A Python library to provide functions to handle, parse and validate standard numbers.
Home Page: https://arthurdejong.org/python-stdnum/
License: GNU Lesser General Public License v2.1
The new version has problem with the example IBAN:
https://www.ecbs.org/iban/belgium-bank-account-number.html
shows:
IBAN print format example | BE68 5390 0754 7034
Here is an example in ipython:
In [1]: import stdnum
In [2]: print (stdnum.__version__)
1.9
In [3]: from stdnum.be.iban import validate
In [4]: validate('BE68 5390 0754 7034')
---------------------------------------------------------------------------
InvalidComponent Traceback (most recent call last)
<ipython-input-....> in <module>()
----> 1 validate('BE68 5390 0754 7034')
/..../python-stdnum/stdnum/be/iban.pyc in validate(number)
88 raise InvalidChecksum()
89 if not info(number):
---> 90 raise InvalidComponent()
91 return number
92
InvalidComponent: One of the parts of the number are invalid or unknown.
JPN has change these urls (Currently will redirect to 404 page.):
state_list_url = 'http://www.jpn.gov.my/en/informasi/states-code'
country_list_url = 'http://www.jpn.gov.my/en/informasi/country-code'
to:
http://www.jpn.gov.my/en/informasi/kod-negara/
http://www.jpn.gov.my/informasi/kod-negeri/
CBU it s a code of the Banks of Argentina to identify the accounts of their clients.
More information:
https://es.wikipedia.org/wiki/Clave_Bancaria_Uniforme
php library that validate cbu:
https://github.com/pablorsk/cbu-validator-php
js library that validate cbu:
https://gist.github.com/delucas/4526176
Hello,
We are facing an issue with the validation of the following TIN numbers: FR40000066034, FR26000040583, FR28000113851 (more to be found at http://www.monaco-directory.com/)...
The number starts with FR, but is for a company in Monaco. You might already know the Monaco uses the French TIN structure.
Note that these numbers are valid according to VIES: http://ec.europa.eu/taxation_customs/vies/
However, the 9 last digits (SIREN number in France) do not pass the Luhn validity check. There doesn't seem to be any issue with the algorithm implemented in stdnum, since other external services don't validate this number either.
At this point, we couldn't find any resource specifying that this number should not verify the Luhn algorithm, the only known exception being La Poste (https://fr.wikipedia.org/wiki/Formule_de_Luhn#Cas_particulier). However, my hypothesis is that it is not the case for Monaco (at least for recent numbers).
Have you heard about this issue before?
Thanks
This document details how the validation algorithm works: https://dgi.mef.gob.pa/N-prensa/Calculo_DV_RUC_20180523.pdf (This was found in https://dgi.mef.gob.pa/Registro.html )
Algorithm:
Video explaning how to get verification digit for a RUC: https://www.youtube.com/watch?v=KDEpYiXpT64 For example for querying a company with RUC 1870951-1-1751 and DV 18 enter 1870951 as "Rollo/Tomo", 1 as "Folio/Imagen" and 1751 as "Asiento/Ficha" and will give you 18 to be the DV.
Regarding the format the DV is always 2 digits.
Regarding RUC the limitation is 20 digits. There are two RUC numbers: regular RUC and the NT numbers.
Examples (DV stands for "Digito Verificador", "Verifying Digit")
Lots of examples from https://dgi.mef.gob.pa/itbms/Pdf-Retencion/LISTADO%20DE%20AGENTES%20DE%20RETENCION%20DEL%20ITBMS%20(GRANDES%20COMPRADORES)%202022.pdf (attached here just in case it disappears
LISTADO DE AGENTES DE RETENCION DEL ITBMS (GRANDES COMPRADORES) 2022.pdf)
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More examples https://www.presidencia.gob.pa/tmp/file/933/Informe-de-RendicinEn-de-Cuentas.pdf (attached here as well
Informe-de-RendicinEn-de-Cuentas.pdf
) (copied here only a few examples that could be extracted using pdftotext)
1570395-1-660585 D.V. 97
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545-496-119585 D.V. 22
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64661-15-358683 D.V.40
638-187-127806 D.V.27
786-80-137748 D.V.6
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1063-413-110270 D.V.87
30240-120-237860 D.V.59
673-355-132637 D.V.40
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8610-1-365164 D.V.86
155660896-2-2018 D.V.6
1991429-1-738739 D.V. 31
541-81-118009 D.V. 6
347621-1-417123 D.V. 58
2464567-1-814023 D.V.2
1305567-1-606868 D.V. 69
85253-1-376213 D.V. 18
2064-63-38048 D.V. 0
2619425-1-836501 D.V. 76
1848547-1-713252 D.V. 8
822226-1-500338 D.V. 30
652-212-129962 D.V. 35
434-15-93796 D.V. 22
32812-2-249262 D.V. 63
356-19-77860 D.V. 12
1848547-1-713252 D.V. 8
521347-1-438253 D.V.70
652-212-129962 D.V. 35
12561-16-124551 D.V.78
32812-2-249262 D.V. 63
356-19-77860 D.V. 12
155604680-2-2015 D.V.0
4360-163-58819 D.V.75
417-139-92433 D.V. 72
2064-63-38048 D.V. 0
20435-57-185073 D.V. 60
85253 -1-376213 D.V. 18
49511-149--315269 D.V.75
1513069-1-650069 D.V. 09
652-212-129952 D.V.35
572-395-119290 D.V. 30
155593964-2-2015 D.V.09
105765-1-379278 D.V. 60
1905219-1-723464 D.V.56
822226-1-500338 D.V.30
946321-1-524832 D.V. 04
155599780-2-2015 D.V. 43
533-555-116945 D.V. 40
32812-2-249262 D.V. 63
Even more examples (not all of them with DV) on http://www.momentofiscal.com/images/DGI%20ENERO%202016%20AVISONOTIFICACIONES.pdf (attached
DGI ENERO 2016 AVISONOTIFICACIONES.pdf
)
Examples from https://www.gacetaoficial.gob.pa/pdfTemp/29103/80611.pdf (attached here as well
80611.pdf
)
More examples in https://www.superseguros.gob.pa/wp-content/uploads/2019/09/7.listado.pdf (attached
7.listado.pdf
)
1702824-1-690294 DV 47
30746-002-240130 DV 2
1984263-1-3575 DV 90
2117539-1-759645 DV 39
46004-187-302083 DV96
87524-6185 DV 09
994855-1-534959 DV 48
410-0018-001604 DV 26
1002259-1-536336 DV 18
1160940-1-53690 DV 21
8-212-1552 DV 30
247342-1-402582 DV 38
1644095-1-674293 DV 97
85253-1-376213 DV 18
8-NT-2-25024 DV 36
2110333-1-758424 DV 92
36101-76-262338 DV 11
2251567-0001-781630 DV 00
15419-167-148643 DV 42
PE-8-30 DV 23
8-23-711 DV 73
8-473-515 DV 70
8 NT-1-22684 DV 98
702-437-15272 DV 87
2196897-1-37015 DV 80
55462-2-333607 DV 81
155630598-2-2016 DV30
210-51-189871 DV 72
1776638-1-01044 DV 03
Plenty of examples in http://www.css.gob.pa/PROVEEDORES%20CSS.pdf
Examples from https://www.superseguros.gob.pa/images/files/comunicados/BBA_Corp/7.listado.pdf
Examples from https://www.superseguros.gob.pa/images/files/comunicados/BBA_Corp/6.listado.pdf
Other examples picked from the web:
More examples (not retrieved):
List with RUC numbers but without DV: http://www.bdo.com.pa/getmedia/059cdd11-c76c-43a1-8de1-f5993d6d5193/Boletin-1-Enero-2017-Agentes-de-Retencion.pdf.aspx?ext=.pdf&disposition=attachment
Another list with RUC numbers but without DV: https://dgi.mef.gob.pa/_7FacturaElectronica/Listadofe.php
Another list without DV: https://www.rbc.com.pa/images/banners/RBC/LEYES_DECRETOS_GACETAS/LISTADO%20DE%20MOROSOS%202.pdf
Hello, @arthurdejong !
There is some problem. I got a ABN number: 07100000000. In present algorithm in stdnum.au.abn I get exception like:
But when I verify number from Official Site, I get this one:
And it is confused.
The new sequence will have 11 positions instead of 19, and it will start with B instead of A or P
In theory, this should be as simple as changing https://github.com/arthurdejong/python-stdnum/blob/master/stdnum/do/ncf.py#L66 to:
def validate(number):
"""Check if the number provided is a valid NCF."""
number = compact(number)
if len(number) not in [19, 11]:
raise InvalidLength()
if number[0] not in 'ABP' or not number[1:].isdigit():
raise InvalidFormat()
if number[9:11] not in (
'01', '02', '03', '04', '11', '12', '13', '14', '15'):
raise InvalidComponent()
return numberThis is effective on May 1st, so this change should be live as soon as possible, as validations on their side already consider this new structure.
Hello,
Would it be possible to replace suds by a python 3 compatible SOAP library like: https://github.com/pysimplesoap/pysimplesoap
thanx
Not sure if you regard this as a bug or not.
When given input that:
input_string.isdigit())int(input_string))...a ValueError is raised instead of a stdnum.exceptions.ValidationError.
Example:
from stdnum import isbn
isbn.validate('978-9024538²70') # notice the superscript of 2 ('²')
I'm working on an implementation to automatically detect the right check let's say for a tax number check in alll current (and future) supported countries, given that I have knowledge of the country code.
I would do therefore
try:
import stdnum.COUNTRY_CODE
except:
pass
validated = stdnum.COUNTRY_CODE.vat.validate(foo)
While I can trust on existence of the vat attribute (or a corresponding alias) in some modules, I cannot in others like ca (not imported in __init__.py). This reduces the potentialization of stdnum in automated scripts. And I really don't want to go to the filesystem level in order to detect the presence of some implementation. 😉
It would be great to be able to ensure by convention at least presence of the following aliases:
vatpersonalbusinessWhat do you think?
Example with LV personal code:
In [27]: stdnum.lv.pvn.get_birth_date('200390-11718')
ValueError Traceback (most recent call last)
in ()
----> 1 stdnum.lv.pvn.get_birth_date('200390-11718')/.../lib/python2.7/site-packages/stdnum/lv/pvn.pyc in get_birth_date(number)
80 day = int(number[0:2])
81 month = int(number[2:4])
---> 82 year = int(number[4:6])
83 year += 1800 + int(number[6]) * 100
84 try:ValueError: invalid literal for int() with base 10: '-'
The reason is '-'. Probably number = compact(number) can help if put it on 1st line in this function to replace '-'.
Or steal it from Odoo: https://github.com/odoo/odoo/blob/master/addons/base_vat/models/res_partner.py#L351-L392
Other resources:
Implementations in another programming languages:
Some kind of Python 3 support would be nice, since its already widely used.
In [1]: from stdnum.eu import vat
In [2]: vat.check_vies("FI 2297826-1")
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-2-a5ad14006baf> in <module>()
----> 1 vat.check_vies("FI 2297826-1")
/home/jrasanen/development/envs/canny33/src/python-stdnum/stdnum/eu/vat.py in check_vies(number)
126 if not _vies_client:
127 from suds.client import Client
--> 128 from urllib import getproxies
129 _vies_client = Client(vies_wsdl, proxy=getproxies())
130 return _vies_client.service.checkVat(number[:2], number[2:])
ImportError: cannot import name getproxies
New wiki url: http://en.wikipedia.org/w/index.php?title=Mobile_country_code&action=raw And itu.int url does not exist.
Thank you for your application. You save my time. ;-)
The iban module returns 'BE41091811735141' as a valid iban, whilst it is not, because it does not have a valid account number check (Using https://www.ibancalculator.com/iban_validieren.html as validator shows the error)
Here is a psuedo-code representation of how an account number should be checked:
Belgian IBAN number: BEkk BBBC CCCC CCxx (16 characters)
k = check digit for the entire IBAN
B = bank code
C = Account Number
x = check digit for the Account Number
Example: BE68 5390 0754 7034
ISO Country Code = BE (Belgium)
IBAN Check Digits = 68
BBAN = 5390 0754 7034 -> 12 characters, the usual BBAN format = 999-9999999-99
Bank Identifier = 539
Account Number = 0075470
Account Number check digits = 34 -> 2 digits MOD97
Check algorithm which is applied on the account number
The entered check digit (CD1) is the last two digits of the Account Number.
The calculated check digit (CD2) is derived by concatenating the first two sections of the Account Number and calculating the remainder on dividing this by 97. If the remainder is equal to '0', then the calculated check digit is taken to be '97'.
If the entered check digit (CD1) and calculated check digit (CD2) are equal, then the Account Number is valid, else the check has failed.
Additionally, if the entered check digit (that is, the last section) is '00', then the Account Number is invalid because the calculated check digit can never be '00' as per the 3rd point.
Example using Account Number '123-4567890-78':
The entered check digit (CD1) is '78'.
The concatenation of the first two sections gives '1234567890'.
Divide the result by '97'.
1234567890 / 97 = 12727504
Derive the remainder.
1234567890 - (12727504 * 97) = 2
Therefore CD2 = 2.
Here CD1 <> CD2, therefore the Account Number is not valid.
In this case, a valid Account Number would be '123-4567890-02'.
Suppose that we are given a random number and don't know the format. It would be nice if we could try every validate() function in turn, to provide heuristics for what kind of number we're looking at.
Apparently Belgian (and maybe also other country's) IBAN numbers should not end in 00.
Example: BE54310100270000
But should actually BE54310100270097
According to https://www.ibancalculator.com/iban_validieren.html the IBAN ending in 00 is invalid and 97 is valid.
Online search:
Examples:
214-87-98889
617-86-11575
114-86-00579
221-83-01195
220-87-57205
116-82-00276
615-82-11718
220-82-05060
129-81-16573
119-86-79111
134-86-72683
206-18-12345
148-05-00404
209-82-06382
124-86-85333
383-37-00143
321-81-00982
113-02-43949
113-86-21886
133-81-32077
220-87-18070
116-82-00276
128-81-63302
375-10-00859
311-81-22413
305-81-38564
193-86-00010
220-81-66148
221-81-32210
113-85-26486
312-12-25168
119-87-08063
156-23-00883
649-82-00117
503-86-09407
122-81-62455
504-81-85233
514-81-68599
130-81-92528
680-87-00210
279-81-01263
134-86-24634
409-86-33769
135-81-06333
133-81-40621
134-86-44004
615-86-09068
374-81-01516
106-82-07200
231-81-02896
128-39-49844
682-85-00885
639-86-00985
183-98-00113
119-02-43947
133-81-29441
415-06-83258
114-86-61464
130-86-79710
110-12-39727
533-85-00526
135-09-24640
301-82-62166
766-88-00563
621-15-41743
515-81-10315
214-87-78980
609-81-99124
303-82-07378
109-81-33637
314-86-53230
110-14-16596
138-81-44092
141-81-18585
219-01-39810
308-81-41001
616-24-46281
130-86-89294
201-81-54845
884-17-01026
156-23-00883
202-81-42420
760-06-00079
312-81-95317
120-81-57465
120-86-39706
515-07-68272
301-81-14992
201-81-76228
417-85-07912
130-81-92528
402-82-15272
169-86-00394
410-25-53731
735-85-00501
515-04-62016
131-86-40843
632-11-01006
140-81-67744
204-06-91556
112-81-30811
201-86-25781
317-81-04543
305-81-70638
128-02-41206
312-30-06675
105-17-41513
410-86-53770
132-81-38608
121-81-25326
119-82-08146
606-81-54507
610-81-04971
568-41-00305
314-86-00956
114-86-00579
107-82-09351
113-86-60856
314-81-25684
124-86-65341
616-25-12643
110-12-39727
109-81-62393
301-81-91475
121-81-78347
504-85-11802
130-47-17700
402-82-15272
416-81-48042
314-86-42432
119-19-96781
314-86-63209
214-88-49333
219-01-39810
303-81-44911
303-12-73313
301-86-12266
410-25-53731
143-81-10463
124-86-13144
118-81-09714
306-81-22629
603-81-24270
610-09-84339
606-86-06989
348-13-00692
201-81-99798
224-81-41168
113-81-92367
582-90-00497
375-88-00519
580-21-00836
110-81-07390
515-05-32580
138-81-03499
533-87-01306
305-81-87876
121-81-42209
275-87-01259
669-81-00996
137-86-39058
214-11-58465
135-29-80067
415-82-11025
501-26-78904
214-87-99743
129-86-38970
506-82-06755
102-81-03525
1208200052
131-82-00372
314-82-01980
420-87-00883
144-81-25090
782-86-00130
113-86-46500
364-81-00669
114-86-04968
214-81-04230
415-81-19511
124-81-79802
602-81-66559
109-81-39795
220-88-88699
215-87-86862
105-86-61489
107-87-70962
114-81-44645
317 - 81 - 11175
129-81-85385
130-86-35857
816-81-00840
117-81-77714
217-81-14493
220 88 69974
104-81-25258
306-82-00417
280-86-01410
209-82-05326
201-85-17396
220-81-83676
129-86-39907
318-81-02096
107-87-13471
206-86-50913
220-81-83676
208-81-24115
132-86-04520
728-86-00316
113-86-38602
129-81-23356
114-82-62150
110-84-02173
104-84-03406
110-81-05034
119-82-63265
222-81-03192
101-82-13065
515-81-40648
104-81-36565
394-92-00410
205-81-26341
102-81-42945
134-81-06679
128-81-77295
202-81-04367
138-81-44277
809-81-01574
214-88-51159
220-87-18070
410-82-83844
119-86-44529
110-81-40725
187-82-00055
398-85-00113
127-11-87351
211-86-23306
211-87-67960
204-86-46427
102-81-42945
108-19-83613
211-86-08983
102-81-42945
211-86-39754
110-81-05034
129-81-30691
220-88-75699
The Mexican RFC check digit is being miscalculated when it should be an "A".
The example to check that is: "MAHM670102NJA".
From the document that is in the comments:
"Si el residuo es igual a 10 el dígito verificador será “ A”."
If the remainder equals 10, then the check digit is an "A".
But the function that calculates the check digit returns "1".
Doing:
from stdnum.do import cedula, ncf, rnc
ncf.check_dgii('101566332','A010010010100000001')Throws:
Traceback (most recent call last):
File "C:\Users\gvalv\rnc-cedula.py", line 3, in <module>
ncf.check_dgii('101566332','A010010010100000001')
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\site-packages\stdnum\do\ncf.py", line 132, in check_dgii
return _convert_result(result)
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\site-packages\stdnum\do\ncf.py", line 99, in _convert_result
for key, value in json.loads(result.replace('\t', '\\t')).items())
AttributeError: 'dict' object has no attribute 'replace'Hi, first of all thanks for maintaining an invaluable library that is underappreciated.
The problem I'm having is with the VAT number CZ 682127228, which stdnum reports as invalid but VIES says is OK, and even returns info about its registrant. Curiously, the number used as an example of the special case in the documentation ("640903926") is considered invalid by VIES.
Unfortunately, I was unable to find the official formula for verifying Czech VAT numbers.
i'm using the following code:
from stdnum.eu import vat
print vat.check_vies('FR 75483487112')
and get the following error:
raceback (most recent call last):
File "t.py", line 2, in <module>
print vat.check_vies('FR 75483487112')
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/stdnum/eu/vat.py", line 144, in check_vies
return _get_client().checkVat(number[:2], number[2:])
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/stdnum/eu/vat.py", line 128, in _get_client
_vies_client = Client(vies_wsdl, proxy=getproxies()).service
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/client.py", line 112, in __init__
self.wsdl = reader.open(url)
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/reader.py", line 152, in open
d = self.fn(url, self.options)
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/wsdl.py", line 136, in __init__
d = reader.open(url)
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/reader.py", line 79, in open
d = self.download(url)
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/reader.py", line 101, in download
return sax.parse(string=content)
File "/Users/sebest/.virtualenvs/pxlapi/lib/python2.7/site-packages/suds/sax/parser.py", line 136, in parse
sax.parse(source)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/sax/expatreader.py", line 110, in parse
xmlreader.IncrementalParser.parse(self, source)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/sax/xmlreader.py", line 123, in parse
self.feed(buffer)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/sax/expatreader.py", line 217, in feed
self._err_handler.fatalError(exc)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/xml/sax/handler.py", line 38, in fatalError
raise exception
xml.sax._exceptions.SAXParseException: <unknown>:21:6: mismatched tag
Please, support looking up vendor and model for USB ID. These can be found at http://www.linux-usb.org/ The data can be retrieved via an API or included in the package. Note that most POSIX systems have this data already available in e.g. /usr/share/misc/usb.ids
The webservice of the DGII not just validates RNC, but also the Cedula, and this is needed to get the information from persons that also have fiscal identifications with the regulator.
$ pip install python-stdnum
Collecting python-stdnum
Downloading python-stdnum-1.8.tar.gz (421kB)
100% |████████████████████████████████| 430kB 640kB/s
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\a\AppData\Local\Temp\pip-build-ziqc4_ov\python-stdnum\setup.py", line 38, in <module>
long_description = fp.read()
File "c:\users\a\appdata\local\programs\python\python36\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 967: character maps to <undefined>
----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in C:\Users\a\AppData\Local\Temp\pip-build-ziqc4_ov\python-stdnum\
Hi.
What would need to be done to get functions to verify Norwegian bank account numbers into stdnum? https://www.ecbs.org/iban/norway-bank-account-number.html and https://metacpan.org/source/GAAS/Norge-1.08/No/KontoNr.pm have details on how to verify them.
According to this page [1], there are some new VAT numbers.
[1] https://en.wikipedia.org/wiki/Value_added_tax_identification_number
stdnum.numdb.get('imsi').split('502152100145324')
['502', '15', '100145324']
Traceback (most recent call last):
File "C:\Users\gvalv\rnc-cedula.py", line 3, in <module>
rnc.check_dgii('131566332')
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\site-packages\stdnum\do\rnc.py", line 149, in check_dgii
return _convert_result(result)
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\site-packages\stdnum\do\rnc.py", line 115, in _convert_result
for key, value in json.loads(result.replace('\t', '\\t')).items())
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\json\__init__.py", line 354, in loads
return _default_decoder.decode(s)
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\json\decoder.py", line 339, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "C:\Users\gvalv\AppData\Local\Programs\Python\Python36-32\lib\json\decoder.py", line 355, in raw_decode
obj, end = self.scan_once(s, idx)
json.decoder.JSONDecodeError: Expecting property name enclosed in double quotes: line 1 column 2 (char 1)
Hi. Would it be interesting to add code to validate bitcoin addresses in this library? It would be useful when asking users to provide a bitcoin address in a web application.
I do not know how to properly validate them myself, but see that valid length of a BTC is 26 to 35 characters, according to https://en.bitcoin.it/wiki/Address, while https://github.com/bitcoin/bips/blob/master/bip-0173.mediawiki#Reference_implementations shows 42 character long addresses. A complicating factor is Lightning addresses explained in https://github.com/lightningnetwork/lightning-rfc/blob/master/11-payment-encoding.md .
Hi,
Do you think that for Argentina we could add validation for DNI?
DNI numbers are used to identify physical people in Argentina, but the only thing we have to validate is that there are no letters, and that the number has 7 or 8 digits at least.
Best
Support lookup of vendor and model for a mac address. Data is available under aaronjwood/PortAuthority#84 but best is to contact the author. He has made a FOSS collection, especially for these purposes. This service can be called via the API or can be included. Best to ask him.
Hello,
Do you think it would be possible to at VAT numbers of Venezuela. The validation in JS can be seen here: https://github.com/formvalidation/formvalidation/blob/master/src/js/validator/vat.js#L1378 and tested here: https://formvalidation.io/guide/validators/vat/venezuelan-vat-number/
At the moment I'm just using something similar to this:
def validate_ve_vat_number(number):
def compact(number):
number = clean(number, ' -').upper().strip()
if number.startswith('VE'):
number = number[2:]
return number
number = compact(number)
if number[0] not in 'VEJPG': #or not isdigits(number):
raise InvalidFormat()
if len(number) != 10:
raise InvalidLength()
company_type = {
'V': 4,
'E': 8,
'J': 12,
'P': 16,
'G': 20
}
base_sum = company_type[number[0]]
weights = (3, 2, 7, 6, 5, 4, 3, 2)
base_sum += sum(weights[i] * int(n)
for i, n in enumerate(number[1:9]))
base_sum = 11 - base_sum % 11
if base_sum == 11 or base_sum == 10:
base_sum = 0
if base_sum != int(number[9]):
raise InvalidChecksum()
return numberAnd some additional information for format is here: https://en.wikipedia.org/wiki/VAT_identification_number#VAT_numbers_of_Latin_American_countries
Validation:
Examples (some of them don't validate using Luhn, and there are repeated numbers):
01.001.634.3-093.000
76.310.346.2-601.000
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Hi Arthur,
Would you be open to adding a flag to the number to identify if they are a tax identifier for example or a bank identifier or just a number check? As well as an api to get a list of numbers that match a type?
Please, add related packages to documentation, such as:
SSN (personal) and EIN/TIN (corporate) are numbers issued by the U.S. federal government.
For business tax-exempt status (i.e., business that buys goods for resale) are also required to have a state tax-exempt number in order to purchase goods from suppliers and not pay state sales tax for resale goods.
First state California:
Nine digits plus hyphen between 3rd and 4th digits: NNN-NNNNNN
Caveat: Older ID's will be 8 digits - validate by prepending a leading 0: 0NN-NNNNNN
The next question is how to designate numbers as U.S. state issued numbers since the U.S. states do not follow EU style rules a la VAT, but I suspect that will be an issue for applications (i.e., Tryton) to verify.
import stdnum
stdnum.iban.validate("0001")
this produces the string "0001"
Please support looking up Dutch telephone numbers, see also:
If a validation is implemented for ISO 6346 [1] will it be of general interest to the project ? Will it be merged ?
For individuals / entities: The TIN is automatically issued by the GAZT (Saudi Arabian tax administration) only to individuals or entities that are subject to tax. No TIN is issued to non Saudi individuals who do not conduct a business as they are not subject to tax.
Format: The TIN consists of 10/15 digits
TIN - رقم التعريف الضريبي (Tax Identification Number).
Format:000000000000000. 15 digits (9 digits + 1 check digit + 5 digits)
Tax Identification Number (TIN): 15 digits. The first digit is for the number of country in the GCC. The next 8 digits are randomly generated for the registering entity. The 10th digit is a check digit. The next 3 digits are designated for the branches of the same entity. The last 2 digits are for the type of tax that is being collected (03 represents VAT).
Examples:
registered under Commercial Registration No. 7005515833
... and registered under Tax Identification Number 300015047800003
Could we assure string over unicode in get_cc_module()?
cc = u'co'
name = u'vat'
__import__('stdnum.%s' % cc, globals(), locals(), [name])
TypeError: Item in ``from list'' not a string
https://www.iban.com/structure
I would like to like to let users enter IBANs of experimental IBAN countries into my application too, or If a country doesn't use IBANs, let him use other formats. Currently, it's not possible to detect, whether entered IBAN is invalid, or the country is not implemented.
Perhaps it would be better to return new exception (InvalidCountry) when info[0][1].get('bban', '') returns nothing instead of raising InvalidFormat?
Hi, I'm from Dominican Republic.
I'm trying to understand the logic under this validation:
https://github.com/arthurdejong/python-stdnum/blob/master/stdnum/do/rnc.py#L53
As I'm getting 31,000 more exceptions in RNC validation using this logic, but I can't figure out what it's actually doing.
It seems that the regulator deprecated this validation from their SOAP WebService; now the only available method to do this validation is using this tool (manually):
http://www.dgii.gov.do/servicios/consultas/Paginas/ConsultaNCF.aspx
@arthurdejong If you could please have a look at this tool and let us know if it's possible to have this integrated into stdnum. This needs a different technique (scraping), which I don't know if it's under stdnum's approach to get information.
Let me know if this is possible.
Running about ubuntu 16.04, python 3.5, i get this warning:
/home/psk/.virtualenvs/tryton40/lib/python3.5/site-packages/stdnum/numdb.py:202:
ResourceWarning: unclosed file <_io.BufferedReader name='/home/psk/.virtualenvs/tryton40/lib/python3.5/site-packages/stdnum/iban.dat'>
db = read(reader(resource_stream(name, name + '.dat')))
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