from random import *
import random
import sys
import os
#dir = sys.argv[]

explist = [(5,),(10,),(20,),(30,),(60,),(120,),(180,), (240,), (300,), (600,), (1200,), (650,), (965,), (656,), (730,), (67,), (242,), (316,), (478,), (429,), (337,)]
options = [(3,5),(5,15), (3,30), (60,180), (180,300), (3,300)]#[(3,5), (5,15), (3,30), (60,180), (180,300), (3,300)]
permopts = [0.1,0.2,0.3,0.4,0.5]

#desc = 'singleint_3-5_noise_50_perm'+'/'
#os.makedirs(os.getcwd()+"/"+desc)
for zed in explist:
	for opt in options:
		for popt in permopts:
			#desc = 'singleint_'+str(opt[0])+'-'+str(opt[1])+'_noise_'+'no_perm/'
			desc = 'singleint_'+str(opt[0])+'-'+str(opt[1])+'_noise_'+str(float(popt)*100)+'_perm/'
			try:
				os.makedirs(os.getcwd()+"/"+desc)
			except:
				pass;
		## Parameters

			intervals = zed #(120)
			length = 10800
			number_of_lists = 1000
			random1 = opt[0]
			random2 = opt[1]
			perm = popt



			## Create interval list
			def Create_Intervals(intervals, length):
				global intlist
				intlist =[]
				for interval in intervals:
					intl = [interval]
					while intl[-1] < length:
						intl.append(intl[-1]+interval)
					intlist.extend(intl)
				#print intlist
			Create_Intervals(intervals, length)


			def Add_Permutation(no_of_perms,perm):
				global intlist
				distorted = random.sample(intlist, no_of_perms)
				perm_list = range(-perm,perm+1)
				perm_list.remove(0)
				for n, i in enumerate(intlist):
					for x in distorted:
						if i == x:
							intlist[n] = x+int(random.sample(perm_list,1)[0])
							#print intlist[n]
			Add_Permutation(int(len(intlist)*perm), 1) ## Using percentage of intlist


			def Create_Lists(number_of_lists, length, random1, random2 ):
				global intlist
				global dictt
				dictt = {}
				for e in range(0,number_of_lists):
					a = 0
					while a < length:
					#for x in range(0,int(50/3)):
						r = randint(random1,random2)
						a+=r
						if e in dictt:
							dictt[e].append(a)
						else:
							dictt[e] = [a]
						#print dictt[e]
						#print intlist
						#for x in intlist:
							#if x not in dictt[e]:
								#print x, dictt[e]
								#dictt[e].append(x)
								#dictt[e].sort()
			Create_Lists(number_of_lists, length, random1, random2)

			##join intervals and random
			def intervalsandrand():
				global dictt
				for n in intlist:
					for k,v in dictt.items():
						if n not in v:
							dictt[k].append(n)
							dictt[k].sort()
			intervalsandrand()


			##only intervals
			def onlyintervals():
				global dictt
				dictt = {}
				for e in range(0,number_of_lists):
					for n in intlist:
						if e in dictt:
							dictt[e].append(n)
						else:
							dictt[e] = [n]
					dictt[e].sort()
			#onlyintervals()


			##Write to file
			for k,v in dictt.items():
				for i in v:
					f = open(os.getcwd()+"/"+desc+str(intervals)+","+str(length)+","+str(k)+","+str(random1)+","+str(random2), "a+")
					f.write(str(i)+",")
					f.close()
					#print i,",",
					#print str(i)+',',
				#print ""
			#for x in dictt[e]:
				#print str(x)+',',

			#print dictt







'''
1000 lists for each scenario
Generate 3 hours of traffic - 10,800

Scenarios

- Done Repeat regular intervals - 5, 10, 20, 30, 60, 120, 180, 240, 300, 600, 1200, 650, 965, 656, 730, 67, 242, 316, 478, 429, 337

Repeat with multiple intervals
2 intervals
1. 180,1200
2. 965, 730
3. 10, 30
4. 965, 5
5. 60, 120
6. 242, 180
7. 478, 67
8. 1200, 30
9. 30, 300
10. 316, 300

3 intervals
1. 5, 20, 600
2. 656, 240, 67
3. 337, 300, 240
4. 10, 600, 240
5. 429, 600, 730
6. 478, 60, 650
7. 67, 478, 1200
8. 965, 20, 67
9. 67, 300, 240
10. 242, 20, 316

4 intervals
1. 1200, 120, 730, 20
2. 1200, 965, 300, 30
3. 30, 600, 67, 730
4. 60, 429, 67, 337
5. 67, 5, 730, 600
6. 5, 478, 965, 656
7. 300, 650, 120, 20
8. 20, 337, 10, 67
9. 965, 242, 337, 67
10. 337, 20, 120, 300

5 intervals
1. 30, 5, 600, 180, 120
2. 120, 478, 600, 60, 730
3. 120, 20, 300, 180, 10
4. 656, 5, 10, 180, 30
5. 300, 730, 650, 20, 180
6. 5, 656, 965, 300, 1200
7. 10, 600, 429, 60, 300
8. 67, 300, 337, 650, 5
9. 180, 478, 337, 120, 965
10. 10, 478, 656, 316, 730

10 intervals
180, 650, 656, 300, 67, 1200, 242, 5, 730, 10
316, 20, 650, 1200, 67, 120, 5, 300, 965, 240
10, 240, 67, 429, 120, 300, 30, 5, 316, 965
20, 650, 10, 337, 60, 429, 242, 300, 120, 5
429, 337, 180, 60, 240, 5, 650, 316, 242, 120
30, 10, 180, 316, 650, 300, 600, 656, 337, 120
60, 120, 20, 730, 656, 429, 10, 600, 650, 478
730, 10, 67, 650, 478, 300, 1200, 30, 316, 240
337, 650, 240, 1200, 180, 300, 20, 730, 60, 30
60, 10, 240, 730, 5, 316, 337, 478, 67, 600

20 intervals
5, 600, 20, 120, 650, 656, 965, 478, 30, 429, 10, 60, 337, 730, 1200, 180, 300, 67, 316, 240
429, 730, 67, 180, 20, 30, 60, 1200, 316, 337, 656, 478, 5, 650, 600, 242, 965, 10, 120, 240
965, 5, 1200, 429, 600, 650, 60, 478, 337, 180, 30, 242, 300, 20, 67, 10, 656, 730, 120, 316
656, 478, 300, 1200, 730, 60, 316, 242, 20, 180, 429, 5, 240, 120, 10, 650, 600, 30, 337, 67
337, 478, 300, 1200, 965, 30, 20, 10, 650, 600, 5, 656, 242, 316, 67, 120, 730, 429, 60, 240
600, 965, 337, 120, 429, 316, 300, 5, 10, 1200, 730, 240, 20, 478, 180, 242, 656, 60, 67, 30
650, 316, 300, 429, 656, 67, 337, 5, 1200, 20, 180, 240, 730, 600, 242, 30, 60, 10, 965, 478
650, 242, 965, 337, 429, 240, 60, 316, 180, 300, 5, 600, 478, 656, 730, 120, 20, 30, 10, 1200
300, 5, 120, 600, 337, 240, 10, 20, 656, 965, 180, 730, 67, 650, 60, 429, 478, 30, 1200, 316
337, 1200, 600, 656, 429, 965, 30, 242, 300, 10, 316, 478, 730, 60, 240, 20, 67, 650, 180, 5



1st set - regular intervals without noise-
2nd set - regular intervals with noise spaced between 3 and 5 seconds
3rd set - regular intervals with noise spaced between 5 and 15 seconds
4th set - regular intervals with noise spaced between 3 and 30 seconds
5th set - regular intervals with noise spaced between 1 and 3 minutes
6th set - regular intervals with noise spaced between 3 and 5 minutes
7th set - regular intervals with noise spaced between .3 and 5 minutes
random intervals

- Repeat with multiple intervals
Add permutations
1. Mild -Not frequent - (Distort 10% of the traffic with +/- 1)
20%
2. Mild - Frequent - (Distort 30% of the traffic with +/- 1)
2. Frequent distortions- 40 %
3. Aggressive distortions - 50 %
'''