165 lines
5.5 KiB
TypeScript
165 lines
5.5 KiB
TypeScript
import { computed } from "vue";
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import { supportedLocales, defaultLocale } from "~/data/i18n";
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import { getContent } from "~/data/content";
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import type { LocaleCode } from "~/data/i18n";
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type PageSeoImage = {
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url: string;
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width?: number;
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height?: number;
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type?: string;
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alt?: string;
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};
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type PageSeoOptions = {
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type?: "website" | "article";
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robots?: string;
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image?: PageSeoImage;
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};
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export const usePageSeo = (titleKey: string, descriptionKey: string, options: PageSeoOptions = {}) => {
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const { t, locale } = useI18n();
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const route = useRoute();
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const config = useRuntimeConfig();
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const siteUrl = config.public.siteUrl || "https://example.com";
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const siteName = (config as any)?.site?.name || "Agent Teams";
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const switchLocale = useSwitchLocalePath();
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const title = computed(() => t(titleKey));
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const description = computed(() => t(descriptionKey));
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const canonicalPath = computed(() => route.path);
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const canonicalUrl = computed(() => `${siteUrl}${canonicalPath.value}`);
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const resolvedImage = computed<PageSeoImage>(() => {
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if (options.image) return options.image;
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return {
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url: "/og-image.png",
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width: 1200,
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height: 630,
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type: "image/png",
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alt: `${siteName} — AI agent orchestration`
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};
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});
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const resolvedImageUrl = computed(() => {
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// Если сборщик вернул относительный путь — сделаем абсолютный.
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const url = resolvedImage.value.url;
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return url.startsWith("http") ? url : new URL(url, siteUrl).toString();
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});
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useSeoMeta({
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title,
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description,
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ogTitle: title,
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ogDescription: description,
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ogType: options.type || "website",
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ogSiteName: siteName,
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ogUrl: canonicalUrl,
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ogImage: resolvedImageUrl,
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ogImageType: computed(() => resolvedImage.value.type) as any,
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ogImageWidth: computed(() => (resolvedImage.value.width ? String(resolvedImage.value.width) : undefined)),
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ogImageHeight: computed(() => (resolvedImage.value.height ? String(resolvedImage.value.height) : undefined)),
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ogImageAlt: computed(() => resolvedImage.value.alt),
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twitterCard: "summary_large_image",
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twitterTitle: title,
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twitterDescription: description,
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twitterImage: resolvedImageUrl,
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twitterImageAlt: computed(() => resolvedImage.value.alt),
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robots:
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options.robots ||
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"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1"
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});
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useHead(() => {
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const links: { rel: string; hreflang?: string; href: string }[] = supportedLocales.map((locale) => {
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const path = switchLocale(locale.code) || canonicalPath.value;
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return {
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rel: "alternate",
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hreflang: locale.code,
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href: `${siteUrl}${path}`
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};
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});
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const defaultPath = switchLocale(defaultLocale) || canonicalPath.value;
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links.push({ rel: "alternate", hreflang: "x-default", href: `${siteUrl}${defaultPath}` });
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links.push({ rel: "canonical", href: canonicalUrl.value });
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const jsonLd: any[] = [
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{
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"@context": "https://schema.org",
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"@type": "WebSite",
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name: siteName,
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url: siteUrl
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},
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{
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"@context": "https://schema.org",
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"@type": "Organization",
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name: siteName,
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url: siteUrl,
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logo: `${siteUrl}/favicon.ico`,
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sameAs: [
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`https://github.com/${config.public.githubRepo}`
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]
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}
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];
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// Для главной и страницы скачивания добавим более "вкусную" разметку.
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const isDownload = canonicalPath.value.endsWith("/download");
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const isHome = canonicalPath.value === "/";
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if (isHome || isDownload) {
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jsonLd.push({
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"@context": "https://schema.org",
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"@type": "SoftwareApplication",
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name: siteName,
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applicationCategory: "BusinessApplication",
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operatingSystem: "Windows, macOS, Linux",
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description: description.value,
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url: canonicalUrl.value,
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offers: {
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"@type": "Offer",
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price: "0",
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priceCurrency: "USD"
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},
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downloadUrl: config.public.githubReleasesUrl || `https://github.com/${config.public.githubRepo}/releases`
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});
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}
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// FAQ rich snippets — Google показывает их прямо в выдаче
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if (isHome) {
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const content = getContent(locale.value as LocaleCode);
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if (content.faq?.length) {
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jsonLd.push({
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"@context": "https://schema.org",
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"@type": "FAQPage",
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mainEntity: content.faq.map((item) => ({
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"@type": "Question",
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name: item.question,
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acceptedAnswer: {
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"@type": "Answer",
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// HTML-теги из ответа убираем для JSON-LD
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text: item.answer.replace(/<[^>]*>/g, "")
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}
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}))
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});
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}
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}
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return {
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htmlAttrs: { lang: locale.value || "en" },
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link: links,
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meta: [
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{ name: "author", content: "Agent Teams" },
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{ name: "application-name", content: siteName },
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{ name: "apple-mobile-web-app-title", content: siteName },
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{ name: "format-detection", content: "telephone=no" },
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{ name: "theme-color", content: "#00f0ff" },
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{ name: "keywords", content: "claude code, agent teams, AI agents, kanban board, code review, multi-agent orchestration, desktop app, free, open source" }
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],
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script: jsonLd.map((item) => ({
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type: "application/ld+json",
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children: JSON.stringify(item)
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}))
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};
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});
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};
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