From 4d8cde2032af9a8bfe12e7f0f348a88609ab4d65 Mon Sep 17 00:00:00 2001 From: moxitech Date: Thu, 24 Oct 2024 14:42:17 +0700 Subject: [PATCH] python microservice --- src/microservices/py-simulation/.dockerignore | 1 + src/microservices/py-simulation/Dockerfile | 16 + src/microservices/py-simulation/main.py | 133 + src/microservices/py-simulation/map.mtl | 2 + src/microservices/py-simulation/map.obj | 474394 +++++++++++++++ 5 files changed, 474546 insertions(+) create mode 100644 src/microservices/py-simulation/.dockerignore create mode 100644 src/microservices/py-simulation/Dockerfile create mode 100644 src/microservices/py-simulation/main.py create mode 100644 src/microservices/py-simulation/map.mtl create mode 100644 src/microservices/py-simulation/map.obj diff --git a/src/microservices/py-simulation/.dockerignore b/src/microservices/py-simulation/.dockerignore new file mode 100644 index 0000000..b694934 --- /dev/null +++ b/src/microservices/py-simulation/.dockerignore @@ -0,0 +1 @@ +.venv \ No newline at end of file diff --git a/src/microservices/py-simulation/Dockerfile b/src/microservices/py-simulation/Dockerfile new file mode 100644 index 0000000..07fe051 --- /dev/null +++ b/src/microservices/py-simulation/Dockerfile @@ -0,0 +1,16 @@ +# Используем официальный образ Python +FROM python:3.12-slim + +# Устанавливаем рабочую директорию внутри контейнера +WORKDIR /app + +# Копируем requirements в контейнер и устанавливаем зависимости +COPY requirements.txt . +RUN pip install --no-cache-dir -r requirements.txt + +# Копируем весь код в контейнер +COPY . . +# Задаем переменные окружения для лучшего управления +ENV PYTHONUNBUFFERED=1 +# Команда для запуска приложения +CMD ["python", "main.py"] diff --git a/src/microservices/py-simulation/main.py b/src/microservices/py-simulation/main.py new file mode 100644 index 0000000..a28e136 --- /dev/null +++ b/src/microservices/py-simulation/main.py @@ -0,0 +1,133 @@ +import numpy as np +import json +import pywavefront +import asyncio +import websockets +from fastapi import FastAPI, HTTPException +from pydantic import BaseModel +import uvicorn + +app = FastAPI() + +class SimulationRequest(BaseModel): + map_obj_path: str + drones_data: str + base_stations_data: str + simulation_time: int + websocket_url: str + +class DroneNetworkSimulator: + def __init__(self, map_obj_path, drones_data, base_stations_data, simulation_time, websocket_url): + self.map_data = self.load_map(map_obj_path) + self.drones = self.load_drones(drones_data) + self.base_stations = self.load_base_stations(base_stations_data) + self.simulation_time = simulation_time + self.websocket_url = websocket_url + self.time_series_data = [] + + def load_map(self, map_obj_path): + # Используем pywavefront для загрузки .obj карты + scene = pywavefront.Wavefront(map_obj_path, collect_faces=True) + vertices = np.array(scene.vertices) + # Извлекаем высоты и используем минимальное количество вершин для представления высотной карты + z_values = vertices[:, 2] + grid_size = int(np.sqrt(len(z_values))) + map_data = z_values[:grid_size ** 2].reshape((grid_size, grid_size)) # Формируем карту с учетом размера данных + return map_data + + def load_drones(self, drones_data): + return json.loads(drones_data) + + def load_base_stations(self, base_stations_data): + return json.loads(base_stations_data) + + async def simulate(self): + async with websockets.connect(self.websocket_url) as websocket: + for t in range(self.simulation_time): + current_state = [] + for drone in self.drones: + self.update_drone_position(drone) + network_state = self.calculate_network_state(drone) + current_state.append({ + "drone_id": drone["id"], + "position": drone["position"], + "network_state": network_state, + "connected": network_state["connected_base_station"] is not None, + "network_speed": self.calculate_network_speed(network_state["signal_strength"]) + }) + self.time_series_data.append({"time": t, "state": current_state}) + await websocket.send(json.dumps({"time": t, "state": current_state})) + + def update_drone_position(self, drone): + # Обновление позиции дрона в зависимости от целевых точек следования + if "waypoints" in drone and drone["waypoints"]: + target = np.array(drone["waypoints"][0]) + current_position = np.array(drone["position"]) + direction = target - current_position + distance = np.linalg.norm(direction) + if distance <= drone.get("speed", 1): + # Достигнута целевая точка + drone["position"] = target.tolist() + drone["waypoints"].pop(0) # Удаляем достигнутую точку + else: + # Двигаемся в направлении целевой точки + direction = direction / distance # Нормализуем направление + new_position = current_position + direction * drone.get("speed", 1) + drone["position"] = new_position.tolist() + + def calculate_network_state(self, drone): + # Рассчитываем состояние сети, учитывая препятствия, частоту и радиус базовых станций + position = np.array(drone["position"]) + frequency = drone.get("frequency", 2.4) # Частота в GHz, по умолчанию 2.4 GHz + path_loss_exponent = drone.get("path_loss_exponent", 2.5) # Показатель затухания, заданный в JSON + obstacles_factor = self.calculate_obstacles_factor(position) + distance = np.linalg.norm(position) + signal_strength = 100 / (1 + (distance ** path_loss_exponent) * obstacles_factor * (1 / frequency)) + + # Проверяем подключение к базовой станции + connected_base_station = None + for base_station in self.base_stations: + base_position = np.array(base_station["position"]) + base_radius = base_station.get("radius", 50) # Радиус действия базовой станции по умолчанию 50 + base_distance = np.linalg.norm(position - base_position) + if base_distance <= base_radius: + connected_base_station = base_station["id"] + break + + return { + "signal_strength": signal_strength, + "connected_base_station": connected_base_station + } + + def calculate_network_speed(self, signal_strength): + # Рассчитываем скорость сети в зависимости от уровня сигнала (упрощенная модель) + max_speed = 100.0 # Максимальная скорость сети в Mbps + return max_speed * (signal_strength / 100) + + def calculate_obstacles_factor(self, position): + # Фактор, учитывающий препятствия на карте, влияющие на затухание + x, y, z = int(position[0]), int(position[1]), int(position[2]) + if 0 <= x < self.map_data.shape[0] and 0 <= y < self.map_data.shape[1]: + height_at_point = self.map_data[x, y] + if z < height_at_point: + # Если дрон находится ниже препятствия, затухание выше + return 5.0 + return 1.0 + +@app.post("/start_simulation") +async def start_simulation(request: SimulationRequest): + try: + simulator = DroneNetworkSimulator( + request.map_obj_path, + request.drones_data, + request.base_stations_data, + request.simulation_time, + request.websocket_url + ) + await simulator.simulate() + return {"status": "Simulation started and results are being sent via WebSocket."} + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) + +if __name__ == "__main__": + uvicorn.run(app, host="0.0.0.0", port=10000) diff --git a/src/microservices/py-simulation/map.mtl b/src/microservices/py-simulation/map.mtl new file mode 100644 index 0000000..4704186 --- /dev/null +++ b/src/microservices/py-simulation/map.mtl @@ -0,0 +1,2 @@ +# Blender 4.2.3 LTS MTL File: 'None' +# www.blender.org diff --git a/src/microservices/py-simulation/map.obj b/src/microservices/py-simulation/map.obj new file mode 100644 index 0000000..d9ce2a9 --- /dev/null +++ b/src/microservices/py-simulation/map.obj @@ -0,0 +1,474394 @@ +# Blender 4.2.3 LTS +# www.blender.org +mtllib map.mtl +o Plane +v 0.000545 -0.892714 19.801041 +v 9.900517 -0.394065 9.900517 +v -4.950258 -0.999462 19.801035 +v -4.951495 -1.068491 -0.016347 +v 4.987965 -0.087018 4.950296 +v -2.475129 -0.445829 19.801035 +v 2.457468 -1.044851 -0.001772 +v 0.002995 -0.739003 -7.429757 +v 2.475129 -0.807025 19.801035 +v -0.000357 -0.617873 17.302504 +v 9.879282 -1.108697 7.375458 +v -2.475129 -0.541256 9.900517 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