data = data.replace("&", "&")
#This splits the complete data into a list containing one item/county.
county_data = county_data_re.findall(data)
for county in county_data:
authority_name, first_name, last_name, county_name, town_name, fips, street, city, address_state, zip_code, po_street, po_city, po_state, po_zip_code, reg_authority_name, reg_first, reg_last, reg_street, reg_city, reg_state, reg_zip_code, reg_po_street, reg_po_city, reg_po_state, reg_po_zip_code, reg_phone, reg_fax, reg_email, reg_website, reg_hours, phone, fax, email, website, hours, review = dogcatcher.begin(
voter_state)
county_name = county_name_re.findall(county)[0]
county_data_item = county_data_item_re.findall(county)
first_name, last_name, authority_name, review = dogcatcher.make_name(
county_data_item[0], ", ", review)
print county_data_item[0]
#print authority_name + " | " + first_name + " " + last_name
#This section generates the address. It does so by identifying whether there are one or two address-looking things in the data. (CA explicitly prints a separate mailing address when counties have them.)
#CA addresses are formatted "Street\nCity, State, Zip"
#If there is one, it is the mailing and registration address; if there are two, the second is the mailing address, and the first is the address.
#After finding these, it applies the same procedure to both: it identifies a city/state/zip (csz) combination and removes that from the full address, leaving behind a street address with some garbage.
#It then cleans up the street address and pulls the city, state, and zip out of the csz.
address_full = address_re.findall(county)
address = address_full[0]
if len(address_full) > 1:
mailing_address = address_full[1]
#fixing an edge case in Baltimore City
if county_name == "Baltimore City":
if "for Absentee Ballots Only" and "410-727-1775" in county:
reg_fax = fax
fax = "410-727-1775"
else:
print "Something's changed in Baltimore City."
sys.exit()
print "_______________________________________"
print county
print "======================================="
official_name = official_name_re.findall(county)[0].lstrip("\n ")
first_name, last_name, authority_name, review = dogcatcher.make_name(
official_name, ",", review)
#This section generates the address. In Maryland, there's either a single street address, or explicitly delineated street and mailing addresses.
#This checks whether the latter case is true. If so, it isolates both addresses and creates a street address, city, state, and zip separately.
#If not, it creates only a street address.
street_address_check = street_address_re.findall(county)
if street_address_check:
street_address = street_address_check[0]
street_csz = csz_re.findall(street_address)[0]
city = city_re.findall(street_csz)[0]
address_state = state_re.findall(street_csz)[0]
zip_code = zip_re.findall(street_csz)[0]
street = street_address.replace(street_csz,
data = data.replace("&","&")
#This splits the complete data into a list containing one item/county.
county_data = county_data_re.findall(data)
for county in county_data:
authority_name, first_name, last_name, county_name, town_name, fips, street, city, address_state, zip_code, po_street, po_city, po_state, po_zip_code, reg_authority_name, reg_first, reg_last, reg_street, reg_city, reg_state, reg_zip_code, reg_po_street, reg_po_city, reg_po_state, reg_po_zip_code, reg_phone, reg_fax, reg_email, reg_website, reg_hours, phone, fax, email, website, hours, review = dogcatcher.begin(voter_state)
county_name = county_name_re.findall(county)[0]
county_data_item = county_data_item_re.findall(county)
first_name, last_name, authority_name, review = dogcatcher.make_name(county_data_item[0], ", ", review)
print county_data_item[0]
#print authority_name + " | " + first_name + " " + last_name
#This section generates the address. It does so by identifying whether there are one or two address-looking things in the data. (CA explicitly prints a separate mailing address when counties have them.)
#CA addresses are formatted "Street\nCity, State, Zip"
#If there is one, it is the mailing and registration address; if there are two, the second is the mailing address, and the first is the address.
#After finding these, it applies the same procedure to both: it identifies a city/state/zip (csz) combination and removes that from the full address, leaving behind a street address with some garbage.
#It then cleans up the street address and pulls the city, state, and zip out of the csz.
address_full = address_re.findall(county)
address = address_full[0]
if len(address_full)>1:
state_re = re.compile(" ([A-Z][A-Z]) ")
zip_re = re.compile(" (\d{5}[\d-]*)")
po_re = re.compile("(P[oO] Box .+) *", re.DOTALL)
email_re = re.compile("Email: (.+?) *<")
municipal_re = re.compile("href=\"LocalClerk\.aspx\?jd=(\d{5})")
municipality_list.extend(municipal_re.findall(data))
authority_name, first_name, last_name, county_name, town_name, fips, street, city, address_state, zip_code, po_street, po_city, po_state, po_zip_code, reg_authority_name, reg_first, reg_last, reg_street, reg_city, reg_state, reg_zip_code, reg_po_street, reg_po_city, reg_po_state, reg_po_zip_code, reg_phone, reg_fax, reg_email, reg_website, reg_hours, phone, fax, email, website, hours, review = dogcatcher.begin(
voter_state)
county_name = county_name_re.findall(county)[0]
official = official_name_re.findall(county)[0]
first_name, last_name, official_name, review = dogcatcher.make_name(
official, ",", review)
email = dogcatcher.find_emails(email_re, county)
phone = dogcatcher.find_phone(phone_re, county)
fax = dogcatcher.find_phone(fax_re, county)
#This section finds the address. After finding the address, it identifies a city/state/zip (csz) combination and a PO Box number if that exists.
#It removes both the CSZ and the PO Address (if it exists) from the full address, leaving behind a street address with some garbage.
#It then cleans up the street address and pulls the city, state, and zip out of the csz, and assigns them as appropriate to the street address and state.
address = address_re.findall(county)[0].replace(
"</span><br><span ID=\"lblAddress2\" Class=\"clerkText\">", "")
csz = csz_re.findall(county)[0]
try:
if county_name == "Baltimore City":
if "for Absentee Ballots Only" and "410-727-1775" in county:
reg_fax = fax
fax = "410-727-1775"
else:
print "Something's changed in Baltimore City."
sys.exit()
print "_______________________________________"
print county
print "======================================="
official_name = official_name_re.findall(county)[0].lstrip("\n ")
first_name, last_name, authority_name, review = dogcatcher.make_name(official_name, ",", review)
#This section generates the address. In Maryland, there's either a single street address, or explicitly delineated street and mailing addresses.
#This checks whether the latter case is true. If so, it isolates both addresses and creates a street address, city, state, and zip separately.
#If not, it creates only a street address.
street_address_check = street_address_re.findall(county)
if street_address_check:
street_address = street_address_check[0]
street_csz = csz_re.findall(street_address)[0]
city = city_re.findall(street_csz)[0]
address_state = state_re.findall(street_csz)[0]
zip_code = zip_re.findall(street_csz)[0]
street = street_address.replace(street_csz,"").replace("\r\n",", ").replace("<br />","").strip(", ")
po_re = re.compile("P\.*O\.* .+")
name_line_re = re.compile("\d\s*<br />\s+([^\d]+)</td")
authority_name_re = re.compile(",\s+([^\d]+?)</td>")
space_re = re.compile("\s\s+")
#This splits the complete dataset into a series of towns so we can extract data form them one-by-one.
town_data = town_data_re.findall(data)
for town in town_data:
authority_name, first_name, last_name, county_name, town_name, fips, street, city, address_state, zip_code, po_street, po_city, po_state, po_zip_code, reg_authority_name, reg_first, reg_last, reg_street, reg_city, reg_state, reg_zip_code, reg_po_street, reg_po_city, reg_po_state, reg_po_zip_code, reg_phone, reg_fax, reg_email, reg_website, reg_hours, phone, fax, email, website, hours, review = dogcatcher.begin(voter_state)
name_line = name_line_re.findall(town)[0].replace("<br />","")
first_name, last_name, authority_name, review = dogcatcher.make_name(name_line, ",", review)
#Some of the authority names break in mid-line; this cleans them.
for item in space_re.findall(authority_name):
authority_name = authority_name.replace(item," ")
town_name = town_name_re.findall(town)[0]
hours = hours_re.findall(town)[0]
hours = " ".join(hours.replace("\r\n","").replace("<br />"," ").split())
email = dogcatcher.find_emails(email_re, town)
phone = dogcatcher.find_phone(phone_re, town)
city_re = re.compile("(.+?) [A-Z][A-Z]")
state_re = re.compile(" ([A-Z][A-Z]) ")
zip_re = re.compile(" (\d{5}[\d-]*)")
po_re = re.compile("(P[oO] Box .+) *", re.DOTALL)
email_re = re.compile("Email: (.+?) *<")
municipal_re = re.compile("href=\"LocalClerk\.aspx\?jd=(\d{5})")
municipality_list.extend(municipal_re.findall(data))
authority_name, first_name, last_name, county_name, town_name, fips, street, city, address_state, zip_code, po_street, po_city, po_state, po_zip_code, reg_authority_name, reg_first, reg_last, reg_street, reg_city, reg_state, reg_zip_code, reg_po_street, reg_po_city, reg_po_state, reg_po_zip_code, reg_phone, reg_fax, reg_email, reg_website, reg_hours, phone, fax, email, website, hours, review = dogcatcher.begin(voter_state)
county_name = county_name_re.findall(county)[0]
official = official_name_re.findall(county)[0]
first_name, last_name, official_name, review = dogcatcher.make_name(official, ",", review)
email = dogcatcher.find_emails(email_re, county)
phone = dogcatcher.find_phone(phone_re, county)
fax = dogcatcher.find_phone(fax_re, county)
#This section finds the address. After finding the address, it identifies a city/state/zip (csz) combination and a PO Box number if that exists.
#It removes both the CSZ and the PO Address (if it exists) from the full address, leaving behind a street address with some garbage.
#It then cleans up the street address and pulls the city, state, and zip out of the csz, and assigns them as appropriate to the street address and state.
address = address_re.findall(county)[0].replace("</span><br><span ID=\"lblAddress2\" Class=\"clerkText\">","")
csz = csz_re.findall(county)[0]
try:
po_street = po_re.findall(address)[0].replace(csz,"").strip(", ")