mirror of
https://github.com/basketikun/infinite-canvas.git
synced 2026-07-24 15:24:06 +08:00
feat(docs): update documentation to reflect direct browser connections for third-party prompts and WebDAV
This commit is contained in:
HouYunFei
@@ -4,6 +4,7 @@
|
||||
|
||||
+ [新增] 渠道兼容Gemini格式。
|
||||
+ [新增] 新增Codex App插件支持。
|
||||
+ [调整] Next.js -> Vite，前端构建工具迁移。
|
||||
|
||||
## v0.4.0 - 2026-06-16
|
||||
|
||||
|
||||
@@ -28,7 +28,7 @@
|
||||
- 画布助手：围绕选中节点和上游节点对话、生图，并把结果插回画布。
|
||||
- 本地 Agent：通过本机 Canvas Agent 连接 Codex / Claude Code，让 Agent 通过 MCP 操作当前画布；
|
||||
- Codex App 插件：提供 Codex app 插件，安装后会自动注册 MCP 并尝试拉起本地 Agent。
|
||||
- 提示词库：Next.js route 抓取多个 GitHub 开源项目，并缓存在运行实例内存中。
|
||||
- 提示词库：浏览器前端直连多个 GitHub 开源项目，并缓存到 IndexedDB。
|
||||
|
||||
完整功能说明见 [功能介绍](docs/content/docs/overview/features.mdx)。
|
||||
|
||||
@@ -37,7 +37,7 @@
|
||||
## 技术栈
|
||||
|
||||
- 前端：Next.js、React、TypeScript、Tailwind CSS、Ant Design、Zustand、TanStack Query。
|
||||
- 少量 Next.js Route：第三方提示词内存缓存、WebDAV 可选代理。
|
||||
- 前端：提示词库、WebDAV 和 AI 接口都由浏览器前端直连。
|
||||
- 部署：Vercel 或 Docker。
|
||||
|
||||
## 快速开始
|
||||
|
||||
@@ -23,7 +23,7 @@ http://localhost:3000
|
||||
|
||||
## 2. 配置模型
|
||||
|
||||
打开右上角配置弹窗，填写自己的 `Base URL`、`API Key` 和模型名。第三方提示词由 Next.js route 拉取并缓存在运行实例内存中；WebDAV 可选择前端直连或 Next.js 转发。
|
||||
打开右上角配置弹窗，填写自己的 `Base URL`、`API Key` 和模型名。第三方提示词和 WebDAV 都由浏览器前端直连。
|
||||
|
||||
## 3. 启动文档站
|
||||
|
||||
@@ -36,5 +36,5 @@ bun run dev
|
||||
## 常见场景
|
||||
|
||||
- 改画布、页面和交互：主要看 `web/`
|
||||
- 改提示词缓存或 WebDAV 代理：主要看 `web/src/app/api/` 和 `web/src/app/webdav-proxy/`
|
||||
- 改提示词缓存：主要看 `web/src/services/api/prompts.ts`
|
||||
- 改文档站内容：主要看 `docs/content/docs/`
|
||||
|
||||
@@ -49,4 +49,4 @@ docker compose -f docker-compose.local.yml up -d --build
|
||||
|
||||
## 数据说明
|
||||
|
||||
当前主应用镜像只启动 Next.js。画布、我的素材、生成记录和 AI API Key 默认保存在浏览器本地；第三方提示词由 Next.js route 拉取后缓存在运行实例内存里，不需要额外挂载数据目录。
|
||||
当前主应用镜像只启动 Next.js。画布、我的素材、生成记录和 AI API Key 默认保存在浏览器本地；第三方提示词由浏览器前端直连拉取，不需要额外挂载数据目录。
|
||||
|
||||
@@ -125,7 +125,7 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾，系统不
|
||||
- 查看远程提示词源。
|
||||
- 触发读取内置远程提示词源。
|
||||
|
||||
当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库，由 Next.js route 拉取并缓存在当前运行实例内存中。
|
||||
当前内置远程源包括多个 GPT Image / GPT-4o / Nano Banana Pro 相关提示词仓库，由浏览器前端直连拉取并缓存到 IndexedDB。
|
||||
|
||||
## 素材
|
||||
|
||||
@@ -146,7 +146,7 @@ Base URL 如果已经以 `/v1`、`/api/v3` 或 `/api/plan/v3` 结尾，系统不
|
||||
|
||||
- 当前版本不需要账号登录，也不再提供后台管理页面。
|
||||
- 配置与用户偏好弹窗支持多个 OpenAI 兼容渠道、默认模型、生成偏好和 WebDAV 同步设置。
|
||||
- 第三方提示词和 WebDAV 可使用少量 Next.js route，AI 接口不经过项目后端代理。
|
||||
- 第三方提示词、WebDAV 和 AI 接口都由浏览器前端直连，不经过项目后端代理。
|
||||
|
||||
## 当前限制
|
||||
|
||||
|
||||
@@ -39,7 +39,7 @@ docker run --rm -p 3000:3000 infinite-canvas
|
||||
## 首次使用建议
|
||||
|
||||
- 先打开右上角配置弹窗，填入自己的 `Base URL`、`API Key` 和模型名。
|
||||
- 如果需要提示词仓库内容，打开 `/prompts` 会通过 Next.js route 拉取并缓存在内存中。
|
||||
- 如果需要提示词仓库内容，打开 `/prompts` 会由浏览器前端直连拉取并缓存到 IndexedDB。
|
||||
- 如果需要跨设备同步画布、素材和生成记录，可在配置弹窗中填写 WebDAV。
|
||||
|
||||
## 说明
|
||||
|
||||
@@ -22,7 +22,7 @@ description: 使用 Render 部署无限画布
|
||||
默认使用 Render 免费 Web Service：
|
||||
|
||||
- 空闲约 15 分钟后会休眠，下次访问会自动唤醒。
|
||||
- 当前主应用数据默认保存在浏览器本地；第三方提示词缓存会随 Render 实例重启而清空，下次访问会重新拉取。
|
||||
- 当前主应用数据默认保存在浏览器本地；第三方提示词由浏览器前端直连拉取。
|
||||
- 适合体验和演示，不适合长期保存正式数据。
|
||||
|
||||
长期使用建议优先部署到 Vercel，或自行配置 WebDAV 同步浏览器本地数据。
|
||||
|
||||
@@ -9,3 +9,5 @@ description: 当前版本已实现但仍需人工验证的变更项
|
||||
- 配置与用户偏好：每个模型渠道新增 OpenAI / Gemini 调用格式选择，默认 OpenAI，切换默认格式时同步更新默认 Base URL；渠道 Tab 增加紧凑醒目的提醒，说明模型是否可选需要到“模型”Tab 选择。
|
||||
- Gemini 调用格式：支持拉取 Gemini 模型列表，并用于文本问答、在线 Agent 工具调用、基础生图和图生图请求。
|
||||
- 音频和视频生成：选择 Gemini 调用格式时先给出不支持提示，仍需使用 OpenAI 兼容渠道。
|
||||
- WebDAV 同步：移除 Next.js 转发代理和连接方式选择，改为浏览器前端直接连接 WebDAV 服务。
|
||||
- 提示词库：移除 Next.js route 抓取和服务端内存缓存，改为浏览器前端直连 GitHub 原始文件并缓存到 IndexedDB。
|
||||
|
||||
@@ -25,11 +25,10 @@ description: 安全漏洞提交和负责任披露说明
|
||||
- 清晰的复现步骤。
|
||||
- 漏洞影响、攻击场景和触发条件。
|
||||
- 已脱敏的日志、截图或 PoC。
|
||||
- 是否涉及浏览器本地存储、API Key、WebDAV 同步、AI 渠道配置或代理接口。
|
||||
- 是否涉及浏览器本地存储、API Key、WebDAV 同步、AI 渠道配置或接口请求。
|
||||
|
||||
## 范围说明
|
||||
|
||||
项目会优先处理由本仓库代码或默认配置导致的 XSS、敏感信息泄露、文件处理、导入导出、WebDAV 代理、权限控制和供应链风险。
|
||||
项目会优先处理由本仓库代码或默认配置导致的 XSS、敏感信息泄露、文件处理、导入导出、WebDAV 同步、权限控制和供应链风险。
|
||||
|
||||
第三方模型服务、托管平台、浏览器插件、用户自行泄露的 API Key、没有实际利用路径的安全头建议、纯社工钓鱼或账号找回问题通常不属于本项目漏洞范围。
|
||||
|
||||
|
||||
@@ -1,258 +0,0 @@
|
||||
import type { NextRequest } from "next/server";
|
||||
|
||||
export const runtime = "nodejs";
|
||||
export const dynamic = "force-dynamic";
|
||||
|
||||
type Prompt = {
|
||||
id: string;
|
||||
title: string;
|
||||
coverUrl: string;
|
||||
prompt: string;
|
||||
tags: string[];
|
||||
category: string;
|
||||
githubUrl: string;
|
||||
preview: string;
|
||||
createdAt: string;
|
||||
updatedAt: string;
|
||||
};
|
||||
|
||||
type PromptCategory = {
|
||||
category: string;
|
||||
githubUrl: string;
|
||||
build: () => Promise<Omit<Prompt, "category" | "githubUrl">[]>;
|
||||
};
|
||||
|
||||
const gptImage2RawBase = "https://raw.githubusercontent.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts/main";
|
||||
const awesomeGptImageRawBase = "https://raw.githubusercontent.com/ZeroLu/awesome-gpt-image/main";
|
||||
const awesomeGpt4oImagePromptsBase = "https://raw.githubusercontent.com/ImgEdify/Awesome-GPT4o-Image-Prompts/main";
|
||||
const youMindGptImage2RawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-gpt-image-2/main";
|
||||
const youMindNanoBananaProRawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts/main";
|
||||
const davidWuGptImage2RawBase = "https://raw.githubusercontent.com/davidwuw0811-boop/awesome-gpt-image2-prompts/main";
|
||||
const gptImage2CaseFiles = ["README.md", "cases/ad-creative.md", "cases/character.md", "cases/comparison.md", "cases/ecommerce.md", "cases/portrait.md", "cases/poster.md", "cases/ui.md"];
|
||||
const cacheTtlMs = 1000 * 60 * 60;
|
||||
|
||||
const categories: PromptCategory[] = [
|
||||
{ category: "gpt-image-2-prompts", githubUrl: "https://github.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts", build: buildGptImage2Prompts },
|
||||
{ category: "awesome-gpt-image", githubUrl: "https://github.com/ZeroLu/awesome-gpt-image", build: buildAwesomeGptImagePrompts },
|
||||
{ category: "awesome-gpt4o-image-prompts", githubUrl: "https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts", build: buildAwesomeGpt4oImagePrompts },
|
||||
{ category: "youmind-gpt-image-2", githubUrl: "https://github.com/YouMind-OpenLab/awesome-gpt-image-2", build: () => buildYouMindPrompts(youMindGptImage2RawBase, "youmind-gpt-image-2", "gpt-image-2") },
|
||||
{ category: "youmind-nano-banana-pro", githubUrl: "https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts", build: () => buildYouMindPrompts(youMindNanoBananaProRawBase, "youmind-nano-banana-pro", "nano-banana-pro") },
|
||||
{ category: "davidwu-gpt-image2-prompts", githubUrl: "https://github.com/davidwuw0811-boop/awesome-gpt-image2-prompts", build: buildDavidWuGptImage2Prompts },
|
||||
];
|
||||
|
||||
let memoryCache: { items: Prompt[]; fetchedAt: number } | null = null;
|
||||
let loadingPrompts: Promise<Prompt[]> | null = null;
|
||||
|
||||
export async function GET(request: NextRequest) {
|
||||
const params = request.nextUrl.searchParams;
|
||||
const keyword = (params.get("keyword") || "").trim().toLowerCase();
|
||||
const tags = params.getAll("tag").filter(Boolean);
|
||||
const category = params.get("category") || "";
|
||||
const page = Math.max(1, Number(params.get("page")) || 1);
|
||||
const pageSize = Math.max(1, Math.min(100, Number(params.get("pageSize")) || 20));
|
||||
const items = await getPrompts();
|
||||
const withoutTagFilter = filterPrompts(items, { keyword, category, tags: [] });
|
||||
const filtered = filterPrompts(items, { keyword, category, tags });
|
||||
|
||||
return Response.json({
|
||||
items: filtered.slice((page - 1) * pageSize, page * pageSize),
|
||||
tags: collectTags(withoutTagFilter),
|
||||
categories: categories.map((item) => item.category),
|
||||
total: filtered.length,
|
||||
});
|
||||
}
|
||||
|
||||
async function getPrompts() {
|
||||
if (memoryCache && Date.now() - memoryCache.fetchedAt < cacheTtlMs) return memoryCache.items;
|
||||
if (loadingPrompts) return loadingPrompts;
|
||||
loadingPrompts = loadPrompts().finally(() => {
|
||||
loadingPrompts = null;
|
||||
});
|
||||
return loadingPrompts;
|
||||
}
|
||||
|
||||
async function loadPrompts() {
|
||||
const settled = await Promise.all(
|
||||
categories.map(async (category) => {
|
||||
try {
|
||||
const items = await category.build();
|
||||
return items.map((item) => ({ ...item, category: category.category, githubUrl: category.githubUrl }));
|
||||
} catch {
|
||||
return [];
|
||||
}
|
||||
}),
|
||||
);
|
||||
const items = settled.flat();
|
||||
memoryCache = { items, fetchedAt: Date.now() };
|
||||
return items;
|
||||
}
|
||||
|
||||
function filterPrompts(items: Prompt[], options: { keyword: string; category: string; tags: string[] }) {
|
||||
return items.filter((item) => {
|
||||
if (isActiveOption(options.category) && item.category !== options.category) return false;
|
||||
if (options.tags.length && !options.tags.some((tag) => item.tags.includes(tag))) return false;
|
||||
if (!options.keyword) return true;
|
||||
return [item.title, item.prompt, item.category, ...item.tags].join(" ").toLowerCase().includes(options.keyword);
|
||||
});
|
||||
}
|
||||
|
||||
async function buildGptImage2Prompts() {
|
||||
const data = (await fetchJson<{ records?: Array<{ title?: string; tweet_url?: string; image_dir?: string; category?: string; added_at?: string }> }>(gptImage2RawBase, "data/ingested_tweets.json")).records || [];
|
||||
const cases = new Map<string, string>();
|
||||
const markdowns = await Promise.all(gptImage2CaseFiles.map((file) => fetchText(gptImage2RawBase, file)));
|
||||
markdowns.forEach((markdown) => collectGptImage2Cases(cases, markdown));
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
data.forEach((item) => {
|
||||
const prompt = cases.get(item.tweet_url || "");
|
||||
if (!item.title || !prompt || !item.image_dir) return;
|
||||
const image = `${gptImage2RawBase}/${item.image_dir}/output.jpg`;
|
||||
items.push({ id: `gpt-image-2-prompts-${leftPad(items.length + 1)}`, title: item.title, coverUrl: image, prompt, tags: tagsFromCategory(item.category || ""), preview: markdownPreview([image]), createdAt: item.added_at || "", updatedAt: item.added_at || "" });
|
||||
});
|
||||
return items;
|
||||
}
|
||||
|
||||
function collectGptImage2Cases(cases: Map<string, string>, markdown: string) {
|
||||
for (const match of markdown.matchAll(/### Case \d+: \[[^\]]+]\(([^)]+)\).*?\*\*Prompt:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/gs)) {
|
||||
cases.set(match[1], match[2].trim());
|
||||
}
|
||||
}
|
||||
|
||||
async function buildAwesomeGptImagePrompts() {
|
||||
const markdown = await fetchText(awesomeGptImageRawBase, "README.zh-CN.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const section of splitBeforeHeading(markdown, "## ")) {
|
||||
const tags = tagsFromHeading(firstMatch(section, /^##\s+(.+)$/m));
|
||||
for (const block of splitBeforeHeading(section, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+(.+)$/m).replace(/\[([^\]]+)]\([^)]+\)/g, "$1").trim();
|
||||
const prompt = firstMatch(block, /\*\*提示词:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(awesomeGptImageRawBase, block);
|
||||
items.push(defaultPrompt(`awesome-gpt-image-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", tags, markdownPreview(images)));
|
||||
}
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildAwesomeGpt4oImagePrompts() {
|
||||
const markdown = await fetchText(awesomeGpt4oImagePromptsBase, "README.zh-CN.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const block of splitBeforeHeading(markdown, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+(.+)$/m).trim();
|
||||
const prompt = firstMatch(block, /- \*\*提示词文本：\*\*\s*`(.*?)`/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(awesomeGpt4oImagePromptsBase, block);
|
||||
items.push(defaultPrompt(`awesome-gpt4o-image-prompts-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", ["gpt4o"], markdownPreview(images)));
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildYouMindPrompts(baseUrl: string, idPrefix: string, modelTag: string) {
|
||||
const markdown = await fetchText(baseUrl, "README_zh.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const block of splitBeforeHeading(markdown, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+No\.\s*\d+:\s*(.+)$/m).trim();
|
||||
const prompt = firstMatch(block, /#### .*?提示词\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(baseUrl, block);
|
||||
items.push(defaultPrompt(`${idPrefix}-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", youMindTags(title, modelTag), markdownPreview(images)));
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildDavidWuGptImage2Prompts() {
|
||||
const data = await fetchJson<Array<{ id?: number; title_en?: string; title_cn?: string; category?: string; category_cn?: string; prompt?: string; note?: string; author?: string; source?: string; needs_ref?: boolean; image?: string }>>(davidWuGptImage2RawBase, "prompts.json");
|
||||
return data
|
||||
.map((item, index) => {
|
||||
const title = (item.title_cn || item.title_en || "").trim();
|
||||
const prompt = (item.prompt || "").trim();
|
||||
if (!title || !prompt) return null;
|
||||
const image = absoluteImage(davidWuGptImage2RawBase, item.image || "");
|
||||
const preview = [item.title_en, item.note, image ? `` : ""].filter(Boolean).join("\n\n");
|
||||
return defaultPrompt(`davidwu-gpt-image2-prompts-${leftPad(item.id || index + 1)}`, title, prompt, image, davidWuTags(item), preview);
|
||||
})
|
||||
.filter((item): item is Omit<Prompt, "category" | "githubUrl"> => Boolean(item));
|
||||
}
|
||||
|
||||
function defaultPrompt(id: string, title: string, prompt: string, coverUrl: string, tags: string[], preview: string): Omit<Prompt, "category" | "githubUrl"> {
|
||||
return { id, title, coverUrl, prompt, tags, preview, createdAt: "", updatedAt: "" };
|
||||
}
|
||||
|
||||
async function fetchText(baseUrl: string, file: string) {
|
||||
const response = await fetch(`${baseUrl}/${file}`, { cache: "no-store" });
|
||||
if (!response.ok) throw new Error(`${file} 拉取失败`);
|
||||
return response.text();
|
||||
}
|
||||
|
||||
async function fetchJson<T>(baseUrl: string, file: string) {
|
||||
return JSON.parse(await fetchText(baseUrl, file)) as T;
|
||||
}
|
||||
|
||||
function splitBeforeHeading(markdown: string, prefix: string) {
|
||||
const blocks: string[] = [];
|
||||
let current: string[] = [];
|
||||
for (const line of markdown.split("\n")) {
|
||||
if (line.startsWith(prefix) && current.length) {
|
||||
blocks.push(current.join("\n"));
|
||||
current = [];
|
||||
}
|
||||
current.push(line);
|
||||
}
|
||||
blocks.push(current.join("\n"));
|
||||
return blocks;
|
||||
}
|
||||
|
||||
function firstMatch(value: string, pattern: RegExp) {
|
||||
return pattern.exec(value)?.[1] || "";
|
||||
}
|
||||
|
||||
function extractMarkdownImages(baseUrl: string, markdown: string) {
|
||||
return Array.from(markdown.matchAll(/!\[[^\]]*]\(([^)]+)\)/g), (match) => absoluteImage(baseUrl, match[1])).filter(Boolean);
|
||||
}
|
||||
|
||||
function absoluteImage(baseUrl: string, image: string) {
|
||||
if (!image) return "";
|
||||
if (/^https?:\/\//i.test(image)) return image;
|
||||
return `${baseUrl}/${image.replace(/^\.?\//, "")}`;
|
||||
}
|
||||
|
||||
function tagsFromCategory(category: string) {
|
||||
return splitTags(category.replace(/\s+Cases$/i, ""), /\s*(?:&|and)\s*/);
|
||||
}
|
||||
|
||||
function tagsFromHeading(heading: string) {
|
||||
return splitTags(heading.replace(/[^\p{L}\p{N}/&、与 ]/gu, ""), /\s*(?:\/|&|、|与)\s*/);
|
||||
}
|
||||
|
||||
function youMindTags(title: string, modelTag: string) {
|
||||
const [, prefix] = title.match(/^(.+?) - /) || [];
|
||||
return [modelTag, ...tagsFromHeading(prefix || "")];
|
||||
}
|
||||
|
||||
function davidWuTags(item: { category_cn?: string; category?: string; author?: string; source?: string; needs_ref?: boolean }) {
|
||||
const tags = splitTags([item.category_cn, item.category, item.author, item.source].filter(Boolean).join("/"), /\//);
|
||||
if (item.needs_ref) tags.push("需要参考图");
|
||||
return tags;
|
||||
}
|
||||
|
||||
function splitTags(value: string, pattern: RegExp) {
|
||||
return value
|
||||
.split(pattern)
|
||||
.map((tag) => tag.trim().toLowerCase())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
function markdownPreview(images: string[]) {
|
||||
return images.filter(Boolean).map((image) => ``).join("\n\n");
|
||||
}
|
||||
|
||||
function collectTags(items: Prompt[]) {
|
||||
return Array.from(new Set(items.flatMap((item) => item.tags).filter(Boolean)));
|
||||
}
|
||||
|
||||
function leftPad(value: number) {
|
||||
return String(value).padStart(4, "0");
|
||||
}
|
||||
|
||||
function isActiveOption(value: string) {
|
||||
return value && value !== "全部" && value !== "all";
|
||||
}
|
||||
@@ -1,59 +0,0 @@
|
||||
import { NextRequest } from "next/server";
|
||||
|
||||
export const runtime = "nodejs";
|
||||
export const dynamic = "force-dynamic";
|
||||
|
||||
const WEBDAV_PROXY_TIMEOUT_MS = 120000;
|
||||
|
||||
export async function POST(request: NextRequest) {
|
||||
const target = request.headers.get("x-webdav-target") || "";
|
||||
const method = (request.headers.get("x-webdav-method") || "GET").toUpperCase();
|
||||
if (!target) return new Response("Missing x-webdav-target", { status: 400 });
|
||||
|
||||
let url: URL;
|
||||
try {
|
||||
url = new URL(target);
|
||||
} catch {
|
||||
return new Response("Invalid x-webdav-target", { status: 400 });
|
||||
}
|
||||
if (url.protocol !== "http:" && url.protocol !== "https:") return new Response("Unsupported WebDAV target", { status: 400 });
|
||||
|
||||
const headers = new Headers();
|
||||
copyHeader(request, headers, "x-webdav-authorization", "Authorization");
|
||||
copyHeader(request, headers, "x-webdav-depth", "Depth");
|
||||
copyHeader(request, headers, "x-webdav-destination", "Destination");
|
||||
copyHeader(request, headers, "x-webdav-overwrite", "Overwrite");
|
||||
copyHeader(request, headers, "x-webdav-content-type", "Content-Type");
|
||||
|
||||
const controller = new AbortController();
|
||||
const timer = setTimeout(() => controller.abort(), WEBDAV_PROXY_TIMEOUT_MS);
|
||||
try {
|
||||
const body = method === "GET" || method === "HEAD" ? undefined : await request.arrayBuffer();
|
||||
console.log(`[webdav-proxy] ${method} ${url.href} ${body?.byteLength || 0}B`);
|
||||
const response = await fetch(url, { method, headers, body: body?.byteLength ? body : undefined, signal: controller.signal });
|
||||
console.log(`[webdav-proxy] ${method} ${url.href} -> ${response.status}`);
|
||||
return new Response(method === "HEAD" ? null : response.body, {
|
||||
status: response.status,
|
||||
headers: responseHeaders(response.headers),
|
||||
});
|
||||
} catch (error) {
|
||||
if (error instanceof Error && error.name === "AbortError") return new Response("WebDAV proxy timeout", { status: 504 });
|
||||
return new Response(error instanceof Error ? error.message : "WebDAV proxy error", { status: 502 });
|
||||
} finally {
|
||||
clearTimeout(timer);
|
||||
}
|
||||
}
|
||||
|
||||
function copyHeader(request: NextRequest, headers: Headers, from: string, to: string) {
|
||||
const value = request.headers.get(from);
|
||||
if (value) headers.set(to, value);
|
||||
}
|
||||
|
||||
function responseHeaders(headers: Headers) {
|
||||
const result = new Headers();
|
||||
["content-type", "etag", "last-modified", "dav"].forEach((key) => {
|
||||
const value = headers.get(key);
|
||||
if (value) result.set(key, value);
|
||||
});
|
||||
return result;
|
||||
}
|
||||
@@ -1,6 +1,6 @@
|
||||
"use client";
|
||||
|
||||
import { App, Button, Form, Input, Modal, Progress, Segmented, Select, Tabs } from "antd";
|
||||
import { App, Button, Form, Input, Modal, Progress, Select, Tabs } from "antd";
|
||||
import { CircleAlert, Cloud, Plus, RefreshCw, Trash2, Wifi } from "lucide-react";
|
||||
import { useState } from "react";
|
||||
|
||||
@@ -385,22 +385,11 @@ export function AppConfigModal() {
|
||||
<Cloud className="size-4" />
|
||||
WebDAV 同步
|
||||
</div>
|
||||
<div className="mt-1 text-xs text-stone-500">同步画布、我的素材、生成记录和本地媒体文件，不包含 AI API Key；服务不支持 CORS 时可走 Next.js 转发。</div>
|
||||
<div className="mt-1 text-xs text-stone-500">同步画布、我的素材、生成记录和本地媒体文件，不包含 AI API Key；浏览器会直接连接 WebDAV 服务。</div>
|
||||
</div>
|
||||
<div className="text-xs text-stone-500">{webdav.lastSyncedAt ? `上次同步 ${formatWebdavTime(webdav.lastSyncedAt)}` : "尚未同步"}</div>
|
||||
</div>
|
||||
<div className="grid gap-4 md:grid-cols-2">
|
||||
<Form.Item label="连接方式" className="mb-4 md:col-span-2">
|
||||
<Segmented
|
||||
block
|
||||
value={webdav.proxyMode}
|
||||
onChange={(value) => updateWebdavConfig("proxyMode", value as typeof webdav.proxyMode)}
|
||||
options={[
|
||||
{ label: "前端直连", value: "direct" },
|
||||
{ label: "Next.js 转发", value: "nextjs" },
|
||||
]}
|
||||
/>
|
||||
</Form.Item>
|
||||
<Form.Item label="WebDAV 地址" className="mb-4">
|
||||
<Input value={webdav.url} placeholder="https://nas.example.com/webdav" onChange={(event) => updateWebdavConfig("url", event.target.value)} />
|
||||
</Form.Item>
|
||||
|
||||
+239
-12
@@ -1,4 +1,6 @@
|
||||
import { compactApiParams, serializeApiParams } from "@/services/api/request";
|
||||
"use client";
|
||||
|
||||
import localforage from "localforage";
|
||||
|
||||
export type Prompt = {
|
||||
id: string;
|
||||
@@ -13,6 +15,12 @@ export type Prompt = {
|
||||
updatedAt: string;
|
||||
};
|
||||
|
||||
type PromptCategory = {
|
||||
category: string;
|
||||
githubUrl: string;
|
||||
build: () => Promise<Omit<Prompt, "category" | "githubUrl">[]>;
|
||||
};
|
||||
|
||||
export const ALL_PROMPTS_OPTION = "全部";
|
||||
|
||||
export type PromptListResponse = {
|
||||
@@ -22,19 +30,238 @@ export type PromptListResponse = {
|
||||
total: number;
|
||||
};
|
||||
|
||||
export async function fetchPrompts({ keyword = "", tag = [], category = ALL_PROMPTS_OPTION, page, pageSize }: { keyword?: string; tag?: string[]; category?: string; page?: number; pageSize?: number } = {}) {
|
||||
const params = serializeApiParams(
|
||||
compactApiParams({
|
||||
...(keyword ? { keyword } : {}),
|
||||
...(tag.length ? { tag } : {}),
|
||||
...(category !== ALL_PROMPTS_OPTION ? { category } : {}),
|
||||
...(page ? { page } : {}),
|
||||
...(pageSize ? { pageSize } : {}),
|
||||
const gptImage2RawBase = "https://raw.githubusercontent.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts/main";
|
||||
const awesomeGptImageRawBase = "https://raw.githubusercontent.com/ZeroLu/awesome-gpt-image/main";
|
||||
const awesomeGpt4oImagePromptsBase = "https://raw.githubusercontent.com/ImgEdify/Awesome-GPT4o-Image-Prompts/main";
|
||||
const youMindGptImage2RawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-gpt-image-2/main";
|
||||
const youMindNanoBananaProRawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts/main";
|
||||
const davidWuGptImage2RawBase = "https://raw.githubusercontent.com/davidwuw0811-boop/awesome-gpt-image2-prompts/main";
|
||||
const gptImage2CaseFiles = ["README.md", "cases/ad-creative.md", "cases/character.md", "cases/comparison.md", "cases/ecommerce.md", "cases/portrait.md", "cases/poster.md", "cases/ui.md"];
|
||||
const cacheTtlMs = 1000 * 60 * 60;
|
||||
const promptCacheKey = "third-party-prompts";
|
||||
const promptCacheStore = localforage.createInstance({ name: "infinite-canvas", storeName: "prompt_cache" });
|
||||
|
||||
const categories: PromptCategory[] = [
|
||||
{ category: "gpt-image-2-prompts", githubUrl: "https://github.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts", build: buildGptImage2Prompts },
|
||||
{ category: "awesome-gpt-image", githubUrl: "https://github.com/ZeroLu/awesome-gpt-image", build: buildAwesomeGptImagePrompts },
|
||||
{ category: "awesome-gpt4o-image-prompts", githubUrl: "https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts", build: buildAwesomeGpt4oImagePrompts },
|
||||
{ category: "youmind-gpt-image-2", githubUrl: "https://github.com/YouMind-OpenLab/awesome-gpt-image-2", build: () => buildYouMindPrompts(youMindGptImage2RawBase, "youmind-gpt-image-2", "gpt-image-2") },
|
||||
{ category: "youmind-nano-banana-pro", githubUrl: "https://github.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts", build: () => buildYouMindPrompts(youMindNanoBananaProRawBase, "youmind-nano-banana-pro", "nano-banana-pro") },
|
||||
{ category: "davidwu-gpt-image2-prompts", githubUrl: "https://github.com/davidwuw0811-boop/awesome-gpt-image2-prompts", build: buildDavidWuGptImage2Prompts },
|
||||
];
|
||||
|
||||
let loadingPrompts: Promise<Prompt[]> | null = null;
|
||||
|
||||
export async function fetchPrompts({ keyword = "", tag = [], category = ALL_PROMPTS_OPTION, page = 1, pageSize = 20 }: { keyword?: string; tag?: string[]; category?: string; page?: number; pageSize?: number } = {}) {
|
||||
const items = await getPrompts();
|
||||
const normalizedKeyword = keyword.trim().toLowerCase();
|
||||
const normalizedPage = Math.max(1, page);
|
||||
const normalizedPageSize = Math.max(1, Math.min(100, pageSize));
|
||||
const withoutTagFilter = filterPrompts(items, { keyword: normalizedKeyword, category, tags: [] });
|
||||
const filtered = filterPrompts(items, { keyword: normalizedKeyword, category, tags: tag });
|
||||
|
||||
return {
|
||||
items: filtered.slice((normalizedPage - 1) * normalizedPageSize, normalizedPage * normalizedPageSize),
|
||||
tags: collectTags(withoutTagFilter),
|
||||
categories: categories.map((item) => item.category),
|
||||
total: filtered.length,
|
||||
};
|
||||
}
|
||||
|
||||
async function getPrompts() {
|
||||
const cached = await promptCacheStore.getItem<{ items?: Prompt[]; fetchedAt?: number }>(promptCacheKey);
|
||||
if (cached?.items?.length && cached.fetchedAt && Date.now() - cached.fetchedAt < cacheTtlMs) return cached.items;
|
||||
if (loadingPrompts) return loadingPrompts;
|
||||
loadingPrompts = loadPrompts().finally(() => {
|
||||
loadingPrompts = null;
|
||||
});
|
||||
return loadingPrompts;
|
||||
}
|
||||
|
||||
async function loadPrompts() {
|
||||
const settled = await Promise.all(
|
||||
categories.map(async (category) => {
|
||||
try {
|
||||
const items = await category.build();
|
||||
return items.map((item) => ({ ...item, category: category.category, githubUrl: category.githubUrl }));
|
||||
} catch {
|
||||
return [];
|
||||
}
|
||||
}),
|
||||
);
|
||||
const response = await fetch(`/api/prompts${params.size ? `?${params}` : ""}`);
|
||||
if (!response.ok) throw new Error("获取提示词失败");
|
||||
return (await response.json()) as PromptListResponse;
|
||||
const items = settled.flat();
|
||||
await promptCacheStore.setItem(promptCacheKey, { items, fetchedAt: Date.now() });
|
||||
return items;
|
||||
}
|
||||
|
||||
function filterPrompts(items: Prompt[], options: { keyword: string; category: string; tags: string[] }) {
|
||||
return items.filter((item) => {
|
||||
if (isActiveOption(options.category) && item.category !== options.category) return false;
|
||||
if (options.tags.length && !options.tags.some((tag) => item.tags.includes(tag))) return false;
|
||||
if (!options.keyword) return true;
|
||||
return [item.title, item.prompt, item.category, ...item.tags].join(" ").toLowerCase().includes(options.keyword);
|
||||
});
|
||||
}
|
||||
|
||||
async function buildGptImage2Prompts() {
|
||||
const data = (await fetchJson<{ records?: Array<{ title?: string; tweet_url?: string; image_dir?: string; category?: string; added_at?: string }> }>(gptImage2RawBase, "data/ingested_tweets.json")).records || [];
|
||||
const cases = new Map<string, string>();
|
||||
const markdowns = await Promise.all(gptImage2CaseFiles.map((file) => fetchText(gptImage2RawBase, file)));
|
||||
markdowns.forEach((markdown) => collectGptImage2Cases(cases, markdown));
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
data.forEach((item) => {
|
||||
const prompt = cases.get(item.tweet_url || "");
|
||||
if (!item.title || !prompt || !item.image_dir) return;
|
||||
const image = `${gptImage2RawBase}/${item.image_dir}/output.jpg`;
|
||||
items.push({ id: `gpt-image-2-prompts-${leftPad(items.length + 1)}`, title: item.title, coverUrl: image, prompt, tags: tagsFromCategory(item.category || ""), preview: markdownPreview([image]), createdAt: item.added_at || "", updatedAt: item.added_at || "" });
|
||||
});
|
||||
return items;
|
||||
}
|
||||
|
||||
function collectGptImage2Cases(cases: Map<string, string>, markdown: string) {
|
||||
for (const match of markdown.matchAll(/### Case \d+: \[[^\]]+]\(([^)]+)\).*?\*\*Prompt:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/gs)) {
|
||||
cases.set(match[1], match[2].trim());
|
||||
}
|
||||
}
|
||||
|
||||
async function buildAwesomeGptImagePrompts() {
|
||||
const markdown = await fetchText(awesomeGptImageRawBase, "README.zh-CN.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const section of splitBeforeHeading(markdown, "## ")) {
|
||||
const tags = tagsFromHeading(firstMatch(section, /^##\s+(.+)$/m));
|
||||
for (const block of splitBeforeHeading(section, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+(.+)$/m).replace(/\[([^\]]+)]\([^)]+\)/g, "$1").trim();
|
||||
const prompt = firstMatch(block, /\*\*提示词:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(awesomeGptImageRawBase, block);
|
||||
items.push(defaultPrompt(`awesome-gpt-image-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", tags, markdownPreview(images)));
|
||||
}
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildAwesomeGpt4oImagePrompts() {
|
||||
const markdown = await fetchText(awesomeGpt4oImagePromptsBase, "README.zh-CN.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const block of splitBeforeHeading(markdown, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+(.+)$/m).trim();
|
||||
const prompt = firstMatch(block, /- \*\*提示词文本：\*\*\s*`(.*?)`/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(awesomeGpt4oImagePromptsBase, block);
|
||||
items.push(defaultPrompt(`awesome-gpt4o-image-prompts-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", ["gpt4o"], markdownPreview(images)));
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildYouMindPrompts(baseUrl: string, idPrefix: string, modelTag: string) {
|
||||
const markdown = await fetchText(baseUrl, "README_zh.md");
|
||||
const items: Omit<Prompt, "category" | "githubUrl">[] = [];
|
||||
for (const block of splitBeforeHeading(markdown, "### ")) {
|
||||
const title = firstMatch(block, /^###\s+No\.\s*\d+:\s*(.+)$/m).trim();
|
||||
const prompt = firstMatch(block, /#### .*?提示词\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
|
||||
if (!title || !prompt) continue;
|
||||
const images = extractMarkdownImages(baseUrl, block);
|
||||
items.push(defaultPrompt(`${idPrefix}-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", youMindTags(title, modelTag), markdownPreview(images)));
|
||||
}
|
||||
return items;
|
||||
}
|
||||
|
||||
async function buildDavidWuGptImage2Prompts() {
|
||||
const data = await fetchJson<Array<{ id?: number; title_en?: string; title_cn?: string; category?: string; category_cn?: string; prompt?: string; note?: string; author?: string; source?: string; needs_ref?: boolean; image?: string }>>(davidWuGptImage2RawBase, "prompts.json");
|
||||
return data
|
||||
.map((item, index) => {
|
||||
const title = (item.title_cn || item.title_en || "").trim();
|
||||
const prompt = (item.prompt || "").trim();
|
||||
if (!title || !prompt) return null;
|
||||
const image = absoluteImage(davidWuGptImage2RawBase, item.image || "");
|
||||
const preview = [item.title_en, item.note, image ? `` : ""].filter(Boolean).join("\n\n");
|
||||
return defaultPrompt(`davidwu-gpt-image2-prompts-${leftPad(item.id || index + 1)}`, title, prompt, image, davidWuTags(item), preview);
|
||||
})
|
||||
.filter((item): item is Omit<Prompt, "category" | "githubUrl"> => Boolean(item));
|
||||
}
|
||||
|
||||
function defaultPrompt(id: string, title: string, prompt: string, coverUrl: string, tags: string[], preview: string): Omit<Prompt, "category" | "githubUrl"> {
|
||||
return { id, title, coverUrl, prompt, tags, preview, createdAt: "", updatedAt: "" };
|
||||
}
|
||||
|
||||
async function fetchText(baseUrl: string, file: string) {
|
||||
const response = await fetch(`${baseUrl}/${file}`, { cache: "no-store" });
|
||||
if (!response.ok) throw new Error(`${file} 拉取失败`);
|
||||
return response.text();
|
||||
}
|
||||
|
||||
async function fetchJson<T>(baseUrl: string, file: string) {
|
||||
return JSON.parse(await fetchText(baseUrl, file)) as T;
|
||||
}
|
||||
|
||||
function splitBeforeHeading(markdown: string, prefix: string) {
|
||||
const blocks: string[] = [];
|
||||
let current: string[] = [];
|
||||
for (const line of markdown.split("\n")) {
|
||||
if (line.startsWith(prefix) && current.length) {
|
||||
blocks.push(current.join("\n"));
|
||||
current = [];
|
||||
}
|
||||
current.push(line);
|
||||
}
|
||||
blocks.push(current.join("\n"));
|
||||
return blocks;
|
||||
}
|
||||
|
||||
function firstMatch(value: string, pattern: RegExp) {
|
||||
return pattern.exec(value)?.[1] || "";
|
||||
}
|
||||
|
||||
function extractMarkdownImages(baseUrl: string, markdown: string) {
|
||||
return Array.from(markdown.matchAll(/!\[[^\]]*]\(([^)]+)\)/g), (match) => absoluteImage(baseUrl, match[1])).filter(Boolean);
|
||||
}
|
||||
|
||||
function absoluteImage(baseUrl: string, image: string) {
|
||||
if (!image) return "";
|
||||
if (/^https?:\/\//i.test(image)) return image;
|
||||
return `${baseUrl}/${image.replace(/^\.?\//, "")}`;
|
||||
}
|
||||
|
||||
function tagsFromCategory(category: string) {
|
||||
return splitTags(category.replace(/\s+Cases$/i, ""), /\s*(?:&|and)\s*/);
|
||||
}
|
||||
|
||||
function tagsFromHeading(heading: string) {
|
||||
return splitTags(heading.replace(/[^\p{L}\p{N}/&、与 ]/gu, ""), /\s*(?:\/|&|、|与)\s*/);
|
||||
}
|
||||
|
||||
function youMindTags(title: string, modelTag: string) {
|
||||
const [, prefix] = title.match(/^(.+?) - /) || [];
|
||||
return [modelTag, ...tagsFromHeading(prefix || "")];
|
||||
}
|
||||
|
||||
function davidWuTags(item: { category_cn?: string; category?: string; author?: string; source?: string; needs_ref?: boolean }) {
|
||||
const tags = splitTags([item.category_cn, item.category, item.author, item.source].filter(Boolean).join("/"), /\//);
|
||||
if (item.needs_ref) tags.push("需要参考图");
|
||||
return tags;
|
||||
}
|
||||
|
||||
function splitTags(value: string, pattern: RegExp) {
|
||||
return value
|
||||
.split(pattern)
|
||||
.map((tag) => tag.trim().toLowerCase())
|
||||
.filter(Boolean);
|
||||
}
|
||||
|
||||
function markdownPreview(images: string[]) {
|
||||
return images.filter(Boolean).map((image) => ``).join("\n\n");
|
||||
}
|
||||
|
||||
function collectTags(items: Prompt[]) {
|
||||
return Array.from(new Set(items.flatMap((item) => item.tags).filter(Boolean)));
|
||||
}
|
||||
|
||||
function leftPad(value: number) {
|
||||
return String(value).padStart(4, "0");
|
||||
}
|
||||
|
||||
function isActiveOption(value: string) {
|
||||
return value && value !== "全部" && value !== "all";
|
||||
}
|
||||
|
||||
export function formatPromptDate(value: string) {
|
||||
|
||||
@@ -55,7 +55,7 @@ async function ensureWebdavSubdirectory(config: WebdavSyncConfig, path: string)
|
||||
|
||||
async function ensureWebdavDirectoryPath(config: WebdavSyncConfig, directory: string) {
|
||||
const parts = normalizePath(directory).split("/").filter(Boolean);
|
||||
const cacheKey = `${config.proxyMode}:${config.url}:${parts.join("/")}`;
|
||||
const cacheKey = `${config.url}:${parts.join("/")}`;
|
||||
if (ensuredDirectories.has(cacheKey)) return;
|
||||
let path = "";
|
||||
for (const part of parts) {
|
||||
@@ -79,10 +79,9 @@ async function webdavFetch(config: WebdavSyncConfig, path: string, init: Request
|
||||
const timer = window.setTimeout(() => controller.abort(), WEBDAV_REQUEST_TIMEOUT_MS);
|
||||
try {
|
||||
const url = buildWebdavUrl(config, path);
|
||||
if (config.proxyMode === "nextjs") return await fetch("/webdav-proxy", { method: "POST", headers: proxyHeaders(url, init.method || "GET", headers), body: proxyBody(init), signal: controller.signal });
|
||||
return await fetch(url, { ...init, headers, signal: controller.signal });
|
||||
} catch (error) {
|
||||
if (error instanceof Error && error.name === "AbortError") throw new Error("WebDAV 请求超时，请检查网络、代理或远端服务状态");
|
||||
if (error instanceof Error && error.name === "AbortError") throw new Error("WebDAV 请求超时，请检查网络或远端服务状态");
|
||||
if (error instanceof TypeError) throw new Error("无法连接 WebDAV，请检查地址、HTTPS 证书、CORS 或网络状态");
|
||||
throw error;
|
||||
} finally {
|
||||
@@ -90,32 +89,6 @@ async function webdavFetch(config: WebdavSyncConfig, path: string, init: Request
|
||||
}
|
||||
}
|
||||
|
||||
function proxyHeaders(target: string, method: string, headers: Headers) {
|
||||
const proxyHeaders = new Headers({
|
||||
"x-webdav-target": target,
|
||||
"x-webdav-method": method,
|
||||
});
|
||||
copyProxyHeader(headers, proxyHeaders, "Authorization", "x-webdav-authorization");
|
||||
copyProxyHeader(headers, proxyHeaders, "Depth", "x-webdav-depth");
|
||||
copyProxyHeader(headers, proxyHeaders, "Destination", "x-webdav-destination");
|
||||
copyProxyHeader(headers, proxyHeaders, "Overwrite", "x-webdav-overwrite");
|
||||
copyProxyHeader(headers, proxyHeaders, "Content-Type", "x-webdav-content-type");
|
||||
const contentType = headers.get("Content-Type");
|
||||
if (contentType) proxyHeaders.set("Content-Type", contentType);
|
||||
return proxyHeaders;
|
||||
}
|
||||
|
||||
function copyProxyHeader(from: Headers, to: Headers, source: string, target: string) {
|
||||
const value = from.get(source);
|
||||
if (value) to.set(target, value);
|
||||
}
|
||||
|
||||
function proxyBody(init: RequestInit) {
|
||||
const method = (init.method || "GET").toUpperCase();
|
||||
if (method === "GET" || method === "HEAD") return undefined;
|
||||
return init.body || undefined;
|
||||
}
|
||||
|
||||
function buildWebdavUrl(config: WebdavSyncConfig, path: string) {
|
||||
const baseUrl = config.url.trim().replace(/\/+$/, "");
|
||||
const remotePath = [normalizePath(config.directory), normalizePath(path)].filter(Boolean).join("/");
|
||||
|
||||
@@ -48,7 +48,6 @@ export type AiConfig = {
|
||||
};
|
||||
|
||||
export type WebdavSyncConfig = {
|
||||
proxyMode: "direct" | "nextjs";
|
||||
url: string;
|
||||
username: string;
|
||||
password: string;
|
||||
@@ -103,7 +102,6 @@ export const defaultConfig: AiConfig = {
|
||||
};
|
||||
|
||||
export const defaultWebdavSyncConfig: WebdavSyncConfig = {
|
||||
proxyMode: "direct",
|
||||
url: "",
|
||||
username: "",
|
||||
password: "",
|
||||
|
||||
Reference in New Issue
Block a user