# -*- coding: utf-8 -*-
"""
Scrap resting heartrate data from Fitbit web panel to sqlite database.
"""
from lib.config import Configuration
from lib.db import DBConn
from lib.tilesdata import TilesData
if __name__ == '__main__':
config = Configuration()
if not config.ok:
print 'Error reading config file!'
exit(1)
db = DBConn(config.dbname, config.decsep, config.thsep)
td = TilesData(config.htmlfile)
d = dict()
d['heartrate'] = td.data['getRestingHeartRateData']['data']['dataPoints'] # resting heartrate data to import
db.save(d)
from lib.config import Configuration
from lib.db import DBConn
from lib.utils import filelist, convert_tstamp
from csv import reader
if __name__ == '__main__':
# global configuration
config = Configuration()
if config.ok:
csvpath = config.csvpath
header = config.header # dict - only contains interesting data block names
else:
print 'Error reading config file!'
exit(1)
db = DBConn(config.dbname, config.decsep, config.thsep)
flist = sorted(filelist(csvpath)) # older files before
for csvfile in flist:
# save data blocks in a dict using header as key
datablocks = dict()
dblock = [] # this data block is a list of lists
hdr = '' # new data block's header - if not empty, we're currently reading data
with open(csvpath + '/' + csvfile, 'rb') as f:
print 'processing file ' + csvfile
csv = reader(f)
for row in csv:
if hdr == '': # this is the data block's header
hdr = row[0]
else:
if row == []: # end of data block
if hdr in header.keys(): # skip ignored data blocks
