#!/usr/bin/env python
"""
    smart-top, The Phi Technology LLC
    Steve L. Nyemba & Michael Meade

    The smart-top is a utility that enables to monitor processes (among other things) and use the data for:
    - detecting anomalies
    - 
"""
import smart.top
import pandas as pd
import sys
import os
import re
import time
import numpy as np
# df = pd.DataFrame (smart.top.read(name='firefox,code'))
HOME_FOLDER = os.environ['HOME']
SYS_ARGS = {}
if len(sys.argv) > 1:
    
    N = len(sys.argv)
    for i in range(1,N):
        value = None
        if sys.argv[i].startswith('--'):
            key = sys.argv[i][2:] #.replace('-','')
            SYS_ARGS[key] = 1			
            if i + 1 < N:
                value = sys.argv[i + 1] = sys.argv[i+1].strip()
            if key and value and not value.startswith('--'):
                SYS_ARGS[key] = value
                
        
        i += 2

if __name__ == '__main__' :
    try:
        if 'help' in SYS_ARGS :
            print (help_me)
            sys.exit(0)
        if 'watch' in SYS_ARGS :
            SYS_ARGS['watch'] = int(SYS_ARGS['watch'])
            if SYS_ARGS['watch'] <= 1 :
                SYS_ARGS['watch'] = 10
        log = pd.DataFrame()    
        while True:
            os.system('clear')
            print ()
            print ("================================= SMART TOP ================================= ")
            print ()
            df = pd.DataFrame()
            if 'folder' in SYS_ARGS :
                for path in SYS_ARGS['folder'].split(',') :
                    #df = df.concat(smart.folder.read(path=path))
                    _df = smart.folder.read(path=path)
                    df = _df if df.shape[0] == 0 else pd.concat(df,_df)
                cols = df.columns.tolist()
            else:
                df =  smart.top.read()
                cols = ['pid','name','user','cpu','mem','started','date','time','status']
            
                
            
            
            
            
            for key in SYS_ARGS :
                value = SYS_ARGS[key]
                
                if not value or key not in df.columns:
                    continue 
                ii = df.apply(lambda row:re.match(value,str(row[key])) is not None,axis=1)
                df = df[ii].copy()
            
            df.index = np.arange(df.shape[0])
                
            # df = pd.DataFrame(smart.top.read(name='fire'))    
            
            #log = log.append(df)
            log = df if log.shape[0] ==0 else pd.concat(log,df)
            if not df.empty :
                print (df[cols])
            if 'watch' in SYS_ARGS :                
                time.sleep(SYS_ARGS['watch'])
                
            else:
                break
    except KeyboardInterrupt:
        if 'log' in SYS_ARGS :
            file = 'smart-top.csv' if SYS_ARGS['log'] == 1 else SYS_ARGS['log']
            log[['name','cmd','cpu','mem','started','date','time','status','node']].to_csv(file,index=False)
        print ()
        print ("... Exiting, Thanks for using smart-top")
    
    # pass
# print (df.groupby(['user'])['cpu','mem'].sum())