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):
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)
def projected(jobs, adjusted=False):
reference = sw.get_job_properties(jobs) # basic job properties
if not adjusted:
end_dates = sw.get_end_dates(jobs)
return _map_pto(_map_inspect(end_dates, reference), reference)
else:
# adjust forecasts to account for actuals and to push projections further out if necessary
pto_stage = actuals(jobs)
leftover = list(set(jobs) - set(list(pto_stage["InstallationID"].values)))
inspect_stage = _map_pto(get_inspection_dates(leftover), reference)
_reapply(inspect_stage, reference)
leftover = list(set(leftover) - set(list(inspect_stage["InstallationID"].values)))
install_stage = _map_pto(_map_inspect(sw.get_end_dates(leftover), reference), reference)
_reapply(install_stage, reference)
# concatenating empty data frames raises an error
if pto_stage.empty and inspect_stage.empty and install_stage.empty:
return pto_stage
else:
return pd.concat([pto_stage, inspect_stage, install_stage], ignore_index=True)