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EntityResolution.py
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EntityResolution.py
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"""
A proposed solution to the Entity Resolution of the 2nd DI2KG Workshop Challenge (Monitor Data, Domain knowledge category)
Authors:
Gabriel Campero Durand ([email protected])
Anshu Daur ([email protected])
Chinmaya Hegde ([email protected])
Prafulla Diwesh ([email protected])
Shivalika Suman ([email protected])
Vinayak Kumar ([email protected])
David Broneske ([email protected])
Affiliation: University of Magdeburg, Databases and Software Engineering Workgroup.
"""
from os import listdir, walk
from os.path import isfile, join
import json
import pickle
import json
import os
import numpy as np
import pandas as pd
import re
import copy
import itertools
def get_dic_key(val, dic):
for key, value in dic.items():
for v in value:
if val == v:
return key.lower()
return val.lower()
"""
Step 1: TF-IDF vectorization and collecting of the explicit brands
"""
print("A solution highly tailored to the domain, with the core strategies of: information propagation for model detection,\
carefully-tuned brand and model extraction (with domain-specific choices).\
All in all it could take around 15 minutes to run this, depending on the machine.")
print("************************************")
print("Program assumptions (other than requirements):\n 1) We assume 2013_monitor_specs to be in the same path.\n")
print("The domain-specific choices we made are limited to: \na) cleaning of site-specific texts for better TF-IDF results, \
\nb) non-exhaustive brand (attribute) keywords, extracted by looking at some examples of the data \n \
c) brand names that were extracted with a bit of a human-in-the-loop process \
(where we saw the brand names emerging and collected alternative names),\n \
d) a large amount of rules for brand cleaning, resulting from data understanding (this is the less general aspect of our solution)... \
the amount of hand-crafted configurations really show the amount of time the team spent exploring and understanding the data, \n \
e) Rules for extracting the models\nf) Cleaning of false-positive model names.\nWe consider the hard-coded rules to deter from our generality. \
However, we include them since they are crucial for finding a straight-forward solution with the limited resources chosen.\n\n")
print("Phase 1: Collecting of the explicit brands. (One minute or so)")
dict_={'spec':[],
'title':[],
'brand':[]}
files = sorted([join(r,file).replace("2013_monitor_specs/","").replace(".json","") for r,d,f in walk("2013_monitor_specs/") for file in f])
key_words_brands=['brand','brand name','manufacturer','product name','product line','label','publisher','studio']#We get this by just looking at the data.
#'aoc envision',
brand_list=['viewSonic','lenovo','dell','hp','lg','formac','iiyama','planar',
'fujitsu','philips','phillips','nec','acer','westinghouse','allen bradley','asus',
'samsung','ibm','barco','olympus','panasonic','raritan','elo','acer','apple','eizo','iogear','aoc', 'benq','qnix','mimo','envision','aopen',
'aten','hannspree','datalux','gnr','veba','hyunday','hyundai','ag neovo','lilliput','princeton',
'aoc monitor','hanns-g','xenarc','ag neovo','tatung','sharp','PNA601','auria','sva','relisys',
'doublesight displays','doublesight','lynteck','lenovo thinkvision','hewlett-packard','Hewlett packard', 'hhewlett'
'proview','genie','wortmann','seacomp','zeiss','intellinet','star','rotronic','neovo','newstar','promethean',
'eizi','kogan','sunbrite','partnertech','puritron','elitedesktop','hitachi','syncmaster',
'kontron','liquidvideo','preh','crystalpro','agm','sunbritetv','zentview tomato',
'timex','bestech','gateaway','triple arm','matrox','hama','tomy classic','contec',
'kongtop','view sonic','tommee tippee','motorola','tenvis',
'maxdata','run plus','ikegami','bmw','vector','machood','quanta','rittal',
'vibox','yuraku','nextbase','ohmeda','daevoo','funtica',
'performa','cnc','tomy digital','psi','next','skyport',
'moview','brilliance','sigma','bsi','videoseven','belinea','vaillant',
'vibox','unho','concept','omnitronic','sgi','emprex','m&a','starlogic','advent',
'batesias','anyarm','seneye','transcend','unho','baumer','xexun', 'magnavox',
'binatone','auna','professional','staples','merit','kortek',
'yusmart','videoseven','powerworks','medion',
'mendor','xcellon','tanita','digimate','ryoku','tenvis','likom','sun 365','nit rackmux',
'westbrook','proac','viglen','austin hughes','slim age','slimage','moview',
'lexus','urmet arco','advent','peavey eurosys','sandberg','steelmate','stem izon','jetway',
'rose rackview','atronic','brasscraft','vibrant','aview','skyport','au optronics','matchless',
'harsper','ilyama','tomy digital','prodisplay','evov','tecklink','skytec','bt pathway',
'imm living inc.','e yama','vector','contec08d','amstyle','chatsworth','sensormatic','hannsg','v7',
'Roline','hanns.g','apc','alpha touch','xo vision','gvision','mcm',"chasis plans",'arbor',"faytech", "chassis plans","chunghwa"]
#Domain knowledge and dataset-specific.
brand_list=list(set([_.lower() for _ in brand_list]))
not_brands=['mp3car', 'tft', 'mixed', 'core', 'r&m', 'x-10', 'business','rx', 'skilcraft','nds','pro','vesa','pct2265 22 inch black hid bezel multi-touch lcd usb vga hdmi dvi-d','pxl2430mw','vision','pl1711m', 'acbel','kenwood','krk','l@@k','lindam clarity','lipo','mamba']
rule_dic = {'contec':['contec08d','contec'],'dell':['dell','ultrasharp','optiplex','wyse'],'hp':['hewlett-packard','hewlett packard','hhewlett','zr22w','hp'],'nec':['nec'],
'mitsubishi':['mitsubishi'],'samsung':['dc series','samsung','essential'],'lg':['lg','sva-usa'],'apple':['apple'],
'acer':['acer'],'cisco':['cisco'],'philips':['phillips','philips'],'asus':['asus','republic of gamers'],'aver':['aver','avervision'],
'iiyama':['iiyama'],'epson':['epson'],'compaq':['compaq'],'sony':['sony'],'fuji':['fuji','fujicom'],
'viewsonic':['viewsonic','optiquest'],'hyundai':['hyundai','hyunday'],'lenovo':['lenovo','d221','thinkpad'],'ibm':['ibm'],
'elo':['elo','tyco electronics'],'fujitsu':['fujitsu','fijitsu'],'packard bell':['packard bell'],'Yiynova':['panda city'],
'datalogic':['datalogic'],'3m':['microtouch','3m'],'touchsystems':['touch systems','touchsystems'],'panasonic':['panasonic'],'olympus':['olympus'],
'american dynamics':['american dynamics'],'ctx':['ctx'],'pioneerpos':['pioneerpos'],'ais':['ais'],'adesso':['adesso'],
'advance one':['advance one'],'ace':['ace'],'aei':['aei'],'ag neovo':['ag neovo technology corp.'],'APC':['american power conversion corp','apc'],
'aspen':['aspen'],'aten technologies':['aten technologies'],'automation direct':['automation direct'],'bci technology':['bci technology'],
'cleartunes':['cleartunes'],'cinq':['cinq'],'cornea':['cornea'],'element electronics':['element electronics'],'ematic':['ematic'],
'emerson':['emerson'],'etronix':['etronix'],'feelworld':['feelworld'],'foxboro':['foxboro'],'innolux':['innolux'],
'infocus':['infocus'],'logic controls':['logic controls'],'magnavox':['magnavox'],'norwood':['norwood'],'nanovision':['nanovision'],
'omron':['omron'],'pelco':['pelco'],'insignia':['insignia'],'crossover':['crossover'],'mag':['mag innovision','mag'],'bk sems':['bk sems'],
'avocent':['avocent'],'sceptre':['sceptre'],'chimei':['chimei'],'kds':['kds'],'siemens':['siemens'],'totevision':['totevision'],
'envision monitors':['envision monitors'],'x-star':['x-star'],'sympodium':['sympodium'],'aoc':['brand new b-billion','aoc international','aoc monitor','aoc envision'],'apc':['apc'],
'i inc':['i inc'],'amptron':['amptron'],'gechic':['gechic'],'amw':['amw'],'pyle':['Pyle audio','inc'],'adi':['adi'],
'cmo':['cmo'],'vaddio':['vaddio'],'upstar':['upstar'],'commodore':['commodore'],'sansui':['sansui'],'carnetix':['carnetix'],
'earth computer tech':['earth computer tech'],'itronix':['itronix'],'planar systems':['planar systems'],'schneider electric':['schneider electric'],
'vizta':['vizta'],'achieva':['achieva'],'avue':['avue'],'soyo':['soyo'],'emachines':['emachines'],'gvision':['gvision'],
'silicon graphics':['sgi','silicon graphics'],'starlogic':['star logic'],'mimo':['mimo monitors'],'hannspree':['hanns-g','hanns.g','hannspree'],
'hkc':['hkc'],'sansui':['sansui'],'omni vision':['omni vision'],'proview':['proview system desktop'],'pyle':['pylehome'],
'evga':['evga'],'formac':['formac'],'planar':['helium'],'eizo':['eizo coloredge','eizo'],'edge10':['edge10'],"chassis plans":['chasis plans','chassis plans'],"medion":['medion erazer','medion']}
brand_dict=dict()
count=0
words_re = re.compile("|".join(brand_list))
for item in files:
f = open("2013_monitor_specs/"+item+".json")
data = json.load(f)
found_brand=False
title=""
for i in sorted(list(data.keys())):
str_to_append=str(data[i])
if i=="<page title>":
if str_to_append[0:4]=="Buy ":
str_to_append=str_to_append[4:]
str_to_append=str_to_append.replace("PCPartPicker Canada","")
str_to_append=str_to_append.replace("Pricing and Details - Catalog.com","")
str_to_append=str_to_append.replace("Yikus.com","")
str_to_append=str_to_append.replace("| UK | Ebay Items | Best Deal Items | Auctions | Free Shipping | Goods | Services | Wholesales | Retail | Trade","")
str_to_append=str_to_append.replace("| eBay","")
str_to_append=str_to_append.replace("| Compare Prices & Save shopping in Australia","")
str_to_append=str_to_append.replace("- MediaShopUK","")
str_to_append=str_to_append.replace("- MrHighTech Shop","")
str_to_append=str_to_append.replace(": Monitors : Monitors : Nexus Technology UK, Colchester, Essex","")
str_to_append=str_to_append.replace("by Office Depot","")
str_to_append=str_to_append.replace("OHC24 Shop : Monitor > Monitor search help >","")
str_to_append=str_to_append.replace("- PC-Canada.com","")
str_to_append=str_to_append.replace("- SoftwareCity.ca - Canada","")
str_to_append=str_to_append.replace("- Vology","")
str_to_append=str_to_append.replace("- Xpcpro.com","")
str_to_append=str_to_append.replace("today at PC Connection","")
str_to_append=str_to_append.replace("Compare prices for","")
str_to_append=str_to_append.replace("reviews - ShopMania","")
title=str_to_append
if i in key_words_brands and not found_brand:
found_brand=True
v=data[i]
if type(v)==list:
v=v[0].lower()
v=v.lower()
if ':' in v:
v=v.replace(':','').strip()
brand=get_dic_key(v, rule_dic)
if 'acer' in brand:
brand='acer'
elif '3m' in brand:
brand='3m'
elif 'benq' in brand:
brand='benq'
elif 'asus' in brand:
brand='asus'
elif 'barco' in brand:
brand='barco'
elif 'dell' in brand:
brand='dell'
elif 'doublesight' in brand:
brand='doublesight'
elif 'elo' in brand:
brand='elo'
elif 'envision' in brand and not brand=="aoc envision":
brand='envision'
elif "aoc" in brand:
brand="aoc"
elif 'hewlett' in brand or 'hp' in brand:
brand='hp'
elif 'hyundai' in brand:
brand='hyundai'
elif 'iiyama' in brand:
brand='iiyama'
elif 'lenovo' in brand or 'thinkpad' in brand or 'think pad' in brand:
brand='lenovo'
elif 'lg' in brand:
brand='lg'
elif 'nec' in brand:
brand='nec'
elif 'philips' in brand:
brand='philips'
elif 'planar' in brand:
brand='planar'
elif 'princeton' in brand:
brand='princeton'
elif 'pyle' in brand:
brand='pyle'
elif 'rockwell' in brand:
brand='rockwell'
elif 'viewsonic' in brand:
brand='viewsonic'
elif brand in not_brands:
brand='to_delete'
dict_['brand'].append(brand)
brand_dict[item]=brand
if brand not in brand_list:
brand_list.append(brand)
words_re = re.compile("|".join(brand_list))
dict_['spec'].append(item)
dict_['title'].append(title)
if not found_brand:
dict_['brand'].append("N.A")
brand_dict[item]="N.A"
for i in range(0,len(dict_["spec"])):
if dict_['brand'][i]== "N.A":
title=dict_['title'][i].lower()
if words_re.search(title):
brand=words_re.search(title).group()
brand=get_dic_key(brand, rule_dic)
if 'acer' in brand:
brand='acer'
elif '3m' in brand:
brand='3m'
elif 'asus' in brand:
brand='asus'
elif 'benq' in brand:
brand='benq'
elif 'barco' in brand:
brand='barco'
elif 'dell' in brand:
brand='dell'
elif 'doublesight' in brand:
brand='doublesight'
elif 'elo' in brand:
brand='elo'
elif 'envision' in brand and not brand=="aoc envision":
brand='envision'
elif "aoc" in brand:
brand="aoc"
elif 'hewlett' in brand or 'hp' in brand:
brand='hp'
elif 'hyundai' in brand:
brand='hyundai'
elif 'iiyama' in brand:
brand='iiyama'
elif 'lenovo' in brand or 'thinkpad' in brand or 'think pad' in brand:
brand='lenovo'
elif 'lg' in brand:
brand='lg'
elif 'nec' in brand:
brand='nec'
elif 'philips' in brand:
brand='philips'
elif 'planar' in brand:
brand='planar'
elif 'princeton' in brand:
brand='princeton'
elif 'pyle' in brand:
brand='pyle'
elif 'rockwell' in brand:
brand='rockwell'
elif 'viewsonic' in brand.lower():
brand='viewsonic'
elif brand in not_brands:
brand='to_delete'
dict_['brand'][i]=brand
brand_dict[dict_["spec"][i]]=brand
"""
Step 2: Brand and non-product cleaning
"""
print("Phase 2: Brand cleaning- In this step we adopt a series of rules to clean brands and non-products. (One minute or so)")
to_delete_rules=set(['belkin','iogear'])
to_delete=set(['ergotron','compucessory','fellowes','kantek','rosewill','sports tracker',"dust off", "dust_off","dust-off"])
to_delete_files=set()
to_delete_files_rules=set()
reasons_to_delete=dict()
item_to_id = dict()
stopwords=["17","15","display","product","led","17'","15'","21","23","24","3m","22","17","21.5","22","ve","20","allen-bradley","cd/mâ²", "color",\
"professional","details","ultrasharp","27","3d","cinema","wide","x series","ultrasharp","19","920","ds-","new","cd/m2","1u","ohc24","2711p",
"715l1009", "pe1229", "17''","e114849"]
for i in brand_dict:
if brand_dict[i] in to_delete:
to_delete_files.add(i)
elif brand_dict[i] in to_delete_rules:
to_delete_files_rules.add(i)
to_delete_files.add("www.ebay.com/19097")
brand_dict2= {
"pge":["pge"],
"gvision":["gvision"],
"chassis plans": ["chassis plans", "chasis plans"],
"auo":["auo","au optronics"],
"mcm":["MCM","mcm"],
"dell":[
"dell",
"ultrasharp",
"optiplex",
"wyse"
],
"hp":[
"hewlett-packard",
"hewlett packard",
"hhewlett",
"zr22w"
],
"nec":[
"nec"
],
"mitsubishi":[
"mitsubishi"
],
"samsung":[
"dc series",
"samsung",
"essential"
],
"lg":[
"lg",
"sva-usa"
],
"apple":[
"apple",
"macbook"
],
"acer":[
"acer"
],
"cisco":[
"cisco"
],
"philips":[
"phillips",
"philips"
],
"asus":[
"asus",
"republic of gamers"
],
"aver":[
"aver",
"avervision"
],
"iiyama":[
"iiyama",
"ilyama"
],
"epson":[
"epson"
],
"compaq":[
"compaq"
],
"sony":[
"sony"
],
"fuji":[
"fuji",
"fujicom"
],
"viewsonic":[
"viewsonic",
"optiquest"
],
"hyundai":[
"hyundai",
"hyunday"
],
"lenovo":[
"lenovo",
"d221",
"thinkpad"
],
"ibm":[
"ibm"
],
"elo":[
"elo",
"tyco electronics"
],
"fujitsu":[
"fujitsu",
"fijitsu"
],
"packard bell":[
"packard bell"
],
"Yiynova":[
"panda city"
],
"datalogic":[
"datalogic"
],
"3M":[
"microtouch"
],
"touchsystems":[
"touch systems",
"touchsystems"
],
"panasonic":[
"panasonic"
],
"olympus":[
"olympus"
],
"american dynamics":[
"american dynamics"
],
"ctx":[
"ctx"
],
"pioneerpos":[
"pioneerpos"
],
"ais":[
"ais"
],
"adesso":[
"adesso"
],
"advance one":[
"advance one"
],
"ace":[
"ace"
],
"aei":[
"aei"
],
"ag neovo":[
"ag neovo technology corp."
],
"apc":[
"american power conversion corp"
],
"aspen":[
"aspen"
],
"aten technologies":[
"aten technologies",
"aten corp",
"aten"
],
"automation direct":[
"automation direct"
],
"bci technology":[
"bci technology"
],
"cleartunes":[
"cleartunes"
],
"cinq":[
"cinq"
],
"cornea":[
"cornea"
],
"element electronics":[
"element electronics"
],
"ematic":[
"ematic"
],
"emerson":[
"emerson"
],
"etronix":[
"etronix"
],
"feelworld":[
"feelworld"
],
"foxboro":[
"foxboro"
],
"innolux":[
"innolux"
],
"infocus":[
"infocus"
],
"logic controls":[
"logic controls"
],
"magnavox":[
"magnavox"
],
"norwood":[
"norwood"
],
"nanovision":[
"nanovision",
"nano"
],
"omron":[
"omron"
],
"pelco":[
"pelco"
],
"insignia":[
"insignia"
],
"crossover":[
"crossover"
],
"mag":[
"mag innovision",
"mag"
],
"bk sems":[
"bk sems"
],
"avocent":[
"avocent"
],
"sceptre":[
"sceptre"
],
"chimei":[
"chimei"
],
"kds":[
"kds"
],
"siemens":[
"siemens"
],
"totevision":[
"totevision",
"TOTE VISION",
"tote vision"
],
"envision monitors":[
"envision monitors"
],
"x-star":[
"x-star"
],
"sympodium":[
"sympodium"
],
"aoc":[
"brand new b-billion",
"aoc international",
"apc",
"aoc monitor",
"aoc envision"
],
"i inc":[
"i inc"
],
"amptron":[
"amptron"
],
"gechic":[
"gechic"
],
"amw":[
"amw"
],
"pyle":[
"Pyle audio",
"inc"
],
"adi":[
"adi"
],
"cmo":[
"cmo"
],
"vaddio":[
"vaddio"
],
"upstar":[
"upstar"
],
"commodore":[
"commodore"
],
"sansui":[
"sansui"
],
"carnetix":[
"carnetix"
],
"earth computer tech":[
"earth computer tech"
],
"itronix":[
"itronix"
],
"planar systems":[
"planar systems"
],
"schneider electric":[
"schneider electric"
],
"vizta":[
"vizta"
],
"achieva":[
"achieva"
],
"avue":[
"avue"
],
"soyo":[
"soyo"
],
"emachines":[
"emachines"
],
"gvision":[
"gvision"
],
"hkc":[
"hkc"
],
"sansui":[
"sansui"
],
"omni vision":[
"omni vision"
],
"proview":[
"proview system desktop"
],
"pyle":[
"pylehome"
],
"silicon graphics":[
"sgi",
"silicon graphics"
],
"starlogic":[
"star logic"
],
"mimo":[
"mimo monitors"
],
"hannspree":[
"hanns-g",
"hanns.g",
"hannspree",
"hannsg",
"hanns g",
],
"evga":[
"evga"
],
"formac":[
"formac"
],
"planar":[
"helium"
],
"eizo":[
"eizo coloredge",
"eizo"
],
"edge10":[
"edge10"
],
"xo vision":["xo vision"],
"faytech": ["faytech"],
"tatung":["tatung"],
"primera":["primera"],
"polycom":["polycom"],
"yuraku":["yuraku"],
}
quick_fix={"aoc":"aoc",
"hanns g":"hannspree",
"alienware":"alienware",
"barco":"barco",
"ultrasharp u2410":"dell",
"toshiba":"toshiba","xerox":"xerox","compaq v":"compaq","benq":"benq",
"unbranded/generic":"unbranded/generic", "ncr":"ncr", "yamakasi":"yamakasi", "gateway":"gateway", "rockwell":"rockwell", "allen bradley":"rockwell","qnix":"qnix", "night owl":"night owl", "1plus":"1plus","wasabi mango":"wasabi mango","speco":"speco","bosto":"bosto","nanov":"nanov","westinghouse":"westinghouse","veba":"veba","pioneer pos":"pioneerpos","3m":"3m", "samsung syncmaster":"samsung", "bk sems by samsung":"samsung","autonav":"autonav","v7":"v7","tatung":"tatung","gnr":"gnr","doublesight":"doublesight","smart technologies":"smart technologies","mace":"mace","prism":"prism","lilliput":"lilliput","monoprice":"monoprice","genie":"genie","i-inc":"i-inc","ctl":"ctl","datalux":"datalux",
"auria":"auria","weldex":"weldex","innovera":"innovera","generaltouch":"generaltouch","atlona":"atlona","aten":"aten technologies","miracle business":"miracle business", "sysonic/miracle business":"miracle business","sysonic":"miracle business", "relisys":"relisys","jvc":"jvc","vigilant":"vigilant","canvys":"canvys","vizio":"vizio","pos-x":"pos-x","microtek":"microtek","viewz":"viewz","xenarc":"xenarc",
"lacie":"lacie","newline interactive":"newline interactive","okina":"okina","raritan":"raritan","princeton":"princeton","dclcd":"dclcd","sgi / silicon graphics":"silicon graphics","rog":"asus","aopen":"aopen","lyntek":"lyntek","firebox":"firebox","startech":"startech","startech.com":"startech", "StarTech":"startech", "marshall":"marshall","idesign":"idesign", "tripp":"tripp","boe hydis":"boehydis", "boehydis":"boehydis","medion":"medion","angel":"angel","advueu":"advueu","ingram":"ingram","norcent":"norcent","wren":"wren","xeno":"xeno", "sun microsystems":"sun microsystems","sunray":"sunray","emprex":"emprex"}
missing_brands=set()
items_with_missing_brands=set()
for item in brand_dict.keys():
if not brand_dict[item] in brand_dict2:
if brand_dict[item] in quick_fix:
brand_dict[item] = quick_fix[brand_dict[item]]
else:
if (not brand_dict[item] in to_delete) and (not brand_dict[item] in to_delete_rules) and brand_dict[item]!="to_delete":
missing_brands.add(brand_dict[item])
items_with_missing_brands.add(item)
will_delete=[]
will_keep=[]
will_keep_brands=[]
will_keep=['catalog.com/266', 'catalog.com/337', 'catalog.com/402', 'catalog.com/619', 'ce.yikus.com/181', 'ce.yikus.com/537', 'www.best-deal-items.com/1005', 'www.best-deal-items.com/1011', 'www.best-deal-items.com/1033', 'www.best-deal-items.com/1041', 'www.best-deal-items.com/1071', 'www.best-deal-items.com/1085', 'www.best-deal-items.com/1123', 'www.best-deal-items.com/1214', 'www.best-deal-items.com/1229', 'www.best-deal-items.com/1286', 'www.best-deal-items.com/1287', 'www.best-deal-items.com/1324', 'www.best-deal-items.com/1335', 'www.best-deal-items.com/1352', 'www.best-deal-items.com/138', 'www.best-deal-items.com/1382', 'www.best-deal-items.com/1394', 'www.best-deal-items.com/1480', 'www.best-deal-items.com/1517', 'www.best-deal-items.com/1558', 'www.best-deal-items.com/1573', 'www.best-deal-items.com/1588', 'www.best-deal-items.com/159', 'www.best-deal-items.com/1679', 'www.best-deal-items.com/1717', 'www.best-deal-items.com/1788', 'www.best-deal-items.com/18', 'www.best-deal-items.com/1830', 'www.best-deal-items.com/1842', 'www.best-deal-items.com/1844', 'www.best-deal-items.com/1964', 'www.best-deal-items.com/2037', 'www.best-deal-items.com/2038', 'www.best-deal-items.com/2057', 'www.best-deal-items.com/2105', 'www.best-deal-items.com/2120', 'www.best-deal-items.com/2157', 'www.best-deal-items.com/2218', 'www.best-deal-items.com/227', 'www.best-deal-items.com/2365', 'www.best-deal-items.com/239', 'www.best-deal-items.com/2537', 'www.best-deal-items.com/2593', 'www.best-deal-items.com/2657', 'www.best-deal-items.com/2691', 'www.best-deal-items.com/2719', 'www.best-deal-items.com/2777', 'www.best-deal-items.com/28', 'www.best-deal-items.com/282', 'www.best-deal-items.com/430', 'www.best-deal-items.com/437', 'www.best-deal-items.com/509', 'www.best-deal-items.com/526', 'www.best-deal-items.com/591', 'www.best-deal-items.com/598', 'www.best-deal-items.com/628', 'www.best-deal-items.com/658', 'www.best-deal-items.com/702', 'www.best-deal-items.com/73', 'www.best-deal-items.com/742', 'www.best-deal-items.com/773', 'www.best-deal-items.com/780', 'www.best-deal-items.com/783', 'www.best-deal-items.com/857', 'www.best-deal-items.com/873', 'www.best-deal-items.com/969', 'www.cleverboxes.com/221', 'www.cleverboxes.com/516', 'www.ebay.com/10733', 'www.ebay.com/11317', 'www.ebay.com/11500', 'www.ebay.com/11630', 'www.ebay.com/15548', 'www.ebay.com/15955', 'www.ebay.com/16419', 'www.ebay.com/16801', 'www.ebay.com/18221', 'www.ebay.com/18538', 'www.ebay.com/18821', 'www.ebay.com/18895', 'www.ebay.com/18994', 'www.ebay.com/19324', 'www.ebay.com/19325', 'www.ebay.com/19400', 'www.ebay.com/19615', 'www.ebay.com/20048', 'www.ebay.com/20059', 'www.ebay.com/20238', 'www.ebay.com/20521', 'www.ebay.com/20534', 'www.ebay.com/20750', 'www.ebay.com/20913', 'www.ebay.com/21303', 'www.ebay.com/21325', 'www.ebay.com/21402', 'www.ebay.com/21445', 'www.ebay.com/21560', 'www.ebay.com/21566', 'www.ebay.com/21913', 'www.ebay.com/21991', 'www.ebay.com/22344', 'www.ebay.com/22569', 'www.ebay.com/22696', 'www.ebay.com/23445', 'www.ebay.com/23677', 'www.ebay.com/9507', 'www.ebay.com/9572', 'www.ebay.com/9639', 'www.ebay.com/9800', 'www.ebay.com/9809', 'www.pc-canada.com/315', 'www.pcconnection.com/1901', 'www.softwarecity.ca/1533']
will_keep_brands=['startech', 'startech', 'startech', 'startech', 'angel', 'angel', 'unbranded/generic', 'startech', 'acer', 'tripp', 'unbranded/generic', 'starlogic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'boehydis', 'medion', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'advueu', 'boscam', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'ingram', 'startech', 'unbranded/generic', 'norcent', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'tripp', 'unbranded/generic', 'unbranded/generic', 'nec', 'unbranded/generic', 'wren', 'unbranded/generic', 'xeno', 'sun microsystems', 'sunray', 'dell', 'unbranded/generic', 'tripp', 'unbranded/generic', 'acer', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'tripp', 'startech', 'startech', 'emprex', 'unbranded/generic', 'startech', 'unbranded/generic', 'unbranded/generic', 'startech', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'dell', 'ag neovo', 'ag neovo', 'touch controls inc', 'unbranded/generic', 'rca', 'mass multimedia', 'startech', 'arbor', 'touch controls inc', 'lenovo', 'touch displays', 'startech', 'dell', 'suntomo', 'tripp', 'wacom', 'unbranded/generic', 'norcent', 'startech', 'startech', 'dell', 'short-circuit.com', 'tripp', 'tripp', 'niko', 'startech', 'startech', 'tripp', 'unbranded/generic', 'angel', 'lilliput', 'tripp', 'ic power', 'tripp', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'tripp', 'hp', 'unbranded/generic', 'tripp', 'mgc', 'advueu', 'hp', 'tripp', 'hp']
for i in range(0,len(will_keep)):
brand_dict[will_keep[i]]=will_keep_brands[i]
for item in to_delete_files:
del brand_dict[item]
for item in to_delete_files_rules:
with open("2013_monitor_specs/"+item+".json", 'r') as myfile:
data = myfile.read().lower()
if not "rack" in data:
del brand_dict[item]
will_keep2=['catalog.com/323', 'catalog.com/397', 'ce.yikus.com/264', 'ce.yikus.com/303', 'ce.yikus.com/814', 'www.best-deal-items.com/1023', 'www.best-deal-items.com/1037', 'www.best-deal-items.com/107', 'www.best-deal-items.com/1078', 'www.best-deal-items.com/1092', 'www.best-deal-items.com/1115', 'www.best-deal-items.com/1127', 'www.best-deal-items.com/1163', 'www.best-deal-items.com/1166', 'www.best-deal-items.com/1169', 'www.best-deal-items.com/1185', 'www.best-deal-items.com/1188', 'www.best-deal-items.com/1192', 'www.best-deal-items.com/1209', 'www.best-deal-items.com/1225', 'www.best-deal-items.com/1226', 'www.best-deal-items.com/1230', 'www.best-deal-items.com/1277', 'www.best-deal-items.com/1282', 'www.best-deal-items.com/1298', 'www.best-deal-items.com/1319', 'www.best-deal-items.com/1329', 'www.best-deal-items.com/1331', 'www.best-deal-items.com/1343', 'www.best-deal-items.com/1365', 'www.best-deal-items.com/1373', 'www.best-deal-items.com/1425', 'www.best-deal-items.com/1443', 'www.best-deal-items.com/1444', 'www.best-deal-items.com/1454', 'www.best-deal-items.com/1481', 'www.best-deal-items.com/1501', 'www.best-deal-items.com/1503', 'www.best-deal-items.com/1519', 'www.best-deal-items.com/1527', 'www.best-deal-items.com/155', 'www.best-deal-items.com/1559', 'www.best-deal-items.com/1602', 'www.best-deal-items.com/1620', 'www.best-deal-items.com/1625', 'www.best-deal-items.com/1626', 'www.best-deal-items.com/1630', 'www.best-deal-items.com/1645', 'www.best-deal-items.com/1656', 'www.best-deal-items.com/166', 'www.best-deal-items.com/1696', 'www.best-deal-items.com/1701', 'www.best-deal-items.com/1715', 'www.best-deal-items.com/1728', 'www.best-deal-items.com/1744', 'www.best-deal-items.com/1757', 'www.best-deal-items.com/1758', 'www.best-deal-items.com/1769', 'www.best-deal-items.com/1770', 'www.best-deal-items.com/1782', 'www.best-deal-items.com/179', 'www.best-deal-items.com/1821', 'www.best-deal-items.com/1823', 'www.best-deal-items.com/1824', 'www.best-deal-items.com/1826', 'www.best-deal-items.com/1848', 'www.best-deal-items.com/1854', 'www.best-deal-items.com/188', 'www.best-deal-items.com/1881', 'www.best-deal-items.com/1888', 'www.best-deal-items.com/189', 'www.best-deal-items.com/1906', 'www.best-deal-items.com/1929', 'www.best-deal-items.com/1940', 'www.best-deal-items.com/1942', 'www.best-deal-items.com/1953', 'www.best-deal-items.com/1957', 'www.best-deal-items.com/1972', 'www.best-deal-items.com/1988', 'www.best-deal-items.com/2003', 'www.best-deal-items.com/2013', 'www.best-deal-items.com/2021', 'www.best-deal-items.com/2060', 'www.best-deal-items.com/2062', 'www.best-deal-items.com/2071', 'www.best-deal-items.com/2095', 'www.best-deal-items.com/2098', 'www.best-deal-items.com/2132', 'www.best-deal-items.com/2133', 'www.best-deal-items.com/2138', 'www.best-deal-items.com/2139', 'www.best-deal-items.com/2151', 'www.best-deal-items.com/2170', 'www.best-deal-items.com/2190', 'www.best-deal-items.com/2199', 'www.best-deal-items.com/2213', 'www.best-deal-items.com/2220', 'www.best-deal-items.com/224', 'www.best-deal-items.com/2260', 'www.best-deal-items.com/2271', 'www.best-deal-items.com/2290', 'www.best-deal-items.com/2294', 'www.best-deal-items.com/2304', 'www.best-deal-items.com/231', 'www.best-deal-items.com/2325', 'www.best-deal-items.com/2340', 'www.best-deal-items.com/2344', 'www.best-deal-items.com/2348', 'www.best-deal-items.com/2364', 'www.best-deal-items.com/2413', 'www.best-deal-items.com/2423', 'www.best-deal-items.com/2424', 'www.best-deal-items.com/2441', 'www.best-deal-items.com/2459', 'www.best-deal-items.com/2469', 'www.best-deal-items.com/2471', 'www.best-deal-items.com/2504', 'www.best-deal-items.com/2509', 'www.best-deal-items.com/2530', 'www.best-deal-items.com/2534', 'www.best-deal-items.com/2570', 'www.best-deal-items.com/2577', 'www.best-deal-items.com/2578', 'www.best-deal-items.com/2607', 'www.best-deal-items.com/2614', 'www.best-deal-items.com/2616', 'www.best-deal-items.com/2661', 'www.best-deal-items.com/2662', 'www.best-deal-items.com/2669', 'www.best-deal-items.com/267', 'www.best-deal-items.com/2674', 'www.best-deal-items.com/2685', 'www.best-deal-items.com/2690', 'www.best-deal-items.com/2700', 'www.best-deal-items.com/2718', 'www.best-deal-items.com/274', 'www.best-deal-items.com/2768', 'www.best-deal-items.com/2776', 'www.best-deal-items.com/286', 'www.best-deal-items.com/293', 'www.best-deal-items.com/305', 'www.best-deal-items.com/385', 'www.best-deal-items.com/386', 'www.best-deal-items.com/396', 'www.best-deal-items.com/412', 'www.best-deal-items.com/424', 'www.best-deal-items.com/429', 'www.best-deal-items.com/520', 'www.best-deal-items.com/536', 'www.best-deal-items.com/546', 'www.best-deal-items.com/562', 'www.best-deal-items.com/580', 'www.best-deal-items.com/59', 'www.best-deal-items.com/592', 'www.best-deal-items.com/624', 'www.best-deal-items.com/634', 'www.best-deal-items.com/644', 'www.best-deal-items.com/666', 'www.best-deal-items.com/668', 'www.best-deal-items.com/69', 'www.best-deal-items.com/691', 'www.best-deal-items.com/701', 'www.best-deal-items.com/728', 'www.best-deal-items.com/729', 'www.best-deal-items.com/753', 'www.best-deal-items.com/761', 'www.best-deal-items.com/772', 'www.best-deal-items.com/787', 'www.best-deal-items.com/795', 'www.best-deal-items.com/811', 'www.best-deal-items.com/821', 'www.best-deal-items.com/822', 'www.best-deal-items.com/843', 'www.best-deal-items.com/854', 'www.best-deal-items.com/858', 'www.best-deal-items.com/870', 'www.best-deal-items.com/871', 'www.best-deal-items.com/874', 'www.best-deal-items.com/882', 'www.best-deal-items.com/891', 'www.best-deal-items.com/899', 'www.best-deal-items.com/906', 'www.best-deal-items.com/912', 'www.best-deal-items.com/917', 'www.best-deal-items.com/918', 'www.best-deal-items.com/948', 'www.best-deal-items.com/950', 'www.best-deal-items.com/978', 'www.best-deal-items.com/998', 'www.cleverboxes.com/206', 'www.cleverboxes.com/224', 'www.cleverboxes.com/291', 'www.cleverboxes.com/365', 'www.cleverboxes.com/368', 'www.cleverboxes.com/402', 'www.cleverboxes.com/481', 'www.cleverboxes.com/494', 'www.cleverboxes.com/63', 'www.cleverboxes.com/76', 'www.ebay.com/11016', 'www.ebay.com/11081', 'www.ebay.com/11203', 'www.ebay.com/11358', 'www.ebay.com/11443', 'www.ebay.com/11607', 'www.ebay.com/11794', 'www.ebay.com/11964', 'www.ebay.com/12114', 'www.ebay.com/14346', 'www.ebay.com/14551', 'www.ebay.com/14637', 'www.ebay.com/14697', 'www.ebay.com/15377', 'www.ebay.com/15481', 'www.ebay.com/15615', 'www.ebay.com/15648', 'www.ebay.com/16929', 'www.ebay.com/17016', 'www.ebay.com/17040', 'www.ebay.com/18090', 'www.ebay.com/18222', 'www.ebay.com/18303', 'www.ebay.com/18351', 'www.ebay.com/18797', 'www.ebay.com/18833', 'www.ebay.com/19014', 'www.ebay.com/19015', 'www.ebay.com/19097', 'www.ebay.com/19450', 'www.ebay.com/19527', 'www.ebay.com/19944', 'www.ebay.com/19961', 'www.ebay.com/20097', 'www.ebay.com/20159', 'www.ebay.com/20232', 'www.ebay.com/20416', 'www.ebay.com/20454', 'www.ebay.com/20565', 'www.ebay.com/20616', 'www.ebay.com/20686', 'www.ebay.com/20687', 'www.ebay.com/20767', 'www.ebay.com/21071', 'www.ebay.com/21078', 'www.ebay.com/21117', 'www.ebay.com/21298', 'www.ebay.com/21621', 'www.ebay.com/21634', 'www.ebay.com/21637', 'www.ebay.com/21666', 'www.ebay.com/21750', 'www.ebay.com/21893', 'www.ebay.com/21917', 'www.ebay.com/22297', 'www.ebay.com/22677', 'www.ebay.com/22811', 'www.ebay.com/22895', 'www.ebay.com/23034', 'www.ebay.com/23153', 'www.ebay.com/23179', 'www.ebay.com/23182', 'www.ebay.com/23300', 'www.ebay.com/23489', 'www.ebay.com/23684', 'www.ebay.com/9352', 'www.ebay.com/9914', 'www.getprice.com.au/148', 'www.getprice.com.au/195', 'www.getprice.com.au/226', 'www.getprice.com.au/237', 'www.getprice.com.au/239', 'www.getprice.com.au/286', 'www.getprice.com.au/298', 'www.getprice.com.au/304', 'www.getprice.com.au/306', 'www.getprice.com.au/332', 'www.getprice.com.au/336', 'www.getprice.com.au/347', 'www.getprice.com.au/376', 'www.hardware-planet.it/110', 'www.hardware-planet.it/111', 'www.hardware-planet.it/245', 'www.hardware-planet.it/5', 'www.hardware-planet.it/7', 'www.jrlinton.co.uk/1049', 'www.jrlinton.co.uk/1727', 'www.jrlinton.co.uk/464', 'www.jrlinton.co.uk/472', 'www.jrlinton.co.uk/632', 'www.jrlinton.co.uk/778', 'www.jrlinton.co.uk/817', 'www.jrlinton.co.uk/828', 'www.jrlinton.co.uk/836', 'www.jrlinton.co.uk/846', 'www.jrlinton.co.uk/860', 'www.jrlinton.co.uk/862', 'www.jrlinton.co.uk/888', 'www.jrlinton.co.uk/966', 'www.kingsfieldcomputers.co.uk/149', 'www.kingsfieldcomputers.co.uk/197', 'www.kingsfieldcomputers.co.uk/277', 'www.kingsfieldcomputers.co.uk/328', 'www.kingsfieldcomputers.co.uk/652', 'www.kingsfieldcomputers.co.uk/98', 'www.mediashopuk.com/0', 'www.mediashopuk.com/101', 'www.mediashopuk.com/104', 'www.mediashopuk.com/108', 'www.mediashopuk.com/112', 'www.mediashopuk.com/123', 'www.mediashopuk.com/13', 'www.mediashopuk.com/133', 'www.mediashopuk.com/17', 'www.mediashopuk.com/175', 'www.mediashopuk.com/19', 'www.mediashopuk.com/29', 'www.mediashopuk.com/3', 'www.mediashopuk.com/33', 'www.mediashopuk.com/37', 'www.mediashopuk.com/42', 'www.mediashopuk.com/45', 'www.mediashopuk.com/5', 'www.mediashopuk.com/52', 'www.mediashopuk.com/58', 'www.mediashopuk.com/86', 'www.mediashopuk.com/9', 'www.mrhightech.com/102', 'www.mrhightech.com/117', 'www.mrhightech.com/122', 'www.mrhightech.com/166', 'www.mrhightech.com/167', 'www.mrhightech.com/175', 'www.mrhightech.com/25', 'www.mrhightech.com/27', 'www.mrhightech.com/29', 'www.mrhightech.com/30', 'www.mrhightech.com/39', 'www.mrhightech.com/4', 'www.mrhightech.com/41', 'www.mrhightech.com/45', 'www.mrhightech.com/46', 'www.mrhightech.com/51', 'www.mrhightech.com/53', 'www.mrhightech.com/57', 'www.mrhightech.com/58', 'www.mrhightech.com/72', 'www.mrhightech.com/87', 'www.mrhightech.com/88', 'www.odsi.co.uk/108', 'www.odsi.co.uk/137', 'www.odsi.co.uk/140', 'www.odsi.co.uk/30', 'www.odsi.co.uk/32', 'www.odsi.co.uk/40', 'www.odsi.co.uk/49', 'www.odsi.co.uk/63', 'www.ohc24.ch/261', 'www.ohc24.ch/265', 'www.ohc24.ch/344', 'www.ohc24.ch/444', 'www.ohc24.ch/481', 'www.ohc24.ch/513', 'www.ohc24.ch/782', 'www.ohc24.ch/798', 'www.ohc24.ch/817', 'www.ohc24.ch/821', 'www.softwarecity.ca/1598', 'www.xpcpro.com/14', 'www.xpcpro.com/17', 'www.xpcpro.com/187', 'www.xpcpro.com/2', 'www.xpcpro.com/205', 'www.xpcpro.com/30', 'www.xpcpro.com/38', 'www.xpcpro.com/6', 'www.xpcpro.com/64', 'www.xpcpro.com/7', 'www.xpcpro.com/77', 'www.xpcpro.com/81', 'www.xpcpro.com/92']
will_keep_brands2=['unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'yiynova', 'yiynova', 'lucoms', 'unbranded/generic', 'unbranded/generic', 'neovo', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'ag neovo', 'unbranded/generic', 'no_comp', 'sensormatic', 'unbranded/generic', 'no_comp', 'eurosys', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'belinea', 'unbranded/generic', 'unbranded/generic', 'silicon graphics', 'yusmart', 'unbranded/generic', 'emprex', 'videoseven', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'belinea', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/Generic', 'iiyama', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generuc', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'matrox', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'lyntek', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'funtica', 'unbranded/generic', 'unbranded/generic', 'bosch', 'unbranded/generic', 'silicon graphics', 'vibrant', 'skyport', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'viglen', 'belinea', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'alpha touch', 'unbranded/generic', 'medion', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'apple', 'unbranded/generic', 'digimate', 'unbranded/generic', 'jetway', 'unbranded/generic', 'unbranded/generic', 'aview', 'unbranded/generic', 'quanta', 'unbranded/generic', 'brilliance', 'lyntek', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'tenvis', 'sharp', 'advent', 'advent', 'unbranded/generic', 'hp', 'unbranded/generic', 'envision', 'unbranded/generic', 'megavision', 'unbranded/generic', 'unbranded/generic', 'bmw', 'unbranded/generic', 'belinea', 'nec', 'ikegami', 'unbranded/generic', 'vusys', 'unbranded/generic', 'unbranded/generic', 'harsper', 'unbranded/generic', 'unbranded/generic', 'angel', 'unbranded/generic', 'unbranded/generic', 'rackmux', 'unbranded/generic', 'unbranded/generic', 'envision', 'unbranded/generic', 'neova', 'yusmart', 'digimate', 'skyport', 'no_comp', 'unbranded/generic', 'belinea', 'unbranded/generic', 'belinea', 'austin hughes', 'belinea', 'unbranded/generic', 'digimate', 'hyvision', 'unbranded/generic', 'no_comp', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'iiyama', 'lucoms', 'no_comp', 'advent', 'unbranded/generic', 'tresor', 'unbranded/generic', 'unbranded/generic', 'iiyama', 'belinea', 'advent', 'sharp', 'unbranded/generic', 'viewsonic', 'medion', 'unbranded/generic', 'chunghwa', 'chatsworth', 'unbranded/generic', 'unbranded/generic', 'sharp', 'hannspree', 'hannspree', 'hannspree', 'hannspree', 'hannspree', 'hannspree', 'eaton', 'wasp', 'sharp', 'silicon graphics', 'sharp', 'envision', 'sunbrite', 'unbranded/generic', 'unbranded/generic', 'sharp', 'unbranded/generic', 'unbranded/generic', 'envision', 'envision', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'sharp', 'unbranded/generic', 'unbranded/generic', 'hitachi', 'sharp', 'hp', 'envision', 'unbranded/generic', 'hp', 'unbranded/generic', 'unbranded/generic', 'envision', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'envision', 'westinghouse', 'unbranded/generic', 'samsung', 'unbranded/generic', 'sharp', 'unbranded/generic', 'sharp', 'unbranded/generic', 'elite', 'unbranded/generic', 'zentview', 'unbranded/generic', 'unbranded/generic', 'sharp', 'envision', 'apple', 'knotron', 'unbranded/generic', 'unbranded/generic', 'sharp', 'bestech', 'unbranded/generic', 'unbranded/generic', 'gateway', 'hitachi', 'preh', 'crystalpro', 'balance', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'unbranded/generic', 'syncmaster', 'sva', 'unbranded/generic', 'starlogic', 'kogan', 'sunbrite', 'eizi', 'partnertech', 'puriton', 'kogan', 'sunbrite', 'sunbrite', 'sunbrite', 'sunbrite', 'sunbrite', 'sunbrite', 'sunbrite', 'hannspree', 'hannspree', 'hannspree', 'hannspree', 'hannspree', 'sharp', 'tv one', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'tv one', 'sharp', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'wortmann', 'sharp', 'nec', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'sharp', 'star micronics', 'neovo', 'roline', 'rotronic', 'rotronic', 'roline', 'roline', 'star micronics', 'intellinet', 'roline', 'sharp', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo', 'neovo']
for i in range(0,len(will_keep2)):
brand_dict[will_keep2[i]]=will_keep_brands2[i]
items=list(brand_dict.keys())
for item in items:
if brand_dict[item]=="to_delete":
del brand_dict[item]
elif brand_dict[item]=="unbranded_generuc":
brand_dict[item]="unbranded/generic"
elif brand_dict[item]=="unbranded/generuc":
brand_dict[item]="unbranded/generic"
elif brand_dict[item]=="unbranded/Generic":
brand_dict[item]="unbranded/generic"
elif brand_dict[item]=="envision monitors":
brand_dict[item]="envision"
elif "elif" in brand_dict[item]:
brand_dict[item]="unbranded/generic"
for item in brand_dict.keys():
f = open("2013_monitor_specs/"+item+".json")
data = json.load(f)
if brand_dict[item]=="unbranded/generic":
if "condition" in data and "\nBrand:" in data["condition"]:
cand_brand=data["condition"].split("\nBrand:")[1].split("\n")[1].lower()
if cand_brand=="hanns.g":
cand_brand="hannspree"
brand_dict[item]=cand_brand
brand_dict["www.best-deal-items.com/2206"]="chassis plans"
brand_dict["catalog.com/323"]="sharp"
brand_dict["catalog.com/397"]="sharp"
brand_dict["www.best-deal-items.com/1166"]="boscam"
brand_dict["www.best-deal-items.com/1626"]="sharp"
brand_dict["www.best-deal-items.com/1953"]="alpha touch"
brand_dict["ce.yikus.com/264"]="envision"
brand_dict["www.best-deal-items.com/854"]="acer"
brand_dict["www.ebay.com/22569"]="first"
brand_dict["www.ebay.com/12114"]="sharp"
brand_dict["www.best-deal-items.com/1115"]="xo vision"
brand_dict["www.best-deal-items.com/1656"]="faytech"
brand_dict["www.best-deal-items.com/906"]="videoseven"
brand_dict["www.best-deal-items.com/1481"]="rackmux"
brand_dict["www.best-deal-items.com/2213"]="videoseven"
brand_dict["www.best-deal-items.com/2170"]="alpha touch"
brand_dict["www.best-deal-items.com/2340"]="videoseven"
brand_dict["www.best-deal-items.com/624"]="videoseven"
brand_dict["www.best-deal-items.com/2260"]="totevision"
brand_dict["www.ebay.com/20565"]="auo"
brand_dict["www.ebay.com/21893"]="pge"
brand_dict["www.best-deal-items.com/1163"]="auo"
brand_dict["www.ebay.com/14697"]="ag neovo"
brand_dict["www.best-deal-items.com/396"]="edge10"
brand_dict["www.best-deal-items.com/2151"]="nec"
brand_dict["www.best-deal-items.com/787"]="tatung"
brand_dict["www.best-deal-items.com/2669"]="primera"
brand_dict["www.best-deal-items.com/1679"]="polycom"
brand_dict["www.best-deal-items.com/1443"]="yuraku"
brand_dict["www.best-deal-items.com/2776"]="cibox"
brand_dict["www.best-deal-items.com/918"]="dell"
brand_dict["www.best-deal-items.com/305"]="aoc"
brand_dict["www.best-deal-items.com/998"]="benq"
brand_dict["www.best-deal-items.com/1630"]="sun microsystems"
brand_dict["www.best-deal-items.com/1319"]="digimate"
brand_dict["www.best-deal-items.com/1096"]="unbranded/generic"
items=list(brand_dict.keys())
for item in items:
if brand_dict[item]=="no_comp":
del brand_dict[item]
elif brand_dict[item]=="N.A":
del brand_dict[item]
del brand_dict["www.best-deal-items.com/1821"]
del brand_dict["www.ebay.com/23179"]
del brand_dict["www.best-deal-items.com/1715"]
del brand_dict["www.ebay.com/20767"]
del brand_dict["www.best-deal-items.com/1064"]
#del brand_dict["www.best-deal-items.com/959"]
del brand_dict["www.best-deal-items.com/2600"]
#del brand_dict["www.best-deal-items.com/197"]
#del brand_dict["www.best-deal-items.com/2704"]
#del brand_dict["www.pcconnection.com/1685"]
#del brand_dict["www.pcconnection.com/1579"]
#del brand_dict["www.pcconnection.com/2676"]
del brand_dict["www.pcconnection.com/1030"]
#del brand_dict["www.pcconnection.com/2170"]
del brand_dict["www.pcconnection.com/2053"]
#del brand_dict["www.pcconnection.com/1171"]
#del brand_dict["www.pcconnection.com/1864"]
#del brand_dict["www.pcconnection.com/2992"]
#del brand_dict["www.pcconnection.com/2948"]
#del brand_dict["www.pcconnection.com/1114"]
#del brand_dict["www.pcconnection.com/3739"]
del brand_dict["www.pcconnection.com/1656"]
#del brand_dict["www.pcconnection.com/1251"]
#del brand_dict["www.pcconnection.com/1389"]
del brand_dict["www.best-deal-items.com/269"]
del brand_dict["www.best-deal-items.com/1692"]
del brand_dict["www.best-deal-items.com/175"]
del brand_dict["www.best-deal-items.com/1546"]
#del brand_dict["www.best-deal-items.com/103"]
del brand_dict["www.ebay.com/21507"]
del brand_dict["www.ebay.com/21785"]
#del brand_dict["www.pcconnection.com/2723"]
#del brand_dict["www.pcconnection.com/3341"]
del brand_dict["www.pcconnection.com/3750"]
#del brand_dict["www.pcconnection.com/2480"]
#del brand_dict["www.pcconnection.com/2083"]
#del brand_dict["www.best-deal-items.com/646"]
#del brand_dict["www.ebay.com/19543"]
del brand_dict["www.best-deal-items.com/943"]
del brand_dict["www.best-deal-items.com/2049"]
del brand_dict["www.best-deal-items.com/1560"]
del brand_dict["www.best-deal-items.com/2588"]
#del brand_dict["www.best-deal-items.com/935"]
del brand_dict["www.best-deal-items.com/988"]
del brand_dict["www.best-deal-items.com/1931"]
del brand_dict["www.best-deal-items.com/1376"]
del brand_dict["www.best-deal-items.com/725"]
del brand_dict["www.best-deal-items.com/461"]
del brand_dict["www.best-deal-items.com/1834"]
del brand_dict["www.best-deal-items.com/2127"]
del brand_dict["www.best-deal-items.com/2680"]
del brand_dict["www.best-deal-items.com/320"]
#del brand_dict["www.best-deal-items.com/2627"]
del brand_dict["www.best-deal-items.com/1550"]
del brand_dict["www.best-deal-items.com/335"]
del brand_dict["www.best-deal-items.com/627"]
del brand_dict["www.best-deal-items.com/2100"]
del brand_dict["www.best-deal-items.com/606"]
del brand_dict["www.best-deal-items.com/2119"]
del brand_dict["www.best-deal-items.com/2576"]
#del brand_dict["www.best-deal-items.com/1004"]
#del brand_dict["www.best-deal-items.com/1845"]
del brand_dict["www.best-deal-items.com/1846"]
#del brand_dict["www.best-deal-items.com/1108"]
del brand_dict["www.best-deal-items.com/2026"]
del brand_dict["www.best-deal-items.com/2484"]
#del brand_dict["www.best-deal-items.com/54"]
del brand_dict["www.best-deal-items.com/1142"]
del brand_dict["www.best-deal-items.com/287"]
del brand_dict["www.best-deal-items.com/895"]
del brand_dict["www.best-deal-items.com/302"]
del brand_dict["www.best-deal-items.com/1814"]
del brand_dict["www.best-deal-items.com/884"]
del brand_dict["www.best-deal-items.com/2273"]
del brand_dict["www.best-deal-items.com/1687"]
del brand_dict["www.best-deal-items.com/2682"]
del brand_dict["www.best-deal-items.com/2"]
del brand_dict["www.best-deal-items.com/2303"]
del brand_dict["www.best-deal-items.com/486"]
del brand_dict["www.best-deal-items.com/2476"]
#del brand_dict["www.best-deal-items.com/669"]
del brand_dict["www.best-deal-items.com/2031"]
del brand_dict["www.best-deal-items.com/1164"]
del brand_dict["www.best-deal-items.com/366"]
del brand_dict["www.best-deal-items.com/2714"]
del brand_dict["www.best-deal-items.com/361"]
del brand_dict["www.best-deal-items.com/394"]
del brand_dict["www.best-deal-items.com/1861"]
del brand_dict["www.best-deal-items.com/793"]
del brand_dict["www.best-deal-items.com/2470"]
del brand_dict["www.best-deal-items.com/1410"]
del brand_dict["www.best-deal-items.com/1390"]
del brand_dict["www.best-deal-items.com/2268"]
del brand_dict["www.best-deal-items.com/2105"]
del brand_dict["www.ebay.com/23432"]
del brand_dict["www.ebay.com/21663"]
del brand_dict["www.ebay.com/9914"]
del brand_dict["www.ebay.com/14382"]
#del brand_dict["www.ebay.com/18030"]
del brand_dict["www.ebay.com/21210"]
del brand_dict["www.ebay.com/21909"]
del brand_dict["www.ebay.com/22939"]
del brand_dict["www.ebay.com/12174"]
del brand_dict["www.ebay.com/11510"]
#del brand_dict["www.best-deal-items.com/331"]
del brand_dict["www.makingbuyingeasy.co.uk/419"]
count=0
for item in sorted(list(brand_dict.keys())):
item_to_id[item]=count
count+=1
with open('brand_dict.pkl', 'wb') as handle:
pickle.dump(brand_dict, handle, protocol=pickle.HIGHEST_PROTOCOL)
with open('item_to_id.pkl', 'wb') as handle:
pickle.dump(item_to_id, handle, protocol=pickle.HIGHEST_PROTOCOL)
brands=set()
for i in brand_dict:
brands.add(brand_dict[i])
#print("Our brands...")
#for i in sorted(list(brands)):
# print(i)
for item in quick_fix.keys():
if not type(quick_fix[item]) is list:
quick_fix[item]=[quick_fix[item]]
a=["thinkvision", "accusync","accutouch","acer", "thinkpad","syncmaster","prodisplay","pavilion","promaster","apple","flatron","dell","compaq", "acer", "aoc", "playstation","latitude","hp","asus","acerview", "asuspro", "benq","envy", "multisync", "radiforce","precision", "sparta", "brilliance", "cintiq", "deluxepro","dreamcolor","value","entuitive","foris","elitebook","intellitouch","mdcg","kingtee","prolite","smartbuy","sympodium","trutouch","viewsonic"]
del quick_fix["hanns g"]
del quick_fix["allen bradley"]
final_brand_dict = {**quick_fix, **brand_dict2}
final_brand_dict["envision monitors"]=["envision", "envision monitors"]
final_brand_dict["rockwell"]=["rockwell", "allen bradley", "allen-bradley"]
final_brand_dict["lyntek"]=["lynteck", "lyntek"]
fixes=set()
"""
Step 3: Model cleaning
"""
print("Phase 3: In this step we determine the models. This part follows four steps, with some cleaning involved. The first step consists of rules to extract candidate models strings from attributes. Then a voting process, where the most frequent already extracted models from the first step are used to guide the identification of models on page titles. The third steps applies rules for detecting models from the items, with a focus on page titles. The last step returns to the voting scheme to further extract model strings. (This should not take more than a minute or two.)")
data_keys=set()
unknown_count=0
problems=set()
model_dict=dict()
from_voting=set()
print("First part: Basic rule-based model extraction from explicit attributes")
#The first part of our solution for model assignation, also follows rules, to extract from candidate attributes (model, product_model, ...) only.
bdd=copy.deepcopy(brand_dict)
brand_to_models=dict()
for item in sorted(list(bdd.keys())):
f = open("2013_monitor_specs/"+item+".json")
data = json.load(f)
search_for="nothing"
if not bdd[item] in final_brand_dict:
final_brand_dict[bdd[item]]=[bdd[item]]
bd2=[x.lower() for x in final_brand_dict[bdd[item]]]
bd2.append(bdd[item].lower())
bd2=list(set(bd2))
if "model" in data and data["model"][0:2]==": ":
data["model"]=data["model"][2:]
if "model" in data and data["model"].count("-")>1:
data["model"]=data["model"].replace("-"," ")
if "condition" in data and "\nModel:" in data["condition"]:
cand_model=data["condition"].split("\nModel:")[1].split("\n")[1].lower()
if not bdd[item] in brand_to_models:
brand_to_models[bdd[item]]=set()
brand_to_models[bdd[item]].add(cand_model)
model_dict[item]=cand_model
elif "model" in data and (str(data["model"]).lower() in str(data["<page title>"]).lower() or not " " in str(data["model"]).lower()):
search_for="model"
elif "product model" in data and (str(data["product model"]).lower() in str(data["<page title>"]).lower() or not " " in str(data["product model"]).lower()):
search_for="product model"
elif "product name" in data and (str(data["product name"]).lower() in str(data["<page title>"]).lower() or not " " in str(data["product name"]).lower()):
search_for="product name"
elif "mpn" in data and str(data["mpn"]).lower() in str(data["<page title>"]).lower():
search_for="mpn"
elif "mfr part number" in data and str(data["mfr part number"]).lower() in str(data["<page title>"]).lower():
search_for="mfr part number"
elif "model name" in data and (str(data["model name"]).lower() in str(data["<page title>"]).lower() or not " " in str(data["model name"]).lower()):
search_for="model name"
elif "series" in data and str(data["series"]).lower() in str(data["<page title>"]).lower():
search_for="series"
elif "model number" in data and str(data["model number"]).lower() in str(data["<page title>"]).lower():
search_for="model number"
elif "â model number" in data and str(data["â model number"]).lower() in str(data["<page title>"]).lower():
search_for="â model number"
elif "specifications" in data and str(data["specifications"]).lower() in str(data["<page title>"]).lower():
search_for="specifications"
elif "specs" in data and str(data["specs"]).lower() in str(data["<page title>"]).lower():
search_for="specs"
if search_for!="nothing":
cand_model=str(data[search_for]).lower().replace("\n","").replace(":","").replace("'","").replace("\"","").strip()
if (not " " in cand_model) and (cand_model not in bd2) and any(i.isdigit() for i in cand_model) and (cand_model not in a):
for word in bd2:
cand_model=cand_model.replace(word,"")
cand_model=cand_model.replace("\n","").strip()
if all(i.isdigit() for i in cand_model):
if int(cand_model)<30:
model_dict[item]="unknown"
elif len(cand_model)>0 and cand_model not in stopwords and not(len(cand_model.split("."))=="2" and all(i.isdigit() for i in cand_model.replace(".",""))) and not all(i.isdigit() for i in cand_model):
if not bdd[item] in brand_to_models:
brand_to_models[bdd[item]]=set()
brand_to_models[bdd[item]].add(cand_model)
model_dict[item]=cand_model
elif len(cand_model)>0 and cand_model not in stopwords and not(len(cand_model.split("."))=="2" and all(i.isdigit() for i in cand_model.replace(".",""))) and not all(i.isdigit() for i in cand_model):
model_dict[item]=cand_model
if not bdd[item] in brand_to_models:
brand_to_models[bdd[item]]=set()
brand_to_models[bdd[item]].add(cand_model)