183 lines
4.9 KiB
Python
Executable File
183 lines
4.9 KiB
Python
Executable File
#!/usr/bin/env python
|
|
import httplib2
|
|
import sys
|
|
import time
|
|
import yaml
|
|
|
|
import fitbit
|
|
from apiclient.discovery import build
|
|
from oauth2client.file import Storage
|
|
from oauth2client.client import OAuth2Credentials
|
|
from googleapiclient.errors import HttpError
|
|
|
|
|
|
POUNDS_PER_KILOGRAM = 2.20462
|
|
|
|
TIME_FORMAT = "%a, %d %b %Y %H:%M:%S"
|
|
|
|
|
|
def GetFitbitClient():
|
|
credentials = yaml.load(open('fitbit.yaml'))
|
|
client = fitbit.Fitbit(**credentials)
|
|
return client
|
|
|
|
|
|
def GetGoogleClient():
|
|
credentials = Storage('google.json').get()
|
|
http = credentials.authorize(httplib2.Http())
|
|
client = build('fitness', 'v1', http=http)
|
|
return client
|
|
|
|
|
|
def nano(val):
|
|
"""Converts a number to nano (str)."""
|
|
return '%d' % (val * 1e9)
|
|
|
|
|
|
def FitbitWeightToGoogleWeight(fitbitWeightLog):
|
|
logSecs = fitbitWeightLog['logId'] / 1000
|
|
logWeightLbs = fitbitWeightLog['weight']
|
|
logWeightKg = logWeightLbs / POUNDS_PER_KILOGRAM
|
|
return dict(
|
|
dataTypeName='com.google.weight',
|
|
endTimeNanos=nano(logSecs),
|
|
startTimeNanos=nano(logSecs),
|
|
value=[dict(fpVal=logWeightKg)],
|
|
)
|
|
|
|
|
|
def GetDataSourceId(dataSource):
|
|
projectNumber = Storage('google.json').get().client_id.split('-')[0]
|
|
return ':'.join((
|
|
dataSource['type'],
|
|
dataSource['dataType']['name'],
|
|
projectNumber,
|
|
dataSource['device']['manufacturer'],
|
|
dataSource['device']['model'],
|
|
dataSource['device']['uid']))
|
|
|
|
|
|
def main():
|
|
fitbitClient = GetFitbitClient()
|
|
|
|
devices = fitbitClient.get_devices()
|
|
(scale,) = (device for device in devices if device['type'] == 'SCALE')
|
|
|
|
fitbitBodyweight = fitbitClient.get_bodyweight(period='30d')
|
|
fitbitWeightLogs = fitbitBodyweight['weight']
|
|
fitbitWeightLogTimes = [log['logId'] / 1000 for log in fitbitWeightLogs]
|
|
|
|
minLogNs = nano(min(fitbitWeightLogTimes))
|
|
maxLogNs = nano(max(fitbitWeightLogTimes))
|
|
|
|
googleWeightLogs = [FitbitWeightToGoogleWeight(log)
|
|
for log in fitbitWeightLogs]
|
|
|
|
googleClient = GetGoogleClient()
|
|
|
|
dataSource = dict(
|
|
type='raw',
|
|
application=dict(name='fitsync'),
|
|
dataType=dict(
|
|
name='com.google.weight',
|
|
field=[dict(format='floatPoint', name='weight')]
|
|
),
|
|
device=dict(
|
|
type='scale',
|
|
manufacturer='unknown',
|
|
model='unknown',
|
|
uid=scale['id'],
|
|
version=scale['deviceVersion'],
|
|
)
|
|
)
|
|
|
|
dataSourceId = GetDataSourceId(dataSource)
|
|
|
|
# Ensure datasource exists for the device.
|
|
try:
|
|
googleClient.users().dataSources().get(
|
|
userId='me',
|
|
dataSourceId=dataSourceId).execute()
|
|
except HttpError, error:
|
|
if not 'DataSourceId not found' in str(error):
|
|
raise error
|
|
# Doesn't exist, so create it.
|
|
googleClient.users().dataSources().create(
|
|
userId='me',
|
|
body=dataSource).execute()
|
|
|
|
datasetId = '%s-%s' % (minLogNs, maxLogNs)
|
|
|
|
def GetData():
|
|
ret = googleClient.users().dataSources().datasets().get(
|
|
userId='me',
|
|
dataSourceId=dataSourceId,
|
|
datasetId=datasetId).execute()
|
|
#insert empty 'point' when there is nothing
|
|
if 'point' not in ret: ret['point']=[]
|
|
return ret
|
|
|
|
def PointsDifference(left, right):
|
|
return len(
|
|
set(point['startTimeNanos'] for point in left['point']) -
|
|
set(point['startTimeNanos'] for point in right['point']))
|
|
|
|
command = 'patch'
|
|
if len(sys.argv) > 1:
|
|
command = sys.argv[1]
|
|
|
|
# Get weight dataset.
|
|
if command == 'get':
|
|
data = GetData()
|
|
numpoints = 0
|
|
for point in data['point']:
|
|
startTimeNanos = point['startTimeNanos']
|
|
fpVal = point['value'][0]['fpVal']
|
|
startTimeSecs = int(startTimeNanos) / 1e9
|
|
readableTime = time.strftime(TIME_FORMAT, time.localtime(startTimeSecs))
|
|
weightKgs = float(fpVal)
|
|
weightLbs = float(fpVal) * POUNDS_PER_KILOGRAM
|
|
print "%.1f lbs ( %.2f kgs ), %s" % (weightLbs, weightKgs, readableTime)
|
|
numpoints += 1
|
|
print "Total %d points (in Google Fit)" % numpoints
|
|
|
|
# Delete weight dataset.
|
|
elif command == 'delete':
|
|
dataPrior = GetData()
|
|
googleClient.users().dataSources().datasets().delete(
|
|
userId='me',
|
|
dataSourceId=dataSourceId,
|
|
datasetId=datasetId).execute()
|
|
dataPost = GetData()
|
|
print "Deleted %d points (from Google Fit)" % PointsDifference(dataPrior, dataPost)
|
|
|
|
# Upload weight dataset.
|
|
elif command == 'patch':
|
|
dataPrior = GetData()
|
|
googleClient.users().dataSources().datasets().patch(
|
|
userId='me',
|
|
dataSourceId=dataSourceId,
|
|
datasetId=datasetId,
|
|
body=dict(
|
|
dataSourceId=dataSourceId,
|
|
maxEndTimeNs=maxLogNs,
|
|
minStartTimeNs=minLogNs,
|
|
point=googleWeightLogs,
|
|
)).execute()
|
|
dataPost = GetData()
|
|
print "Added %d points (to Google Fit)" % PointsDifference(dataPost, dataPrior)
|
|
|
|
else:
|
|
print "bad command"
|
|
|
|
|
|
def PointInData(startTimeNanos, data):
|
|
if 'point' in data:
|
|
for point in data['point']:
|
|
if startTimeNanos == point['startTimeNanos']:
|
|
return True
|
|
|
|
|
|
if __name__ == '__main__':
|
|
main()
|