def rm_addresses(doc):
doc_l = []
rm_st = []
sens = doc.split("\n")
for sent in sens:
sent_l = []
usaddress.parse(sent)
for tuple2 in usaddress.parse(sent):
# print(tuple2)
if tuple2[1] == 'BuildingName' or tuple2[
1] == 'Recipient' or tuple2[1] == 'OccupancyType' or tuple2[
1] == 'OccupancyIdentifier' or tuple2[
1] == 'LandmarkName':
sent_l.append(tuple2[0])
else:
sent_l.append("█" * len(tuple2[0]))
rm_st.append(tuple2[0])
# print(sent_l)
deto = MosesDetokenizer()
sent_n = deto.detokenize(sent_l, return_str=True)
# sent_n = " ".join(sent_l)
doc_l.append(sent_n)
# print(doc_l)
doc = "\n".join(doc_l)
#print(doc)
return doc, rm_st
def parse_page(self, response):
print("========= Checking.......")
store_list = response.xpath('//div[@id="tabs-3"]/div')
try:
item = ChainItem()
store = response.xpath('//div[@id="tabs-3"]')
address_temp = self.eliminate_space(store.xpath('./text()').extract())
address = ''
for temp in address_temp:
if '(' not in temp:
address += temp + ', '
else:
item['phone_number'] = temp
break
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
if item['phone_number'] != '':
yield item
except:
pass
for store in store_list:
try:
item = ChainItem()
item['store_name'] = self.validate(store.xpath('.//strong/text()').extract_first())
address_temp = self.eliminate_space(store.xpath('./text()').extract())
address = ''
for temp in address_temp:
address += temp + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.validate(store.xpath('.//div[@class="phoneNumberBox"]/text()').extract_first())
if item['store_name'] != '':
yield item
except:
pdb.set_trace()
def body(self, response):
print("========= Checking.......")
store_list = response.xpath('//div[@class="storelist-inner-tab"]')
for store in store_list:
try:
item = ChainItem()
item['store_name'] = self.validate(store.xpath('.//h4/text()').extract_first())
detail = self.eliminate_space(store.xpath('.//p//text()').extract())
address = ''
for de in detail:
if 'phone' in de.lower():
item['phone_number'] = de.split(':')[1].strip()
break
address += de + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address[:-2])
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
h_temp = ''
hour_list = self.eliminate_space(store.xpath('.//div[@id="StoreServicesContainer"]//span//text()').extract())
for hour in hour_list:
h_temp += hour + ', '
item['store_hours'] = h_temp[:-2]
yield item
except:
pass
def geo_parser(location, gmaps_json):
# parse json response
try:
results = gmaps_json["results"][0]
std_name = results['name']
print(std_name)
lat = results['geometry']['location']['lat']
lng = results['geometry']['location']['lng']
std_address = results['formatted_address']
# parse address
try:
parsed_address = usaddress.tag(std_address)
city = parsed_address[0]['PlaceName']
state = parsed_address[0]['StateName']
except:
parsed_address = usaddress.parse(std_address)
# traverse parsed address list if the tagger fails
city = ''
state = ''
for addr_tup in parsed_address:
print(addr_tup)
if addr_tup[1] == 'PlaceName':
city += ' ' + addr_tup[0]
if addr_tup[1] == 'StateName':
state += ' ' + addr_tup[0]
city = city.strip()
print(city)
df = pd.DataFrame([[location, std_name, lat, lng, city, state]], columns=['Raw_Name', 'Name', 'Latitude', 'Longitude', 'City', 'State'])
return df
except IndexError:
print(gmaps_json)
df = pd.DataFrame()
return
def parse_page(self, response):
detail = response.xpath('//div[contains(@class, "location-content")]')
item = ChainItem()
item['store_name'] = self.validate(detail.xpath('.//h3[@class="white"]/text()'))
address = self.validate(detail.xpath('.//pre[@class="white"]/text()')).replace('.', ' ')
addr = usaddress.parse(address)
item['address'] = ''
item['city'] = ''
for temp in addr:
if temp[1] == 'AddressNumber':
item['address'] += temp[0] + ' '
elif temp[1] == 'StreetName':
item['address'] += temp[0] + ' '
elif temp[1] == 'StreetNamePostType':
item['address'] += temp[0] + ' '
elif temp[1] == 'OccupancyType':
item['address'] += temp[0] + ' '
elif temp[1] == 'OccupancyIdentifier':
item['address'] += temp[0] + ' '
elif temp[1] == 'PlaceName':
item['city'] += temp[0] + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0]
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0]
item['country'] = 'United States'
item['phone_number'] = self.validate(detail.xpath('.//p[@class="white"]/text()'))
item['store_hours'] = self.validate(detail.xpath('.//div[contains(@class, "hours")]//pre/text()'))
yield item
def body(self, response):
store_list = response.xpath('//div[contains(@class,"store-info")]')
for store in store_list:
store_url = store.xpath('.//a/@href').extract_first()
if store_url:
yield scrapy.Request(url=store_url, callback=self.parse_page)
else :
item = ChainItem()
item['store_name'] = self.validate(store.xpath('.//div[@class="box"]//h3//text()'))
address = self.validate(store.xpath('.//div[@class="box"]//p/text()'))
addr = usaddress.parse(address)
item['address'] = ''
item['city'] = ''
for temp in addr:
if temp[1] == 'AddressNumber':
item['address'] += temp[0] + ' '
elif temp[1] == 'StreetName':
item['address'] += temp[0] + ' '
elif temp[1] == 'StreetNamePostType':
item['address'] += temp[0] + ' '
elif temp[1] == 'OccupancyType':
item['address'] += temp[0] + ' '
elif temp[1] == 'OccupancyIdentifier':
item['address'] += temp[0] + ' '
elif temp[1] == 'PlaceName':
item['city'] += temp[0] + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0]
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0]
item['country'] = 'United States'
if item['city'] == '' :
item['address'] = self.validate(store.xpath('.//div[@class="box"]//p/text()'))
item['country'] = ''
yield item
def getAddress(self, text):
""" parse text for address
Parameters:
text (str): text to parse
Returns: address string
"""
doc = self.nlp(text)
# for some reason zipcode 60601 is not an entity, so we can't filter by entity type
#print([(ent.text, ent.label_) for ent in doc.ents])
#str = ['CARDINAL', 'LOC', 'GPE', 'FAC']
#addrlist = [ent.text for ent in doc.ents if ent.label_ in str]
#addr = " ".join(addrlist)
#parsed = usaddress.parse(addr)
parsed = usaddress.parse(text)
parsed = [x for x in parsed
if x[1] != 'Recipient'] # filter out recipient
addr = ''
for x in parsed:
val = x[0]
typ = x[1]
addr += val + ' '
#print(val,'-> ', typ)
if len(addr) > 0:
addr = addr.replace('.', '').strip()
return addr
def body(self, response):
store_list = response.xpath('//div[contains(@class, "altrow")]')
for store in store_list:
item = ChainItem()
detail = self.eliminate_space(store.xpath('.//text()').extract())
item['store_name'] = self.validate(detail[0])
address = ''
item['phone_number'] = ''
for de in detail:
if 'phone' in de:
item['phone_number'] = self.validate(de.split(':')[1])
break
else:
address += de + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
if item['address'] + item['phone_number'] not in self.history:
self.history.append(item['address'] + item['phone_number'])
yield item
def parse_page(self, response):
try:
item = ChainItem()
detail = self.eliminate_space(
response.xpath(
'//div[@class="location-overlay"]//text()').extract())
address = ''
item['phone_number'] = ''
for de in detail:
if ':' not in de and '-' in de:
item['phone_number'] = de
break
address += de + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address[:-2])
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
h_temp = ''
for de in detail:
if ':' in de:
h_temp += de + ', '
item['store_hours'] = h_temp[:-2]
yield item
except:
pdb.set_trace()
def body(self, response):
print("========= Checking.......")
store_list_one = response.xpath('//div[contains(@class, "plb")]')
store_list_two = response.xpath('//div[contains(@class, "plw")]')
store_list = store_list_one + store_list_two
for store in store_list:
url = self.domain[:-1] + store.xpath(
'.//b//a/@href').extract_first()
request = scrapy.Request(url=url, callback=self.parse_page)
detail = self.eliminate_space(store.xpath('./text()').extract())
request.meta['store_name'] = store.xpath(
'.//b//a/text()').extract_first()
address = detail[1] + detail[2]
request.meta['address'] = ''
request.meta['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
request.meta['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
request.meta['state'] = temp[0]
elif temp[1] == 'ZipCode':
request.meta['zip_code'] = temp[0].replace(',', '')
else:
request.meta['address'] += temp[0].replace(',', '') + ' '
yield request
pagenation = response.xpath('//div[contains(@class, "panelpn")]//a')
pagenation = pagenation[len(pagenation) -
1].xpath('./@href').extract_first()
if pagenation is not None:
pagenation = self.domain + pagenation
yield scrapy.Request(url=pagenation, callback=self.body)
def parse_page(self, response):
try:
detail = self.eliminate_space(response.xpath('//div[@id="contentLocator"]//text()').extract())
item = ChainItem()
item['store_name'] = 'Kinney Drugs'
address = detail[2] + ', ' + detail[3]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = detail[5]
item['store_hours'] = detail[7] + ', ' + detail[8] + ', '
item['store_hours'] += detail[9] + ' ' + detail[10] + ', ' + detail[11]
yield item
except:
pass
def body(self, response):
print("========= Checking.......")
store_list = response.xpath('//div[@class="indent1"]//table')
name_list = self.eliminate_space(response.xpath('//div[@class="indent1"]//h3//text()').extract())
for ind in range(0, len(store_list)):
try:
item = ChainItem()
detail = self.eliminate_space(store_list[ind].xpath('.//text()').extract())
item['store_name'] = name_list[ind]
address = detail[3]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = detail[1]
if item['address']+item['phone_number'] not in self.history:
self.history.append(item['address']+item['phone_number'])
yield item
except:
pass
def parse_store(self, response):
item = ChainItem()
try:
pdb.set_trace()
item['store_number'] = ''
item['store_name'] = response.xpath(
'.//h2/strong/text()').extract_first()
address = response.xpath(
".//div[@id='pageContent']/p[2]/text()").extract()
addr = usaddress.parse(address)
item['address'] = self.validate(store_info['address']['address1'])
item['address2'] = self.validate(store_info['address']['address2'])
item['city'] = self.validate(store_info['address']['city'])
item['state'] = self.validate(store_info['address']['state'])
item['zip_code'] = self.validate(store_info['address']['zip'])
item['country'] = 'United States'
item['phone_number'] = response.xpath(
'.//a[@class="bold mb2 db"]/text()').extract_first()
item['latitude'] = ''
item['longitude'] = ''
item['store_hours'] = ''
hours = response.xpath(
'.//div[@class="ph1 hours-wrap"]/div[@class="mb2"]/p')
for hour in hours:
item['store_hours'] += self.validate("".join(
hour.xpath('.//text()').extract())) + "; "
item['other_fields'] = ""
item['coming_soon'] = "0"
yield item
except:
pdb.set_trace()
def parse_page(self, response):
item = ChainItem()
item['store_name'] = self.validate(
response.xpath(
'//div[contains(@class, "location-data")]//h2/text()').
extract_first())
address_temp = self.eliminate_space(
response.xpath('//div[@class="address"]//p//text()').extract())
address = ''
for temp in address_temp:
address += temp + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0]
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.validate(
response.xpath(
'//span[@class="address-phone"]/text()').extract_first())
h_temp = ''
hour_list = self.eliminate_space(
response.xpath('//div[@class="hours"]//p//text()').extract())
for hour in hour_list:
if 'a.m.' in hour:
h_temp += hour + ' , '
item['store_hours'] = self.validate(h_temp[:-2])
yield item
def body(self, response):
print("========= Checking.......")
store_list = response.xpath('//table[@class="tr-caption-container"]')
for store in store_list:
try:
item = ChainItem()
detail = self.eliminate_space(
store.xpath(
'.//td[@class="tr-caption"]//text()').extract())
item['store_name'] = detail[0] + ' ' + detail[1]
address = ''
for de in detail[2:-1]:
address += de + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = detail[-1]
yield item
except:
pass
def preprocess(self, text):
#this case is included because usaddress doesn't do a great job if there isn't a number at parsing semantic information
#However if there is a number it tends to be better than streetaddress
#Therefore usaddress is better at figuring out where the start of an address is, in say a very long body of text with an address in there at some point
#It isn't that great at approximate locations
nouns = ['NN', 'NNP', 'NNPS', 'NNS']
if any([elem.isdigit() for elem in text.split(" ")]):
addr = usaddress.parse(text)
addr = [elem for elem in addr if elem[1] != 'Recipient']
addr_dict = {}
for value, key in addr:
if key in addr_dict.keys():
addr_dict[key] += " " + value
else:
addr_dict[key] = value
return addr_dict, "complete"
else:
possible_streets = []
for word, tag in tagger.tag(text.split()):
if tag == 'LOCATION':
possible_streets.append(word)
parts = nltk.pos_tag(nltk.word_tokenize(text))
for part in parts:
if any([part[1] == noun for noun in nouns]):
possible_streets.append(part[0])
return possible_streets, "cross streets"
def body(self, response):
print("========= Checking.......")
store_list = response.xpath('//li[@class="fusion-builder-row fusion-row"]')
for store in store_list:
try:
item = ChainItem()
item['store_name'] = self.validate(store.xpath('.//h4/text()').extract_first())
address = self.validate(store.xpath('.//address/text()').extract_first())
addr = usaddress.parse(address)
item['city'] = ''
item['address'] = ''
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0]
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0]
else :
item['address'] += temp[0] + ' '
item['country'] = 'United States'
item['phone_number'] = self.validate(store.xpath('.//a[2]/text()').extract_first())
yield item
except:
pass
def test_simple_addresses(self):
test_file = 'training/test_data/simple_address_patterns.xml'
for address_text, components in parseTrainingData(test_file) :
_, labels_true = zip(*components)
_, labels_pred = zip(*parse(address_text))
yield equals, address_text, labels_pred, labels_true
def body(self, response):
self.driver.get("https://www.racebros.com/contact")
source = self.driver.page_source.encode("utf8")
tree = etree.HTML(source)
store_list = tree.xpath(
'//div[@class="c2inlineContent"]//div[@class="txtNew"]')
h_temp = self.eliminate_space(store_list[5].xpath(
'.//text()'))[0].split('stores')[1].strip().replace('or', ',')
for store in store_list[1:4]:
try:
item = ChainItem()
detail = self.eliminate_space(store.xpath('.//text()'))
item['store_name'] = detail[0]
address = detail[1] + ',' + detail[2]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = detail[3]
item['store_hours'] = h_temp
yield item
except:
pass
def body(self, response):
store_list = response.xpath('//table//tr')
for store in store_list:
try:
item = ChainItem()
address_temp = self.eliminate_space(
store.xpath('.//td[2]//text()').extract())
item['store_name'] = address_temp[0]
address = address_temp[1] + ', ' + address_temp[2]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
p_temp = self.eliminate_space(
store.xpath('.//td[1]//text()').extract())
item['phone_number'] = p_temp[1]
if item['address'] + item['phone_number'] not in self.history:
self.history.append(item['address'] + item['phone_number'])
yield item
except:
pass
def parse_page(self, response):
try:
item = ChainItem()
item['store_name'] = self.validate(response.xpath('//div[@class="store-locations"]//h1/text()').extract_first()).split('#')[0].strip()
item['store_number'] = self.validate(response.xpath('//div[@class="store-locations"]//h1/text()').extract_first()).split('#')[1].strip()
address = self.validate(response.xpath('//div[@class="store-locations"]//div[@class="address"]//p/text()').extract_first())
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
detail = self.eliminate_space(response.xpath('//div[@class="store-locations"]//div[@class="store-info"]//text()').extract())
for ind in range(0, len(detail)):
if 'Phone' in detail[ind]:
item['phone_number'] = self.validate(detail[ind+1])
break
h_temp = ''
for ind in range(0, len(detail)):
if 'day' in detail[ind].lower():
h_temp += self.validate(detail[ind]) + ' ' + self.validate(detail[ind+1]) + ', '
ind += 2
item['store_hours'] = h_temp[:-2]
yield item
except:
pass
def getusaddress(addr):
address = usaddress.parse(addr)
m = 0
street = ""
city = ""
state = ""
pcode = ""
while m < len(address):
temp = address[m]
if temp[1].find("Address") != -1 or temp[1].find(
"Street"
) != -1 or temp[1].find('Occupancy') != -1 or temp[1].find(
"Recipient"
) != -1 or temp[1].find("BuildingName") != -1 or temp[1].find(
"USPSBoxType") != -1 or temp[1].find("USPSBoxID") != -1:
street = street + " " + temp[0]
if temp[1].find("PlaceName") != -1:
city = city + " " + temp[0]
if temp[1].find("StateName") != -1:
state = state + " " + temp[0]
if temp[1].find("ZipCode") != -1:
pcode = pcode + " " + temp[0]
m += 1
street = street.lstrip().replace(',', '')
city = city.lstrip().replace(',', '')
state = state.lstrip().replace(',', '')
pcode = pcode.lstrip().replace(',', '')
return (street, city, state, pcode)
def parse_page(self, response):
try:
item = ChainItem()
item['store_name'] = self.validate(response.xpath('//div[@class="retailer-details"]//h4//text()').extract()[0])
address = self.eliminate_space(response.xpath('//div[@class="retailer-details"]/p//text()').extract())[0]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.eliminate_space(response.xpath('//div[@class="retailer-details"]/p//text()').extract())[1]
h_temp = ''
hour_list = self.eliminate_space(response.xpath('//ul[@class="hours-results"]//text()').extract())
cnt = 1
for hour in hour_list:
h_temp += hour
if cnt % 2 == 0:
h_temp += ', '
else:
h_temp += ' '
cnt += 1
item['store_hours'] = h_temp[:-2]
if len(hour_list) < 10:
item['store_hours'] = ''
yield item
except:
pdb.set_trace()
def isValidAddress(ady, verbose=False):
address = usaddress.parse(ady)
if len(address) < 4:
showFailureReason('Not Enough Terms', ady, address, verbose)
return False
if any([a[1] == 'Recipient' for a in address]):
showFailureReason('Recipient', ady, address, verbose)
return False
if not any([a[1] == 'StreetName' for a in address]):
dic = {}
for v, k in address:
dic[k] = '%s %s' % (dic.get(k, ''), v)
if 'BuildingName' in dic and 'PlaceName' in dic and \
'StateName' in dic:
return True
showFailureReason('StreetName', ady, address, verbose)
return False
if not any([a[1] == 'AddressNumber' for a in address]):
showFailureReason('AddressNumber', ady, address, verbose)
return False
return True
def parse(self, response):
phone = response.meta.get('phone')
store_list = response.xpath('//section[@id="mainContent"]')
for store in store_list:
item = ChainItem()
item['store_name'] = self.validate(store.xpath('.//h2//text()').extract_first())
addr_list= store.xpath('.//address//text()').extract()
address = ''
for addr in addr_list[:-2]:
address += addr + ' '
addr = usaddress.parse(self.validate(address))
item['address'] = ''
item['city'] = ''
item['state'] = ''
item['zip_code'] = ''
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = "United States"
item['phone_number'] = phone
yield item
def body(self, response):
data = response.body.split('initial_locations:')[1].split('min_zoom:')[0].strip()[:-1]
store_list = json.loads(data)
for store in store_list:
item = ChainItem()
item['store_number'] = store['location_id']
item['store_name'] = store['title']
item['latitude'] = store['latitude']
item['longitude'] = store['longitude']
item['phone_number'] = store['phone']
city = ''
address = ''
state = ''
zip_code = ''
temp_address = store['address']
addr = usaddress.parse(temp_address)
for temp in addr:
if temp[1] == 'PlaceName':
city += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
state = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
zip_code = temp[0].replace(',','')
else:
address += temp[0].replace(',','') + ' '
item['address'] = address
item['city'] = city
item['state'] = state
item['zip_code'] = zip_code
item['country'] = store['country']
yield item
def predict(self, X):
reload(usaddress
) # tagger object is defined at the module level, update now
predictions = []
for address in X:
predictions.append([foo[1] for foo in usaddress.parse(address)])
return predictions
def parse_page(self, response):
try:
item = ChainItem()
addr_list = self.eliminate_space(response.xpath('//div[@class="dBox01"][1]//text()').extract())[1:]
address = ''
for addr in addr_list:
if 'locate' in addr.lower() or 'corner' in addr.lower() or 'shop' in addr.lower() or 'null' in addr.lower() or 'intersection' in addr.lower() or 'market' in addr.lower():
addr = self.validate(addr.split(',')[0])
address += addr + ' '
item['address'] = ''
item['city'] = ''
item['state'] = ''
addr = usaddress.parse(address[:-2])
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',','')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = self.check_country(item['state'])
h_temp = 'MinuteClinic hours: '
hour_list = self.eliminate_space(response.xpath('//div[@class="dMarginBot2"][1]/text()').extract())
cnt = 1
for hour in hour_list:
h_temp += hour + ', '
if cnt == 3:
h_temp += 'Lunch hours: '
cnt += 1
item['store_hours'] = h_temp[:-2]
yield item
except:
pass
def parse_page(self, response):
try:
item = ChainItem()
detail = self.eliminate_space(
response.xpath(
'//div[@class="location"][1]//address//text()').extract())
address = ''
for de in detail[1:]:
address += de + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.eliminate_space(
response.xpath(
'//div[@class="location"][2]//text()').extract())[2]
yield item
except:
pass
def preprocess(self,text):
#this case is included because usaddress doesn't do a great job if there isn't a number at parsing semantic information
#However if there is a number it tends to be better than streetaddress
#Therefore usaddress is better at figuring out where the start of an address is, in say a very long body of text with an address in there at some point
#It isn't that great at approximate locations
nouns = ['NN','NNP','NNPS','NNS']
if any([elem.isdigit() for elem in text.split(" ")]):
addr = usaddress.parse(text)
addr = [elem for elem in addr if elem[1] != 'Recipient']
addr_dict = {}
for value,key in addr:
if key in addr_dict.keys():
addr_dict[key] += " "+value
else:
addr_dict[key] = value
return addr_dict,"complete"
else:
possible_streets = []
for word,tag in tagger.tag(text.split()):
if tag == 'LOCATION':
possible_streets.append(word)
parts = nltk.pos_tag(nltk.word_tokenize(text))
for part in parts:
if any([part[1]==noun for noun in nouns]):
possible_streets.append(part[0])
return possible_streets,"cross streets"
def body(self, response):
print("========= Checking.......")
store_list = response.xpath('//div[@id="cms_content_frame"]//tr')
for store in store_list[6:-1]:
detail = self.eliminate_space(store.xpath('.//text()').extract())
try:
item = ChainItem()
item['store_name'] = detail[0]
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(detail[1])
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.validate(
detail[2].split('Grocery Hours:')[0].strip()[1:-1])
item['store_hours'] = self.validate(
detail[2].split('Grocery Hours:')[1].strip())
if item['store_name'] == 'Nob Hill Foods':
yield item
except:
pass
def parse_page(self, response):
item = ChainItem()
store = response.xpath('//div[@class="store-list-detail"]')
item['store_name'] = self.validate(response.xpath('.//div[@class="store-details-section"]//h1/text()').extract_first())
address_temp = self.eliminate_space(store.xpath('.//div[@class="sl-address"]//text()').extract())
address = ''
for temp in address_temp:
address += temp +', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address)
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',','') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0]
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',','')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
item['phone_number'] = self.validate(store.xpath('.//a[@itemprop="telephone"]/text()').extract_first())
h_temp = ''
hour_list = store.xpath('.//div[contains(@class, "sl-store-hours")]//div[@class="sl-hours"]')
for hour in hour_list:
hour = self.eliminate_space(hour.xpath('.//div/text()').extract())
for h in hour:
h_temp += h +' '
h_temp += ', '
item['store_hours'] = h_temp[:-2]
yield item
def parse_page(self, response):
try:
item = ChainItem()
detail = self.eliminate_space(
response.xpath('//table//text()').extract())
item['store_name'] = self.validate(
response.xpath('//h1/text()').extract_first())
address = ''
for cnt in range(1, len(detail)):
if 'phone' in detail[cnt].lower():
item['phone_number'] = detail[cnt + 1]
break
address += detail[cnt] + ', '
item['address'] = ''
item['city'] = ''
addr = usaddress.parse(address[:-2])
for temp in addr:
if temp[1] == 'PlaceName':
item['city'] += temp[0].replace(',', '') + ' '
elif temp[1] == 'StateName':
item['state'] = temp[0].replace(',', '')
elif temp[1] == 'ZipCode':
item['zip_code'] = temp[0].replace(',', '')
else:
item['address'] += temp[0].replace(',', '') + ' '
item['country'] = 'United States'
h_temp = ''
for de in detail:
if ':' in de:
h_temp += de + ', '
item['store_hours'] = h_temp[:-2]
yield item
except:
pass
def test_us_ia_linn(self) :
test_file = 'training_data/openaddress_us_ia_linn.xml'
for address_text, components in parseTrainingData(test_file) :
_, labels_true = zip(*components)
_, labels_pred = zip(*parse(address_text))
yield equals, address_text, labels_pred, labels_true
def anonymize(self, address):
try:
return self._cache[address]
except KeyError:
parsed = usaddress.parse(address)
anonymized = ' '.join(self._anonymize_parsed(parsed))
self._cache[address] = anonymized
return anonymized
def test_Parser(self):
test_file = 'training/test_data/synthetic_osm_data_xml.xml'
for address_text, components in parseTrainingData(test_file) :
_, labels_true = zip(*components)
_, labels_pred = zip(*parse(address_text))
yield equals, address_text, labels_pred, labels_true
def test_synthetic_addresses(self):
test_file = "measure_performance/test_data/synthetic_osm_data.xml"
data = list(readTrainingData([test_file], GROUP_LABEL))
for labeled_address in data:
address_text, components = labeled_address
_, labels_true = list(zip(*components))
_, labels_pred = list(zip(*parse(address_text)))
yield equals, address_text, labels_pred, labels_true
def test_Parser(self):
test_file = 'training/test_data/us50_test_tagged.xml'
for address_text, components in parseTrainingData(test_file) :
_, labels_true = zip(*components)
_, labels_pred = zip(*parse(address_text))
yield fuzzyEquals, address_text, labels_pred, labels_true
def typoCol(self, x):
result = []
print usaddress.parse(x)
for r in usaddress.parse(x):
if numpy.random.rand(1,1) > self.typoprob:
result.append(str(r[0]))
elif r[1] == 'ZipCode':
pass
elif r[1] == 'StreetNamePostType':
newr = str(r[0])
for i in self.term_alts:
if newr.lower() in i:
newr = random.choice(i)
result.append(newr)
else:
result.append(str(r[0]))
return ' '.join(result)
def format_address(addr):
addr_components = usaddress.parse(addr)
dicter = {}
for component in addr_components:
if not component[1] in dicter.keys():
dicter[component[1]] = component[0]
else:
dicter[component[1]] += " "+component[0]
return dicter["AddressNumber"] + " " + dicter["StreetName"] + " " + format_streetname_post_type(dicter["StreetNamePostType"]) + " " + dicter["PlaceName"] + " " + dicter["StateName"] + " "+ dicter["ZipCode"]
def test_us50(self):
test_file = "measure_performance/test_data/us50_test_tagged.xml"
data = list(readTrainingData([test_file], GROUP_LABEL))
for labeled_address in data:
address_text, components = labeled_address
_, labels_true = list(zip(*components))
_, labels_pred = list(zip(*parse(address_text)))
yield fuzzyEquals, address_text, labels_pred, labels_true
def parse_with_usaddress_parse(self, addr_str):
"""
Parses address string using usaddress's `parse()` function
"""
parsed = usaddress.parse(addr_str)
addr_parts = [{'code': self.standard_part_mapping[v], 'value': k} for k, v in parsed]
return addr_parts
def completeStreetTypeAbbreviation(streetName):
streetComponents = usaddress.parse(streetName)
reconstructedStreet = []
for streetComponent in streetComponents:
if streetComponent[1] != "StreetNamePostType":
reconstructedStreet.append(streetComponent[0])
else:
abbreviationToConvert = re.sub("[^A-Z]+", "", streetComponent[0].upper()) #convert to upper case and remove nonalpha chars
reconstructedStreet.append(streetConversionMap.get(abbreviationToConvert, streetComponent[0]).capitalize())
return " ".join(reconstructedStreet)
def parse_address(address):
parsed = usaddress.parse(address)
street_number = ' '.join([p[0] for p in parsed if p[1] == 'AddressNumber'])
street_dir = ' '.join([p[0] for p in parsed if p[1] == 'StreetNamePreDirectional'])
street_name = ' '.join([p[0] for p in parsed if p[1] == 'StreetName'])
street_type = ' '.join([p[0] for p in parsed if p[1] == 'StreetNamePostType'])
unit_number = ' '.join([p[0] for p in parsed if p[1] == 'OccupancyIdentifier'])
return (street_number, street_dir, street_name, street_type, unit_number)
def usaddress_to_dict(text):
addr = usaddress.parse(text)
addr = [elem for elem in addr if elem[1] != 'Recipient']
addr_dict = {}
for value,key in addr:
if key in addr_dict.keys():
addr_dict[key] += " "+value
else:
addr_dict[key] = value
return addr_dict
def consoleLabel(raw_addr, label_options):
friendly_tag_dict = dict((label[1], label[0])
for label in label_options)
valid_responses = ['y', 'n', 's', 'f', '']
addrs_left_to_tag = []
finished = False
addrs_left_to_tag = raw_addr.copy()
total_addrs = len(raw_addr)
tagged_addr = set([])
for i, addr_string in enumerate(raw_addr, 1):
if not finished:
print "(%s of %s)" % (i, total_addrs)
print "-"*50
print "ADDRESS STRING: ", addr_string
preds = usaddress.parse(addr_string)
user_input = None
while user_input not in valid_responses :
friendly_addr = [(token[0], friendly_tag_dict[token[1]]) for token in preds]
print_table(friendly_addr)
sys.stderr.write('Is this correct? (y)es / (n)o / (s)kip / (f)inish tagging\n')
user_input = sys.stdin.readline().strip()
if user_input =='y':
tagged_addr.add(tuple(preds))
addrs_left_to_tag.remove(addr_string)
elif user_input =='n':
corrected_addr = manualTagging(preds,
label_options,
friendly_tag_dict)
tagged_addr.add(tuple(corrected_addr))
addrs_left_to_tag.remove(addr_string)
elif user_input in ('' or 's') :
print "Skipped\n"
elif user_input == 'f':
finished = True
print "Done! Yay!"
return tagged_addr, addrs_left_to_tag
def get_streetnames(text):
streetnames = []
parsed_text = usaddress.parse(text)
for ind,word in enumerate(parsed_text):
if word[1] == "StreetName":
if word[0] not in ["and","or","near","between"]:
if ind+1 < len(parsed_text):
if parsed_text[ind+1][1] == "StreetNamePostType":
streetnames.append(word[0]+ " " + parsed_text[ind+1][0])
else:
streetnames.append(word[0])
else:
streetnames.append(word[0])
return streetnames
def _reverse_geocode(geocoder, tag_name, lat, long):
point = Point(lat, long)
try:
point_location = geocoder.reverse(point, exactly_one=True)
if point_location and point_location.address:
raw_parse = usaddress.parse(point_location.address)
parsed = SocialExplorer._process_usaddress_parsed(raw_parse, [tag_name])
return parsed.get('PlaceName') if parsed.get('PlaceName') else None
except exc.GeocoderQuotaExceeded as e:
print e
return
except Exception as e:
print e
return
def extract_name_and_address(txt):
match = _name_from_address_splitter.search(txt)
result = {'street': '', 'name': match.group(1)}
parsed = usaddress.parse(match.group(2))
"""usaddress parses to many pieces, most of which should be
reassembled into `street`."""
for (word, word_type) in parsed:
if word_type == 'PlaceName':
result['city'] = word
elif word_type == 'StateName':
result['state'] = word
elif word_type == 'ZipCode':
result['zip_code'] = word
else:
result['street'] += word + ' '
return {r: result[r].strip().strip(',') for r in result}
def address_is_complete(text):
streetname_exists = False
streetnumber_exists = False
cross_street = False
num_streets = 0
for elem in usaddress.parse(text):
if "StreetName" == elem[1]:
streetname_exists = True
num_streets += 1
if "AddressNumber" == elem[1] and elem[1].isdigit():
streetnumber_exists = True
if streetname_exists and streetnumber_exists:
return "complete"
elif num_streets > 1 and not streetnumber_exists:
return "cross street"
else:
return "no address information"
def isValidAddress(ady, verbose=False):
address = usaddress.parse(ady)
if len(address) < 4:
showFailureReason('Not Enough Terms', ady, address, verbose)
return False
if any([a[1] == 'Recipient' for a in address]):
showFailureReason('Recipient', ady, address, verbose)
return False
if not any([a[1] == 'StreetName' for a in address]):
showFailureReason('StreetName', ady, address, verbose)
return False
if not any([a[1] == 'AddressNumber' for a in address]):
showFailureReason('AddressNumber', ady, address, verbose)
return False
return True
def lookup_geo(g, ady):
components = usaddress.parse(ady)
addressNumber = ' '.join([a[0] for a in components
if a[1] == 'AddressNumber'])
streetName = ' '.join([a[0] for a in components
if a[1].startswith('Street')])
streetName = streetName.replace(',', '')
borough = components[-2][0].replace(',', '')
if borough == 'NY':
borough = 'Manhattan'
# print '%s : %s : %s ' %(addressNumber, streetName, borough)
dic = g.address(addressNumber, streetName, borough)
zipcode = dic.get('zipCode', '')
streetAddress = '%s %s' % (dic.get('houseNumber', ''),
dic.get('firstStreetNameNormalized', ''))
borough = dic.get('firstBoroughName', '')
longitude = dic.get('longitude', '')
latitude = dic.get('latitude', '')
return {
"refLocation": [{
"@type": "Place",
"@context": "http://schema.org",
"address": {
"@type": "PostalAddress",
"addressLocality": "New York City",
"addressRegion": "NY",
"postalCode": zipcode,
"streetAddress": streetAddress.strip(),
"borough": borough
},
"geo": {
"@type": "GeoCoordinates",
"latitude": latitude,
"longitude": longitude
}}]
}
def parse(self, name):
usa = ', USA'
if name.endswith(usa):
name = name[:-len(usa)]
try:
parts = usaddress.parse(name)
except UnicodeDecodeError:
parts = ()
place_parts = []
state = ''
for n, t in parts:
if t == 'PlaceName':
place_parts.append(n.strip(' ,'))
elif t == 'StateName':
state = n.strip(' ,')
return {
'place': ' '.join(place_parts),
'state': state
}
streets.add(tag.get('v').split(" ")[-1])
elem.clear()
streets
# In[58]:
#Trying a more sophisticated approach that uses natural language processing module usaddress
#https://github.com/datamade/usaddress
streets = Set()
for event, elem in ET.iterparse('los-angeles_california.osm', events=("start",)):
if elem.tag == "node" or elem.tag == "way":
for tag in elem.iter("tag"):
if is_street_name(tag):
try:
streets.add(str(next((st for st, comp in usaddress.parse(tag.get('v')) if comp == "StreetNamePostType"))))
except:
continue
elem.clear()
streets
# In[4]:
#The file `C1 Street Suffix Abbreviations.html` is the html downloaded from the webpage at http://pe.usps.gov/text/pub28/28apc_002.htm
#The main table with all of the street suffix abbreviations and variations has an id of ep533076
#Its body is structured as follows, and the algorithm below uses this structure
#to make {abbrev: full_name} pairs for each abbreviation, including the standard one if
#it's not already included in the middle column
#-------------------------------------------
#| Full Name | Abbrev #1 | Standard Abbrev |
if columnNum == 1:
columnTest = column
columnNum+=1
numMatch = re.search(r'\d+', columnTest)
hashTagMatch = re.search(r'#', columnTest)
if hashTagMatch:
columnList.append('Code Violations')
if numMatch:
columnNum = 0
for column in columnList:
if column == '':
columnList[columnNum] = 'Not applicable'
columnNum+=1
addressString = columnList[2]
mapsUrl = "http://maps.google.com/?q=" + addressString
addressDict = usaddress.parse(addressString)
streetNum = (addressDict[0])[0]
street = (addressDict[1])[0]
if len(addressDict) >= 3:
streetType = stTypeToAbbrev((addressDict[2])[0])
else:
streetType = ''
columnList[2] = mapsUrlToHref(mapsUrl, addressString)
siteTest = columnList[3]
noSiteMatch = re.search(r'No website', siteTest)
if not noSiteMatch:
columnList[3] = '<a href=\"' + siteTest + '\">Link</a>'
columnList.append(("<a href=javascript:loadDoc(\'%s\',\'%s\',\'%s\')>Link</a>" %(streetNum, street, streetType)).encode('utf-8').strip())
columnList = list(filter(lambda x: x!= '', columnList))
housingTable = housingTable + rowGenerator(columnList)
curs = conn.cursor()
rows = curs.execute(sel, params)
for row in curs.fetchall():
yield row
def geocode(address):
url = 'https://geomap.ffiec.gov/FFIECGeocMap/GeocodeMap1.aspx/GetGeocodeData'
headers = {'content-type': 'application/json; charset=utf-8'}
params = {'sSingleLine': '{0} Chicago, IL'.format(address), 'iCensusYear': "2014"}
r = requests.post(url, headers=headers, data=json.dumps(params))
return r.json()
if __name__ == "__main__":
import time
for row in getRecords():
parsed_address = usaddress.parse(row[0])
add = ' '.join([component for component, label in parsed_address \
if label in ['AddressNumber', 'StreetNamePreDirectional', 'StreetName']])
response = geocode(add)
latitude = response['d']['sLatitude']
longitude = response['d']['sLongitude']
formatted_address = response['d']['sMatchAddr']
raw_address = row[0]
if latitude and longitude:
print raw_address
ins = '''
INSERT INTO addresses (
status,
formatted_address,
raw_address,
source,
def predict(self, X):
reload(usaddress) # tagger object is defined at the module level, update now
predictions = []
for address in X:
predictions.append([foo[1] for foo in usaddress.parse(address)])
return predictions
if outdoor: print 'outdoor:', outdoor
if wifi: print 'wifi:', wifi
if goodFor: print 'goodFor:', goodFor
if alcohol: print 'alcohol:', alcohol
if noise: print 'noise:', noise
if ambience: print 'ambience:', ambience
if tv: print 'tv:', tv
if caters: print 'caters:', caters
if wheelchairAccessible: print 'wheelchairAccessible:', wheelchairAccessible
row = dict(title=title, categories=categories, rating=rating, img=img, addr=addr, phone=phone, price=price, menu=menu,
creditCards=creditCards, parking=parking, attire=attire, groups=groups, kids=kids, reservations=reservations, delivery=delivery, takeout=takeout,
waiterService=waiterService, outdoor=outdoor, wifi=wifi, goodFor=goodFor, alcohol=alcohol, noise=noise, ambience=ambience, tv=tv, caters=caters,
wheelchairAccessible=wheelchairAccessible)
# dont know why we need to switch these
parsed_address = usaddress.parse(addr)
row.update({v: k for k,v in parsed_address})
writer.writerow({k:v.encode('utf8') for k,v in row.items()})
return extracted, True
def crawl(zipcode=None):
page = 0
flag = True
some_zipcodes = [zipcode] if zipcode else get_zips()
if zipcode is None:
print '\n**We are attempting to extract all zipcodes in America!**'
for zipcode in some_zipcodes:
# print '\n===== Attempting extraction for zipcode <', zipcode, '>=====\n'
def lookupAddress(address): parsedAddress = usaddress.parse(address) return parsedAddress