core_model_loop(global_dic, case_dic_list)
print('Simple_Energy_Model: Saving basic results')
# Note that results for individual cases are output from core_model_loop
save_basic_results(global_dic, case_dic_list)
# -----------------------------------------------------------------------------
# copy the Gurobi log file to the output folder
# The Verbose field in SOLVE function in CORE_MODEL.PY determined if a gurobi.log is generated.
# delete the gurobi log to eliminate cumulations from previous runs.
if os.path.exists("./gurobi.log"):
copy2("./gurobi.log", output_folder)
try:
os.remove("./gurobi.log")
except:
print('gurboi.log not erased')
# -----------------------------------------------------------------------------
if global_dic['POSTPROCESS']:
print('Simple_Energy_Model: Post-processing results')
post_process(global_dic) # Lei's old postprocessing
if global_dic['QUICK_LOOK']:
print('Simple_Energy_Model: Preparing quick look at results')
pickle_file_name = './Output_Data/' + global_dic[
'GLOBAL_NAME'] + '/' + global_dic['GLOBAL_NAME'] + '.pickle'
quick_look(global_dic, case_dic_list) # Fan's new postprocessing
# directory = 'D:/M/WORK/'
#root_directory = '/Users/kcaldeira/Google Drive/simple energy system model/Kens version/'
#whoami = subprocess.check_output('whoami')
#if whoami == 'kcaldeira-carbo\\kcaldeira\r\n':
# case_input_path_filename = '/Users/kcaldeira/Google Drive/git/SEM-1/case_input.csv'
case_input_path_filename = './case_input.csv'
# -----------------------------------------------------------------------------
# =============================================================================
print 'Simple_Energy_Model: Pre-processing input'
global_dic, case_dic_list = preprocess_input(case_input_path_filename)
print 'Simple_Energy_Model: Executing core model loop'
result_list = core_model_loop(global_dic, case_dic_list)
print 'Simple_Energy_Model: Saving basic results'
scalar_names, scalar_table = save_basic_results(global_dic, case_dic_list,
result_list)
if global_dic['POSTPROCESS']:
print 'Simple_Energy_Model: Post-processing results'
post_process(global_dic) # Lei's old postprocessing
if global_dic['QUICK_LOOK']:
print 'Simple_Energy_Model: Preparing quick look at results'
pickle_file_name = './Output_Data/' + global_dic[
'GLOBAL_NAME'] + '/' + global_dic['GLOBAL_NAME'] + '.pickle'
quick_look(pickle_file_name) # Fan's new postprocessing