def display_scheduled_jobs(log):
'''
It's nice to see what's going on in the hours before the lights will be switched
on or off. So, display the scheduler Q on the following, cron style, schedule.
'''
crontimes = '7,19,20'
Sched.get().add_cron_job(log_scheduled_jobs, hour=crontimes, minute=3, args=[log])
log.info('Scheduled jobs will be logged per this (cron style - hourly) schedule: {}'.format(crontimes))
def job_already_scheduled(jobtime):
'''
Determine if a job is already scheduled
'''
jobs = Sched.get().get_jobs()
found = False
for job in jobs:
pos = string.find(str(job), str(jobtime))
if pos >= 0:
found = True
break
return found
def schedule_next_cycle(log):
'''
After the scheduler runs the next required sunrise/sunset (turn) on/off
cycle, it needs to re-schedule upcoming event(s). We'll run a 'cron style' job
twice every 24 hours - just in case we lose power and come
back online. Note: duplicate scheduler entries are avoided.
'''
sunrise, sunset = calc_sunrise_sunset(log)
sched = Sched.get()
if not job_already_scheduled(sunrise):
sched.add_date_job(call_turn_off_ssr, sunrise, [log])
if not job_already_scheduled(sunset):
sched.add_date_job(call_turn_on_ssr, sunset, [log])
log_scheduled_jobs(log)
def main():
'''
Main entry point.
'''
check_required_environment_vars()
log = setup_logging()
sched = Sched.get() # snag a Scheduler instance
log.info('>>')
log.info('>>>>>>>>>>>>>>> AutoMaticLight starting <<<<<<<<<<<<<<<<')
log.info('<<')
log_inet_address(log)
log_uptime(log)
libratoapi = librato_connect()
heartbeat(libratoapi)
sched.add_interval_job(heartbeat, seconds=20, args=[libratoapi])
schedule_next_cycle(log)
sched.add_cron_job(schedule_next_cycle, hour='1,13', args=[log])
log.info('Sunrise/Sunset calculation will run at 1:00AM and 1:00PM')
sched.add_interval_job(log_inet_address, hours=24, args=[log])
sched.add_interval_job(log_uptime, hours=24, args=[log])
display_scheduled_jobs(log)
set_current_state(log)
return log
import Forecast as f
import Optimize as o
import Sched as s
import pandas as pd
#Per ATM
def ATM_Main(series,val_dates,holidays,model):
forecasts = f.forecast(series,val_dates,holidays,weekly=0,monthly=monthly,cpoint=cpoint)
optimal = o.optimize
(b,d,reload_amt,
atm_no,days_no,reload_charge=2000, r=0.05/365,t=0,t_day0=0)
decision = s.decision()
return dataframme
#Error Check
def Check(date,holiday_file,model_file,atm_list="All",horizon=7,raw_path,out_path):
#assumes same list of Holidays and Payrolls for all models
sdate
edate
def log_scheduled_jobs(log):
jobs = Sched.get().get_jobs()
for job in jobs:
log.info('Job %s' % str(job))