from _datetime import datetime
from time import sleep
import pyares as pa
import pandas as pd
# all solar aspect angles and all the timestamps.
params = ['sa', 'sx', 'sy', 'sz']
start = 1388534400000 # GMT: Wednesday, 1 January 2014 00:00:10.697
#end = 1389139200000 # GMT: Wednesday, 8 January 2014 00:00:00
#end = 1420070380120 # Wednesday, 31 December 2014 23:59:40.120
#end = 1388584759000 # Wednesday, 1 January 2014 13:59:19
end = 1388620800000 # GMT: Thursday, 2 January 2014 00:00:00
#end = 1391212800000 # 1 month
data_provider = pa.init_aresjob()
job_id = data_provider.execute_job(script='mex_job.py',
param_names=params,
start=start,
end=end)
start_time = datetime.now()
while True:
status = data_provider.get_job_status()
print(status)
if status['Final-State'] == 'SUCCEEDED':
print(data_provider.get_job_logs())
print("Time elapsed: %s" % str(datetime.now() - start_time))
retriever = pa.init_param_jobresultretriever().get_job_result_df
search = retriever(job_id=job_id, result_type='search')
status = aj_obj.get_job_status()
print(status)
if status['Final-State'] == 'SUCCEEDED':
print("Time elapsed: %s" % str(datetime.now() - start_time))
break
if status['Final-State'] == 'FAILED':
print("Job failed.")
break
sleep(10)
params = ['sa', 'sx', 'sy', 'sz']
timestamps = sorted([1387424800000, 1388584759000])
#timestamps = sorted([1388534410697, 1420070380120]) # all the timestamps
aj = pa.init_aresjob()
job_id1 = aj.execute_job(script='job1.py',
param_names=params,
start=timestamps[0],
end=timestamps[-1])
print_status(aj)
job_id2 = aj.execute_job(script='job2.py',
param_names=params,
start=timestamps[0],
end=timestamps[-1])
print_status(aj)
retriever = pa.init_param_jobresultretriever().get_job_result_df
result1 = retriever(job_id=job_id1, result_type='udf')
result2 = retriever(job_id=job_id2, result_type='udf')