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# 更新记录
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## v2.2.0（2026-11-05）
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### 新增右下角提示条
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- 节点的添加、删除、移动、隐藏与取消隐藏，撤销与重做，应用与改写，词库相关操作，「唯一」开关，以及翻译的逐条结果，现在都在屏幕右下角弹出一条提示条：新的出现在最下面，旧的往上顶，最多同时显示 5 条，过一会儿自己收走，也可以点右上角的 ✕ 立刻关掉。
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- 按操作类型分色，一眼能看出刚发生了什么：改内容（应用改写、权重、词条保存等）蓝色，添加标签紫色，删除标签红色，移动标签青色，撤销重做灰色，翻译成功绿色，「唯一」开关橙色。翻译被拒绝的不走这里，仍用右上角的红色弹窗报；每条提示左侧的竖线、图标、出场时抹开的那层颜色都跟着变。
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- 底部快捷输入加标签现在也弹提示条了（以前只写节点状态栏），和搜词库加标签走同一种紫色。
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- 「设置 → 双语提示词检查器 → 通用」里多了一个「右下角提示条」开关，和原来的「右上角通知弹窗」并排；默认开启。关掉后这些提示退回原来的位置——右上角弹窗开着就走弹窗，都关了就走节点状态栏。
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- 担心这点性能开销的可以直接关掉，关掉后行为和你没升级前一样。
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### 删标签时的消失动画
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- 节点里删标签多了一段过渡：那张卡先被一个大 X 从四个角向中心划掉，接着整块颜色铺满，上下各压出一条灰边，最后从左往右擦掉才真正消失。以前是点一下直接没了。
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- 颜色用的是紫色，卡片多长都按实际宽高算，长短标签的动画都贴合卡片自己的边。
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- 卡片擦掉之后，剩下的标签会平滑地滑过来补上空位，不再是一下子跳过去。
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- 动画大约 0.9 秒，这期间那张卡点不动；真正删除在动画结束时才发生，撤销仍然只有一步。
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- 「通用」里那个「通知弹窗及实时动画预览」折叠（以前叫 bulingbuling）多了一个「标签增删动画（节点标签区）」开关，和拖动预览那两个开关并排，默认关。
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- 目前只做节点标签区（卡片右上角的 ×、选中后按 Delete、重复栏双击删除都算）
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### 添加标签时的出现动画
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- 添加标签也有过渡了：新标签从左往右展开出来，旁边的标签平滑滑开让位，不再是一下子出现在那里。底部快捷输入（中文会先翻译再加）和搜词库点结果这两条添加路都算。
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- 加和删共用一个开关，就是上面那个「标签增删动画（节点标签区）」：打开两个动画都播，关掉两个都回到原来的样子。
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- 加到中间时后面的标签也会平滑让位（之前只有加到末尾才正常，插在前面会跳一下）；动画时长 0.42 秒，带一点淡入，看着更连贯。
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### 右上角弹窗不再一条接一条地冒
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- 连点重复栏里的胶囊时，弹窗不再每次新开一张，而是就地把「第 1 / 3 处」换成「第 2 / 3 处」，并从最后一次点击重新计时 5 秒，方便看清楚；只有手点 ✕ 才会立刻收起。
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- 「翻译全部未知」期间右上角只保留一张总进度卡，显示「正在翻译未知标签 3 / 12」；全部译完后进度卡退场，弹出一张新卡显示翻译了多少条、被拒绝了多少条。以前是每译完一条就新冒一张。
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- 弹窗整体换成插件的主题配色，入场和退场都比以前快一点；退场时卡片后面还垫着两层纸，卡片先滑走、接着中间那层、最后才是底纸，三层依次向右离场。
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- 出错的提示停留时间从 3 秒延长到 8 秒——带原因的长句得读两遍才看清，3 秒一闪就过去了。出错时的配色也整体对调：平时离场那层和底边亮线是蓝色，出错时转成紫红，垫在后面的纸转成蓝。
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### 撤销快捷键改为 Shift+Alt+Z / Shift+Alt+Y
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- ComfyUI 里 `Ctrl+Z` 会触发画布自己的撤销，插件不再占用它：撤销改成 `Shift+Alt+Z`，重做改成 `Shift+Alt+Y`，只在节点文本框或英文标签区有焦点时生效。
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- 界面上所有「按 Ctrl+Z 可撤销」的提示都删掉了，侧边栏「标签管理」上方加了一行小字说明插件自己的快捷键。
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- 撤销、重做、删除、移动、隐藏、恢复这类提示全部改成中文，并去掉了「点眼睛斜线图标取消隐藏」这种冗长的解释，弹窗不再被撑得很大。
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### 拖动时可以实时预览顺序
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- 「设置 → 双语提示词检查器 → 通用」里那个「通知弹窗及实时动画预览」折叠里多了两个开关：「拖动实时预览（节点标签区）」和「拖动实时预览（明细表）」，各管一处、互不影响，默认都关着。关掉时和升级前一模一样：只有落点提示，松手才真正生效。
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- 打开后，拖动途中其余标签会实时让位，顺序跟着你走，松手前就能看到最终排布，不用靠猜。
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- 预览期间只挪动界面上的顺序，提示词文本一律不动；松手那一刻才统一写入，所以撤销仍然是一步就能回到拖动前。
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### 拖动时的外观调整
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- 节点标签区：被拖的标签抬起跟随光标，不再放大（原来的放大看着发虚），原位留一个空位，其余标签平滑滑开。
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- 明细表：不做抬起、放大和半透明淡化——淡化会把字看糊。改成给正在拖的那一行加左侧实心色条 + 高亮底色 + 亮色文字，一眼看得出是哪一行在被拖；行自己留在原位，只跟着大家一起滑过去。
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- 落点提示画在整张卡片上（英文行和下面的中文小块一起亮），拖到中文小块上也认。以前只认卡片上半的英文行，指针压在中文上就判定不到目标，插入提示不出现、落点还会被算到列表末尾去。
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### 拖动更稳：修好不让位与疯狂闪烁
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- 拖回原位时其余标签不让位：之前误加了「落点等于原位就直接返回」的判断，导致只有拖到相邻两个提示词中间才回得去。现在拖回哪儿都能正常让位。
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- 拖动途中其余标签疯狂左右闪：把最后一个拖到最前面、或把长提示词往右拖时最明显。根因是让位动画播到一半就被下一次落点判定打断重来（原来的节流只挡一帧，动画却要跑 220ms），来回振荡。改成等动画播完才解锁下一次判定，另加 10px 滞回带——指针停在两个槽位分界线上抖一两像素不会再触发；动画缩短到 160ms 更跟手。
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- 拖动激活阈值调高：节点 4px → 7px、明细表 3px → 6px，轻点着手柄不会误进入拖动。
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### 点哪个节点，侧边栏就切到哪个节点
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- 以前要改哪个节点的提示词，只能在侧边栏「标签管理」顶部的节点下拉里手动挑。现在多了个「点击节点时跟随切换」开关（默认关闭）：设置 → 双语提示词检查器 → 通用 → 点击节点时跟随切换。
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- 打开后：在画布上点一个「双语提示词检查器」节点，侧边栏「标签管理」就切到那个节点，下拉和下面的明细表一起换过去；点编码器、采样器这类别的节点不受影响，仍然停在原来那个检查器节点上。
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- 侧边栏没打开、或者正停在别的分页时也记着：切回「标签管理」直接就是刚才点的那个节点。
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- 关掉和以前一模一样，没有任何变化。开关长在「通用」这一项里、语言设置下面，外观和同处的那几个开关一致；状态存在本机浏览器里，跟着这台机器走，不进工作流。
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### 隐藏的眼睛、删除的 × 各占一个角
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- 英文标签区的每张小卡，鼠标移上去时右上角会同时出现「眼睛（隐藏）」和「×（删除）」，两个按钮叠在一起容易点错。现在「×」是卡片右上角的角标，不再跟英文标签挤在同一行；「眼睛」挪到卡片右下角，两个按钮不再抢同一个位置。
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- 两个角标都浮在卡片上、不占位置：卡片大小和以前完全一样，不会因为多了个按钮把标签撑大、把刚好放得下一整行的标签挤到下一行去；角标压到文字时就是盖在文字上面。
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### 设置面板重新归置
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- 「语言与外观」改名叫「通用」：外观、语言、点击节点时跟随切换三项都收在这一项里。其中跟随节点原来是单独一项设置，单独放的话 ComfyUI 会按分类名排序、怎么调都排不到想要的位置，所以并进「通用」、排在语言下面。
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- 那个叫「bulingbuling」的折叠改名「通知弹窗及实时动画预览」，名字写明白里面到底是什么。
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- 折叠最上面多了一个「全部开启」总开关：一次控制右上角弹窗、右下角提示条、两个拖动预览和标签增删动画这五项；单独关掉其中任何一个，总开关会跟着变成未勾选。显存或电脑资源紧张时可以整组关掉，动画会吃一小部分性能。
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## v2.1.9（2026-10-29）
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### 助手设置里可以自动获取模型列表
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- OpenAI 兼容和 Ollama 两段的「模型名称」旁边多了一个「获取模型」按钮：拿输入框里当前填的地址问一次服务端有哪些模型（OpenAI 兼容问 `/models`，Ollama 问 `/api/tags`），拉到的名字填进输入框自带的下拉——点输入框里的箭头就能选，名称也照旧可以手写。
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- 下拉用浏览器原生的方式挂在输入框上，不弹任何窗口：助手设置长在 ComfyUI 的「设置」面板里，浮层会被它挡住点不动。
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- 再点一次按钮就是重新拉取，按钮上显示拿到了几个；地址改了会自动清空，列表只在本次会话内有效、不写进配置文件。
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- 这次请求用你在 API Key 输入框里填的密钥；输入框留空就用已经保存的那一份（密钥仍不会回传给浏览器），只会随这一次请求发出。
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- 服务端返回看不懂的内容时（比如缺密钥时 DeepSeek 只回一行纯文本 `Authentication Fails`、或网关甩回来一整页登录页），界面直接显示那句原话和状态码，不再崩一段 `Expecting value: line 1 column 1 (char 0)`。「保存并测试连接」和翻译 / 优化走的是同一套解析，一起修好了。
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- 地址照旧走既有的白名单：远端必须 https、内网与链路本地地址驳回、Ollama 只认本机。
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### 设置面板两项统一靠左对齐
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- 「语言与外观」与「助手设置」两块的内容顶到最左边，左边缘齐平，看起来是一整块。标题仍在，由各自的标题行显示，收起的只是 ComfyUI 重复渲染出来的那个名称列。
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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）。
|
||||
- 自然语言片段可以像标签一样设置单独配色。
|
||||
|
||||
## v2.1.0（2026-10-12）
|
||||
|
||||
### 助手设置搬进 ComfyUI 设置面板
|
||||
|
||||
- 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。
|
||||
- 「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。
|
||||
- 「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。
|
||||
|
||||
### OpenAI 兼容与 Ollama 在翻译服务里直接可选
|
||||
|
||||
- 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。
|
||||
- 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。
|
||||
- Ollama 一栏没有密钥输入框。
|
||||
- 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。
|
||||
- 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。
|
||||
- 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。
|
||||
|
||||
### API 地址限制
|
||||
|
||||
- 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。
|
||||
- Ollama 地址只接受本机地址。
|
||||
- 地址里不能带用户名和密码，也不能带 `?` 之后的参数。
|
||||
- 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`）。
|
||||
|
||||
### 百度翻译不再显示翻译规则
|
||||
|
||||
- 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。
|
||||
|
||||
### 暗色模式下的表单配色
|
||||
|
||||
- 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。
|
||||
|
||||
## v2.0.6（2026-10-10）
|
||||
|
||||
### 明细表可以按关键词查找
|
||||
|
||||
@@ -1,10 +1,11 @@
|
||||
# ComfyUI 双语提示词管理器 v2.0.6
|
||||
# ComfyUI 双语提示词管理器 v2.2.0
|
||||
|
||||
> 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。
|
||||
|
||||
<p align="center">
|
||||
<img src="assets/screenshot-main.png" alt="主界面" width="880">
|
||||
<img src="https://raw.githubusercontent.com/mengshengzhijie/tuchuan/master/assets/ComfyUI-Bilingual-Prompt-Inspector/screenshot-main.png" alt="主界面" width="880">
|
||||
</p>
|
||||
|
||||
**它解决什么问题**：Anima / Danbooru 风格的提示词是一长串英文标签，写完很难确认模型到底读到了什么。这个节点把提示词变成可选中、可删除、可排序的芯片，每个芯片旁边就是它的中文解释；输出的永远只有英文提示词本身，中文只用于阅读。
|
||||
|
||||
---
|
||||
@@ -18,6 +19,7 @@
|
||||
- [上游提示词接管](#上游提示词接管)
|
||||
- [收藏](#收藏)
|
||||
- [侧边栏管理面板](#侧边栏管理面板)
|
||||
- [操作反馈](#操作反馈)
|
||||
- [界面导览](#界面导览)
|
||||
- [安装](#安装)
|
||||
- [快速上手](#快速上手)
|
||||
@@ -36,7 +38,7 @@
|
||||
<table>
|
||||
<tr>
|
||||
<td width="26%"><b>标签化视图</b></td>
|
||||
<td>英文提示词按标签切成芯片，点一下就和下方的中文解释、明细行联动高亮。看不清楚的标签不用再猜。</td>
|
||||
<td>英文提示词按标签切成芯片，每张卡片上半是英文、下半就是它的中文解释，点一下还会和侧边栏的明细行联动高亮。看不清楚的标签不用再猜。</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>编辑 / 标签两种形态</b></td>
|
||||
@@ -44,11 +46,15 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>拖拽排序</b></td>
|
||||
<td>按住标签直接拖，或在明细表里拖 <code>⠿</code> 手柄；也可以选中后用 <code>Alt+↑</code> / <code>Alt+↓</code> 微调。排版不会乱——逗号空格样式保留，换行分段不被合并。</td>
|
||||
<td>按住标签直接拖，或在明细表里拖 <code>⠿</code> 手柄；也可以选中后用 <code>Alt+↑</code> / <code>Alt+↓</code> 微调。排版不会乱——逗号空格样式保留，换行分段不被合并。开启「拖动实时预览」后，被拖的标签会浮起来跟着光标走，其余标签像手机桌面挪图标那样平滑让开。</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>临时隐藏</b></td>
|
||||
<td>点标签上的眼睛图标把它移出实际输出。标签不会从节点里消失，只是加删除线并灰化，照常可以拖动、改色、改权重，但模型完全看不到它。适合做「有 / 没有这个标签」的对比出图，之后逐个或一次性全部恢复。</td>
|
||||
<td>鼠标移到标签卡片上，右下角会出现眼睛图标，点它把标签移出实际输出。标签不会从节点里消失，只是加删除线并灰化，照常可以拖动、改色、改权重，但模型完全看不到它。适合做「有 / 没有这个标签」的对比出图，之后逐个或一次性全部恢复。</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>删除标签</b></td>
|
||||
<td>选中标签后卡片右上角出现 <code>×</code>，点它删除；也可以选中后直接按 <code>Delete</code>。删掉的标签会先被划掉、擦走，再从列表里消失；添加标签时新标签则展开出现——两个过渡共用一个开关，可以关掉。</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>权重编辑</b></td>
|
||||
@@ -60,7 +66,7 @@
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>撤销重做</b></td>
|
||||
<td>删除、排序、隐藏、权重、清空全部支持 <code>Ctrl+Z</code> / <code>Ctrl+Y</code>。</td>
|
||||
<td>删除、排序、隐藏、权重、清空全部支持撤销重做，快捷键 <code>Shift+Alt+Z</code> / <code>Shift+Alt+Y</code>（<code>Ctrl+Z</code> 留给 ComfyUI 画布自己的撤销，插件不抢）。快捷键只在节点文本框 / 英文标签区有焦点时生效。</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td><b>换行分段</b></td>
|
||||
@@ -73,8 +79,10 @@
|
||||
|
||||
| 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 +93,7 @@
|
||||
| **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
|
||||
@@ -118,11 +126,33 @@
|
||||
- **使用**：侧边栏「收藏」分页按卡片浏览，卡片直接显示适合模型和备注；支持搜索（模型名也算）、编辑、复制、载入节点、删除，也可以整包导出 JSON 给别的机器导入。
|
||||
- **存放位置**：`ComfyUI/user/bilingual-prompt-inspector/saved_prompts/`（`index.json` + 按 id 命名的图片文件），跟随 ComfyUI 用户目录，不在插件目录内，重装或更新插件不会丢。单图上限 5 MB，最多 2000 条。
|
||||
|
||||
> 「载入节点」会先弹窗确认再覆盖节点文本，这个动作**不支持 `Ctrl+Z` 撤销**。
|
||||
> 「载入节点」会先弹窗确认再覆盖节点文本，这个动作**无法撤销**。
|
||||
|
||||
### 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。
|
||||
|
||||
「标签管理」默认跟着你点开的节点走：在画布上点一个「双语提示词检查器」节点，侧边栏就切到它。不想要这个行为，关掉「设置 → 通用」里的「点击节点时跟随切换」，之后只能在面板顶部的节点下拉里手动选。
|
||||
|
||||
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 ——「通用」和「助手设置」，表单都直接铺在设置面板右侧。
|
||||
|
||||
### 操作反馈
|
||||
|
||||
每次操作都会给一条回执，按操作类型分色，不用再去状态栏找那一行字：
|
||||
|
||||
| 颜色 | 什么时候出现 |
|
||||
|---|---|
|
||||
| 蓝色 | 改内容：应用改写、改权重、隐藏 / 取消隐藏、保存词条、导入词库 |
|
||||
| 紫色 | 添加标签（底部快捷输入、搜词库点结果） |
|
||||
| 红色 | 删除标签 |
|
||||
| 青色 | 移动标签 |
|
||||
| 灰色 | 撤销 / 重做 |
|
||||
| 绿色 | 翻译成功 |
|
||||
| 橙色 | 「唯一」开关 |
|
||||
|
||||
- **右下角提示条**：新的出现在最下面，旧的往上顶，最多同时显示 5 条，过一会儿自己收走，也可以点 ✕ 立刻关掉。
|
||||
- **右上角弹窗**：错误、翻译被拒、批量翻译的进度与汇总、重复标签的定位走这里，红色系、停留更久。同类操作会就地更新同一张卡（比如连点重复胶囊是在同一张卡里翻「第 2 / 3 处」），不会一条接一条地冒；批量翻译期间只留一张总进度卡。
|
||||
- 两个都嫌打扰，可以在「设置 → 通用」里分别关掉「右上角通知弹窗」和「右下角提示条」，关掉后提示退回节点状态栏。
|
||||
|
||||
---
|
||||
|
||||
@@ -130,26 +160,42 @@
|
||||
|
||||
|
||||
|
||||
节点上可以大致分成四块：
|
||||
节点上可以大致分成三块：
|
||||
|
||||
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。
|
||||
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。
|
||||
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. **标签区**——每张卡片上半是英文标签、下半是它的中文解释，只用于阅读，不进入输出，也不会传给下游。标签多了这里会自己滚动，也可以在明细表上方的筛选栏打开「适应高度」，让它跟着节点一起变高。
|
||||
3. **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。
|
||||
|
||||
**明细表不在节点上**：它被侧边栏的「标签管理」借走了（节点旁边的画布空间要留给画面）。那里每行一个标签，列出每行的来源、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。
|
||||
|
||||
---
|
||||
|
||||
## 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
|
||||
```
|
||||
|
||||
**如果网络受限也可以使用gitee或者使用神奇的 “-c” **
|
||||
|
||||
```bash
|
||||
git clone https://gitee.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：
|
||||
@@ -166,7 +212,7 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
1. 把节点接到 CLIP 文本编码器上，和普通提示词节点一样。
|
||||
2. 在「英文原文」里写提示词，或点「编辑文本」写完后点「完成」。
|
||||
3. 在标签视图里逐个检查：点标签看中文解释，双击调权重，拖动手柄排顺序。
|
||||
4. 想确认某个标签到底有没有用？点眼睛图标隐藏它，重新出图对比，再一键恢复。
|
||||
4. 想确认某个标签到底有没有用？鼠标移到标签卡片上，点右下角那颗眼睛隐藏它，重新出图对比，再一键恢复。
|
||||
|
||||
|
||||
|
||||
@@ -176,13 +222,19 @@ 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 |
|
||||
|
||||
模型名称旁边的「获取模型」按钮会拿输入框里当前填的地址问一次服务端有哪些模型（OpenAI 兼容问 `/models`，Ollama 问 `/api/tags`），拉到的名字直接填进输入框自带的下拉里——点输入框里的箭头就能选，也可以完全不管它自己手写。再点一次按钮就是重新拉取。列表只在本次会话内有效、地址一改就作废，不写进配置文件。密钥以输入框里填的为准，输入框留空就用你已经保存的那一份；无论哪种都只随这一次请求发出，不会随着设置一起回传给浏览器。服务端返回看不懂的内容（纯文本报错、登录页之类）时会原话告诉你，不会甩一段 JSON 报错。
|
||||
|
||||
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 +242,18 @@ 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 → 通用」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。
|
||||
|
||||
这个折叠（「通知弹窗及实时动画预览」）里还收着几个手感和提示相关的开关，最上面另有一个「全部开启」总开关，一次控制下面这几项；各项都默认关闭，关掉就是原来那样：
|
||||
|
||||
| 开关 | 管什么 |
|
||||
|---|---|
|
||||
| 右上角通知弹窗 | 错误、被拒、批量翻译进度是否用右上角弹窗报 |
|
||||
| 右下角提示条 | 操作回执是否用右下角提示条显示 |
|
||||
| 拖动实时预览（节点标签区 / 明细表） | 拖动时其余标签是否实时让位，两个区域各管各的 |
|
||||
| 标签增删动画（节点标签区） | 删除标签是否划掉擦走、添加标签是否展开出现 |
|
||||
|
||||
折叠上方还有一项「点击节点时跟随切换」：点画布上的节点时，侧边栏「标签管理」是否跟着切过去。
|
||||
|
||||
---
|
||||
|
||||
@@ -204,7 +267,7 @@ 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>
|
||||
@@ -218,6 +281,12 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
这两种操作只在标签模式与混合模式下可用，纯自然语言模式下没有意义。另外如果开了 ComfyUI 的「现代节点设计（Nodes 2.0）」，请关掉再试，原因见上文安装一节。
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>拖标签时整片标签在动，看不清落点</b></summary>
|
||||
|
||||
那是「拖动实时预览」在起作用（默认关闭）。它会让其余标签实时让开，长提示词下偶尔显得晃；到「设置 → 通用」把它关掉，就退回只有落点提示线的老样子，松手才真正挪动。
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><b>运行到一半卡住了，好像在等什么</b></summary>
|
||||
这是上游接管的暂停确认。节点在等你整理导入的上游文本，点「继续」放行，或点「丢弃」终止本次等待；也可以直接点 ComfyUI 的取消中断。无人确认时约 20 秒会自动透传。
|
||||
@@ -231,6 +300,7 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
- 自动翻译与优化结果都需要人工复查。
|
||||
- 自然语言块不支持按内部单词逐项删除，要回文本模式改。
|
||||
- 拖拽排序与隐藏只在标签模式和混合模式下可用。
|
||||
- 提示条、拖动实时预览、增删动画这几个都属于观感加成，默认关闭；关掉后行为和旧版本完全一致，不影响任何数据。
|
||||
- 隐藏清单、接管开关与导入策略都保存在节点属性里，导出「API 格式」JSON 时不会带出——届时隐藏标记会丢失，被隐藏的标签会直接出现在输出里。
|
||||
- 接管上游提示词需要浏览器界面来确认；用 API 提交工作流时节点自动透传，不会等待。
|
||||
- 收藏不记录工作流名称与节点编号；载入节点会覆盖节点当前文本，只弹窗确认，不支持撤销。
|
||||
@@ -262,6 +332,6 @@ git clone https://github.com/mengshengzhijie/ComfyUI-Bilingual-Prompt-Inspector.
|
||||
|
||||
## 致谢与许可
|
||||
|
||||
基于 [Qiongyi44/ComfyUI-Bilingual-Prompt-Inspector](https://github.com/Qiongyi44/ComfyUI-Bilingual-Prompt-Inspector) 二次开发，现已独立维护。在原版基础上新增了百度翻译、侧边栏管理面板、标签拖拽排序、临时隐藏、上游接管与收藏。
|
||||
基于 [Qiongyi44/ComfyUI-Bilingual-Prompt-Inspector](https://github.com/Qiongyi44/ComfyUI-Bilingual-Prompt-Inspector) 二次开发，现已独立维护。在原版基础上新增了百度翻译、侧边栏管理面板、标签拖拽排序、临时隐藏、上游接管与收藏，以及右下角提示条、拖动实时预览、标签增删动画这些交互细节。
|
||||
|
||||
词库数据来源与授权说明见 `THIRD_PARTY_NOTICE.md`，许可条款见 `LICENSE`，完整使用手册见 `release_docs/使用手册(原README).md`。
|
||||
|
||||
+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.
|
||||
|
||||
@@ -0,0 +1,4 @@
|
||||
<?xml version="1.0" encoding="utf-8"?><!-- Uploaded to: SVG Repo, www.svgrepo.com, Generator: SVG Repo Mixer Tools -->
|
||||
<svg width="800px" height="800px" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
|
||||
<path d="M5 8L10 13M4 14L10 8L12 5M2 5H14M7 2H8M12.913 17H20.087M12.913 17L11 21M12.913 17L15.7783 11.009C16.0092 10.5263 16.1246 10.2849 16.2826 10.2086C16.4199 10.1423 16.5801 10.1423 16.7174 10.2086C16.8754 10.2849 16.9908 10.5263 17.2217 11.009L20.087 17M20.087 17L22 21" stroke="#000000" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>
|
||||
</svg>
|
||||
|
After Width: | Height: | Size: 586 B |
+297
-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("/")
|
||||
@@ -124,6 +205,68 @@ def openai_chat_endpoint(base_url):
|
||||
return f"{base}/chat/completions"
|
||||
|
||||
|
||||
def openai_models_endpoint(base_url):
|
||||
"""Return a model-list endpoint for an OpenAI-compatible base URL."""
|
||||
base = str(base_url or "").strip().rstrip("/")
|
||||
if not base:
|
||||
return ""
|
||||
if base.endswith("/models"):
|
||||
return base
|
||||
if base.endswith("/chat/completions"):
|
||||
base = base[: -len("/chat/completions")].rstrip("/")
|
||||
return f"{base}/models"
|
||||
|
||||
|
||||
def response_snippet(body):
|
||||
"""错误应答常常是一整页 HTML 或带换行的纯文本；压成一行并截断，免得提示框被撑爆。"""
|
||||
return re.sub(r"\s+", " ", str(body or "")).strip()[:160]
|
||||
|
||||
|
||||
def upstream_error_message(body, status, who):
|
||||
"""把上游错误应答压成一句能看懂的中文。
|
||||
|
||||
各家返回的不是齐步走的：OpenAI 系给 JSON，DeepSeek 缺密钥时回的是纯文本一行
|
||||
“Authentication Fails”，还有网关直接甩一页 HTML。所以先看原文能不能解析成 JSON，
|
||||
解析不了就退化成原文片段，绝不在取错误信息的路上把请求整条打崩。
|
||||
`who` 是“Ollama” / “API” 这一类的来源名，只在连原文都没有时用来兜底。
|
||||
"""
|
||||
message = None
|
||||
try:
|
||||
data = json.loads(body)
|
||||
except (TypeError, UnicodeDecodeError, json.JSONDecodeError):
|
||||
data = None
|
||||
if isinstance(data, dict):
|
||||
detail = data.get("error")
|
||||
if isinstance(detail, dict):
|
||||
detail = detail.get("message")
|
||||
message = str(detail).strip() if detail else None
|
||||
hint = "；请检查 API 密钥是否已填写、是否有效" if status in {401, 403} else ""
|
||||
return f"{message or response_snippet(body) or f'{who} 请求失败'}（HTTP {status}{hint}）"
|
||||
|
||||
|
||||
def parse_json_body(body, who):
|
||||
"""解析成功应答；不是 JSON 或不是字典时给一句能看懂的提示，而不是抛堆栈。"""
|
||||
try:
|
||||
data = json.loads(body)
|
||||
except (TypeError, UnicodeDecodeError, json.JSONDecodeError) as error:
|
||||
raise ValueError(f"{who} 返回的不是 JSON（可能是登录页或错误页）：{response_snippet(body)}") from error
|
||||
if not isinstance(data, dict):
|
||||
raise ValueError(f"{who} 返回的内容无法识别：{response_snippet(body)}")
|
||||
return data
|
||||
|
||||
|
||||
def ollama_tags_endpoint(base_url):
|
||||
"""Return the local-model list endpoint for an Ollama base URL."""
|
||||
base = str(base_url or "").strip().rstrip("/")
|
||||
if not base:
|
||||
return ""
|
||||
if base.endswith("/v1"):
|
||||
base = base[:-3].rstrip("/")
|
||||
if base.endswith("/api/chat"):
|
||||
base = base[: -len("/api/chat")].rstrip("/")
|
||||
return f"{base}/api/tags"
|
||||
|
||||
|
||||
def baidu_translate_params(appid, secret_key, query, to_lang, from_lang="auto", salt=None):
|
||||
"""组装百度通用文本翻译接口参数；sign = MD5(appid + q + salt + 密钥)。"""
|
||||
appid = str(appid or "")
|
||||
@@ -217,6 +360,35 @@ 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 +455,6 @@ 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 +464,7 @@ class AssistantStore:
|
||||
return {
|
||||
**DEFAULT_CONFIG,
|
||||
"installation_id": self.installation_id,
|
||||
"ai_credential_binding": "",
|
||||
"openai_credential_binding": "",
|
||||
"baidu_credential_binding": "",
|
||||
}
|
||||
|
||||
@@ -334,6 +495,40 @@ 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 +545,27 @@ 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 +583,18 @@ 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 +610,46 @@ 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 +664,7 @@ 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 +673,34 @@ 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 ——「通用」（`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。
|
||||
- 通用只提交 `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 +116,25 @@
|
||||
- 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。
|
||||
|
||||
## 20. 模型列表由服务端代问，且只在本次会话内缓存
|
||||
|
||||
决定：助手设置的「模型名称」输入框保持自由输入，旁边另加一个「获取模型」按钮。按钮把输入框里当前填的地址和密钥发给插件自己的 `/bpi/assistant/models`，由服务端去问那个 AI 后端（OpenAI 兼容问 `/models`，Ollama 问 `/api/tags`），把名字填进输入框自带的原生下拉（`<datalist>`）；按钮显示「获取模型（N）」，再点一次就是重新拉取。
|
||||
|
||||
不弹窗是有原因的：助手设置长在 ComfyUI 的「设置」面板里，任何浮层都会被这块面板压住、点不动，逼着用户先关掉设置面板。下拉是浏览器原生的输入框附件，既没有层级问题，也不用自己处理定位与溢出。
|
||||
|
||||
原因：地址白名单（远端必须 https、内网与链路本地地址驳回、Ollama 只认本机回环）是整个插件的安全边界。让浏览器直接去拉，这份校验就得在前端重写一遍，而且可以绕过；交给服务端代发，还能顺带解决输入框里那份还没保存的密钥往哪发：填了就用填的，留空就用已存的那份，都只用于这一次请求，返回给浏览器的始终只有模型名字。
|
||||
|
||||
列表不持久化有两点考虑：各家网关的模型随时增减，写进配置文件第二天就是过期数据；地址一改缓存必须作废，把「这次问的地址」和列表绑在同一个闭包里最省事，也不用为它设计一份需要清理的存储格式。
|
||||
|
||||
代价：第一次点按钮要多等一次 `/models` 往返；各家返回结构不一样（`data[].id` 与 `models[].name`），得分别解析。面板一律不去猜哪个模型能聊天——embedding、rerank 之类照常列出，免得误伤名字奇怪但确实可用的模型。
|
||||
|
||||
+864
-168
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,68 @@
|
||||
// 删除标签时的消失动画：X 从四角向心长出 → 颜色从中心铺满整块 → 上下压两条灰边 → 整块从左往右擦掉。
|
||||
// 关掉就是原来的样子：卡片直接消失。这个开关同时管添加动画（见 bpi_insert_anim.js），
|
||||
// 设置里显示为「标签增删动画（节点标签区）」，默认关。
|
||||
const KEY = "bpi.deleteAnim.node.v1";
|
||||
|
||||
// 四拍各自的时长，加起来就是删掉一张卡要等的时间（≈0.9 秒）
|
||||
const TIMING = { grow: 160, spread: 400, wipe: 350 };
|
||||
|
||||
export function deleteAnimNodeEnabled() {
|
||||
try {
|
||||
return window.localStorage.getItem(KEY) === "1";
|
||||
} catch (error) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
export function setDeleteAnimNodeEnabled(next) {
|
||||
try {
|
||||
window.localStorage.setItem(KEY, next ? "1" : "0");
|
||||
} catch (error) {
|
||||
/* 隐私模式下写不进去，本次会话内仍按传入值生效 */
|
||||
}
|
||||
}
|
||||
|
||||
// 卡片尺寸跟着中英文长度变，所以每次删之前都量一遍：对角线角度、半对角线长度、
|
||||
// 铺满整块需要的宽度、上下灰边的高度，全按当前宽高算（和 demo 里 measure() 一个算法）。
|
||||
// onDone 在擦除结束时调用，真正的删除动作在那时才执行。
|
||||
export function playDeleteAnim(card, onDone) {
|
||||
if (!card || card.classList.contains("bpi-deleting")) {
|
||||
onDone?.();
|
||||
return;
|
||||
}
|
||||
const width = card.clientWidth;
|
||||
const height = card.clientHeight;
|
||||
const diagonal = Math.hypot(width, height);
|
||||
card.style.setProperty("--bpi-del-angle", `${(Math.atan2(height, width) * 180) / Math.PI}deg`);
|
||||
card.style.setProperty("--bpi-del-len", `${diagonal / 2}px`);
|
||||
card.style.setProperty("--bpi-del-fill", `${((width * height) / diagonal) * 1.35}px`);
|
||||
card.style.setProperty("--bpi-del-bar-h", `${Math.max(6, Math.min(14, Math.round(height * 0.16)))}px`);
|
||||
|
||||
const stage = document.createElement("div");
|
||||
stage.className = "bpi-del-stage";
|
||||
for (const corner of ["a1", "a2", "b1", "b2"]) {
|
||||
const half = document.createElement("i");
|
||||
half.className = `bpi-del-half bpi-del-half-${corner}`;
|
||||
stage.appendChild(half);
|
||||
}
|
||||
const cover = document.createElement("i");
|
||||
cover.className = "bpi-del-cover";
|
||||
const topBar = document.createElement("i");
|
||||
topBar.className = "bpi-del-bar bpi-del-bar-top";
|
||||
const bottomBar = document.createElement("i");
|
||||
bottomBar.className = "bpi-del-bar bpi-del-bar-bottom";
|
||||
stage.append(cover, topBar, bottomBar);
|
||||
card.appendChild(stage);
|
||||
|
||||
card.classList.add("bpi-deleting");
|
||||
// 先让初始状态落一帧，否则浏览器会把 transition 一起跳过（X 会直接是满的）
|
||||
requestAnimationFrame(() => card.classList.add("bpi-del-grow"));
|
||||
window.setTimeout(() => card.classList.add("bpi-del-spread"), TIMING.grow);
|
||||
window.setTimeout(() => card.classList.add("bpi-del-wipe"), TIMING.grow + TIMING.spread);
|
||||
window.setTimeout(() => {
|
||||
// 删除失败时卡片要能回到原样，所以先把动画痕迹全撤掉再交回去
|
||||
card.classList.remove("bpi-deleting", "bpi-del-grow", "bpi-del-spread", "bpi-del-wipe");
|
||||
stage.remove();
|
||||
onDone?.();
|
||||
}, TIMING.grow + TIMING.spread + TIMING.wipe);
|
||||
}
|
||||
@@ -0,0 +1,39 @@
|
||||
// 拖动实时预览的开关：打开后，拖动标签时被拖的那一项会浮起来跟着光标走，
|
||||
// 原位留一个等大的空位，其余标签用动画平滑让位；松手才真正改写文本，只留一条撤销记录。
|
||||
// 关掉就是原来的样子：拖动过程中只有落点提示线，松手才见效。
|
||||
// 平滑动效每次拖动都要量两遍布局，提示词很长时会多花一点 CPU，所以默认关。
|
||||
// 节点标签区和明细表各一个开关，分开存，互不影响。
|
||||
const NODE_KEY = "bpi.dragPreview.node.v1";
|
||||
const TABLE_KEY = "bpi.dragPreview.table.v1";
|
||||
|
||||
const readFlag = (key) => {
|
||||
try {
|
||||
return window.localStorage.getItem(key) === "1";
|
||||
} catch (error) {
|
||||
return false;
|
||||
}
|
||||
};
|
||||
|
||||
const writeFlag = (key, next) => {
|
||||
try {
|
||||
window.localStorage.setItem(key, next ? "1" : "0");
|
||||
} catch (error) {
|
||||
/* 隐私模式下写不进去就算了，本次会话内仍按传入值生效 */
|
||||
}
|
||||
};
|
||||
|
||||
export function dragPreviewNodeEnabled() {
|
||||
return readFlag(NODE_KEY);
|
||||
}
|
||||
|
||||
export function setDragPreviewNodeEnabled(next) {
|
||||
writeFlag(NODE_KEY, next);
|
||||
}
|
||||
|
||||
export function dragPreviewTableEnabled() {
|
||||
return readFlag(TABLE_KEY);
|
||||
}
|
||||
|
||||
export function setDragPreviewTableEnabled(next) {
|
||||
writeFlag(TABLE_KEY, next);
|
||||
}
|
||||
@@ -0,0 +1,12 @@
|
||||
// 添加标签时的出现动画：新卡片从左往右展开（删除那套手势反过来用），
|
||||
// 其余卡片同时滑开让位。开关跟删除共用一个（设置里那个「标签增删动画」），
|
||||
// 所以这个文件只管播，不管开关。
|
||||
// 时长比删除短一些，但留足 0.42 秒：太快会看着像「啪」一下跳出来的。
|
||||
export const INSERT_MS = 420;
|
||||
|
||||
export function playInsertAnim(cards) {
|
||||
for (const card of cards) {
|
||||
card.classList.add("bpi-inserting");
|
||||
window.setTimeout(() => card.classList.remove("bpi-inserting"), INSERT_MS + 60);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,445 @@
|
||||
// 右上角通知弹窗：开关打开时，节点面板里的操作提示改成弹窗显示；关掉就还是原来那条状态文字。
|
||||
// 动画时间线照抄 deepseek_html_20261028_2e0b65.html（副本存在 .workbuddy/refs/notif-template.html），
|
||||
// 大号标识内联 assets/translate.svg（见下方 LOGO_SVG），尺寸按卡片高度算。
|
||||
// 多条通知同时存在时从上往下堆叠（新的插在最上面，把旧的往下挤），最多同时 3 条。
|
||||
import { element, t } from "./bpi_shared.js";
|
||||
|
||||
const STORAGE_KEY = "bpi.notify.v1";
|
||||
const HOLD_MS = 3000;
|
||||
// 报错停留更久：出错时要读两遍才看清（尤其是带原因的长句），3 秒一闪就过去了
|
||||
const ERROR_HOLD_MS = 8000;
|
||||
// 同一 group 的提示（节点里反复点「唯一」开关这类）停留更久，方便看清内容；
|
||||
// 期间再来一条同组的就原地换字并把这段时间重新计一遍，不另开卡片
|
||||
const REFRESH_HOLD_MS = 5000;
|
||||
const STICKY_MAX_MS = 10000; // 「处理中」最多挂这么久，等不到结果也自己收掉
|
||||
// 「处理中」至少完整露脸这么久（入场动画本身约 1150ms）：加载太快时结果会瞬间顶掉它，
|
||||
// 看着就是闪一下，所以结果先扣着，等这一阶段播够了再换
|
||||
const MIN_BUSY_MS = 1200;
|
||||
const PADDING_EXTRA = 38; // 卡片上下 padding 36 + 上下 border 2
|
||||
// 标识尺寸 = 卡片初始高度 × 这个比例（下限/上限见下方 logoSize，防止太小或撑出卡片）
|
||||
const LOGO_HEIGHT_RATIO = 0.58;
|
||||
const MAX_CARDS = 3;
|
||||
|
||||
let injected = false;
|
||||
let stack = null;
|
||||
// 从上到下排列，cards[0] 是最新的那条
|
||||
const cards = [];
|
||||
|
||||
// 开关状态只存本地：这是实验功能，先不惊动后端那套 assistant_settings
|
||||
export function notifyEnabled() {
|
||||
try {
|
||||
return window.localStorage.getItem(STORAGE_KEY) === "1";
|
||||
} catch (error) {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
export function setNotifyEnabled(next) {
|
||||
try {
|
||||
window.localStorage.setItem(STORAGE_KEY, next ? "1" : "0");
|
||||
} catch (error) {
|
||||
/* 隐私模式下写不进去就算了，本次会话内仍按传入值生效 */
|
||||
}
|
||||
}
|
||||
|
||||
const STYLE_ID = "bpi-notify-style";
|
||||
const CSS = `
|
||||
/* 弹窗自己的主题色：只在这一层覆盖，插件别处的 --bpm-accent（绿）不受影响。
|
||||
它用在入场最后落下的那层、和垫在最底下的那张纸（左侧竖条）；换青色是为了和退场那层紫红搭。
|
||||
另加两个分组变量，出错时这两个颜色对调（见下面 .bpi-notif-error）：
|
||||
--bpi-notif-front 管「离场上抹层 + 底边亮线」（默认蓝 #0b8ce9），
|
||||
--bpi-notif-paper 管垫在卡片正后方那张纸（默认紫红 #d946ef）。 */
|
||||
.bpi-notif-stack{position:fixed;top:30px;right:0;width:min(320px,calc(100vw - 40px));z-index:9999;display:flex;flex-direction:column;gap:10px;--bpm-accent:#14b8a6;--bpi-notif-front:#0b8ce9;--bpi-notif-front-rgb:11,140,233;--bpi-notif-paper:#d946ef}
|
||||
/* 投影只有暗色下才需要那么重，亮色下换成淡的；其余颜色都跟着插件的 --bpi-* 主题变量走 */
|
||||
[data-bpi-theme="light"] .bpi-notif-stack{--bpi-notif-shadow:0 14px 34px rgba(0,0,0,.16);--bpi-notif-logo-shadow:0 2px 10px rgba(0,0,0,.22)}
|
||||
.bpi-notif-slot{position:relative;width:100%;flex:none}
|
||||
/* 出错时「上抹层的蓝」和「垫纸的紫红」对调：上抹层与底边亮线转成紫红 #d946ef，
|
||||
垫纸转成蓝 #0b8ce9，撤场那三层从前往后变成「紫红 → 蓝 → 红」。
|
||||
左侧竖条（--bpm-accent）和入场两层保持红色，不参与这次对调 */
|
||||
.bpi-notif-slot.bpi-notif-error{--bpm-accent:#e06c75;--bpi-notif-front:#d946ef;--bpi-notif-front-rgb:217,70,239;--bpi-notif-paper:#0b8ce9}
|
||||
/* 双层纸的下面那张：只在卡片左侧露出 6px，用插件主题色，充当卡片左侧的色条 */
|
||||
.bpi-notif-under{position:absolute;top:0;right:0;bottom:0;left:-6px;background:var(--bpm-accent,#45926f);border:0;z-index:0;pointer-events:none;opacity:0;transform:translateY(-120%);transition:transform .5s cubic-bezier(.16,1,.3,1),opacity .4s ease}
|
||||
.bpi-notif-under.bpi-show{opacity:1;transform:translateY(0)}
|
||||
.bpi-notif-under.bpi-wipe{transform:translateX(125%);transition:transform .32s cubic-bezier(.55,0,.8,.4)}
|
||||
.bpi-notif{position:relative;z-index:1;width:100%;padding:18px 20px;background:var(--bpi-surface-modal,#20252d);border:1px solid var(--bpi-border,#3a4250);border-radius:0;box-shadow:var(--bpi-notif-shadow,0 20px 50px rgba(0,0,0,.65));overflow:hidden;max-height:90px;opacity:0;transform:translateY(-120%);transition:transform .5s cubic-bezier(.16,1,.3,1),opacity .4s ease,max-height .32s cubic-bezier(.3,.8,.3,1);will-change:transform,opacity,max-height}
|
||||
.bpi-notif.bpi-play{opacity:1;transform:translateY(0)}
|
||||
/* 底边亮线跟离场那层同色（--bpi-notif-front）：默认蓝，出错时一起转紫红，
|
||||
和垫在卡片后面那张纸（此时转成蓝）正好对调。它不是左侧竖条，竖条是 --bpm-accent */
|
||||
.bpi-notif::after{content:"";position:absolute;left:0;right:0;bottom:0;height:3px;background:var(--bpi-notif-front,#0b8ce9);box-shadow:0 0 12px rgba(var(--bpi-notif-front-rgb,11,140,233),.55),0 0 4px rgba(var(--bpi-notif-front-rgb,11,140,233),.8);z-index:1;pointer-events:none}
|
||||
.bpi-notif.bpi-out{pointer-events:none;animation:bpiExitSlide .36s cubic-bezier(.55,0,.8,.4) forwards}
|
||||
@keyframes bpiExitSlide{from{transform:translateX(0)}to{transform:translateX(125%)}}
|
||||
.bpi-notif-content{display:flex;flex-direction:column;gap:10px;position:relative;z-index:0}
|
||||
.bpi-notif-head{padding-right:24px}
|
||||
.bpi-notif-title{font-size:15px;font-weight:600;color:var(--bpi-text,#e6edf7);letter-spacing:.3px;line-height:1.35;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}
|
||||
.bpi-notif-extra{font-size:13px;color:var(--bpi-text-muted,#aab5c5);line-height:1.65;letter-spacing:.2px;opacity:0;transition:opacity .4s ease .1s;padding-bottom:6px;word-break:break-word}
|
||||
.bpi-notif.bpi-expand .bpi-notif-extra{opacity:1}
|
||||
.bpi-notif-logo{position:absolute;left:22px;top:50%;transform:translateY(-50%);line-height:0;color:#fff;pointer-events:none;user-select:none;filter:drop-shadow(var(--bpi-notif-logo-shadow,0 2px 14px rgba(0,0,0,.55)))}
|
||||
.bpi-notif-logo svg{display:block;height:var(--bpi-notif-logo-size,36px);width:auto}
|
||||
.bpi-notif-logo-standalone{z-index:9;opacity:0;transition:opacity .22s ease}
|
||||
.bpi-notif.bpi-logo-visible .bpi-notif-logo-standalone{opacity:1}
|
||||
/* 入场：先整块是蓝（mask 底色），再从上方落下绿色那层盖住 → 620ms 向右扫出去的瞬间是绿的 */
|
||||
.bpi-notif-mask{position:absolute;inset:0;background:#0b8ce9;z-index:7;pointer-events:none;transform:translateX(0)}
|
||||
.bpi-notif.bpi-play .bpi-notif-mask{animation:bpiMaskSweep .34s cubic-bezier(.55,0,.2,1) .48s forwards}
|
||||
@keyframes bpiMaskSweep{from{transform:translateX(0)}to{transform:translateX(112%)}}
|
||||
.bpi-notif-seq{position:absolute;inset:0;transform:translateY(-100%);will-change:transform}
|
||||
.bpi-notif-seq:first-child{background:#0b8ce9;z-index:1}
|
||||
/* 入场最后落下的那层：主题绿，扫出去露出内容前看到的颜色 */
|
||||
.bpi-notif-seq:nth-child(2){background:var(--bpm-accent,#45926f);z-index:2}
|
||||
.bpi-notif.bpi-play .bpi-notif-seq:first-child{animation:bpiSeqDrop .22s cubic-bezier(.3,.7,.3,1) 0s forwards}
|
||||
.bpi-notif.bpi-play .bpi-notif-seq:nth-child(2){animation:bpiSeqDrop .22s cubic-bezier(.3,.7,.3,1) .08s forwards}
|
||||
@keyframes bpiSeqDrop{from{transform:translateY(-100%)}to{transform:translateY(0)}}
|
||||
.bpi-notif-logo-in-mask{z-index:3}
|
||||
/* 离场时从卡片下方往上抹满整张卡片的那层：跟底边亮线同色（--bpi-notif-front），
|
||||
默认蓝、出错时紫红 */
|
||||
.bpi-notif-cover{position:absolute;inset:0;background:var(--bpi-notif-front,#0b8ce9);z-index:8;pointer-events:none;transform:translateY(calc(100% + 3px));transition:transform .38s cubic-bezier(.45,0,.2,1);will-change:transform}
|
||||
.bpi-notif.bpi-covering .bpi-notif-cover{transform:translateY(0)}
|
||||
/* 垫在卡片正后方的那张紫红纸：和卡片一样大、不往外露，所以静止时完全被卡片盖住看不见；
|
||||
DOM 排在绿底纸之后 → 压在绿纸上面，卡片滑走后先看到它，它再滑走才轮到绿纸。
|
||||
顺序：卡片（蓝）→ 紫红 → 绿，三层依次向右走；出错时前两层对调，变成紫红 → 蓝 → 红。 */
|
||||
.bpi-notif-sheet{position:absolute;top:0;right:0;bottom:0;left:0;background:var(--bpi-notif-paper,#d946ef);border:0;z-index:0;pointer-events:none;opacity:0;transform:translateY(-120%);transition:transform .5s cubic-bezier(.16,1,.3,1),opacity .4s ease}
|
||||
.bpi-notif-sheet.bpi-show{opacity:1;transform:translateY(0)}
|
||||
.bpi-notif-sheet.bpi-wipe{transform:translateX(125%);transition:transform .32s cubic-bezier(.55,0,.8,.4)}
|
||||
.bpi-notif-close{position:absolute;top:6px;right:6px;z-index:10;width:28px;height:28px;display:grid;place-items:center;padding:0;border:0;border-radius:0;background:transparent;color:var(--bpi-text-muted,#aab5c5);cursor:pointer;transition:background .15s ease,color .15s ease}
|
||||
.bpi-notif-close:hover{background:var(--bpi-handle-hover-bg,#2b3a4d);color:var(--bpi-text,#e6edf7)}
|
||||
.bpi-notif-close:active{background:var(--bpi-mini-hover-bg,#3c4b60)}
|
||||
@media (prefers-reduced-motion: reduce){
|
||||
.bpi-notif,.bpi-notif-extra,.bpi-notif.bpi-out,.bpi-notif-cover,.bpi-notif-logo-standalone,.bpi-notif-seq,.bpi-notif-sheet,.bpi-notif-under,.bpi-notif.bpi-play .bpi-notif-mask{animation-duration:.01ms !important;animation-delay:0s !important;transition-duration:.01ms !important}
|
||||
}
|
||||
`;
|
||||
|
||||
function injectStyles() {
|
||||
if (injected || document.getElementById(STYLE_ID)) {
|
||||
injected = true;
|
||||
return;
|
||||
}
|
||||
const style = document.createElement("style");
|
||||
style.id = STYLE_ID;
|
||||
style.textContent = CSS;
|
||||
document.head.appendChild(style);
|
||||
injected = true;
|
||||
}
|
||||
|
||||
// 标识内联 assets/translate.svg 的那条 path：插件的 /extensions 静态根只到 js/，
|
||||
// assets/ 在插件根取不到（请求会 404），内联省得再搬一份文件，也不受静态服务影响。
|
||||
// 原图 stroke 是黑的，这里改 currentColor 交给 CSS 上色。
|
||||
const LOGO_SVG = '<svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg" aria-hidden="true">'
|
||||
+ '<path d="M5 8L10 13M4 14L10 8L12 5M2 5H14M7 2H8M12.913 17H20.087M12.913 17L11 21M12.913 17L15.7783 11.009C16.0092 10.5263 16.1246 10.2849 16.2826 10.2086C16.4199 10.1423 16.5801 10.1423 16.7174 10.2086C16.8754 10.2849 16.9908 10.5263 17.2217 11.009L20.087 17M20.087 17L22 21" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/>'
|
||||
+ "</svg>";
|
||||
|
||||
function buildLogo(extraClass) {
|
||||
const logo = element("div", `bpi-notif-logo ${extraClass}`);
|
||||
logo.innerHTML = LOGO_SVG;
|
||||
return logo;
|
||||
}
|
||||
|
||||
function ensureStack() {
|
||||
if (stack) return;
|
||||
stack = element("div", "bpi-notif-stack");
|
||||
document.body.appendChild(stack);
|
||||
}
|
||||
|
||||
function createCard() {
|
||||
const slot = element("div", "bpi-notif-slot");
|
||||
// 由下而上：绿底纸 → 紫红垫纸 → 卡片（卡片盖住前两张，紫红只在卡片滑走后才露出来）
|
||||
const under = element("div", "bpi-notif-under");
|
||||
const sheet = element("div", "bpi-notif-sheet");
|
||||
const notif = element("div", "bpi-notif");
|
||||
|
||||
const logoStandalone = buildLogo("bpi-notif-logo-standalone");
|
||||
|
||||
const content = element("div", "bpi-notif-content");
|
||||
const head = element("div", "bpi-notif-head");
|
||||
// 折叠时只显示标题那一行，消息正文放在展开后才淡入的 extra 里，不再重复一遍
|
||||
const titleEl = element("div", "bpi-notif-title");
|
||||
const extraEl = element("div", "bpi-notif-extra");
|
||||
head.appendChild(titleEl);
|
||||
content.append(head, extraEl);
|
||||
|
||||
const mask = element("div", "bpi-notif-mask");
|
||||
mask.append(element("div", "bpi-notif-seq"), element("div", "bpi-notif-seq"));
|
||||
mask.appendChild(buildLogo("bpi-notif-logo-in-mask"));
|
||||
|
||||
const cover = element("div", "bpi-notif-cover");
|
||||
|
||||
const close = element("button", "bpi-notif-close", "✕");
|
||||
close.type = "button";
|
||||
|
||||
notif.append(logoStandalone, content, mask, cover, close);
|
||||
slot.append(under, sheet, notif);
|
||||
|
||||
const card = {
|
||||
slot, notif, under, sheet, content, head, titleEl, extraEl,
|
||||
item: null,
|
||||
sticky: false,
|
||||
shownAt: 0,
|
||||
pendingItem: null,
|
||||
pendingTimer: null,
|
||||
timers: [],
|
||||
closed: false,
|
||||
leaving: false,
|
||||
};
|
||||
close.addEventListener("click", () => dismissCard(card));
|
||||
return card;
|
||||
}
|
||||
|
||||
function clearCardTimers(card) {
|
||||
card.timers.forEach((id) => clearTimeout(id));
|
||||
card.timers = [];
|
||||
}
|
||||
|
||||
// 状态词当标题，消息本身放正文：标题一行放不下的长句，展开后能看全
|
||||
function titleFor(kind) {
|
||||
if (kind === "ok") return "Done";
|
||||
if (kind === "error") return "Something went wrong";
|
||||
if (kind === "busy") return "Working...";
|
||||
return "Notice";
|
||||
}
|
||||
|
||||
function sameItem(a, b) {
|
||||
return !!a && !!b && a.message === b.message && a.kind === b.kind;
|
||||
}
|
||||
|
||||
// 「处理中」一直挂着，等下一条结果把它顶掉；真等不到结果，兜底这么多毫秒后自己收掉
|
||||
function armDismiss(card) {
|
||||
card.sticky = card.item.kind === "busy";
|
||||
if (card.sticky) {
|
||||
card.shownAt = Date.now();
|
||||
card.timers.push(setTimeout(() => dismissCard(card), STICKY_MAX_MS));
|
||||
return;
|
||||
}
|
||||
const baseHold = card.item.kind === "error" ? ERROR_HOLD_MS : HOLD_MS;
|
||||
const hold = Number(card.item.hold) > 0 ? Number(card.item.hold) : baseHold;
|
||||
card.timers.push(setTimeout(() => dismissCard(card), hold));
|
||||
}
|
||||
|
||||
function measure(card) {
|
||||
const notif = card.notif;
|
||||
notif.style.transition = "none";
|
||||
notif.style.maxHeight = "none";
|
||||
void notif.offsetWidth;
|
||||
|
||||
const fullH = card.content.scrollHeight + PADDING_EXTRA;
|
||||
const initialH = card.head.offsetHeight + PADDING_EXTRA;
|
||||
|
||||
// 标识跟着卡片大小走，再多也不许超过卡片宽度的四分之一，免得顶到外面被裁掉
|
||||
const logoSize = Math.max(28, Math.min(Math.round(initialH * LOGO_HEIGHT_RATIO), Math.round(notif.offsetWidth * 0.24)));
|
||||
notif.style.setProperty("--bpi-notif-logo-size", `${logoSize}px`);
|
||||
return { fullH, initialH };
|
||||
}
|
||||
|
||||
function playCard(card) {
|
||||
clearCardTimers(card);
|
||||
card.item = card.item || { message: "", kind: "" };
|
||||
card.slot.classList.toggle("bpi-notif-error", card.item.kind === "error");
|
||||
|
||||
// 摘类之前先关掉过渡：卡片此刻停在屏幕右侧（上一次退场的位置），
|
||||
// 带着过渡摘类会让它斜着飞回入场起点，看着就是「结束后往上一跳」
|
||||
card.notif.style.transition = "none";
|
||||
card.under.style.transition = "none";
|
||||
card.sheet.style.transition = "none";
|
||||
card.notif.classList.remove("bpi-play", "bpi-out", "bpi-expand", "bpi-covering", "bpi-logo-visible");
|
||||
card.under.classList.remove("bpi-show", "bpi-wipe");
|
||||
card.sheet.classList.remove("bpi-show", "bpi-wipe");
|
||||
void card.notif.offsetWidth;
|
||||
void card.under.offsetWidth;
|
||||
void card.sheet.offsetWidth;
|
||||
|
||||
card.extraEl.textContent = t(card.item.message);
|
||||
card.titleEl.textContent = t(titleFor(card.item.kind));
|
||||
|
||||
// 先放开量完整高度，再压回只够显示标题的高度，最后才恢复过渡
|
||||
const { fullH, initialH } = measure(card);
|
||||
card.initialH = initialH;
|
||||
card.notif.style.maxHeight = `${initialH}px`;
|
||||
void card.notif.offsetWidth;
|
||||
|
||||
card.notif.style.transition = "";
|
||||
void card.notif.offsetWidth;
|
||||
|
||||
card.notif.classList.add("bpi-play");
|
||||
card.under.style.transition = ""; // 归位已无过渡完成，这里恢复后才能滑入
|
||||
card.sheet.style.transition = "";
|
||||
void card.under.offsetWidth;
|
||||
void card.sheet.offsetWidth;
|
||||
card.under.classList.add("bpi-show");
|
||||
card.sheet.classList.add("bpi-show");
|
||||
|
||||
card.timers.push(setTimeout(() => {
|
||||
card.notif.classList.add("bpi-expand");
|
||||
card.notif.style.maxHeight = `${fullH}px`;
|
||||
}, 880));
|
||||
|
||||
armDismiss(card);
|
||||
}
|
||||
|
||||
// 结果到了：不重播入场动画，直接换掉卡片里的文字，展开高度跟着新内容重算
|
||||
function updateCardContent(card, item) {
|
||||
clearCardTimers(card);
|
||||
card.item = item;
|
||||
card.slot.classList.toggle("bpi-notif-error", item.kind === "error");
|
||||
card.extraEl.textContent = t(item.message);
|
||||
card.titleEl.textContent = t(titleFor(item.kind));
|
||||
|
||||
card.notif.style.transition = "none";
|
||||
card.notif.style.maxHeight = "none";
|
||||
void card.notif.offsetWidth;
|
||||
card.notif.style.maxHeight = `${card.content.scrollHeight + PADDING_EXTRA}px`;
|
||||
void card.notif.offsetWidth;
|
||||
card.notif.style.transition = "";
|
||||
card.notif.classList.add("bpi-expand");
|
||||
|
||||
armDismiss(card);
|
||||
}
|
||||
|
||||
// 结果来得太快时先扣着，等「处理中」播够时间再顶上去
|
||||
function flushPending(card) {
|
||||
card.pendingTimer = null;
|
||||
const item = card.pendingItem;
|
||||
card.pendingItem = null;
|
||||
if (item && !card.closed) updateCardContent(card, item);
|
||||
}
|
||||
|
||||
function dismissCard(card) {
|
||||
// leaving 挡住重复调用：退场要跑 0.9 秒才真正从 cards 里摘掉，
|
||||
// 期间 trimCards 可能又点到同一张卡，没有这个标记就会反复触发、甚至死循环
|
||||
if (card.closed || card.leaving) return;
|
||||
card.leaving = true;
|
||||
clearCardTimers(card);
|
||||
if (card.pendingTimer) {
|
||||
clearTimeout(card.pendingTimer);
|
||||
card.pendingTimer = null;
|
||||
}
|
||||
card.pendingItem = null;
|
||||
|
||||
card.notif.classList.remove("bpi-expand");
|
||||
card.notif.classList.add("bpi-covering", "bpi-logo-visible");
|
||||
card.notif.style.maxHeight = `${card.initialH}px`;
|
||||
|
||||
// 退场：先收高度 + 上抹层刷上来（默认蓝、出错时紫红），420ms 后卡片右移；垫纸晚 85ms 跟上，
|
||||
// 最下面那张纸再晚 85ms，三层依次向右滑走 —— 紫红那张「和上抹层一样向右走，只不过在它后面」
|
||||
card.timers.push(setTimeout(() => {
|
||||
card.notif.classList.add("bpi-out");
|
||||
card.timers.push(setTimeout(() => {
|
||||
card.sheet.classList.add("bpi-wipe");
|
||||
card.timers.push(setTimeout(() => {
|
||||
card.under.classList.add("bpi-wipe");
|
||||
card.timers.push(setTimeout(() => {
|
||||
// 复位必须先关过渡：垫纸和底纸此刻停在屏幕右侧，直接摘类会让它一路斜着飞回入场起点
|
||||
card.sheet.style.transition = "none";
|
||||
card.sheet.classList.remove("bpi-show", "bpi-wipe");
|
||||
void card.sheet.offsetWidth;
|
||||
card.sheet.style.transition = "";
|
||||
card.under.style.transition = "none";
|
||||
card.under.classList.remove("bpi-show", "bpi-wipe");
|
||||
void card.under.offsetWidth;
|
||||
card.under.style.transition = "";
|
||||
card.notif.classList.remove("bpi-logo-visible");
|
||||
removeCard(card);
|
||||
}, 330));
|
||||
}, 85));
|
||||
}, 85));
|
||||
}, 420));
|
||||
}
|
||||
|
||||
// 让位动画（FLIP）：插入/移除卡片会让下面的卡片瞬间跳位，这里先把它们按原位置偏回去，
|
||||
// 再过渡到新位置，看着就是平滑地被挤下去 / 收上来
|
||||
function snapshotTops() {
|
||||
const tops = new Map();
|
||||
cards.forEach((card) => tops.set(card, card.slot.getBoundingClientRect().top));
|
||||
return tops;
|
||||
}
|
||||
|
||||
function nudgeStack(before) {
|
||||
before.forEach((top, card) => {
|
||||
if (card.leaving || card.closed) return;
|
||||
const delta = top - card.slot.getBoundingClientRect().top;
|
||||
if (!delta) return;
|
||||
card.slot.style.transition = "none";
|
||||
card.slot.style.transform = `translateY(${delta}px)`;
|
||||
void card.slot.offsetWidth;
|
||||
card.slot.style.transition = "transform .35s cubic-bezier(.16,1,.3,1)";
|
||||
card.slot.style.transform = "";
|
||||
});
|
||||
}
|
||||
|
||||
function removeCard(card) {
|
||||
if (card.closed) return;
|
||||
card.closed = true;
|
||||
clearCardTimers(card);
|
||||
const index = cards.indexOf(card);
|
||||
const before = snapshotTops();
|
||||
if (index >= 0) cards.splice(index, 1);
|
||||
card.slot.remove();
|
||||
nudgeStack(before);
|
||||
}
|
||||
|
||||
// 超过上限就把最旧的那条（在最下面）挤掉。正在退场的卡片不算数，也别重复点它
|
||||
function trimCards() {
|
||||
for (let index = cards.length - 1; index >= 0; index -= 1) {
|
||||
const alive = cards.filter((card) => !card.leaving).length;
|
||||
if (alive <= MAX_CARDS) return;
|
||||
dismissCard(cards[index]);
|
||||
}
|
||||
}
|
||||
|
||||
export function notify(message, kind = "", options = null) {
|
||||
if (!notifyEnabled() || !message) return false;
|
||||
injectStyles();
|
||||
ensureStack();
|
||||
const opts = options || {};
|
||||
const group = typeof opts.group === "string" ? opts.group : "";
|
||||
const hold = Number(opts.hold) > 0 ? Number(opts.hold) : 0;
|
||||
const fresh = opts.fresh === true;
|
||||
const item = { message, kind, group, hold: hold || (group ? REFRESH_HOLD_MS : 0) };
|
||||
// 正在退场的不算；fresh 会先让旧卡退场，所以每次都重新取一遍
|
||||
const alive = () => cards.filter((card) => !card.leaving);
|
||||
|
||||
// fresh：让同组的旧卡（批量翻译那张「处理中」进度卡）先退场，再开一张全新的报结果，
|
||||
// 避免「进度卡 + 汇总卡」并排挂着。没给 group 时退掉所有「处理中」卡。
|
||||
if (fresh) {
|
||||
alive()
|
||||
.filter((card) => (group ? card.item && card.item.group === group : card.sticky))
|
||||
.forEach((card) => dismissCard(card));
|
||||
}
|
||||
|
||||
// 有 group 的提示（连点重复胶囊等）：复用那张卡，换掉文字并把停留时间重新计一遍。
|
||||
// 没有 group 时才走「一模一样就忽略」的旧逻辑；fresh 一律另开新卡。
|
||||
if (!fresh) {
|
||||
if (group) {
|
||||
const groupCard = alive().find((card) => card.item && card.item.group === group && !card.sticky);
|
||||
if (groupCard) {
|
||||
updateCardContent(groupCard, item);
|
||||
return true;
|
||||
}
|
||||
} else if (alive().some((card) => sameItem(card.item, item))) {
|
||||
return true;
|
||||
}
|
||||
|
||||
// 有「处理中」挂着：结果去顶掉它，不另开一张卡
|
||||
const busyCard = alive().find((card) => card.sticky);
|
||||
if (busyCard) {
|
||||
const waited = Date.now() - busyCard.shownAt;
|
||||
if (waited < MIN_BUSY_MS) {
|
||||
busyCard.pendingItem = item;
|
||||
if (busyCard.pendingTimer) clearTimeout(busyCard.pendingTimer);
|
||||
busyCard.pendingTimer = setTimeout(() => flushPending(busyCard), MIN_BUSY_MS - waited);
|
||||
return true;
|
||||
}
|
||||
updateCardContent(busyCard, item);
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
const card = createCard();
|
||||
card.item = item;
|
||||
const before = snapshotTops();
|
||||
cards.unshift(card);
|
||||
// 插在最上面，已有的往下挤
|
||||
stack.insertBefore(card.slot, stack.firstChild);
|
||||
trimCards();
|
||||
// 先播（内部会量出真实高度并压回折叠高度），再让下面的卡片平滑让位：
|
||||
// 顺序反过来会因为「插入时的默认高度 → 量完的真实高度」抖两次
|
||||
playCard(card);
|
||||
nudgeStack(before);
|
||||
return true;
|
||||
}
|
||||
+133
-21
@@ -199,6 +199,18 @@ async function getAssistantConfig() {
|
||||
return result.data;
|
||||
}
|
||||
|
||||
// 拿表单当前填的地址和密钥问一次「你有哪些模型」；后端不读已保存的密钥，也不写配置
|
||||
async function listAssistantModels(payload) {
|
||||
const response = await bpiFetch(`${API_ROOT}/assistant/models`, {
|
||||
method: "POST",
|
||||
headers: { "Content-Type": "application/json" },
|
||||
body: JSON.stringify(payload),
|
||||
});
|
||||
const result = await response.json().catch(() => null);
|
||||
if (!response.ok || !result?.success) throw new Error(result?.error || "Failed to fetch models");
|
||||
return Array.isArray(result.data?.models) ? result.data.models : [];
|
||||
}
|
||||
|
||||
// 读 data/token_colors.json；用户可以不改源码只改这个文件管理节点标签卡的颜色池。
|
||||
// 文件不在或格式不对时后端回退内置默认，这里只管透传。
|
||||
let tokenColorsPromise = null;
|
||||
@@ -737,6 +749,12 @@ 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 +765,7 @@ 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 +795,9 @@ 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 +812,14 @@ 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 +828,7 @@ function buildCategoryPicker({ initial = "", categories = [] } = {}) {
|
||||
if (row.custom) {
|
||||
setCustom(true);
|
||||
} else {
|
||||
input.value = row.name;
|
||||
input.value = categoryName(row.name);
|
||||
setCustom(false);
|
||||
}
|
||||
closeMenu();
|
||||
@@ -818,7 +836,7 @@ 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 +878,13 @@ 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 +909,8 @@ 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 +1234,11 @@ 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;--bpi-hit-bg:#fbe49c;--bpi-hit-text:#7a5410}
|
||||
.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;--bpi-hit-bg:#5a4413;--bpi-hit-text:#ffe6a8}
|
||||
[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;--bpi-hit-bg:#5a4413;--bpi-hit-text:#ffe6a8}
|
||||
[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-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}
|
||||
: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-drag-row-bar:#45926f;--bpi-drag-row-bg:#d6efe4;--bpi-drag-row-text:#0f4d3a;--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-drag-row-bar:#5ec9a3;--bpi-drag-row-bg:rgba(63,143,119,.30);--bpi-drag-row-text:#eafff7;--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-drag-row-bar:#5ec9a3;--bpi-drag-row-bg:rgba(63,143,119,.30);--bpi-drag-row-text:#eafff7;--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-drag-row-bar:#45926f;--bpi-drag-row-bg:#d6efe4;--bpi-drag-row-text:#0f4d3a;--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}
|
||||
@@ -1240,7 +1260,17 @@ function injectBpiStyles() {
|
||||
.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}
|
||||
.bpi-row.bpi-dragging,.bpi-english-token.bpi-dragging{opacity:.45}.bpi-english-token.bpi-dragging{cursor:grabbing}
|
||||
/* 拖动中：明细表不用淡化（降透明度会把字看糊），改成左侧实心色条 + 高亮底 +
|
||||
亮色文字，一眼看得出「就是这一行在被拖」。节点那边只留抬起阴影，不加底色 */
|
||||
.bpi-row.bpi-dragging{background-color:var(--bpi-drag-row-bg);background-image:none;box-shadow:inset 3px 0 0 0 var(--bpi-drag-row-bar);outline:1px solid var(--bpi-drag-row-bar);outline-offset:-1px}
|
||||
.bpi-row.bpi-dragging .bpi-cell{color:var(--bpi-drag-row-text)}
|
||||
.bpi-row.bpi-dragging .bpi-drag-handle,.bpi-row.bpi-dragging .bpi-hide-btn{color:var(--bpi-drag-row-text)}
|
||||
.bpi-english-token.bpi-dragging{opacity:.45;cursor:grabbing}
|
||||
/* 拖动实时预览：被拖的那一项复制成 .bpi-drag-float 挂到 body 上跟着光标走，
|
||||
原来的位置由 bpi-drag-source 占位（透明但仍参与命中测试，所以鼠标停在空位上
|
||||
算「停在自己身上」，不会把落点算到别处去） */
|
||||
.bpi-drag-source{opacity:0!important}
|
||||
.bpi-drag-float{box-shadow:0 10px 26px rgba(0,0,0,.4);transition:transform .09s linear;cursor:grabbing;will-change:transform}
|
||||
.bpi-drop-indicator{position:absolute;left:3px;right:3px;height:0;border-top:2px solid #76c9ff;box-shadow:0 0 5px rgba(118,201,255,.55);z-index:3;pointer-events:none}
|
||||
.bpi-break-row{display:flex;align-items:center;gap:8px;border-top:1px solid var(--bpi-border-3);background:var(--bpi-break-bg);color:var(--bpi-break-text);padding:6px 10px;cursor:default}
|
||||
.bpi-row.bpi-break-row:hover{background-color:var(--bpi-break-bg-hover);background-image:none;outline:0;color:#fff}
|
||||
@@ -1260,7 +1290,34 @@ function injectBpiStyles() {
|
||||
.bpi-hidden-term{text-decoration:line-through;color:var(--bpi-text-faint)}
|
||||
.bpi-hide-btn-off{color:var(--bpi-badge-warn)}
|
||||
.bpi-eye-off{color:var(--bpi-badge-warn)}
|
||||
.bpi-chip-hide{position:absolute;top:2px;right:3px;display:none;cursor:pointer;padding:1px 2px;border-radius:999px;background:var(--bpi-chip-hide-bg);border:1px solid var(--bpi-border-2);color:var(--bpi-link-text);line-height:1;z-index:2}.bpi-token-card:hover .bpi-chip-hide{display:inline-flex}.bpi-chip-hide:hover{background:var(--bpi-primary-bg);border-color:var(--bpi-primary-border);color:#fff}
|
||||
.bpi-chip-hide{position:absolute;bottom:2px;right:3px;display:none;cursor:pointer;padding:1px 2px;border-radius:999px;background:var(--bpi-chip-hide-bg);border:1px solid var(--bpi-border-2);color:var(--bpi-link-text);line-height:1;z-index:2}.bpi-token-card:hover .bpi-chip-hide{display:inline-flex}.bpi-chip-hide:hover{background:var(--bpi-primary-bg);border-color:var(--bpi-primary-border);color:#fff}
|
||||
/* 删除的 × 是选中那张卡的右上角角标，和左上角的眼睛对称；不再跟英文标签挤在一行 */
|
||||
.bpi-mirror-delete{position:absolute;top:2px;right:3px;cursor:pointer;padding:1px 3px;border-radius:999px;background:var(--bpi-chip-hide-bg);border:1px solid var(--bpi-border-2);color:var(--bpi-text-muted);font-size:11px;line-height:1;z-index:2}
|
||||
.bpi-mirror-delete:hover{color:var(--bpi-status-error);border-color:var(--bpi-status-error)}
|
||||
/* 删除标签的消失动画（设置里开关，默认关）：X 从四角向心长出 → 颜色从中心铺满
|
||||
→ 上下压两条灰边 → 整块从左往右擦掉。只加在正在删的那张卡上，别的卡不受影响 */
|
||||
.bpi-token-card.bpi-deleting{--bpi-del-color:#a78bfa;--bpi-del-bar-color:#5a5a5a;overflow:hidden;pointer-events:none;clip-path:inset(0 0 0 0 round 5px);transition:clip-path .35s cubic-bezier(.4,0,.2,1)}
|
||||
.bpi-token-card.bpi-deleting.bpi-del-wipe{clip-path:inset(0 0 0 100% round 5px)}
|
||||
.bpi-del-stage{position:absolute;inset:0;pointer-events:none}
|
||||
.bpi-del-half{position:absolute;width:var(--bpi-del-len,60px);height:2px;background-color:var(--bpi-del-color);transition:transform .16s cubic-bezier(.4,0,.2,1),height .4s cubic-bezier(.4,0,.2,1)}
|
||||
.bpi-del-half-a1{left:0;top:0;transform-origin:0 0;transform:rotate(var(--bpi-del-angle,30deg)) scaleX(0)}
|
||||
.bpi-del-half-a2{right:0;bottom:0;transform-origin:100% 100%;transform:rotate(var(--bpi-del-angle,30deg)) scaleX(0)}
|
||||
.bpi-del-half-b1{right:0;top:0;transform-origin:100% 0;transform:rotate(calc(-1 * var(--bpi-del-angle,30deg))) scaleX(0)}
|
||||
.bpi-del-half-b2{left:0;bottom:0;transform-origin:0 100%;transform:rotate(calc(-1 * var(--bpi-del-angle,30deg))) scaleX(0)}
|
||||
.bpi-token-card.bpi-del-grow .bpi-del-half-a1{transform:rotate(var(--bpi-del-angle,30deg)) scaleX(1)}
|
||||
.bpi-token-card.bpi-del-grow .bpi-del-half-a2{transform:rotate(var(--bpi-del-angle,30deg)) scaleX(1)}
|
||||
.bpi-token-card.bpi-del-grow .bpi-del-half-b1{transform:rotate(calc(-1 * var(--bpi-del-angle,30deg))) scaleX(1)}
|
||||
.bpi-token-card.bpi-del-grow .bpi-del-half-b2{transform:rotate(calc(-1 * var(--bpi-del-angle,30deg))) scaleX(1)}
|
||||
.bpi-token-card.bpi-del-spread .bpi-del-half{height:var(--bpi-del-fill,60px)}
|
||||
.bpi-del-cover{position:absolute;inset:0;background-color:var(--bpi-del-color);clip-path:inset(50% 50% 50% 50%);transition:clip-path .4s cubic-bezier(.4,0,.2,1);z-index:3}
|
||||
.bpi-token-card.bpi-del-spread .bpi-del-cover{clip-path:inset(0 0 0 0)}
|
||||
.bpi-del-bar{position:absolute;left:0;right:0;height:0;background-color:var(--bpi-del-bar-color);transition:height .1s ease;z-index:5}
|
||||
.bpi-del-bar-top{top:0}.bpi-del-bar-bottom{bottom:0}
|
||||
.bpi-token-card.bpi-del-wipe .bpi-del-bar{height:var(--bpi-del-bar-h,10px)}
|
||||
/* 添加标签的出场动画：新卡片从左往右展开，旁边的卡片由 FLIP 滑开让位。
|
||||
带宽高一起淡入，纯靠 clip-path 硬揭开会显得突然 */
|
||||
@keyframes bpi-card-insert{from{clip-path:inset(0 100% 0 0 round 5px);opacity:.45}to{clip-path:inset(0 0 0 0 round 5px);opacity:1}}
|
||||
.bpi-token-card.bpi-inserting{animation:bpi-card-insert .42s cubic-bezier(.32,.72,.28,1)}
|
||||
.bpi-token-line{display:flex;flex-wrap:wrap;align-items:flex-end;gap:2px 0}
|
||||
.bpi-token-card{position:relative;display:inline-flex;flex-direction:column;align-items:flex-start;max-width:100%;border:1px solid var(--bpi-border-3);border-radius:5px;background:var(--bpi-surface-3);padding:1px 5px;margin:2px 3px 2px 0;vertical-align:top;cursor:pointer}
|
||||
.bpi-token-card:hover{border-color:var(--bpi-border-2)}
|
||||
@@ -1270,6 +1327,11 @@ function injectBpiStyles() {
|
||||
.bpi-token-card.bpi-card-linked .bpi-token-card-zh{color:#fff}
|
||||
.bpi-token-card.bpi-card-linked .bpi-english-token{background:transparent;border-color:transparent;box-shadow:none;color:#fff}
|
||||
.bpi-token-card-zh{min-height:15px;max-width:200px;overflow:hidden;text-overflow:ellipsis;white-space:nowrap;color:var(--bpi-text-muted);font:11px/1.35 Arial,sans-serif}
|
||||
/* 落点提示画在整张卡片上（英文行 + 中文小块一起亮）。必须排在
|
||||
.bpi-card-linked 之后：两条规则特异度相同，靠后定义的才盖得住选中态
|
||||
自己的 box-shadow，否则拖到已选中的卡片上看不出插入位置 */
|
||||
.bpi-token-card.bpi-drop-before{box-shadow:-3px 0 0 0 #76c9ff,0 0 6px rgba(118,201,255,.45)}
|
||||
.bpi-token-card.bpi-drop-after{box-shadow:3px 0 0 0 #76c9ff,0 0 6px rgba(118,201,255,.45)}
|
||||
.bpi-category-content{display:flex;flex-wrap:wrap;gap:2px 3px}
|
||||
.bpi-break-chip{position:relative;display:inline-flex;align-items:center;gap:3px;border:1px dashed var(--bpi-break-border);border-radius:5px;background:var(--bpi-break-bg);color:var(--bpi-break-text);padding:0 5px;margin:1px 0;cursor:grab;user-select:none;font-family:Consolas,monospace}
|
||||
.bpi-break-chip:hover,.bpi-break-chip.bpi-drop-target{background:var(--bpi-break-bg-hover);border-color:var(--bpi-break-text);color:#fff}
|
||||
@@ -1322,7 +1384,7 @@ 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)}
|
||||
@@ -1332,8 +1394,14 @@ 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)}
|
||||
@@ -1369,6 +1437,13 @@ 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)}
|
||||
/* 「获取模型」：输入框照旧独占一行宽度，按钮挤在右边不换行 */
|
||||
.bpi-model-line{display:flex;gap:6px;align-items:stretch;min-width:0}
|
||||
.bpi-model-line input{flex:1 1 auto;min-width:0}
|
||||
.bpi-model-line .bpi-button{flex:none;white-space:nowrap;background-color:var(--bpm-accent);border-color:var(--bpm-accent-border);color:#fff}
|
||||
.bpi-model-line .bpi-button:hover{background-color:var(--bpm-accent-hover);border-color:var(--bpm-accent-border);color:#fff}
|
||||
.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}
|
||||
@@ -1391,8 +1466,44 @@ 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}
|
||||
/* 设置面板每一项 = 名称列 + 控件列，名称列宽度跟着名字长短走：插件这两项一个叫
|
||||
「通用」一个叫「助手设置」，字数不同，右边的内容就被推得差了一格。
|
||||
让名称列不占位、控件列占满，两块都从最左边开始，标题由各自的 h3 显示。
|
||||
只在「我们的块不在第一列」时才生效，结构对不上时不会把内容自己藏掉。 */
|
||||
*:has(> :not(:first-child) > .bpi-settings-form){align-items:flex-start}
|
||||
*:has(> :not(:first-child) > .bpi-settings-form) > :first-child{display:none}
|
||||
*:has(> :not(:first-child) > .bpi-settings-form) > :not(:first-child){flex:1 1 0%;min-width:0;justify-content:flex-start}
|
||||
/* ComfyUI 给控件列自带 justify-end：宽度一占满就会把内容推到最右，这里改回靠左 */
|
||||
*:has(> .bpi-settings-form){flex:1 1 0%;min-width:0}
|
||||
/* 设置面板里的可展开分组：直接用原生 details，三角自己画，展开状态由 open 属性管 */
|
||||
.bpi-fold{grid-column:1 / -1;margin-top:8px;border:1px solid var(--bpi-border-2);border-radius:6px}
|
||||
.bpi-fold>summary{display:flex;align-items:center;gap:6px;padding:7px 10px;font-size:12px;font-weight:600;color:var(--bpi-text);cursor:pointer;list-style:none;user-select:none}
|
||||
.bpi-fold>summary::-webkit-details-marker{display:none}
|
||||
.bpi-fold>summary::before{flex:none;content:"";width:0;height:0;border-left:5px solid var(--bpi-text-muted);border-top:4px solid transparent;border-bottom:4px solid transparent;transition:transform .15s ease}
|
||||
.bpi-fold[open]>summary::before{transform:rotate(90deg)}
|
||||
.bpi-fold>summary:hover{background-image:linear-gradient(var(--bpi-row-hover-overlay),var(--bpi-row-hover-overlay))}
|
||||
.bpi-fold-body{padding:8px 10px 10px;border-top:1px solid var(--bpi-border-3);display:flex;flex-direction:column;gap:8px}
|
||||
.bpi-fold-note{font-size:10px;color:var(--bpi-text-faint)}
|
||||
.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}
|
||||
@@ -1450,6 +1561,7 @@ export {
|
||||
importTags,
|
||||
bulkUpdateTags,
|
||||
injectBpiStyles,
|
||||
listAssistantModels,
|
||||
listModelNames,
|
||||
listSavedPrompts,
|
||||
loadDictionary,
|
||||
|
||||
+260
@@ -0,0 +1,260 @@
|
||||
// 右下角贴边堆叠 Toast（临时提示）
|
||||
// 模板原件：.workbuddy/refs/toast-template.html —— 动画、贴边造型、堆叠与防卡死写法照搬。
|
||||
// 和右上角那套 js/bpi_notify.js 是两套，互不干扰：那边是双层纸 + 从上往下 + 展开正文，
|
||||
// 这边是贴着右下角长出来、强调色遮罩从左往右刷过、整条向右滑走。
|
||||
|
||||
import { t } from "./i18n.js";
|
||||
|
||||
const STYLE_ID = "bpi-toast-style";
|
||||
// 和右上角那套一样，开关只存本地：这是表现层的事，不进后端 assistant_settings
|
||||
const STORAGE_KEY = "bpi.toast.v1";
|
||||
|
||||
// 默认开：逐条提示本来就在用，关掉才会退回状态栏
|
||||
export function toastEnabled() {
|
||||
try {
|
||||
return window.localStorage.getItem(STORAGE_KEY) !== "0";
|
||||
} catch (error) {
|
||||
return true;
|
||||
}
|
||||
}
|
||||
|
||||
export function setToastEnabled(next) {
|
||||
try {
|
||||
window.localStorage.setItem(STORAGE_KEY, next ? "1" : "0");
|
||||
} catch (error) {
|
||||
/* 隐私模式下写不进去就算了，本次会话内仍按传入值生效 */
|
||||
}
|
||||
}
|
||||
|
||||
// JS 与 CSS 必须同步：COVER_DURATION 是 .bpi-toast-cover 的时长，SLIDE_DURATION 是 .is-out 的时长
|
||||
const MAX_VISIBLE = 5;
|
||||
const AUTO_DISMISS = 3000;
|
||||
const COVER_DURATION = 180;
|
||||
const SLIDE_DURATION = 320;
|
||||
const REMOVE_DELAY = SLIDE_DURATION + 40;
|
||||
|
||||
// 同一车道（lane）最多同时挂几条：满了就顶掉最旧的一条。
|
||||
// 车道是给「一批同类消息排队」准备的（试过给批量翻译用，已撤），目前没人传 lane
|
||||
const LANE_MAX = 3;
|
||||
// 被顶掉之前至少要显示这么久，免得结果来得太快、字还没看清就被刷走
|
||||
const LANE_MIN_HOLD = 1200;
|
||||
|
||||
// 一个操作一类色，别都挤在蓝里：
|
||||
// 蓝 = 改内容（应用改写 / 权重 / 隐藏恢复 / 词条保存）、紫 = 插入、红 = 删除、
|
||||
// 青 = 移动、灰 = 撤销重做、绿 = 翻译成功、橙 = 重复开关
|
||||
export const TOAST_ACCENTS = {
|
||||
edit: "#60a5fa",
|
||||
insert: "#a78bfa",
|
||||
remove: "#e06c75",
|
||||
move: "#22d3ee",
|
||||
history: "#94a3b8",
|
||||
translate: "#34d399",
|
||||
duplicate: "#fbbf24",
|
||||
};
|
||||
|
||||
// 图标是塞进 24×24 viewBox 的内联 SVG 片段，颜色靠 currentColor 吃 --bpi-toast-accent
|
||||
const ICONS = {
|
||||
duplicate:
|
||||
'<rect x="9" y="9" width="13" height="13" rx="2"/><path d="M5 15H4a2 2 0 0 1-2-2V4a2 2 0 0 1 2-2h9a2 2 0 0 1 2 2v1"/>',
|
||||
translate:
|
||||
'<path d="M5 8L10 13M4 14L10 8L12 5M2 5H14M7 2H8M12.913 17H20.087M12.913 17L11 21M12.913 17L15.7783 11.009C16.0092 10.5263 16.1246 10.2849 16.2826 10.2086C16.4199 10.1423 16.5801 10.1423 16.7174 10.2086C16.8754 10.2849 16.9908 10.5263 17.2217 11.009L20.087 17M20.087 17L22 21"/>',
|
||||
notice: '<circle cx="12" cy="12" r="9"/><path d="M12 8v5M12 16h.01"/>',
|
||||
edit: '<path d="M12 20h9"/><path d="M16.5 3.5a2.121 2.121 0 1 1 3 3L7 19l-4 1 1-4 12.5-12.5z"/>',
|
||||
insert: '<path d="M12 5v14M5 12h14"/>',
|
||||
remove: '<path d="M4 7h16M9 7V4h6v3"/><path d="M6 7l1 13h10l1-13"/>',
|
||||
move: '<path d="M4 12h16"/><path d="M8 8l-4 4 4 4M16 8l4 4-4 4"/>',
|
||||
history: '<path d="M3.5 12a8.5 8.5 0 1 1 2.6 6.1"/><path d="M3 5v5h5"/><path d="M12 8v4l3 2"/>',
|
||||
};
|
||||
|
||||
const CLOSE_SVG =
|
||||
'<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.4" stroke-linecap="round"><path d="M6 6l12 12M18 6L6 18"/></svg>';
|
||||
|
||||
// 强调线（::before）、图标、抹开遮罩三处共用这一个变量
|
||||
const CSS = `
|
||||
.bpi-toast-stack{position:fixed;right:0;bottom:0;width:340px;max-width:calc(100vw - 28px);display:flex;flex-direction:column-reverse;gap:10px;z-index:9999;pointer-events:none}
|
||||
/* 亮色下不用那么重的黑影 */
|
||||
[data-bpi-theme="light"] .bpi-toast-stack{--bpi-toast-shadow:0 10px 26px rgba(0,0,0,.14),0 2px 6px rgba(0,0,0,.10)}
|
||||
.bpi-toast{position:relative;display:flex;align-items:center;gap:10px;padding:13px 16px;background:var(--bpi-surface-modal,#20252d);border:1px solid var(--bpi-border,#3a4250);border-right:0;border-radius:8px 0 0 8px;box-shadow:var(--bpi-toast-shadow,0 10px 30px rgba(0,0,0,.5),0 2px 6px rgba(0,0,0,.3));font-size:13px;line-height:1.45;color:var(--bpi-text,#e6edf7);pointer-events:auto;overflow:hidden;opacity:0;transform:translateX(100%);transition:transform .45s cubic-bezier(.16,1,.3,1),opacity .35s ease;will-change:transform,opacity}
|
||||
.bpi-toast.is-in{opacity:1;transform:translateX(0)}
|
||||
/* 位置被上下顶动时的平滑位移；必须写在 .is-out 之前，退场那条要能盖过它 */
|
||||
.bpi-toast.bpi-flip{transition:transform .35s cubic-bezier(.16,1,.3,1)}
|
||||
/* 退场全程不透明：淡出会让人觉得是「直接消失」 */
|
||||
.bpi-toast.is-out{opacity:1;transform:translateX(100%);transition:transform .32s cubic-bezier(.55,0,.8,.4)}
|
||||
.bpi-toast::before{content:"";position:absolute;left:0;top:0;bottom:0;width:3px;border-radius:8px 0 0 8px;background:var(--bpi-toast-accent,#fbbf24);z-index:1}
|
||||
.bpi-toast-cover{position:absolute;inset:0;border-radius:8px 0 0 8px;background:var(--bpi-toast-accent,#fbbf24);transform:translateX(-101%);transition:transform .18s cubic-bezier(.45,0,.2,1);z-index:5;pointer-events:none;will-change:transform}
|
||||
.bpi-toast.is-covering .bpi-toast-cover{transform:translateX(0)}
|
||||
.bpi-toast-icon{flex:0 0 20px;width:20px;height:20px;display:grid;place-items:center;color:var(--bpi-toast-accent,#fbbf24);position:relative;z-index:2}
|
||||
.bpi-toast-text{flex:1;min-width:0;word-break:break-word;position:relative;z-index:2}
|
||||
.bpi-toast-close{flex:0 0 20px;width:20px;height:20px;display:grid;place-items:center;padding:0;border:0;border-radius:4px;background:transparent;color:var(--bpi-text-muted,#aab5c5);cursor:pointer;position:relative;z-index:6;transition:background .15s ease,color .15s ease}
|
||||
.bpi-toast-close:hover{background:var(--bpi-handle-hover-bg,#2b3a4d);color:var(--bpi-text,#e6edf7)}
|
||||
@media (prefers-reduced-motion: reduce){
|
||||
.bpi-toast,.bpi-toast-cover{transition-duration:.01ms !important}
|
||||
}
|
||||
`;
|
||||
|
||||
let stack = null;
|
||||
|
||||
function injectStyle() {
|
||||
if (document.getElementById(STYLE_ID)) return;
|
||||
const style = document.createElement("style");
|
||||
style.id = STYLE_ID;
|
||||
style.textContent = CSS;
|
||||
document.head.appendChild(style);
|
||||
}
|
||||
|
||||
function ensureStack() {
|
||||
if (stack && stack.isConnected) return stack;
|
||||
injectStyle();
|
||||
stack = document.createElement("div");
|
||||
stack.className = "bpi-toast-stack";
|
||||
document.body.appendChild(stack);
|
||||
return stack;
|
||||
}
|
||||
|
||||
// FLIP：记下每条当前的位置，等布局变了再让它们从旧位置滑到新位置，避免「闪现」
|
||||
function snapshotTops(host, skip) {
|
||||
const tops = new Map();
|
||||
Array.from(host.children).forEach((el) => {
|
||||
if (el !== skip) tops.set(el, el.getBoundingClientRect().top);
|
||||
});
|
||||
return tops;
|
||||
}
|
||||
|
||||
function reflow(host, tops) {
|
||||
tops.forEach((top, el) => {
|
||||
// 只挪已经入场、又没在退场的：正在入场/退场的动自己的动画，别插手
|
||||
if (!el.isConnected || el._dismissed || !el.classList.contains("is-in")) return;
|
||||
const delta = top - el.getBoundingClientRect().top;
|
||||
if (!delta) return;
|
||||
el.style.transition = "none";
|
||||
el.style.transform = `translateY(${delta}px)`;
|
||||
void el.offsetWidth;
|
||||
// 关键：必须把内联的 transition:none 交回 CSS，否则它一直压着 .is-out 的过渡，
|
||||
// 这条之后退场就会「动画没播完直接消失」
|
||||
el.style.transition = "";
|
||||
el.classList.add("bpi-flip");
|
||||
el.style.transform = "";
|
||||
setTimeout(() => el.classList.remove("bpi-flip"), 380);
|
||||
});
|
||||
}
|
||||
|
||||
// 移除一条时让剩下的平滑补位
|
||||
function dropEl(host, el) {
|
||||
const tops = snapshotTops(host, el);
|
||||
el.remove();
|
||||
reflow(host, tops);
|
||||
}
|
||||
|
||||
function dismiss(el, immediate = false) {
|
||||
if (!el) return;
|
||||
|
||||
// 被顶走的分支必须排在最前面并无条件移除：
|
||||
// 先判 _dismissed 的话，正在等动画的那条会一直留在 DOM 里，while 循环反复拿到它 → 卡死
|
||||
if (immediate) {
|
||||
el._dismissed = true;
|
||||
clearTimeout(el._timer);
|
||||
dropEl(el.parentNode, el);
|
||||
return;
|
||||
}
|
||||
|
||||
if (el._dismissed) return;
|
||||
el._dismissed = true;
|
||||
clearTimeout(el._timer);
|
||||
// 补位动画可能还挂着，退场前先摘掉，别让它抢 .is-out 的过渡
|
||||
el.classList.remove("bpi-flip");
|
||||
el.style.transform = "";
|
||||
el.style.transition = "";
|
||||
|
||||
el.classList.add("is-covering");
|
||||
|
||||
setTimeout(() => {
|
||||
if (!el.isConnected) return;
|
||||
el.classList.add("is-out");
|
||||
setTimeout(() => {
|
||||
if (el.isConnected) dropEl(el.parentNode, el);
|
||||
}, REMOVE_DELAY);
|
||||
}, COVER_DURATION);
|
||||
}
|
||||
|
||||
// 车道内还活着（没被标记退场）的条目，顺序是 新 → 旧
|
||||
function laneAlive(host, lane) {
|
||||
return Array.from(host.children).filter((el) => el._lane === lane && !el._dismissed);
|
||||
}
|
||||
|
||||
// 只多一条时给足停留时间；积压多了就立刻收，不然会越堆越高
|
||||
function trimLane(host, lane) {
|
||||
const alive = laneAlive(host, lane);
|
||||
const excess = alive.length - LANE_MAX;
|
||||
for (let i = 0; i < excess; i += 1) {
|
||||
const victim = alive[alive.length - 1 - i];
|
||||
if (!victim) break;
|
||||
const wait = Math.max(0, LANE_MIN_HOLD - (Date.now() - victim._shownAt));
|
||||
if (!wait || i > 0) {
|
||||
dismiss(victim);
|
||||
continue;
|
||||
}
|
||||
setTimeout(() => {
|
||||
if (victim.isConnected && !victim._dismissed) dismiss(victim);
|
||||
}, wait);
|
||||
}
|
||||
}
|
||||
|
||||
// message 走 t()；type 决定强调色与图标，也可以直接传 accent / icon 覆盖。
|
||||
// lane 相同的一批会共用 3 个位置：新的从最下面长出来，最旧的从上面被顶走。
|
||||
export function showToast(message, options = {}) {
|
||||
// 关掉时直接不建 DOM：调用方自己退回状态栏（返回 false 就是告诉它「我没显示」）
|
||||
if (!toastEnabled()) return false;
|
||||
const host = ensureStack();
|
||||
const type = options.type || "";
|
||||
const accent = options.accent || TOAST_ACCENTS[type] || TOAST_ACCENTS.duplicate;
|
||||
const markup = options.icon || ICONS[type] || ICONS.notice;
|
||||
|
||||
const el = document.createElement("div");
|
||||
el.className = "bpi-toast";
|
||||
el.style.setProperty("--bpi-toast-accent", accent);
|
||||
|
||||
const cover = document.createElement("div");
|
||||
cover.className = "bpi-toast-cover";
|
||||
|
||||
const icon = document.createElement("span");
|
||||
icon.className = "bpi-toast-icon";
|
||||
icon.innerHTML =
|
||||
`<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor"` +
|
||||
` stroke-width="2" stroke-linecap="round" stroke-linejoin="round">${markup}</svg>`;
|
||||
|
||||
const text = document.createElement("span");
|
||||
text.className = "bpi-toast-text";
|
||||
text.textContent = t(message);
|
||||
|
||||
const close = document.createElement("button");
|
||||
close.className = "bpi-toast-close";
|
||||
close.type = "button";
|
||||
close.title = t("Close");
|
||||
close.setAttribute("aria-label", t("Close"));
|
||||
close.innerHTML = CLOSE_SVG;
|
||||
|
||||
el.append(cover, icon, text, close);
|
||||
|
||||
el._lane = options.lane || "";
|
||||
el._shownAt = Date.now();
|
||||
|
||||
// column-reverse 的主轴起点在下方，插到最前面 = 视觉最下面；旧的自然往上顶
|
||||
const before = snapshotTops(host, null);
|
||||
host.insertBefore(el, host.firstChild);
|
||||
|
||||
// 全局上限：超了取 DOM 最后一条（视觉最上面、最旧的那条）直接移除，不播动画
|
||||
while (host.children.length > MAX_VISIBLE) {
|
||||
dismiss(host.lastElementChild, true);
|
||||
}
|
||||
if (el._lane) trimLane(host, el._lane);
|
||||
reflow(host, before);
|
||||
|
||||
// 双 rAF：确保初始样式（translateX(100%)）已经渲染过一帧，否则过渡不会触发
|
||||
requestAnimationFrame(() => requestAnimationFrame(() => {
|
||||
if (el.isConnected) el.classList.add("is-in");
|
||||
}));
|
||||
|
||||
close.addEventListener("click", () => dismiss(el));
|
||||
el._timer = setTimeout(() => dismiss(el), AUTO_DISMISS);
|
||||
return el;
|
||||
}
|
||||
@@ -13,7 +13,9 @@ function injectStyles() {
|
||||
const style = document.createElement("style");
|
||||
style.id = STYLE_ID;
|
||||
style.textContent = [
|
||||
".bpi-dup-pill{display:inline-flex;align-items:center;gap:6px;padding:3px 10px;border-radius:999px;font-size:12px;line-height:1.5;max-width:100%;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}",
|
||||
// holder 才是交给画布的 widget 元素：节点拖大时它被拉伸，胶囊自己锁死高度不跟着变
|
||||
`.bpi-dup-holder{display:flex;align-items:center;justify-content:flex-start;width:100%;min-height:${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:${PILL_HEIGHT}px;box-sizing:border-box;flex:none;max-width:100%;white-space:nowrap;overflow:hidden;text-overflow:ellipsis}`,
|
||||
".bpi-dup-pill .bpi-dup-dot{width:7px;height:7px;border-radius:50%;flex:none}",
|
||||
".bpi-dup-pill .bpi-dup-text{overflow:hidden;text-overflow:ellipsis}",
|
||||
".bpi-dup-pill.bpi-dup-warn{background:rgba(214,158,46,.18);color:#8a5a00}",
|
||||
@@ -117,6 +119,8 @@ app.registerExtension({
|
||||
const toggle = this.widgets?.find((widget) => widget.name === "keep_first");
|
||||
if (toggle) toggle.label = "只保留第一个";
|
||||
if (this.inputs?.[0]) this.inputs[0].label = "提示词";
|
||||
const holder = document.createElement("div");
|
||||
holder.className = "bpi-dup-holder";
|
||||
const pill = document.createElement("div");
|
||||
pill.className = "bpi-dup-pill bpi-dup-idle";
|
||||
const dot = document.createElement("span");
|
||||
@@ -124,9 +128,10 @@ app.registerExtension({
|
||||
const textNode = document.createElement("span");
|
||||
textNode.className = "bpi-dup-text";
|
||||
pill.append(dot, textNode);
|
||||
holder.append(pill);
|
||||
this._duplicateCheck = { pill, dot, textNode, count: 0, connected: false };
|
||||
try {
|
||||
this.addDOMWidget("bpi_duplicate_status", "bpi-duplicate-status", pill, {
|
||||
this.addDOMWidget("bpi_duplicate_status", "bpi-duplicate-status", holder, {
|
||||
getMinHeight: () => PILL_HEIGHT,
|
||||
getMaxHeight: () => PILL_HEIGHT,
|
||||
hideOnZoom: false,
|
||||
|
||||
+81
-46
@@ -7,7 +7,7 @@
|
||||
// · 运行时按英文原文查中文表，查不到就原样显示英文 —— 缺翻译只会退回英文，不会出现空文案
|
||||
// · 「跟随 ComfyUI」读 ComfyUI 的 Comfy.Locale 设置，中文系语言走中文，其余走英文
|
||||
//
|
||||
// 带变量的文案（例如 `deleted “${term}”; press Ctrl+Z to undo`）没法直接整句做键，
|
||||
// 带变量的文案（例如 `deleted “${term}”`）没法直接整句做键，
|
||||
// 这里把「“...”」和数字统一折叠成 {} 再查表，命中后按出现顺序回填。
|
||||
|
||||
const STORAGE_KEY = "bpi.language.v1";
|
||||
@@ -103,7 +103,10 @@ 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",
|
||||
@@ -115,7 +118,6 @@ const ZH = {
|
||||
"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",
|
||||
@@ -128,8 +130,8 @@ const ZH = {
|
||||
"输入时保持文本编辑；失焦或点「完成」后切回标签视图",
|
||||
"Switch between the English text editor and the linked tag view":
|
||||
"在英文文本编辑框与联动标签视图之间切换",
|
||||
"Requires a second click to clear the actual English output; after clearing, click the same button or press Ctrl+Z to undo":
|
||||
"需要再点一次才会清空英文实际输出；清空后点同一个按钮或按 Ctrl+Z 可撤销",
|
||||
"Requires a second click to clear the actual English output; after clearing, click the same button to undo":
|
||||
"需要再点一次才会清空英文实际输出；清空后点同一个按钮撤销",
|
||||
"Save the current English prompt to favorites in the user directory (a reference image can be attached)":
|
||||
"把当前英文提示词保存到用户目录的收藏里（可附带参考图）",
|
||||
"Hidden tags will not enter the actual output": "隐藏的标签不会进入实际输出",
|
||||
@@ -177,8 +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”":
|
||||
@@ -193,18 +193,17 @@ const ZH = {
|
||||
"Only optimizes existing English; does not translate": "只优化已有英文，不做翻译",
|
||||
"press Anima stable sort by recommended categories, one row per non-empty category; natural language and BREAK/AND kept intact":
|
||||
"按 Anima 推荐分类做稳定排序，每个非空分类一行；自然语言与 BREAK/AND 原样保留",
|
||||
"Drag to reorder tags; or select then press Alt+↑/↓ to nudge; Ctrl+Z to undo":
|
||||
"拖动可调整标签顺序；或选中后按 Alt+↑/↓ 微调；Ctrl+Z 撤销",
|
||||
"applied {}; press Ctrl+Z to undo": "已应用 {}；按 Ctrl+Z 可撤销",
|
||||
"deleted {}; press Ctrl+Z to undo": "已删除「{}」；按 Ctrl+Z 可撤销",
|
||||
"{}; press Ctrl+Z to undo": "{}；按 Ctrl+Z 可撤销",
|
||||
"moved {}; press Ctrl+Z to undo": "已移动「{}」；按 Ctrl+Z 可撤销",
|
||||
"rewrote {}; press Ctrl+Z to undo": "已改写「{}」；按 Ctrl+Z 可撤销",
|
||||
"rewrote {} tags; press Ctrl+Z to undo": "已改写 {} 个标签；按 Ctrl+Z 可撤销",
|
||||
"hidden {} (excluded from actual output); can be restored anytime in the hidden section; press Ctrl+Z to undo":
|
||||
"已隐藏「{}」（不计入实际输出）；随时可在隐藏区恢复；按 Ctrl+Z 可撤销",
|
||||
"restored {} to its original position; press Ctrl+Z to undo": "已把「{}」恢复到原位置；按 Ctrl+Z 可撤销",
|
||||
"restored {} hidden tags; press Ctrl+Z to undo": "已恢复 {} 个隐藏标签；按 Ctrl+Z 可撤销",
|
||||
"Drag to reorder tags; or select then press Alt+↑/↓ to nudge":
|
||||
"拖动可调整标签顺序；或选中后按 Alt+↑/↓ 微调",
|
||||
"applied {}": "已应用 {}",
|
||||
"deleted {}": "已删除「{}」",
|
||||
"moved {}": "已移动「{}」",
|
||||
"rewrote {}": "已改写「{}」",
|
||||
"rewrote {} tags": "已改写 {} 个标签",
|
||||
"hidden {} (excluded from actual output); can be restored anytime in the hidden section":
|
||||
"已隐藏「{}」（不计入实际输出）；随时可在隐藏区恢复",
|
||||
"restored {} to its original position": "已把「{}」恢复到原位置",
|
||||
"restored {} hidden tags": "已恢复 {} 个隐藏标签",
|
||||
"{} is already at the front": "「{}」已经在最前面",
|
||||
"{} is already at the back": "「{}」已经在最后面",
|
||||
"temporarily modified {}; not saved to dictionary": "已临时修改「{}」，未存入词库",
|
||||
@@ -225,10 +224,10 @@ const ZH = {
|
||||
"Hide {}: keeps it visible here (strikethrough) but excludes it from the actual output":
|
||||
"隐藏「{}」：仍显示在节点里（加删除线），但不参与实际输出",
|
||||
"Unhide {}: back into the actual output": "取消隐藏「{}」：重新参与实际输出",
|
||||
"Hidden {}: stays visible and editable here, but excluded from the actual output; click the eye-slash to unhide; press Ctrl+Z to undo":
|
||||
"已隐藏「{}」：仍显示、可照常编辑，但不参与实际输出；点眼睛斜线图标取消隐藏；按 Ctrl+Z 可撤销",
|
||||
"Unhidden {}: back in the actual output; press Ctrl+Z to undo":
|
||||
"已取消隐藏「{}」：重新参与实际输出；按 Ctrl+Z 可撤销",
|
||||
"Hidden {}: stays visible and editable here, but excluded from the actual output; click the eye-slash to unhide":
|
||||
"已隐藏「{}」：仍显示、可照常编辑，但不参与实际输出；点眼睛斜线图标取消隐藏",
|
||||
"Unhidden {}: back in the actual output":
|
||||
"已取消隐藏「{}」：重新参与实际输出",
|
||||
"These tags stay visible above (strikethrough) but will not enter the actual output; click a tag to unhide":
|
||||
"这些标签仍显示在上方（加删除线），但不会进入实际输出；点击标签取消隐藏",
|
||||
"Click to unhide {}": "点击取消隐藏「{}」",
|
||||
@@ -259,9 +258,9 @@ const ZH = {
|
||||
"换行｜拖到某个标签上可移动位置；点 × 删除（上下两行合并）",
|
||||
"Delete this line break": "删除这个换行",
|
||||
"Enter tags first, then insert a line break": "先输入标签，再插入换行",
|
||||
"Inserted a line break; press Ctrl+Z to undo": "已插入换行；按 Ctrl+Z 撤销",
|
||||
"Deleted a line break; press Ctrl+Z to undo": "已删除换行；按 Ctrl+Z 撤销",
|
||||
"Moved the line break; press Ctrl+Z to undo": "已移动换行；按 Ctrl+Z 撤销",
|
||||
"Inserted a line break": "已插入换行",
|
||||
"Deleted a line break": "已删除换行",
|
||||
"Moved the line break": "已移动换行",
|
||||
"Check this machine translation; use the toolbar above the table to add several entries to the personal dictionary at once":
|
||||
"勾选这条机器翻译；用表格上方的工具条可以一次把多条加入个人词库",
|
||||
"Drag to resize the two columns; double-click to reset to the default ratio": "拖动调整左右两栏宽度；双击恢复默认比例",
|
||||
@@ -319,6 +318,7 @@ 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 ────────────────────────────────────────────
|
||||
@@ -333,6 +333,8 @@ 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",
|
||||
|
||||
@@ -398,18 +400,17 @@ 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）",
|
||||
@@ -421,14 +422,26 @@ 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",
|
||||
"Fetch Models": "获取模型",
|
||||
"Fetch Models ({})": "获取模型（{}）",
|
||||
"Fetching...": "获取中…",
|
||||
"Fetched {} models": "已获取 {} 个模型",
|
||||
Close: "关闭",
|
||||
"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",
|
||||
@@ -449,11 +462,21 @@ 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 and language saved": "外观与语言已保存",
|
||||
"Notification popup (top right)": "右上角通知弹窗",
|
||||
"Operation results show as a popup in the top-right corner instead of the status line.": "操作结果改用右上角弹窗显示，不再写在状态栏上。",
|
||||
"Notifications moved to the top-right popup": "已改为右上角弹窗提示",
|
||||
"Notifications back in the status bar": "已改回状态栏提示",
|
||||
// 弹窗标题：按提示类型给一个短词，消息本身放展开后的正文里
|
||||
"Done": "已完成",
|
||||
"Something went wrong": "出错了",
|
||||
"Working...": "处理中",
|
||||
"Notice": "提示",
|
||||
|
||||
// ── 标签来源 / 分类 / 模式 ──────────────────────────────────────────
|
||||
"Inspector assistant": "检查器助手",
|
||||
@@ -613,6 +636,9 @@ 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: {}"。
|
||||
@@ -621,13 +647,11 @@ const ZH = {
|
||||
"No matching favorites.": "没有匹配的收藏。",
|
||||
"No favorites yet. Click the star button on a node to save the current prompt.":
|
||||
"还没有收藏。点节点上的星标按钮即可保存当前提示词。",
|
||||
"This will overwrite node #{} prompt. Cannot be undone with Ctrl+Z.": "这会覆盖节点 #{} 的提示词，Ctrl+Z 无法撤销。",
|
||||
"This will overwrite node #{} prompt. This cannot be undone.": "这会覆盖节点 #{} 的提示词，此操作无法撤销。",
|
||||
"Loaded to node #{}": "已载入到节点 #{}",
|
||||
"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",
|
||||
@@ -667,10 +691,14 @@ const ZH = {
|
||||
"「{}」第 {} / {} 处；再点一次跳下一处，双击删除这一处",
|
||||
"Click a duplicate chip once to step to it before double-clicking to delete":
|
||||
"先单击一次重复胶囊定位到某一处，再双击才会删除",
|
||||
"{} now unique: only the first occurrence enters the actual output; press Ctrl+Z to undo":
|
||||
"「{}」已设为唯一：只有第一次出现进入实际输出；按 Ctrl+Z 可撤销",
|
||||
"{} no longer unique: all occurrences enter the actual output again; press Ctrl+Z to undo":
|
||||
"「{}」已取消唯一：所有重复项重新进入实际输出；按 Ctrl+Z 可撤销",
|
||||
"{} now unique": "「{}」已设为唯一",
|
||||
"{} no longer unique": "「{}」已取消唯一",
|
||||
"Bottom-right toast": "右下角提示条",
|
||||
"Bottom-right toast on": "已开启右下角提示条",
|
||||
"Bottom-right toast off": "已关闭右下角提示条，提示回到状态栏",
|
||||
"Per-operation feedback (translation, tag edits, duplicate toggle) shows as a small bar stacked in the bottom-right corner. Turn it off to keep everything in the status line and save a bit of CPU.":
|
||||
"逐条操作结果（翻译、标签增删改移、重复开关）用右下角堆叠的小条显示；关掉就全部回到状态栏，能省一点性能开销。",
|
||||
"added {}": "已添加「{}」",
|
||||
"Query: {} | {} is on: only the first occurrence reaches the actual output": "查询「{}」｜已开「{}」：只有第一次出现进入实际输出",
|
||||
"keep only the first {}": "只保留第一次出现的「{}」",
|
||||
"restore duplicates of {}": "恢复「{}」的重复项",
|
||||
@@ -752,9 +780,15 @@ 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…",
|
||||
@@ -783,7 +817,8 @@ 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",
|
||||
};
|
||||
|
||||
+612
-151
@@ -3,6 +3,15 @@ import { normalizeKey, validateTranslationResult } from "./parser.js";
|
||||
import { mergeImportAsAliases, previewImport, toggleFavorite } from "./dictionary_tools.js";
|
||||
import { panelSyncHub } from "./panel_sync.js";
|
||||
import { installBpiWheelGuard } from "./wheel_guard.js";
|
||||
import { notifyEnabled, setNotifyEnabled } from "./bpi_notify.js";
|
||||
import { setToastEnabled, toastEnabled } from "./bpi_toast.js";
|
||||
import {
|
||||
dragPreviewNodeEnabled,
|
||||
dragPreviewTableEnabled,
|
||||
setDragPreviewNodeEnabled,
|
||||
setDragPreviewTableEnabled,
|
||||
} from "./bpi_drag_preview.js";
|
||||
import { deleteAnimNodeEnabled, setDeleteAnimNodeEnabled } from "./bpi_delete_anim.js";
|
||||
import {
|
||||
MANAGER_OPEN_EVENT,
|
||||
MANAGER_TAB_ID,
|
||||
@@ -24,6 +33,7 @@ import {
|
||||
bulkUpdateTags,
|
||||
applyBpiAppearance,
|
||||
injectBpiStyles,
|
||||
listAssistantModels,
|
||||
listSavedPrompts,
|
||||
loadDictionary,
|
||||
loadPreferences,
|
||||
@@ -48,17 +58,18 @@ const SECTIONS = [
|
||||
["tag-manager", "Tag Manager"],
|
||||
["tags", "Dictionary"],
|
||||
["packs", "Packs"],
|
||||
["assistant", "Assistant Settings"],
|
||||
["favorites", "Favorites"],
|
||||
];
|
||||
|
||||
// 「跟随选中节点」的开关状态：默认关，关着就是原来只能在下拉里选节点的行为
|
||||
const FOLLOW_SELECTION_KEY = "bpi.followSelection.v1";
|
||||
|
||||
const manager = {
|
||||
data: { tags: [], builtin: [], user: [], packs: [] },
|
||||
preferences: loadPreferences(),
|
||||
selected: new Set(),
|
||||
section: "tags",
|
||||
loaded: false,
|
||||
assistantLoaded: false,
|
||||
favoritesLoaded: false,
|
||||
favorites: [],
|
||||
favoritesChangeHandler: null,
|
||||
@@ -586,10 +597,57 @@ function openImportPreview(payload) {
|
||||
modal.addEventListener("mousedown", (event) => event.stopPropagation());
|
||||
}
|
||||
|
||||
async function buildAssistantSection(section) {
|
||||
section.replaceChildren();
|
||||
// 设置面板每一项 = 名称列 + 控件列，名称列宽度跟着设置项名字长短走：
|
||||
// 插件这两项一个「通用」一个「助手设置」，字数不同，右边的内容就被推得差了一格。
|
||||
// CSS 里已经用 :has() 处理过一次，这里再兜一次——面板重建后内联样式会丢，
|
||||
// 而设置面板每次打开都会重新调用下面的 control，正好顺势对齐一次。
|
||||
// 只认「恰好两列、且第二列装着我们内容」的那一行，结构对不上就不动，免得误伤别的元素。
|
||||
function alignSettingRow(node) {
|
||||
let row = node.parentElement;
|
||||
while (row && row !== document.body) {
|
||||
if (row.children.length === 2 && row.children[1].contains(node)) break;
|
||||
row = row.parentElement;
|
||||
}
|
||||
if (!row || row === document.body) return;
|
||||
const [name, control] = row.children;
|
||||
name.style.display = "none";
|
||||
control.style.flex = "1 1 0%";
|
||||
control.style.minWidth = "0";
|
||||
// ComfyUI 给控件列自带 justify-end：宽度一占满，它反而把内容整个推到右边。
|
||||
// 改回靠左，并让包着我们的那一层也占满，否则内容仍会缩在右侧。
|
||||
control.style.justifyContent = "flex-start";
|
||||
if (node.parentElement && node.parentElement !== control) {
|
||||
node.parentElement.style.flex = "1 1 0%";
|
||||
node.parentElement.style.minWidth = "0";
|
||||
}
|
||||
}
|
||||
|
||||
function alignWhenMounted(node, frames = 30) {
|
||||
if (node.isConnected) {
|
||||
alignSettingRow(node);
|
||||
return;
|
||||
}
|
||||
if (frames > 0) requestAnimationFrame(() => alignWhenMounted(node, frames - 1));
|
||||
}
|
||||
|
||||
// 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) {
|
||||
alignWhenMounted(appearanceSettingsNode);
|
||||
return appearanceSettingsNode;
|
||||
}
|
||||
appearanceSettingsNode = element("div", "bpi-settings-form");
|
||||
const loading = element("div", "bpm-loading", "Loading settings...");
|
||||
section.appendChild(loading);
|
||||
appearanceSettingsNode.appendChild(loading);
|
||||
buildAppearanceForm(appearanceSettingsNode, loading);
|
||||
alignWhenMounted(appearanceSettingsNode);
|
||||
return appearanceSettingsNode;
|
||||
}
|
||||
|
||||
async function buildAppearanceForm(host, loading) {
|
||||
let config;
|
||||
try {
|
||||
config = await getAssistantConfig();
|
||||
@@ -598,110 +656,11 @@ 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 [
|
||||
@@ -729,31 +688,486 @@ 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);
|
||||
// 「跟随选中节点」直接长在「通用」这一项里，排在语言设置下面。
|
||||
// 单独注册成一个设置项的话，ComfyUI 会按分类名给各项排序，怎么调都排不到想要的位置。
|
||||
const followRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
followRow.style.gridColumn = "1 / -1";
|
||||
const followToggle = element("input", "bpi-switch");
|
||||
followToggle.type = "checkbox";
|
||||
followToggle.checked = followSelectionEnabled();
|
||||
const followTrack = element("span", "bpi-switch-track");
|
||||
followTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
followRow.append(followToggle, followTrack, element("span", "bpi-switch-text", "点击节点时跟随切换"));
|
||||
followToggle.addEventListener("change", () => setFollowSelectionEnabled(followToggle.checked));
|
||||
const followNote = element("div", "bpi-config-note", "开：在画布上点一个「双语提示词检查器」节点，侧边栏的「标签管理」就切到它。关：只能在「标签管理」的节点下拉里手动选。");
|
||||
followNote.style.gridColumn = "1 / -1";
|
||||
form.append(languageLabel, languageSelect, languageNote, followRow, followNote, status);
|
||||
// 开：操作提示改成右上角弹窗；关：还是写回明细表上方那条状态文字
|
||||
const fold = element("details", "bpi-fold");
|
||||
const foldBody = element("div", "bpi-fold-body");
|
||||
// 最上面一个总开关：一次把下面这几个弹窗 / 提示条 / 预览 / 动画全打开或全关掉
|
||||
const masterRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const masterSwitch = element("input", "bpi-switch");
|
||||
masterSwitch.type = "checkbox";
|
||||
const masterTrack = element("span", "bpi-switch-track");
|
||||
masterTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
masterRow.append(masterSwitch, masterTrack, element("span", "bpi-switch-text", "全部开启"));
|
||||
const masterNote = element("div", "bpi-fold-note", "小孩子才做选择，大人当然选择全都要！😁");
|
||||
const masterNoteTail = element("div", "bpi-fold-note", "如果显存不够，或者电脑资源比较紧张，可以适当开启或关闭。动画会吃一小部分电脑性能。");
|
||||
const popupRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const popupSwitch = element("input", "bpi-switch");
|
||||
popupSwitch.type = "checkbox";
|
||||
popupSwitch.checked = notifyEnabled();
|
||||
const popupTrack = element("span", "bpi-switch-track");
|
||||
popupTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
popupRow.append(popupSwitch, popupTrack, element("span", "bpi-switch-text", "Notification popup (top right)"));
|
||||
popupSwitch.addEventListener("change", () => {
|
||||
setNotifyEnabled(popupSwitch.checked);
|
||||
setText(status, popupSwitch.checked ? "Notifications moved to the top-right popup" : "Notifications back in the status bar");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
// 右下角那套也一样给个总开关：关掉就退回状态栏，电脑省一点开销
|
||||
const toastRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const toastSwitch = element("input", "bpi-switch");
|
||||
toastSwitch.type = "checkbox";
|
||||
toastSwitch.checked = toastEnabled();
|
||||
const toastTrack = element("span", "bpi-switch-track");
|
||||
toastTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
toastRow.append(toastSwitch, toastTrack, element("span", "bpi-switch-text", "Bottom-right toast"));
|
||||
toastSwitch.addEventListener("change", () => {
|
||||
setToastEnabled(toastSwitch.checked);
|
||||
setText(status, toastSwitch.checked ? "Bottom-right toast on" : "Bottom-right toast off");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
// 拖动实时预览：默认关，节点标签区和明细表各一个开关，互不影响
|
||||
const nodeDragRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const nodeDragSwitch = element("input", "bpi-switch");
|
||||
nodeDragSwitch.type = "checkbox";
|
||||
nodeDragSwitch.checked = dragPreviewNodeEnabled();
|
||||
const nodeDragTrack = element("span", "bpi-switch-track");
|
||||
nodeDragTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
nodeDragRow.append(nodeDragSwitch, nodeDragTrack, element("span", "bpi-switch-text", "拖动实时预览（节点标签区）"));
|
||||
nodeDragSwitch.addEventListener("change", () => {
|
||||
setDragPreviewNodeEnabled(nodeDragSwitch.checked);
|
||||
setText(status, nodeDragSwitch.checked ? "节点标签区拖动实时预览已开" : "节点标签区拖动实时预览已关");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
const tableDragRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const tableDragSwitch = element("input", "bpi-switch");
|
||||
tableDragSwitch.type = "checkbox";
|
||||
tableDragSwitch.checked = dragPreviewTableEnabled();
|
||||
const tableDragTrack = element("span", "bpi-switch-track");
|
||||
tableDragTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
tableDragRow.append(tableDragSwitch, tableDragTrack, element("span", "bpi-switch-text", "拖动实时预览（明细表）"));
|
||||
tableDragSwitch.addEventListener("change", () => {
|
||||
setDragPreviewTableEnabled(tableDragSwitch.checked);
|
||||
setText(status, tableDragSwitch.checked ? "明细表拖动实时预览已开" : "明细表拖动实时预览已关");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
const nodeDragNote = element("div", "bpi-fold-note", "开：按住标签会浮起来跟着鼠标走，原位留一个空位，其余标签像手机桌面挪图标那样平滑让开；松手才真正改写提示词，只留一条撤销记录。每次拖动都要量一遍布局，提示词很长时会多花一点 CPU，受不了就关掉。");
|
||||
const tableDragNote = element("div", "bpi-fold-note", "同上，但只管明细表里的拖动（拖行首的 ⠿ 手柄）。两个开关各管一处，互不影响。");
|
||||
const deleteAnimRow = element("label", "bpi-switch-row bpi-switch-accent");
|
||||
const deleteAnimSwitch = element("input", "bpi-switch");
|
||||
deleteAnimSwitch.type = "checkbox";
|
||||
deleteAnimSwitch.checked = deleteAnimNodeEnabled();
|
||||
const deleteAnimTrack = element("span", "bpi-switch-track");
|
||||
deleteAnimTrack.appendChild(element("span", "bpi-switch-thumb"));
|
||||
deleteAnimRow.append(deleteAnimSwitch, deleteAnimTrack, element("span", "bpi-switch-text", "标签增删动画（节点标签区）"));
|
||||
deleteAnimSwitch.addEventListener("change", () => {
|
||||
setDeleteAnimNodeEnabled(deleteAnimSwitch.checked);
|
||||
setText(status, deleteAnimSwitch.checked ? "节点标签区增删动画已开" : "节点标签区增删动画已关");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
const deleteAnimNote = element("div", "bpi-fold-note", "开：删标签时那张卡先被一个大 X 划掉，接着整块从左往右擦走，然后再消失（约 0.9 秒，这期间那张卡点不动）；添加标签时新卡片从左往右展开，旁边的标签滑开让位。关掉就是原来那样：点一下直接没、加一个直接出现。");
|
||||
const foldNote = element("div", "bpi-fold-note", "Operation results show as a popup in the top-right corner instead of the status line.");
|
||||
const toastNote = element("div", "bpi-fold-note", "Per-operation feedback (translation, tag edits, duplicate toggle) shows as a small bar stacked in the bottom-right corner. Turn it off to keep everything in the status line and save a bit of CPU.");
|
||||
// 总开关最后绑定：这时下面几个子开关都已经建好。
|
||||
// 打开 = 五个全开；关掉 = 五个全关。单独动某个子开关时，总开关跟着反映"是不是全开着"
|
||||
const effectSwitches = [
|
||||
[popupSwitch, setNotifyEnabled],
|
||||
[toastSwitch, setToastEnabled],
|
||||
[nodeDragSwitch, setDragPreviewNodeEnabled],
|
||||
[tableDragSwitch, setDragPreviewTableEnabled],
|
||||
[deleteAnimSwitch, setDeleteAnimNodeEnabled],
|
||||
];
|
||||
const syncMasterSwitch = () => {
|
||||
masterSwitch.checked = effectSwitches.every(([input]) => input.checked);
|
||||
};
|
||||
syncMasterSwitch();
|
||||
masterSwitch.addEventListener("change", () => {
|
||||
const next = masterSwitch.checked;
|
||||
for (const [input, setter] of effectSwitches) {
|
||||
input.checked = next;
|
||||
setter(next);
|
||||
}
|
||||
setText(status, next ? "通知弹窗、提示条、拖动预览和增删动画已全部开启" : "已全部关闭，提示退回状态栏，动画也不再播放");
|
||||
status.dataset.kind = "ok";
|
||||
});
|
||||
for (const [input] of effectSwitches) input.addEventListener("change", syncMasterSwitch);
|
||||
foldBody.append(masterRow, masterNote, masterNoteTail, popupRow, foldNote, toastRow, toastNote, nodeDragRow, nodeDragNote, tableDragRow, tableDragNote, deleteAnimRow, deleteAnimNote);
|
||||
fold.append(element("summary", "", "通知弹窗及实时动画预览"), foldBody);
|
||||
form.appendChild(fold);
|
||||
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);
|
||||
}
|
||||
|
||||
// 「跟随选中节点」：试验开关，单独一项设置，不和外观那块混在一起。
|
||||
// 存在本机 localStorage 里，不走后端配置——它只管这一台机器上的操作习惯。
|
||||
// 开关本体长在「通用」那一项里（见 buildAppearanceForm），这里只管读写状态
|
||||
function followSelectionEnabled() {
|
||||
try {
|
||||
return localStorage.getItem(FOLLOW_SELECTION_KEY) === "1";
|
||||
} catch {
|
||||
return false;
|
||||
}
|
||||
}
|
||||
|
||||
function setFollowSelectionEnabled(enabled) {
|
||||
try {
|
||||
localStorage.setItem(FOLLOW_SELECTION_KEY, enabled ? "1" : "0");
|
||||
} catch (error) {
|
||||
console.warn("[BilingualPromptInspector] Failed to save the follow-selection switch", error);
|
||||
}
|
||||
}
|
||||
|
||||
// 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) {
|
||||
alignWhenMounted(assistantSettingsNode);
|
||||
return assistantSettingsNode;
|
||||
}
|
||||
assistantSettingsNode = element("div", "bpi-settings-form");
|
||||
const loading = element("div", "bpm-loading", "Loading settings...");
|
||||
assistantSettingsNode.appendChild(loading);
|
||||
buildAssistantForm(assistantSettingsNode, loading);
|
||||
alignWhenMounted(assistantSettingsNode);
|
||||
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;
|
||||
};
|
||||
// 模型名称这一行：输入框照旧可以手写，旁边的按钮去问一次服务端有哪些模型，填进输入框自带的下拉里。
|
||||
// 用原生 datalist 而不是弹窗：助手设置长在 ComfyUI 的「设置」面板里，浮层会被它盖住且点不动。
|
||||
const addModelRow = (list, name, value, placeholder, options) => {
|
||||
const label = element("label", "", "Model Name");
|
||||
label.htmlFor = `bpi-field-${name}`;
|
||||
const input = element("input");
|
||||
input.id = label.htmlFor;
|
||||
input.name = name;
|
||||
input.value = value ?? "";
|
||||
setPlaceholder(input, placeholder);
|
||||
// datalist 本身不渲染，挂在 form 里跟着这块设置 DOM 一起活；选项只在本次会话内有效
|
||||
const dataList = element("datalist");
|
||||
dataList.id = `bpi-models-${name}`;
|
||||
input.setAttribute("list", dataList.id);
|
||||
let models = null;
|
||||
const trigger = button("Fetch Models", () => pick());
|
||||
const line = element("div", "bpi-model-line");
|
||||
line.append(input, trigger);
|
||||
form.append(label, line, dataList);
|
||||
list.push(label, line, dataList);
|
||||
const countLabel = () => (models ? `Fetch Models (${models.length})` : "Fetch Models");
|
||||
const forget = () => {
|
||||
models = null;
|
||||
dataList.textContent = "";
|
||||
setText(trigger, countLabel());
|
||||
};
|
||||
// 地址改了就地作废：下拉里不能留着上一个地址的模型
|
||||
options.baseUrl().addEventListener("change", forget);
|
||||
const pick = async () => {
|
||||
trigger.disabled = true;
|
||||
setText(trigger, models ? countLabel() : "Fetching...");
|
||||
try {
|
||||
const url = options.baseUrl().value.trim();
|
||||
const keyInput = options.apiKey();
|
||||
models = await listAssistantModels({
|
||||
backend: options.backend,
|
||||
base_url: url,
|
||||
api_key: keyInput ? keyInput.value.trim() : "",
|
||||
});
|
||||
dataList.textContent = "";
|
||||
for (const model of models) {
|
||||
const option = element("option");
|
||||
option.value = model; // 模型名是服务端原样返回值，不参与翻译
|
||||
dataList.appendChild(option);
|
||||
}
|
||||
setText(trigger, countLabel());
|
||||
input.focus();
|
||||
setText(error, `Fetched ${models.length} models`);
|
||||
error.dataset.kind = "ok";
|
||||
} catch (fetchError) {
|
||||
setText(trigger, countLabel());
|
||||
setText(error, fetchError.message);
|
||||
error.dataset.kind = "error";
|
||||
} finally {
|
||||
trigger.disabled = false;
|
||||
}
|
||||
};
|
||||
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 = addModelRow(openaiOnly, "assistant-openai-model", config.openai_model, "provider model ID", {
|
||||
backend: "openai_compatible",
|
||||
baseUrl: () => openaiBaseUrl,
|
||||
apiKey: () => openaiApiKey,
|
||||
});
|
||||
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 = addModelRow(ollamaOnly, "assistant-ollama-model", config.ollama_model, "e.g.: qwen3:8b", {
|
||||
backend: "ollama",
|
||||
baseUrl: () => ollamaBaseUrl,
|
||||
apiKey: () => null,
|
||||
});
|
||||
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_${prefix}_natural_rule`];
|
||||
setText(error, "Defaults restored in editor; click Save to apply");
|
||||
error.dataset.kind = "ok";
|
||||
});
|
||||
@@ -763,7 +1177,6 @@ async function buildAssistantSection(section) {
|
||||
error.dataset.kind = "busy";
|
||||
try {
|
||||
config = await saveAssistantConfig(payload());
|
||||
setLanguageMode(config.language);
|
||||
const result = await testAssistantConnection();
|
||||
setText(error, `Connection OK: “${result.message}”`);
|
||||
error.dataset.kind = "ok";
|
||||
@@ -778,8 +1191,6 @@ 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) {
|
||||
@@ -790,25 +1201,34 @@ 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,
|
||||
});
|
||||
}
|
||||
|
||||
@@ -820,7 +1240,6 @@ function setSection(section) {
|
||||
refs.sections?.querySelector(`.bpm-section[data-section="${id}"]`)?.toggleAttribute("hidden", id !== section);
|
||||
}
|
||||
if (section === "tag-manager") rebuildTagManagerSection();
|
||||
if (section === "assistant" && !manager.assistantLoaded) buildAssistantSection(refs.assistantSection);
|
||||
if (section === "favorites" && !manager.favoritesLoaded) {
|
||||
manager.favoritesLoaded = true;
|
||||
refs.sections.appendChild(buildFavoritesSection());
|
||||
@@ -989,7 +1408,7 @@ async function loadFavoriteIntoNode(item) {
|
||||
}
|
||||
const confirmed = await confirmDialog(
|
||||
"Load",
|
||||
`This will overwrite node #${target.id} prompt. Cannot be undone with Ctrl+Z.`,
|
||||
`This will overwrite node #${target.id} prompt. This cannot be undone.`,
|
||||
);
|
||||
if (!confirmed) return;
|
||||
target._bilingualPromptInspector?.setText?.(item.text ?? "");
|
||||
@@ -1193,6 +1612,34 @@ function rebuildTagManagerSection() {
|
||||
target._bilingualPromptInspector.refreshAfterConfigure?.();
|
||||
}
|
||||
|
||||
// 画布上点节点 → 「标签管理」跟着切过去。
|
||||
// 只认真正的检查器节点：点编码器、采样器之类的不动，免得切走了还得手动选回来。
|
||||
function followSelectedNode(node) {
|
||||
if (!followSelectionEnabled()) return;
|
||||
if (!node?._bilingualPromptInspector?.detailsBody) return;
|
||||
const id = String(node.id ?? "");
|
||||
if (!id || manager.tagManagerNodeId === id) return;
|
||||
manager.tagManagerNodeId = id;
|
||||
// 面板没打开、或停在别的分页时只记下节点号，等切到「标签管理」时按它渲染
|
||||
if (manager.section === "tag-manager" && refs.tagManagerHost?.isConnected) rebuildTagManagerSection();
|
||||
}
|
||||
|
||||
// canvas.onNodeSelected 只有一个位置，接管前先把原来的接回去（别的扩展也可能挂在上面）。
|
||||
// 前端自己只读不改这个回调，所以在 setup 里装一次就够。
|
||||
function installFollowSelection() {
|
||||
const canvas = app.canvas;
|
||||
if (!canvas || canvas.bpiFollowSelection) return;
|
||||
const previous = canvas.onNodeSelected;
|
||||
canvas.onNodeSelected = function (node, ...rest) {
|
||||
try {
|
||||
previous?.apply(this, [node, ...rest]);
|
||||
} finally {
|
||||
followSelectedNode(node);
|
||||
}
|
||||
};
|
||||
canvas.bpiFollowSelection = true;
|
||||
}
|
||||
|
||||
function build() {
|
||||
root = element("div", "bpm-panel");
|
||||
const head = element("div", "bpm-head");
|
||||
@@ -1210,9 +1657,12 @@ 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);
|
||||
// 撤销键没写在任何提示里，这里在分区上方给一行小字：
|
||||
// Ctrl+Z 归画布，插件自己的撤销是 Shift+Alt+Z。这行直接写中文：
|
||||
// 侧边栏面板的标题/提示不进 i18n 译表，写英文就会一路显示英文
|
||||
const undoHint = element("div", "bpi-config-note", "插件撤销：Shift+Alt+Z（重做：Shift+Alt+Y）");
|
||||
undoHint.style.cssText = "padding:0 10px 6px";
|
||||
root.append(head, refs.tabs, undoHint, refs.sections);
|
||||
root.addEventListener("mousedown", (event) => event.stopPropagation());
|
||||
root.addEventListener("wheel", (event) => event.stopPropagation(), { passive: true });
|
||||
// 面板每次都重建，收藏分页也要跟着重新懒加载
|
||||
@@ -1327,14 +1777,6 @@ 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);
|
||||
@@ -1365,7 +1807,26 @@ 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: "通用",
|
||||
type: appearanceControl,
|
||||
defaultValue: "",
|
||||
category: ["双语提示词检查器", "通用"],
|
||||
},
|
||||
{
|
||||
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() {
|
||||
installFollowSelection();
|
||||
if (!app.extensionManager?.registerSidebarTab) {
|
||||
console.warn("[BilingualPromptInspector] Current frontend does not support sidebar; panel unavailable");
|
||||
return;
|
||||
@@ -1376,7 +1837,7 @@ 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": "2.0.6",
|
||||
"version": "2.2.0",
|
||||
"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 = "2.0.6"
|
||||
version = "2.2.0"
|
||||
# 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" }
|
||||
|
||||
@@ -14,16 +14,25 @@ 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,
|
||||
ollama_tags_endpoint,
|
||||
openai_chat_endpoint,
|
||||
openai_models_endpoint,
|
||||
parse_json_body,
|
||||
sanitize_anima_prompt,
|
||||
sanitize_natural_prompt,
|
||||
translation_direction,
|
||||
upstream_error_message,
|
||||
)
|
||||
from .dictionary_store import DictionaryStore, normalize_key
|
||||
from .duplicate_check import find_duplicates
|
||||
@@ -42,6 +51,7 @@ assistant_store.config() # 进程启动时立即清除与当前安装身份不
|
||||
_SESSION_TOKEN = secrets.token_urlsafe(32)
|
||||
_MAX_JSON_BYTES = 8 * 1024 * 1024
|
||||
_MAX_ASSISTANT_JSON_BYTES = 256 * 1024
|
||||
_MODEL_LIST_TIMEOUT_SECONDS = 20
|
||||
_ASSISTANT_RATE_WINDOW = 60.0
|
||||
_ASSISTANT_RATE_LIMIT = 30
|
||||
_assistant_requests = deque()
|
||||
@@ -170,7 +180,7 @@ 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 +204,21 @@ 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。"
|
||||
@@ -216,55 +232,61 @@ 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:
|
||||
data = await response.json(content_type=None)
|
||||
body = await response.text()
|
||||
if response.status >= 400:
|
||||
raise ValueError(data.get("error") or f"Ollama 请求失败：HTTP {response.status}")
|
||||
result = data.get("message", {}).get("content")
|
||||
raise ValueError(upstream_error_message(body, response.status, "Ollama"))
|
||||
result = parse_json_body(body, "Ollama").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:
|
||||
data = await response.json(content_type=None)
|
||||
async with session.post(openai_chat_endpoint(base), headers=headers, json=payload) as response:
|
||||
body = await response.text()
|
||||
if response.status >= 400:
|
||||
detail = data.get("error") if isinstance(data, dict) else None
|
||||
if isinstance(detail, dict):
|
||||
detail = detail.get("message")
|
||||
raise ValueError(detail or f"API 请求失败：HTTP {response.status}")
|
||||
choices = data.get("choices") if isinstance(data, dict) else None
|
||||
raise ValueError(upstream_error_message(body, response.status, "API"))
|
||||
choices = parse_json_body(body, "API").get("choices")
|
||||
result = choices[0].get("message", {}).get("content") if choices else None
|
||||
result = _clean_assistant_result(result)
|
||||
if not result:
|
||||
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 +294,13 @@ 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 +313,7 @@ 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 +340,54 @@ async def save_assistant_config(request):
|
||||
return error_response(error)
|
||||
|
||||
|
||||
@protected_route("post", "/bpi/assistant/reset-rules")
|
||||
async def reset_assistant_rules(_request):
|
||||
async def _list_backend_models(prefix, base_url, api_key):
|
||||
"""向 AI 后端问一次「你有哪些模型」；地址沿用现有白名单，问完不留任何东西。"""
|
||||
timeout = ClientTimeout(total=_MODEL_LIST_TIMEOUT_SECONDS)
|
||||
async with ClientSession(timeout=timeout) as session:
|
||||
if prefix == "ollama":
|
||||
# Ollama 只认本机回环地址，这里再校验一次，挡住手改配置文件的情况
|
||||
base = normalize_ai_base_url(base_url)
|
||||
if not base:
|
||||
raise ValueError("尚未填写 Ollama 地址")
|
||||
async with session.get(ollama_tags_endpoint(base)) as response:
|
||||
# 先读原文再看状态码：错误应答常常不是 JSON，按 JSON 硬解析会把整个请求打崩
|
||||
body = await response.text()
|
||||
if response.status >= 400:
|
||||
raise ValueError(upstream_error_message(body, response.status, "Ollama"))
|
||||
names = [item.get("name") for item in parse_json_body(body, "Ollama").get("models") or []]
|
||||
else:
|
||||
base = normalize_ai_base_url(base_url, allow_remote=True)
|
||||
if not base:
|
||||
raise ValueError("尚未填写 OpenAI 兼容 API 地址")
|
||||
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
|
||||
async with session.get(openai_models_endpoint(base), headers=headers) as response:
|
||||
body = await response.text()
|
||||
if response.status >= 400:
|
||||
raise ValueError(upstream_error_message(body, response.status, "API"))
|
||||
names = [item.get("id") for item in parse_json_body(body, "API").get("data") or []]
|
||||
models = sorted({str(name).strip() for name in names if str(name).strip()})
|
||||
if not models:
|
||||
raise ValueError("服务端没有返回任何模型；也可以直接在输入框里手写模型名称")
|
||||
return models
|
||||
|
||||
|
||||
@protected_route("post", "/bpi/assistant/models")
|
||||
async def list_assistant_models(request):
|
||||
"""用表单里当前填的地址问一次模型列表，只为给下拉候选用：不写配置，也不把密钥返回浏览器。"""
|
||||
try:
|
||||
return web.json_response({"success": True, "data": assistant_store.reset_rules()})
|
||||
except OSError as error:
|
||||
return error_response(error, 500)
|
||||
payload = await _read_json(request, _MAX_ASSISTANT_JSON_BYTES)
|
||||
if not isinstance(payload, dict):
|
||||
raise ValueError("请求内容格式不正确")
|
||||
_consume_assistant_rate_limit()
|
||||
prefix = "ollama" if payload.get("backend") == "ollama" else "openai"
|
||||
# 密钥输入框留空 = 用户已经存过、这次不想再敲一遍，就拿已存的那份去问；仍只用于这一次请求
|
||||
api_key = str(payload.get("api_key") or "").strip() or str(assistant_store.config().get(f"{prefix}_api_key") or "").strip()
|
||||
models = await _list_backend_models(prefix, str(payload.get("base_url") or "").strip(), api_key)
|
||||
return web.json_response({"success": True, "data": {"models": models}})
|
||||
except AssistantLimitError as error:
|
||||
return error_response(error, 429)
|
||||
except Exception as error:
|
||||
return error_response(error)
|
||||
|
||||
|
||||
@protected_route("post", "/bpi/assistant/test")
|
||||
@@ -352,7 +416,7 @@ 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")
|
||||
|
||||
+278
-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,
|
||||
@@ -15,9 +16,15 @@ from assistant_store import (
|
||||
baidu_split_query,
|
||||
baidu_translate_params,
|
||||
dictionary_translate,
|
||||
normalize_ai_base_url,
|
||||
ollama_tags_endpoint,
|
||||
openai_chat_endpoint,
|
||||
openai_models_endpoint,
|
||||
parse_json_body,
|
||||
sanitize_anima_prompt,
|
||||
sanitize_natural_prompt,
|
||||
translation_direction,
|
||||
upstream_error_message,
|
||||
)
|
||||
from dictionary_store import DictionaryStore
|
||||
|
||||
@@ -37,41 +44,108 @@ 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 +153,115 @@ 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 +321,47 @@ 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 +372,10 @@ 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 +386,11 @@ 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 +405,13 @@ 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")
|
||||
|
||||
@@ -241,6 +448,38 @@ class AssistantStoreTests(unittest.TestCase):
|
||||
path.write_text(json.dumps(raw, ensure_ascii=False), encoding="utf-8")
|
||||
self.assertEqual(store.config()["baidu_qps"], 1.0)
|
||||
|
||||
def test_model_list_endpoints_reuse_the_saved_base_url_shape(self):
|
||||
self.assertEqual(openai_models_endpoint("https://api.openai.com/v1"), "https://api.openai.com/v1/models")
|
||||
self.assertEqual(openai_models_endpoint("http://127.0.0.1:1234/v1/"), "http://127.0.0.1:1234/v1/models")
|
||||
self.assertEqual(openai_models_endpoint("https://x.cn/v1/chat/completions"), "https://x.cn/v1/models")
|
||||
self.assertEqual(openai_models_endpoint("https://x.cn/models"), "https://x.cn/models")
|
||||
self.assertEqual(ollama_tags_endpoint("http://127.0.0.1:11434"), "http://127.0.0.1:11434/api/tags")
|
||||
self.assertEqual(ollama_tags_endpoint("http://127.0.0.1:11434/v1"), "http://127.0.0.1:11434/api/tags")
|
||||
self.assertEqual(ollama_tags_endpoint("http://127.0.0.1:11434/api/chat"), "http://127.0.0.1:11434/api/tags")
|
||||
self.assertEqual(openai_models_endpoint(""), "")
|
||||
self.assertEqual(ollama_tags_endpoint(""), "")
|
||||
|
||||
def test_error_bodies_that_are_not_json_still_read_as_a_sentence(self):
|
||||
# DeepSeek 缺密钥时回的是纯文本一行，不是 JSON；解析不了也不能把整条请求打崩
|
||||
# 第三个参数和 server.py 里的调用保持一致：整条路径改签名时这里会先炸出来
|
||||
self.assertIn("Authentication Fails", upstream_error_message("Authentication Fails (governor)", 401, "API"))
|
||||
self.assertIn("请检查 API 密钥", upstream_error_message("Authentication Fails (governor)", 401, "API"))
|
||||
self.assertEqual(
|
||||
upstream_error_message('{"error":{"message":"Invalid API key"}}', 401, "API"),
|
||||
"Invalid API key（HTTP 401；请检查 API 密钥是否已填写、是否有效）",
|
||||
)
|
||||
self.assertEqual(upstream_error_message("404 page not found", 404, "API"), "404 page not found（HTTP 404）")
|
||||
self.assertEqual(upstream_error_message("", 502, "Ollama"), "Ollama 请求失败（HTTP 502）")
|
||||
self.assertTrue(len(upstream_error_message("<html>" + "x" * 500 + "</html>", 403, "API")) < 220)
|
||||
|
||||
def test_non_json_success_body_reports_instead_of_crashing(self):
|
||||
self.assertEqual(parse_json_body('{"data": []}', "API"), {"data": []})
|
||||
with self.assertRaises(ValueError) as raised:
|
||||
parse_json_body("<html>login</html>", "API")
|
||||
self.assertIn("返回的不是 JSON", str(raised.exception))
|
||||
with self.assertRaises(ValueError):
|
||||
parse_json_body("[1, 2, 3]", "API")
|
||||
|
||||
def test_baidu_params_and_query_splitting(self):
|
||||
params = baidu_translate_params("appid", "secret", "你好", "zh", salt="12345")
|
||||
self.assertEqual(params["sign"], hashlib.md5("appid你好12345secret".encode("utf-8")).hexdigest())
|
||||
|
||||
@@ -69,8 +69,7 @@ assert.equal(t("“1girl” appears 3 times; “Unique” is on, only the first
|
||||
"「1girl」出现了 3 次；已开「唯一」：只有第一次进入实际输出");
|
||||
assert.equal(t("“1girl” occurrence 2 of 3; click again for the next one, double-click to delete it"),
|
||||
"「1girl」第 2 / 3 处；再点一次跳下一处，双击删除这一处");
|
||||
assert.equal(t("“1girl” now unique: only the first occurrence enters the actual output; press Ctrl+Z to undo"),
|
||||
"「1girl」已设为唯一：只有第一次出现进入实际输出；按 Ctrl+Z 可撤销");
|
||||
assert.equal(t("“1girl” now unique"), "「1girl」已设为唯一");
|
||||
// 「Unique」在译文里会被二次翻译，tooltip 读起来是一致的中文
|
||||
assert.equal(t("Query: “1girl” | “Unique” is on: only the first occurrence reaches the actual output"),
|
||||
"查询「1girl」｜已开「唯一」：只有第一次出现进入实际输出");
|
||||
|
||||
+34
-15
@@ -27,8 +27,8 @@ assert.equal(t(""), "");
|
||||
assert.equal(t(undefined), undefined);
|
||||
|
||||
// 带变量的文案：「“...”」和数字折叠成占位符后回填
|
||||
assert.equal(t("deleted “masterpiece”; press Ctrl+Z to undo"), "已删除「masterpiece」；按 Ctrl+Z 可撤销");
|
||||
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("deleted “masterpiece”"), "已删除「masterpiece」");
|
||||
assert.equal(t("restored 3 hidden tags"), "已恢复 3 个隐藏标签");
|
||||
|
||||
// 用户实际会看到的组合文案：统计行、词包信息、操作回执、模式提示
|
||||
assert.equal(t("items 3 | recognized 1 | unknown 2"), "共 3 个标签｜已识别 1｜未收录 2");
|
||||
@@ -74,7 +74,7 @@ assert.equal(
|
||||
assert.equal(t("Large 12000 (on-demand)"), "大词库 12000（按需）");
|
||||
assert.equal(t("Large 12000 (disabled)"), "大词库 12000（已停用）");
|
||||
assert.equal(t("Common dictionary 952 items"), "通用词库 952 条");
|
||||
assert.equal(t("moved “1girl”; press Ctrl+Z to undo"), "已移动「1girl」；按 Ctrl+Z 可撤销");
|
||||
assert.equal(t("moved “1girl”"), "已移动「1girl」");
|
||||
assert.equal(t("Mode: “Tag” | “标签式输入”"), "模式：标签｜标签式输入");
|
||||
assert.equal(t("Mode: “Tag”"), "模式：标签");
|
||||
assert.equal(
|
||||
@@ -85,8 +85,16 @@ 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"],
|
||||
["applied “Translate & optimize”; press Ctrl+Z to undo", "已应用 翻译并优化；按 Ctrl+Z 可撤销"],
|
||||
["“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”", "已应用 翻译并优化"],
|
||||
["Undone: “Sort to Anima order”", "已撤销：Sort to Anima order"],
|
||||
["Redone: “Sort to Anima order”", "已重做：Sort to Anima order"],
|
||||
["Running “Translate”…", "正在运行 翻译…"],
|
||||
@@ -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");
|
||||
@@ -144,16 +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");
|
||||
// 「语言与外观 / 助手设置」两项的标题由 ComfyUI 渲染设置项名称，插件不再自带 h3
|
||||
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("This will overwrite node #3 prompt. This cannot be undone."), "这会覆盖节点 #3 的提示词，此操作无法撤销。");
|
||||
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("restored 3 hidden tags"), "已恢复 3 个隐藏标签");
|
||||
assert.equal(t("Node #3"), "节点 #3");
|
||||
|
||||
// 状态提示（整句形态）
|
||||
|
||||
@@ -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