Files
fitsync/fitsync.py
2015-11-04 11:09:12 -08:00

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()