phase_order = load_phase_order_data(database_file("Installation_Order.xlsx"))
schedule_OLC = load_time_olc_data(database_file("operations_time_OLC.xlsx"))
penet_rates, laying_rates = load_eq_rates(database_file("equipment_perf_rates.xlsx"))
port_sf, vessel_sf, eq_sf = load_sf(database_file("safety_factors.xlsx"))
#Internal logistic module databases
vessels = load_vessel_data(database_file("logisticsDB_vessel_python.xlsx"))
equipments = load_equipment_data(database_file("logisticsDB_equipment_python.xlsx"))
ports = load_port_data(database_file("logisticsDB_ports_python.xlsx"))
#upstream module inputs/outputs
user_inputs = load_user_inputs(database_file("inputs_user.xlsx"))
hydrodynamic_outputs = load_hydrodynamic_outputs(database_file("ouputs_hydrodynamic.xlsx"))
electrical_outputs = load_electrical_outputs(database_file("ouputs_electrical.xlsx"))
MF_outputs = load_MF_outputs(database_file("outputs_MF.xlsx"))
OM_outputs = load_OM_outputs(database_file("outputs_OM.xlsx"))
OM_outputs_PORT = load_OM_outputs(database_file("outputs_OM_INS_PORT.xlsx"))
"""
Initialise logistic operations and logistic phase
"""
logOp = logOp_init( database_file("operations_time_OLC.xlsx") )
"""
Select the most appropriate base port for OM
OM_port function selects the port used by OM logistic phases
required by the O&M module, depending if is inspection or actual maintenance.
For the case of inspection the closest port is chosen and the ID in the input should be INS_PORT.
For the case of the other logistic phases the selection is based on a 2 step process:
1 - the port feasibility functions from all logistic phases are taken
phase_order = load_phase_order_data(database_file("Installation_Order.xlsx"))
schedule_OLC = load_time_olc_data(database_file("operations_time_OLC.xlsx"))
penet_rates, laying_rates = load_eq_rates(database_file("equipment_perf_rates.xlsx"))
port_sf, vessel_sf, eq_sf = load_sf(database_file("safety_factors.xlsx"))
# Internal logistic module databases
vessels = load_vessel_data(database_file("logisticsDB_vessel_python.xlsx"))
equipments = load_equipment_data(database_file("logisticsDB_equipment_python.xlsx"))
ports = load_port_data(database_file("logisticsDB_ports_python.xlsx"))
# upstream module inputs/outputs
user_inputs = load_user_inputs(database_file("inputs_user.xlsx"))
hydrodynamic_outputs = load_hydrodynamic_outputs(database_file("ouputs_hydrodynamic.xlsx"))
electrical_outputs = load_electrical_outputs(database_file("ouputs_electrical.xlsx"))
MF_outputs = load_MF_outputs(database_file("outputs_MF.xlsx"))
OM_outputs = load_OM_outputs(database_file("outputs_OM.xlsx"))
with open("objs.pickle", "w") as f:
pickle.dump(
[
phase_order,
schedule_OLC,
vessels,
equipments,
ports,
user_inputs,
hydrodynamic_outputs,
electrical_outputs,
MF_outputs,
],
f,
