def projected(jobs, adjusted=False):
reference = sw.get_job_properties(jobs)
if not adjusted:
pto_dates = pto.projected(jobs, adjusted)
grant_dates = _map_award(_map_submit(pto_dates,reference),reference)
return pd.merge(grant_dates, _amounts(jobs))
else:
award_stage = actuals(jobs)[['InstallationID','Date']]
leftover = list(set(jobs) - set(list(award_stage['InstallationID'].values)))
submit_stage = _map_award(get_submit_dates(leftover), reference)
submit_stage = pd.merge(submit_stage,_amounts(leftover))
_reapply(submit_stage, reference)
leftover = list(set(leftover)-set(list(submit_stage['InstallationID'].values)))
pto_stage = _map_award(_map_submit(pto.projected(leftover,adjusted),reference),reference)
pto_stage = pd.merge(pto_stage, _amounts(leftover))
_reapply(pto_stage, reference)
# concatenating empty data frames raises an error
if pto_stage.empty and submit_stage.empty and award_stage.empty:
return award_stage
else:
return pd.concat([pto_stage,submit_stage,award_stage],ignore_index=True)
def projected(jobs, adjusted=False, renewal=False):
reference = pd.merge(sw.get_ppa_data(jobs), pto.projected(jobs,adjusted))
if not adjusted:
return _payment_calculator(reference,renewal)
else:
return _payment_calculator(reference,renewal)
def projected(jobs, adjusted=False):
reference = sw.get_job_properties(jobs)
if not adjusted:
rebate_dates = _map_rebate(pto.projected(jobs, adjusted), reference)
return pd.merge(rebate_dates, _amounts(jobs))
else:
receive_stage = actuals(jobs)
leftover = list(set(jobs) - set(list(receive_stage["InstallationID"].values)))
pto_stage = _map_rebate(pto.projected(leftover, adjusted), reference)
pto_stage = pd.merge(pto_stage, _amounts(leftover))
_reapply(pto_stage, reference)
# concatenating empty data frames raises an error
if receive_stage.empty and pto_stage.empty:
return receive_stage
else:
return pd.concat([pto_stage, receive_stage], ignore_index=True)