def click_picture_from_arlo(
ctx,
folder,
filetag,
username,
password):
# Instantiating the Arlo object automatically calls Login(),
# which returns an oAuth token that gets cached.
# Subsequent successful calls to login will update the oAuth token.
arlo = Arlo(username, password)
# Get the list of devices and filter on device type to only get the basestation.
# This will return an array which includes all of the basestation's associated metadata.
basestations = arlo.GetDevices('basestation')
# Get the list of devices and filter on device type to only get the camera.
# This will return an array which includes all of the camera's associated metadata.
cameras = arlo.GetDevices('camera')
# Tells the Arlo basestation to trigger a snapshot on the given camera.
# This snapshot is not instantaneous, so this method waits for the response and returns the url
# for the snapshot, which is stored on the Amazon AWS servers.
snapshot_url = arlo.TriggerFullFrameSnapshot(basestations[0], cameras[0])
# This method requests the snapshot for the given url and writes the image data to the location specified.
# Note: Snapshots are in .jpg format.
timestamp = datetime.datetime.now().strftime('%Y%m%d%H%M%S')
filename = filetag + '_' + str(timestamp) + '.jpg'
filepath = folder + '\\' + filename
arlo.DownloadSnapshot(snapshot_url, filepath)
ctx.obj['path-to-picture'] = filepath
ctx.obj['filename'] = filename
print('Downloaded snapshot to ' + filepath)
def _capture(self):
print(f'Starting capture.')
try:
arlo = Arlo(self._username, self._password)
base_stations = arlo.GetDevices('basestation')
cameras = arlo.GetDevices('camera', filter_provisioned=True)
for camera in cameras:
name = camera['deviceName']
if self._camera_names is not None and name not in self._camera_names:
continue
print(f'- Taking snapshot from {name}')
url = arlo.TriggerFullFrameSnapshot(base_stations[0], camera)
if url is not None:
file_name = name + '_' + str(time.time())
file_name = file_name.replace(' ', '_')
arlo.DownloadSnapshot(
url, f'{self._snapshot_dir }/{file_name}.jpg')
else:
print(f'-- Snapshot failed from {name}.')
except HTTPError as e:
print(f'Error during capture: {e}.')
def get_snapshot():
while True:
try:
snapshot_url = camera_selenium.get_url_selenium()
# print(snapshot_url)
username, password = util.get_creds()
# print(username)
arlo = Arlo(username, password)
arlo.DownloadSnapshot(snapshot_url, 'temp.jpg')
img = cv2.imread('temp.jpg')
img = cv2.resize(img, (1000, 500))
return img
except Exception as e:
print(e)
USERNAME = '******'
PASSWORD = '******'
try:
# Instantiating the Arlo object automatically calls Login(), which returns an oAuth token that gets cached.
# Subsequent successful calls to login will update the oAuth token.
arlo = Arlo(USERNAME, PASSWORD)
# At this point you're logged into Arlo.
# Get the list of devices and filter on device type to only get the basestation.
# This will return an array which includes all of the basestation's associated metadata.
basestations = arlo.GetDevices('basestation')
# Get the list of devices and filter on device type to only get the camera.
# This will return an array which includes all of the camera's associated metadata.
cameras = arlo.GetDevices('camera')
# Tells the Arlo basestation to trigger a snapshot on the given camera.
# This snapshot is not instantaneous, so this method waits for the response and returns the url
# for the snapshot, which is stored on the Amazon AWS servers.
snapshot_url = arlo.TriggerFullFrameSnapshot(basestations[0], cameras[0])
# This method requests the snapshot for the given url and writes the image data to the location specified.
# In this case, to the current directory as a file named "snapshot.jpg"
# Note: Snapshots are in .jpg format.
arlo.DownloadSnapshot(snapshot_url, 'snapshot.jpg')
except Exception as e:
print(e)
# Get the list of devices and filter on device type to only get the basestation.
# This will return an array which includes all of the basestation's associated metadata.
basestations = arlo.GetDevices('basestation')
# Get the list of devices and filter on device type to only get the camera.
# This will return an array which includes all of the camera's associated metadata.
cameras = arlo.GetDevices('camera')
for camera in list(
filter(lambda camera: camera['deviceName'] == 'muis', cameras)):
# Tells the Arlo basestation to trigger a snapshot on the given camera.
# This snapshot is not instantaneous, so this method waits for the response and returns the url
# for the snapshot, which is stored on the Amazon AWS servers.
snapshot_url = arlo.TriggerFullFrameSnapshot(basestations[0], camera)
datetime = strftime("%Y%m%d_%H%M%S", gmtime())
directory = './timelaps/' + camera['deviceName'] + '/'
# create dir if not exists
if not os.path.exists(directory):
os.makedirs(directory)
# This method requests the snapshot for the given url and writes the image data to the location specified.
# In this case, to the current directory as a file named "snapshot.jpg"
# Note: Snapshots are in .jpg format.
arlo.DownloadSnapshot(snapshot_url, directory + datetime + '.jpg')
time.sleep(20)
except Exception as e:
print(e)