الميزات: إضافة أدوات جديدة لمعالجة ملفات PDF، تشمل التلخيص والترجمة واستخراج الجداول.

- تفعيل مكون SummarizePdf لإنشاء ملخصات PDF باستخدام الذكاء الاصطناعي.

- تفعيل مكون TranslatePdf لترجمة محتوى PDF إلى لغات متعددة.

- تفعيل مكون TableExtractor لاستخراج الجداول من ملفات PDF.

- تحديث الصفحة الرئيسية والتوجيه ليشمل الأدوات الجديدة.

- إضافة ترجمات للأدوات الجديدة باللغات الإنجليزية والعربية والفرنسية.

- توسيع أنواع واجهة برمجة التطبيقات (API) لدعم الميزات الجديدة المتعلقة بمعالجة ملفات PDF. --feat: Initialize frontend with React, Vite, and Tailwind CSS

- Set up main entry point for React application.
- Create About, Home, NotFound, Privacy, and Terms pages with SEO support.
- Implement API service for file uploads and task management.
- Add global styles using Tailwind CSS.
- Create utility functions for SEO and text processing.
- Configure Vite for development and production builds.
- Set up Nginx configuration for serving frontend and backend.
- Add scripts for cleanup of expired files and sitemap generation.
- Implement deployment script for production environment.

backend/app/routes/pdf_ai.py

@@ -0,0 +1,232 @@
+"""PDF AI tool routes — Chat, Summarize, Translate, Table Extract."""
+from flask import Blueprint, request, jsonify
+
+from app.extensions import limiter
+from app.services.policy_service import (
+    assert_quota_available,
+    build_task_tracking_kwargs,
+    PolicyError,
+    record_accepted_usage,
+    resolve_web_actor,
+    validate_actor_file,
+)
+from app.utils.file_validator import FileValidationError
+from app.utils.sanitizer import generate_safe_path
+from app.tasks.pdf_ai_tasks import (
+    chat_with_pdf_task,
+    summarize_pdf_task,
+    translate_pdf_task,
+    extract_tables_task,
+)
+
+pdf_ai_bp = Blueprint("pdf_ai", __name__)
+
+
+# ---------------------------------------------------------------------------
+# Chat with PDF — POST /api/pdf-ai/chat
+# ---------------------------------------------------------------------------
+@pdf_ai_bp.route("/chat", methods=["POST"])
+@limiter.limit("10/minute")
+def chat_pdf_route():
+    """
+    Ask a question about a PDF document.
+
+    Accepts: multipart/form-data with:
+        - 'file': PDF file
+        - 'question': The question to ask
+    Returns: JSON with task_id for polling
+    """
+    if "file" not in request.files:
+        return jsonify({"error": "No file provided."}), 400
+
+    file = request.files["file"]
+    question = request.form.get("question", "").strip()
+
+    if not question:
+        return jsonify({"error": "No question provided."}), 400
+
+    actor = resolve_web_actor()
+    try:
+        assert_quota_available(actor)
+    except PolicyError as e:
+        return jsonify({"error": e.message}), e.status_code
+
+    try:
+        original_filename, ext = validate_actor_file(
+            file, allowed_types=["pdf"], actor=actor
+        )
+    except FileValidationError as e:
+        return jsonify({"error": e.message}), e.code
+
+    task_id, input_path = generate_safe_path(ext, folder_type="upload")
+    file.save(input_path)
+
+    task = chat_with_pdf_task.delay(
+        input_path,
+        task_id,
+        original_filename,
+        question,
+        **build_task_tracking_kwargs(actor),
+    )
+    record_accepted_usage(actor, "chat-pdf", task.id)
+
+    return jsonify({
+        "task_id": task.id,
+        "message": "Processing your question. Poll /api/tasks/{task_id}/status for progress.",
+    }), 202
+
+
+# ---------------------------------------------------------------------------
+# Summarize PDF — POST /api/pdf-ai/summarize
+# ---------------------------------------------------------------------------
+@pdf_ai_bp.route("/summarize", methods=["POST"])
+@limiter.limit("10/minute")
+def summarize_pdf_route():
+    """
+    Generate a summary of a PDF document.
+
+    Accepts: multipart/form-data with:
+        - 'file': PDF file
+        - 'length' (optional): "short", "medium", or "long"
+    Returns: JSON with task_id for polling
+    """
+    if "file" not in request.files:
+        return jsonify({"error": "No file provided."}), 400
+
+    file = request.files["file"]
+    length = request.form.get("length", "medium").strip()
+
+    if length not in ("short", "medium", "long"):
+        length = "medium"
+
+    actor = resolve_web_actor()
+    try:
+        assert_quota_available(actor)
+    except PolicyError as e:
+        return jsonify({"error": e.message}), e.status_code
+
+    try:
+        original_filename, ext = validate_actor_file(
+            file, allowed_types=["pdf"], actor=actor
+        )
+    except FileValidationError as e:
+        return jsonify({"error": e.message}), e.code
+
+    task_id, input_path = generate_safe_path(ext, folder_type="upload")
+    file.save(input_path)
+
+    task = summarize_pdf_task.delay(
+        input_path,
+        task_id,
+        original_filename,
+        length,
+        **build_task_tracking_kwargs(actor),
+    )
+    record_accepted_usage(actor, "summarize-pdf", task.id)
+
+    return jsonify({
+        "task_id": task.id,
+        "message": "Summarizing document. Poll /api/tasks/{task_id}/status for progress.",
+    }), 202
+
+
+# ---------------------------------------------------------------------------
+# Translate PDF — POST /api/pdf-ai/translate
+# ---------------------------------------------------------------------------
+@pdf_ai_bp.route("/translate", methods=["POST"])
+@limiter.limit("10/minute")
+def translate_pdf_route():
+    """
+    Translate a PDF document to another language.
+
+    Accepts: multipart/form-data with:
+        - 'file': PDF file
+        - 'target_language': Target language name
+    Returns: JSON with task_id for polling
+    """
+    if "file" not in request.files:
+        return jsonify({"error": "No file provided."}), 400
+
+    file = request.files["file"]
+    target_language = request.form.get("target_language", "").strip()
+
+    if not target_language:
+        return jsonify({"error": "No target language specified."}), 400
+
+    actor = resolve_web_actor()
+    try:
+        assert_quota_available(actor)
+    except PolicyError as e:
+        return jsonify({"error": e.message}), e.status_code
+
+    try:
+        original_filename, ext = validate_actor_file(
+            file, allowed_types=["pdf"], actor=actor
+        )
+    except FileValidationError as e:
+        return jsonify({"error": e.message}), e.code
+
+    task_id, input_path = generate_safe_path(ext, folder_type="upload")
+    file.save(input_path)
+
+    task = translate_pdf_task.delay(
+        input_path,
+        task_id,
+        original_filename,
+        target_language,
+        **build_task_tracking_kwargs(actor),
+    )
+    record_accepted_usage(actor, "translate-pdf", task.id)
+
+    return jsonify({
+        "task_id": task.id,
+        "message": "Translating document. Poll /api/tasks/{task_id}/status for progress.",
+    }), 202
+
+
+# ---------------------------------------------------------------------------
+# Extract Tables — POST /api/pdf-ai/extract-tables
+# ---------------------------------------------------------------------------
+@pdf_ai_bp.route("/extract-tables", methods=["POST"])
+@limiter.limit("10/minute")
+def extract_tables_route():
+    """
+    Extract tables from a PDF document.
+
+    Accepts: multipart/form-data with:
+        - 'file': PDF file
+    Returns: JSON with task_id for polling
+    """
+    if "file" not in request.files:
+        return jsonify({"error": "No file provided."}), 400
+
+    file = request.files["file"]
+
+    actor = resolve_web_actor()
+    try:
+        assert_quota_available(actor)
+    except PolicyError as e:
+        return jsonify({"error": e.message}), e.status_code
+
+    try:
+        original_filename, ext = validate_actor_file(
+            file, allowed_types=["pdf"], actor=actor
+        )
+    except FileValidationError as e:
+        return jsonify({"error": e.message}), e.code
+
+    task_id, input_path = generate_safe_path(ext, folder_type="upload")
+    file.save(input_path)
+
+    task = extract_tables_task.delay(
+        input_path,
+        task_id,
+        original_filename,
+        **build_task_tracking_kwargs(actor),
+    )
+    record_accepted_usage(actor, "extract-tables", task.id)
+
+    return jsonify({
+        "task_id": task.id,
+        "message": "Extracting tables. Poll /api/tasks/{task_id}/status for progress.",
+    }), 202