10,12,18,.72);--bpi-surface-2:#171b22;--bpi-surface-3:#14181f;--bpi-surface-table:#11151b;--bpi-surface-modal:#20252d;--bpi-text:#e6edf7;--bpi-text-muted:#aab5c5;--bpi-text-faint:#7f8a9a;--bpi-border:#3a4250;--bpi-border-2:#4c5668;--bpi-border-3:#29313d;--bpi-button-bg:#2c3340;--bpi-button-text:#e8edf5;--bpi-input-bg:#171b22;--bpi-input-text:#eef3fb;--bpi-head-bg:#252c36;--bpi-danger-bg:#65313b;--bpi-danger-bg-hover:#7d3d49;--bpi-danger-border:#8d4653;--bpi-danger-text:#ffd9de;--bpi-break-bg:#17342c;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#3f8f77;--bpi-break-text:#7fdcbd;--bpi-primary-bg:#285f8e;--bpi-primary-bg-hover:#346f9f;--bpi-primary-border:#3f83ba;--bpi-primary-text:#eaf3fb;--bpi-en-head-text:#cbe8ff;--bpi-en-hint-text:#91b4cf;--bpi-zh-head-text:#cbe9c8;--bpi-zh-hint-text:#91ad93;--bpi-cat-name-text:#9ee8a7;--bpi-info-text:#87bfea;--bpi-link-text:#76c9ff;--bpi-zh-text:#9ed0ff;--bpi-status-error:#ff8b93;--bpi-status-ok:#7fdda2;--bpi-status-busy:#ffd27a;--bpi-badge-warn:#e2ca78;--bpi-badge-source:#86d5c4;--bpi-badge-suspected:#7fc4e0;--bpi-badge-machine:#cbb1ff;--bpi-star-on:#ffd45f;--bpi-star-off:#8f9aaa;--bpi-quick-head-text:#d9ccff;--bpi-quick-hint-text:#a795c6;--bpi-handle-text:#7194ad;--bpi-handle-hover:#a9c8e4;--bpi-mini-hover-bg:#3c4b60;--bpi-handle-hover-bg:#2b3a4d;--bpi-chip-hide-bg:#1d2937;--bpi-waiting-bg:rgba(70,52,25,.5);--bpi-waiting-border:#8a5f16;--bpi-hidden-chip-hover-bg:#31404f;--bpi-issues-bg:rgba(55,39,25,.55);--bpi-issues-border:#5b4a36;--bpi-issue-text:#e6c792;--bpi-row-hover-overlay:rgba(76,167,232,.34);--bpi-row-pinned-overlay:#314b68;--bpi-row-hover-ring:rgba(76,167,232,.7);--bpi-row-pinned-ring:#76c9ff;--bpi-row-hover-text:#fff;--bpi-row-hover-shadow:0 0 7px rgba(109,190,255,.6);--bpi-row-selected-bg:#314b68;--bpi-en-section-bg:rgba(76,167,232,.08);--bpi-quick-section-bg:rgba(167,149,198,.08);--bpi-dup-overlay:rgba(255,139,147,.22);--bpi-editor-bg:#111923}
|
||||
[data-bpi-theme="light"]{--bpi-custom-bg:#e6f6f1;--bpi-custom-border:#7fc9b0;--bpi-custom-text:#0f6e56;--bpi-surface:rgba(255,255,255,.92);--bpi-surface-2:#f5f5f5;--bpi-surface-3:#eaeaea;--bpi-surface-table:#f0f0f0;--bpi-surface-modal:#fff;--bpi-text:#333;--bpi-text-muted:#666;--bpi-text-faint:#999;--bpi-border:#ccc;--bpi-border-2:#bbb;--bpi-border-3:#e0e0e0;--bpi-button-bg:#e8e8e8;--bpi-button-text:#333;--bpi-input-bg:#fff;--bpi-input-text:#333;--bpi-head-bg:#e8e8e8;--bpi-danger-bg:#c0392b;--bpi-danger-bg-hover:#a53023;--bpi-danger-border:#a53023;--bpi-danger-text:#fff;--bpi-break-bg:#e6f6f1;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#7fc9b0;--bpi-break-text:#0f6e56;--bpi-primary-bg:#2b6cb0;--bpi-primary-bg-hover:#245a94;--bpi-primary-border:#1e4f85;--bpi-primary-text:#fff;--bpi-en-head-text:#17557f;--bpi-en-hint-text:#5b7f9e;--bpi-zh-head-text:#1f5c22;--bpi-zh-hint-text:#5b7d5e;--bpi-cat-name-text:#1e5a28;--bpi-info-text:#1f5f96;--bpi-link-text:#1a5f96;--bpi-zh-text:#18508a;--bpi-status-error:#b3261e;--bpi-status-ok:#1a7f45;--bpi-status-busy:#8a5a00;--bpi-badge-warn:#8a5a00;--bpi-badge-source:#0f6e56;--bpi-badge-suspected:#1c5f80;--bpi-badge-machine:#5b3fa8;--bpi-star-on:#a8750a;--bpi-star-off:#6b7280;--bpi-quick-head-text:#4a3a7a;--bpi-quick-hint-text:#6b5a8f;--bpi-handle-text:#4a6a85;--bpi-handle-hover:#1f5f96;--bpi-mini-hover-bg:#d8dee7;--bpi-handle-hover-bg:#e2e8ef;--bpi-chip-hide-bg:#eef1f5;--bpi-waiting-bg:#fdf1dc;--bpi-waiting-border:#d9a95a;--bpi-hidden-chip-hover-bg:#e8eef5;--bpi-issues-bg:#fdf6e8;--bpi-issues-border:#d9b98a;--bpi-issue-text:#7a5410;--bpi-row-hover-overlay:rgba(47,108,176,.06);--bpi-row-pinned-overlay:#cfe3f7;--bpi-row-hover-ring:rgba(47,108,176,.55);--bpi-row-pinned-ring:#1a5f96;--bpi-row-hover-text:#1f1f1f;--bpi-row-hover-shadow:none;--bpi-row-selected-bg:#dcebf8;--bpi-en-section-bg:rgba(43,108,176,.06);--bpi-quick-section-bg:rgba(107,85,148,.06);--bpi-dup-overlay:rgba(179,38,30,.12);--bpi-editor-bg:#fff}
|
||||
.bpi-panel{box-sizing:border-box;width:100%;height:100%;min-height:var(--bpi-collapsed-height,390px);max-height:var(--bpi-collapsed-height,390px);padding:8px;display:flex;flex-direction:column;gap:7px;color:var(--bpi-text);font:12px/1.4 Arial,sans-serif;background:var(--bpi-surface);border:1px solid var(--bpi-border);border-radius:8px;overflow-y:auto;scrollbar-gutter:stable}
|
||||
:root{--bpi-field-bg:#fff;--bpi-field-border:#bbb;--bpi-switch-off:#c9ced6;--bpi-switch-knob:#fff;--bpi-switch-off-border:#b0b6bf;--bpm-accent:#45926f;--bpm-accent-hover:#3a7d5e;--bpm-accent-border:#35755a;--bpi-custom-bg:#e6f6f1;--bpi-custom-border:#7fc9b0;--bpi-custom-text:#0f6e56;--bpi-surface:rgba(255,255,255,.92);--bpi-surface-2:#f5f5f5;--bpi-surface-3:#eaeaea;--bpi-surface-table:#f0f0f0;--bpi-surface-modal:#fff;--bpi-text:#333;--bpi-text-muted:#666;--bpi-text-faint:#999;--bpi-border:#ccc;--bpi-border-2:#bbb;--bpi-border-3:#e0e0e0;--bpi-button-bg:#e8e8e8;--bpi-button-text:#333;--bpi-input-bg:#fff;--bpi-input-text:#333;--bpi-head-bg:#e8e8e8;--bpi-danger-bg:#c0392b;--bpi-danger-bg-hover:#a53023;--bpi-danger-border:#a53023;--bpi-danger-text:#fff;--bpi-break-bg:#e6f6f1;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#7fc9b0;--bpi-break-text:#0f6e56;--bpi-primary-bg:#2b6cb0;--bpi-primary-bg-hover:#245a94;--bpi-primary-border:#1e4f85;--bpi-primary-text:#fff;--bpi-en-head-text:#17557f;--bpi-en-hint-text:#5b7f9e;--bpi-zh-head-text:#1f5c22;--bpi-zh-hint-text:#5b7d5e;--bpi-cat-name-text:#1e5a28;--bpi-info-text:#1f5f96;--bpi-link-text:#1a5f96;--bpi-zh-text:#18508a;--bpi-status-error:#b3261e;--bpi-status-ok:#1a7f45;--bpi-status-busy:#8a5a00;--bpi-badge-warn:#8a5a00;--bpi-badge-source:#0f6e56;--bpi-badge-suspected:#1c5f80;--bpi-badge-machine:#5b3fa8;--bpi-star-on:#a8750a;--bpi-star-off:#6b7280;--bpi-quick-head-text:#4a3a7a;--bpi-quick-hint-text:#6b5a8f;--bpi-handle-text:#4a6a85;--bpi-handle-hover:#1f5f96;--bpi-mini-hover-bg:#d8dee7;--bpi-handle-hover-bg:#e2e8ef;--bpi-chip-hide-bg:#eef1f5;--bpi-waiting-bg:#fdf1dc;--bpi-waiting-border:#d9a95a;--bpi-hidden-chip-hover-bg:#e8eef5;--bpi-issues-bg:#fdf6e8;--bpi-issues-border:#d9b98a;--bpi-issue-text:#7a5410;--bpi-row-hover-overlay:rgba(47,108,176,.06);--bpi-row-pinned-overlay:#cfe3f7;--bpi-row-hover-ring:rgba(47,108,176,.55);--bpi-row-pinned-ring:#1a5f96;--bpi-row-hover-text:#1f1f1f;--bpi-row-hover-shadow:none;--bpi-row-selected-bg:#dcebf8;--bpi-en-section-bg:rgba(43,108,176,.06);--bpi-quick-section-bg:rgba(107,85,148,.06);--bpi-dup-overlay:rgba(179,38,30,.12);--bpi-editor-bg:#fff;--bpi-hit-bg:#fbe49c;--bpi-hit-text:#7a5410}
|
||||
.dark-theme{--bpi-field-bg:#0b0d10;--bpi-field-border:#333a45;--bpi-switch-off:#39414f;--bpi-switch-knob:#e8edf5;--bpi-switch-off-border:#4c5668;--bpi-custom-bg:#17342c;--bpi-custom-border:#3f8f77;--bpi-custom-text:#7fdcbd;--bpi-surface:rgba(10,12,18,.72);--bpi-surface-2:#171b22;--bpi-surface-3:#14181f;--bpi-surface-table:#11151b;--bpi-surface-modal:#20252d;--bpi-text:#e6edf7;--bpi-text-muted:#aab5c5;--bpi-text-faint:#7f8a9a;--bpi-border:#3a4250;--bpi-border-2:#4c5668;--bpi-border-3:#29313d;--bpi-button-bg:#2c3340;--bpi-button-text:#e8edf5;--bpi-input-bg:#171b22;--bpi-input-text:#eef3fb;--bpi-head-bg:#252c36;--bpi-danger-bg:#65313b;--bpi-danger-bg-hover:#7d3d49;--bpi-danger-border:#8d4653;--bpi-danger-text:#ffd9de;--bpi-break-bg:#17342c;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#3f8f77;--bpi-break-text:#7fdcbd;--bpi-primary-bg:#285f8e;--bpi-primary-bg-hover:#346f9f;--bpi-primary-border:#3f83ba;--bpi-primary-text:#eaf3fb;--bpi-en-head-text:#cbe8ff;--bpi-en-hint-text:#91b4cf;--bpi-zh-head-text:#cbe9c8;--bpi-zh-hint-text:#91ad93;--bpi-cat-name-text:#9ee8a7;--bpi-info-text:#87bfea;--bpi-link-text:#76c9ff;--bpi-zh-text:#9ed0ff;--bpi-status-error:#ff8b93;--bpi-status-ok:#7fdda2;--bpi-status-busy:#ffd27a;--bpi-badge-warn:#e2ca78;--bpi-badge-source:#86d5c4;--bpi-badge-suspected:#7fc4e0;--bpi-badge-machine:#cbb1ff;--bpi-star-on:#ffd45f;--bpi-star-off:#8f9aaa;--bpi-quick-head-text:#d9ccff;--bpi-quick-hint-text:#a795c6;--bpi-handle-text:#7194ad;--bpi-handle-hover:#a9c8e4;--bpi-mini-hover-bg:#3c4b60;--bpi-handle-hover-bg:#2b3a4d;--bpi-chip-hide-bg:#1d2937;--bpi-waiting-bg:rgba(70,52,25,.5);--bpi-waiting-border:#8a5f16;--bpi-hidden-chip-hover-bg:#31404f;--bpi-issues-bg:rgba(55,39,25,.55);--bpi-issues-border:#5b4a36;--bpi-issue-text:#e6c792;--bpi-row-hover-overlay:rgba(76,167,232,.34);--bpi-row-pinned-overlay:#314b68;--bpi-row-hover-ring:rgba(76,167,232,.7);--bpi-row-pinned-ring:#76c9ff;--bpi-row-hover-text:#fff;--bpi-row-hover-shadow:0 0 7px rgba(109,190,255,.6);--bpi-row-selected-bg:#314b68;--bpi-en-section-bg:rgba(76,167,232,.08);--bpi-quick-section-bg:rgba(167,149,198,.08);--bpi-dup-overlay:rgba(255,139,147,.22);--bpi-editor-bg:#111923;--bpi-hit-bg:#5a4413;--bpi-hit-text:#ffe6a8}
|
||||
[data-bpi-theme="dark"]{--bpi-field-bg:#0b0d10;--bpi-field-border:#333a45;--bpi-switch-off:#39414f;--bpi-switch-knob:#e8edf5;--bpi-switch-off-border:#4c5668;--bpi-custom-bg:#17342c;--bpi-custom-border:#3f8f77;--bpi-custom-text:#7fdcbd;--bpi-surface:rgba(10,12,18,.72);--bpi-surface-2:#171b22;--bpi-surface-3:#14181f;--bpi-surface-table:#11151b;--bpi-surface-modal:#20252d;--bpi-text:#e6edf7;--bpi-text-muted:#aab5c5;--bpi-text-faint:#7f8a9a;--bpi-border:#3a4250;--bpi-border-2:#4c5668;--bpi-border-3:#29313d;--bpi-button-bg:#2c3340;--bpi-button-text:#e8edf5;--bpi-input-bg:#171b22;--bpi-input-text:#eef3fb;--bpi-head-bg:#252c36;--bpi-danger-bg:#65313b;--bpi-danger-bg-hover:#7d3d49;--bpi-danger-border:#8d4653;--bpi-danger-text:#ffd9de;--bpi-break-bg:#17342c;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#3f8f77;--bpi-break-text:#7fdcbd;--bpi-primary-bg:#285f8e;--bpi-primary-bg-hover:#346f9f;--bpi-primary-border:#3f83ba;--bpi-primary-text:#eaf3fb;--bpi-en-head-text:#cbe8ff;--bpi-en-hint-text:#91b4cf;--bpi-zh-head-text:#cbe9c8;--bpi-zh-hint-text:#91ad93;--bpi-cat-name-text:#9ee8a7;--bpi-info-text:#87bfea;--bpi-link-text:#76c9ff;--bpi-zh-text:#9ed0ff;--bpi-status-error:#ff8b93;--bpi-status-ok:#7fdda2;--bpi-status-busy:#ffd27a;--bpi-badge-warn:#e2ca78;--bpi-badge-source:#86d5c4;--bpi-badge-suspected:#7fc4e0;--bpi-badge-machine:#cbb1ff;--bpi-star-on:#ffd45f;--bpi-star-off:#8f9aaa;--bpi-quick-head-text:#d9ccff;--bpi-quick-hint-text:#a795c6;--bpi-handle-text:#7194ad;--bpi-handle-hover:#a9c8e4;--bpi-mini-hover-bg:#3c4b60;--bpi-handle-hover-bg:#2b3a4d;--bpi-chip-hide-bg:#1d2937;--bpi-waiting-bg:rgba(70,52,25,.5);--bpi-waiting-border:#8a5f16;--bpi-hidden-chip-hover-bg:#31404f;--bpi-issues-bg:rgba(55,39,25,.55);--bpi-issues-border:#5b4a36;--bpi-issue-text:#e6c792;--bpi-row-hover-overlay:rgba(76,167,232,.34);--bpi-row-pinned-overlay:#314b68;--bpi-row-hover-ring:rgba(76,167,232,.7);--bpi-row-pinned-ring:#76c9ff;--bpi-row-hover-text:#fff;--bpi-row-hover-shadow:0 0 7px rgba(109,190,255,.6);--bpi-row-selected-bg:#314b68;--bpi-en-section-bg:rgba(76,167,232,.08);--bpi-quick-section-bg:rgba(167,149,198,.08);--bpi-dup-overlay:rgba(255,139,147,.22);--bpi-editor-bg:#111923;--bpi-hit-bg:#5a4413;--bpi-hit-text:#ffe6a8}
|
||||
[data-bpi-theme="light"]{--bpi-field-bg:#fff;--bpi-field-border:#bbb;--bpi-switch-off:#c9ced6;--bpi-switch-knob:#fff;--bpi-switch-off-border:#b0b6bf;--bpi-custom-bg:#e6f6f1;--bpi-custom-border:#7fc9b0;--bpi-custom-text:#0f6e56;--bpi-surface:rgba(255,255,255,.92);--bpi-surface-2:#f5f5f5;--bpi-surface-3:#eaeaea;--bpi-surface-table:#f0f0f0;--bpi-surface-modal:#fff;--bpi-text:#333;--bpi-text-muted:#666;--bpi-text-faint:#999;--bpi-border:#ccc;--bpi-border-2:#bbb;--bpi-border-3:#e0e0e0;--bpi-button-bg:#e8e8e8;--bpi-button-text:#333;--bpi-input-bg:#fff;--bpi-input-text:#333;--bpi-head-bg:#e8e8e8;--bpi-danger-bg:#c0392b;--bpi-danger-bg-hover:#a53023;--bpi-danger-border:#a53023;--bpi-danger-text:#fff;--bpi-break-bg:#e6f6f1;--bpi-break-bg-hover:#0f6e56;--bpi-break-border:#7fc9b0;--bpi-break-text:#0f6e56;--bpi-primary-bg:#2b6cb0;--bpi-primary-bg-hover:#245a94;--bpi-primary-border:#1e4f85;--bpi-primary-text:#fff;--bpi-en-head-text:#17557f;--bpi-en-hint-text:#5b7f9e;--bpi-zh-head-text:#1f5c22;--bpi-zh-hint-text:#5b7d5e;--bpi-cat-name-text:#1e5a28;--bpi-info-text:#1f5f96;--bpi-link-text:#1a5f96;--bpi-zh-text:#18508a;--bpi-status-error:#b3261e;--bpi-status-ok:#1a7f45;--bpi-status-busy:#8a5a00;--bpi-badge-warn:#8a5a00;--bpi-badge-source:#0f6e56;--bpi-badge-suspected:#1c5f80;--bpi-badge-machine:#5b3fa8;--bpi-star-on:#a8750a;--bpi-star-off:#6b7280;--bpi-quick-head-text:#4a3a7a;--bpi-quick-hint-text:#6b5a8f;--bpi-handle-text:#4a6a85;--bpi-handle-hover:#1f5f96;--bpi-mini-hover-bg:#d8dee7;--bpi-handle-hover-bg:#e2e8ef;--bpi-chip-hide-bg:#eef1f5;--bpi-waiting-bg:#fdf1dc;--bpi-waiting-border:#d9a95a;--bpi-hidden-chip-hover-bg:#e8eef5;--bpi-issues-bg:#fdf6e8;--bpi-issues-border:#d9b98a;--bpi-issue-text:#7a5410;--bpi-row-hover-overlay:rgba(47,108,176,.06);--bpi-row-pinned-overlay:#cfe3f7;--bpi-row-hover-ring:rgba(47,108,176,.55);--bpi-row-pinned-ring:#1a5f96;--bpi-row-hover-text:#1f1f1f;--bpi-row-hover-shadow:none;--bpi-row-selected-bg:#dcebf8;--bpi-en-section-bg:rgba(43,108,176,.06);--bpi-quick-section-bg:rgba(107,85,148,.06);--bpi-dup-overlay:rgba(179,38,30,.12);--bpi-editor-bg:#fff;--bpi-hit-bg:#fbe49c;--bpi-hit-text:#7a5410}
|
||||
.bpi-panel{box-sizing:border-box;width:100%;height:100%;min-height:var(--bpi-collapsed-height,390px);max-height:var(--bpi-collapsed-height,390px);padding:8px;display:flex;flex-direction:column;gap:7px;color:var(--bpi-text);font:12px/1.4 Arial,sans-serif;background:var(--bpi-surface);border:1px solid var(--bpi-border);border-radius:8px;overflow-y:auto;scrollbar-gutter:stable}.bpi-panel.bpi-fill{max-height:none}.bpi-panel.bpi-fill > .bpi-english-section{display:flex;flex-direction:column;flex:1 1 auto;min-height:0}.bpi-panel.bpi-fill > .bpi-english-section > *{flex:none}.bpi-panel.bpi-fill > .bpi-english-section > .bpi-english-token-view{flex:1 1 auto;min-height:92px;max-height:none}.bpi-panel.bpi-fill > .bpi-english-section > .bpi-english-editor{flex:1 1 auto;min-height:120px}
|
||||
.bpi-english-section{flex:none;border:1px solid #3e7197;border-radius:7px;background-color:var(--bpi-en-section-bg);overflow:hidden}.bpi-english-head{display:flex;align-items:center;gap:7px;padding:5px 8px;background:var(--bpi-head-bg);color:var(--bpi-en-head-text);font-weight:700;flex-wrap:wrap}.bpi-english-hint{margin-left:auto;color:var(--bpi-en-hint-text);font-size:10px;font-weight:400}.bpi-english-token-view{box-sizing:border-box;width:100%;height:auto;min-height:92px;max-height:360px;overflow:auto;scrollbar-gutter:stable;padding:8px 9px;outline:none;color:var(--bpi-text);font:12px/1.85 Consolas,monospace;white-space:normal}.bpi-english-token-view:focus{box-shadow:inset 0 0 0 1px #5aa6d8}.bpi-english-editor{box-sizing:border-box;width:100%;height:120px;min-height:92px;max-height:420px;overflow-y:auto;resize:vertical;border:0;border-top:1px solid #3e7197;background-color:transparent;color:var(--bpi-text);padding:9px;outline:none;font:12px/1.55 Consolas,monospace}.bpi-english-editor:focus{box-shadow:inset 0 0 0 1px #5aa6d8}.bpi-english-token{font-family:Consolas,monospace;color:var(--bpi-text)}.bpi-english-token.bpi-linked{background:#147fc3;border-color:#76c9ff;color:#fff;box-shadow:0 0 0 1px rgba(118,201,255,.32)}
|
||||
.bpi-mirror-section{flex:none;border:1px solid #488739;border-radius:7px;background:var(--bpi-surface);overflow:visible}.bpi-section-head{display:flex;align-items:center;gap:7px;padding:5px 8px;background:var(--bpi-head-bg);color:var(--bpi-zh-head-text);font-weight:700;flex-wrap:wrap}.bpi-section-hint{margin-left:auto;color:var(--bpi-zh-hint-text);font-size:10px;font-weight:400}.bpi-mirror-actions{display:flex;gap:4px;align-items:center;flex-wrap:wrap}.bpi-chinese-mirror{box-sizing:border-box;width:100%;height:auto;min-height:92px;max-height:360px;overflow:auto;resize:none;scrollbar-gutter:stable;padding:8px 9px;outline:none;color:var(--bpi-text);line-height:1.85;cursor:text;white-space:normal}.bpi-chinese-mirror:focus{box-shadow:inset 0 0 0 1px #70b35f}.bpi-category-table{display:grid;grid-template-columns:minmax(110px,150px) minmax(0,1fr);border:1px solid #315f3a;border-radius:6px;overflow:hidden;background:var(--bpi-surface-3)}.bpi-category-row{display:contents}.bpi-category-name,.bpi-category-content{padding:6px 8px;border-top:1px solid #31513a}.bpi-category-row:first-child .bpi-category-name,.bpi-category-row:first-child .bpi-category-content{border-top:0}.bpi-category-name{background:var(--bpi-head-bg);border-right:1px solid #31513a;color:var(--bpi-cat-name-text);font-weight:700}.bpi-category-content{min-width:0}.bpi-chinese-editor{box-sizing:border-box;width:100%;height:auto;min-height:110px;max-height:600px;overflow-y:auto;resize:vertical;border:0;border-top:1px solid #3b693c;background:var(--bpi-editor-bg);color:var(--bpi-text);padding:9px;outline:none;font:12px/1.65 Arial,sans-serif}.bpi-chinese-editor:focus{box-shadow:inset 0 0 0 1px #70b35f}.bpi-hidden{display:none!important}.bpi-mirror-empty{color:var(--bpi-text-muted)}.bpi-mirror-token{display:inline-flex;align-items:center;border:1px solid transparent;border-radius:5px;padding:0 3px;margin:1px 0;cursor:pointer;transition:background .12s,border-color .12s,color .12s}.bpi-mirror-token:hover{background:#345a3b;border-color:#5c8d63;color:#fff}.bpi-mirror-token.bpi-linked{background:#315f83;border-color:#76a9ff;color:#fff}
|
||||
.bpi-mirror-token.bpi-linked,.bpi-english-token.bpi-linked{background:#147fc3;border-color:#76c9ff;color:#fff;box-shadow:0 0 0 1px rgba(118,201,255,.32)}.bpi-english-token-view .bpi-mirror-separator{color:#7194ad}
|
||||
@@ -1231,11 +1239,12 @@ function injectBpiStyles() {
|
||||
.bpi-summary{color:var(--bpi-text-muted);font-size:11px;min-height:17px}.bpi-status{margin-left:auto}.bpi-status[data-kind="error"]{color:var(--bpi-status-error)}.bpi-status[data-kind="ok"]{color:var(--bpi-status-ok)}.bpi-status[data-kind="busy"]{color:var(--bpi-status-busy)}
|
||||
.bpi-issues{display:none;max-height:105px;overflow:auto;border:1px solid var(--bpi-issues-border);border-radius:6px;background:var(--bpi-issues-bg);padding:4px 6px}.bpi-issues.bpi-visible{display:block}.bpi-issue{padding:2px 4px;color:var(--bpi-issue-text)}.bpi-issue[data-severity="error"]{color:var(--bpi-status-error)}.bpi-issue[data-severity="info"]{color:var(--bpi-info-text)}.bpi-issue::before{content:"⚠ ";}.bpi-issue[data-severity="error"]::before{content:"⛔ ";}.bpi-issue[data-severity="info"]::before{content:"ℹ ";}
|
||||
.bpi-search-label{color:var(--bpi-text-muted);font-size:10px;white-space:nowrap}.bpi-results{display:none;max-height:220px;overflow:auto;border:1px solid var(--bpi-border-2);border-radius:6px;background:var(--bpi-surface-2)}.bpi-results.bpi-visible{display:block}.bpi-result{display:grid;grid-template-columns:minmax(0,1fr) minmax(0,1fr) minmax(150px,auto);gap:7px;padding:5px 7px;border-bottom:1px solid var(--bpi-border-3);cursor:pointer}.bpi-result:last-child{border-bottom:0}.bpi-result:hover{background:var(--bpi-surface-3)}.bpi-result-en{color:var(--bpi-text)}.bpi-result-zh{color:var(--bpi-zh-text)}.bpi-category{color:var(--bpi-text-muted);font-size:10px;white-space:normal}.bpi-search-reason{display:block;color:var(--bpi-info-text);margin-top:2px}.bpi-search-more{display:block;margin:7px auto}.bpi-results>.bpi-searching{text-align:center}
|
||||
.bpi-table{position:relative;height:300px;min-height:180px;max-height:360px;flex:1 1 300px;overflow-x:hidden;overflow-y:scroll;scrollbar-gutter:stable;border:1px solid var(--bpi-border-2);border-radius:6px;background:var(--bpi-surface-table)}.bpi-split-handle{position:absolute;top:0;bottom:0;left:var(--bpi-split,40%);width:9px;margin-left:-4px;cursor:col-resize;z-index:4}.bpi-split-handle:hover{background:rgba(76,167,232,.35)}.bpi-head,.bpi-row{display:grid;grid-template-columns:var(--bpi-split,minmax(0,2fr)) minmax(0,1fr);gap:1px}.bpi-head{position:sticky;top:0;z-index:2;background:var(--bpi-head-bg);color:var(--bpi-text-muted);font-weight:700}.bpi-head>div,.bpi-cell{padding:6px 8px}.bpi-head>div+div,.bpi-cell+.bpi-cell{border-left:1px solid var(--bpi-border-2)}
|
||||
.bpi-table{position:relative;height:300px;min-height:180px;max-height:360px;flex:1 1 300px;overflow-x:hidden;overflow-y:scroll;scrollbar-gutter:stable;border:1px solid var(--bpi-border-2);border-radius:0 0 6px 6px;background:var(--bpi-surface-table)}.bpi-split-handle{position:absolute;top:0;bottom:0;left:var(--bpi-split,40%);width:9px;margin-left:-4px;cursor:col-resize;z-index:4}.bpi-split-handle:hover{background:rgba(76,167,232,.35)}.bpi-head,.bpi-row{display:grid;grid-template-columns:var(--bpi-split,minmax(0,2fr)) minmax(0,1fr);gap:1px}.bpi-head{position:sticky;top:0;z-index:2;background:var(--bpi-head-bg);color:var(--bpi-text-muted);font-weight:700}.bpi-head>div,.bpi-cell{padding:6px 8px}.bpi-head>div+div,.bpi-cell+.bpi-cell{border-left:1px solid var(--bpi-border-2)}
|
||||
.bpi-row{border-top:1px solid var(--bpi-border-3);cursor:pointer}.bpi-row:hover{background-image:linear-gradient(var(--bpi-row-hover-overlay),var(--bpi-row-hover-overlay));outline:1px dashed var(--bpi-row-hover-ring);outline-offset:-1px}.bpi-row.bpi-pinned{background-image:linear-gradient(var(--bpi-row-pinned-overlay),var(--bpi-row-pinned-overlay));outline:1px solid var(--bpi-row-pinned-ring);outline-offset:-1px;font-weight:500}.bpi-row:hover .bpi-cell,.bpi-row.bpi-pinned .bpi-cell{color:var(--bpi-row-hover-text)}.bpi-row.bpi-unknown{background-color:rgba(112,70,28,.18)}.bpi-row.bpi-machine{background-color:rgba(85,62,131,.22)}.bpi-row.bpi-suspected-natural{background-color:rgba(58,132,160,.20)}.bpi-row.bpi-has-warning{box-shadow:inset 3px 0 #d39845}.bpi-row.bpi-has-error{box-shadow:inset 3px 0 #e35b66}
|
||||
.bpi-cell{min-width:0;word-break:break-word;display:flex;align-items:flex-start;gap:5px}.bpi-en{color:var(--bpi-text);font-family:Consolas,monospace}.bpi-zh{color:var(--bpi-zh-text)}.bpi-row:hover .bpi-en,.bpi-row:hover .bpi-zh,.bpi-row.bpi-pinned .bpi-en,.bpi-row.bpi-pinned .bpi-zh{color:var(--bpi-row-hover-text);text-shadow:var(--bpi-row-hover-shadow)}
|
||||
.bpi-badge{flex:none;border:1px solid var(--bpi-border-2);border-radius:8px;padding:0 5px;color:var(--bpi-text-muted);font-size:9px;line-height:15px}.bpi-source{border-color:#3e6f67;color:var(--bpi-badge-source)}.bpi-suspected{border-color:#3a84a0;color:var(--bpi-badge-suspected)}.bpi-confidence-high{border-color:#3f785c;color:var(--bpi-status-ok)}.bpi-confidence-medium{border-color:#8a7538;color:var(--bpi-badge-warn)}.bpi-confidence-low,.bpi-confidence-none{border-color:#7a4c55;color:var(--bpi-status-error)}.bpi-unknown .bpi-badge{color:var(--bpi-badge-warn);border-color:#85602f}.bpi-machine .bpi-badge{color:var(--bpi-badge-machine);border-color:#6b5594}.bpi-inline-actions{display:flex;gap:3px;margin-left:auto;flex-wrap:wrap}.bpi-mini{border:1px solid var(--bpi-border-2);border-radius:4px;background:var(--bpi-button-bg);color:var(--bpi-button-text);padding:1px 5px;cursor:pointer;font-size:9px}.bpi-mini:hover{background:var(--bpi-mini-hover-bg)}.bpi-inline-editor{min-width:90px;flex:1;border:1px solid #4ca7e8;border-radius:4px;background:var(--bpi-input-bg);color:var(--bpi-input-text);padding:3px 5px}.bpi-empty{padding:24px;text-align:center;color:var(--bpi-text-faint)}
|
||||
.bpi-filters{display:flex;gap:4px;align-items:center;flex-wrap:wrap}
|
||||
.bpi-table-search{flex:none;display:flex;align-items:center;gap:6px;box-sizing:border-box;padding:4px 6px;margin-bottom:-7px;border:1px solid var(--bpi-border-2);border-bottom:0;border-radius:6px 6px 0 0;background-color:var(--bpi-head-bg)}.bpi-table-search-icon{flex:none;display:inline-flex;color:var(--bpi-text-faint)}.bpi-search.bpi-table-search-input{flex:1;min-width:0;padding:3px 6px}.bpi-table-search-count{flex:none;color:var(--bpi-text-muted);font-size:10px;white-space:nowrap}.bpi-table-search-clear{flex:none;display:none;border:0;background-color:transparent;color:var(--bpi-text-muted);cursor:pointer;font-size:13px;line-height:1;padding:1px 3px;border-radius:3px}.bpi-table-search-clear.bpi-visible{display:block}.bpi-table-search-clear:hover{color:var(--bpi-text);background-color:var(--bpi-border-3)}.bpi-hit{background-color:var(--bpi-hit-bg);color:var(--bpi-hit-text);border-radius:2px}
|
||||
.bpi-batch-bar{flex:none;gap:8px;padding:6px 8px;margin-bottom:6px;border:1px solid var(--bpi-border-2);border-radius:6px;background:var(--bpi-surface-3)}.bpi-filter-active{background:#365f84;border-color:#5792c4;color:#fff}.bpi-star{color:var(--bpi-star-off)}.bpi-star.bpi-starred{color:var(--bpi-star-on);border-color:#8f772f}.bpi-result.bpi-result-selected{background:var(--bpi-row-selected-bg);outline:1px solid var(--bpi-link-text)}.bpi-result-star{font-size:14px;color:var(--bpi-star-off);align-self:center}.bpi-result-star.bpi-starred{color:var(--bpi-star-on)}
|
||||
.bpi-quick-section{flex:none;border:1px solid #6b5594;border-radius:7px;background-color:var(--bpi-quick-section-bg);overflow:hidden}.bpi-quick-head{display:flex;align-items:center;gap:7px;padding:5px 8px;background:var(--bpi-head-bg);color:var(--bpi-quick-head-text);font-weight:700;flex-wrap:wrap}.bpi-quick-hint{margin-left:auto;color:var(--bpi-quick-hint-text);font-size:10px;font-weight:400}.bpi-quick-target{padding:0 8px 6px;font-size:11px;color:var(--bpi-text-muted)}.bpi-quick-target-linked{color:var(--bpi-link-text)}.bpi-quick-row{display:flex;gap:6px;align-items:flex-start;padding:6px 8px}.bpi-quick-input{flex:1;min-width:0;box-sizing:border-box;height:44px;min-height:44px;max-height:140px;overflow-y:auto;resize:vertical;border:1px solid var(--bpi-border-2);border-radius:5px;background:var(--bpi-input-bg);color:var(--bpi-input-text);padding:5px 7px;outline:none;font:12px/1.55 Arial,sans-serif}.bpi-quick-input:focus{box-shadow:inset 0 0 0 1px #a98be0}.bpi-quick-row .bpi-button{flex:none}
|
||||
.bpi-drag-handle{flex:none;cursor:grab;color:var(--bpi-handle-text);font-size:11px;line-height:1;user-select:none;padding:1px 2px;border-radius:3px}.bpi-drag-handle:hover{color:var(--bpi-handle-hover);background:var(--bpi-handle-hover-bg)}.bpi-drag-handle:active{cursor:grabbing}
|
||||
@@ -1321,7 +1330,7 @@ function injectBpiStyles() {
|
||||
.bpi-hidden-bar{display:flex;align-items:center;gap:6px;flex-wrap:wrap;padding:5px 2px;border-top:1px solid var(--bpi-border-3)}.bpi-hidden-bar.bpi-hidden{display:none}.bpi-hidden-label{flex:none;color:var(--bpi-text-muted);font-size:11px}
|
||||
.bpi-hidden-chip{display:inline-flex;align-items:center;gap:5px;max-width:280px;overflow:hidden;border:1px dashed var(--bpi-border-2);border-radius:999px;padding:2px 8px;background:var(--bpi-surface-3);color:var(--bpi-text-muted);cursor:pointer;font-size:11px}.bpi-hidden-chip:hover{background:var(--bpi-hidden-chip-hover-bg);border-color:var(--bpi-link-text);color:var(--bpi-row-hover-text)}.bpi-hidden-en{text-decoration:line-through;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;min-width:0}.bpi-hidden-zh{color:var(--bpi-text-muted);font-size:10px;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;min-width:0}.bpi-hidden-restore{color:var(--bpi-link-text);font-size:12px}
|
||||
.bpi-hidden-all{margin-left:auto}
|
||||
.bpi-modal-shade{position:fixed;inset:0;z-index:10020;background:rgba(0,0,0,.58);display:flex;align-items:center;justify-content:center}.bpi-modal{width:min(520px,calc(100vw - 32px));max-height:calc(100vh - 40px);overflow:auto;background:var(--bpi-surface-modal);color:var(--bpi-text);border:1px solid var(--bpi-border-2);border-radius:10px;padding:16px;box-shadow:0 18px 55px rgba(0,0,0,.55)}.bpi-modal h3{margin:0 0 12px;font-size:16px}.bpi-form{display:grid;grid-template-columns:92px minmax(0,1fr);gap:9px;align-items:center}.bpi-form label{color:var(--bpi-text-muted)}.bpi-form input,.bpi-form select,.bpi-form textarea{box-sizing:border-box;width:100%;border:1px solid var(--bpi-border-2);border-radius:5px;background:var(--bpi-input-bg);color:var(--bpi-input-text);padding:6px 7px}.bpi-form textarea{min-height:112px;resize:vertical;font:11px/1.45 Arial,sans-serif}.bpi-form input:focus,.bpi-form select:focus,.bpi-form textarea:focus{outline:none;border-color:#4ca7e8}.bpi-modal-actions{display:flex;justify-content:flex-end;gap:7px;margin-top:14px;flex-wrap:wrap}.bpi-weight-presets{display:flex;gap:5px;flex-wrap:wrap;margin-top:10px}
|
||||
.bpi-modal-shade{position:fixed;inset:0;z-index:10020;background:rgba(0,0,0,.58);display:flex;align-items:center;justify-content:center}.bpi-modal{width:min(520px,calc(100vw - 32px));max-height:calc(100vh - 40px);overflow:auto;background:var(--bpi-surface-modal);color:var(--bpi-text);border:1px solid var(--bpi-border-2);border-radius:10px;padding:16px;box-shadow:0 18px 55px rgba(0,0,0,.55)}.bpi-modal h3{margin:0 0 12px;font-size:16px}.bpi-form{display:grid;grid-template-columns:92px minmax(0,1fr);gap:9px;align-items:center}.bpi-form [hidden]{display:none!important}.bpi-form label{color:var(--bpi-text-muted)}.bpi-form input,.bpi-form select,.bpi-form textarea{box-sizing:border-box;width:100%;border:1px solid var(--bpi-border-2);border-radius:5px;background:var(--bpi-input-bg);color:var(--bpi-input-text);padding:6px 7px}.bpi-form textarea{min-height:112px;resize:vertical;font:11px/1.45 Arial,sans-serif}.bpi-form input:focus,.bpi-form select:focus,.bpi-form textarea:focus{outline:none;border-color:#4ca7e8}.bpi-modal-actions{display:flex;justify-content:flex-end;gap:7px;margin-top:14px;flex-wrap:wrap}.bpi-weight-presets{display:flex;gap:5px;flex-wrap:wrap;margin-top:10px}
|
||||
.bpi-editor-tabs{display:flex;gap:0;border-bottom:1px solid var(--bpi-border);margin-bottom:12px}
|
||||
.bpi-editor-tab{background:none;border:none;border-bottom:2px solid transparent;padding:5px 12px;color:var(--bpi-text-muted);font:12px Arial,sans-serif;cursor:pointer}
|
||||
.bpi-editor-tab:hover{color:var(--bpi-text)}
|
||||
@@ -1331,8 +1340,14 @@ function injectBpiStyles() {
|
||||
.bpi-form .bpi-field-static{box-sizing:border-box;padding:6px 0;color:var(--bpi-text);font-family:Consolas,monospace;word-break:break-all}
|
||||
.bpi-raw-editor{box-sizing:border-box;width:100%;min-height:72px;max-height:220px;resize:vertical;border:1px solid var(--bpi-border-2);border-radius:5px;background:var(--bpi-input-bg);color:var(--bpi-input-text);padding:5px 7px;outline:none;font:12px/1.55 Consolas,monospace}
|
||||
.bpi-raw-editor:focus{border-color:#4ca7e8}
|
||||
.bpi-token-card.bpi-card-multi{outline:1px dashed var(--bpi-link-text);outline-offset:1px}
|
||||
.bpi-row.bpi-row-multi{outline:1px dashed var(--bpi-link-text);outline-offset:-1px}
|
||||
.bpi-token-card.bpi-card-multi{position:relative}
|
||||
.bpi-row.bpi-row-multi{position:relative}
|
||||
/* 多选的虚线框做成会流动的「蚂蚁线」:四边各一条虚线渐变,靠 background-position 走一个周期,
|
||||
看着就是虚线绕着选中的提示词转。用伪元素画,不占元素自己的 background-image(行选中态要用它) */
|
||||
.bpi-card-multi::after,.bpi-row-multi::after{content:"";position:absolute;border-radius:inherit;pointer-events:none;background-image:repeating-linear-gradient(90deg,var(--bpi-link-text) 0 4px,transparent 4px 8px),repeating-linear-gradient(90deg,var(--bpi-link-text) 0 4px,transparent 4px 8px),repeating-linear-gradient(180deg,var(--bpi-link-text) 0 4px,transparent 4px 8px),repeating-linear-gradient(180deg,var(--bpi-link-text) 0 4px,transparent 4px 8px);background-size:100% 1px,100% 1px,1px 100%,1px 100%;background-position:0 0,0 100%,0 0,100% 0;background-repeat:repeat-x,repeat-x,repeat-y,repeat-y;animation:bpi-ants .6s linear infinite}
|
||||
.bpi-card-multi::after{inset:-2px}
|
||||
.bpi-row-multi::after{inset:0}
|
||||
@keyframes bpi-ants{to{background-position:8px 0,-8px 100%,0 -8px,100% 8px}}
|
||||
.bpi-color-presets{display:flex;gap:6px;flex-wrap:wrap;margin-bottom:10px}
|
||||
.bpi-color-swatch{width:26px;height:26px;border-radius:4px;border:1px solid var(--bpi-border);cursor:pointer;display:inline-block}
|
||||
.bpi-color-swatch:hover{border-color:var(--bpi-border-2)}
|
||||
@@ -1368,6 +1383,8 @@ function injectBpiStyles() {
|
||||
.bpi-dropdown-trigger:hover{border-color:var(--bpi-text-faint)}
|
||||
.bpi-dropdown-caret{font-size:9px;color:var(--bpi-text-muted);transition:transform .12s}
|
||||
.bpi-about-modal{width:min(460px,calc(100vw - 32px))}.bpi-about-name{margin-bottom:7px;color:var(--bpi-text);font-weight:700}.bpi-config-note{color:var(--bpi-text-muted);font-size:10px;word-break:break-all}
|
||||
/* 同一句说明变成警告时用:只换颜色,不动字号字重,免得换行数变了把下面的表单顶走 */
|
||||
.bpi-config-note-warn{color:var(--bpi-status-error)}
|
||||
.bpi-help{position:relative;display:inline-flex;align-items:center;justify-content:center;width:13px;height:13px;margin-left:5px;border:1px solid var(--bpi-border);border-radius:50%;color:var(--bpi-text-muted);font:10px/1 Arial,sans-serif;vertical-align:middle;cursor:help;user-select:none}
|
||||
.bpi-help:hover,.bpi-help:focus{color:var(--bpi-text);border-color:var(--bpi-border-2)}
|
||||
.bpi-help-pop{position:absolute;left:50%;bottom:calc(100% + 6px);transform:translateX(-50%);z-index:80;display:none;box-sizing:border-box;width:290px;max-width:70vw;padding:7px 9px;border:1px solid var(--bpi-border-2);border-radius:6px;background:var(--bpi-surface-modal);color:var(--bpi-text-muted);font:11px/1.65 Arial,sans-serif;white-space:pre-line;text-align:left;cursor:default}
|
||||
@@ -1390,8 +1407,29 @@ function injectBpiStyles() {
|
||||
.bpm-footer{flex:none;display:flex;gap:4px;align-items:center;justify-content:space-between;flex-wrap:wrap}.bpm-footer .bpi-toolbar-group{justify-content:flex-start}
|
||||
.bpm-section .bpi-pack-list{flex:1;min-height:0;max-height:none;grid-template-columns:1fr}
|
||||
.bpm-section .bpi-form{grid-template-columns:78px minmax(0,1fr)}.bpm-section .bpi-form textarea{min-height:84px}
|
||||
.bpm-assistant-actions{display:flex;gap:7px;flex-wrap:wrap;margin-top:10px}
|
||||
.bpm-loading{padding:24px;text-align:center;color:var(--bpi-text-faint)}
|
||||
.bpi-form-actions{display:flex;justify-content:flex-end;gap:7px;margin-top:12px;flex-wrap:wrap}
|
||||
/* 助手设置在 ComfyUI「设置」面板里:原生那一行是「标签 + 控件」,把标签收掉、控件占满整行 */
|
||||
.bpi-settings-form{box-sizing:border-box;width:100%;padding:2px 0 6px}.bpi-settings-form h3{margin:0 0 10px;font-size:15px}
|
||||
div:has(> .form-input > div > .bpi-settings-form){align-items:flex-start}
|
||||
div:has(> .form-input > div > .bpi-settings-form) > .form-label{display:none}
|
||||
div:has(> .form-input > div > .bpi-settings-form) > .form-input{flex:1 1 0%;min-width:0}
|
||||
.bpi-switch-row{display:flex;align-items:center;gap:8px;cursor:pointer;user-select:none;width:fit-content}
|
||||
.bpi-switch-row input{position:absolute;width:0;height:0;opacity:0;margin:0}
|
||||
.bpi-switch-track{position:relative;flex:0 0 auto;width:34px;height:18px;border-radius:9px;background-color:var(--bpi-switch-off);border:1px solid var(--bpi-switch-off-border);transition:background-color .16s ease,border-color .16s ease}
|
||||
.bpi-switch-thumb{position:absolute;top:2px;left:2px;width:12px;height:12px;border-radius:50%;background-color:var(--bpi-switch-knob);transition:transform .16s ease}
|
||||
.bpi-switch-row:hover .bpi-switch-track{border-color:var(--bpi-border-2)}
|
||||
.bpi-switch-row input:checked + .bpi-switch-track{background-color:var(--bpi-danger-bg);border-color:var(--bpi-danger-border)}
|
||||
.bpi-switch-row input:checked + .bpi-switch-track .bpi-switch-thumb{transform:translateX(16px)}
|
||||
.bpi-switch-row input:focus-visible + .bpi-switch-track{outline:2px solid var(--bpi-row-pinned-ring);outline-offset:1px}
|
||||
.bpi-switch-text{font-size:12px;color:var(--bpi-text-muted)}
|
||||
.bpi-switch-row input:checked ~ .bpi-switch-text{color:var(--bpi-status-error)}
|
||||
.bpi-switch-hint{display:none;font-size:11px;color:var(--bpi-status-error)}
|
||||
.bpi-switch-row input:checked ~ .bpi-switch-hint{display:inline}.bpi-switch-row.bpi-switch-accent input:checked + .bpi-switch-track{background-color:var(--bpm-accent);border-color:var(--bpm-accent-border)}.bpi-switch-row.bpi-switch-accent input:checked ~ .bpi-switch-text{color:var(--bpi-text)}
|
||||
/* 设置面板里的输入框 / 下拉:直接用 ComfyUI 的字段底色与描边,取不到才用兜底值,
|
||||
免得暗色下我们的蓝灰底比面板亮一截、显得突兀 */
|
||||
.bpi-settings-form .bpi-form input,.bpi-settings-form .bpi-form select,.bpi-settings-form .bpi-form textarea{background-color:var(--p-textfield-background,var(--p-inputtext-background,var(--bpi-field-bg)));border-color:var(--p-textfield-border-color,var(--p-inputtext-border-color,var(--bpi-field-border)))}
|
||||
.bpi-settings-form .bpi-form input:focus,.bpi-settings-form .bpi-form select:focus,.bpi-settings-form .bpi-form textarea:focus{border-color:var(--p-primary-color,#4ca7e8)}
|
||||
.bpm-panel .bpi-button.bpi-primary,.bpm-panel .bpi-mini.bpi-primary{background:var(--bpm-accent);border-color:var(--bpm-accent-border);color:#fff}
|
||||
.bpm-panel .bpi-button.bpi-primary:hover,.bpm-panel .bpi-mini.bpi-primary:hover{background:var(--bpm-accent-hover);border-color:var(--bpm-accent-border);color:#fff}
|
||||
.bpm-panel .bpi-filter-active{background:var(--bpm-accent);border-color:var(--bpm-accent-border);color:#fff}
|
||||
|
||||
@@ -13,7 +13,9 @@ function injectStyles() {
|
||||
const style = document.createElement("style");
|
||||
style.id = STYLE_ID;
|
||||
style.textContent = [
|
||||
".bpi-dup-pill{display:inline-flex;align-items:center;gap:6px;padding:3px 10px;border-radius:999px;font-size:12px;line-height:1.5;max-width:100%;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}",
|
||||
// holder 才是交给画布的 widget 元素:节点拖大时它被拉伸,胶囊自己锁死高度不跟着变
|
||||
`.bpi-dup-holder{display:flex;align-items:center;justify-content:flex-start;width:100%;min-height:${PILL_HEIGHT}px;overflow:hidden}`,
|
||||
`.bpi-dup-pill{display:inline-flex;align-items:center;gap:6px;padding:3px 10px;border-radius:999px;font-size:12px;line-height:1.5;height:${PILL_HEIGHT}px;box-sizing:border-box;flex:none;max-width:100%;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}`,
|
||||
".bpi-dup-pill .bpi-dup-dot{width:7px;height:7px;border-radius:50%;flex:none}",
|
||||
".bpi-dup-pill .bpi-dup-text{overflow:hidden;text-overflow:ellipsis}",
|
||||
".bpi-dup-pill.bpi-dup-warn{background:rgba(214,158,46,.18);color:#8a5a00}",
|
||||
@@ -117,6 +119,8 @@ app.registerExtension({
|
||||
const toggle = this.widgets?.find((widget) => widget.name === "keep_first");
|
||||
if (toggle) toggle.label = "只保留第一个";
|
||||
if (this.inputs?.[0]) this.inputs[0].label = "提示词";
|
||||
const holder = document.createElement("div");
|
||||
holder.className = "bpi-dup-holder";
|
||||
const pill = document.createElement("div");
|
||||
pill.className = "bpi-dup-pill bpi-dup-idle";
|
||||
const dot = document.createElement("span");
|
||||
@@ -124,9 +128,10 @@ app.registerExtension({
|
||||
const textNode = document.createElement("span");
|
||||
textNode.className = "bpi-dup-text";
|
||||
pill.append(dot, textNode);
|
||||
holder.append(pill);
|
||||
this._duplicateCheck = { pill, dot, textNode, count: 0, connected: false };
|
||||
try {
|
||||
this.addDOMWidget("bpi_duplicate_status", "bpi-duplicate-status", pill, {
|
||||
this.addDOMWidget("bpi_duplicate_status", "bpi-duplicate-status", holder, {
|
||||
getMinHeight: () => PILL_HEIGHT,
|
||||
getMaxHeight: () => PILL_HEIGHT,
|
||||
hideOnZoom: false,
|
||||
|
||||
+48
-21
@@ -103,17 +103,21 @@ const ZH = {
|
||||
"Highest": "最高",
|
||||
Translate: "翻译",
|
||||
"Translate & optimize": "翻译并优化",
|
||||
"Optimize to Anima": "优化为 Anima",
|
||||
Optimize: "优化",
|
||||
"Fit height": "适应高度",
|
||||
"Let the prompt area grow with the node instead of being capped": "让提示词区跟着节点一起变高,不再卡在固定的高度上限",
|
||||
"Back to the automatic height; the prompt area stops following the node": "回到自动高度,提示词区不再跟着节点变高",
|
||||
"Re-translate": "重新翻译",
|
||||
"Translate all unknown": "翻译全部未收录",
|
||||
"Sort by Anima order": "按 Anima 顺序排序",
|
||||
"Confirm write English": "确认写入英文",
|
||||
"Cancel Anima order sort": "取消 Anima 顺序排序",
|
||||
"Cancel Anima sort": "取消 Anima 排序",
|
||||
"Confirm write new prompt": "确认写入新提示词",
|
||||
"Confirm & save": "确认并保存",
|
||||
"Save to dict": "存入词库",
|
||||
"Save to Personal Dictionary": "保存到个人词库",
|
||||
"Add tag": "添加标签",
|
||||
"New Tag": "新建标签",
|
||||
"Search candidates": "搜索候选",
|
||||
"Dictionary search": "词库搜索",
|
||||
"Enter Chinese, English, alias, or concept; click a result to insert the English tag":
|
||||
"输入中文、英文、别名或概念;点击结果即可插入英文标签",
|
||||
@@ -144,6 +148,10 @@ const ZH = {
|
||||
"Personal dictionary": "个人词库",
|
||||
"No inspector node on canvas": "画布上没有检查器节点",
|
||||
"No matching items under the current filter.": "当前筛选条件下没有匹配项。",
|
||||
"Find in the current prompt": "在当前提示词里查找",
|
||||
"Clear search": "清除查找",
|
||||
"No tag matches {}": "没有匹配“…”的标签",
|
||||
"Filter the detail list by keyword; matches the English original or the Chinese explanation; the prompt itself never changes": "按关键词筛明细表;英文原文和中文解释都参与匹配,提示词本身不会变",
|
||||
"No unknown tags currently": "当前没有未收录标签",
|
||||
"Edit directly": "直接编辑",
|
||||
|
||||
@@ -171,8 +179,6 @@ const ZH = {
|
||||
"No content change": "内容没有变化",
|
||||
"Natural-language segments only support whole-segment editing; tags can still be deleted individually":
|
||||
"自然语言片段只支持整段编辑;标签仍可单独删除",
|
||||
"Only tags support individual weights; use text editing for natural language":
|
||||
"只有标签支持单独权重;自然语言请用文本编辑",
|
||||
"Weight must be between 0 and 3": "权重必须在 0 到 3 之间",
|
||||
"Use “Edit text” to process it": "请用「编辑文本」处理",
|
||||
"Click “Edit text”, then use the inspector's own “Translate” or “Translate & optimize”":
|
||||
@@ -313,6 +319,7 @@ const ZH = {
|
||||
Models: "适用模型",
|
||||
"Recommended Weight": "推荐权重",
|
||||
"e.g.: looking at viewer": "例如:looking at viewer",
|
||||
"e.g.: apple": "例如:苹果",
|
||||
"e.g.: pose, camera, style": "例如:pose、camera、style",
|
||||
|
||||
// ── 弹窗:保存 / 编辑收藏 ────────────────────────────────────────────
|
||||
@@ -327,6 +334,8 @@ const ZH = {
|
||||
"Tag saved": "词条已保存",
|
||||
"Entry info": "词条信息",
|
||||
"Edits go to the personal dictionary and override same-name entries.": "改动存入个人词库,会覆盖同名词条的显示。",
|
||||
"Nothing was saved: the Chinese name is still the unknown placeholder.": "没有保存:中文名称还是「未收录」,这样存进去只会得到一条残词条。",
|
||||
"Enter a real Chinese name, then apply again.": "先填一个真正的中文名称,再点应用。",
|
||||
"Edit Favorite": "编辑收藏",
|
||||
"Keep the current image, or pick a new one to replace it": "不换图就保持原样,选一张新的会替换掉原来的",
|
||||
|
||||
@@ -346,7 +355,6 @@ const ZH = {
|
||||
Packs: "词包",
|
||||
Favorites: "收藏",
|
||||
"Assistant Settings": "助手设置",
|
||||
"Manager panel": "管理面板",
|
||||
"Add or select a BilingualPromptInspector node to see its tag manager here.":
|
||||
"添加或选中画布上的 BilingualPromptInspector 节点,即可在此看到它的标签管理。",
|
||||
"Tag translation, dictionary search and per-tag operations edit the selected node below.":
|
||||
@@ -393,18 +401,17 @@ const ZH = {
|
||||
"Recognizing tag categories…": "正在识别标签分类…",
|
||||
"Loading dictionary…": "正在加载词库…",
|
||||
"Loading settings...": "正在加载设置…",
|
||||
"Settings load on first visit...": "首次进入时加载设置…",
|
||||
|
||||
// ── 助手设置 ────────────────────────────────────────────────────────
|
||||
// ── 助手设置(ComfyUI「设置」面板里内嵌的那一项)─────────────────────
|
||||
"Translation Service": "翻译服务",
|
||||
"Dictionary only (no API)": "仅词库(不需要接口)",
|
||||
"Baidu Translate": "百度翻译",
|
||||
"AI (OpenAI-compatible / Ollama)": "AI(OpenAI 兼容 / Ollama)",
|
||||
"Translation/explanation uses this choice. \"Translate & Optimize\" and \"Optimize to Anima\" always use AI, unrelated here. To test AI connection, temporarily set translation service to AI then click test (key preserved).":
|
||||
"翻译/解释按这里的选择走。「翻译并优化」和「优化为 Anima」始终走 AI,与此无关。要测试 AI 连接,请临时把翻译服务切到 AI 再点测试(密钥会保留)。",
|
||||
"Only this service's settings are shown below. \"Translate & Optimize\" and \"Optimize\" always use AI: choose OpenAI-compatible API or Ollama above to configure or test them. Switching service never clears saved keys.":
|
||||
"下面只显示当前所选服务的设置。「翻译并优化」和「优化」始终走 AI:要配置或测试它们,请在上方选择「OpenAI 兼容接口」或「Ollama」。切换服务不会清掉已保存的密钥。",
|
||||
"APP ID": "APP ID",
|
||||
"Secret Key": "密钥",
|
||||
"Clear saved Baidu secret": "清除已保存的百度密钥",
|
||||
"Takes effect after saving": "保存后生效",
|
||||
"Baidu Cloud \"General Text Translation\" APP ID": "百度智能云「通用文本翻译」的 APP ID",
|
||||
"Baidu Cloud \"General Text Translation\" Secret Key": "百度智能云「通用文本翻译」的密钥",
|
||||
"QPS (requests/second)": "QPS(每秒请求数)",
|
||||
@@ -416,14 +423,21 @@ const ZH = {
|
||||
"OpenAI-compatible API": "OpenAI 兼容接口",
|
||||
"Ollama (local)": "Ollama(本地)",
|
||||
"API URL": "API 地址",
|
||||
"Optional for Ollama; e.g.: https://host/v1": "Ollama 可选;例如 https://host/v1",
|
||||
"provider model ID": "服务商的模型 ID",
|
||||
"e.g.: qwen3:8b": "例如:qwen3:8b",
|
||||
"Optional for local LM Studio": "本地 LM Studio 可选",
|
||||
"Remote addresses must use https; http is only accepted for this machine. Private, reserved and link-local addresses are rejected. Keys are never sent in clear text over the network.":
|
||||
"远端地址必须使用 https;只有本机地址可以用 http。内网、保留和链路本地地址一律拒绝。密钥绝不会明文发到网络上。",
|
||||
"Ollama only accepts a loopback address on this machine; anything else is rejected before a request is sent.":
|
||||
"Ollama 只能填本机回环地址;其它地址在发出请求前就会被拒绝。",
|
||||
"Model Name": "模型名称",
|
||||
"e.g.: qwen3:8b or provider model ID": "例如:qwen3:8b 或服务商的模型 ID",
|
||||
"Use LM Studio Local Preset": "使用 LM Studio 本地预设",
|
||||
"Connects to localhost:1234 by default; no external API required.": "默认连接 localhost:1234,不需要外部接口。",
|
||||
"LM Studio default URL filled; select a loaded model ID, then Save & Test": "已填入 LM Studio 默认地址;选择已加载的模型 ID 后保存并测试",
|
||||
"Use Ollama Local Preset": "使用 Ollama 本地预设",
|
||||
"Connects to localhost:11434 by default; no external API required.": "默认连接 localhost:11434,不需要外部接口。",
|
||||
"Ollama default URL filled; select a pulled model ID, then Save & Test": "已填入 Ollama 默认地址;选择已拉取的模型 ID 后保存并测试",
|
||||
"API Key": "API 密钥",
|
||||
"Optional for local Ollama / LM Studio": "本地 Ollama / LM Studio 可选",
|
||||
"Clear saved API Key": "清除已保存的 API 密钥",
|
||||
"Saved; leave empty to keep": "已保存;留空则保持不变",
|
||||
Temperature: "温度",
|
||||
@@ -444,11 +458,13 @@ const ZH = {
|
||||
// ── 语言设置(本功能新增) ────────────────────────────────────────────
|
||||
Language: "语言",
|
||||
Chinese: "中文",
|
||||
English: "英文",
|
||||
"Chinese (Simplified)": "简体中文",
|
||||
"Follow ComfyUI language setting": "跟随 ComfyUI 语言设置",
|
||||
"Choose the language for this plugin's own panels. \"Follow ComfyUI\" reads the ComfyUI language setting; \"Chinese\" and \"English\" force one. Applied to open panels right away; reload the page if anything still shows the old language.":
|
||||
"选择本插件面板的语言。「跟随 ComfyUI 语言设置」会随 ComfyUI 的语言切换;「中文」「英文」为强制指定。已打开的面板会立即更新;若个别位置仍是旧语言,刷新页面即可。",
|
||||
"Language saved": "语言设置已保存",
|
||||
"Appearance & Language": "语言与外观",
|
||||
"Appearance and language saved": "外观与语言已保存",
|
||||
|
||||
// ── 标签来源 / 分类 / 模式 ──────────────────────────────────────────
|
||||
"Inspector assistant": "检查器助手",
|
||||
@@ -481,6 +497,9 @@ const ZH = {
|
||||
"English prompt tag view": "英文提示词标签视图",
|
||||
"Anima official sort": "Anima 官方顺序",
|
||||
"Anima official order preview": "Anima 官方顺序预览",
|
||||
"Restore the prompt as it was before the Anima sort": "恢复到 Anima 排序前的提示词(分类视图一起退出)",
|
||||
"Restored the prompt from before the Anima sort": "已恢复到 Anima 排序前的提示词",
|
||||
"Exited the Anima category view": "已退出 Anima 分类视图",
|
||||
"Empty input": "输入为空",
|
||||
"Copied": "已复制",
|
||||
|
||||
@@ -605,6 +624,9 @@ const ZH = {
|
||||
"Translation Rule": "翻译规则",
|
||||
"Translate & Optimize Rule": "翻译并优化规则",
|
||||
"Optimize Rule": "优化规则",
|
||||
"Natural Language Rule": "自然语言规则",
|
||||
"Optimize with the rule for the current mode: tag mode tidies the tag flow, natural language mode rewrites it as English sentences":
|
||||
"按当前模式对应的规则优化:标签模式整理标签流,自然语言模式改写为英文自然语句",
|
||||
"Connection OK: {}": "连接正常:{}",
|
||||
// 确认对话框的默认确认按钮(confirmDialog 的 confirmLabel 缺省值),
|
||||
// 不是「连接正常」的 OK——那个是整句键 "Connection OK: {}"。
|
||||
@@ -618,8 +640,6 @@ const ZH = {
|
||||
"Delete {}? Reference image will be deleted too.": "删除「{}」?参考图也会一并删除。",
|
||||
"Node #{}": "节点 #{}",
|
||||
"Node #{}: {}": "节点 #{}:{}",
|
||||
"Bilingual Prompt Inspector: Tag Manager, Dictionary, Packs & Assistant Settings":
|
||||
"提示词翻译与管理:标签管理、词库、词包与助手设置",
|
||||
|
||||
// ── 语法诊断(parser.js)────────────────────────────────────────────
|
||||
"Manual override": "手动覆盖",
|
||||
@@ -744,9 +764,15 @@ const ZH = {
|
||||
|
||||
// ── 第三批:自由文本变量包裹后的组合形态与遗漏项 ──────────────────────
|
||||
"Low": "低",
|
||||
"Low · pending": "低 · 待确认",
|
||||
"Medium · pending": "中 · 待确认",
|
||||
"Medium · session-only": "中 · 仅本次会话",
|
||||
"Medium": "中",
|
||||
"High": "高",
|
||||
"Not in any dictionary, so it cannot be judged": "词库里查不到,没法判断",
|
||||
"Machine translation, not saved to the dictionary or confirmed yet": "机器翻译,还没存进词库,也没人工确认",
|
||||
"Syntax kept as-is; nothing to translate": "语法保留项,本来就不用翻译",
|
||||
"In the dictionary, but not marked as verified": "词库里有,但还没标成已校验",
|
||||
"In the dictionary, verified, category {}": "已在词库里,已校验,分类「{}」",
|
||||
"In the dictionary, but no category set": "词库里有,但还没填分类",
|
||||
"Changed for this session only; not saved to the dictionary": "只改了本次会话,没存进词库",
|
||||
"★ Unfavorite": "★ 取消收藏",
|
||||
"☆ Favorite": "☆ 收藏",
|
||||
"Paused, waiting for confirmation…": "已暂停,等待确认…",
|
||||
@@ -775,7 +801,8 @@ const ZH = {
|
||||
|
||||
"Click a tag to link it with the detail table below; select then press Delete": "点击标签可与下方明细表联动;选中后按 Delete 删除",
|
||||
"English prompt is empty; nothing to optimize": "英文提示词是空的,没有可优化的内容",
|
||||
"“Optimize to Anima” only processes English; translate Chinese in the sidebar first": "「优化为 Anima」只处理英文;中文请先在侧边栏翻译",
|
||||
"“Optimize” only processes English in tag mode; translate Chinese in the sidebar first": "「优化」在标签模式下只处理英文;中文请先在侧边栏翻译,或把模式切到「自然语言」",
|
||||
"(Chinese detected; translating to English first)": "(检测到中文,会先译成英文)",
|
||||
"{} done; please confirm in the preview window": "「{}」完成;请在预览窗口确认",
|
||||
"{}; please fix it in the preview before confirming": "「{}」;请在预览里改好再确认",
|
||||
};
|
||||
|
||||
+346
-151
@@ -48,7 +48,6 @@ const SECTIONS = [
|
||||
["tag-manager", "Tag Manager"],
|
||||
["tags", "Dictionary"],
|
||||
["packs", "Packs"],
|
||||
["assistant", "Assistant Settings"],
|
||||
["favorites", "Favorites"],
|
||||
];
|
||||
|
||||
@@ -58,7 +57,6 @@ const manager = {
|
||||
selected: new Set(),
|
||||
section: "tags",
|
||||
loaded: false,
|
||||
assistantLoaded: false,
|
||||
favoritesLoaded: false,
|
||||
favorites: [],
|
||||
favoritesChangeHandler: null,
|
||||
@@ -136,6 +134,9 @@ function rebuildSourceOptions() {
|
||||
["all", "All Packs"],
|
||||
["builtin", "Built-in pack enabled"],
|
||||
["personal", "Personal"],
|
||||
// 保存时选了「自然语言词库」的条目:和个人词库共用文件,只靠 natural 标记区分,
|
||||
// 与分类叫「自然语言」的标签是两回事(后者是 Anima 分类名)。
|
||||
["natural", "Natural Language Dictionary"],
|
||||
...(manager.data.large_dictionary?.available ? [["large", "Danbooru Large Dict"]] : []),
|
||||
["machine", "Pending Machine"],
|
||||
["favorites", "Favorites"],
|
||||
@@ -149,6 +150,13 @@ function rebuildSourceOptions() {
|
||||
refs.source.value = options.some(([value]) => value === current) ? current : "all";
|
||||
}
|
||||
|
||||
// 自然语言跟普通标签分类不是一个层级,按拼音排会掉到很后面;
|
||||
// 词库里这个分类名中英两种写法都有(Anima 分类是英文,手填的多是中文),都认。
|
||||
function isNaturalCategory(name) {
|
||||
const value = String(name ?? "").trim().toLowerCase();
|
||||
return value === "自然语言" || value === "natural language";
|
||||
}
|
||||
|
||||
function rebuildCategoryOptions() {
|
||||
const current = refs.category.value;
|
||||
refs.category.replaceChildren();
|
||||
@@ -156,7 +164,7 @@ function rebuildCategoryOptions() {
|
||||
all.value = "all";
|
||||
refs.category.appendChild(all);
|
||||
const categories = [...new Set(managerRows().map((row) => row.tag.category).filter(Boolean))].sort((a, b) => a.localeCompare(b, "zh-CN"));
|
||||
for (const category of categories) {
|
||||
for (const category of [...categories.filter(isNaturalCategory), ...categories.filter((name) => !isNaturalCategory(name))]) {
|
||||
const option = element("option", "", category);
|
||||
option.value = category;
|
||||
refs.category.appendChild(option);
|
||||
@@ -218,9 +226,10 @@ function renderRows() {
|
||||
const category = refs.category.value;
|
||||
const source = refs.source.value;
|
||||
const rows = managerRows().filter((row) => {
|
||||
if (source === "natural" && !row.tag.natural) return false;
|
||||
if (source === "favorites" && !isFavorite(row.tag.english)) return false;
|
||||
if (source.startsWith("pack:") && row.tag.pack_id !== source.slice(5)) return false;
|
||||
if (!["all", "favorites"].includes(source) && !source.startsWith("pack:") && row.kind !== source) return false;
|
||||
if (!["all", "favorites", "natural"].includes(source) && !source.startsWith("pack:") && row.kind !== source) return false;
|
||||
if (category !== "all" && row.tag.category !== category) return false;
|
||||
if (query) {
|
||||
const haystack = [row.tag.english, row.tag.chinese, row.tag.category, ...(row.tag.aliases ?? [])].join("\n").toLowerCase();
|
||||
@@ -575,10 +584,21 @@ function openImportPreview(payload) {
|
||||
modal.addEventListener("mousedown", (event) => event.stopPropagation());
|
||||
}
|
||||
|
||||
async function buildAssistantSection(section) {
|
||||
section.replaceChildren();
|
||||
// 外观 / 语言从助手设置里拆出来,和它并列挂在「设置」面板的插件分类下。
|
||||
// 改动立刻生效并单独保存,不需要去点助手设置的保存按钮。
|
||||
let appearanceSettingsNode = null;
|
||||
|
||||
function appearanceControl() {
|
||||
if (appearanceSettingsNode) return appearanceSettingsNode;
|
||||
appearanceSettingsNode = element("div", "bpi-settings-form");
|
||||
appearanceSettingsNode.appendChild(element("h3", "", "Appearance & Language"));
|
||||
const loading = element("div", "bpm-loading", "Loading settings...");
|
||||
section.appendChild(loading);
|
||||
appearanceSettingsNode.appendChild(loading);
|
||||
buildAppearanceForm(appearanceSettingsNode, loading);
|
||||
return appearanceSettingsNode;
|
||||
}
|
||||
|
||||
async function buildAppearanceForm(host, loading) {
|
||||
let config;
|
||||
try {
|
||||
config = await getAssistantConfig();
|
||||
@@ -587,110 +607,11 @@ async function buildAssistantSection(section) {
|
||||
loading.classList.add("bpi-danger-text");
|
||||
return;
|
||||
}
|
||||
manager.assistantLoaded = true;
|
||||
applyBpiAppearance(config.appearance);
|
||||
section.replaceChildren();
|
||||
loading.remove();
|
||||
const form = element("form", "bpi-form");
|
||||
form.addEventListener("submit", (event) => event.preventDefault());
|
||||
const error = element("div", "bpi-status");
|
||||
error.style.gridColumn = "1 / -1";
|
||||
const status = element("div", "bpi-status");
|
||||
status.style.gridColumn = "1 / -1";
|
||||
|
||||
// 翻译服务:翻译/解释按此选择;“翻译并优化”“优化为 Anima”恒走 AI
|
||||
const serviceLabel = element("label", "", "Translation Service");
|
||||
const service = element("select");
|
||||
for (const [value, label] of [
|
||||
["dictionary", "Dictionary only (no API)"],
|
||||
["baidu", "Baidu Translate"],
|
||||
["ai", "AI (OpenAI-compatible / Ollama)"],
|
||||
]) {
|
||||
const option = element("option", "", label);
|
||||
option.value = value;
|
||||
service.appendChild(option);
|
||||
}
|
||||
service.value = config.translate_service;
|
||||
form.append(serviceLabel, service);
|
||||
const serviceNote = element("div", "bpi-config-note", 'Translation/explanation uses this choice. "Translate & Optimize" and "Optimize to Anima" always use AI, unrelated here. To test AI connection, temporarily set translation service to AI then click test (key preserved).');
|
||||
serviceNote.style.gridColumn = "1 / -1";
|
||||
form.append(serviceNote);
|
||||
|
||||
// 百度翻译(独立留存,切翻译服务不清)
|
||||
const baiduHead = element("div", "bpm-toolbar");
|
||||
baiduHead.style.gridColumn = "1 / -1";
|
||||
baiduHead.append(element("strong", "", "Baidu Translate"));
|
||||
form.append(baiduHead);
|
||||
const baiduAppId = field(form, "APP ID", "assistant-baidu-appid", config.baidu_appid, 'Baidu Cloud "General Text Translation" APP ID');
|
||||
const baiduSecretKey = field(form, "Secret Key", "assistant-baidu-secret", "", config.baidu_secret_key_configured ? "Saved; leave empty to keep" : 'Baidu Cloud "General Text Translation" Secret Key');
|
||||
baiduSecretKey.type = "password";
|
||||
const clearBaiduLine = element("label", "bpm-toolbar");
|
||||
const clearBaiduSecretKey = element("input");
|
||||
clearBaiduSecretKey.type = "checkbox";
|
||||
clearBaiduLine.append(clearBaiduSecretKey, element("span", "", "Clear saved Baidu secret"));
|
||||
const baiduSpacer = element("span");
|
||||
form.append(baiduSpacer, clearBaiduLine);
|
||||
const baiduQps = field(form, "QPS (requests/second)", "assistant-baidu-qps", config.baidu_qps ?? 1, "1");
|
||||
baiduQps.type = "number";
|
||||
baiduQps.min = "0.1";
|
||||
baiduQps.max = "50";
|
||||
baiduQps.step = "0.5";
|
||||
const baiduQpsHelp = [
|
||||
"Baidu rate-limits General Text Translation by account tier. Enter your tier's number and the plugin queues requests to match:",
|
||||
"· Unverified / Standard: 1",
|
||||
"· Personal verified: 10",
|
||||
"· Enterprise verified: higher, see the Baidu AI Cloud console",
|
||||
"Find your tier under Baidu AI Cloud → Machine Translation → General Text Translation.",
|
||||
"Too high and Baidu still returns 54003 (too many requests); too low is only slower, never an error.",
|
||||
"If unsure, use 1.",
|
||||
].join("\n");
|
||||
form.querySelector('label[for="bpi-field-assistant-baidu-qps"]')?.appendChild(helpMark(baiduQpsHelp));
|
||||
const baiduQpsNote = element("div", "bpi-config-note", "How many requests per second Baidu may receive at most. Batch translation queues by this value and never exceeds it.");
|
||||
baiduQpsNote.style.gridColumn = "1 / -1";
|
||||
form.append(baiduQpsNote);
|
||||
|
||||
// AI 服务(优化恒走它;翻译在选 AI 时也走它)
|
||||
const aiHead = element("div", "bpm-toolbar");
|
||||
aiHead.style.gridColumn = "1 / -1";
|
||||
aiHead.append(element("strong", "", "AI Service (Translate & Optimize / Optimize / AI Translate)"));
|
||||
form.append(aiHead);
|
||||
const aiProviderLabel = element("label", "", "AI Backend");
|
||||
const aiProvider = element("select");
|
||||
for (const [value, label] of [["openai_compatible", "OpenAI-compatible API"], ["ollama", "Ollama (local)"]]) {
|
||||
const option = element("option", "", label);
|
||||
option.value = value;
|
||||
aiProvider.appendChild(option);
|
||||
}
|
||||
aiProvider.value = config.ai_provider;
|
||||
form.append(aiProviderLabel, aiProvider);
|
||||
const baseUrl = field(form, "API URL", "assistant-base-url", config.ai_base_url, "Optional for Ollama; e.g.: https://host/v1");
|
||||
const model = field(form, "Model Name", "assistant-model", config.ai_model, "e.g.: qwen3:8b or provider model ID");
|
||||
const presetLine = element("div", "bpm-toolbar");
|
||||
presetLine.style.gridColumn = "1 / -1";
|
||||
const lmStudioPreset = button("Use LM Studio Local Preset", () => {
|
||||
aiProvider.value = "openai_compatible";
|
||||
baseUrl.value = "http://127.0.0.1:1234/v1";
|
||||
setText(error, "LM Studio default URL filled; select a loaded model ID, then Save & Test");
|
||||
error.dataset.kind = "ok";
|
||||
});
|
||||
presetLine.append(lmStudioPreset, element("span", "bpi-config-note", "Connects to localhost:1234 by default; no external API required."));
|
||||
form.append(presetLine);
|
||||
const apiKey = field(form, "API Key", "assistant-api-key", "", config.ai_api_key_configured ? "Saved; leave empty to keep" : "Optional for local Ollama / LM Studio");
|
||||
apiKey.type = "password";
|
||||
const clearLine = element("label", "bpm-toolbar");
|
||||
const clearApiKey = element("input");
|
||||
clearApiKey.type = "checkbox";
|
||||
clearLine.append(clearApiKey, element("span", "", "Clear saved API Key"));
|
||||
const apiKeySpacer = element("span");
|
||||
form.append(apiKeySpacer, clearLine);
|
||||
const temperature = field(form, "Temperature", "assistant-temperature", config.ai_temperature, "0–2");
|
||||
temperature.type = "number";
|
||||
temperature.min = "0";
|
||||
temperature.max = "2";
|
||||
temperature.step = "0.05";
|
||||
const timeout = field(form, "Timeout (s)", "assistant-timeout", config.ai_timeout_seconds, "5–600");
|
||||
timeout.type = "number";
|
||||
timeout.min = "5";
|
||||
timeout.max = "600";
|
||||
|
||||
// 外观模式
|
||||
const appearanceLabel = element("label", "", "Appearance");
|
||||
const appearanceSelect = element("select");
|
||||
for (const [value, label] of [
|
||||
@@ -718,31 +639,279 @@ async function buildAssistantSection(section) {
|
||||
languageSelect.appendChild(option);
|
||||
}
|
||||
languageSelect.value = config.language || "auto";
|
||||
form.append(languageLabel, languageSelect);
|
||||
const languageNote = element("div", "bpi-config-note", "Choose the language for this plugin's own panels. \"Follow ComfyUI\" reads the ComfyUI language setting; \"Chinese\" and \"English\" force one. Applied to open panels right away; reload the page if anything still shows the old language.");
|
||||
languageNote.style.gridColumn = "1 / -1";
|
||||
form.append(languageNote);
|
||||
form.append(languageLabel, languageSelect, languageNote, status);
|
||||
host.appendChild(form);
|
||||
|
||||
// 规则
|
||||
const addRule = (labelText, value) => {
|
||||
// 只提交这两项:后端 update 对没给的字段一律保留原值,不会动翻译服务和密钥
|
||||
const save = async () => {
|
||||
try {
|
||||
const saved = await saveAssistantConfig({ appearance: appearanceSelect.value, language: languageSelect.value });
|
||||
applyBpiAppearance(saved.appearance);
|
||||
setLanguageMode(saved.language);
|
||||
setText(status, "Appearance and language saved");
|
||||
status.dataset.kind = "ok";
|
||||
} catch (saveError) {
|
||||
setText(status, saveError.message);
|
||||
status.dataset.kind = "error";
|
||||
}
|
||||
};
|
||||
appearanceSelect.addEventListener("change", save);
|
||||
languageSelect.addEventListener("change", save);
|
||||
}
|
||||
|
||||
// 助手设置直接长在 ComfyUI「设置」面板里(入口见下方 registerExtension 的 settings),
|
||||
// 这一个函数返回的就是设置项右侧那块控件。
|
||||
// 面板每次渲染都会重建控件容器,所以整块 DOM 只建一次后复用,输入到一半的内容不会丢。
|
||||
let assistantSettingsNode = null;
|
||||
|
||||
function assistantSettingsControl() {
|
||||
if (assistantSettingsNode) return assistantSettingsNode;
|
||||
assistantSettingsNode = element("div", "bpi-settings-form");
|
||||
assistantSettingsNode.appendChild(element("h3", "", "Assistant Settings"));
|
||||
const loading = element("div", "bpm-loading", "Loading settings...");
|
||||
assistantSettingsNode.appendChild(loading);
|
||||
buildAssistantForm(assistantSettingsNode, loading);
|
||||
return assistantSettingsNode;
|
||||
}
|
||||
|
||||
async function buildAssistantForm(host, loading) {
|
||||
let config;
|
||||
try {
|
||||
config = await getAssistantConfig();
|
||||
} catch (error) {
|
||||
setText(loading, error.message);
|
||||
loading.classList.add("bpi-danger-text");
|
||||
return;
|
||||
}
|
||||
applyBpiAppearance(config.appearance);
|
||||
loading.remove();
|
||||
const form = element("form", "bpi-form");
|
||||
form.addEventListener("submit", (event) => event.preventDefault());
|
||||
const error = element("div", "bpi-status");
|
||||
error.style.gridColumn = "1 / -1";
|
||||
|
||||
// 翻译服务:翻译/解释按此选择;“翻译并优化”“优化”恒走 AI
|
||||
const serviceLabel = element("label", "", "Translation Service");
|
||||
const service = element("select");
|
||||
for (const [value, label] of [
|
||||
["dictionary", "Dictionary only (no API)"],
|
||||
["baidu", "Baidu Translate"],
|
||||
["openai_compatible", "OpenAI-compatible API"],
|
||||
["ollama", "Ollama (local)"],
|
||||
]) {
|
||||
const option = element("option", "", label);
|
||||
option.value = value;
|
||||
service.appendChild(option);
|
||||
}
|
||||
// 后端已把旧的 "ai" 拆成两个具体服务;这里再兜一次,避免下拉落空
|
||||
service.value = config.translate_service === "ai" ? config.ai_provider || "openai_compatible" : config.translate_service;
|
||||
form.append(serviceLabel, service);
|
||||
const serviceNote = element("div", "bpi-config-note", 'Only this service\'s settings are shown below. "Translate & Optimize" and "Optimize" always use AI: choose OpenAI-compatible API or Ollama above to configure or test them. Switching service never clears saved keys.');
|
||||
serviceNote.style.gridColumn = "1 / -1";
|
||||
form.append(serviceNote);
|
||||
|
||||
// 按翻译服务分组显示:隐藏的字段不提交也不清空,切换前后值都在
|
||||
const baiduOnly = [];
|
||||
// AI 两个后端各一组:地址规则不同(Ollama 只认本机,OpenAI 远端必须 https),
|
||||
// 规则也各一套 —— 本地小模型和云端大模型要写的提示词不一样
|
||||
const openaiOnly = [];
|
||||
const ollamaOnly = [];
|
||||
// AI 整段(标题 + 后端下拉 + 两套具体配置 + 规则)只在翻译服务就是 AI 时出现;
|
||||
// 选词库 / 百度时一段都不显示,但优化仍会走上次选过的那个后端
|
||||
const aiOnly = [];
|
||||
// 翻译服务里属于 AI 的两个值:选了它们,翻译服务自己就是 AI 后端
|
||||
const AI_SERVICES = new Set(["openai_compatible", "ollama"]);
|
||||
const currentBackend = () => (AI_SERVICES.has(service.value) ? service.value : aiProvider.value);
|
||||
const addField = (list, ...args) => {
|
||||
const input = field(form, ...args);
|
||||
list.push(form.querySelector(`label[for="${input.id}"]`), input);
|
||||
return input;
|
||||
};
|
||||
// 清除已保存的密钥:开关样式,打开后要保存才生效。返回的 input 上挂了整行(`.row`)
|
||||
const clearSwitch = (labelText) => {
|
||||
const row = element("label", "bpi-switch-row");
|
||||
const input = element("input");
|
||||
input.type = "checkbox";
|
||||
const track = element("span", "bpi-switch-track");
|
||||
track.appendChild(element("span", "bpi-switch-thumb"));
|
||||
row.append(input, track, element("span", "bpi-switch-text", labelText), element("span", "bpi-switch-hint", "Takes effect after saving"));
|
||||
input.row = row;
|
||||
return input;
|
||||
};
|
||||
|
||||
// 百度翻译(独立留存,切翻译服务不清)
|
||||
const baiduHead = element("div", "bpm-toolbar");
|
||||
baiduHead.style.gridColumn = "1 / -1";
|
||||
baiduHead.append(element("strong", "", "Baidu Translate"));
|
||||
form.append(baiduHead);
|
||||
baiduOnly.push(baiduHead);
|
||||
const baiduAppId = addField(baiduOnly, "APP ID", "assistant-baidu-appid", config.baidu_appid, 'Baidu Cloud "General Text Translation" APP ID');
|
||||
const baiduSecretKey = addField(baiduOnly, "Secret Key", "assistant-baidu-secret", "", config.baidu_secret_key_configured ? "Saved; leave empty to keep" : 'Baidu Cloud "General Text Translation" Secret Key');
|
||||
baiduSecretKey.type = "password";
|
||||
const clearBaiduSecretKey = clearSwitch("Clear saved Baidu secret");
|
||||
const baiduSpacer = element("span");
|
||||
form.append(baiduSpacer, clearBaiduSecretKey.row);
|
||||
baiduOnly.push(baiduSpacer, clearBaiduSecretKey.row);
|
||||
const baiduQps = addField(baiduOnly, "QPS (requests/second)", "assistant-baidu-qps", config.baidu_qps ?? 1, "1");
|
||||
baiduQps.type = "number";
|
||||
baiduQps.min = "0.1";
|
||||
baiduQps.max = "50";
|
||||
baiduQps.step = "0.5";
|
||||
const baiduQpsHelp = [
|
||||
"Baidu rate-limits General Text Translation by account tier. Enter your tier's number and the plugin queues requests to match:",
|
||||
"· Unverified / Standard: 1",
|
||||
"· Personal verified: 10",
|
||||
"· Enterprise verified: higher, see the Baidu AI Cloud console",
|
||||
"Find your tier under Baidu AI Cloud → Machine Translation → General Text Translation.",
|
||||
"Too high and Baidu still returns 54003 (too many requests); too low is only slower, never an error.",
|
||||
"If unsure, use 1.",
|
||||
].join("\n");
|
||||
form.querySelector('label[for="bpi-field-assistant-baidu-qps"]')?.appendChild(helpMark(baiduQpsHelp));
|
||||
const baiduQpsNote = element("div", "bpi-config-note", "How many requests per second Baidu may receive at most. Batch translation queues by this value and never exceeds it.");
|
||||
baiduQpsNote.style.gridColumn = "1 / -1";
|
||||
form.append(baiduQpsNote);
|
||||
baiduOnly.push(baiduQpsNote);
|
||||
|
||||
// AI 服务(优化恒走它;翻译在选 AI 时也走它)
|
||||
const aiHead = element("div", "bpm-toolbar");
|
||||
aiHead.style.gridColumn = "1 / -1";
|
||||
aiHead.append(element("strong", "", "AI Service (Translate & Optimize / Optimize / AI Translate)"));
|
||||
form.append(aiHead);
|
||||
aiOnly.push(aiHead);
|
||||
const aiProviderLabel = element("label", "", "AI Backend");
|
||||
const aiProvider = element("select");
|
||||
for (const [value, label] of [["openai_compatible", "OpenAI-compatible API"], ["ollama", "Ollama (local)"]]) {
|
||||
const option = element("option", "", label);
|
||||
option.value = value;
|
||||
aiProvider.appendChild(option);
|
||||
}
|
||||
aiProvider.value = config.ai_provider;
|
||||
form.append(aiProviderLabel, aiProvider);
|
||||
aiOnly.push(aiProviderLabel, aiProvider);
|
||||
|
||||
// OpenAI 兼容:远端必须 https,本机回环才允许 http
|
||||
const openaiHead = element("div", "bpm-toolbar");
|
||||
openaiHead.style.gridColumn = "1 / -1";
|
||||
openaiHead.append(element("strong", "", "OpenAI-compatible API"));
|
||||
form.append(openaiHead);
|
||||
openaiOnly.push(openaiHead);
|
||||
const openaiBaseUrl = addField(openaiOnly, "API URL", "assistant-openai-base-url", config.openai_base_url, "https://host/v1");
|
||||
const openaiModel = addField(openaiOnly, "Model Name", "assistant-openai-model", config.openai_model, "provider model ID");
|
||||
const presetLine = element("div", "bpm-toolbar");
|
||||
presetLine.style.gridColumn = "1 / -1";
|
||||
const lmStudioPreset = button("Use LM Studio Local Preset", () => {
|
||||
aiProvider.value = "openai_compatible";
|
||||
openaiBaseUrl.value = "http://127.0.0.1:1234/v1";
|
||||
setText(error, "LM Studio default URL filled; select a loaded model ID, then Save & Test");
|
||||
error.dataset.kind = "ok";
|
||||
});
|
||||
presetLine.append(lmStudioPreset, element("span", "bpi-config-note", "Connects to localhost:1234 by default; no external API required."));
|
||||
form.append(presetLine);
|
||||
openaiOnly.push(presetLine);
|
||||
const openaiApiKey = addField(openaiOnly, "API Key", "assistant-openai-api-key", "", config.openai_api_key_configured ? "Saved; leave empty to keep" : "Optional for local LM Studio");
|
||||
openaiApiKey.type = "password";
|
||||
const clearApiKey = clearSwitch("Clear saved API Key");
|
||||
const apiKeySpacer = element("span");
|
||||
form.append(apiKeySpacer, clearApiKey.row);
|
||||
openaiOnly.push(apiKeySpacer, clearApiKey.row);
|
||||
const openaiTemperature = addField(openaiOnly, "Temperature", "assistant-openai-temperature", config.openai_temperature, "0–2");
|
||||
openaiTemperature.type = "number";
|
||||
openaiTemperature.min = "0";
|
||||
openaiTemperature.max = "2";
|
||||
openaiTemperature.step = "0.05";
|
||||
const openaiTimeout = addField(openaiOnly, "Timeout (s)", "assistant-openai-timeout", config.openai_timeout_seconds, "5–600");
|
||||
openaiTimeout.type = "number";
|
||||
openaiTimeout.min = "5";
|
||||
openaiTimeout.max = "600";
|
||||
const openaiUrlNote = element("div", "bpi-config-note", "Remote addresses must use https; http is only accepted for this machine. Private, reserved and link-local addresses are rejected. Keys are never sent in clear text over the network.");
|
||||
openaiUrlNote.style.gridColumn = "1 / -1";
|
||||
form.append(openaiUrlNote);
|
||||
openaiOnly.push(openaiUrlNote);
|
||||
|
||||
// Ollama:只允许本机回环,没有密钥
|
||||
const ollamaHead = element("div", "bpm-toolbar");
|
||||
ollamaHead.style.gridColumn = "1 / -1";
|
||||
ollamaHead.append(element("strong", "", "Ollama (local)"));
|
||||
form.append(ollamaHead);
|
||||
ollamaOnly.push(ollamaHead);
|
||||
const ollamaBaseUrl = addField(ollamaOnly, "API URL", "assistant-ollama-base-url", config.ollama_base_url, "http://127.0.0.1:11434");
|
||||
const ollamaModel = addField(ollamaOnly, "Model Name", "assistant-ollama-model", config.ollama_model, "e.g.: qwen3:8b");
|
||||
const ollamaPresetLine = element("div", "bpm-toolbar");
|
||||
ollamaPresetLine.style.gridColumn = "1 / -1";
|
||||
const ollamaPreset = button("Use Ollama Local Preset", () => {
|
||||
aiProvider.value = "ollama";
|
||||
ollamaBaseUrl.value = "http://127.0.0.1:11434";
|
||||
setText(error, "Ollama default URL filled; select a pulled model ID, then Save & Test");
|
||||
error.dataset.kind = "ok";
|
||||
});
|
||||
ollamaPresetLine.append(ollamaPreset, element("span", "bpi-config-note", "Connects to localhost:11434 by default; no external API required."));
|
||||
form.append(ollamaPresetLine);
|
||||
ollamaOnly.push(ollamaPresetLine);
|
||||
const ollamaTemperature = addField(ollamaOnly, "Temperature", "assistant-ollama-temperature", config.ollama_temperature, "0–2");
|
||||
ollamaTemperature.type = "number";
|
||||
ollamaTemperature.min = "0";
|
||||
ollamaTemperature.max = "2";
|
||||
ollamaTemperature.step = "0.05";
|
||||
const ollamaTimeout = addField(ollamaOnly, "Timeout (s)", "assistant-ollama-timeout", config.ollama_timeout_seconds, "5–600");
|
||||
ollamaTimeout.type = "number";
|
||||
ollamaTimeout.min = "5";
|
||||
ollamaTimeout.max = "600";
|
||||
const ollamaUrlNote = element("div", "bpi-config-note", "Ollama only accepts a loopback address on this machine; anything else is rejected before a request is sent.");
|
||||
ollamaUrlNote.style.gridColumn = "1 / -1";
|
||||
form.append(ollamaUrlNote);
|
||||
ollamaOnly.push(ollamaUrlNote);
|
||||
|
||||
// 规则:只有 AI 会读,两个后端各一套(server.py 按当前后端取对应的那套)
|
||||
const addRule = (list, labelText, value) => {
|
||||
const labelElement = element("label", "", labelText);
|
||||
const textarea = element("textarea");
|
||||
textarea.value = value;
|
||||
form.append(labelElement, textarea);
|
||||
return { labelElement, textarea };
|
||||
list.push(labelElement, textarea);
|
||||
return textarea;
|
||||
};
|
||||
const rules = {
|
||||
openai_compatible: {
|
||||
translation: addRule(openaiOnly, "Translation Rule", config.openai_translation_rule),
|
||||
translateOptimize: addRule(openaiOnly, "Translate & Optimize Rule", config.openai_translate_optimize_rule),
|
||||
optimization: addRule(openaiOnly, "Optimize Rule", config.openai_optimization_rule),
|
||||
natural: addRule(openaiOnly, "Natural Language Rule", config.openai_natural_rule),
|
||||
},
|
||||
ollama: {
|
||||
translation: addRule(ollamaOnly, "Translation Rule", config.ollama_translation_rule),
|
||||
translateOptimize: addRule(ollamaOnly, "Translate & Optimize Rule", config.ollama_translate_optimize_rule),
|
||||
optimization: addRule(ollamaOnly, "Optimize Rule", config.ollama_optimization_rule),
|
||||
natural: addRule(ollamaOnly, "Natural Language Rule", config.ollama_natural_rule),
|
||||
},
|
||||
};
|
||||
const translationRule = addRule("Translation Rule", config.translation_rule);
|
||||
const translateOptimizeRule = addRule("Translate & Optimize Rule", config.translate_optimize_rule);
|
||||
const optimizationRule = addRule("Optimize Rule", config.optimization_rule);
|
||||
form.appendChild(error);
|
||||
|
||||
section.appendChild(form);
|
||||
section.appendChild(element("div", "bpi-config-note", "Settings are stored in the ComfyUI user directory. AI key and Baidu secret are retained independently; switching service never clears either. AI key is only cleared when AI backend/URL changes or on a different machine. Neither is written to workflows or returned to the browser."));
|
||||
const actions = element("div", "bpm-assistant-actions");
|
||||
const applyServiceVisibility = () => {
|
||||
const value = service.value;
|
||||
// 只有翻译服务本身就是 AI 时才展开 AI 整段;选词库 / 百度时一段都不显示
|
||||
for (const node of baiduOnly) node.hidden = value !== "baidu";
|
||||
for (const node of aiOnly) node.hidden = !AI_SERVICES.has(value);
|
||||
for (const node of openaiOnly) node.hidden = value !== "openai_compatible";
|
||||
for (const node of ollamaOnly) node.hidden = value !== "ollama";
|
||||
};
|
||||
service.addEventListener("change", applyServiceVisibility);
|
||||
aiProvider.addEventListener("change", applyServiceVisibility);
|
||||
applyServiceVisibility();
|
||||
|
||||
host.appendChild(form);
|
||||
host.appendChild(element("div", "bpi-config-note", "Settings are stored in the ComfyUI user directory. AI key and Baidu secret are retained independently; switching service never clears either. AI key is only cleared when AI backend/URL changes or on a different machine. Neither is written to workflows or returned to the browser."));
|
||||
const actions = element("div", "bpi-form-actions");
|
||||
// 只恢复当前所选后端那套规则,另一套不动
|
||||
const resetButton = button("Reset to Default Rules", () => {
|
||||
translationRule.textarea.value = config.default_translation_rule;
|
||||
translateOptimizeRule.textarea.value = config.default_translate_optimize_rule;
|
||||
optimizationRule.textarea.value = config.default_optimization_rule;
|
||||
const backend = currentBackend();
|
||||
const prefix = backend === "ollama" ? "ollama" : "openai";
|
||||
const active = rules[backend] ?? rules.openai_compatible;
|
||||
active.translation.value = config[`default_${prefix}_translation_rule`];
|
||||
active.translateOptimize.value = config[`default_${prefix}_translate_optimize_rule`];
|
||||
active.optimization.value = config[`default_${prefix}_optimization_rule`];
|
||||
active.natural.value = config[`default_${prefix}_natural_rule`];
|
||||
setText(error, "Defaults restored in editor; click Save to apply");
|
||||
error.dataset.kind = "ok";
|
||||
});
|
||||
@@ -752,7 +921,6 @@ async function buildAssistantSection(section) {
|
||||
error.dataset.kind = "busy";
|
||||
try {
|
||||
config = await saveAssistantConfig(payload());
|
||||
setLanguageMode(config.language);
|
||||
const result = await testAssistantConnection();
|
||||
setText(error, `Connection OK: “${result.message}”`);
|
||||
error.dataset.kind = "ok";
|
||||
@@ -767,8 +935,6 @@ async function buildAssistantSection(section) {
|
||||
saveButton.disabled = true;
|
||||
try {
|
||||
config = await saveAssistantConfig(payload());
|
||||
applyBpiAppearance(config.appearance);
|
||||
setLanguageMode(config.language);
|
||||
setText(error, "Assistant settings saved");
|
||||
error.dataset.kind = "ok";
|
||||
} catch (saveError) {
|
||||
@@ -779,25 +945,34 @@ async function buildAssistantSection(section) {
|
||||
}
|
||||
}, "bpi-primary");
|
||||
actions.append(resetButton, testButton, saveButton);
|
||||
section.appendChild(actions);
|
||||
host.appendChild(actions);
|
||||
// 两套 AI 配置和两套规则都提交(后端对没给的字段才保留原值,这里给全最省心);
|
||||
// 外观 / 语言已在「设置」面板里独立成项(appearanceControl),这里既不提交也不应用
|
||||
const payload = () => ({
|
||||
translate_service: service.value,
|
||||
ai_provider: aiProvider.value,
|
||||
ai_base_url: baseUrl.value.trim(),
|
||||
ai_model: model.value.trim(),
|
||||
ai_api_key: apiKey.value.trim(),
|
||||
clear_ai_api_key: clearApiKey.checked,
|
||||
ai_provider: currentBackend(),
|
||||
openai_base_url: openaiBaseUrl.value.trim(),
|
||||
openai_model: openaiModel.value.trim(),
|
||||
openai_api_key: openaiApiKey.value.trim(),
|
||||
clear_openai_api_key: clearApiKey.checked,
|
||||
openai_temperature: openaiTemperature.value,
|
||||
openai_timeout_seconds: openaiTimeout.value,
|
||||
ollama_base_url: ollamaBaseUrl.value.trim(),
|
||||
ollama_model: ollamaModel.value.trim(),
|
||||
ollama_temperature: ollamaTemperature.value,
|
||||
ollama_timeout_seconds: ollamaTimeout.value,
|
||||
baidu_appid: baiduAppId.value.trim(),
|
||||
baidu_secret_key: baiduSecretKey.value.trim(),
|
||||
clear_baidu_secret_key: clearBaiduSecretKey.checked,
|
||||
baidu_qps: baiduQps.value.trim(),
|
||||
ai_temperature: temperature.value,
|
||||
ai_timeout_seconds: timeout.value,
|
||||
appearance: appearanceSelect.value,
|
||||
language: languageSelect.value,
|
||||
translation_rule: translationRule.textarea.value,
|
||||
translate_optimize_rule: translateOptimizeRule.textarea.value,
|
||||
optimization_rule: optimizationRule.textarea.value,
|
||||
openai_translation_rule: rules.openai_compatible.translation.value,
|
||||
openai_translate_optimize_rule: rules.openai_compatible.translateOptimize.value,
|
||||
openai_optimization_rule: rules.openai_compatible.optimization.value,
|
||||
openai_natural_rule: rules.openai_compatible.natural.value,
|
||||
ollama_translation_rule: rules.ollama.translation.value,
|
||||
ollama_translate_optimize_rule: rules.ollama.translateOptimize.value,
|
||||
ollama_optimization_rule: rules.ollama.optimization.value,
|
||||
ollama_natural_rule: rules.ollama.natural.value,
|
||||
});
|
||||
}
|
||||
|
||||
@@ -809,7 +984,6 @@ function setSection(section) {
|
||||
refs.sections?.querySelector(`.bpm-section[data-section="${id}"]`)?.toggleAttribute("hidden", id !== section);
|
||||
}
|
||||
if (section === "tag-manager") rebuildTagManagerSection();
|
||||
if (section === "assistant" && !manager.assistantLoaded) buildAssistantSection(refs.assistantSection);
|
||||
if (section === "favorites" && !manager.favoritesLoaded) {
|
||||
manager.favoritesLoaded = true;
|
||||
refs.sections.appendChild(buildFavoritesSection());
|
||||
@@ -1109,8 +1283,21 @@ function inspectorNodes() {
|
||||
return (app.graph?._nodes ?? []).filter((node) => node._bilingualPromptInspector?.detailsBody);
|
||||
}
|
||||
|
||||
// 用户在画布上双击节点顶部改名后,列表里显示他自己起的名字;
|
||||
// 名字后面保留节点号,免得两个节点改成同一个名字时认不出来。
|
||||
function customNodeTitle(node) {
|
||||
const current = String(node.title ?? "").trim();
|
||||
// defaultNodeTitle 是节点创建时记下的出厂标题;拿不到就退回节点类型的默认标题,
|
||||
// 两者都拿不到时不做判断,免得把出厂标题当成用户改过的名字。
|
||||
const factory = String(node._bilingualPromptInspector?.defaultNodeTitle ?? node.constructor?.title ?? "").trim();
|
||||
if (!current || !factory || current === factory) return null;
|
||||
return current;
|
||||
}
|
||||
|
||||
function tagNodeLabel(node) {
|
||||
const text = String(node.widgets?.find((widget) => widget.name === "text")?.value ?? "").trim();
|
||||
const custom = customNodeTitle(node);
|
||||
if (custom) return `${custom} · ${t(`Node #${node.id}`)}`;
|
||||
return `${t(`Node #${node.id}`)}: ${text ? text.slice(0, 30) : t("(empty prompt)")}`;
|
||||
}
|
||||
|
||||
@@ -1186,8 +1373,6 @@ function build() {
|
||||
refs.sections.appendChild(refs.tagManagerSection);
|
||||
refs.sections.appendChild(buildTagsSection());
|
||||
refs.sections.appendChild(buildPacksSection());
|
||||
refs.assistantSection = buildAssistantPlaceholder();
|
||||
refs.sections.appendChild(refs.assistantSection);
|
||||
root.append(head, refs.tabs, refs.sections);
|
||||
root.addEventListener("mousedown", (event) => event.stopPropagation());
|
||||
root.addEventListener("wheel", (event) => event.stopPropagation(), { passive: true });
|
||||
@@ -1303,14 +1488,6 @@ function buildPacksSection() {
|
||||
return section;
|
||||
}
|
||||
|
||||
function buildAssistantPlaceholder() {
|
||||
const section = element("div", "bpm-section");
|
||||
section.dataset.section = "assistant";
|
||||
section.hidden = true;
|
||||
section.appendChild(element("div", "bpm-loading", "Settings load on first visit..."));
|
||||
return section;
|
||||
}
|
||||
|
||||
function renderTab(container) {
|
||||
if (!root) build();
|
||||
container.replaceChildren(root);
|
||||
@@ -1341,6 +1518,24 @@ getAssistantConfig()
|
||||
|
||||
app.registerExtension({
|
||||
name: "ComfyUI.BilingualPromptInspector.ManagerPanel",
|
||||
// 助手设置整体挂在 ComfyUI 的「设置」面板里:项名和分类由前端原生渲染,
|
||||
// 不走插件的 t(),直接写中文;控件本体是 assistantSettingsControl() 返回的那块 DOM。
|
||||
settings: [
|
||||
{
|
||||
id: "BilingualPromptInspector.Appearance",
|
||||
name: "语言与外观",
|
||||
type: appearanceControl,
|
||||
defaultValue: "",
|
||||
category: ["双语提示词检查器", "语言与外观"],
|
||||
},
|
||||
{
|
||||
id: "BilingualPromptInspector.AssistantSettings",
|
||||
name: "助手设置",
|
||||
type: assistantSettingsControl,
|
||||
defaultValue: "",
|
||||
category: ["双语提示词检查器", "助手设置"],
|
||||
},
|
||||
],
|
||||
async setup() {
|
||||
if (!app.extensionManager?.registerSidebarTab) {
|
||||
console.warn("[BilingualPromptInspector] Current frontend does not support sidebar; panel unavailable");
|
||||
@@ -1352,7 +1547,7 @@ app.registerExtension({
|
||||
// 侧边栏标签显示的就是插件名,直接写中文:注册发生在启动时,
|
||||
// 语言设置要等后端配置返回才落地,走 t() 会先渲染成英文且不会再刷新。
|
||||
title: "提示词翻译与管理",
|
||||
tooltip: "提示词翻译与管理:标签管理、词库、词包与助手设置",
|
||||
tooltip: "提示词翻译与管理:标签管理、词库、词包与收藏",
|
||||
type: "custom",
|
||||
render: renderTab,
|
||||
destroy: destroyTab,
|
||||
|
||||
+28
-7
@@ -20,6 +20,10 @@ function stripEmphasis(value) {
|
||||
return current;
|
||||
}
|
||||
|
||||
// 没命中任何词库时中文列填的占位文案。它只是「还没翻译」的提示,不是一条真正的译文,
|
||||
// 所以任何往词库回写的地方都要先拿它比对,别把占位当成中文名存进去。
|
||||
export const UNKNOWN_CHINESE = "未收录";
|
||||
|
||||
export function analyzeSegment(raw) {
|
||||
const display = raw.trim();
|
||||
if (!display) return null;
|
||||
@@ -617,13 +621,30 @@ export function validateTranslationResult(source, translated, options = {}) {
|
||||
return { ok: true, text: result };
|
||||
}
|
||||
|
||||
// 插件写死的默认分类:分到它等于还没分类。parser 是纯逻辑模块,不引 UI 那层,
|
||||
// 所以这个常量和 bpi_shared.js 里的那份各存一份,改要一起改。
|
||||
const UNCATEGORIZED_CATEGORY = "Uncategorized";
|
||||
|
||||
// 可信度:徽章只显示「未判定 / 低 / 中 / 高」四档,为什么是这一档写在 tooltip 里。
|
||||
// 判据从粗到细:查不到 → 还没入库 → 没校验 → 没分类 → 有分类。
|
||||
function confidenceFor(status, entry) {
|
||||
if (status === "machine") return { confidence: "low", confidenceLabel: "Low · pending" };
|
||||
if (status === "unverified") return { confidence: "medium", confidenceLabel: "Medium · pending" };
|
||||
if (status === "unknown") return { confidence: "none", confidenceLabel: "Not judged" };
|
||||
if (status === "special") return { confidence: "high", confidenceLabel: "High" };
|
||||
if (entry?.source === "user" || entry?.verified !== false) return { confidence: "high", confidenceLabel: "High" };
|
||||
return { confidence: "medium", confidenceLabel: "Medium" };
|
||||
if (status === "unknown") {
|
||||
return { confidence: "none", confidenceLabel: "Not judged", confidenceReason: "Not in any dictionary, so it cannot be judged" };
|
||||
}
|
||||
if (status === "machine") {
|
||||
return { confidence: "low", confidenceLabel: "Low", confidenceReason: "Machine translation, not saved to the dictionary or confirmed yet" };
|
||||
}
|
||||
if (status === "special") {
|
||||
return { confidence: "high", confidenceLabel: "High", confidenceReason: "Syntax kept as-is; nothing to translate" };
|
||||
}
|
||||
if (entry?.verified === false) {
|
||||
return { confidence: "medium", confidenceLabel: "Medium", confidenceReason: "In the dictionary, but not marked as verified" };
|
||||
}
|
||||
const category = String(entry?.category ?? "").trim();
|
||||
if (category && category !== UNCATEGORIZED_CATEGORY) {
|
||||
return { confidence: "high", confidenceLabel: "High", confidenceReason: `In the dictionary, verified, category “${category}”` };
|
||||
}
|
||||
return { confidence: "medium", confidenceLabel: "Medium", confidenceReason: "In the dictionary, but no category set" };
|
||||
}
|
||||
|
||||
export function parsePrompt(text, dictionaryIndex, machineTranslations = new Map(), options = {}) {
|
||||
@@ -648,7 +669,7 @@ export function parsePrompt(text, dictionaryIndex, machineTranslations = new Map
|
||||
const dictionaryEntry = dictionaryIndex.get(key);
|
||||
const machine = machineTranslations.get(key);
|
||||
let status = "unknown";
|
||||
let chinese = "未收录";
|
||||
let chinese = UNKNOWN_CHINESE;
|
||||
if (dictionaryEntry) {
|
||||
status = dictionaryEntry.verified === false ? "unverified" : "verified";
|
||||
chinese = dictionaryEntry.chinese;
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
{
|
||||
"name": "comfyui-bilingual-prompt-inspector",
|
||||
"version": "2.0.0",
|
||||
"version": "2.1.8",
|
||||
"description": "ComfyUI bilingual prompt inspection, translation, Anima sorting, and on-demand Danbooru dictionary extension.",
|
||||
"private": true,
|
||||
"type": "module",
|
||||
|
||||
+1
-1
@@ -1,6 +1,6 @@
|
||||
[project]
|
||||
name = "prompt-translator-manager"
|
||||
version = "2.0.0"
|
||||
version = "2.1.8"
|
||||
# 与 Comfy Registry 页面上显示的描述保持一致: publish 会用这里的值覆盖网页上的手改
|
||||
description = "ComfyUI prompt node with translation and management: bilingual tag view, drag-to-reorder, temporary hiding, multiple translation services and a sidebar dictionary manager.\nComfyUI 提示节点,支持翻译和管理:双语标签视图、拖拽排序、临时隐藏、多翻译服务和侧边栏词典管理器。"
|
||||
license = { file = "LICENSE" }
|
||||
|
||||
@@ -14,15 +14,20 @@ from comfy import model_management
|
||||
from server import PromptServer
|
||||
|
||||
from .assistant_store import (
|
||||
AI_PROVIDER_PREFIXES,
|
||||
AI_SERVICES,
|
||||
BAIDU_ERROR_MESSAGES,
|
||||
BAIDU_QPS_DEFAULT,
|
||||
BAIDU_TIMEOUT_SECONDS,
|
||||
BAIDU_TRANSLATE_ENDPOINT,
|
||||
AssistantStore,
|
||||
baidu_split_query,
|
||||
baidu_translate_params,
|
||||
dictionary_translate,
|
||||
normalize_ai_base_url,
|
||||
openai_chat_endpoint,
|
||||
sanitize_anima_prompt,
|
||||
sanitize_natural_prompt,
|
||||
translation_direction,
|
||||
)
|
||||
from .dictionary_store import DictionaryStore, normalize_key
|
||||
@@ -170,7 +175,7 @@ async def _baidu_translate(text, to_lang):
|
||||
if not chunks:
|
||||
raise ValueError("待翻译文本为空")
|
||||
qps = config.get("baidu_qps") or BAIDU_QPS_DEFAULT
|
||||
timeout = ClientTimeout(total=config["ai_timeout_seconds"])
|
||||
timeout = ClientTimeout(total=BAIDU_TIMEOUT_SECONDS)
|
||||
results = []
|
||||
async with ClientSession(timeout=timeout) as session:
|
||||
for chunk in chunks:
|
||||
@@ -194,15 +199,21 @@ async def _baidu_translate(text, to_lang):
|
||||
|
||||
|
||||
async def _call_ai_assistant(action, text, instruction, config, connection_test=False):
|
||||
"""翻译/优化都走这里。优化类恒走 AI;翻译类在 translate_service=ai 时也走 AI。"""
|
||||
if not config.get("ai_model"):
|
||||
raise ValueError("尚未填写 AI 模型名称(“翻译并优化”“优化为 Anima”以及 AI 翻译都需要)")
|
||||
ai_provider = config["ai_provider"]
|
||||
"""翻译/优化都走这里。优化类恒走 AI;翻译类在翻译服务就是某个 AI 后端时也走 AI。"""
|
||||
# 两个后端各一套配置和规则。选 OpenAI / Ollama 当翻译服务时它就是后端;
|
||||
# 选词库 / 百度时翻译不走 AI,优化仍走,这时用 ai_provider 决定读哪一套
|
||||
prefix = AI_PROVIDER_PREFIXES.get(config.get("translate_service")) or AI_PROVIDER_PREFIXES.get(
|
||||
config.get("ai_provider", "openai_compatible"), "openai"
|
||||
)
|
||||
if not config.get(f"{prefix}_model"):
|
||||
raise ValueError("尚未填写 AI 模型名称(“翻译并优化”“优化”以及 AI 翻译都需要)")
|
||||
rule = {
|
||||
"translate": config["translation_rule"],
|
||||
"explain": config["translation_rule"],
|
||||
"translate_optimize": config["translate_optimize_rule"],
|
||||
"optimize": config["optimization_rule"],
|
||||
"translate": config[f"{prefix}_translation_rule"],
|
||||
"explain": config[f"{prefix}_translation_rule"],
|
||||
"translate_optimize": config[f"{prefix}_translate_optimize_rule"],
|
||||
"optimize": config[f"{prefix}_optimization_rule"],
|
||||
# 自然语言模式下的「优化」:输入可以是中文,输出是英文自然语句,不走 Anima 标点规则
|
||||
"optimize_natural": config[f"{prefix}_natural_rule"],
|
||||
}[action]
|
||||
if connection_test:
|
||||
rule = "你是连接测试助手。"
|
||||
@@ -216,21 +227,26 @@ async def _call_ai_assistant(action, text, instruction, config, connection_test=
|
||||
rule = f"{rule}\n\n本次任务:无论输入语言为何,最终必须输出经过优化的英文 Anima 提示词。"
|
||||
elif not connection_test and action == "optimize":
|
||||
if re.search(r"[\u3400-\u9fff]", text):
|
||||
raise ValueError("“优化为 Anima”只接受英文;中文或混合文本请使用“翻译并优化”")
|
||||
raise ValueError("“优化”在标签模式下只接受英文;中文或混合文本请使用“翻译并优化”,或把模式切到“自然语言”")
|
||||
rule = f"{rule}\n\n本次任务:整理现有英文内容,不承担翻译。"
|
||||
elif not connection_test and action == "optimize_natural":
|
||||
# 自然语言模式允许中文输入:先译后整理,输出一段英文自然语句
|
||||
direction = "先把中文忠实译为英文,再整理表达" if translation_direction(text) == "to_english" else "整理现有英文内容,不承担翻译"
|
||||
rule = f"{rule}\n\n本次任务方向:{direction}。"
|
||||
if instruction:
|
||||
rule = f"{rule}\n\n用户本次附加要求优先遵循:{instruction.strip()}"
|
||||
timeout = ClientTimeout(total=config["ai_timeout_seconds"])
|
||||
if ai_provider == "ollama":
|
||||
base = (config.get("ai_base_url") or "http://127.0.0.1:11434").rstrip("/")
|
||||
timeout = ClientTimeout(total=config[f"{prefix}_timeout_seconds"])
|
||||
if prefix == "ollama":
|
||||
# Ollama 只允许本机回环地址:这里再校验一次,挡住手改配置文件的情况
|
||||
base = normalize_ai_base_url(config["ollama_base_url"])
|
||||
if base.endswith("/v1"):
|
||||
base = base[:-3].rstrip("/")
|
||||
endpoint = base if base.endswith("/api/chat") else f"{base}/api/chat"
|
||||
payload = {
|
||||
"model": config["ai_model"],
|
||||
"model": config["ollama_model"],
|
||||
"stream": False,
|
||||
"messages": [{"role": "system", "content": rule}, {"role": "user", "content": text}],
|
||||
"options": {"temperature": config["ai_temperature"]},
|
||||
"options": {"temperature": config["ollama_temperature"]},
|
||||
}
|
||||
async with ClientSession(timeout=timeout) as session:
|
||||
async with session.post(endpoint, json=payload) as response:
|
||||
@@ -239,18 +255,20 @@ async def _call_ai_assistant(action, text, instruction, config, connection_test=
|
||||
raise ValueError(data.get("error") or f"Ollama 请求失败:HTTP {response.status}")
|
||||
result = data.get("message", {}).get("content")
|
||||
else:
|
||||
if not config.get("ai_base_url"):
|
||||
# OpenAI 兼容:远端必须 https,本机回环才允许 http
|
||||
base = normalize_ai_base_url(config["openai_base_url"], allow_remote=True)
|
||||
if not base:
|
||||
raise ValueError("尚未填写 OpenAI 兼容 API 地址")
|
||||
headers = {"Content-Type": "application/json"}
|
||||
if config.get("ai_api_key"):
|
||||
headers["Authorization"] = f"Bearer {config['ai_api_key']}"
|
||||
if config.get("openai_api_key"):
|
||||
headers["Authorization"] = f"Bearer {config['openai_api_key']}"
|
||||
payload = {
|
||||
"model": config["ai_model"],
|
||||
"temperature": config["ai_temperature"],
|
||||
"model": config["openai_model"],
|
||||
"temperature": config["openai_temperature"],
|
||||
"messages": [{"role": "system", "content": rule}, {"role": "user", "content": text}],
|
||||
}
|
||||
async with ClientSession(timeout=timeout) as session:
|
||||
async with session.post(openai_chat_endpoint(config["ai_base_url"]), headers=headers, json=payload) as response:
|
||||
async with session.post(openai_chat_endpoint(base), headers=headers, json=payload) as response:
|
||||
data = await response.json(content_type=None)
|
||||
if response.status >= 400:
|
||||
detail = data.get("error") if isinstance(data, dict) else None
|
||||
@@ -264,7 +282,9 @@ async def _call_ai_assistant(action, text, instruction, config, connection_test=
|
||||
raise ValueError("模型没有返回文本结果")
|
||||
if len(result) > 50000:
|
||||
raise ValueError("模型返回内容异常过长")
|
||||
if action in {"translate_optimize", "optimize"}:
|
||||
if action == "optimize_natural":
|
||||
result = sanitize_natural_prompt(result)
|
||||
elif action in {"translate_optimize", "optimize"}:
|
||||
result = sanitize_anima_prompt(result)
|
||||
return result
|
||||
|
||||
@@ -272,13 +292,13 @@ async def _call_ai_assistant(action, text, instruction, config, connection_test=
|
||||
async def _call_configured_assistant(action, text, instruction="", connection_test=False):
|
||||
config = assistant_store.config()
|
||||
translate_service = config["translate_service"]
|
||||
# “翻译并优化”“优化为 Anima”恒走 AI;翻译/解释在 translate_service=ai 时也走 AI
|
||||
needs_ai = action in {"translate_optimize", "optimize"} or (
|
||||
action in {"translate", "explain"} and translate_service == "ai"
|
||||
# “翻译并优化”“优化”恒走 AI;翻译/解释在翻译服务就是某个 AI 后端时也走 AI
|
||||
needs_ai = action in {"translate_optimize", "optimize", "optimize_natural"} or (
|
||||
action in {"translate", "explain"} and translate_service in AI_SERVICES
|
||||
)
|
||||
if needs_ai:
|
||||
return await _call_ai_assistant(action, text, instruction, config, connection_test)
|
||||
# 以下只处理 translate/explain 且 translate_service != "ai"
|
||||
# 以下只处理 translate/explain 且翻译服务不是 AI
|
||||
if translate_service == "dictionary":
|
||||
if connection_test:
|
||||
return "纯词库模式可用"
|
||||
@@ -291,7 +311,7 @@ async def _call_configured_assistant(action, text, instruction="", connection_te
|
||||
return "百度翻译连接成功"
|
||||
to_lang = "zh" if action == "explain" or translation_direction(text) == "to_chinese" else "en"
|
||||
return await _baidu_translate(text, to_lang)
|
||||
raise ValueError("翻译服务配置异常:请在助手设置里选择词库、百度或 AI")
|
||||
raise ValueError("翻译服务配置异常:请在助手设置里选择词库、百度翻译、OpenAI 兼容接口或 Ollama")
|
||||
|
||||
|
||||
@PromptServer.instance.routes.get("/bpi/session")
|
||||
@@ -318,12 +338,6 @@ async def save_assistant_config(request):
|
||||
return error_response(error)
|
||||
|
||||
|
||||
@protected_route("post", "/bpi/assistant/reset-rules")
|
||||
async def reset_assistant_rules(_request):
|
||||
try:
|
||||
return web.json_response({"success": True, "data": assistant_store.reset_rules()})
|
||||
except OSError as error:
|
||||
return error_response(error, 500)
|
||||
|
||||
|
||||
@protected_route("post", "/bpi/assistant/test")
|
||||
@@ -352,7 +366,7 @@ async def run_assistant(request):
|
||||
action = str(payload.get("action", "translate")) if isinstance(payload, dict) else "translate"
|
||||
text = str(payload.get("text", "")) if isinstance(payload, dict) else ""
|
||||
instruction = str(payload.get("instruction", "")) if isinstance(payload, dict) else ""
|
||||
if action not in {"translate", "explain", "translate_optimize", "optimize"}:
|
||||
if action not in {"translate", "explain", "translate_optimize", "optimize", "optimize_natural"}:
|
||||
raise ValueError("未知的助手操作")
|
||||
if not text.strip():
|
||||
raise ValueError("输入内容为空")
|
||||
|
||||
+242
-39
@@ -6,6 +6,7 @@ from pathlib import Path
|
||||
|
||||
from assistant_store import (
|
||||
AssistantStore,
|
||||
DEFAULT_NATURAL_RULE,
|
||||
DEFAULT_OPTIMIZATION_RULE,
|
||||
DEFAULT_TRANSLATE_OPTIMIZE_RULE,
|
||||
DEFAULT_TRANSLATION_RULE,
|
||||
@@ -15,8 +16,10 @@ from assistant_store import (
|
||||
baidu_split_query,
|
||||
baidu_translate_params,
|
||||
dictionary_translate,
|
||||
normalize_ai_base_url,
|
||||
openai_chat_endpoint,
|
||||
sanitize_anima_prompt,
|
||||
sanitize_natural_prompt,
|
||||
translation_direction,
|
||||
)
|
||||
from dictionary_store import DictionaryStore
|
||||
@@ -37,41 +40,108 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
public = store.update({
|
||||
"translate_service": "ai",
|
||||
"translate_service": "openai_compatible",
|
||||
"ai_provider": "openai_compatible",
|
||||
"ai_base_url": "https://example.test/v1",
|
||||
"ai_model": "example-model",
|
||||
"ai_api_key": "secret-value",
|
||||
"translation_rule": "自定义仅翻译",
|
||||
"translate_optimize_rule": "自定义翻译并优化",
|
||||
"optimization_rule": "自定义优化",
|
||||
"openai_base_url": "https://example.test/v1",
|
||||
"openai_model": "example-model",
|
||||
"openai_api_key": "secret-value",
|
||||
"openai_translation_rule": "自定义仅翻译",
|
||||
"openai_translate_optimize_rule": "自定义翻译并优化",
|
||||
"openai_optimization_rule": "自定义优化",
|
||||
})
|
||||
self.assertTrue(public["ai_api_key_configured"])
|
||||
self.assertNotIn("ai_api_key", public)
|
||||
self.assertEqual(store.config()["ai_api_key"], "secret-value")
|
||||
self.assertEqual(store.config()["translation_rule"], "自定义仅翻译")
|
||||
self.assertEqual(store.config()["translate_optimize_rule"], "自定义翻译并优化")
|
||||
self.assertTrue(public["openai_api_key_configured"])
|
||||
self.assertNotIn("openai_api_key", public)
|
||||
self.assertEqual(store.config()["openai_api_key"], "secret-value")
|
||||
self.assertEqual(store.config()["openai_translation_rule"], "自定义仅翻译")
|
||||
self.assertEqual(store.config()["openai_translate_optimize_rule"], "自定义翻译并优化")
|
||||
# 另一套规则不受影响
|
||||
self.assertEqual(store.config()["ollama_translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
self.assertNotIn("explanation_rule", public)
|
||||
|
||||
def test_openai_and_ollama_slots_are_independent(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.update({
|
||||
"ai_provider": "openai_compatible",
|
||||
"openai_base_url": "https://example.test/v1",
|
||||
"openai_model": "cloud-model",
|
||||
"openai_api_key": "secret-value",
|
||||
"openai_translation_rule": "云端规则",
|
||||
})
|
||||
store.update({
|
||||
"ai_provider": "ollama",
|
||||
"ollama_model": "qwen3:8b",
|
||||
"ollama_translation_rule": "本地规则",
|
||||
})
|
||||
config = store.config()
|
||||
self.assertEqual(config["openai_model"], "cloud-model")
|
||||
self.assertEqual(config["openai_api_key"], "secret-value")
|
||||
self.assertEqual(config["openai_translation_rule"], "云端规则")
|
||||
self.assertEqual(config["ollama_model"], "qwen3:8b")
|
||||
self.assertEqual(config["ollama_base_url"], "http://127.0.0.1:11434")
|
||||
self.assertEqual(config["ollama_translation_rule"], "本地规则")
|
||||
|
||||
def test_dictionary_translation_preserves_weight(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
dictionary = self.make_dictionary(root)
|
||||
self.assertEqual(dictionary_translate("长发,(微笑:1.2)", dictionary), "long hair, (smile:1.2)")
|
||||
|
||||
def test_api_key_is_bound_to_provider_and_base_url(self):
|
||||
def test_api_key_is_bound_to_base_url(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.update({
|
||||
"translate_service": "ai",
|
||||
"translate_service": "openai_compatible",
|
||||
"ai_provider": "openai_compatible",
|
||||
"ai_base_url": "https://first.example/v1",
|
||||
"ai_model": "example-model",
|
||||
"ai_api_key": "secret-value",
|
||||
"openai_base_url": "https://first.example/v1",
|
||||
"openai_model": "example-model",
|
||||
"openai_api_key": "secret-value",
|
||||
})
|
||||
self.assertEqual(store.config()["ai_api_key"], "secret-value")
|
||||
public = store.update({"ai_base_url": "https://second.example/v1"})
|
||||
self.assertFalse(public["ai_api_key_configured"])
|
||||
self.assertEqual(store.config()["ai_api_key"], "")
|
||||
self.assertEqual(store.config()["openai_api_key"], "secret-value")
|
||||
public = store.update({"openai_base_url": "https://second.example/v1"})
|
||||
self.assertFalse(public["openai_api_key_configured"])
|
||||
self.assertEqual(store.config()["openai_api_key"], "")
|
||||
|
||||
def test_api_key_survives_provider_switch(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.update({"openai_base_url": "https://example.test/v1", "openai_model": "m", "openai_api_key": "secret-value"})
|
||||
# 切到 Ollama 再切回来,密钥还在
|
||||
store.update({"ai_provider": "ollama"})
|
||||
self.assertEqual(store.config()["openai_api_key"], "secret-value")
|
||||
store.update({"ai_provider": "openai_compatible"})
|
||||
self.assertTrue(store.public_config()["openai_api_key_configured"])
|
||||
|
||||
def test_legacy_ai_translate_service_is_split_by_provider(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.config_dir.mkdir(parents=True, exist_ok=True)
|
||||
store.config_path.write_text(json.dumps({
|
||||
"installation_id": store.installation_id,
|
||||
"schema_version": 4,
|
||||
"translate_service": "ai",
|
||||
"ai_provider": "ollama",
|
||||
"ollama_model": "qwen3:8b",
|
||||
}, ensure_ascii=False), encoding="utf-8")
|
||||
config = store.config()
|
||||
self.assertEqual(config["translate_service"], "ollama")
|
||||
self.assertEqual(config["ai_provider"], "ollama")
|
||||
|
||||
def test_ai_translate_service_pins_the_matching_provider(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.update({
|
||||
"translate_service": "openai_compatible",
|
||||
"openai_base_url": "https://example.test/v1",
|
||||
"openai_model": "m",
|
||||
"openai_api_key": "secret-value",
|
||||
})
|
||||
public = store.update({"translate_service": "ollama"})
|
||||
self.assertEqual(public["translate_service"], "ollama")
|
||||
self.assertEqual(public["ai_provider"], "ollama")
|
||||
back = store.update({"translate_service": "openai_compatible"})
|
||||
self.assertEqual(back["translate_service"], "openai_compatible")
|
||||
self.assertEqual(back["ai_provider"], "openai_compatible")
|
||||
self.assertTrue(back["openai_api_key_configured"])
|
||||
|
||||
def test_new_installation_id_invalidates_saved_configuration(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
@@ -79,25 +149,115 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
first_marker = Path(root) / "first-installation-id"
|
||||
first = AssistantStore(config_dir, install_id_path=first_marker)
|
||||
first.update({
|
||||
"translate_service": "ai",
|
||||
"translate_service": "openai_compatible",
|
||||
"ai_provider": "openai_compatible",
|
||||
"ai_base_url": "https://example.test/v1",
|
||||
"ai_model": "example-model",
|
||||
"ai_api_key": "secret-value",
|
||||
"openai_base_url": "https://example.test/v1",
|
||||
"openai_model": "example-model",
|
||||
"openai_api_key": "secret-value",
|
||||
})
|
||||
second = AssistantStore(config_dir, install_id_path=Path(root) / "second-installation-id")
|
||||
config = second.config()
|
||||
self.assertEqual(config["translate_service"], "dictionary")
|
||||
self.assertEqual(config["ai_base_url"], "")
|
||||
self.assertEqual(config["ai_api_key"], "")
|
||||
self.assertEqual(config["openai_base_url"], "")
|
||||
self.assertEqual(config["openai_api_key"], "")
|
||||
|
||||
def test_remote_http_endpoint_is_rejected_but_local_http_is_allowed(self):
|
||||
def test_openai_base_url_requires_https_or_loopback(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
with self.assertRaisesRegex(ValueError, "HTTPS"):
|
||||
store.update({"ai_provider": "openai_compatible", "ai_base_url": "http://public.example/v1"})
|
||||
result = store.update({"ai_provider": "ollama", "ai_base_url": "http://127.0.0.1:11434"})
|
||||
self.assertEqual(result["ai_base_url"], "http://127.0.0.1:11434")
|
||||
store.update({"openai_base_url": "http://public.example/v1"})
|
||||
with self.assertRaisesRegex(ValueError, "完整的 http"):
|
||||
store.update({"openai_base_url": "public.example/v1"})
|
||||
self.assertEqual(store.update({"openai_base_url": "https://public.example/v1"})["openai_base_url"], "https://public.example/v1")
|
||||
# 本机回环的 http 放行:本地 LM Studio 之类
|
||||
self.assertEqual(store.update({"openai_base_url": "http://127.0.0.1:1234/v1"})["openai_base_url"], "http://127.0.0.1:1234/v1")
|
||||
|
||||
def test_ollama_base_url_must_be_loopback(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
self.assertEqual(store.config()["ollama_base_url"], "http://127.0.0.1:11434")
|
||||
self.assertEqual(store.update({"ollama_base_url": "http://localhost:11434"})["ollama_base_url"], "http://localhost:11434")
|
||||
self.assertEqual(store.update({"ollama_base_url": "http://[::1]:11434"})["ollama_base_url"], "http://[::1]:11434")
|
||||
for blocked in ("http://192.168.1.20:11434", "http://10.0.0.5:11434", "https://ollama.example.test"):
|
||||
with self.assertRaisesRegex(ValueError, "Ollama 地址只能是本机地址"):
|
||||
store.update({"ollama_base_url": blocked})
|
||||
|
||||
def test_remote_https_rejects_private_and_reserved_addresses(self):
|
||||
# https 也不能拐进内网:云元数据、私有网段、链路本地一律拒绝
|
||||
for blocked in (
|
||||
"https://169.254.169.254/latest",
|
||||
"https://192.168.1.20/v1",
|
||||
"https://10.0.0.5/v1",
|
||||
"https://172.16.0.9/v1",
|
||||
"https://[fd00::1]/v1",
|
||||
):
|
||||
with self.assertRaisesRegex(ValueError, "内网、保留或链路本地"):
|
||||
normalize_ai_base_url(blocked, allow_remote=True)
|
||||
# 公网域名与公网 IP 正常放行
|
||||
self.assertEqual(normalize_ai_base_url("https://api.example.test/v1", allow_remote=True), "https://api.example.test/v1")
|
||||
self.assertEqual(normalize_ai_base_url("https://8.8.8.8/v1", allow_remote=True), "https://8.8.8.8/v1")
|
||||
# 本机回环不受这条限制
|
||||
self.assertEqual(normalize_ai_base_url("http://127.0.0.1:1234/v1", allow_remote=True), "http://127.0.0.1:1234/v1")
|
||||
|
||||
def test_private_https_openai_url_is_rejected_on_save(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
with self.assertRaisesRegex(ValueError, "内网、保留或链路本地"):
|
||||
store.update({"openai_base_url": "https://192.168.1.20/v1"})
|
||||
self.assertEqual(store.update({"openai_base_url": "https://api.example.test/v1"})["openai_base_url"], "https://api.example.test/v1")
|
||||
|
||||
def test_normalize_ai_base_url_rejects_credentials_and_query(self):
|
||||
with self.assertRaisesRegex(ValueError, "用户名或密码"):
|
||||
normalize_ai_base_url("https://user:pass@example.test/v1", allow_remote=True)
|
||||
with self.assertRaisesRegex(ValueError, "查询参数"):
|
||||
normalize_ai_base_url("https://example.test/v1?x=1", allow_remote=True)
|
||||
self.assertEqual(normalize_ai_base_url("https://example.test/v1/", allow_remote=True), "https://example.test/v1")
|
||||
self.assertEqual(normalize_ai_base_url(""), "")
|
||||
|
||||
def test_v3_config_migrates_into_selected_provider_slot(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.config_dir.mkdir(parents=True, exist_ok=True)
|
||||
store.config_path.write_text(json.dumps({
|
||||
"installation_id": store.installation_id,
|
||||
"schema_version": 3,
|
||||
"translate_service": "ollama",
|
||||
"ai_provider": "ollama",
|
||||
"ai_base_url": "http://127.0.0.1:11434",
|
||||
"ai_model": "qwen3:8b",
|
||||
"ai_temperature": 0.7,
|
||||
"ai_timeout_seconds": 120,
|
||||
"translation_rule": "我的规则",
|
||||
"translate_optimize_rule": "我的优化规则",
|
||||
"optimization_rule": "我的整理规则",
|
||||
}, ensure_ascii=False), encoding="utf-8")
|
||||
config = store.config()
|
||||
self.assertEqual(config["ollama_base_url"], "http://127.0.0.1:11434")
|
||||
self.assertEqual(config["ollama_model"], "qwen3:8b")
|
||||
self.assertEqual(config["ollama_temperature"], 0.7)
|
||||
self.assertEqual(config["ollama_timeout_seconds"], 120)
|
||||
self.assertEqual(config["openai_model"], "") # 另一套留默认
|
||||
# 规则原本不分后端,两套都继承
|
||||
self.assertEqual(config["ollama_translation_rule"], "我的规则")
|
||||
self.assertEqual(config["openai_translation_rule"], "我的规则")
|
||||
self.assertEqual(config["schema_version"], 4)
|
||||
|
||||
def test_v3_migration_keeps_openai_api_key(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.config_dir.mkdir(parents=True, exist_ok=True)
|
||||
store.config_path.write_text(json.dumps({
|
||||
"installation_id": store.installation_id,
|
||||
"schema_version": 3,
|
||||
"ai_provider": "openai_compatible",
|
||||
"ai_base_url": "https://example.test/v1",
|
||||
"ai_model": "example-model",
|
||||
"ai_api_key": "secret-value",
|
||||
}, ensure_ascii=False), encoding="utf-8")
|
||||
config = store.config()
|
||||
# 绑定的 provider 标记变了,密钥不能因此被当成「换了地址」清掉
|
||||
self.assertEqual(config["openai_api_key"], "secret-value")
|
||||
self.assertTrue(store.public_config()["openai_api_key_configured"])
|
||||
|
||||
def test_dictionary_translation_reports_unknown(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
@@ -157,6 +317,47 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
with self.assertRaisesRegex(ValueError, "仍包含中文"):
|
||||
sanitize_anima_prompt("masterpiece, 杰作")
|
||||
|
||||
def test_natural_prompt_keeps_sentence_punctuation(self):
|
||||
# 与 Anima 清洗的核心区别:句点是句子的一部分,不能被换成逗号
|
||||
self.assertEqual(
|
||||
sanitize_natural_prompt("A woman stands in the rain. She looks tired."),
|
||||
"A woman stands in the rain. She looks tired.",
|
||||
)
|
||||
# 逗号是句子内部的停顿,原样保留
|
||||
self.assertEqual(
|
||||
sanitize_natural_prompt("A woman stands in the rain, tired and cold."),
|
||||
"A woman stands in the rain, tired and cold.",
|
||||
)
|
||||
# 全角标点统一成半角,代码块围栏和转义符照旧清掉
|
||||
self.assertEqual(
|
||||
sanitize_natural_prompt('```text\nA woman stands in the rain,tired。\n```'),
|
||||
"A woman stands in the rain, tired.",
|
||||
)
|
||||
self.assertEqual(
|
||||
sanitize_natural_prompt('A woman \\"stands\\" in the rain'),
|
||||
'A woman "stands" in the rain',
|
||||
)
|
||||
# 模型爱用列表;自然语言结果里列表符号要去掉,换行收成空格
|
||||
self.assertEqual(
|
||||
sanitize_natural_prompt("1. A woman stands in the rain\n2. She looks tired"),
|
||||
"A woman stands in the rain She looks tired",
|
||||
)
|
||||
with self.assertRaisesRegex(ValueError, "仍包含中文"):
|
||||
sanitize_natural_prompt("一名女子站在雨中")
|
||||
|
||||
def test_natural_rule_is_persisted_per_backend(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(config_dir=root, install_id_path=Path(root) / "install")
|
||||
store.update({"openai_natural_rule": "我的自然语言规则", "ollama_natural_rule": "本地规则"})
|
||||
config = store.config()
|
||||
self.assertEqual(config["openai_natural_rule"], "我的自然语言规则")
|
||||
self.assertEqual(config["ollama_natural_rule"], "本地规则")
|
||||
# 另一套不受影响,且默认值能通过 public_config 取回
|
||||
self.assertEqual(config["openai_optimization_rule"], DEFAULT_OPTIMIZATION_RULE)
|
||||
public = store.public_config()
|
||||
self.assertEqual(public["default_openai_natural_rule"], DEFAULT_NATURAL_RULE)
|
||||
self.assertEqual(public["default_ollama_natural_rule"], DEFAULT_NATURAL_RULE)
|
||||
|
||||
def test_legacy_default_rules_are_upgraded(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
@@ -167,9 +368,10 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
"optimization_rule": LEGACY_DEFAULT_OPTIMIZATION_RULE,
|
||||
}, ensure_ascii=False), encoding="utf-8")
|
||||
config = store.config()
|
||||
self.assertEqual(config["translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
self.assertEqual(config["translate_optimize_rule"], DEFAULT_TRANSLATE_OPTIMIZE_RULE)
|
||||
self.assertEqual(config["optimization_rule"], DEFAULT_OPTIMIZATION_RULE)
|
||||
for prefix in ("openai", "ollama"):
|
||||
self.assertEqual(config[f"{prefix}_translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
self.assertEqual(config[f"{prefix}_translate_optimize_rule"], DEFAULT_TRANSLATE_OPTIMIZE_RULE)
|
||||
self.assertEqual(config[f"{prefix}_optimization_rule"], DEFAULT_OPTIMIZATION_RULE)
|
||||
|
||||
def test_v17_default_translation_rule_is_upgraded_without_overwriting_custom_rules(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
@@ -180,10 +382,11 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
"provider": "dictionary",
|
||||
"translation_rule": V17_DEFAULT_TRANSLATION_RULE,
|
||||
}, ensure_ascii=False), encoding="utf-8")
|
||||
self.assertEqual(store.config()["translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
self.assertEqual(store.config()["openai_translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
|
||||
store.update({"translation_rule": "我的自定义翻译规则"})
|
||||
self.assertEqual(store.config()["translation_rule"], "我的自定义翻译规则")
|
||||
store.update({"openai_translation_rule": "我的自定义翻译规则"})
|
||||
self.assertEqual(store.config()["openai_translation_rule"], "我的自定义翻译规则")
|
||||
self.assertEqual(store.config()["ollama_translation_rule"], DEFAULT_TRANSLATION_RULE)
|
||||
|
||||
def test_baidu_provider_saves_and_masks_secret(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
@@ -198,13 +401,13 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
self.assertTrue(public["baidu_secret_key_configured"])
|
||||
self.assertNotIn("baidu_secret_key", public)
|
||||
self.assertEqual(store.config()["baidu_secret_key"], "baidu-secret")
|
||||
self.assertFalse(public["ai_api_key_configured"])
|
||||
self.assertFalse(public["openai_api_key_configured"])
|
||||
|
||||
def test_baidu_secret_is_retained_when_translate_service_changes(self):
|
||||
with tempfile.TemporaryDirectory() as root:
|
||||
store = AssistantStore(Path(root) / "config")
|
||||
store.update({"translate_service": "baidu", "baidu_appid": "appid", "baidu_secret_key": "baidu-secret"})
|
||||
public = store.update({"translate_service": "ai", "ai_provider": "openai_compatible", "ai_base_url": "https://example.test/v1", "ai_model": "m"})
|
||||
public = store.update({"translate_service": "openai_compatible", "ai_provider": "openai_compatible", "openai_base_url": "https://example.test/v1", "openai_model": "m"})
|
||||
self.assertTrue(public["baidu_secret_key_configured"])
|
||||
self.assertEqual(store.config()["baidu_secret_key"], "baidu-secret")
|
||||
|
||||
|
||||
+29
-9
@@ -85,7 +85,15 @@ assert.equal(
|
||||
// 自由文本变量必须用「"…"」包起来才能折叠成 {},否则整句永远匹配不上。
|
||||
// 这里锁死「运行时真实形态」,防止以后有人把引号去掉或换成 ASCII 直引号。
|
||||
for (const [source, expected] of [
|
||||
["“Optimize to Anima” done; please confirm in the preview window", "「优化为 Anima」完成;请在预览窗口确认"],
|
||||
["“Optimize” done; please confirm in the preview window", "「优化」完成;请在预览窗口确认"],
|
||||
["Optimize", "优化"],
|
||||
["Fit height", "适应高度"],
|
||||
["Natural Language Rule", "自然语言规则"],
|
||||
["(Chinese detected; translating to English first)", "(检测到中文,会先译成英文)"],
|
||||
[
|
||||
"Optimize with the rule for the current mode: tag mode tidies the tag flow, natural language mode rewrites it as English sentences",
|
||||
"按当前模式对应的规则优化:标签模式整理标签流,自然语言模式改写为英文自然语句",
|
||||
],
|
||||
["applied “Translate & optimize”; press Ctrl+Z to undo", "已应用 翻译并优化;按 Ctrl+Z 可撤销"],
|
||||
["Undone: “Sort to Anima order”", "已撤销:Sort to Anima order"],
|
||||
["Redone: “Sort to Anima order”", "已重做:Sort to Anima order"],
|
||||
@@ -124,11 +132,19 @@ for (const [source, expected] of [
|
||||
assert.equal(t(source), expected, `未命中:${source}`);
|
||||
}
|
||||
|
||||
// 置信度徽章:这几个是 parser.js 直接产出的界面文本
|
||||
assert.equal(t("Low · pending"), "低 · 待确认");
|
||||
assert.equal(t("Medium · pending"), "中 · 待确认");
|
||||
assert.equal(t("Medium · session-only"), "中 · 仅本次会话");
|
||||
// 置信度:徽章只显示档位,细分原因放在 tooltip,两边都是 parser.js 直接产出的
|
||||
assert.equal(t("Not judged"), "未判定");
|
||||
assert.equal(t("Low"), "低");
|
||||
assert.equal(t("Medium"), "中");
|
||||
assert.equal(t("High"), "高");
|
||||
assert.equal(t("Not in any dictionary, so it cannot be judged"), "词库里查不到,没法判断");
|
||||
assert.equal(t("Machine translation, not saved to the dictionary or confirmed yet"), "机器翻译,还没存进词库,也没人工确认");
|
||||
assert.equal(t("Syntax kept as-is; nothing to translate"), "语法保留项,本来就不用翻译");
|
||||
assert.equal(t("In the dictionary, but not marked as verified"), "词库里有,但还没标成已校验");
|
||||
assert.equal(t("In the dictionary, but no category set"), "词库里有,但还没填分类");
|
||||
assert.equal(t("Changed for this session only; not saved to the dictionary"), "只改了本次会话,没存进词库");
|
||||
// 带分类名的那条:变量被 normalizeKey 折成 {},键里也是 {}
|
||||
assert.equal(t("In the dictionary, verified, category “发型”"), "已在词库里,已校验,分类「发型」");
|
||||
|
||||
// 收藏星标按钮(带符号的整串)
|
||||
assert.equal(t("★ Unfavorite"), "★ 取消收藏");
|
||||
@@ -144,15 +160,19 @@ assert.equal(t("(weight 1.5)"), "(权重 1.5)");
|
||||
// 插件名:侧边栏标签写死中文,面板/关于框走译表,三处必须同一个名字
|
||||
assert.equal(t("Bilingual Prompt Manager"), "提示词翻译与管理");
|
||||
assert.equal(t("Bilingual Prompt Inspector"), "提示词翻译与管理");
|
||||
// 设置面板里「语言与外观」那一项
|
||||
assert.equal(t("Appearance & Language"), "语言与外观");
|
||||
assert.equal(t("Appearance and language saved"), "外观与语言已保存");
|
||||
// 两个本地预设按钮各有一套文案,别混
|
||||
assert.equal(t("Use LM Studio Local Preset"), "使用 LM Studio 本地预设");
|
||||
assert.equal(t("Use Ollama Local Preset"), "使用 Ollama 本地预设");
|
||||
assert.equal(t("Takes effect after saving"), "保存后生效");
|
||||
assert.equal(t("Ollama default URL filled; select a pulled model ID, then Save & Test"), "已填入 Ollama 默认地址;选择已拉取的模型 ID 后保存并测试");
|
||||
// 确认对话框:默认确认按钮是 "OK",必须译为「确认」而不是「正常」
|
||||
assert.equal(t("OK"), "确认");
|
||||
assert.equal(t("Cancel"), "取消");
|
||||
assert.equal(t("This will overwrite node #3 prompt. Cannot be undone with Ctrl+Z."), "这会覆盖节点 #3 的提示词,Ctrl+Z 无法撤销。");
|
||||
assert.equal(t("Delete “Fluffy”? Reference image will be deleted too."), "删除「Fluffy」?参考图也会一并删除。");
|
||||
assert.equal(
|
||||
t("Bilingual Prompt Inspector: Tag Manager, Dictionary, Packs & Assistant Settings"),
|
||||
"提示词翻译与管理:标签管理、词库、词包与助手设置",
|
||||
);
|
||||
assert.equal(t("restored 3 hidden tags; press Ctrl+Z to undo"), "已恢复 3 个隐藏标签;按 Ctrl+Z 可撤销");
|
||||
assert.equal(t("Node #3"), "节点 #3");
|
||||
|
||||
|
||||
@@ -21,7 +21,7 @@ import {
|
||||
|
||||
const source = "masterpiece, (looking at viewer:1.2), <lora:test:0.8>\nBREAK, hand_on_hip";
|
||||
const dictionary = buildDictionaryIndex([
|
||||
{ english: "masterpiece", chinese: "杰作", verified: true },
|
||||
{ english: "masterpiece", chinese: "杰作", verified: true, category: "画质" },
|
||||
{ english: "looking at viewer", chinese: "看向镜头", verified: true },
|
||||
{ english: "hand on hip", chinese: "叉腰", verified: true },
|
||||
]);
|
||||
@@ -210,6 +210,13 @@ assert.ok(diagnostics.some((item) => item.code === "conflict"));
|
||||
|
||||
const knownToken = parsePrompt("masterpiece", dictionary)[0];
|
||||
assert.equal(knownToken.confidence, "high");
|
||||
// 可信度看词条整理得怎么样:填了分类才高,没填分类(含默认的「未分类」)只是中
|
||||
const plain = buildDictionaryIndex([{ english: "masterpiece", chinese: "杰作", verified: true }]);
|
||||
assert.equal(parsePrompt("masterpiece", plain)[0].confidence, "medium");
|
||||
const uncategorized = buildDictionaryIndex([{ english: "masterpiece", chinese: "杰作", verified: true, category: "Uncategorized" }]);
|
||||
assert.equal(parsePrompt("masterpiece", uncategorized)[0].confidence, "medium");
|
||||
const unverified = buildDictionaryIndex([{ english: "masterpiece", chinese: "杰作", verified: false, category: "画质" }]);
|
||||
assert.equal(parsePrompt("masterpiece", unverified)[0].confidence, "medium");
|
||||
const machineToken = parsePrompt("cinematic", dictionary, new Map([["cinematic", { text: "电影感", source: "prompt-assistant" }]]))[0];
|
||||
assert.equal(machineToken.confidence, "low");
|
||||
|
||||
|
||||
@@ -0,0 +1,95 @@
|
||||
"""一键跑全部测试(JS + Python)。
|
||||
|
||||
用法(在插件目录下,或者任何地方都行):
|
||||
X:\\webui\\comfyui\\ComfyUI\\.venv\\Scripts\\python.exe tools\\main_test.py
|
||||
|
||||
会跑两轮:
|
||||
1. tests\\*.mjs —— JS 测试
|
||||
2. tests\\test_*.py —— Python 测试(PYTHONPATH 自己设好,不用手动加)
|
||||
|
||||
两轮都会实时输出,能看着它一条条走完。最后给一个汇总,
|
||||
有失败的会单独列出来。全部通过退出码 0,有失败 1。
|
||||
|
||||
注意:必须用 ComfyUI 的 venv 跑(server.py 要 aiohttp),
|
||||
用别的 Python 会出现 "No module named 'aiohttp'" 且用例数偏少。
|
||||
"""
|
||||
|
||||
import os
|
||||
import pathlib
|
||||
import subprocess
|
||||
import sys
|
||||
|
||||
# 这个脚本放在 tools/ 下(该目录被 .comfyignore 排除,不进发布包),
|
||||
# 所以插件根目录在上一级。放根目录时也能用,这里两种位置都认。
|
||||
ROOT = pathlib.Path(__file__).resolve().parent
|
||||
if not (ROOT / "tests").is_dir():
|
||||
ROOT = ROOT.parent
|
||||
TESTS = ROOT / "tests"
|
||||
|
||||
# 不设成行缓冲的话,接管道(python main_test.py | tail)时我们自己的输出会被攒到最后,
|
||||
# 跟子进程的实时输出插在一起,看起来顺序全乱。
|
||||
sys.stdout.reconfigure(line_buffering=True)
|
||||
|
||||
|
||||
def find_node():
|
||||
"""找 node 可执行文件。
|
||||
|
||||
managed node 的目录号会随环境升级变(22.22.2-3 → 22.22.2-6),
|
||||
写死路径会某天突然全部 FAIL,所以这里动态取最新的那个。
|
||||
"""
|
||||
versions = pathlib.Path.home() / ".workbuddy" / "binaries" / "node" / "versions"
|
||||
if versions.is_dir():
|
||||
candidates = [p for p in versions.iterdir() if p.is_dir() and p.name[:1].isdigit()]
|
||||
for candidate in sorted(candidates, reverse=True):
|
||||
exe = candidate / ("node.exe" if os.name == "nt" else "node")
|
||||
if exe.exists():
|
||||
return str(exe)
|
||||
return "node"
|
||||
|
||||
|
||||
def run_js():
|
||||
files = sorted(TESTS.glob("*.mjs"))
|
||||
if not files:
|
||||
print("[js] 没有找到 tests/*.mjs,跳过")
|
||||
return []
|
||||
node = find_node()
|
||||
print(f"\n=== JS 测试({len(files)} 个)用 {node} ===")
|
||||
failed = []
|
||||
for path in files:
|
||||
result = subprocess.run([node, str(path)], cwd=ROOT)
|
||||
if result.returncode == 0:
|
||||
print(f" PASS {path.name}")
|
||||
else:
|
||||
print(f" FAIL {path.name}")
|
||||
failed.append(path.name)
|
||||
return failed
|
||||
|
||||
|
||||
def run_python():
|
||||
print(f"\n=== Python 测试 用 {sys.executable} ===")
|
||||
env = dict(os.environ, PYTHONPATH=str(ROOT))
|
||||
result = subprocess.run(
|
||||
[sys.executable, "-m", "unittest", "discover", "-s", "tests", "-p", "test_*.py"],
|
||||
cwd=ROOT,
|
||||
env=env,
|
||||
)
|
||||
return [] if result.returncode == 0 else ["python 测试(见上面的输出)"]
|
||||
|
||||
|
||||
def main():
|
||||
if not TESTS.is_dir():
|
||||
sys.exit(f"[test] 找不到 {TESTS}")
|
||||
|
||||
failed = run_js() + run_python()
|
||||
|
||||
print("\n" + "=" * 46)
|
||||
if failed:
|
||||
print(f"有 {len(failed)} 项失败:")
|
||||
for name in failed:
|
||||
print(f" - {name}")
|
||||
sys.exit(1)
|
||||
print("全部通过")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user