mirror of
https://github.com/basketikun/infinite-canvas.git
synced 2026-08-02 23:11:14 +08:00
feat(docs): update documentation to reflect direct browser connections for third-party prompts and WebDAV
This commit is contained in:
HouYunFei
+239
-12
@@ -1,4 +1,6 @@
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import { compactApiParams, serializeApiParams } from "@/services/api/request";
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"use client";
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import localforage from "localforage";
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export type Prompt = {
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id: string;
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@@ -13,6 +15,12 @@ export type Prompt = {
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updatedAt: string;
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};
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type PromptCategory = {
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category: string;
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githubUrl: string;
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build: () => Promise<Omit<Prompt, "category" | "githubUrl">[]>;
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};
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export const ALL_PROMPTS_OPTION = "全部";
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export type PromptListResponse = {
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@@ -22,19 +30,238 @@ export type PromptListResponse = {
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total: number;
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};
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export async function fetchPrompts({ keyword = "", tag = [], category = ALL_PROMPTS_OPTION, page, pageSize }: { keyword?: string; tag?: string[]; category?: string; page?: number; pageSize?: number } = {}) {
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const params = serializeApiParams(
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compactApiParams({
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...(keyword ? { keyword } : {}),
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...(tag.length ? { tag } : {}),
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...(category !== ALL_PROMPTS_OPTION ? { category } : {}),
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...(page ? { page } : {}),
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...(pageSize ? { pageSize } : {}),
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const gptImage2RawBase = "https://raw.githubusercontent.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts/main";
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const awesomeGptImageRawBase = "https://raw.githubusercontent.com/ZeroLu/awesome-gpt-image/main";
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const awesomeGpt4oImagePromptsBase = "https://raw.githubusercontent.com/ImgEdify/Awesome-GPT4o-Image-Prompts/main";
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const youMindGptImage2RawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-gpt-image-2/main";
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const youMindNanoBananaProRawBase = "https://raw.githubusercontent.com/YouMind-OpenLab/awesome-nano-banana-pro-prompts/main";
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const davidWuGptImage2RawBase = "https://raw.githubusercontent.com/davidwuw0811-boop/awesome-gpt-image2-prompts/main";
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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"];
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const cacheTtlMs = 1000 * 60 * 60;
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const promptCacheKey = "third-party-prompts";
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const promptCacheStore = localforage.createInstance({ name: "infinite-canvas", storeName: "prompt_cache" });
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const categories: PromptCategory[] = [
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{ category: "gpt-image-2-prompts", githubUrl: "https://github.com/EvoLinkAI/awesome-gpt-image-2-API-and-Prompts", build: buildGptImage2Prompts },
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{ category: "awesome-gpt-image", githubUrl: "https://github.com/ZeroLu/awesome-gpt-image", build: buildAwesomeGptImagePrompts },
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{ category: "awesome-gpt4o-image-prompts", githubUrl: "https://github.com/ImgEdify/Awesome-GPT4o-Image-Prompts", build: buildAwesomeGpt4oImagePrompts },
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{ 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") },
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{ 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") },
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{ category: "davidwu-gpt-image2-prompts", githubUrl: "https://github.com/davidwuw0811-boop/awesome-gpt-image2-prompts", build: buildDavidWuGptImage2Prompts },
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];
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let loadingPrompts: Promise<Prompt[]> | null = null;
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export async function fetchPrompts({ keyword = "", tag = [], category = ALL_PROMPTS_OPTION, page = 1, pageSize = 20 }: { keyword?: string; tag?: string[]; category?: string; page?: number; pageSize?: number } = {}) {
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const items = await getPrompts();
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const normalizedKeyword = keyword.trim().toLowerCase();
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const normalizedPage = Math.max(1, page);
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const normalizedPageSize = Math.max(1, Math.min(100, pageSize));
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const withoutTagFilter = filterPrompts(items, { keyword: normalizedKeyword, category, tags: [] });
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const filtered = filterPrompts(items, { keyword: normalizedKeyword, category, tags: tag });
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return {
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items: filtered.slice((normalizedPage - 1) * normalizedPageSize, normalizedPage * normalizedPageSize),
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tags: collectTags(withoutTagFilter),
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categories: categories.map((item) => item.category),
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total: filtered.length,
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};
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}
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async function getPrompts() {
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const cached = await promptCacheStore.getItem<{ items?: Prompt[]; fetchedAt?: number }>(promptCacheKey);
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if (cached?.items?.length && cached.fetchedAt && Date.now() - cached.fetchedAt < cacheTtlMs) return cached.items;
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if (loadingPrompts) return loadingPrompts;
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loadingPrompts = loadPrompts().finally(() => {
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loadingPrompts = null;
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});
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return loadingPrompts;
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}
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async function loadPrompts() {
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const settled = await Promise.all(
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categories.map(async (category) => {
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try {
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const items = await category.build();
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return items.map((item) => ({ ...item, category: category.category, githubUrl: category.githubUrl }));
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} catch {
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return [];
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}
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}),
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);
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const response = await fetch(`/api/prompts${params.size ? `?${params}` : ""}`);
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if (!response.ok) throw new Error("获取提示词失败");
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return (await response.json()) as PromptListResponse;
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const items = settled.flat();
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await promptCacheStore.setItem(promptCacheKey, { items, fetchedAt: Date.now() });
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return items;
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}
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function filterPrompts(items: Prompt[], options: { keyword: string; category: string; tags: string[] }) {
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return items.filter((item) => {
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if (isActiveOption(options.category) && item.category !== options.category) return false;
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if (options.tags.length && !options.tags.some((tag) => item.tags.includes(tag))) return false;
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if (!options.keyword) return true;
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return [item.title, item.prompt, item.category, ...item.tags].join(" ").toLowerCase().includes(options.keyword);
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});
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}
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async function buildGptImage2Prompts() {
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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 || [];
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const cases = new Map<string, string>();
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const markdowns = await Promise.all(gptImage2CaseFiles.map((file) => fetchText(gptImage2RawBase, file)));
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markdowns.forEach((markdown) => collectGptImage2Cases(cases, markdown));
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const items: Omit<Prompt, "category" | "githubUrl">[] = [];
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data.forEach((item) => {
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const prompt = cases.get(item.tweet_url || "");
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if (!item.title || !prompt || !item.image_dir) return;
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const image = `${gptImage2RawBase}/${item.image_dir}/output.jpg`;
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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 || "" });
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});
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return items;
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}
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function collectGptImage2Cases(cases: Map<string, string>, markdown: string) {
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for (const match of markdown.matchAll(/### Case \d+: \[[^\]]+]\(([^)]+)\).*?\*\*Prompt:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/gs)) {
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cases.set(match[1], match[2].trim());
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}
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}
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async function buildAwesomeGptImagePrompts() {
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const markdown = await fetchText(awesomeGptImageRawBase, "README.zh-CN.md");
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const items: Omit<Prompt, "category" | "githubUrl">[] = [];
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for (const section of splitBeforeHeading(markdown, "## ")) {
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const tags = tagsFromHeading(firstMatch(section, /^##\s+(.+)$/m));
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for (const block of splitBeforeHeading(section, "### ")) {
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const title = firstMatch(block, /^###\s+(.+)$/m).replace(/\[([^\]]+)]\([^)]+\)/g, "$1").trim();
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const prompt = firstMatch(block, /\*\*提示词:\*\*\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
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if (!title || !prompt) continue;
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const images = extractMarkdownImages(awesomeGptImageRawBase, block);
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items.push(defaultPrompt(`awesome-gpt-image-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", tags, markdownPreview(images)));
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}
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}
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return items;
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}
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async function buildAwesomeGpt4oImagePrompts() {
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const markdown = await fetchText(awesomeGpt4oImagePromptsBase, "README.zh-CN.md");
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const items: Omit<Prompt, "category" | "githubUrl">[] = [];
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for (const block of splitBeforeHeading(markdown, "### ")) {
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const title = firstMatch(block, /^###\s+(.+)$/m).trim();
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const prompt = firstMatch(block, /- \*\*提示词文本：\*\*\s*`(.*?)`/s).trim();
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if (!title || !prompt) continue;
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const images = extractMarkdownImages(awesomeGpt4oImagePromptsBase, block);
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items.push(defaultPrompt(`awesome-gpt4o-image-prompts-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", ["gpt4o"], markdownPreview(images)));
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}
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return items;
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}
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async function buildYouMindPrompts(baseUrl: string, idPrefix: string, modelTag: string) {
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const markdown = await fetchText(baseUrl, "README_zh.md");
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const items: Omit<Prompt, "category" | "githubUrl">[] = [];
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for (const block of splitBeforeHeading(markdown, "### ")) {
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const title = firstMatch(block, /^###\s+No\.\s*\d+:\s*(.+)$/m).trim();
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const prompt = firstMatch(block, /#### .*?提示词\s*\r?\n\s*```[\w-]*\r?\n(.*?)\r?\n```/s).trim();
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if (!title || !prompt) continue;
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const images = extractMarkdownImages(baseUrl, block);
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items.push(defaultPrompt(`${idPrefix}-${leftPad(items.length + 1)}`, title, prompt, images[0] || "", youMindTags(title, modelTag), markdownPreview(images)));
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}
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return items;
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}
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async function buildDavidWuGptImage2Prompts() {
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const data = await fetchJson<Array<{ id?: number; title_en?: string; title_cn?: string; category?: string; category_cn?: string; prompt?: string; note?: string; author?: string; source?: string; needs_ref?: boolean; image?: string }>>(davidWuGptImage2RawBase, "prompts.json");
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return data
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.map((item, index) => {
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const title = (item.title_cn || item.title_en || "").trim();
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const prompt = (item.prompt || "").trim();
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if (!title || !prompt) return null;
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const image = absoluteImage(davidWuGptImage2RawBase, item.image || "");
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const preview = [item.title_en, item.note, image ? `` : ""].filter(Boolean).join("\n\n");
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return defaultPrompt(`davidwu-gpt-image2-prompts-${leftPad(item.id || index + 1)}`, title, prompt, image, davidWuTags(item), preview);
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})
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.filter((item): item is Omit<Prompt, "category" | "githubUrl"> => Boolean(item));
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}
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function defaultPrompt(id: string, title: string, prompt: string, coverUrl: string, tags: string[], preview: string): Omit<Prompt, "category" | "githubUrl"> {
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return { id, title, coverUrl, prompt, tags, preview, createdAt: "", updatedAt: "" };
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}
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async function fetchText(baseUrl: string, file: string) {
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const response = await fetch(`${baseUrl}/${file}`, { cache: "no-store" });
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if (!response.ok) throw new Error(`${file} 拉取失败`);
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return response.text();
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}
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async function fetchJson<T>(baseUrl: string, file: string) {
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return JSON.parse(await fetchText(baseUrl, file)) as T;
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}
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function splitBeforeHeading(markdown: string, prefix: string) {
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const blocks: string[] = [];
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let current: string[] = [];
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for (const line of markdown.split("\n")) {
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if (line.startsWith(prefix) && current.length) {
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blocks.push(current.join("\n"));
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current = [];
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}
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current.push(line);
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}
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blocks.push(current.join("\n"));
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return blocks;
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}
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function firstMatch(value: string, pattern: RegExp) {
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return pattern.exec(value)?.[1] || "";
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}
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function extractMarkdownImages(baseUrl: string, markdown: string) {
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return Array.from(markdown.matchAll(/!\[[^\]]*]\(([^)]+)\)/g), (match) => absoluteImage(baseUrl, match[1])).filter(Boolean);
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}
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function absoluteImage(baseUrl: string, image: string) {
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if (!image) return "";
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if (/^https?:\/\//i.test(image)) return image;
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return `${baseUrl}/${image.replace(/^\.?\//, "")}`;
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}
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function tagsFromCategory(category: string) {
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return splitTags(category.replace(/\s+Cases$/i, ""), /\s*(?:&|and)\s*/);
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}
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function tagsFromHeading(heading: string) {
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return splitTags(heading.replace(/[^\p{L}\p{N}/&、与 ]/gu, ""), /\s*(?:\/|&|、|与)\s*/);
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}
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function youMindTags(title: string, modelTag: string) {
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const [, prefix] = title.match(/^(.+?) - /) || [];
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return [modelTag, ...tagsFromHeading(prefix || "")];
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}
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function davidWuTags(item: { category_cn?: string; category?: string; author?: string; source?: string; needs_ref?: boolean }) {
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const tags = splitTags([item.category_cn, item.category, item.author, item.source].filter(Boolean).join("/"), /\//);
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if (item.needs_ref) tags.push("需要参考图");
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return tags;
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}
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function splitTags(value: string, pattern: RegExp) {
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return value
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.split(pattern)
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.map((tag) => tag.trim().toLowerCase())
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.filter(Boolean);
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}
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function markdownPreview(images: string[]) {
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return images.filter(Boolean).map((image) => ``).join("\n\n");
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}
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function collectTags(items: Prompt[]) {
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return Array.from(new Set(items.flatMap((item) => item.tags).filter(Boolean)));
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}
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function leftPad(value: number) {
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return String(value).padStart(4, "0");
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}
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function isActiveOption(value: string) {
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return value && value !== "全部" && value !== "all";
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}
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export function formatPromptDate(value: string) {
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