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60 lines
2.1 KiB
Python
60 lines
2.1 KiB
Python
from arlo import Arlo
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from datetime import timedelta, date
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import datetime
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import sys, os
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sys.path.append('..')
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#import json
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USERNAME = 'user@example.com'
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PASSWORD = 'supersecretpassword'
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videopath = 'videos'
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try:
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# Instantiating the Arlo object automatically calls Login(), which returns an oAuth token that gets cached.
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# Subsequent successful calls to login will update the oAuth token.
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arlo = Arlo(USERNAME, PASSWORD)
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# At this point you're logged into Arlo.
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today = (date.today() - timedelta(days=0)).strftime("%Y%m%d")
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seven_days_ago = (date.today() - timedelta(days=7)).strftime("%Y%m%d")
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# Get all of the recordings for a date range.
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library = arlo.GetLibrary(seven_days_ago, today)
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# Check if videos folder already exists
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if not os.path.exists(videopath):
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os.makedirs(videopath)
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# Iterate through the recordings in the library.
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for recording in library:
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# Get video as a chunked stream; this function returns a generator.
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stream = arlo.StreamRecording(recording['presignedContentUrl'])
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videofilename = datetime.datetime.fromtimestamp(
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int(recording['name']) // 1000).strftime(
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'%Y-%m-%d %H-%M-%S') + ' ' + recording['uniqueId'] + '.mp4'
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with open(videopath + '/' + videofilename, 'wb') as f:
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for chunk in stream:
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f.write(chunk)
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f.close()
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print('Downloaded video ' + videofilename + ' from ' +
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recording['createdDate'] + '.')
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# Use the following line to print all the data we got for the recording.
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#print(json.dumps(recording, indent = 4))
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# Delete all of the videos you just downloaded from the Arlo library.
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# Notice that you can pass the "library" object we got back from the GetLibrary() call.
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#result = arlo.BatchDeleteRecordings(library)
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# If we made it here without an exception, then the videos were successfully deleted.
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#print ('Batch deletion of videos completed successfully.')
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arlo.Logout()
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print('Logged out')
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except Exception as e:
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print(e)
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