feat: extract reusable @mintel/payload-ai package
This commit is contained in:
45
packages/payload-ai/package.json
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45
packages/payload-ai/package.json
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@@ -0,0 +1,45 @@
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{
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"name": "@mintel/payload-ai",
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"version": "1.0.0",
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"private": true,
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"description": "Reusable Payload CMS AI Extensions",
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"type": "module",
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"scripts": {
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"build": "tsc",
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"typecheck": "tsc --noEmit"
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},
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"main": "./dist/index.js",
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"types": "./dist/index.d.ts",
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"exports": {
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".": "./dist/index.js",
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"./components/*": "./dist/components/*",
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"./actions/*": "./dist/actions/*",
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"./globals/*": "./dist/globals/*",
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"./endpoints/*": "./dist/endpoints/*",
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"./utils/*": "./dist/utils/*"
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},
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"peerDependencies": {
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"@payloadcms/next": ">=3.0.0",
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"@payloadcms/ui": ">=3.0.0",
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"payload": ">=3.0.0",
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"react": ">=18.0.0",
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"react-dom": ">=18.0.0"
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},
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"dependencies": {
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"@mintel/content-engine": "workspace:*",
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"@mintel/thumbnail-generator": "workspace:*",
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"replicate": "^1.4.0"
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},
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"devDependencies": {
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"@payloadcms/next": "3.77.0",
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"@payloadcms/ui": "3.77.0",
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"payload": "3.77.0",
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"react": "^19.2.3",
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"react-dom": "^19.2.3",
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"@types/node": "^20.17.17",
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"@types/react": "^19.2.8",
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"@types/react-dom": "^19.2.3",
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"next": "^15.1.0",
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"typescript": "^5.7.3"
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}
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}
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190
packages/payload-ai/src/actions/generateField.ts
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190
packages/payload-ai/src/actions/generateField.ts
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@@ -0,0 +1,190 @@
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"use server";
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import { getPayloadHMR } from "@payloadcms/next/utilities";
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import configPromise from "@payload-config";
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import * as fs from "node:fs/promises";
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import * as path from "node:path";
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import * as os from "node:os";
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async function getOrchestrator() {
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const OPENROUTER_KEY =
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process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
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const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
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if (!OPENROUTER_KEY) {
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throw new Error(
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"Missing OPENROUTER_API_KEY in .env (Required for AI generation)",
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);
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}
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const importDynamic = new Function("modulePath", "return import(modulePath)");
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const { AiBlogPostOrchestrator } = await importDynamic(
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"@mintel/content-engine",
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);
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return new AiBlogPostOrchestrator({
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apiKey: OPENROUTER_KEY,
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replicateApiKey: REPLICATE_KEY,
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model: "google/gemini-3-flash-preview",
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});
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}
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export async function generateSlugAction(
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title: string,
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draftContent: string,
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oldSlug?: string,
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instructions?: string,
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) {
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try {
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const orchestrator = await getOrchestrator();
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const newSlug = await orchestrator.generateSlug(
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draftContent,
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title,
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instructions,
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);
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if (oldSlug && oldSlug !== newSlug) {
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const payload = await getPayloadHMR({ config: configPromise as any });
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await payload.create({
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collection: "redirects",
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data: {
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from: oldSlug,
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to: newSlug,
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},
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});
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}
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return { success: true, slug: newSlug };
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} catch (e: any) {
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return { success: false, error: e.message };
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}
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}
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export async function generateThumbnailAction(
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draftContent: string,
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title?: string,
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instructions?: string,
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) {
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try {
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const payload = await getPayloadHMR({ config: configPromise as any });
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const OPENROUTER_KEY =
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process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
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const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
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if (!OPENROUTER_KEY) {
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throw new Error("Missing OPENROUTER_API_KEY in .env");
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}
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if (!REPLICATE_KEY) {
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throw new Error(
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"Missing REPLICATE_API_KEY in .env (Required for Thumbnails)",
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);
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}
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const importDynamic = new Function(
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"modulePath",
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"return import(modulePath)",
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);
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const { AiBlogPostOrchestrator } = await importDynamic(
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"@mintel/content-engine",
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);
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const { ThumbnailGenerator } = await importDynamic(
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"@mintel/thumbnail-generator",
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);
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const orchestrator = new AiBlogPostOrchestrator({
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apiKey: OPENROUTER_KEY,
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replicateApiKey: REPLICATE_KEY,
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model: "google/gemini-3-flash-preview",
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});
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const tg = new ThumbnailGenerator({ replicateApiKey: REPLICATE_KEY });
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const prompt = await orchestrator.generateVisualPrompt(
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draftContent || title || "Technology",
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instructions,
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);
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const tmpPath = path.join(os.tmpdir(), `mintel-thumb-${Date.now()}.png`);
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await tg.generateImage(prompt, tmpPath);
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const fileData = await fs.readFile(tmpPath);
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const stat = await fs.stat(tmpPath);
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const fileName = path.basename(tmpPath);
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const newMedia = await payload.create({
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collection: "media",
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data: {
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alt: title ? `Thumbnail for ${title}` : "AI Generated Thumbnail",
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},
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file: {
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data: fileData,
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name: fileName,
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mimetype: "image/png",
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size: stat.size,
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},
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});
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// Cleanup temp file
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await fs.unlink(tmpPath).catch(() => { });
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return { success: true, mediaId: newMedia.id };
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} catch (e: any) {
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return { success: false, error: e.message };
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}
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}
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export async function generateSingleFieldAction(
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documentTitle: string,
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documentContent: string,
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fieldName: string,
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fieldDescription: string,
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instructions?: string,
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) {
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try {
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const OPENROUTER_KEY =
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process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
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if (!OPENROUTER_KEY) throw new Error("Missing OPENROUTER_API_KEY");
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const payload = await getPayloadHMR({ config: configPromise as any });
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// Fetch context documents from DB
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const contextDocsData = await payload.find({
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collection: "context-files",
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limit: 100,
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});
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const projectContext = contextDocsData.docs
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.map((doc: any) => `--- ${doc.filename} ---\n${doc.content}`)
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.join("\n\n");
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const prompt = `You are an expert AI assistant perfectly trained for generating exact data values for CMS components.
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PROJECT STRATEGY & CONTEXT:
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${projectContext}
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DOCUMENT TITLE: ${documentTitle}
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DOCUMENT DRAFT:\n${documentContent}\n
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YOUR TASK: Generate the exact value for a specific field named "${fieldName}".
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${fieldDescription ? `FIELD DESCRIPTION / CONSTRAINTS: ${fieldDescription}\n` : ""}
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${instructions ? `EDITOR INSTRUCTIONS for this field: ${instructions}\n` : ""}
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CRITICAL RULES:
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1. Respond ONLY with the requested content value.
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2. NO markdown wrapping blocks (like \`\`\`mermaid or \`\`\`html) around the output! Just the raw code or text.
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3. If the field implies a diagram or flow, output RAW Mermaid.js code.
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4. If it's standard text, write professional B2B German. No quotes, no conversational filler.`;
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const res = await fetch("https://openrouter.ai/api/v1/chat/completions", {
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method: "POST",
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headers: {
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Authorization: `Bearer ${OPENROUTER_KEY}`,
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"Content-Type": "application/json",
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},
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body: JSON.stringify({
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model: "google/gemini-3-flash-preview",
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messages: [{ role: "user", content: prompt }],
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}),
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});
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const data = await res.json();
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const text = data.choices?.[0]?.message?.content?.trim() || "";
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return { success: true, text };
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} catch (e: any) {
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return { success: false, error: e.message };
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}
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}
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83
packages/payload-ai/src/actions/optimizePost.ts
Normal file
83
packages/payload-ai/src/actions/optimizePost.ts
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@@ -0,0 +1,83 @@
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"use server";
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import { parseMarkdownToLexical } from "../utils/lexicalParser";
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import { getPayloadHMR } from "@payloadcms/next/utilities";
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import configPromise from "@payload-config";
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export async function optimizePostText(
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draftContent: string,
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instructions?: string,
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) {
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try {
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const payload = await getPayloadHMR({ config: configPromise as any });
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const globalAiSettings = (await payload.findGlobal({ slug: "ai-settings" })) as any;
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const customSources =
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globalAiSettings?.customSources?.map((s: any) => s.sourceName) || [];
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const OPENROUTER_KEY =
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process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
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const REPLICATE_KEY = process.env.REPLICATE_API_KEY;
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if (!OPENROUTER_KEY) {
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throw new Error(
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"OPENROUTER_KEY or OPENROUTER_API_KEY not found in environment.",
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);
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}
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const importDynamic = new Function(
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"modulePath",
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"return import(modulePath)",
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);
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const { AiBlogPostOrchestrator } = await importDynamic(
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"@mintel/content-engine",
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);
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const orchestrator = new AiBlogPostOrchestrator({
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apiKey: OPENROUTER_KEY,
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replicateApiKey: REPLICATE_KEY,
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model: "google/gemini-3-flash-preview",
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});
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// Fetch context documents purely from DB
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const contextDocsData = await payload.find({
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collection: "context-files",
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limit: 100,
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});
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const projectContext = contextDocsData.docs.map((doc: any) => doc.content);
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const optimizedMarkdown = await orchestrator.optimizeDocument({
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content: draftContent,
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projectContext,
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availableComponents: [], // Removed hardcoded config.components dependency
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instructions,
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internalLinks: [],
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customSources,
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});
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if (!optimizedMarkdown || typeof optimizedMarkdown !== "string") {
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throw new Error("AI returned invalid markup.");
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}
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const blocks = parseMarkdownToLexical(optimizedMarkdown);
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return {
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success: true,
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lexicalAST: {
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root: {
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type: "root",
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format: "",
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indent: 0,
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version: 1,
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children: blocks,
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direction: "ltr",
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},
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},
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};
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} catch (error: any) {
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console.error("Failed to optimize post:", error);
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return {
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success: false,
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error: error.message || "An unknown error occurred during optimization.",
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};
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}
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}
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163
packages/payload-ai/src/components/AiMediaButtons.tsx
Normal file
163
packages/payload-ai/src/components/AiMediaButtons.tsx
Normal file
@@ -0,0 +1,163 @@
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"use client";
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import React, { useState } from "react";
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import { useDocumentInfo, toast } from "@payloadcms/ui";
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type Action = "upscale" | "recover";
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interface ActionState {
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loading: boolean;
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resultId?: string | number;
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}
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export const AiMediaButtons: React.FC = () => {
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const { id } = useDocumentInfo();
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const [upscale, setUpscale] = useState<ActionState>({ loading: false });
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const [recover, setRecover] = useState<ActionState>({ loading: false });
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if (!id) return null; // Only show on existing documents
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const runAction = async (action: Action) => {
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const setter = action === "upscale" ? setUpscale : setRecover;
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setter({ loading: true });
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const label = action === "upscale" ? "AI Upscale" : "AI Recover";
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toast.info(
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`${label} started – this can take 30–90 seconds, please wait…`,
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);
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try {
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// The API path is hardcoded here and assuming that's where the host app registers the endpoint.
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const response = await fetch(`/api/media/${id}/ai-process`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ action }),
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});
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const result = await response.json();
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if (!response.ok) {
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throw new Error(result.error || `${label} failed`);
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}
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setter({ loading: false, resultId: result.mediaId });
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toast.success(
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`✅ ${label} erfolgreich! Neues Bild (ID: ${result.mediaId}) wurde gespeichert.`,
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);
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} catch (err: any) {
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console.error(`[AiMediaButtons] ${action} error:`, err);
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toast.error(
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err instanceof Error ? err.message : `${label} fehlgeschlagen`,
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);
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setter({ loading: false });
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}
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};
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const buttonStyle: React.CSSProperties = {
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background: "var(--theme-elevation-150)",
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border: "1px solid var(--theme-elevation-200)",
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color: "var(--theme-text)",
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padding: "8px 14px",
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borderRadius: "4px",
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fontSize: "13px",
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fontWeight: 500,
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display: "inline-flex",
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alignItems: "center",
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gap: "6px",
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transition: "opacity 0.15s ease",
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};
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const disabledStyle: React.CSSProperties = {
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opacity: 0.55,
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cursor: "not-allowed",
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};
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return (
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<div
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style={{
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display: "flex",
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flexWrap: "wrap",
|
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gap: "10px",
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marginBottom: "1.5rem",
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marginTop: "0.5rem",
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}}
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>
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{/* AI Upscale */}
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<div style={{ display: "flex", flexDirection: "column", gap: "6px" }}>
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<button
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type="button"
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||||
disabled={upscale.loading || recover.loading}
|
||||
onClick={() => runAction("upscale")}
|
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style={{
|
||||
...buttonStyle,
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...(upscale.loading || recover.loading ? disabledStyle : { cursor: "pointer" }),
|
||||
}}
|
||||
>
|
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{upscale.loading ? "⏳ AI Upscale läuft…" : "✨ AI Upscale"}
|
||||
</button>
|
||||
{upscale.resultId && (
|
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<a
|
||||
href={`/admin/collections/media/${upscale.resultId}`}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
style={{
|
||||
fontSize: "12px",
|
||||
color: "var(--theme-elevation-500)",
|
||||
textDecoration: "underline",
|
||||
}}
|
||||
>
|
||||
→ Neues Bild öffnen (ID: {upscale.resultId})
|
||||
</a>
|
||||
)}
|
||||
</div>
|
||||
|
||||
{/* AI Recover */}
|
||||
<div style={{ display: "flex", flexDirection: "column", gap: "6px" }}>
|
||||
<button
|
||||
type="button"
|
||||
disabled={upscale.loading || recover.loading}
|
||||
onClick={() => runAction("recover")}
|
||||
style={{
|
||||
...buttonStyle,
|
||||
...(upscale.loading || recover.loading ? disabledStyle : { cursor: "pointer" }),
|
||||
}}
|
||||
>
|
||||
{recover.loading ? "⏳ AI Recover läuft…" : "🔄 AI Recover"}
|
||||
</button>
|
||||
{recover.resultId && (
|
||||
<a
|
||||
href={`/admin/collections/media/${recover.resultId}`}
|
||||
target="_blank"
|
||||
rel="noopener noreferrer"
|
||||
style={{
|
||||
fontSize: "12px",
|
||||
color: "var(--theme-elevation-500)",
|
||||
textDecoration: "underline",
|
||||
}}
|
||||
>
|
||||
→ Neues Bild öffnen (ID: {recover.resultId})
|
||||
</a>
|
||||
)}
|
||||
</div>
|
||||
|
||||
<p
|
||||
style={{
|
||||
width: "100%",
|
||||
fontSize: "0.8rem",
|
||||
color: "var(--theme-elevation-500)",
|
||||
margin: 0,
|
||||
lineHeight: 1.4,
|
||||
}}
|
||||
>
|
||||
<strong>AI Upscale</strong> verbessert die Auflösung via{" "}
|
||||
<code>google/upscaler</code>. <strong>AI Recover</strong> restauriert
|
||||
alte/beschädigte Fotos via{" "}
|
||||
<code>microsoft/bringing-old-photos-back-to-life</code>. Das
|
||||
Ergebnis wird als neues Medium gespeichert.
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
};
|
||||
@@ -0,0 +1,136 @@
|
||||
"use client";
|
||||
|
||||
import React, { useState } from "react";
|
||||
import { useField, useDocumentInfo, useForm } from "@payloadcms/ui";
|
||||
import { generateSingleFieldAction } from "../../actions/generateField.js";
|
||||
|
||||
export function AiFieldButton({ path, field }: { path: string; field: any }) {
|
||||
const [isGenerating, setIsGenerating] = useState(false);
|
||||
const [instructions, setInstructions] = useState("");
|
||||
const [showInstructions, setShowInstructions] = useState(false);
|
||||
|
||||
// Payload hooks
|
||||
const { value, setValue } = useField<string>({ path });
|
||||
const { title } = useDocumentInfo();
|
||||
const { fields } = useForm();
|
||||
|
||||
const extractText = (lexicalRoot: any): string => {
|
||||
if (!lexicalRoot) return "";
|
||||
let text = "";
|
||||
const iterate = (node: any) => {
|
||||
if (node.text) text += node.text + " ";
|
||||
if (node.children) node.children.forEach(iterate);
|
||||
};
|
||||
iterate(lexicalRoot);
|
||||
return text;
|
||||
};
|
||||
|
||||
const handleGenerate = async (e: React.MouseEvent) => {
|
||||
e.preventDefault();
|
||||
|
||||
const lexicalValue = fields?.content?.value as any;
|
||||
const legacyValue = fields?.legacyMdx?.value as string;
|
||||
let draftContent = legacyValue || "";
|
||||
if (!draftContent && lexicalValue?.root) {
|
||||
draftContent = extractText(lexicalValue.root);
|
||||
}
|
||||
|
||||
setIsGenerating(true);
|
||||
try {
|
||||
// Field name is passed as a label usually, fallback to path
|
||||
const fieldName = typeof field?.label === "string" ? field.label : path;
|
||||
const fieldDescription =
|
||||
typeof field?.admin?.description === "string"
|
||||
? field.admin.description
|
||||
: "";
|
||||
|
||||
const res = await generateSingleFieldAction(
|
||||
(title as string) || "",
|
||||
draftContent,
|
||||
fieldName,
|
||||
fieldDescription,
|
||||
instructions,
|
||||
);
|
||||
if (res.success && res.text) {
|
||||
setValue(res.text);
|
||||
} else {
|
||||
alert("Fehler: " + res.error);
|
||||
}
|
||||
} catch (e) {
|
||||
alert("Fehler bei der Generierung.");
|
||||
} finally {
|
||||
setIsGenerating(false);
|
||||
setShowInstructions(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div
|
||||
style={{
|
||||
marginTop: "8px",
|
||||
marginBottom: "8px",
|
||||
display: "flex",
|
||||
flexDirection: "column",
|
||||
gap: "8px",
|
||||
}}
|
||||
>
|
||||
<div style={{ display: "flex", gap: "8px", alignItems: "center" }}>
|
||||
<button
|
||||
type="button"
|
||||
onClick={handleGenerate}
|
||||
disabled={isGenerating}
|
||||
style={{
|
||||
background: "var(--theme-elevation-150)",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
color: "var(--theme-text)",
|
||||
padding: "4px 12px",
|
||||
borderRadius: "4px",
|
||||
fontSize: "12px",
|
||||
cursor: isGenerating ? "not-allowed" : "pointer",
|
||||
display: "flex",
|
||||
alignItems: "center",
|
||||
gap: "6px",
|
||||
opacity: isGenerating ? 0.6 : 1,
|
||||
}}
|
||||
>
|
||||
{isGenerating ? "✨ AI arbeitet..." : "✨ AI Ausfüllen"}
|
||||
</button>
|
||||
<button
|
||||
type="button"
|
||||
onClick={(e) => {
|
||||
e.preventDefault();
|
||||
setShowInstructions(!showInstructions);
|
||||
}}
|
||||
style={{
|
||||
background: "transparent",
|
||||
border: "none",
|
||||
color: "var(--theme-elevation-500)",
|
||||
fontSize: "12px",
|
||||
cursor: "pointer",
|
||||
textDecoration: "underline",
|
||||
}}
|
||||
>
|
||||
{showInstructions ? "Prompt verbergen" : "Mit Prompt..."}
|
||||
</button>
|
||||
</div>
|
||||
{showInstructions && (
|
||||
<textarea
|
||||
value={instructions}
|
||||
onChange={(e) => setInstructions(e.target.value)}
|
||||
placeholder="Eigene Anweisung an AI (z.B. 'als catchy slogan')"
|
||||
disabled={isGenerating}
|
||||
style={{
|
||||
width: "100%",
|
||||
padding: "6px 8px",
|
||||
fontSize: "12px",
|
||||
borderRadius: "4px",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
background: "var(--theme-elevation-50)",
|
||||
color: "var(--theme-text)",
|
||||
}}
|
||||
rows={2}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,107 @@
|
||||
"use client";
|
||||
|
||||
import React, { useState, useEffect } from "react";
|
||||
import { useForm, useField } from "@payloadcms/ui";
|
||||
import { generateSlugAction } from "../../actions/generateField.js";
|
||||
|
||||
export function GenerateSlugButton({ path }: { path: string }) {
|
||||
const [isGenerating, setIsGenerating] = useState(false);
|
||||
const [instructions, setInstructions] = useState("");
|
||||
|
||||
useEffect(() => {
|
||||
if (!isGenerating) return;
|
||||
const handleBeforeUnload = (e: BeforeUnloadEvent) => {
|
||||
e.preventDefault();
|
||||
e.returnValue =
|
||||
"Slug-Generierung läuft noch. Wenn Sie neu laden, bricht der Vorgang ab!";
|
||||
};
|
||||
window.addEventListener("beforeunload", handleBeforeUnload);
|
||||
return () => window.removeEventListener("beforeunload", handleBeforeUnload);
|
||||
}, [isGenerating]);
|
||||
|
||||
const { fields, replaceState } = useForm();
|
||||
const { value, initialValue, setValue } = useField({ path });
|
||||
|
||||
const extractText = (lexicalRoot: any): string => {
|
||||
if (!lexicalRoot) return "";
|
||||
let text = "";
|
||||
const iterate = (node: any) => {
|
||||
if (node.text) text += node.text + " ";
|
||||
if (node.children) node.children.forEach(iterate);
|
||||
};
|
||||
iterate(lexicalRoot);
|
||||
return text;
|
||||
};
|
||||
|
||||
const handleGenerate = async () => {
|
||||
const title = (fields?.title?.value as string) || "";
|
||||
const lexicalValue = fields?.content?.value as any;
|
||||
const legacyValue = fields?.legacyMdx?.value as string;
|
||||
|
||||
let draftContent = legacyValue || "";
|
||||
if (!draftContent && lexicalValue?.root) {
|
||||
draftContent = extractText(lexicalValue.root);
|
||||
}
|
||||
|
||||
setIsGenerating(true);
|
||||
try {
|
||||
const res = await generateSlugAction(
|
||||
title,
|
||||
draftContent,
|
||||
initialValue as string,
|
||||
instructions,
|
||||
);
|
||||
if (res.success && res.slug) {
|
||||
setValue(res.slug);
|
||||
} else {
|
||||
alert("Fehler: " + res.error);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
alert("Unerwarteter Fehler.");
|
||||
} finally {
|
||||
setIsGenerating(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="flex gap-2 items-center mb-4">
|
||||
<textarea
|
||||
value={instructions}
|
||||
onChange={(e) => setInstructions(e.target.value)}
|
||||
placeholder="Optionale AI Anweisung für den Slug..."
|
||||
disabled={isGenerating}
|
||||
style={{
|
||||
width: "100%",
|
||||
minHeight: "40px",
|
||||
padding: "8px 12px",
|
||||
fontSize: "14px",
|
||||
borderRadius: "4px",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
background: "var(--theme-elevation-50)",
|
||||
color: "var(--theme-text)",
|
||||
marginBottom: "8px",
|
||||
}}
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
onClick={handleGenerate}
|
||||
disabled={isGenerating}
|
||||
className="btn btn--icon-style-none btn--size-medium ml-auto"
|
||||
style={{
|
||||
background: "var(--theme-elevation-150)",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
color: "var(--theme-text)",
|
||||
boxShadow: "0 2px 4px rgba(0,0,0,0.05)",
|
||||
transition: "all 0.2s ease",
|
||||
opacity: isGenerating ? 0.6 : 1,
|
||||
cursor: isGenerating ? "not-allowed" : "pointer",
|
||||
}}
|
||||
>
|
||||
<span className="btn__content">
|
||||
{isGenerating ? "✨ Generiere (ca 10s)..." : "✨ AI Slug Generieren"}
|
||||
</span>
|
||||
</button>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
@@ -0,0 +1,108 @@
|
||||
"use client";
|
||||
|
||||
import React, { useState, useEffect } from "react";
|
||||
import { useForm, useField } from "@payloadcms/ui";
|
||||
import { generateThumbnailAction } from "../../actions/generateField.js";
|
||||
|
||||
export function GenerateThumbnailButton({ path }: { path: string }) {
|
||||
const [isGenerating, setIsGenerating] = useState(false);
|
||||
const [instructions, setInstructions] = useState("");
|
||||
|
||||
useEffect(() => {
|
||||
if (!isGenerating) return;
|
||||
const handleBeforeUnload = (e: BeforeUnloadEvent) => {
|
||||
e.preventDefault();
|
||||
e.returnValue =
|
||||
"Bild-Generierung läuft noch (dies dauert bis zu 2 Minuten). Wenn Sie neu laden, bricht der Vorgang ab!";
|
||||
};
|
||||
window.addEventListener("beforeunload", handleBeforeUnload);
|
||||
return () => window.removeEventListener("beforeunload", handleBeforeUnload);
|
||||
}, [isGenerating]);
|
||||
|
||||
const { fields } = useForm();
|
||||
const { value, setValue } = useField({ path });
|
||||
|
||||
const extractText = (lexicalRoot: any): string => {
|
||||
if (!lexicalRoot) return "";
|
||||
let text = "";
|
||||
const iterate = (node: any) => {
|
||||
if (node.text) text += node.text + " ";
|
||||
if (node.children) node.children.forEach(iterate);
|
||||
};
|
||||
iterate(lexicalRoot);
|
||||
return text;
|
||||
};
|
||||
|
||||
const handleGenerate = async () => {
|
||||
const title = (fields?.title?.value as string) || "";
|
||||
const lexicalValue = fields?.content?.value as any;
|
||||
const legacyValue = fields?.legacyMdx?.value as string;
|
||||
|
||||
let draftContent = legacyValue || "";
|
||||
if (!draftContent && lexicalValue?.root) {
|
||||
draftContent = extractText(lexicalValue.root);
|
||||
}
|
||||
|
||||
setIsGenerating(true);
|
||||
try {
|
||||
const res = await generateThumbnailAction(
|
||||
draftContent,
|
||||
title,
|
||||
instructions,
|
||||
);
|
||||
if (res.success && res.mediaId) {
|
||||
setValue(res.mediaId);
|
||||
} else {
|
||||
alert("Fehler: " + res.error);
|
||||
}
|
||||
} catch (e) {
|
||||
console.error(e);
|
||||
alert("Unerwarteter Fehler.");
|
||||
} finally {
|
||||
setIsGenerating(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="flex gap-2 items-center mt-2 mb-4">
|
||||
<textarea
|
||||
value={instructions}
|
||||
onChange={(e) => setInstructions(e.target.value)}
|
||||
placeholder="Optionale Thumbnail-Detailanweisung (Farben, Stimmung, etc.)..."
|
||||
disabled={isGenerating}
|
||||
style={{
|
||||
width: "100%",
|
||||
minHeight: "40px",
|
||||
padding: "8px 12px",
|
||||
fontSize: "14px",
|
||||
borderRadius: "4px",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
background: "var(--theme-elevation-50)",
|
||||
color: "var(--theme-text)",
|
||||
marginBottom: "8px",
|
||||
}}
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
onClick={handleGenerate}
|
||||
disabled={isGenerating}
|
||||
className="btn btn--icon-style-none btn--size-medium"
|
||||
style={{
|
||||
background: "var(--theme-elevation-150)",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
color: "var(--theme-text)",
|
||||
boxShadow: "0 2px 4px rgba(0,0,0,0.05)",
|
||||
transition: "all 0.2s ease",
|
||||
opacity: isGenerating ? 0.6 : 1,
|
||||
cursor: isGenerating ? "not-allowed" : "pointer",
|
||||
}}
|
||||
>
|
||||
<span className="btn__content">
|
||||
{isGenerating
|
||||
? "✨ AI arbeitet (dauert ca. 1-2 Min)..."
|
||||
: "✨ AI Thumbnail Generieren"}
|
||||
</span>
|
||||
</button>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
136
packages/payload-ai/src/components/OptimizeButton.tsx
Normal file
136
packages/payload-ai/src/components/OptimizeButton.tsx
Normal file
@@ -0,0 +1,136 @@
|
||||
"use client";
|
||||
|
||||
import React, { useState, useEffect } from "react";
|
||||
import { useForm, useDocumentInfo } from "@payloadcms/ui";
|
||||
import { optimizePostText } from "../actions/optimizePost.js";
|
||||
import { Button } from "@payloadcms/ui";
|
||||
|
||||
export function OptimizeButton() {
|
||||
const [isOptimizing, setIsOptimizing] = useState(false);
|
||||
const [instructions, setInstructions] = useState("");
|
||||
|
||||
useEffect(() => {
|
||||
if (!isOptimizing) return;
|
||||
const handleBeforeUnload = (e: BeforeUnloadEvent) => {
|
||||
e.preventDefault();
|
||||
e.returnValue =
|
||||
"Lexical Block-Optimierung läuft noch (dies dauert bis zu 45 Sekunden). Wenn Sie neu laden, bricht der Vorgang ab!";
|
||||
};
|
||||
window.addEventListener("beforeunload", handleBeforeUnload);
|
||||
return () => window.removeEventListener("beforeunload", handleBeforeUnload);
|
||||
}, [isOptimizing]);
|
||||
|
||||
const { fields, setModified, replaceState } = useForm();
|
||||
const { title } = useDocumentInfo();
|
||||
|
||||
const handleOptimize = async () => {
|
||||
// ... gathering draftContent logic
|
||||
const lexicalValue = fields?.content?.value as any;
|
||||
const legacyValue = fields?.legacyMdx?.value as string;
|
||||
|
||||
let draftContent = legacyValue || "";
|
||||
|
||||
const extractText = (lexicalRoot: any): string => {
|
||||
if (!lexicalRoot) return "";
|
||||
let text = "";
|
||||
const iterate = (node: any) => {
|
||||
if (node.text) text += node.text + " ";
|
||||
if (node.children) node.children.forEach(iterate);
|
||||
};
|
||||
iterate(lexicalRoot);
|
||||
return text;
|
||||
};
|
||||
|
||||
if (!draftContent && lexicalValue?.root) {
|
||||
draftContent = extractText(lexicalValue.root);
|
||||
}
|
||||
|
||||
if (!draftContent || draftContent.trim().length < 50) {
|
||||
alert(
|
||||
"Der Entwurf ist zu kurz. Bitte tippe zuerst ein paar Stichpunkte oder einen Rohling ein.",
|
||||
);
|
||||
return;
|
||||
}
|
||||
|
||||
setIsOptimizing(true);
|
||||
try {
|
||||
// 2. We inject the title so the AI knows what it's writing about
|
||||
const payloadText = `---\ntitle: "${title}"\n---\n\n${draftContent}`;
|
||||
|
||||
const response = await optimizePostText(payloadText, instructions);
|
||||
|
||||
if (response.success && response.lexicalAST) {
|
||||
// 3. Inject the new Lexical AST directly into the field form state
|
||||
// We use Payload's useForm hook replacing the value of the 'content' field.
|
||||
|
||||
replaceState({
|
||||
...fields,
|
||||
content: {
|
||||
...fields.content,
|
||||
value: response.lexicalAST,
|
||||
initialValue: response.lexicalAST,
|
||||
},
|
||||
});
|
||||
|
||||
setModified(true);
|
||||
alert(
|
||||
"🎉 Artikel wurde erfolgreich von der AI optimiert und mit Lexical Components angereichert.",
|
||||
);
|
||||
} else {
|
||||
alert("❌ Fehler: " + response.error);
|
||||
}
|
||||
} catch (error) {
|
||||
console.error("Optimization failed:", error);
|
||||
alert("Ein unerwarteter Fehler ist aufgetreten.");
|
||||
} finally {
|
||||
setIsOptimizing(false);
|
||||
}
|
||||
};
|
||||
|
||||
return (
|
||||
<div className="mb-8 p-4 bg-slate-50 border border-slate-200 rounded-md">
|
||||
<h3 className="text-sm font-semibold mb-2">AI Post Optimizer</h3>
|
||||
<p className="text-xs text-slate-500 mb-4">
|
||||
Lass Mintel AI deinen Text-Rohentwurf analysieren und automatisch in
|
||||
einen voll formatierten Lexical Artikel mit passenden B2B Komponenten
|
||||
(MemeCards, Mermaids) umwandeln.
|
||||
</p>
|
||||
<textarea
|
||||
value={instructions}
|
||||
onChange={(e) => setInstructions(e.target.value)}
|
||||
placeholder="Optionale Anweisungen an die AI (z.B. 'schreibe etwas lockerer' oder 'fokussiere dich auf SEO')..."
|
||||
disabled={isOptimizing}
|
||||
style={{
|
||||
width: "100%",
|
||||
minHeight: "60px",
|
||||
padding: "8px 12px",
|
||||
fontSize: "14px",
|
||||
borderRadius: "4px",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
background: "var(--theme-elevation-50)",
|
||||
color: "var(--theme-text)",
|
||||
marginBottom: "16px",
|
||||
}}
|
||||
/>
|
||||
<button
|
||||
type="button"
|
||||
onClick={handleOptimize}
|
||||
disabled={isOptimizing}
|
||||
className="btn btn--icon-style-none btn--size-medium mt-4"
|
||||
style={{
|
||||
background: "var(--theme-elevation-150)",
|
||||
border: "1px solid var(--theme-elevation-200)",
|
||||
color: "var(--theme-text)",
|
||||
boxShadow: "0 2px 4px rgba(0,0,0,0.05)",
|
||||
transition: "all 0.2s ease",
|
||||
opacity: isOptimizing ? 0.7 : 1,
|
||||
cursor: isOptimizing ? "not-allowed" : "pointer",
|
||||
}}
|
||||
>
|
||||
<span className="btn__content" style={{ fontWeight: 600 }}>
|
||||
{isOptimizing ? "✨ AI arbeitet (ca 30s)..." : "✨ Jetzt optimieren"}
|
||||
</span>
|
||||
</button>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
177
packages/payload-ai/src/endpoints/replicateMediaEndpoint.ts
Normal file
177
packages/payload-ai/src/endpoints/replicateMediaEndpoint.ts
Normal file
@@ -0,0 +1,177 @@
|
||||
import type { PayloadRequest, PayloadHandler } from "payload";
|
||||
import Replicate from "replicate";
|
||||
|
||||
type Action = "upscale" | "recover";
|
||||
|
||||
const replicate = new Replicate({
|
||||
auth: process.env.REPLICATE_API_KEY,
|
||||
});
|
||||
|
||||
/**
|
||||
* Downloads a remote URL and returns a Buffer.
|
||||
*/
|
||||
async function downloadImage(url: string): Promise<Buffer> {
|
||||
const res = await fetch(url);
|
||||
if (!res.ok) throw new Error(`Failed to download image: ${res.status} ${res.statusText}`);
|
||||
const arrayBuffer = await res.arrayBuffer();
|
||||
return Buffer.from(arrayBuffer);
|
||||
}
|
||||
|
||||
/**
|
||||
* Resolves the public URL for a media document.
|
||||
* Handles both S3 and local static files.
|
||||
*/
|
||||
function resolveMediaUrl(doc: any): string | null {
|
||||
// S3 storage sets `url` directly
|
||||
if (doc.url) return doc.url;
|
||||
|
||||
// Local static files: build from NEXT_PUBLIC_BASE_URL + /media/<filename>
|
||||
const base = process.env.NEXT_PUBLIC_BASE_URL || "http://localhost:3000";
|
||||
if (doc.filename) return `${base}/media/${doc.filename}`;
|
||||
|
||||
return null;
|
||||
}
|
||||
|
||||
export const replicateMediaHandler: PayloadHandler = async (
|
||||
req: PayloadRequest,
|
||||
) => {
|
||||
const { id } = req.routeParams as { id: string };
|
||||
const payload = req.payload;
|
||||
|
||||
// Parse action from request body
|
||||
let action: Action;
|
||||
try {
|
||||
const body = await req.json?.();
|
||||
action = body?.action as Action;
|
||||
} catch {
|
||||
return Response.json({ error: "Invalid request body" }, { status: 400 });
|
||||
}
|
||||
|
||||
if (action !== "upscale" && action !== "recover") {
|
||||
return Response.json(
|
||||
{ error: "Invalid action. Must be 'upscale' or 'recover'." },
|
||||
{ status: 400 },
|
||||
);
|
||||
}
|
||||
|
||||
// Fetch the media document
|
||||
let mediaDoc: any;
|
||||
try {
|
||||
mediaDoc = await payload.findByID({ collection: "media", id });
|
||||
} catch {
|
||||
return Response.json({ error: "Media not found" }, { status: 404 });
|
||||
}
|
||||
|
||||
if (!mediaDoc) {
|
||||
return Response.json({ error: "Media not found" }, { status: 404 });
|
||||
}
|
||||
|
||||
// Check that it's an image
|
||||
const mimeType: string = mediaDoc.mimeType || "";
|
||||
if (!mimeType.startsWith("image/")) {
|
||||
return Response.json(
|
||||
{ error: "This media file is not an image and cannot be AI-processed." },
|
||||
{ status: 422 },
|
||||
);
|
||||
}
|
||||
|
||||
const imageUrl = resolveMediaUrl(mediaDoc);
|
||||
if (!imageUrl) {
|
||||
return Response.json(
|
||||
{ error: "Could not resolve a public URL for this media file." },
|
||||
{ status: 422 },
|
||||
);
|
||||
}
|
||||
|
||||
// --- Run Replicate ---
|
||||
let outputUrl: string;
|
||||
|
||||
try {
|
||||
if (action === "upscale") {
|
||||
console.log(`[AI Media] Starting upscale for media ${id} – ${imageUrl}`);
|
||||
const output = await replicate.run("google/upscaler", {
|
||||
input: {
|
||||
image: imageUrl,
|
||||
},
|
||||
});
|
||||
// google/upscaler returns a string URL
|
||||
outputUrl = typeof output === "string" ? output : (output as any)?.url ?? String(output);
|
||||
} else {
|
||||
// recover
|
||||
console.log(`[AI Media] Starting photo recovery for media ${id} – ${imageUrl}`);
|
||||
const output = await replicate.run(
|
||||
"microsoft/bringing-old-photos-back-to-life",
|
||||
{
|
||||
input: {
|
||||
image: imageUrl,
|
||||
HR: true,
|
||||
},
|
||||
},
|
||||
);
|
||||
// returns a FileOutput or URL string
|
||||
outputUrl = typeof output === "string" ? output : (output as any)?.url ?? String(output);
|
||||
}
|
||||
} catch (err: any) {
|
||||
console.error("[AI Media] Replicate error:", err);
|
||||
return Response.json(
|
||||
{ error: err?.message ?? "Replicate API call failed" },
|
||||
{ status: 500 },
|
||||
);
|
||||
}
|
||||
|
||||
// --- Download and re-upload as new media document ---
|
||||
let imageBuffer: Buffer;
|
||||
try {
|
||||
imageBuffer = await downloadImage(outputUrl);
|
||||
} catch (err: any) {
|
||||
console.error("[AI Media] Download error:", err);
|
||||
return Response.json(
|
||||
{ error: `Failed to download result: ${err?.message}` },
|
||||
{ status: 500 },
|
||||
);
|
||||
}
|
||||
|
||||
const suffix = action === "upscale" ? "_upscaled" : "_recovered";
|
||||
const originalName: string = mediaDoc.filename || "image.jpg";
|
||||
const ext = originalName.includes(".") ? `.${originalName.split(".").pop()}` : ".jpg";
|
||||
const baseName = originalName.includes(".")
|
||||
? originalName.slice(0, originalName.lastIndexOf("."))
|
||||
: originalName;
|
||||
const newFilename = `${baseName}${suffix}${ext}`;
|
||||
const originalAlt: string = mediaDoc.alt || originalName;
|
||||
|
||||
let newMedia: any;
|
||||
try {
|
||||
newMedia = await payload.create({
|
||||
collection: "media",
|
||||
data: {
|
||||
alt: `${originalAlt}${suffix}`,
|
||||
},
|
||||
file: {
|
||||
data: imageBuffer,
|
||||
mimetype: mimeType,
|
||||
name: newFilename,
|
||||
size: imageBuffer.byteLength,
|
||||
},
|
||||
});
|
||||
} catch (err: any) {
|
||||
console.error("[AI Media] Upload error:", err);
|
||||
return Response.json(
|
||||
{ error: `Failed to save result: ${err?.message}` },
|
||||
{ status: 500 },
|
||||
);
|
||||
}
|
||||
|
||||
console.log(
|
||||
`[AI Media] ${action} complete – new media ID: ${newMedia.id}`,
|
||||
);
|
||||
|
||||
return Response.json(
|
||||
{
|
||||
message: `AI ${action} successful. New media document created.`,
|
||||
mediaId: newMedia.id,
|
||||
url: resolveMediaUrl(newMedia),
|
||||
},
|
||||
{ status: 200 },
|
||||
);
|
||||
};
|
||||
30
packages/payload-ai/src/globals/AiSettings.ts
Normal file
30
packages/payload-ai/src/globals/AiSettings.ts
Normal file
@@ -0,0 +1,30 @@
|
||||
import type { GlobalConfig } from "payload";
|
||||
export const AiSettings: GlobalConfig = {
|
||||
slug: "ai-settings",
|
||||
label: "AI Settings",
|
||||
access: {
|
||||
read: () => true, // Needed if the Next.js frontend or server actions need to fetch it
|
||||
},
|
||||
admin: {
|
||||
group: "Configuration",
|
||||
},
|
||||
fields: [
|
||||
{
|
||||
name: "customSources",
|
||||
type: "array",
|
||||
label: "Custom Trusted Sources",
|
||||
admin: {
|
||||
description:
|
||||
"List of trusted B2B/Tech sources (e.g. 'Vercel Blog', 'Fireship', 'Theo - t3.gg') the AI should prioritize when researching facts or videos. This overrides the hardcoded defaults.",
|
||||
},
|
||||
fields: [
|
||||
{
|
||||
name: "sourceName",
|
||||
type: "text",
|
||||
required: true,
|
||||
label: "Channel or Publication Name",
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
};
|
||||
15
packages/payload-ai/src/index.ts
Normal file
15
packages/payload-ai/src/index.ts
Normal file
@@ -0,0 +1,15 @@
|
||||
/**
|
||||
* @mintel/payload-ai
|
||||
* Primary entry point for reusing Mintel AI extensions in Payload CMS.
|
||||
*/
|
||||
|
||||
export * from './globals/AiSettings';
|
||||
export * from './actions/generateField';
|
||||
export * from './actions/optimizePost';
|
||||
export * from './components/FieldGenerators/AiFieldButton';
|
||||
export * from './components/AiMediaButtons';
|
||||
export * from './components/OptimizeButton';
|
||||
export * from './components/FieldGenerators/GenerateThumbnailButton';
|
||||
export * from './components/FieldGenerators/GenerateSlugButton';
|
||||
export * from './utils/lexicalParser';
|
||||
export * from './endpoints/replicateMediaEndpoint';
|
||||
5
packages/payload-ai/src/types.d.ts
vendored
Normal file
5
packages/payload-ai/src/types.d.ts
vendored
Normal file
@@ -0,0 +1,5 @@
|
||||
declare module "@payload-config" {
|
||||
import { Config } from "payload";
|
||||
const configPromise: Promise<Config>;
|
||||
export default configPromise;
|
||||
}
|
||||
640
packages/payload-ai/src/utils/lexicalParser.ts
Normal file
640
packages/payload-ai/src/utils/lexicalParser.ts
Normal file
@@ -0,0 +1,640 @@
|
||||
/**
|
||||
* Converts a Markdown+JSX string into a Lexical AST node array.
|
||||
* Handles all registered Payload blocks and standard markdown formatting.
|
||||
*/
|
||||
|
||||
function propValue(chunk: string, prop: string): string {
|
||||
// Match prop="value" or prop='value' or prop={value}
|
||||
const match =
|
||||
chunk.match(new RegExp(`${prop}=["']([^"']+)["']`)) ||
|
||||
chunk.match(new RegExp(`${prop}=\\{([^}]+)\\}`));
|
||||
return match ? match[1] : "";
|
||||
}
|
||||
|
||||
function innerContent(chunk: string, tag: string): string {
|
||||
const match = chunk.match(
|
||||
new RegExp(`<${tag}(?:\\s[^>]*)?>([\\s\\S]*?)<\\/${tag}>`),
|
||||
);
|
||||
return match ? match[1].trim() : "";
|
||||
}
|
||||
|
||||
function blockNode(blockType: string, fields: Record<string, any>) {
|
||||
return {
|
||||
type: "block",
|
||||
format: "",
|
||||
version: 2,
|
||||
fields: { blockType, ...fields },
|
||||
};
|
||||
}
|
||||
|
||||
export function parseMarkdownToLexical(markdown: string): any[] {
|
||||
const textNode = (text: string) => ({
|
||||
type: "paragraph",
|
||||
format: "",
|
||||
indent: 0,
|
||||
version: 1,
|
||||
children: [{ mode: "normal", type: "text", text, version: 1 }],
|
||||
});
|
||||
|
||||
const nodes: any[] = [];
|
||||
|
||||
// Strip frontmatter
|
||||
let content = markdown;
|
||||
const fm = content.match(/^---\s*\n[\s\S]*?\n---/);
|
||||
if (fm) content = content.replace(fm[0], "").trim();
|
||||
|
||||
// Pre-process: reassemble multi-line JSX tags that got split by double-newline chunking.
|
||||
// This handles tags like <IconList>\n\n<IconListItem ... />\n\n</IconList>
|
||||
content = reassembleMultiLineJSX(content);
|
||||
|
||||
const rawChunks = content.split(/\n\s*\n/);
|
||||
|
||||
for (let chunk of rawChunks) {
|
||||
chunk = chunk.trim();
|
||||
if (!chunk) continue;
|
||||
|
||||
// === Self-closing tags (no children) ===
|
||||
|
||||
// ArticleMeme / MemeCard
|
||||
if (chunk.includes("<ArticleMeme") || chunk.includes("<MemeCard")) {
|
||||
nodes.push(
|
||||
blockNode("memeCard", {
|
||||
template: propValue(chunk, "template"),
|
||||
captions: propValue(chunk, "captions"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// BoldNumber
|
||||
if (chunk.includes("<BoldNumber")) {
|
||||
nodes.push(
|
||||
blockNode("boldNumber", {
|
||||
value: propValue(chunk, "value"),
|
||||
label: propValue(chunk, "label"),
|
||||
source: propValue(chunk, "source"),
|
||||
sourceUrl: propValue(chunk, "sourceUrl"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// WebVitalsScore
|
||||
if (chunk.includes("<WebVitalsScore")) {
|
||||
nodes.push(
|
||||
blockNode("webVitalsScore", {
|
||||
lcp: parseFloat(propValue(chunk, "lcp")) || 0,
|
||||
inp: parseFloat(propValue(chunk, "inp")) || 0,
|
||||
cls: parseFloat(propValue(chunk, "cls")) || 0,
|
||||
description: propValue(chunk, "description"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// LeadMagnet
|
||||
if (chunk.includes("<LeadMagnet")) {
|
||||
nodes.push(
|
||||
blockNode("leadMagnet", {
|
||||
title: propValue(chunk, "title"),
|
||||
description: propValue(chunk, "description"),
|
||||
buttonText: propValue(chunk, "buttonText") || "Jetzt anfragen",
|
||||
href: propValue(chunk, "href") || "/contact",
|
||||
variant: propValue(chunk, "variant") || "standard",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// ComparisonRow
|
||||
if (chunk.includes("<ComparisonRow")) {
|
||||
nodes.push(
|
||||
blockNode("comparisonRow", {
|
||||
description: propValue(chunk, "description"),
|
||||
negativeLabel: propValue(chunk, "negativeLabel"),
|
||||
negativeText: propValue(chunk, "negativeText"),
|
||||
positiveLabel: propValue(chunk, "positiveLabel"),
|
||||
positiveText: propValue(chunk, "positiveText"),
|
||||
reverse: chunk.includes("reverse={true}"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// StatsDisplay
|
||||
if (chunk.includes("<StatsDisplay")) {
|
||||
nodes.push(
|
||||
blockNode("statsDisplay", {
|
||||
label: propValue(chunk, "label"),
|
||||
value: propValue(chunk, "value"),
|
||||
subtext: propValue(chunk, "subtext"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// MetricBar
|
||||
if (chunk.includes("<MetricBar")) {
|
||||
nodes.push(
|
||||
blockNode("metricBar", {
|
||||
label: propValue(chunk, "label"),
|
||||
value: parseFloat(propValue(chunk, "value")) || 0,
|
||||
max: parseFloat(propValue(chunk, "max")) || 100,
|
||||
unit: propValue(chunk, "unit") || "%",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// ExternalLink
|
||||
if (chunk.includes("<ExternalLink")) {
|
||||
nodes.push(
|
||||
blockNode("externalLink", {
|
||||
href: propValue(chunk, "href"),
|
||||
label:
|
||||
propValue(chunk, "label") || innerContent(chunk, "ExternalLink"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// TrackedLink
|
||||
if (chunk.includes("<TrackedLink")) {
|
||||
nodes.push(
|
||||
blockNode("trackedLink", {
|
||||
href: propValue(chunk, "href"),
|
||||
label:
|
||||
propValue(chunk, "label") || innerContent(chunk, "TrackedLink"),
|
||||
eventName: propValue(chunk, "eventName"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// YouTube
|
||||
if (chunk.includes("<YouTubeEmbed")) {
|
||||
nodes.push(
|
||||
blockNode("youTubeEmbed", {
|
||||
videoId: propValue(chunk, "videoId"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// LinkedIn
|
||||
if (chunk.includes("<LinkedInEmbed")) {
|
||||
nodes.push(
|
||||
blockNode("linkedInEmbed", {
|
||||
url: propValue(chunk, "url"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Twitter
|
||||
if (chunk.includes("<TwitterEmbed")) {
|
||||
nodes.push(
|
||||
blockNode("twitterEmbed", {
|
||||
url: propValue(chunk, "url"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Interactive (self-closing, defaults only)
|
||||
if (chunk.includes("<RevenueLossCalculator")) {
|
||||
nodes.push(
|
||||
blockNode("revenueLossCalculator", {
|
||||
title: propValue(chunk, "title") || "Performance Revenue Simulator",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<PerformanceChart")) {
|
||||
nodes.push(
|
||||
blockNode("performanceChart", {
|
||||
title: propValue(chunk, "title") || "Website Performance",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<PerformanceROICalculator")) {
|
||||
nodes.push(
|
||||
blockNode("performanceROICalculator", {
|
||||
baseConversionRate:
|
||||
parseFloat(propValue(chunk, "baseConversionRate")) || 2.5,
|
||||
monthlyVisitors:
|
||||
parseInt(propValue(chunk, "monthlyVisitors")) || 50000,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<LoadTimeSimulator")) {
|
||||
nodes.push(
|
||||
blockNode("loadTimeSimulator", {
|
||||
initialLoadTime:
|
||||
parseFloat(propValue(chunk, "initialLoadTime")) || 3.5,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<ArchitectureBuilder")) {
|
||||
nodes.push(
|
||||
blockNode("architectureBuilder", {
|
||||
preset: propValue(chunk, "preset") || "standard",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DigitalAssetVisualizer")) {
|
||||
nodes.push(
|
||||
blockNode("digitalAssetVisualizer", {
|
||||
assetId: propValue(chunk, "assetId"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// === Tags with inner content ===
|
||||
|
||||
// TLDR
|
||||
if (chunk.includes("<TLDR>")) {
|
||||
const inner = innerContent(chunk, "TLDR");
|
||||
if (inner) {
|
||||
nodes.push(blockNode("mintelTldr", { content: inner }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// Paragraph (handles <Paragraph>, <Paragraph ...attrs>)
|
||||
if (/<Paragraph[\s>]/.test(chunk)) {
|
||||
const inner = innerContent(chunk, "Paragraph");
|
||||
if (inner) {
|
||||
nodes.push(blockNode("mintelP", { text: inner }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// H2 (handles <H2>, <H2 id="...">)
|
||||
if (/<H2[\s>]/.test(chunk)) {
|
||||
const inner = innerContent(chunk, "H2");
|
||||
if (inner) {
|
||||
nodes.push(
|
||||
blockNode("mintelHeading", {
|
||||
text: inner,
|
||||
seoLevel: "h2",
|
||||
displayLevel: "h2",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// H3 (handles <H3>, <H3 id="...">)
|
||||
if (/<H3[\s>]/.test(chunk)) {
|
||||
const inner = innerContent(chunk, "H3");
|
||||
if (inner) {
|
||||
nodes.push(
|
||||
blockNode("mintelHeading", {
|
||||
text: inner,
|
||||
seoLevel: "h3",
|
||||
displayLevel: "h3",
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// Marker (inline highlight, usually inside Paragraph – store as standalone block)
|
||||
if (chunk.includes("<Marker>") && !chunk.includes("<Paragraph")) {
|
||||
const inner = innerContent(chunk, "Marker");
|
||||
if (inner) {
|
||||
nodes.push(blockNode("marker", { text: inner }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// LeadParagraph
|
||||
if (chunk.includes("<LeadParagraph>")) {
|
||||
const inner = innerContent(chunk, "LeadParagraph");
|
||||
if (inner) {
|
||||
nodes.push(blockNode("leadParagraph", { text: inner }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// ArticleBlockquote
|
||||
if (chunk.includes("<ArticleBlockquote")) {
|
||||
nodes.push(
|
||||
blockNode("articleBlockquote", {
|
||||
quote: innerContent(chunk, "ArticleBlockquote"),
|
||||
author: propValue(chunk, "author"),
|
||||
role: propValue(chunk, "role"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// ArticleQuote
|
||||
if (chunk.includes("<ArticleQuote")) {
|
||||
nodes.push(
|
||||
blockNode("articleQuote", {
|
||||
quote:
|
||||
innerContent(chunk, "ArticleQuote") || propValue(chunk, "quote"),
|
||||
author: propValue(chunk, "author"),
|
||||
role: propValue(chunk, "role"),
|
||||
source: propValue(chunk, "source"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Mermaid
|
||||
if (chunk.includes("<Mermaid")) {
|
||||
nodes.push(
|
||||
blockNode("mermaid", {
|
||||
id: propValue(chunk, "id") || `chart-${Date.now()}`,
|
||||
title: propValue(chunk, "title"),
|
||||
showShare: chunk.includes("showShare={true}"),
|
||||
chartDefinition: innerContent(chunk, "Mermaid"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Diagram variants (prefer inner definition, fall back to raw chunk text)
|
||||
if (chunk.includes("<DiagramFlow")) {
|
||||
nodes.push(
|
||||
blockNode("diagramFlow", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramFlow") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DiagramSequence")) {
|
||||
nodes.push(
|
||||
blockNode("diagramSequence", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramSequence") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DiagramGantt")) {
|
||||
nodes.push(
|
||||
blockNode("diagramGantt", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramGantt") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DiagramPie")) {
|
||||
nodes.push(
|
||||
blockNode("diagramPie", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramPie") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DiagramState")) {
|
||||
nodes.push(
|
||||
blockNode("diagramState", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramState") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
if (chunk.includes("<DiagramTimeline")) {
|
||||
nodes.push(
|
||||
blockNode("diagramTimeline", {
|
||||
definition:
|
||||
innerContent(chunk, "DiagramTimeline") ||
|
||||
propValue(chunk, "definition") ||
|
||||
chunk,
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Section (wrapping container – unwrap and parse inner content as top-level blocks)
|
||||
if (chunk.includes("<Section")) {
|
||||
const inner = innerContent(chunk, "Section");
|
||||
if (inner) {
|
||||
const innerNodes = parseMarkdownToLexical(inner);
|
||||
nodes.push(...innerNodes);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
// FAQSection (wrapping container)
|
||||
if (chunk.includes("<FAQSection")) {
|
||||
// FAQSection contains nested H3/Paragraph pairs.
|
||||
// We extract them as individual blocks instead.
|
||||
const faqContent = innerContent(chunk, "FAQSection");
|
||||
if (faqContent) {
|
||||
// Parse nested content recursively
|
||||
const innerNodes = parseMarkdownToLexical(faqContent);
|
||||
nodes.push(...innerNodes);
|
||||
}
|
||||
continue;
|
||||
}
|
||||
|
||||
// IconList with IconListItems
|
||||
if (chunk.includes("<IconList")) {
|
||||
const items: any[] = [];
|
||||
// Self-closing: <IconListItem icon="Check" title="..." description="..." />
|
||||
const itemMatches = chunk.matchAll(/<IconListItem\s+([^>]*?)\/>/g);
|
||||
for (const m of itemMatches) {
|
||||
const attrs = m[1];
|
||||
const title = (attrs.match(/title=["']([^"']+)["']/) || [])[1] || "";
|
||||
const desc =
|
||||
(attrs.match(/description=["']([^"']+)["']/) || [])[1] || "";
|
||||
items.push({
|
||||
icon: (attrs.match(/icon=["']([^"']+)["']/) || [])[1] || "Check",
|
||||
title: title || "•",
|
||||
description: desc,
|
||||
});
|
||||
}
|
||||
// Content-wrapped: <IconListItem check>HTML content</IconListItem>
|
||||
const itemMatches2 = chunk.matchAll(
|
||||
/<IconListItem([^>]*)>([\s\S]*?)<\/IconListItem>/g,
|
||||
);
|
||||
for (const m of itemMatches2) {
|
||||
const attrs = m[1] || "";
|
||||
const innerHtml = m[2].trim();
|
||||
// Use title attr if present, otherwise use inner HTML (stripped of tags) as title
|
||||
const titleAttr = (attrs.match(/title=["']([^"']+)["']/) || [])[1];
|
||||
const strippedInner = innerHtml.replace(/<[^>]+>/g, "").trim();
|
||||
items.push({
|
||||
icon: (attrs.match(/icon=["']([^"']+)["']/) || [])[1] || "Check",
|
||||
title: titleAttr || strippedInner || "•",
|
||||
description: "",
|
||||
});
|
||||
}
|
||||
if (items.length > 0) {
|
||||
nodes.push(blockNode("iconList", { items }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// StatsGrid
|
||||
if (chunk.includes("<StatsGrid")) {
|
||||
const stats: any[] = [];
|
||||
const statMatches = chunk.matchAll(/<StatItem\s+([^>]*?)\/>/g);
|
||||
for (const m of statMatches) {
|
||||
const attrs = m[1];
|
||||
stats.push({
|
||||
label: (attrs.match(/label=["']([^"']+)["']/) || [])[1] || "",
|
||||
value: (attrs.match(/value=["']([^"']+)["']/) || [])[1] || "",
|
||||
});
|
||||
}
|
||||
// Also try inline props pattern
|
||||
if (stats.length === 0) {
|
||||
const innerStats = innerContent(chunk, "StatsGrid");
|
||||
if (innerStats) {
|
||||
// fallback: store the raw content
|
||||
nodes.push(blockNode("statsGrid", { stats: [] }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
nodes.push(blockNode("statsGrid", { stats }));
|
||||
continue;
|
||||
}
|
||||
|
||||
// PremiumComparisonChart
|
||||
if (chunk.includes("<PremiumComparisonChart")) {
|
||||
nodes.push(
|
||||
blockNode("premiumComparisonChart", {
|
||||
title: propValue(chunk, "title"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// WaterfallChart
|
||||
if (chunk.includes("<WaterfallChart")) {
|
||||
nodes.push(
|
||||
blockNode("waterfallChart", {
|
||||
title: propValue(chunk, "title"),
|
||||
}),
|
||||
);
|
||||
continue;
|
||||
}
|
||||
|
||||
// Reveal (animation wrapper – just pass through)
|
||||
if (chunk.includes("<Reveal")) {
|
||||
const inner = innerContent(chunk, "Reveal");
|
||||
if (inner) {
|
||||
// Parse inner content as regular nodes
|
||||
const innerNodes = parseMarkdownToLexical(inner);
|
||||
nodes.push(...innerNodes);
|
||||
continue;
|
||||
}
|
||||
}
|
||||
|
||||
// Standalone IconListItem (outside IconList context)
|
||||
if (chunk.includes("<IconListItem")) {
|
||||
// Skip – these should be inside an IconList
|
||||
continue;
|
||||
}
|
||||
|
||||
// Skip wrapper divs (like <div className="my-8">)
|
||||
if (/^<div\s/.test(chunk) || chunk === "</div>") {
|
||||
continue;
|
||||
}
|
||||
|
||||
// === Standard Markdown ===
|
||||
// CarouselBlock
|
||||
if (chunk.includes("<Carousel")) {
|
||||
const slides: any[] = [];
|
||||
const slideMatches = chunk.matchAll(/<Slide\s+([^>]*?)\/>/g);
|
||||
for (const m of slideMatches) {
|
||||
const attrs = m[1];
|
||||
slides.push({
|
||||
image: (attrs.match(/image=["']([^"']+)["']/) || [])[1] || "",
|
||||
caption: (attrs.match(/caption=["']([^"']+)["']/) || [])[1] || "",
|
||||
});
|
||||
}
|
||||
if (slides.length > 0) {
|
||||
nodes.push(blockNode("carousel", { slides }));
|
||||
continue;
|
||||
}
|
||||
}
|
||||
// Headings
|
||||
const headingMatch = chunk.match(/^(#{1,6})\s+(.*)/);
|
||||
if (headingMatch) {
|
||||
nodes.push({
|
||||
type: "heading",
|
||||
tag: `h${headingMatch[1].length}`,
|
||||
format: "",
|
||||
indent: 0,
|
||||
version: 1,
|
||||
direction: "ltr",
|
||||
children: [
|
||||
{ mode: "normal", type: "text", text: headingMatch[2], version: 1 },
|
||||
],
|
||||
});
|
||||
continue;
|
||||
}
|
||||
|
||||
// Default: plain text paragraph
|
||||
nodes.push(textNode(chunk));
|
||||
}
|
||||
|
||||
return nodes;
|
||||
}
|
||||
|
||||
/**
|
||||
* Reassembles multi-line JSX tags that span across double-newline boundaries.
|
||||
* E.g. <IconList>\n\n<IconListItem.../>\n\n</IconList> becomes a single chunk.
|
||||
*/
|
||||
function reassembleMultiLineJSX(content: string): string {
|
||||
// Tags that wrap other content across paragraph breaks
|
||||
const wrapperTags = [
|
||||
"IconList",
|
||||
"StatsGrid",
|
||||
"FAQSection",
|
||||
"Section",
|
||||
"Reveal",
|
||||
"Carousel",
|
||||
];
|
||||
|
||||
for (const tag of wrapperTags) {
|
||||
const openRegex = new RegExp(`<${tag}[^>]*>`, "g");
|
||||
let match;
|
||||
while ((match = openRegex.exec(content)) !== null) {
|
||||
const openPos = match.index;
|
||||
const closeTag = `</${tag}>`;
|
||||
const closePos = content.indexOf(closeTag, openPos);
|
||||
if (closePos === -1) continue;
|
||||
|
||||
const fullEnd = closePos + closeTag.length;
|
||||
const fullBlock = content.substring(openPos, fullEnd);
|
||||
|
||||
// Replace double newlines inside this block with single newlines
|
||||
// so it stays as one chunk during splitting
|
||||
const collapsed = fullBlock.replace(/\n\s*\n/g, "\n");
|
||||
content =
|
||||
content.substring(0, openPos) + collapsed + content.substring(fullEnd);
|
||||
|
||||
// Adjust regex position
|
||||
openRegex.lastIndex = openPos + collapsed.length;
|
||||
}
|
||||
}
|
||||
|
||||
return content;
|
||||
}
|
||||
30
packages/payload-ai/tsconfig.json
Normal file
30
packages/payload-ai/tsconfig.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
"extends": "../../tsconfig.json",
|
||||
"compilerOptions": {
|
||||
"module": "ESNext",
|
||||
"moduleResolution": "bundler",
|
||||
"target": "ES2022",
|
||||
"lib": [
|
||||
"ES2022",
|
||||
"DOM",
|
||||
"DOM.Iterable"
|
||||
],
|
||||
"jsx": "react-jsx",
|
||||
"outDir": "dist",
|
||||
"rootDir": "src",
|
||||
"strict": true,
|
||||
"esModuleInterop": true,
|
||||
"skipLibCheck": true,
|
||||
"forceConsistentCasingInFileNames": true,
|
||||
"declaration": true,
|
||||
"sourceMap": true
|
||||
},
|
||||
"include": [
|
||||
"src/**/*"
|
||||
],
|
||||
"exclude": [
|
||||
"node_modules",
|
||||
"dist",
|
||||
"**/*.test.ts"
|
||||
]
|
||||
}
|
||||
1078
pnpm-lock.yaml
generated
1078
pnpm-lock.yaml
generated
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user