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AirTrapMine/src/GUI/validation/test_mission.py

299 lines
9.5 KiB
Python

#!/usr/bin/env python3
"""
獨立測試腳本 — 驗證 MissionExecutor + MavlinkSender 在 SITL 環境下的運作
使用方式:
1. 啟動 SITL
2. 修改下方 CONFIG 區塊
3. python3 test_mission.py
"""
import sys, os
sys.path.insert(0, os.path.join(os.path.dirname(os.path.abspath(__file__)), '..'))
import time
from pymavlink import mavutil
from PyQt6.QtWidgets import QApplication
from PyQt6.QtCore import QTimer
from mission_planner import FormationPlanner, MissionType
from command_sender import MavlinkSender
from mission_executor import MissionExecutor, MissionState
# ================================================================================
# CONFIG
# ================================================================================
# 接收用連線 (讀取無人機狀態)
RECV_CONNECTION = "udp:127.0.0.1:14550"
# 發送用連線 (發送 setpoint 指令)
SEND_CONNECTION = "udpout:127.0.0.1:14550"
# 要控制的無人機 sysid 列表
DRONE_SYSIDS = [1]
# 起飛高度 (公尺)
TAKEOFF_ALT = 10.0
# 任務規劃參數
FORMATION_SPACING = 5.0
BASE_ALTITUDE = 10.0
ALTITUDE_DIFF = 2.0
ARRIVAL_RADIUS = 2.0
# 測試模式: "formation" 或 "grid_sweep"
TEST_MODE = "formation"
# Grid Sweep 專用設定
GRID_LINE_SPACING = 5.0
# ================================================================================
class SITLDroneManager:
"""管理 SITL 無人機的連線、起飛前置作業"""
def __init__(self, connection_string, sysids):
self.connection_string = connection_string
self.sysids = sysids
self.mav = None
self.drone_gps = {}
def connect(self):
"""建立 MAVLink 連線並等待心跳"""
print(f"連線到 {self.connection_string} ...")
self.mav = mavutil.mavlink_connection(self.connection_string)
self.mav.wait_heartbeat()
print(f"已收到心跳: sysid={self.mav.target_system}, compid={self.mav.target_component}")
def set_guided_and_arm(self, sysid):
"""切換到 GUIDED 模式並解鎖"""
print(f"\n--- sysid={sysid}: 切換 GUIDED + 解鎖 ---")
# 切換 GUIDED 模式
self.mav.mav.command_long_send(
sysid, 1,
mavutil.mavlink.MAV_CMD_DO_SET_MODE,
0,
mavutil.mavlink.MAV_MODE_FLAG_CUSTOM_MODE_ENABLED,
4, # GUIDED = 4
0, 0, 0, 0, 0
)
time.sleep(1)
# 解鎖
self.mav.mav.command_long_send(
sysid, 1,
mavutil.mavlink.MAV_CMD_COMPONENT_ARM_DISARM,
0, 1, 0, 0, 0, 0, 0, 0
)
time.sleep(1)
print(f" sysid={sysid}: GUIDED + ARMED")
def takeoff(self, sysid, altitude):
"""起飛到指定高度"""
print(f" sysid={sysid}: 起飛到 {altitude}m ...")
self.mav.mav.command_long_send(
sysid, 1,
mavutil.mavlink.MAV_CMD_NAV_TAKEOFF,
0, 0, 0, 0, 0, 0, 0, altitude
)
def wait_for_altitude(self, sysid, target_alt, timeout=30):
"""等待無人機到達指定高度"""
print(f" sysid={sysid}: 等待到達 {target_alt}m ...")
start = time.time()
while time.time() - start < timeout:
msg = self.mav.recv_match(type='GLOBAL_POSITION_INT', blocking=True, timeout=1)
if msg and msg.get_srcSystem() == sysid:
alt = msg.relative_alt / 1000.0
if alt >= target_alt * 0.9:
print(f" sysid={sysid}: 已到達 {alt:.1f}m")
return True
print(f" sysid={sysid}: 等待超時!")
return False
def update_gps_once(self):
"""讀取一輪 GPS 資料更新 drone_gps"""
deadline = time.time() + 3
received = set()
while time.time() < deadline and len(received) < len(self.sysids):
msg = self.mav.recv_match(type='GLOBAL_POSITION_INT', blocking=True, timeout=1)
if msg is None:
continue
sid = msg.get_srcSystem()
if sid in self.sysids:
drone_id = f"s0_{sid}"
self.drone_gps[drone_id] = {
'lat': msg.lat / 1e7,
'lon': msg.lon / 1e7,
'alt': msg.relative_alt / 1000.0
}
received.add(sid)
for sid in self.sysids:
drone_id = f"s0_{sid}"
if drone_id in self.drone_gps:
gps = self.drone_gps[drone_id]
print(f" {drone_id}: ({gps['lat']:.6f}, {gps['lon']:.6f}, {gps['alt']:.1f}m)")
else:
print(f" {drone_id}: 尚未收到 GPS")
def start_gps_polling(self, interval_ms=200):
"""啟動定時 GPS 輪詢 (用 QTimer)"""
self._gps_timer = QTimer()
self._gps_timer.timeout.connect(self._poll_gps)
self._gps_timer.start(interval_ms)
def _poll_gps(self):
"""非阻塞方式讀取最新 GPS"""
while True:
msg = self.mav.recv_match(type='GLOBAL_POSITION_INT', blocking=False)
if msg is None:
break
sid = msg.get_srcSystem()
if sid in self.sysids:
drone_id = f"s0_{sid}"
self.drone_gps[drone_id] = {
'lat': msg.lat / 1e7,
'lon': msg.lon / 1e7,
'alt': msg.relative_alt / 1000.0
}
def main():
# 建立 Qt 應用 (MissionExecutor 需要 QTimer)
app = QApplication(sys.argv)
# 連線 + 起飛前置作業
manager = SITLDroneManager(RECV_CONNECTION, DRONE_SYSIDS)
manager.connect()
for sysid in DRONE_SYSIDS:
manager.set_guided_and_arm(sysid)
manager.takeoff(sysid, TAKEOFF_ALT)
# 等待所有無人機到達起飛高度
for sysid in DRONE_SYSIDS:
manager.wait_for_altitude(sysid, TAKEOFF_ALT)
time.sleep(2)
# 讀取當前 GPS 位置
print("\n讀取當前 GPS 位置 ...")
manager.update_gps_once()
drone_ids = [f"s0_{sid}" for sid in DRONE_SYSIDS]
drone_gps_positions = []
for drone_id in drone_ids:
gps = manager.drone_gps.get(drone_id)
if gps is None:
print(f"錯誤: 讀不到 {drone_id} 的 GPS")
return
drone_gps_positions.append((gps['lat'], gps['lon'], gps['alt']))
# 規劃任務
print(f"\n規劃任務 (模式: {TEST_MODE}) ...")
planner = FormationPlanner(
spacing=FORMATION_SPACING,
base_altitude=BASE_ALTITUDE,
altitude_diff=ALTITUDE_DIFF
)
center_lat = drone_gps_positions[0][0]
center_lon = drone_gps_positions[0][1]
if TEST_MODE == "formation":
target_lat = center_lat + 30.0 / 111000.0
target_lon = center_lon
target_gps = (target_lat, target_lon, BASE_ALTITUDE)
print(f" 目標點: ({target_lat:.6f}, {target_lon:.6f})")
waypoints_per_drone, origin, _ = planner.plan_formation_mission(
drone_gps_positions, target_gps, MissionType.M_FORMATION
)
elif TEST_MODE == "grid_sweep":
# 在無人機前方 30m 處建立 40m x 30m 的矩形
offset_lat = 30.0 / 111000.0
half_w = 20.0 / (111000.0 * 0.9)
half_h = 15.0 / 111000.0
rect_center_lat = center_lat + offset_lat
rect_center_lon = center_lon
rect_corners = [
(rect_center_lat - half_h, rect_center_lon - half_w),
(rect_center_lat - half_h, rect_center_lon + half_w),
(rect_center_lat + half_h, rect_center_lon + half_w),
(rect_center_lat + half_h, rect_center_lon - half_w),
]
target_gps = (rect_center_lat, rect_center_lon, BASE_ALTITUDE)
print(f" 矩形中心: ({rect_center_lat:.6f}, {rect_center_lon:.6f})")
waypoints_per_drone, origin, _ = planner.plan_formation_mission(
drone_gps_positions, target_gps, MissionType.GRID_SWEEP,
params={
'rect_corners': rect_corners,
'line_spacing': GRID_LINE_SPACING,
'altitude': BASE_ALTITUDE
}
)
else:
print(f"未知測試模式: {TEST_MODE}")
return
planned_waypoints = {
'drone_ids': drone_ids,
'waypoints': waypoints_per_drone
}
# 印出規劃結果
for i, did in enumerate(drone_ids):
wps = waypoints_per_drone[i]
print(f" {did}: {len(wps)} 個航點")
for j, wp in enumerate(wps):
print(f" WP{j}: ({wp[0]:.6f}, {wp[1]:.6f}, {wp[2]:.1f}m)")
# 啟動任務
print("\n啟動任務 ...")
manager.start_gps_polling(interval_ms=200)
sender = MavlinkSender(SEND_CONNECTION)
executor = MissionExecutor(
sender=sender,
drone_gps=manager.drone_gps,
arrival_radius=ARRIVAL_RADIUS,
send_rate_hz=2.0
)
executor.drone_waypoint_reached.connect(
lambda did, idx, total: print(f"\n >> {did} 到達 WP {idx}/{total}")
)
executor.mission_completed.connect(
lambda: (print("\n===== 任務全部完成 ====="), app.quit())
)
# 設定超時自動退出
timeout_timer = QTimer()
timeout_timer.setSingleShot(True)
timeout_timer.timeout.connect(lambda: (
print("\n⚠ 測試超時,強制退出"),
executor.stop(),
app.quit()
))
timeout_timer.start(180_000) # 180 秒超時
executor.start(planned_waypoints)
print("進入事件迴圈 (等待任務完成或 180 秒超時) ...\n")
app.exec()
executor.stop()
sender.close()
print("測試結束")
if __name__ == "__main__":
main()