import Settings as Set

import Initialize as Init

import Main

import csv

import time

__author__ = 'Mike'

t0 = time.time()

#######################################################################################################################

# Inputs for Simulation Runs

#######################################################################################################################

visualize = False

area_size_miles = [4.0, 8.0, 16.0] # miles

area_size = [x * 5280.0 for x in area_size_miles] #feet

# requests_per_hour = [900, 1000, 1100, 1200, 1300]

requests_per_hour = [1000]

demand_Type = ["O_Uniform_D_Uniform"] # "O_Cluster_D_Cluster",

fleet_size1 = [j for j in range(120, 161, 10)]

fleet_size2 = [j for j in range(175, 201, 25)]

fleet_size = fleet_size1 + fleet_size2

assign_intervals = [10] # seconds

relocate_intervals = [30] # seconds

opt_methods = ["1_FCFS_longestIdle", "2_FCFS_nearestIdle",

"5_match_idleOnly", "6_match_idlePick",

"7_match_idleDrop",

"8_match_idlePickDrop"]

#"3_FCFS_smartNN", "4_FCFS_drop_smartNN", "4a_FCFS_drop_smartNN2", "7_match_idleDrop2",

relocate_method = "NULL"

xyt_strings = ["2x_8y_5min"]

#######################################################################################################################

# Create Files to Write Results

#######################################################################################################################

csv_results2 = open(

'../Results_Rev2/BigResults_20miles' + '_holds' + str(len(assign_intervals)) + '_fleet'

+ str(len(fleet_size)) + '_opt' + str(len(opt_methods)) + '.csv', 'w')

results_writer2 = csv.writer(csv_results2, lineterminator='\n', delimiter=',', quotechar='"',

quoting=csv.QUOTE_NONNUMERIC)

results_writer2.writerow(

["Runs", "Sim_Length", "Hold Time", "Requests Per Hour",

"Demand Type", "Area Size", "Opt Method", "Fleet Size",

"Mean Wait Pick", "% Empty", "% Reassign", "Fleet Util",

"#Served", "#inVeh", "#Assgnd", "#Unassgnd"])

#######################################################################################################################

# Loop Through Simulations

#######################################################################################################################

for a_demand_rate in requests_per_hour:

for k_assign_int in assign_intervals:

for r_relocat_int in relocate_intervals:

for d_xyt_string in xyt_strings:

for p_demand_type in demand_Type:

for q_area_size in area_size:

for m_opt_method in opt_methods:

for j_fleet_size in fleet_size:

jj_fleet_size = j_fleet_size + int(((q_area_size / 5280.0) - 4.0) * 25)

results_run = []

for i_run in range(0, 15):

# generate random demand

Init.generate_demand(Set.t_max, a_demand_rate, q_area_size, Set.max_group_size,

p_demand_type, False) # taxi = False

# generate fleet

Init.generate_fleet(q_area_size, jj_fleet_size, Set.veh_capacity)

print("run #:", i_run, " demand rate:", a_demand_rate, " demand type:", p_demand_type,

" area size:", q_area_size / 5280)

print("fleet size:", jj_fleet_size, " hold for:", k_assign_int, " Opt Method:", m_opt_method)

results = Main.main(k_assign_int, r_relocat_int, Set.t_max, Set.time_step,

m_opt_method, relocate_method, Set.veh_speed, 0)

results_run.append(results)

print(results)

print(time.time() - t0)

avg = [float(sum(col)) / len(col) for col in zip(*results_run)]

results_writer2.writerow(

[i_run, Set.t_max, k_assign_int, a_demand_rate,

p_demand_type, q_area_size / 5280, m_opt_method, jj_fleet_size,

avg[0], avg[1] , avg[2], avg[3], # / 60.0

avg[4], avg[5], avg[6], avg[7]])

csv_results2.close()