mintel.me/apps/web/src/payload/actions/optimizePost.ts

"use server";

import { config } from "../../../content-engine.config";
import { revalidatePath } from "next/cache";
import { parseMarkdownToLexical } from "../utils/lexicalParser";
import { getPayloadHMR } from "@payloadcms/next/utilities";
import configPromise from "@payload-config";

export async function optimizePostText(
  draftContent: string,
  instructions?: string,
) {
  try {
    const payload = await getPayloadHMR({ config: configPromise });
    const globalAiSettings = await payload.findGlobal({ slug: "ai-settings" });
    const customSources =
      globalAiSettings?.customSources?.map((s: any) => s.sourceName) || [];

    const OPENROUTER_KEY =
      process.env.OPENROUTER_KEY || process.env.OPENROUTER_API_KEY;
    const REPLICATE_KEY = process.env.REPLICATE_API_KEY;

    if (!OPENROUTER_KEY) {
      throw new Error(
        "OPENROUTER_KEY or OPENROUTER_API_KEY not found in environment.",
      );
    }

    const importDynamic = new Function(
      "modulePath",
      "return import(modulePath)",
    );
    const { AiBlogPostOrchestrator } = await importDynamic(
      "@mintel/content-engine",
    );

    const orchestrator = new AiBlogPostOrchestrator({
      apiKey: OPENROUTER_KEY,
      replicateApiKey: REPLICATE_KEY,
      model: "google/gemini-3-flash-preview",
    });

    // Fetch context documents purely from DB
    const contextDocsData = await payload.find({
      collection: "context-files",
      limit: 100,
    });
    const projectContext = contextDocsData.docs.map((doc) => doc.content);

    const optimizedMarkdown = await orchestrator.optimizeDocument({
      content: draftContent,
      projectContext,
      availableComponents: config.components,
      instructions,
      internalLinks: [],
      customSources,
    });

    // The orchestrator currently returns Markdown + JSX tags.
    // We convert this mixed string into a basic Lexical AST map.

    if (!optimizedMarkdown || typeof optimizedMarkdown !== "string") {
      throw new Error("AI returned invalid markup.");
    }

    const blocks = parseMarkdownToLexical(optimizedMarkdown);

    return {
      success: true,
      lexicalAST: {
        root: {
          type: "root",
          format: "",
          indent: 0,
          version: 1,
          children: blocks,
          direction: "ltr",
        },
      },
    };
  } catch (error: any) {
    console.error("Failed to optimize post:", error);
    return {
      success: false,
      error: error.message || "An unknown error occurred during optimization.",
    };
  }
}