import os
import argparse
import sys
import subprocess
import psutil

import os
import collections
import csv

import numpy as np
import pandas as pd
import matplotlib
from matplotlib import pyplot as plt
import matplotlib.ticker as mticker
import xlsxwriter
import seaborn as sns

from matplotlib.ticker import FormatStrFormatter
from matplotlib.legend_handler import HandlerTuple

from subprocess import Popen, PIPE

from scipy.stats import gmean


prefix = 'run_'
parameter_super_list = ['super']

config_super_list = ['standard', 'async', 'uvm', 'uvm_prefetch', 'uvm_prefetch_async']
workload_super_list = ['gemm']


def dict_to_list(input_dict):
    return_list = []
    for elemement in input_dict:
        return_list.append(elemement)
    return return_list

def addOptions(parser):
    parser.add_argument("-i", "--iterations", type=int, default=1,
                        help="Number of iterations")
    parser.add_argument("-c", "--csv", type=str, default='output.xlsx',
                        help="output trace log file")
    parser.add_argument("-f", "--figure", type=str, default='micro',
                        help="output pdf file")
    parser.add_argument("-p", "--profiling", action='store_true',
                        help="whether to run profiling or just parse results")


def get_config_list(root_directory):
    config_list = []
    for dict in os.listdir(root_directory):
        if os.path.isdir(dict) and dict in config_super_list:
            config_list.append(dict)
    return config_list


def get_workload_dict(root_directory, config_list):
    workload_list = []
    workload_dict = dict()
    for config in config_list:
        config_dir = root_directory + '/' + config
        
        for root, directories, files in os.walk(config_dir, topdown=False):
            for dir in directories:
                if dir in workload_super_list:
                    if dir not in workload_dict:
                        workload_dict[dir] = dict()
                    workload_dict[dir][config] = os.path.join(root, dir + '_perf')    
                    if dir not in workload_list:
                        workload_list.append(dir)
                
    return workload_list, workload_dict

def get_run_cmd(bash_file):
    return_txt = ''
    text = open(bash_file, "r")
    for line in text:
        return_txt += line.rstrip()
    return return_txt
        
def execute_bashes(workload_dict, iterations, perf_list):
    for workload in workload_dict:
        if workload in workload_super_list:
            for config in workload_dict[workload]:
                if config in config_super_list:
                    cur_dir = workload_dict[workload][config]
                    pwd = os.getcwd()
                    os.chdir(cur_dir)
                    os.system('make')
                    for para in parameter_super_list:
                        for iter in range(0, iterations):
                            sh_file = './' + prefix + para + '.sh'

                            perf_cmd = ''
                            for i in range(0, len(perf_list)):
                                perf_cmd += perf_list[i]
                                if i != len(perf_list) - 1:
                                    perf_cmd += ','
                            profile_cmd = 'ncu --metrics '
                            profile_cmd += perf_cmd
                            profile_cmd += ' --csv --log-file ' + para + '_' + str(iter) + '.profile.csv '
                            profile_cmd += get_run_cmd(sh_file)
                            os.system(profile_cmd)
                    os.chdir(pwd)

def main():
    parser = argparse.ArgumentParser()
    addOptions(parser)
    
    options = parser.parse_args()
    
    iterations = options.iterations
    output_csv_file = options.csv
    output_figure_file = options.figure
    profiling = options.profiling

    perf_list = []
    
    perf_list.append('smsp__inst_executed.sum')
    
    perf_list.append('smsp__sass_thread_inst_executed_op_memory_pred_on.sum')
    perf_list.append('smsp__sass_thread_inst_executed_op_control_pred_on.sum')
    perf_list.append('smsp__sass_thread_inst_executed_op_integer_pred_on.sum')
    perf_list.append('smsp__sass_thread_inst_executed_op_fp16_pred_on.sum')
    perf_list.append('smsp__sass_thread_inst_executed_op_fp32_pred_on.sum')
    perf_list.append('smsp__sass_thread_inst_executed_op_fp64_pred_on.sum')
    
    perf_list.append('l1tex__t_sectors_pipe_lsu_mem_global_op_ld.sum')
    perf_list.append('l1tex__t_sectors_pipe_lsu_mem_global_op_ld_lookup_hit.sum')
    perf_list.append('l1tex__t_sectors_pipe_lsu_mem_global_op_st.sum')
    perf_list.append('l1tex__t_sectors_pipe_lsu_mem_global_op_st_lookup_hit.sum')
    
    root_directory = './'
    
    config_list = get_config_list(root_directory)
    print(config_list)
    workload_list, workload_dict = get_workload_dict(root_directory, config_list)
    print(workload_dict)

    if profiling:
        execute_bashes(workload_dict, iterations, perf_list)
    

if __name__ == '__main__':
    main()