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tfuck.py
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tfuck.py
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#!/usr/bin/python
# tradeFucker 2000 v0.5 by Halka (with many thanks to Konstantin Suvakin)
# parses .txt files (eve online market dumps)
import os, sys
import time # for benchmarking
path = '.'
maxdev = 1.2 # max deviation of sell price (for sell order grouping)
capacity = 150 # capacity of ship's cargo hold - m^3
minmargin = 500000 # minimal trip revenue
tmp=[]; master=[]; tmaster=[]; buy=[]; sell=[]; filelist=[]; items=[];
def icn(x):
return int(float(x))
def formatnames(x,y): # truncate item/region names
word=''
words=x.split(' ')
for i in range(0,len(words)):
words[i] = words[i][:y/len(words)]
for n in range(0,len(words)):
word = word + words[n][:y]
return word
def inside(value,arr,idx): # check, if at least one field contains 'value'
for i in range(0,len(arr)): # (in a 2-dimm. array 'arr'. column index 'idx')
if arr[i][idx] == value:
return True
return False
try:
idb = open('_items.csv').readlines() # itemName;itemID;itemVolume
for line in idb:
items.append(line.replace('\n','').split(';'))
idb = None
except: pass
print 'current settings:\n%-20s %s m^3\n%-20s %s isk\n%-20s %s' % ('cargo capacity:',capacity,'min. profit margin:',minmargin,'price deviation:',(maxdev-1)*100),
print "%"
print "\nreading files...",
t_start = time.time()
for root, dirs, files in os.walk(path):
for filename in files:
if filename[-4:]=='.txt':
tmp = filename[:-4].split('-')
if filename.count('-') > 2: # some region/item names contain '-'
tmp[1] = '-'.join(tmp[1:-1]) # assuming item
tmp[2] = tmp[-1]
tmp[3] = ''
if len(filelist) == 0:
filelist.append(tmp)
elif (filelist[-1][0] == tmp[0]) and (filelist[-1][1] == tmp[1]):
if filelist[-1][2] < tmp[2]: # using the latest dump
filelist[-1] = tmp
else:
filelist.append(tmp)
t_end = time.time()
print "took %.3fs" % (t_end-t_start)
print "generating item list...",
t_start = time.time()
for file in filelist:
file[2] = file[2]+'.txt'
filename = '-'.join(file[:3])
file[2] = file[2][:-4]
f = open(filename).readlines()
for line in f:
if line[:5] == 'price': continue # skipping first line of the dump (headers)
tmplist = (line.replace('\n','').split(',')+file)
master.append(tmplist)
if not inside(tmplist[2],items,1):
items.append((file[1],tmplist[2],'1.0'))
t_end = time.time()
print "took %.3fs" % (t_end-t_start)
idb = open('_items.csv','w')
items.sort()
for line in items:
idb.write(';'.join(line)+'\n')
idb.close()
volumes = {} # load item volumes
for item in items:
volumes[item[1]] = float(item[2])
tmp = master[0]
# sell order grouping
tcena = float(master[0][0])
for i in range(1,len(master)):
if ((master[i][7] == 'False') and (tmp[7] == 'False') and (tmp[2] == master[i][2]) and (tmp[15] == master[i][15]) and (float(master[i][0]) < (float(tcena)*maxdev)) and (float(master[i][0]) >= float(tcena))):
tmp[0] = (float(tmp[0])*float(tmp[1]) + float(master[i][0])*float(master[i][1])) / (float(tmp[1]) + float(master[i][1]))
tmp[1] = float(tmp[1]) + float(master[i][1])
elif ((master[i][7] == 'True') and (tmp[7] == 'True') and (tmp[2] == master[i][2]) and (tmp[15] == master[i][15]) and (float(master[i][0]) > (float(tcena)/maxdev)) and (float(master[i][0]) <= float(tcena))):
tmp[0] = (float(tmp[0])*float(tmp[1]) + float(master[i][0])*float(master[i][1])) / (float(tmp[1]) + float(master[i][1]))
tmp[1] = float(tmp[1]) + float(master[i][1])
else:
tmaster.append(tmp)
tmp = master[i]
tcena = master[i][0]
master = tmaster
for i in master:
i[0] = icn(i[0])
i[1] = icn(i[1])
i[15] = formatnames(i[15],8)
i[16] = formatnames(i[16],14) # Last data element
i = i + [int(capacity/volumes[i[2]])] # i[18]
if i[7] == 'False':
sell.append(i)
elif i[7] == 'True':
buy.append(i)
# groupedMaster = {"ItemID":{"sell":[],"buy":[]},....}
groupedMaster = {}
for item in sell:
if item[2] in groupedMaster.keys():
groupedMaster[item[2]]['sell'].append(item)
else:
groupedMaster[item[2]] = {'sell':[item],'buy':[]}
for item in buy:
if item[2] in groupedMaster.keys():
groupedMaster[item[2]]['buy'].append(item)
else:
groupedMaster[item[2]] = {'sell':[],'buy':[item]}
#print groupedMaster
print "found %d distinct item types\n" % len(groupedMaster)
#print "buy list length: ", len(buy)
#print "sell list length: ", len(sell)
#print "total cycles: ", len(buy)*len(sell)
#print "main cycle commencing.\n"
t_start = time.time()
print('item type sell orders region buy orders region trip profit dumped:sell ordrs buy ordrs') # header
realIterations = 0
combCount = 0
for itemType in groupedMaster.keys():
for sellItem in groupedMaster[itemType]['sell']:
for buyItem in groupedMaster[itemType]['buy']:
realIterations += 1
if (sellItem[0] < buyItem[0]*0.99):
# margin for a single trip - min(#sell, #buy, #capacity/item volume)
margin = (buyItem[0] - sellItem[0])*min(sellItem[1],buyItem[1],buyItem[18])*0.99
if margin > minmargin:
combCount += 1
print('%-14s:' % (sellItem[16])),
print('%18s %10s' % (' '.join((str(sellItem[1]), 'x', str(sellItem[0]),'isk')), '['+sellItem[15]+']')),
print('>>'),
print('%18s %10s' % (' '.join((str(buyItem[1]), 'x', str(buyItem[0]),'isk')), '['+buyItem[15]+']' )),
print('%17s' % ('('+str(margin)+' isk)')),
print('... '+sellItem[-2]+' - '+buyItem[-2])
t_end = time.time()
print "\ntook %.3fs" % (t_end-t_start)
print "%d iterations complete" % realIterations
print "i have %d valid combinations" % combCount