def get_busy_points(request):
arr = []
with open('static/roads.json', 'r') as f:
file_data = load(f)
for copter in copters:
if copter.status != 'land':
try:
if copter.last_point != -1:
n = int(copter.path[0][:-1])
nav_point = file_data['points'][n]
nav_point['z'] = c.first_layer_height
if copter.path[0][-1:] == '0':
nav_point['z'] = c.first_layer_height
elif copter.path[0][-1:] == '1':
nav_point['z'] = c.second_layer_height
dist = get_distance(nav_point['x'], nav_point['y'],
nav_point['z'], copter.x, copter.y,
copter.z)
if dist > threshold:
arr.append(int(copter.last_point[:-1]))
except:
pass
try:
arr.append(int(copter.path[0][:-1]))
except:
pass
return JsonResponse({'busy': arr})
def get_nearest_point(c):
index = 0
min_dist = 9999999
with open('static/roads.json', 'r') as f:
data = load(f)
for i in range(0, len(data['points'])):
dist = get_distance(c.x, c.y, 0, data['points'][i]['x'],
data['points'][i]['y'], 0)
if min_dist > dist:
index = i
min_dist = dist
return index
def calc_path(path):
dist = 0
with open('static/roads.json', 'r') as f:
data = load(f)
for i in range(0, len(path[:-1])):
p1 = {
'x': data['points'][int(path[i][:-1])]['x'],
'y': data['points'][int(path[i][:-1])]['y'],
}
if path[i][-1] == 0:
p1['z'] = c.first_layer_height
else:
p1['z'] = c.second_layer_height
p2 = {
'x': data['points'][int(path[i + 1][:-1])]['x'],
'y': data['points'][int(path[i + 1][:-1])]['y'],
}
if path[i + 1][-1] == 0:
p2['z'] = c.first_layer_height
else:
p2['z'] = c.second_layer_height
dist += get_distance(p1['x'], p1['y'], p1['z'], p2['x'], p2['y'],
p2['z'])
return dist
def ask_taxi(request):
data = request.GET.dict()
busy = 0
points = []
for i in copters:
if i.path != []:
busy += 1
points.append(-1)
else:
points.append(get_nearest_point(i))
if busy == len(copters):
return JsonResponse({'m': 'busy'})
busy_points = []
for i in copters:
busy_points += i.busy_points
if str(data['o']) + '0' in busy_points or str(
data['t']) + '0' in busy_points:
return JsonResponse({'m': 'wrong'})
with open('static/roads.json', 'r') as f:
destination_point = load(f)['points'][int(data['t'])]
for copter in copters:
if copter.status == 'land':
if get_distance(copter.x, copter.y, 0, destination_point['x'],
destination_point['y'],
0) < nearest_copter_threshold:
return JsonResponse({'m': 'wrong'})
paths = []
for i in range(0, len(points)):
if points[i] != -1:
paths.append(
calc_path(
build_path(str(points[i]) + '0',
str(data['o']) + '0')))
else:
paths.append(9999999)
nearest_copter = copters[paths.index(min(paths))]
first_path = build_path(
str(get_nearest_point(nearest_copter)) + '0',
str(data['o']) + '0')
if len(first_path) != 1:
nearest_copter.path += first_path
nearest_copter.path.append('-1')
nearest_copter.busy_points += [
str(data['o']) + '0', str(data['t']) + '0'
]
else:
nearest_copter.busy_points += [str(data['t']) + '0']
nearest_copter.path += build_path(
str(data['o']) + '0',
str(data['t']) + '0')
r = lambda: random.randint(0, 255)
nearest_copter.led = '#%02X%02X%02X' % (r(), r(), r())
return JsonResponse({
'm': 'ok',
'color': nearest_copter.led,
'ip': nearest_copter.ip
})
