timesheet_maker.py

# This was created from the basic quickstart.py for google calendar API.

# Change the flow = to your personal google calendar api credentials stored on your local machine.
"""
Pulls the 30 events in your calendar after the set local datetime
"""
from __future__ import print_function
from apiclient.discovery import build
from httplib2 import Http
from oauth2client import file, client, tools
import datetime
import numpy as np
import pandas as pd

# Setup the Calendar API
SCOPES = 'https://www.googleapis.com/auth/calendar.readonly'
store = file.Storage('credentials.json')
creds = store.get()
if not creds or creds.invalid:
    flow = client.flow_from_clientsecrets('/Users/aidenjohnson/Library/Mobile Documents/com~apple~CloudDocs/Thinkful/Gtimesheet/client_secret_thinkful.json', SCOPES)
    creds = tools.run_flow(flow, store)
service = build('calendar', 'v3', http=creds.authorize(Http()))

# Call the Calendar API
#now = datetime.datetime.utcnow().isoformat() + 'Z' # 'Z' indicates UTC time
UTC_OFFSET_TIMEDELTA = datetime.datetime.utcnow() - datetime.datetime.now()
local_datetime = datetime.datetime.strptime("2018-08-05 08:00:00", "%Y-%m-%d %H:%M:%S")
result_utc_datetime = local_datetime + UTC_OFFSET_TIMEDELTA
now=result_utc_datetime.isoformat()+'Z'

print('Getting the upcoming 30 events')
events_result = service.events().list(calendarId='primary', timeMin=now,
                                      maxResults=30, singleEvents=True,
                                      orderBy='startTime').execute()
events = events_result.get('items', [])
#print(events)

d = []
if not events:
    print('No upcoming events found.')
for event in events:
    c = np.asarray(event['summary'])
    a = (event['start'].get('dateTime',event['start']))[:10]
    p = datetime.datetime.strftime(datetime.datetime.strptime(a,'%Y-%m-%d'),'%B %d, %Y')
    xe =datetime.datetime.strptime(((event['end'].get('dateTime',event['end']))[11:16]),'%H:%M')
    xs =datetime.datetime.strptime(((event['start'].get('dateTime',event['start']))[11:16]),'%H:%M')
    b =(xe-xs)
    hours = int(b.seconds // (60 * 60))
    mins = int((b.seconds // 60) % 60)
    if hours == 1:
        h = hours
    else:
        h = mins/60
    at = 'Data Science'
    rt = '$25'
    tot = '$' + str(h * 25)
    d.append([p,c,at,rt,h,tot])
    #print(c)
    df=pd.DataFrame(d, columns=('Date', 'Item','Allocate Towards','Rate','Qty in Hours','Total'))
    df.to_csv('gtime_sheet.csv')
    #np.savetxt("gtime_sheet.csv", c, delimiter=",")
    print(df)
# [END]