def solve(dat):
"""
core solving routine
:param dat: a good ticdat for the input_schema
:return: a good ticdat for the solution_schema, or None
"""
return opl_run("netflow.mod", input_schema, dat, solution_schema)
def solve(dat):
"""
core solving routine
:param dat: a good ticdat for the input_schema
:return: a good ticdat for the solution_schema, or None
"""
assert input_schema.good_tic_dat_object(dat)
assert not input_schema.find_foreign_key_failures(dat)
assert not input_schema.find_data_type_failures(dat)
assert not input_schema.find_data_row_failures(dat)
return opl_run("oil_blend.mod", input_schema, dat, solution_schema)
def solve(dat):
"""
core solving routine
:param dat: a good ticdat for the input_schema
:return: a good ticdat for the solution_schema, or None
"""
assert input_schema.good_tic_dat_object(dat)
assert not input_schema.find_foreign_key_failures(dat)
assert not input_schema.find_data_type_failures(dat)
assert not input_schema.find_data_row_failures(dat)
rtn = opl_run("jobs.mod", input_schema, dat, solution_schema)
if rtn:
# for simplicities sake, I'm just going to treat OPL time as 'minutes from now'
now = time.time()
format_iso = lambda x : datetime.datetime.utcfromtimestamp(now + x*60).isoformat() + "Z"
for k,r in rtn.act.items():
rtn.act_as_dates[k] = [format_iso(r["Start"]), format_iso(r["End"])]
return rtn