smart_tasks.py

import math
import numpy as np
import time

def prime_calculation(n: int):
    """ترجع قائمة الأعداد الأوليّة حتى n مع عددها"""
    primes = []
    for num in range(2, n + 1):
        if all(num % p != 0 for p in range(2, int(math.sqrt(num)) + 1)):
            primes.append(num)
    return {"count": len(primes), "primes": primes}

def matrix_multiply(size: int):
    """ضرب مصفوفات عشوائيّة (size × size)"""
    A = np.random.rand(size, size)
    B = np.random.rand(size, size)
    result = np.dot(A, B)  # يمكن أيضًا: A @ B
    return {"result": result.tolist()}

def data_processing(data_size: int):
    """تنفيذ معالجة بيانات بسيطة كتجربة"""
    data = np.random.rand(data_size)
    mean = np.mean(data)
    std_dev = np.std(data)
    return {"mean": mean, "std_dev": std_dev}

def image_processing_emulation(iterations):
    """محاكاة معالجة الصور"""
    results = []
    for i in range(iterations):
        fake_processing = sum(math.sqrt(x) for x in range(i * 100, (i + 1) * 100))
        results.append(fake_processing)
        time.sleep(0.01)
    return {"iterations": iterations, "results": results}

# مهام معالجة الفيديو والألعاب ثلاثية الأبعاد
def video_format_conversion(duration_seconds, quality_level, input_format="mp4", output_format="avi"):
    """تحويل صيغة الفيديو"""
    import time
    start_time = time.time()
    processing_time = duration_seconds * quality_level * 0.05  # معالجة أسرع للخادم
    time.sleep(min(processing_time, 1))  # محدود بثانية واحدة

    return {
        "status": "success",
        "input_format": input_format,
        "output_format": output_format,
        "duration": duration_seconds,
        "quality": quality_level,
        "processing_time": time.time() - start_time,
        "server_processed": True
    }

def video_effects_processing(video_length, effects_count, resolution="1080p"):
    """معالجة تأثيرات الفيديو"""
    import time
    start_time = time.time()

    resolution_multiplier = {"480p": 1, "720p": 2, "1080p": 3, "4K": 5}
    multiplier = resolution_multiplier.get(resolution, 2)
    processing_time = video_length * effects_count * multiplier * 0.03

    time.sleep(min(processing_time, 1.5))

    return {
        "status": "success",
        "video_length": video_length,
        "effects_count": effects_count,
        "resolution": resolution,
        "processing_time": time.time() - start_time,
        "server_processed": True
    }

def render_3d_scene(objects_count, resolution_width, resolution_height, 
                   lighting_quality="medium", texture_quality="high"):
    """رندر مشهد ثلاثي الأبعاد"""
    import time
    start_time = time.time()

    complexity = objects_count * (resolution_width * resolution_height) / 2000000  # تقليل التعقيد للخادم
    processing_time = complexity * 0.02

    time.sleep(min(processing_time, 2))

    fps = max(30, 120 - (complexity * 5))  # أداء أفضل للخادم

    return {
        "status": "success",
        "objects_rendered": objects_count,
        "resolution": f"{resolution_width}x{resolution_height}",
        "lighting_quality": lighting_quality,
        "texture_quality": texture_quality,
        "estimated_fps": round(fps, 1),
        "processing_time": time.time() - start_time,
        "server_processed": True
    }

def physics_simulation(objects_count, frames_count, physics_quality="medium"):
    """محاكاة الفيزياء"""
    import time
    start_time = time.time()

    quality_multiplier = {"low": 1, "medium": 2, "high": 4, "ultra": 8}
    multiplier = quality_multiplier.get(physics_quality, 2)

    calculations = objects_count * frames_count * multiplier
    processing_time = calculations / 200000  # أسرع للخادم

    time.sleep(min(processing_time, 1.5))

    return {
        "status": "success",
        "objects_simulated": objects_count,
        "frames_processed": frames_count,
        "physics_quality": physics_quality,
        "calculations_performed": calculations,
        "processing_time": time.time() - start_time,
        "server_processed": True
    }

def game_ai_processing(ai_agents_count, decision_complexity, game_state_size):
    """معالجة ذكاء اصطناعي للألعاب"""
    import time
    start_time = time.time()

    total_operations = ai_agents_count * decision_complexity * game_state_size
    processing_time = total_operations / 100000  # أسرع للخادم

    time.sleep(min(processing_time, 1))

    return {
        "status": "success",
        "ai_agents": ai_agents_count,
        "decision_complexity": decision_complexity,
        "total_operations": total_operations,
        "processing_time": time.time() - start_time,
        "server_processed": True
    }