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hdb.py
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# -*- coding: utf-8 -*-
"""
Created on Fri Mar 3 13:03:21 2017
@author: Susie
"""
account_name='blobsensordata'
account_key='####'
from azure.storage.blob import BlockBlobService
import pandas as pd
from io import StringIO
from datetime import date, timedelta
from datetime import datetime
from decimal import Decimal
#from azure.storage.blob import PublicAccess
blob_service = BlockBlobService(account_name=account_name, account_key = account_key)
#blob_service.get_blob_to_path("rspark","blobname","localfilename")
#blob_service.create_container('mycontainer', public_access=PublicAccess.Container)
container_name = 'hdbdatainput'
blobs = []
marker = None
while True:
batch = blob_service.list_blobs(container_name, marker=marker)
blobs.extend(batch)
if not batch.next_marker:
break
marker = batch.next_marker
blob_list = []
blob_date = []
for blob in blobs:
blob_list.append(blob.name)
blob_date.append(blob.name[:10])
blob_table = pd.DataFrame()
blob_table['date'] = blob_date
blob_table['blobname'] = blob_list
Today = date.today()
Today = Today.strftime('%Y-%m-%d')
Yst = date.today() - timedelta(1)
Yst = Yst.strftime('%Y-%m-%d')
blob_table = blob_table[(blob_table['date']==Today)|(blob_table['date']==Yst)]
blob_df = pd.DataFrame()
for blobname in blob_table['blobname']:
blob_Class = blob_service.get_blob_to_text(container_name=container_name, blob_name = blobname)
blob_String =blob_Class.content
blob_df1 = pd.read_csv(StringIO(blob_String),low_memory=False)
blob_df = blob_df.append(blob_df1)
print(blob_df.shape[0])
#convert-time
blob_df['eventtime'] = blob_df['starttime'].apply(lambda x: datetime.strptime(x, "%Y-%m-%dT%H:%M:%S.0000000Z")+ timedelta(hours=8) )
blob_df = blob_df.sort('eventtime', ascending=1)
blob_df.index = range(blob_df.shape[0])
print(blob_df.head(5))
# blob_df = blob_df[(blob_df['deviceid']=='SG-04-avent001') | (blob_df['deviceid']=='SG-04-avent002')]
hublist = blob_df.deviceid.unique()
hublist = list(hublist)
blob_df = blob_df[blob_df['tasklocation']=='Bedroom']
blob_df['status1'] = 'duration'
blob_df['status2'] = 'duration'
sleep = []
wakeup = []
sleep_time = pd.DataFrame()
sleep_time['hubid'] = hublist
for hdbid in hublist:
blob_hub1 = blob_df[blob_df['deviceid']==hdbid]
print(hdbid)
if blob_hub1.shape[0]==0:
wakeupPoint = 'nan'
sleep_point = 'nan'
else:
blob_hub1.index = range(blob_hub1.shape[0])
i = 1
n = blob_hub1.shape[0]-1
while (i < n):
delta = blob_hub1.at[i, 'eventtime'] - blob_hub1.at[i-1, 'eventtime']
if delta.seconds >1800:
blob_hub1.at[i-1, 'status1'] = 'start'
blob_hub1.at[i, 'status2'] = 'end'
i=i+1
starting = blob_hub1[blob_hub1['status1']=='start']
ending = blob_hub1[blob_hub1['status2']=='end']
flag = date.today() - timedelta(1)
flag = flag.strftime('%Y-%m-%d')
flag = flag + ' 20:29:59'
flag = datetime.strptime(flag, "%Y-%m-%d %H:%M:%S")
starting = starting[starting['eventtime']>flag]
#starting.index = range(starting.shape[0])
if starting.shape[0]==0:
k = blob_hub1.shape[0]-1
sleep_point = blob_hub1.iloc[k]['eventtime']
else:
sleep_point = starting.iloc[0]['eventtime']
flag = date.today()
flag = flag.strftime('%Y-%m-%d')
flag = flag + ' 02:30:01'
flag = datetime.strptime(flag, "%Y-%m-%d %H:%M:%S")
if sleep_point >flag:
blob_hub2 = blob_hub1[blob_hub1['eventtime']>(date.today()-timedelta(1))]
blob_hub2.index = range(blob_hub2.shape[0])
sleep_point = blob_hub2.iloc[0]['eventtime']
if sleep_point >flag:
sleep_point = 'nan'
# getting the wake up time
starting = blob_hub1[blob_hub1['status1']=='start']
ending = blob_hub1[blob_hub1['status2']=='end']
flag = date.today()
flag = flag.strftime('%Y-%m-%d')
flag = flag + ' 08:30:01'
flag = datetime.strptime(flag, "%Y-%m-%d %H:%M:%S")
ending = ending[ending['eventtime']<flag]
flag = date.today()
flag = flag.strftime('%Y-%m-%d')
flag = flag + ' 05:00:01'
flag = datetime.strptime(flag, "%Y-%m-%d %H:%M:%S")
if ending.shape[0]==0:
blob_hub1 = blob_hub1[blob_hub1['eventtime']>date.today()]
if blob_hub1.shape[0]==0:
wakeupPoint = 'nan'
else:
wakeupPoint = blob_hub1.iloc[0]['eventtime']
if wakeupPoint <flag:
blob_hub1 = blob_hub1[blob_hub1['eventtime']>flag]
if blob_hub1.shape[0]==0:
wakeupPoint = 'nan'
else:
wakeupPoint = blob_hub1.iloc[0]['eventtime']
else:
k = ending.shape[0]-1
wakeupPoint = ending.iloc[k]['eventtime']
if wakeupPoint <flag:
blob_hub1 = blob_hub1[blob_hub1['eventtime']>flag]
if blob_hub1.shape[0]==0:
wakeupPoint = 'nan'
else:
wakeupPoint = blob_hub1.iloc[0]['eventtime']
print(sleep_point)
wakeup.append(wakeupPoint)
sleep.append(sleep_point)
sleep_time['sleeptime']=sleep
sleep_time['wakeupTime']=wakeup
sleep_time = sleep_time.dropna()
# the below part is for upload
from azure.storage.blob import AppendBlobService
import os
print(os.getcwd())
append_blob_service = AppendBlobService(account_name=account_name, account_key=account_key)
# The same containers can hold all types of blobs
container_name = 'hdbwakeupsleeptime'
append_blob_service.create_container(container_name)
# Append blobs must be created before they are appended to
sleep_text = sleep_time.to_csv()
append_blob_service.create_blob(container_name, date.today().strftime('%Y-%m-%d'))
append_blob_service.append_blob_from_text(container_name, date.today().strftime('%Y-%m-%d'), sleep_text)
#append_blob = append_blob_service.get_blob_to_text(container_name, 'myappendblob')