format whitespace
This commit is contained in:
+8
-8
@@ -5,13 +5,13 @@ from oauth2client.client import OAuth2WebServerFlow
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from oauth2client.tools import run_flow, argparser
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def main():
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client_id = sys.argv[1]
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client_secret = sys.argv[2]
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scope = sys.argv[3]
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flow = OAuth2WebServerFlow(client_id, client_secret, scope)
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storage = Storage('google.json')
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flags = argparser.parse_args([])
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run_flow(flow, storage, flags)
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client_id = sys.argv[1]
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client_secret = sys.argv[2]
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scope = sys.argv[3]
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flow = OAuth2WebServerFlow(client_id, client_secret, scope)
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storage = Storage('google.json')
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flags = argparser.parse_args([])
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run_flow(flow, storage, flags)
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if __name__ == '__main__':
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main()
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main()
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+94
-94
@@ -14,128 +14,128 @@ POUNDS_PER_KILOGRAM = 2.20462
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def GetFitbitClient():
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credentials = yaml.load(open('fitbit.yaml'))
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client = fitbit.Fitbit(**credentials)
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return client
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credentials = yaml.load(open('fitbit.yaml'))
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client = fitbit.Fitbit(**credentials)
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return client
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def GetGoogleClient():
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credentials = Storage('google.json').get()
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http = credentials.authorize(httplib2.Http())
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client = build('fitness', 'v1', http=http)
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return client
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credentials = Storage('google.json').get()
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http = credentials.authorize(httplib2.Http())
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client = build('fitness', 'v1', http=http)
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return client
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def nano(val):
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"""Converts a number to nano (str)."""
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return '%d' % (val * 1e9)
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"""Converts a number to nano (str)."""
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return '%d' % (val * 1e9)
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def FitbitWeightToGoogleWeight(fitbitWeightLog):
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logSecs = fitbitWeightLog['logId'] / 1000
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logWeightLbs = fitbitWeightLog['weight']
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logWeightKg = logWeightLbs / POUNDS_PER_KILOGRAM
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return dict(
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dataTypeName='com.google.weight',
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endTimeNanos=nano(logSecs),
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startTimeNanos=nano(logSecs),
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value=[dict(fpVal=logWeightKg)],
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)
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logSecs = fitbitWeightLog['logId'] / 1000
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logWeightLbs = fitbitWeightLog['weight']
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logWeightKg = logWeightLbs / POUNDS_PER_KILOGRAM
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return dict(
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dataTypeName='com.google.weight',
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endTimeNanos=nano(logSecs),
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startTimeNanos=nano(logSecs),
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value=[dict(fpVal=logWeightKg)],
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)
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def GetDataSourceId(dataSource):
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projectNumber = Storage('google.json').get().client_id.split('-')[0]
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return ':'.join((
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dataSource['type'],
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dataSource['dataType']['name'],
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projectNumber,
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dataSource['device']['manufacturer'],
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dataSource['device']['model'],
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dataSource['device']['uid']))
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projectNumber = Storage('google.json').get().client_id.split('-')[0]
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return ':'.join((
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dataSource['type'],
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dataSource['dataType']['name'],
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projectNumber,
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dataSource['device']['manufacturer'],
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dataSource['device']['model'],
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dataSource['device']['uid']))
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def main():
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fitbitClient = GetFitbitClient()
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fitbitClient = GetFitbitClient()
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devices = fitbitClient.get_devices()
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(scale,) = (device for device in devices if device['type'] == 'SCALE')
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devices = fitbitClient.get_devices()
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(scale,) = (device for device in devices if device['type'] == 'SCALE')
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fitbitBodyweight = fitbitClient.get_bodyweight(period='30d')
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fitbitWeightLogs = fitbitBodyweight['weight']
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fitbitWeightLogTimes = [log['logId'] / 1000 for log in fitbitWeightLogs]
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fitbitBodyweight = fitbitClient.get_bodyweight(period='30d')
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fitbitWeightLogs = fitbitBodyweight['weight']
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fitbitWeightLogTimes = [log['logId'] / 1000 for log in fitbitWeightLogs]
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minLogNs = nano(min(fitbitWeightLogTimes))
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maxLogNs = nano(max(fitbitWeightLogTimes))
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minLogNs = nano(min(fitbitWeightLogTimes))
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maxLogNs = nano(max(fitbitWeightLogTimes))
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googleWeightLogs = [FitbitWeightToGoogleWeight(log)
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for log in fitbitWeightLogs]
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googleWeightLogs = [FitbitWeightToGoogleWeight(log)
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for log in fitbitWeightLogs]
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googleClient = GetGoogleClient()
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googleClient = GetGoogleClient()
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dataSource = dict(
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type='raw',
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application=dict(name='fitsync'),
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dataType=dict(
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name='com.google.weight',
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field=[dict(format='floatPoint', name='weight')]
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),
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device=dict(
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type='scale',
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manufacturer='unknown',
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model='unknown',
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uid=scale['id'],
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version=scale['deviceVersion'],
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)
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)
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dataSource = dict(
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type='raw',
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application=dict(name='fitsync'),
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dataType=dict(
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name='com.google.weight',
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field=[dict(format='floatPoint', name='weight')]
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),
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device=dict(
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type='scale',
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manufacturer='unknown',
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model='unknown',
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uid=scale['id'],
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version=scale['deviceVersion'],
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)
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)
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dataSourceId = GetDataSourceId(dataSource)
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dataSourceId = GetDataSourceId(dataSource)
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# Ensure datasource exists for the device.
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try:
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googleClient.users().dataSources().get(
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userId='me',
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dataSourceId=dataSourceId)
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except HttpError, error:
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if not 'DataSourceId not found' in str(error):
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raise error
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# Doesn't exist, so create it.
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googleClient.users().dataSources().create(
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userId='me',
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body=dataSource)
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# Ensure datasource exists for the device.
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try:
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googleClient.users().dataSources().get(
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userId='me',
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dataSourceId=dataSourceId)
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except HttpError, error:
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if not 'DataSourceId not found' in str(error):
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raise error
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# Doesn't exist, so create it.
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googleClient.users().dataSources().create(
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userId='me',
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body=dataSource)
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datasetId = '%s-%s' % (minLogNs, maxLogNs)
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datasetId = '%s-%s' % (minLogNs, maxLogNs)
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command = 'patch'
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if len(sys.argv) > 1:
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command = sys.argv[1]
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command = 'patch'
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if len(sys.argv) > 1:
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command = sys.argv[1]
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# Get weight dataset.
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if command == 'get':
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print googleClient.users().dataSources().datasets().get(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId).execute()
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# Get weight dataset.
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if command == 'get':
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print googleClient.users().dataSources().datasets().get(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId).execute()
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# Delete weight dataset.
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if command == 'delete':
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googleClient.users().dataSources().datasets().delete(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId).execute()
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print "deleted data"
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# Delete weight dataset.
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if command == 'delete':
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googleClient.users().dataSources().datasets().delete(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId).execute()
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print "deleted data"
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# Upload weight dataset.
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if command == 'patch':
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print googleClient.users().dataSources().datasets().patch(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId,
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body=dict(
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dataSourceId=dataSourceId,
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maxEndTimeNs=maxLogNs,
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minStartTimeNs=minLogNs,
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point=googleWeightLogs,
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)).execute()
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# Upload weight dataset.
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if command == 'patch':
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print googleClient.users().dataSources().datasets().patch(
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userId='me',
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dataSourceId=dataSourceId,
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datasetId=datasetId,
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body=dict(
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dataSourceId=dataSourceId,
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maxEndTimeNs=maxLogNs,
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minStartTimeNs=minLogNs,
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point=googleWeightLogs,
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)).execute()
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if __name__ == '__main__':
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