def handler(event, context):
# config values
USERNAME = os.getenv('USERNAME')
PASSWORD = os.getenv('PASSWORD')
QUEUENAME = os.getenv('QUEUENAME')
S3BUCKET = os.getenv('S3BUCKET')
prefix = os.getenv('prefix')
cacheprefix = prefix + 'cache/'
cache = Cache(S3BUCKET, cacheprefix)
sqs = boto3.client('sqs')
print(event)
print(context)
print(USERNAME)
print(PASSWORD)
print(QUEUENAME)
print(S3BUCKET)
print(prefix)
print(cache)
# get list of recent arlo media objects from past 7 days
arlo = Arlo(USERNAME, PASSWORD)
today = (date.today() - timedelta(days=0)).strftime("%Y%m%d")
seven_days_ago = (date.today() - timedelta(days=7)).strftime("%Y%m%d")
library = arlo.GetLibrary(seven_days_ago, today)
# only process library items that have arrived since our last processing time
latest_saved_media_timestamp = cache.get('latest_saved_media_timestamp')
library = [
l for l in library if l['lastModified'] > latest_saved_media_timestamp
]
if len(library) > 0:
latest_saved_media_timestamp = max(
[l['lastModified'] for l in library])
cameras = arlo.GetDevices('camera')
camera_id2name = {}
for c in cameras:
camera_id2name[c['deviceId']] = c['deviceName']
for media in library:
camera_name = camera_id2name.get(media['deviceId'], 'unknown_device')
filename = camera_name + '_' + datetime.datetime.fromtimestamp(
int(media['name']) // 1000).strftime('%Y-%m-%d %H-%M-%S')
message = {
"media": media,
"metadata": {
"s3bucket": S3BUCKET,
"content_key": prefix + 'media/' + filename + '.mp4',
"thumbnail_key":
prefix + 'media/' + filename + '_thumbnail.jpg'
}
}
print(message)
response = sqs.send_message(QueueUrl=QUEUENAME,
MessageBody=json.dumps(message))
cache.set('latest_saved_media_timestamp', latest_saved_media_timestamp,
3600 * 24 * 30)
import os.path
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.
today = (date.today()-timedelta(days=0)).strftime("%Y%m%d")
seven_days_ago = (date.today()-timedelta(days=7)).strftime("%Y%m%d")
# Get all of the recordings for a date range.
library = arlo.GetLibrary(seven_days_ago, today)
# Iterate through the recordings in the library.
for recording in library:
videofilename = datetime.datetime.fromtimestamp(int(recording['name'])//1000).strftime('%Y-%m-%d %H-%M-%S') + ' ' + recording['uniq$
##
# The videos produced by Arlo are pretty small, even in their longest, best quality settings,
# but you should probably prefer the chunked stream (see below).
# # Download the whole video into memory as a single chunk.
# video = arlo.GetRecording(recording['presignedContentUrl'])
# with open('videos/'+videofilename, 'wb') as f:
# f.write(video)
# f.close()
# Or:
#
f.close()
return
if __name__ == "__main__":
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)
today = (date.today() - timedelta(days=0)).strftime("%Y%m%d")
yesterday = (date.today() - timedelta(days=1)).strftime("%Y%m%d")
# Get all of the recordings for a date range.
library = arlo.GetLibrary(yesterday, today)
# Get most recent 4 videos in the library.
for num in range(4):
recording = library[num]
vfname = "media/video" + str(num + 1) + ".mp4"
writeVideoFile(arlo, recording, vfname)
print("Successfully downloaded and updated 4 videos")
except Exception as e:
print(e)
execution_path = os.getcwd()
firstVideo = False
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.
today = (date.today() - timedelta(days=0)).strftime("%Y%m%d")
seven_days_ago = (date.today() - timedelta(days=7)).strftime("%Y%m%d")
# Get all of the recordings for a date range.
library = arlo.GetLibrary(today, today)
# Iterate through the recordings in the library.
for recording in library:
videoinfo = recording
datevideo = datetime.datetime.fromtimestamp(
int(recording['name']) // 1000,
pytz.timezone("UTC")).strftime('%Y-%m-%d %H:%M:%S')
videofilename = datetime.datetime.fromtimestamp(
int(recording['name']) // 1000).strftime(
'%Y-%m-%d %H-%M-%S') + ' ' + recording['uniqueId'] + '.mp4'
##
# The videos produced by Arlo are pretty small, even in their longest, best quality settings,
# but you should probably prefer the chunked stream (see below).
###
# # Download the whole video into memory as a single chunk.