# Copyright (C) 2017-2022 Battelle Memorial Institute
# file: test_trans_metrics_proc.py

import os

import matplotlib.pyplot as plt
from TransmissionMetricsProcessor import TransmissionMetricsProcessor

# root = []
# for root, dirs, files in os.walk(r'''C:\Qiuhua\FY2016_Project_Transactive_system\Simulation_Year1\SGIP1\\'''):
#     # print(root)
#     print (dirs)
#     # print (files)

d = r'''C:\Qiuhua\FY2016_Project_Transactive_system\Simulation_Year1\SGIP1'''
subdir = [os.path.join(d, o) for o in os.listdir(d) if os.path.isdir(os.path.join(d, o))]
print(subdir)

foldernames = [name for name in os.listdir(d) if os.path.isdir(os.path.join(d, name))]
print(foldernames)

all_bus_metrics = {}
all_gen_metrics = {}
colors = {0: 'k', 1: 'b', 2: 'r', 3: 'g', 4: 'm', 5: 'y'}

fig1, ax1 = plt.subplots()

for i in range(0, len(subdir)):
    casepath = subdir[i] + "\\"
    casename = foldernames[i]  # 'SGIP1a'
    tmp = TransmissionMetricsProcessor()

    tmp.loadAllMetricsFromJSONFiles(casename, casepath)

    # print(tmp.get_bus_metrics())
    print('\n\n', casename)
    # print('\n',tmp.get_bus_metrics_at_bus(7).LMP_P.values)
    # print('\n', tmp.get_bus_metrics_at_bus(7).VMAG.values)

    tmp.get_bus_metrics_at_bus(7).LMP_P.plot(ax=ax1, color=colors[i], label=casename)
    # tmp.get_bus_metrics_at_bus(7).VMAG.plot(ax=axes[i])
    all_bus_metrics[casename] = tmp.get_bus_metrics()
    all_gen_metrics[casename] = tmp.get_gen_metrics()

ax1.set(title='Bus LMP comparision', xlabel='Time (hour)', ylabel='LMP ($/kWh)')

# fig2 = plt.figure(2)


# data for table
print('\ntotal gen cost, revenue, profit:')
for case in foldernames:
    earning = all_gen_metrics[case].REVENUE.sum().values
    cost = all_gen_metrics[case].COST.sum().values
    profit = earning - cost
    print(case, ",", cost, ",", earning, ",", profit)

print('\ntotal gen emissions CO2, Sox, Nox (lb):')
for case in foldernames:
    co2 = all_gen_metrics[case].EMISSION_CO2.sum().values
    sox = all_gen_metrics[case].EMISSION_SOX.sum().values
    nox = all_gen_metrics[case].EMISSION_NOX.sum().values
    print(case, ",", co2, ",", sox, ",", nox)

fig2, axes = plt.subplots(nrows=len(foldernames))
print('\ntotal Ancillary generation output:')
i = 0
for case in foldernames:
    all_gen_metrics[case].sel(busNum=1).PGEN.plot(ax=axes[i], color=colors[i], label=casename)
    i = i + 1

plt.show()
