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428 lines
23 KiB
Python

import re, datetime
grammar = {
"_data": {
'status': ['Status\s*:\s?(?P<val>.+)',
'state:\s*(?P<val>.+)'],
'creation_date': ['Creation Date:\s?(?P<val>.+)',
'Created on:\s?(?P<val>.+)',
'Created on\s?[.]*:\s?(?P<val>.+)\.',
'Date Registered\s?[.]*:\s?(?P<val>.+)',
'Domain Created\s?[.]*:\s?(?P<val>.+)',
'Domain registered\s?[.]*:\s?(?P<val>.+)',
'Domain record activated\s?[.]*:\s*?(?P<val>.+)',
'Record created on\s?[.]*:?\s*?(?P<val>.+)',
'Record created\s?[.]*:?\s*?(?P<val>.+)',
'Created\s?[.]*:?\s*?(?P<val>.+)',
'Registered on\s?[.]*:?\s*?(?P<val>.+)',
'Registered\s?[.]*:?\s*?(?P<val>.+)',
'Domain Create Date\s?[.]*:?\s*?(?P<val>.+)',
'Domain Registration Date\s?[.]*:?\s*?(?P<val>.+)',
'created:\s*(?P<val>.+)',
'registered:\s*(?P<val>.+)'],
'expiration_date': ['Expiration Date:\s?(?P<val>.+)',
'Expires on:\s?(?P<val>.+)',
'Expires on\s?[.]*:\s?(?P<val>.+)\.',
'Expiry Date\s?[.]*:\s?(?P<val>.+)',
'Expiry\s*:\s?(?P<val>.+)',
'Domain Currently Expires\s?[.]*:\s?(?P<val>.+)',
'Record will expire on\s?[.]*:\s?(?P<val>.+)',
'Domain expires\s?[.]*:\s*?(?P<val>.+)',
'Record expires on\s?[.]*:?\s*?(?P<val>.+)',
'Record expires\s?[.]*:?\s*?(?P<val>.+)',
'Expires\s?[.]*:?\s*?(?P<val>.+)',
'Expire Date\s?[.]*:?\s*?(?P<val>.+)',
'Expired\s?[.]*:?\s*?(?P<val>.+)',
'Domain Expiration Date\s?[.]*:?\s*?(?P<val>.+)',
'paid-till:\s*(?P<val>.+)',
'expire:\s*(?P<val>.+)'],
'updated_date': ['Updated Date:\s?(?P<val>.+)',
#'Database last updated on\s?[.]*:?\s*?(?P<val>.+)\s[a-z]+\.?',
'Record last updated on\s?[.]*:?\s?(?P<val>.+)\.',
'Domain record last updated\s?[.]*:\s*?(?P<val>.+)',
'Domain Last Updated\s?[.]*:\s*?(?P<val>.+)',
'Last updated on:\s?(?P<val>.+)',
'Date Modified\s?[.]*:\s?(?P<val>.+)',
'Last Modified\s?[.]*:\s?(?P<val>.+)',
'Domain Last Updated Date\s?[.]*:\s?(?P<val>.+)',
'Record last updated\s?[.]*:\s?(?P<val>.+)',
'Modified\s?[.]*:\s?(?P<val>.+)',
'changed:\s*(?P<val>.+)',
'Last Update\s?[.]*:\s?(?P<val>.+)',
'Last updated on (?P<val>.+) [a-z]{3}',
'Last update of whois database:\s?[a-z]{3}, (?P<val>.+) [a-z]{3}'],
'registrar': ['registrar:\s*(?P<val>.+)',
'Registrar:\s*(?P<val>.+)',
'Registered through:\s?(?P<val>.+)',
'Registrar Name:\s?(?P<val>.+)',
'Record maintained by:\s?(?P<val>.+)',
'Registration Service Provided By:\s?(?P<val>.+)',
'Registrar of Record:\s?(?P<val>.+)',
'\tName:\t\s(?P<val>.+)'],
'whois_server': ['Whois Server:\s?(?P<val>.+)',
'Registrar Whois:\s?(?P<val>.+)'],
'name_servers': ['Name Server:\s?(?P<val>.+)',
'(?P<val>[a-z]*d?ns[0-9]+([a-z]{3})?\.([a-z0-9-]+\.)+[a-z0-9]+)',
'nameserver:\s*(?P<val>.+)',
'nserver:\s*(?P<val>[^[\s]+)',
'DNS[0-9]+:\s*(?P<val>.+)',
'ns[0-9]+:\s*(?P<val>.+)',
'NS [0-9]+\s*:\s*(?P<val>.+)',
'(?P<val>[a-z0-9-]+\.d?ns[0-9]*\.([a-z0-9-]+\.)+[a-z0-9]+)',
'(?P<val>([a-z0-9-]+\.)+[a-z0-9]+)(\s+([0-9]{1,3}\.){3}[0-9]{1,3})',
'[^a-z0-9.-](?P<val>d?ns\.([a-z0-9-]+\.)+[a-z0-9]+)'],
'emails': ['(?P<val>[\w.-]+@[\w.-]+\.[\w]{2,4})',
'(?P<val>[\w.-]+\sAT\s[\w.-]+\sDOT\s[\w]{2,4})']
},
"_dateformats": (
'(?P<day>[0-9]{1,2})[./ -](?P<month>Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[./ -](?P<year>[0-9]{4}|[0-9]{2})'
'(\s+(?P<hour>[0-9]{1,2})[:.](?P<minute>[0-9]{1,2})[:.](?P<second>[0-9]{1,2}))?',
'[a-z]{3}\s(?P<month>Jan|Feb|Mar|Apr|May|Jun|Jul|Aug|Sep|Oct|Nov|Dec)[./ -](?P<day>[0-9]{1,2})'
'(\s+(?P<hour>[0-9]{1,2})[:.](?P<minute>[0-9]{1,2})[:.](?P<second>[0-9]{1,2}))?'
'\s[a-z]{3}\s(?P<year>[0-9]{4}|[0-9]{2})',
'(?P<year>[0-9]{4})[./-](?P<month>[0-9]{1,2})[./-](?P<day>[0-9]{1,2})',
'(?P<day>[0-9]{1,2})[./ -](?P<month>[0-9]{1,2})[./ -](?P<year>[0-9]{4}|[0-9]{2})',
'(?P<year>[0-9]{4})(?P<month>[0-9]{2})(?P<day>[0-9]{2})\s((?P<hour>[0-9]{1,2})[:.](?P<minute>[0-9]{1,2})[:.](?P<second>[0-9]{1,2}))'
),
"_months": {
'jan': 1,
'january': 1,
'feb': 2,
'february': 2,
'mar': 3,
'march': 3,
'apr': 4,
'april': 4,
'may': 5,
'jun': 6,
'june': 6,
'jul': 7,
'july': 7,
'aug': 8,
'august': 8,
'sep': 9,
'sept': 9,
'september': 9,
'oct': 10,
'october': 10,
'nov': 11,
'november': 11,
'dec': 12,
'december': 12
}
}
def parse_raw_whois(raw_data):
data = {}
raw_data = [segment.replace("\r", "") for segment in raw_data] # Carriage returns are the devil
for segment in raw_data:
for rule_key, rule_regexes in grammar['_data'].iteritems():
if data.has_key(rule_key) == False:
for line in segment.splitlines():
for regex in rule_regexes:
result = re.search(regex, line, re.IGNORECASE)
if result is not None:
val = result.group("val").strip()
if val != "":
try:
data[rule_key].append(val)
except KeyError, e:
data[rule_key] = [val]
# Fill all missing values with None
for rule_key, rule_regexes in grammar['_data'].iteritems():
if data.has_key(rule_key) == False:
data[rule_key] = None
data["contacts"] = parse_registrants(raw_data)
# Parse dates
if data['expiration_date'] is not None:
data['expiration_date'] = remove_duplicates(data['expiration_date'])
data['expiration_date'] = parse_dates(data['expiration_date'])
if data['creation_date'] is not None:
data['creation_date'] = remove_duplicates(data['creation_date'])
data['creation_date'] = parse_dates(data['creation_date'])
if data['updated_date'] is not None:
data['updated_date'] = remove_duplicates(data['updated_date'])
data['updated_date'] = parse_dates(data['updated_date'])
if data['name_servers'] is not None:
data['name_servers'] = remove_duplicates([ns.rstrip(".") for ns in data['name_servers']])
if data['emails'] is not None:
data['emails'] = remove_duplicates(data['emails'])
if data['registrar'] is not None:
data['registrar'] = remove_duplicates(data['registrar'])
# Remove e-mail addresses if they are already listed for any of the contacts
known_emails = []
for contact in ("registrant", "tech", "admin", "billing"):
if data["contacts"][contact] is not None:
try:
known_emails.append(data["contacts"][contact]["email"])
except KeyError, e:
pass # No e-mail recorded for this contact...
if data['emails'] is not None:
data['emails'] = [email for email in data["emails"] if email not in known_emails]
data["raw"] = raw_data
return data
def parse_dates(dates):
global grammar
parsed_dates = []
for date in dates:
for rule in grammar['_dateformats']:
result = re.match(rule, date, re.IGNORECASE)
if result is not None:
try:
# These are always numeric. If they fail, there is no valid date present.
year = int(result.group("year"))
day = int(result.group("day"))
# Detect and correct shorthand year notation
if year < 60:
year += 2000
elif year < 100:
year += 1900
# This will require some more guesswork - some WHOIS servers present the name of the month
try:
month = int(result.group("month"))
except ValueError, e:
# Apparently not a number. Look up the corresponding number.
try:
month = grammar['_months'][result.group("month").lower()]
except KeyError, e:
# Unknown month name, default to 0
month = 0
try:
hour = int(result.group("hour"))
except IndexError, e:
hour = 0
except TypeError, e:
hour = 0
try:
minute = int(result.group("minute"))
except IndexError, e:
minute = 0
except TypeError, e:
minute = 0
try:
second = int(result.group("second"))
except IndexError, e:
second = 0
except TypeError, e:
second = 0
break
except ValueError, e:
# Something went horribly wrong, maybe there is no valid date present?
year = 0
month = 0
day = 0
hour = 0
minute = 0
second = 0
print e.message
try:
if year > 0:
try:
parsed_dates.append(datetime.datetime(year, month, day, hour, minute, second))
except ValueError, e:
# We might have gotten the day and month the wrong way around, let's try it the other way around
# If you're not using an ISO-standard date format, you're an evil registrar!
parsed_dates.append(datetime.datetime(year, day, month, hour, minute, second))
except UnboundLocalError, e:
pass
if len(parsed_dates) > 0:
return parsed_dates
else:
return None
def remove_duplicates(data):
cleaned_list = []
for entry in data:
if entry not in cleaned_list:
cleaned_list.append(entry)
return cleaned_list
def parse_registrants(data):
registrant = None
tech_contact = None
billing_contact = None
admin_contact = None
registrant_regexes = [
"Registrant:\n (?P<name>.+)\n (?P<street1>.+)\n(?: (?P<street2>.*)\n)?(?: (?P<street3>.*)\n)? (?P<postalcode>.+), (?P<city>.+)\n (?P<country>.+)\n (?P<phone>.+)\n (?P<email>.+)\n\n", # OVH
"Registrant ID:(?P<handle>.+)\nRegistrant Name:(?P<name>.*)\nRegistrant Organization:(?P<organization>.*)\nRegistrant Street1:(?P<street1>.*)\nRegistrant Street2:(?P<street2>.*)\nRegistrant Street3:(?P<street3>.*)\nRegistrant City:(?P<city>.*)\nRegistrant State/Province:(?P<state>.*)\nRegistrant Postal Code:(?P<postalcode>.*)\nRegistrant Country:(?P<country>.*)\nRegistrant Phone:(?P<phone>.*)\nRegistrant Phone Ext.:(?P<phone_ext>.*)\nRegistrant FAX:(?P<fax>.*)\nRegistrant FAX Ext.:(?P<fax_ext>.*)\nRegistrant Email:(?P<email>.*)", # Public Interest Registry (.org)
"Registrant ID:\s*(?P<handle>.+)\nRegistrant Name:\s*(?P<name>.+)\nRegistrant Organization:\s*(?P<organization>.*)\nRegistrant Address1:\s*(?P<street1>.+)\nRegistrant Address2:\s*(?P<street2>.*)\nRegistrant City:\s*(?P<city>.+)\nRegistrant State/Province:\s*(?P<state>.+)\nRegistrant Postal Code:\s*(?P<postalcode>.+)\nRegistrant Country:\s*(?P<country>.+)\nRegistrant Country Code:\s*(?P<country_code>.+)\nRegistrant Phone Number:\s*(?P<phone>.+)\nRegistrant Email:\s*(?P<email>.+)\n", # .CO Internet
"Registrant Contact: (?P<handle>.+)\nRegistrant Organization: (?P<organization>.+)\nRegistrant Name: (?P<name>.+)\nRegistrant Street: (?P<street>.+)\nRegistrant City: (?P<city>.+)\nRegistrant Postal Code: (?P<postalcode>.+)\nRegistrant State: (?P<state>.+)\nRegistrant Country: (?P<country>.+)\nRegistrant Phone: (?P<phone>.*)\nRegistrant Phone Ext: (?P<phone_ext>.*)\nRegistrant Fax: (?P<fax>.*)\nRegistrant Fax Ext: (?P<fax_ext>.*)\nRegistrant Email: (?P<email>.*)\n", # Key-Systems GmbH
"Registrant Name: (?P<name>.+)\nRegistrant Organization: (?P<organization>.*)\nRegistrant Street: (?P<street1>.+)\n(?:Registrant Street: (?P<street2>.+)\n)?Registrant City: (?P<city>.+)\nRegistrant State\/Province: (?P<state>.+)\nRegistrant Postal Code: (?P<postalcode>.+)\nRegistrant Country: (?P<country>.+)\n(?:Registrant Phone: (?P<phone>.+)\n)?(?:Registrant Phone Ext: (?P<phone_ext>.*)\n)?(?:Registrant Fax: (?P<fax>.+)\n)?(?:Registrant Fax Ext: (?P<fax_ext>.*)\n)?(?:Registrant Email: (?P<email>.+)\n)?", # WildWestDomains, GoDaddy, Namecheap
"Registrant\n (?P<name>.+)\n Email:(?P<email>.+)\n (?P<street1>.+)\n(?: (?P<street2>.+)\n)? (?P<postalcode>.+) (?P<city>.+)\n (?P<country>.+)\n Tel: (?P<phone>.+)\n\n", # internet.bs
"Holder of domain name:\n(?P<name>[\S\s]+)\n(?P<street>.+)\n(?P<postalcode>[A-Z0-9-]+)\s+(?P<city>.+)\n(?P<country>.+)\nContractual Language", # nic.ch
"\n\n(?:Owner)?\s+: (?P<name>.*)\n(?:\s+: (?P<organization>.*)\n)?\s+: (?P<street>.*)\n\s+: (?P<city>.*)\n\s+: (?P<state>.*)\n\s+: (?P<country>.*)\n", # nic.io
"person:\s+(?P<name>.+)", # nic.ru (person)
"org:\s+(?P<organization>.+)", # nic.ru (organization)
]
tech_contact_regexes = [
"Technical Contact:\n (?P<name>.+)\n (?P<street1>.+)\n(?: (?P<street2>.*)\n)?(?: (?P<street3>.*)\n)? (?P<postalcode>.+), (?P<city>.+)\n (?P<country>.+)\n (?P<phone>.+)\n (?P<email>.+)\n\n", # OVH
"Tech ID:(?P<handle>.+)\nTech Name:(?P<name>.*)\nTech Organization:(?P<organization>.*)\nTech Street1:(?P<street1>.*)\nTech Street2:(?P<street2>.*)\nTech Street3:(?P<street3>.*)\nTech City:(?P<city>.*)\nTech State/Province:(?P<state>.*)\nTech Postal Code:(?P<postalcode>.*)\nTech Country:(?P<country>.*)\nTech Phone:(?P<phone>.*)\nTech Phone Ext.:(?P<phone_ext>.*)\nTech FAX:(?P<fax>.*)\nTech FAX Ext.:(?P<fax_ext>.*)\nTech Email:(?P<email>.*)", # Public Interest Registry (.org)
"Technical Contact ID:\s*(?P<handle>.+)\nTechnical Contact Name:\s*(?P<name>.+)\nTechnical Contact Organization:\s*(?P<organization>.*)\nTechnical Contact Address1:\s*(?P<street1>.+)\nTechnical Contact Address2:\s*(?P<street2>.*)\nTechnical Contact City:\s*(?P<city>.+)\nTechnical Contact State/Province:\s*(?P<state>.+)\nTechnical Contact Postal Code:\s*(?P<postalcode>.+)\nTechnical Contact Country:\s*(?P<country>.+)\nTechnical Contact Country Code:\s*(?P<country_code>.+)\nTechnical Contact Phone Number:\s*(?P<phone>.+)\nTechnical Contact Email:\s*(?P<email>.+)\n", # .CO Internet
"Tech Contact: (?P<handle>.+)\nTech Organization: (?P<organization>.+)\nTech Name: (?P<name>.+)\nTech Street: (?P<street>.+)\nTech City: (?P<city>.+)\nTech Postal Code: (?P<postalcode>.+)\nTech State: (?P<state>.+)\nTech Country: (?P<country>.+)\nTech Phone: (?P<phone>.*)\nTech Phone Ext: (?P<phone_ext>.*)\nTech Fax: (?P<fax>.*)\nTech Fax Ext: (?P<fax_ext>.*)\nTech Email: (?P<email>.*)\n", # Key-Systems GmbH
"Tech Name: (?P<name>.+)\nTech Organization: (?P<organization>.*)\nTech Street: (?P<street1>.+)\n(?:Tech Street: (?P<street2>.+)\n)?Tech City: (?P<city>.+)\nTech State\/Province: (?P<state>.+)\nTech Postal Code: (?P<postalcode>.+)\nTech Country: (?P<country>.+)\n(?:Tech Phone: (?P<phone>.+)\n)?(?:Tech Phone Ext: (?P<phone_ext>.*)\n)?(?:Tech Fax: (?P<fax>.+)\n)?(?:Tech Fax Ext: (?P<fax_ext>.*)\n)?(?:Tech Email: (?P<email>.+)\n)?", # WildWestDomains, GoDaddy, Namecheap
"Technical Contact\n (?P<name>.+)\n Email:(?P<email>.+)\n (?P<street1>.+)\n(?: (?P<street2>.+)\n)? (?P<postalcode>.+) (?P<city>.+)\n (?P<country>.+)\n Tel: (?P<phone>.+)\n\n", # internet.bs
"Technical contact:\n(?P<name>[\S\s]+)\n(?P<street>.+)\n(?P<postalcode>[A-Z0-9-]+)\s+(?P<city>.+)\n(?P<country>.+)\n\n" # nic.ch
]
admin_contact_regexes = [
"Administrative Contact:\n (?P<name>.+)\n (?P<street1>.+)\n(?: (?P<street2>.*)\n)?(?: (?P<street3>.*)\n)? (?P<postalcode>.+), (?P<city>.+)\n (?P<country>.+)\n (?P<phone>.+)\n (?P<email>.+)\n\n", # OVH
"Admin ID:(?P<handle>.+)\nAdmin Name:(?P<name>.*)\nAdmin Organization:(?P<organization>.*)\nAdmin Street1:(?P<street1>.*)\nAdmin Street2:(?P<street2>.*)\nAdmin Street3:(?P<street3>.*)\nAdmin City:(?P<city>.*)\nAdmin State/Province:(?P<state>.*)\nAdmin Postal Code:(?P<postalcode>.*)\nAdmin Country:(?P<country>.*)\nAdmin Phone:(?P<phone>.*)\nAdmin Phone Ext.:(?P<phone_ext>.*)\nAdmin FAX:(?P<fax>.*)\nAdmin FAX Ext.:(?P<fax_ext>.*)\nAdmin Email:(?P<email>.*)", # Public Interest Registry (.org)
"Administrative Contact ID:\s*(?P<handle>.+)\nAdministrative Contact Name:\s*(?P<name>.+)\nAdministrative Contact Organization:\s*(?P<organization>.*)\nAdministrative Contact Address1:\s*(?P<street1>.+)\nAdministrative Contact Address2:\s*(?P<street2>.*)\nAdministrative Contact City:\s*(?P<city>.+)\nAdministrative Contact State/Province:\s*(?P<state>.+)\nAdministrative Contact Postal Code:\s*(?P<postalcode>.+)\nAdministrative Contact Country:\s*(?P<country>.+)\nAdministrative Contact Country Code:\s*(?P<country_code>.+)\nAdministrative Contact Phone Number:\s*(?P<phone>.+)\nAdministrative Contact Email:\s*(?P<email>.+)\n", # .CO Internet
"Admin Contact: (?P<handle>.+)\nAdmin Organization: (?P<organization>.+)\nAdmin Name: (?P<name>.+)\nAdmin Street: (?P<street>.+)\nAdmin City: (?P<city>.+)\nAdmin State: (?P<state>.+)\nAdmin Postal Code: (?P<postalcode>.+)\nAdmin Country: (?P<country>.+)\nAdmin Phone: (?P<phone>.*)\nAdmin Phone Ext: (?P<phone_ext>.*)\nAdmin Fax: (?P<fax>.*)\nAdmin Fax Ext: (?P<fax_ext>.*)\nAdmin Email: (?P<email>.*)\n", # Key-Systems GmbH
"Admin Name: (?P<name>.+)\nAdmin Organization: (?P<organization>.*)\nAdmin Street: (?P<street1>.+)\n(?:Admin Street: (?P<street2>.+)\n)?Admin City: (?P<city>.+)\nAdmin State\/Province: (?P<state>.+)\nAdmin Postal Code: (?P<postalcode>.+)\nAdmin Country: (?P<country>.+)\n(?:Admin Phone: (?P<phone>.+)\n)?(?:Admin Phone Ext: (?P<phone_ext>.*)\n)?(?:Admin Fax: (?P<fax>.+)\n)?(?:Admin Fax Ext: (?P<fax_ext>.*)\n)?(?:Admin Email: (?P<email>.+)\n)?", # WildWestDomains, GoDaddy, Namecheap
"Administrative Contact\n (?P<name>.+)\n Email:(?P<email>.+)\n (?P<street1>.+)\n(?: (?P<street2>.+)\n)? (?P<postalcode>.+) (?P<city>.+)\n (?P<country>.+)\n Tel: (?P<phone>.+)\n\n", # internet.bs
]
billing_contact_regexes = [
"Billing Contact ID:\s*(?P<handle>.+)\nBilling Contact Name:\s*(?P<name>.+)\nBilling Contact Organization:\s*(?P<organization>.*)\nBilling Contact Address1:\s*(?P<street1>.+)\nBilling Contact Address2:\s*(?P<street2>.*)\nBilling Contact City:\s*(?P<city>.+)\nBilling Contact State/Province:\s*(?P<state>.+)\nBilling Contact Postal Code:\s*(?P<postalcode>.+)\nBilling Contact Country:\s*(?P<country>.+)\nBilling Contact Country Code:\s*(?P<country_code>.+)\nBilling Contact Phone Number:\s*(?P<phone>.+)\nBilling Contact Email:\s*(?P<email>.+)\n", # .CO Internet
"Billing Contact: (?P<handle>.+)\nBilling Organization: (?P<organization>.+)\nBilling Name: (?P<name>.+)\nBilling Street: (?P<street>.+)\nBilling City: (?P<city>.+)\nBilling Postal Code: (?P<postalcode>.+)\nBilling State: (?P<state>.+)\nBilling Country: (?P<country>.+)\nBilling Phone: (?P<phone>.*)\nBilling Phone Ext: (?P<phone_ext>.*)\nBilling Fax: (?P<fax>.*)\nBilling Fax Ext: (?P<fax_ext>.*)\nBilling Email: (?P<email>.*)\n", # Key-Systems GmbH
"Billing Contact:\n (?P<name>.+)\n (?P<street1>.+)\n(?: (?P<street2>.*)\n)?(?: (?P<street3>.*)\n)? (?P<postalcode>.+), (?P<city>.+)\n (?P<country>.+)\n (?P<phone>.+)\n (?P<email>.+)\n\n", # OVH
]
# Some registries use NIC handle references instead of directly listing contacts...
nic_contact_regexes = [
"personname:\s*(?P<name>.+)\norganization:\s*(?P<organization>.+)\nstreet address:\s*(?P<street>.+)\npostal code:\s*(?P<postalcode>.+)\ncity:\s*(?P<city>.+)\ncountry:\s*(?P<country>.+)\nphone:\s*(?P<phone>.+)\nfax-no:\s*(?P<fax>.+)\ne-mail:\s*(?P<email>.+)\nnic-hdl:\s*(?P<handle>.+)\nchanged:\s*(?P<changedate>.+)", # nic.at
"nic-hdl:\s*(?P<handle>.+)\ntype:\s*(?P<type>.+)\ncontact:\s*(?P<name>.+)\n(?:.+\n)*?(?:address:\s*(?P<street1>.+)\naddress:\s*(?P<street2>.+)\naddress:\s*(?P<street3>.+)\naddress:\s*(?P<country>.+)\n)?(?:phone:\s*(?P<phone>.+)\n)?(?:fax-no:\s*(?P<fax>.+)\n)?(?:.+\n)*?(?:e-mail:\s*(?P<email>.+)\n)?(?:.+\n)*?changed:\s*(?P<changedate>[0-9]{2}\/[0-9]{2}\/[0-9]{4}).*\n", # AFNIC madness without country field
"nic-hdl:\s*(?P<handle>.+)\ntype:\s*(?P<type>.+)\ncontact:\s*(?P<name>.+)\n(?:.+\n)*?(?:address:\s*(?P<street1>.+)\n)?(?:address:\s*(?P<street2>.+)\n)?(?:address:\s*(?P<street3>.+)\n)?(?:phone:\s*(?P<phone>.+)\n)?(?:fax-no:\s*(?P<fax>.+)\n)?(?:.+\n)*?(?:e-mail:\s*(?P<email>.+)\n)?(?:.+\n)*?changed:\s*(?P<changedate>[0-9]{2}\/[0-9]{2}\/[0-9]{4}).*\n", # AFNIC madness any country -at all-
"nic-hdl:\s*(?P<handle>.+)\ntype:\s*(?P<type>.+)\ncontact:\s*(?P<name>.+)\n(?:.+\n)*?(?:address:\s*(?P<street1>.+)\n)?(?:address:\s*(?P<street2>.+)\n)?(?:address:\s*(?P<street3>.+)\n)?(?:address:\s*(?P<street4>.+)\n)?country:\s*(?P<country>.+)\n(?:phone:\s*(?P<phone>.+)\n)?(?:fax-no:\s*(?P<fax>.+)\n)?(?:.+\n)*?(?:e-mail:\s*(?P<email>.+)\n)?(?:.+\n)*?changed:\s*(?P<changedate>[0-9]{2}\/[0-9]{2}\/[0-9]{4}).*\n", # AFNIC madness with country field
]
nic_contact_references = {
"registrant": [
"registrant:\s*(?P<handle>.+)", # nic.at
"holder-c:\s*(?P<handle>.+)", # AFNIC
],
"tech": [
"tech-c:\s*(?P<handle>.+)", # nic.at, AFNIC
],
"admin": [
"admin-c:\s*(?P<handle>.+)", # nic.at, AFNIC
],
}
for regex in registrant_regexes:
for segment in data:
match = re.search(regex, segment)
if match is not None:
registrant = match.groupdict()
break
for regex in tech_contact_regexes:
for segment in data:
match = re.search(regex, segment)
if match is not None:
tech_contact = match.groupdict()
break
for regex in admin_contact_regexes:
for segment in data:
match = re.search(regex, segment)
if match is not None:
admin_contact = match.groupdict()
break
for regex in billing_contact_regexes:
for segment in data:
match = re.search(regex, segment)
if match is not None:
billing_contact = match.groupdict()
break
# Find NIC handle contact definitions
handle_contacts = []
for regex in nic_contact_regexes:
for segment in data:
matches = re.finditer(regex, segment)
for match in matches:
handle_contacts.append(match.groupdict())
# Find NIC handle references and process them
for category in nic_contact_references:
for regex in nic_contact_references[category]:
for segment in data:
match = re.search(regex, segment)
if match is not None:
data_reference = match.groupdict()
for contact in handle_contacts:
if contact["handle"] == data_reference["handle"]:
data_reference.update(contact)
if category == "registrant":
registrant = data_reference
elif category == "tech":
tech_contact = data_reference
elif category == "billing":
billing_contact = data_reference
elif category == "admin":
admin_contact = data_reference
break
# Post-processing
for obj in (registrant, tech_contact, billing_contact, admin_contact):
if obj is not None:
for key in obj.keys():
#obj[key] = obj[key].strip("\r")
if obj[key] is None or obj[key] == "":
del obj[key]
if "phone_ext" in obj:
if "phone" in obj:
obj["phone"] += "ext. %s" % obj["phone_ext"]
del obj["phone_ext"]
if "street1" in obj:
street_items = []
i = 1
while True:
try:
street_items.append(obj["street%d" % i])
del obj["street%d" % i]
except KeyError, e:
break
i += 1
obj["street"] = "\n".join(street_items)
if 'changedate' in obj:
obj['changedate'] = parse_dates([obj['changedate']])[0]
if 'street' in obj and "\n" in obj["street"] and 'postalcode' not in obj:
# Deal with certain mad WHOIS servers that don't properly delimit address data... (yes, AFNIC, looking at you)
lines = [x.strip() for x in obj["street"].splitlines()]
if " " in lines[-1]:
postal_code, city = lines[-1].split(" ", 1)
obj["postalcode"] = postal_code
obj["city"] = city
obj["street"] = "\n".join(lines[:-1])
return {
"registrant": registrant,
"tech": tech_contact,
"admin": admin_contact,
"billing": billing_contact,
}