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aliexp.py
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from aliexpress_api_client import AliExpress
import PIL
from PIL import Image, ImageChops
import urllib2 as urllib
import io
from itertools import izip
from libImgComp import comp_imgs
def comp_images(i1, i2):
maxsize = (500, 500)
i1.resize(maxsize)
i2.resize(maxsize)
i1 = i1.convert('RGB')
i2 = i2.convert('RGB')
return comp_imgs(i1, i2)
'''pairs = izip(i1.getdata(), i2.getdata())
if len(i1.getbands()) == 1:
# for gray-scale jpegs
dif = sum(abs(p1-p2) for p1,p2 in pairs)
else:
dif = sum(abs(c1-c2) for p1,p2 in pairs for c1,c2 in zip(p1,p2))
ncomponents = i1.size[0] * i1.size[1] * 3
return 100 - (dif / 255.0 * 100) / ncomponents'''
import math, operator
def process_str(s):
s = s.replace('(', '')
s = s.replace(')', '')
s = s.replace('<b>', '')
s = s.replace('</b>', '')
s = s.replace('<font>', '')
s = s.replace('</font>', '')
s = s.replace('Generic', '')
s = s.replace(',', '')
s = s.replace('.', '')
s = s.replace('-', '')
s = s.replace('/', '')
s = s.replace('\\', '')
s = s.replace(' ', ' ')
return s
def rmsdiff(im1, im2):
"Calculate the root-mean-square difference between two images"
diff = ImageChops.difference(im1, im2)
h = diff.histogram()
sq = (value*((idx%256)**2) for idx, value in enumerate(h))
sum_of_squares = sum(sq)
rms = math.sqrt(sum_of_squares/float(im1.size[0] * im1.size[1]))
return rms
def strdiff(s1, s2):
s1 = s1.lower()
s2 = s2.lower()
count = 0
l1 = s1.split(' ')
for item in l1:
if (s2.find(item) != -1):
count += 1
return count
def get_perc(mi, ma, va):
if (mi == ma):
for item in va:
yield 100.0
else:
for item in va:
yield (((item - mi)/(ma - mi)))*100
def get_perc_w(mi, ma, va):
if (mi == ma):
for item in va:
yield 100.0
else:
for item in va:
n = (item/ma)*100
yield n
def get_max_ind(a):
x = max(a)
for i in range(len(a)):
if (a[i] >= x - 15):
yield i
def get_min_ind(a):
x = min(a)
for i in range(len(a)):
if (a[i] <= x + 15):
return i
def get_m_i(a):
x = max(a)
for i in range(len(a)):
if (a[i] == x):
return i
def get_avg(st, img):
return (1.7*st + 0.3*img) / 2.0
def price_float(s):
return float(s[4:])
def eval_p(prices, or_p):
for price in prices:
print str(price) + ' <- PRICE'
print str(or_p) + ' <- OR_PRICE'
if (5*price > (or_p - price) and price >= 0.45*or_p):
print 'GOT ' + str(price)
yield price
def get_pairs(li):
for i in range(len(li)-1):
yield li[i] + ' ' + li[i + 1]
def get_pairs_strict(li):
for i in range(len(li)/2):
yield li[2*i] + ' ' + li[2*i + 1]
def get_all_maxs(li):
m = max(li)
for i in range(len(li)):
if li[i] == m:
yield i
def get_all_mins(li):
m = min([n for n in li if n>0])
for i in range(len(li)):
if li[i] == m:
yield i
def get_all_maxs_mild(li):
m = max(li)
for i in range(len(li)):
if li[i] >= m - 10:
yield i
def get_all_mins_mild(li):
m = min([n for n in li if n>0])
for i in range(len(li)):
if li[i] <= m + 10:
yield i
def process_pr(li, t):
for i in li:
if i > t:
yield -1
else:
yield i
def calc_result(s_item, or_price, or_img):
# print 'starting Daniils part'
COEFF = 0.7
s_item = process_str(s_item)
item_copy = s_item
aliexpress = AliExpress('YOUR_CODE_HERE')
'''while (not_working):
try:
print ' '.join(s_item.split(' ')[:-count])
products = aliexpress.get_product_list(['productTitle', 'salePrice', 'imageUrl', 'productUrl'], ' '.join(s_item.split(' ')[0:-count]))['products']
cur_len = len(products)
print cur_len
if ((cur_len < old_len or cur_len >= 15) and count >= 3):
if (cur_len < old_len):
products = aliexpress.get_product_list(['productTitle', 'salePrice', 'imageUrl', 'productUrl'], ' '.join(s_item.split(' ')[0:-(count - 1)]))['products']
print 'disabling'
not_working = False
else:
raise ValueError(' fff ')
except:
count += 1;
old_len = cur_len
if (count + 1 == len(item_copy.split(' '))):
break
#print ' '.join(s_item.split(' ')[:count])'''
done = False
old_len = 0
cur_len = 0
products = {}
le_s = len(item_copy.split(' '))
search_query = s_item.split(' ')
previous_max = 20
#a = raw_input()
while (not done):
count = 0
print "Going into the next lap"
print search_query
lens_titles = []
lens_values = []
if (len(search_query) != 1):
search_query = list(get_pairs(search_query))
max_count = len(search_query)
while (count < max_count):
products = aliexpress.get_product_list(['productTitle', 'salePrice', 'imageUrl', 'productUrl'], search_query[count],
originalPriceFrom=str(or_price*COEFF), sort="orignalPriceUp")['products']
lens_titles.append(search_query[count])
lens_values.append(len(products))
count += 1
maxs_i = list(get_all_maxs(lens_values))
print '--------------------------------'
#print maxs_i
if (len(maxs_i) == 0 or lens_values[maxs_i[0]] == 0):
#print maxs_i
#print lens_values[maxs_i[0]]
search_query = list(get_pairs_strict(final_search_query))
print 'Shutting down'
done = True
elif (len(maxs_i) == 1 and lens_values[maxs_i[0]] >= 2):
search_query = [lens_titles[maxs_i[0]]]
#print maxs_i
#print lens_values
print 'Shutting down - one good result'
done = True
elif (len(maxs_i) == 1 and lens_values[maxs_i[0]] < 2):
search_query = list(get_pairs_strict(final_search_query))
#print maxs_i
#print lens_values
print 'Shutting down - one bad result'
done = True
else:
search_query = []
#print maxs_i
print 'Keeping on'
if (len(maxs_i) >= 2 and lens_values[maxs_i[0]] != 0):
final_search_query = []
for item in maxs_i:
k = len(lens_titles[item].split(' '))
final_search_query.append(' '.join(lens_titles[item].split(' ')[:k/2]))
final_search_query.append(' '.join(lens_titles[-1].split(' ')[k/2+1:]))
search_query = list(get_pairs_strict(final_search_query))
#printing the result
'''
for item in search_query:
products = aliexpress.get_product_list(['productTitle', 'salePrice', 'imageUrl', 'productUrl'], item)['products']
print '----------------------------------------------------------------------'
print item
print len(products)
for i in products:
print i['productTitle']
'''
links = []
prices = []
perc = []
diffs = []
print search_query
print 'STARTING CHECK FOR EACH POS ...'
for s in search_query:
print 'INPUT:'
print s
products = aliexpress.get_product_list(['productTitle', 'salePrice', 'imageUrl', 'productUrl'], s,
originalPriceFrom=str(or_price*COEFF), sort="orignalPriceUp")['products']
print len(products)
#a = raw_input()
l, p, perct, diff = search(products, item_copy, or_price, or_img)
links.extend(l)
prices.extend(p)
perc.extend(perct)
diffs.extend(diff)
max_perc = list(get_all_maxs_mild(perc))
min_prices = list(get_all_mins_mild(prices))
print 'ORIG PR : ' + str(or_price)
result = list(set(max_perc).intersection(min_prices))
print 'MAX PERC:'
print max_perc
print 'MIN PRC:'
print min_prices
prices = list(process_pr(prices, or_price))
print prices
print 'RES:'
print result
result_perc = []
for item in result:
print links[item]
print prices[item]
print perc[item]
result_perc.append(perc[item])
if (len(result) != 0):
final_ind = get_m_i(result_perc)
fin = result[final_ind]
#a = raw_input()
if (len(result) != 0):
return links[fin], prices[fin], diffs[fin]
else:
return links[min_prices[0]], prices[min_prices[0]], diffs[min_prices[0]]
def search(products, s_item, or_price, or_img):
print 'Starting search...'
#print len(products)
#try:
#print or_img
fd = urllib.urlopen(or_img)
orig_img_link = io.BytesIO(fd.read())
orig_img = Image.open(orig_img_link)
#except:
#orig_img_link = cStringIO.StringIO(urllib.urlopen('http://cs617219.vk.me/v617219415/c9c4/KUCX_V8m7CQ.jpg').read())
#orig_img = Image.open(orig_img_link)
titles = []
image_diffs = []
img_data = []
#i = 0;
for item in products:
#i += 1;
#img.show()
#print process_str(item['productTitle'])
titles.append(process_str(item['productTitle']))
try:
#print item['productTitle'] + item['salePrice'] + '\n' + item['imageUrl'] + '\n'
fd = urllib.urlopen(item['imageUrl'])
img_link = io.BytesIO(fd.read())
img = Image.open(img_link)
#image_diffs.append(rmsdiff(img, orig_img))
#print comp_images(orig_img, img)
img_data.append(comp_images(orig_img, img))
#a = raw_input();
#print i
#print '___________________________________________________________________________'
except:
img_data.append(50)
string_diffs = map(strdiff, titles, [s_item]*len(titles))
max_strdiff = float(max(string_diffs))
# max_imgdiff = float(max(image_diffs))
min_strdiff = float(min(string_diffs))
# min_imgdiff = float(min(image_diffs))
#print 'CHECK IMG DATA'
#print img_data
#print 'MIN'
#print min(img_data)
#print 'MAX'
#print max(img_data)
str_data = list(get_perc_w(min_strdiff, max_strdiff, string_diffs))
img_data = list(get_perc(min(img_data), max(img_data), img_data))
comp_data = map(get_avg, str_data, img_data)
#print "word matches: "
#print str_data
#print "images:"
#print img_data
#print "comp:"
#print comp_data
ids = list(get_max_ind(comp_data))
#print 'IDs'
#print ids
urls = []
prices = []
percs = []
diffs = []
for item in ids:
urls.append(products[item]['productUrl'])
prices.append(price_float(products[item]['salePrice']))
percs.append(comp_data[item])
diffs.append(or_price - price_float(products[item]['salePrice']))
print urls
print prices
print percs
print diffs
#'''or (or_price - new_price > 5*new_price) or comp_data[ids[get_min_ind(prices)]] < 50'''
return urls, prices, percs, diffs