ContentGen_BE/test-api-social.js

const { PrismaClient } = require('@prisma/client');
const { GoogleGenAI } = require('@google/genai');

const prisma = new PrismaClient();

async function main() {
  const project = await prisma.project.findUnique({
    where: { id: '686d6496-2963-4527-8703-02b843e50159' }
  });
  
  const scriptJson = project.scriptJson || {};
  let videoContentSummary = project.title;
  if (scriptJson.scenes && Array.isArray(scriptJson.scenes)) {
    videoContentSummary = scriptJson.scenes.map((s) => s.narration).join(' ');
  } else if (project.prompt) {
    videoContentSummary = project.prompt.substring(0, 1000);
  }
  
  const promptText = `Generate comprehensive SEO metadata and social media content for the following video project.

TOPIC: "${videoContentSummary.substring(0, 2000)}"
CURRENT TITLE: "${project.title}"
LANGUAGE: ${project.language} (generate all text in THIS language)
EXISTING KEYWORDS: ${(project.seoKeywords || []).join(', ')}

Return ONLY valid JSON matching this exact structure, with no markdown formatting or backticks:
{
  "seo": {
    "title": "SEO optimized title (under 60 chars)",
    "description": "Meta description (150-200 chars)",
    "keywords": ["keyword1", "keyword2", "keyword3", "keyword4", "keyword5"],
    "hashtags": ["#hashtag1", "#hashtag2", "#hashtag3"],
    "trendingHashtags": ["#trending1", "#trending2"],
    "estimatedSearchVolume": "Summary of search volume for keywords",
    "schemaMarkup": { "@type": "VideoObject", "name": "..." }
  },
  "socialContent": {
    "youtubeTitle": "Clickable YouTube title with emojis",
    "youtubeDescription": "Full YouTube description including hashtags and call to actions",
    "tiktokCaption": "Catchy TikTok caption with trending hashtags",
    "instagramCaption": "Engaging Instagram caption with emojis and hashtags",
    "twitterText": "Viral X (Twitter) post text under 280 characters"
  }
}`;

  const ai = new GoogleGenAI({ apiKey: process.env.GEMINI_API_KEY });
  
  try {
    const response = await ai.models.generateContent({
        model: 'gemini-2.5-flash', // Trying flash 8b if flash not found, or maybe just 'gemini-1.5-flash'
        contents: promptText,
        config: {
          temperature: 0.8,
          topP: 0.95,
          maxOutputTokens: 2048,
          responseMimeType: 'text/plain',
        },
      });
    console.log("RAW TEXT:\n", response.text);
  } catch (err) {
    if (err.status === 404) {
      try {
        const response2 = await ai.models.generateContent({
            model: 'gemini-1.5-flash',
            contents: promptText,
            config: {
              temperature: 0.8,
              topP: 0.95,
              maxOutputTokens: 2048,
              responseMimeType: 'text/plain',
            },
          });
        console.log("RAW TEXT:\n", response2.text);
      } catch (err2) {
        console.error("Failed again:", err2);
      }
    } else {
      console.error(err);
    }
  }
}
main();