32 lines
1.2 KiB
Python
32 lines
1.2 KiB
Python
import asyncio
|
|
import random
|
|
from typing import Dict, Any
|
|
|
|
|
|
async def solve_cutting_problem(input_params: Dict[str, Any]) -> Dict[str, Any]:
|
|
"""
|
|
Асинхронная заглушка для имитации сложного расчета раскройки стекла.
|
|
Возвращает предопределенный или слегка измененный JSON-ответ.
|
|
"""
|
|
print(f"Received input for async fuzzy solver: {input_params}")
|
|
|
|
delay = random.uniform(0.5, 2.0)
|
|
print(f"Simulating calculation for {delay:.2f} seconds...")
|
|
await asyncio.sleep(delay)
|
|
|
|
output_data = {
|
|
"layout": [
|
|
{"piece_id": 1, "x": 10, "y": 10, "width": 500, "height": 300},
|
|
{"piece_id": 2, "x": 520, "y": 10, "width": 400, "height": 300},
|
|
|
|
],
|
|
"waste_percentage": round(random.uniform(5.0, 15.0), 2),
|
|
"number_of_cuts": random.randint(5, 20),
|
|
"processing_time_ms": int(delay * 1000)
|
|
}
|
|
|
|
if input_params.get("optimize_for") == "speed":
|
|
output_data["number_of_cuts"] = random.randint(15, 25)
|
|
|
|
print(f"Async fuzzy solver generated output: {output_data}")
|
|
return output_data |