import * as pdfjsLib from 'pdfjs-dist';
import mammoth from 'mammoth';
import { Question } from '../types';

// Configure a reliable CDN-hosted worker for PDF.js to prevent local asset bundle errors
pdfjsLib.GlobalWorkerOptions.workerSrc = `https://cdnjs.cloudflare.com/ajax/libs/pdf.js/4.10.38/pdf.worker.min.mjs`;

export class DocumentParserService {
  /**
   * Primary Entrypoint: Extract raw string content from an uploaded File (PDF, DOCX, or TXT)
   */
  static async extractTextFromFile(file: File): Promise<string> {
    const extension = file.name.split('.').pop()?.toLowerCase();

    if (extension === 'txt') {
      return new Promise((resolve, reject) => {
        const reader = new FileReader();
        reader.onload = () => resolve(reader.result as string);
        reader.onerror = () => reject(new Error("Unable to parse TXT document."));
        reader.readAsText(file);
      });
    }

    if (extension === 'docx') {
      return new Promise((resolve, reject) => {
        const reader = new FileReader();
        reader.onload = async () => {
          try {
            const arrayBuffer = reader.result as ArrayBuffer;
            const result = await mammoth.extractRawText({ arrayBuffer });
            resolve(result.value);
          } catch (err: any) {
            reject(new Error("Unable to parse Microsoft Word Document (.docx): " + err.message));
          }
        };
        reader.onerror = () => reject(new Error("File load error in Word parser."));
        reader.readAsArrayBuffer(file);
      });
    }

    if (extension === 'pdf') {
      return new Promise((resolve, reject) => {
        const reader = new FileReader();
        reader.onload = async () => {
          try {
            const arrayBuffer = reader.result as ArrayBuffer;
            const loadingTask = pdfjsLib.getDocument({ data: arrayBuffer });
            const pdf = await loadingTask.promise;
            
            let extractedText = "";
            for (let i = 1; i <= pdf.numPages; i++) {
              const page = await pdf.getPage(i);
              const textContent = await page.getTextContent();
              const pageText = textContent.items
                .map((item: any) => item.str)
                .join(" ");
              extractedText += pageText + "\n";
            }
            resolve(extractedText);
          } catch (err: any) {
            reject(new Error("Unable to parse PDF document (.pdf): " + err.message));
          }
        };
        reader.onerror = () => reject(new Error("File load error in PDF parser."));
        reader.readAsArrayBuffer(file);
      });
    }

    throw new Error("Unsupported file schema! Please upload .TXT, .PDF, or .DOCX files.");
  }

  /**
   * Local Regex Parser Failsafe: Standard Regex pattern extraction in case the AI pipeline is offline
   */
  static parseLocalRegex(text: string): Question[] {
    const lines = text.split('\n').map(l => l.trim()).filter(l => l.length > 0);
    const questions: Question[] = [];
    let currentQuestion: Partial<Question> | null = null;

    lines.forEach((line) => {
      // Look for a question beginning with numbers: e.g. "1. What is..." or "Question 13:"
      const qMatch = line.match(/^(\d+)[\.\)]\s*(.*)$/i) || line.match(/^Question\s*(\d+)[:\.]?\s*(.*)$/i) || line.match(/^Q(\d+)[:\.]?\s*(.*)$/i);
      
      if (qMatch) {
        if (currentQuestion && currentQuestion.text) {
          questions.push(this.normalizeCleanQuestion(currentQuestion));
        }
        currentQuestion = {
          id: `manual-regex-${Date.now()}-${qMatch[1]}`,
          text: qMatch[2],
          options: [],
          correctOptionId: 'opt-1',
          category: 'General',
          difficulty: 'medium',
          tags: []
        };
        return;
      }

      // Look for option formats: e.g. "A) Option" or "B. Other option"
      const oMatch = line.match(/^([A-D])[\.\)]\s*(.*)$/i) || line.match(/^\(([A-D])\)\s*(.*)$/i);
      if (oMatch && currentQuestion) {
        const letterIndex = oMatch[1].toUpperCase();
        const optionIdMap: Record<string, string> = { A: 'opt-1', B: 'opt-2', C: 'opt-3', D: 'opt-4' };
        currentQuestion.options?.push({
          id: optionIdMap[letterIndex] || `opt-${letterIndex.toLowerCase()}`,
          text: oMatch[2]
        });
        return;
      }

      // Look for declared answers: e.g. "Answer: B" or "ANS: C"
      const aMatch = line.match(/^(?:Answer|ANS)[:\s]+([A-D])/i);
      if (aMatch && currentQuestion) {
        const letterIndex = aMatch[1].toUpperCase();
        const optionIdMap: Record<string, string> = { A: 'opt-1', B: 'opt-2', C: 'opt-3', D: 'opt-4' };
        currentQuestion.correctOptionId = optionIdMap[letterIndex] || 'opt-1';
        return;
      }

      // Append multi-line question text if appropriate
      if (currentQuestion && !oMatch && !aMatch) {
         currentQuestion.text += ' ' + line;
      }
    });

    if (currentQuestion && currentQuestion.text) {
      questions.push(this.normalizeCleanQuestion(currentQuestion));
    }

    return questions;
  }

  private static normalizeCleanQuestion(q: Partial<Question>): Question {
    const baseOptIds = ['opt-1', 'opt-2', 'opt-3', 'opt-4'];
    
    // Ensure accurate 4-option shape
    const options = q.options || [];
    while (options.length < 4) {
      options.push({ id: baseOptIds[options.length], text: `Option ${String.fromCharCode(65 + options.length)} placeholder` });
    }
    const slicedOptions = options.slice(0, 4);

    return {
      text: q.text || "Untitled Question",
      options: slicedOptions,
      correctOptionId: q.correctOptionId || 'opt-1',
      category: q.category || 'General',
      difficulty: q.difficulty || 'medium',
      tags: q.tags || []
    } as Question;
  }
}