Cloud Functions

if (!request.auth) {
  throw new HttpsError('unauthenticated', 'User must be logged in.');
}

const parseFileContent = async (fileBase64, mimeType) => {
  const buffer = Buffer.from(fileBase64, 'base64');

  if (mimeType === 'application/pdf') {
    const data = await pdf(buffer);
    return data.text;
  } 
  
  if (mimeType === 'text/csv' || mimeType === 'application/vnd.ms-excel') {
    const records = parse(buffer.toString('utf-8'), {
      columns: true,
      skip_empty_lines: true
    });
    return JSON.stringify(records, null, 2);
  }

  // Fallback for text files
  return buffer.toString('utf-8');
};

const systemPrompt = `
  You are an expert productivity assistant for the "Arre" app.
  Your goal is to extract actionable tasks from the provided document content.
  
  Rules:
  1. Return ONLY a valid JSON array of strings. No markdown, no explanations.
  2. Each string must be a clear, actionable task title.
  3. If specific instructions are provided, prioritize them.
  4. Limit to the top 10 most important tasks if the document is large.
  
  User Instructions: ${instructions || "Extract all tasks."}
`;

const model = getGeminiModel(geminiApiKey.value());

const result = await model.generateContent([
  systemPrompt,
  { text: `Document Content:\n${extractedText.substring(0, 30000)}` }
]);

const response = result.response;
const text = response.text();

const jsonString = text.replace(/```json/g, '').replace(/```/g, '').trim();
const tasks = JSON.parse(jsonString);

if (!Array.isArray(tasks)) {
  throw new Error("AI did not return an array.");
}

return { tasks };