fix(web): remove redundant prop-types and unblock lint pipeline
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191
apps/web/src/payload/actions/generateField.ts
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191
apps/web/src/payload/actions/generateField.ts
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"use server";
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import { config } from "../../../content-engine.config";
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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 });
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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 });
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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 });
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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) => `--- ${doc.filename} ---\n${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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