Python port of Google's libphonenumber

Overview

phonenumbers Python Library

Coverage Status

This is a Python port of Google's libphonenumber library It supports Python 2.5-2.7 and Python 3.x (in the same codebase, with no 2to3 conversion needed).

Original Java code is Copyright (C) 2009-2015 The Libphonenumber Authors.

Release HISTORY, derived from upstream release notes.

Installation

Install using pip with:

pip install phonenumbers

Example Usage

The main object that the library deals with is a PhoneNumber object. You can create this from a string representing a phone number using the parse function, but you also need to specify the country that the phone number is being dialled from (unless the number is in E.164 format, which is globally unique).

>>> import phonenumbers
>>> x = phonenumbers.parse("+442083661177", None)
>>> print(x)
Country Code: 44 National Number: 2083661177 Leading Zero: False
>>> type(x)
<class 'phonenumbers.phonenumber.PhoneNumber'>
>>> y = phonenumbers.parse("020 8366 1177", "GB")
>>> print(y)
Country Code: 44 National Number: 2083661177 Leading Zero: False
>>> x == y
True
>>> z = phonenumbers.parse("00 1 650 253 2222", "GB")  # as dialled from GB, not a GB number
>>> print(z)
Country Code: 1 National Number: 6502532222 Leading Zero(s): False

The PhoneNumber object that parse produces typically still needs to be validated, to check whether it's a possible number (e.g. it has the right number of digits) or a valid number (e.g. it's in an assigned exchange).

>>> z = phonenumbers.parse("+120012301", None)
>>> print(z)
Country Code: 1 National Number: 20012301 Leading Zero: False
>>> phonenumbers.is_possible_number(z)  # too few digits for USA
False
>>> phonenumbers.is_valid_number(z)
False
>>> z = phonenumbers.parse("+12001230101", None)
>>> print(z)
Country Code: 1 National Number: 2001230101 Leading Zero: False
>>> phonenumbers.is_possible_number(z)
True
>>> phonenumbers.is_valid_number(z)  # NPA 200 not used
False

The parse function will also fail completely (with a NumberParseException) on inputs that cannot be uniquely parsed, or that can't possibly be phone numbers.

>>> z = phonenumbers.parse("02081234567", None)  # no region, no + => unparseable
Traceback (most recent call last):
  File "phonenumbers/phonenumberutil.py", line 2350, in parse
    "Missing or invalid default region.")
phonenumbers.phonenumberutil.NumberParseException: (0) Missing or invalid default region.
>>> z = phonenumbers.parse("gibberish", None)
Traceback (most recent call last):
  File "phonenumbers/phonenumberutil.py", line 2344, in parse
    "The string supplied did not seem to be a phone number.")
phonenumbers.phonenumberutil.NumberParseException: (1) The string supplied did not seem to be a phone number.

Once you've got a phone number, a common task is to format it in a standardized format. There are a few formats available (under PhoneNumberFormat), and the format_number function does the formatting.

>>> phonenumbers.format_number(x, phonenumbers.PhoneNumberFormat.NATIONAL)
'020 8366 1177'
>>> phonenumbers.format_number(x, phonenumbers.PhoneNumberFormat.INTERNATIONAL)
'+44 20 8366 1177'
>>> phonenumbers.format_number(x, phonenumbers.PhoneNumberFormat.E164)
'+442083661177'

If your application has a UI that allows the user to type in a phone number, it's nice to get the formatting applied as the user types. The AsYouTypeFormatter object allows this.

>>> formatter = phonenumbers.AsYouTypeFormatter("US")
>>> formatter.input_digit("6")
'6'
>>> formatter.input_digit("5")
'65'
>>> formatter.input_digit("0")
'650'
>>> formatter.input_digit("2")
'650 2'
>>> formatter.input_digit("5")
'650 25'
>>> formatter.input_digit("3")
'650 253'
>>> formatter.input_digit("2")
'650-2532'
>>> formatter.input_digit("2")
'(650) 253-22'
>>> formatter.input_digit("2")
'(650) 253-222'
>>> formatter.input_digit("2")
'(650) 253-2222'

Sometimes, you've got a larger block of text that may or may not have some phone numbers inside it. For this, the PhoneNumberMatcher object provides the relevant functionality; you can iterate over it to retrieve a sequence of PhoneNumberMatch objects. Each of these match objects holds a PhoneNumber object together with information about where the match occurred in the original string.

>>> text = "Call me at 510-748-8230 if it's before 9:30, or on 703-4800500 after 10am."
>>> for match in phonenumbers.PhoneNumberMatcher(text, "US"):
...     print(match)
...
PhoneNumberMatch [11,23) 510-748-8230
PhoneNumberMatch [51,62) 703-4800500
>>> for match in phonenumbers.PhoneNumberMatcher(text, "US"):
...     print(phonenumbers.format_number(match.number, phonenumbers.PhoneNumberFormat.E164))
...
+15107488230
+17034800500

You might want to get some information about the location that corresponds to a phone number. The geocoder.area_description_for_number does this, when possible.

>>> from phonenumbers import geocoder
>>> ch_number = phonenumbers.parse("0431234567", "CH")
>>> geocoder.description_for_number(ch_number, "de")
'Zürich'
>>> geocoder.description_for_number(ch_number, "en")
'Zurich'
>>> geocoder.description_for_number(ch_number, "fr")
'Zurich'
>>> geocoder.description_for_number(ch_number, "it")
'Zurigo'

For mobile numbers in some countries, you can also find out information about which carrier originally owned a phone number.

>>> from phonenumbers import carrier
>>> ro_number = phonenumbers.parse("+40721234567", "RO")
>>> carrier.name_for_number(ro_number, "en")
'Vodafone'

You might also be able to retrieve a list of time zone names that the number potentially belongs to.

>>> from phonenumbers import timezone
>>> gb_number = phonenumbers.parse("+447986123456", "GB")
>>> timezone.time_zones_for_number(gb_number)
('Atlantic/Reykjavik', 'Europe/London')

For more information about the other functionality available from the library, look in the unit tests or in the original libphonenumber project.

Memory Usage

The library includes a lot of metadata, potentially giving a significant memory overhead. There are two mechanisms for dealing with this.

  • The normal metadata for the core functionality of the library is loaded on-demand, on a region-by-region basis (i.e. the metadata for a region is only loaded on the first time it is needed).
  • Metadata for extended functionality is held in separate packages, which therefore need to be explicitly loaded separately. This affects:
    • The geocoding metadata, which is held in phonenumbers.geocoder and used by the geocoding functions (geocoder.description_for_number, geocoder.description_for_valid_number or geocoder.country_name_for_number).
    • The carrier metadata, which is held in phonenumbers.carrier and used by the mapping functions (carrier.name_for_number or carrier.name_for_valid_number).
    • The timezone metadata, which is held in phonenumbers.timezone and used by the timezone functions (time_zones_for_number or time_zones_for_geographical_number).

The phonenumberslite version of the library does not include the geocoder, carrier and timezone packages, which can be useful if you have problems installing the main phonenumbers library due to space/memory limitations.

If you need to ensure that the metadata memory use is accounted for at start of day (i.e. that a subsequent on-demand load of metadata will not cause a pause or memory exhaustion):

  • Force-load the normal metadata by calling phonenumbers.PhoneMetadata.load_all().
  • Force-load the extended metadata by importing the appropriate packages (phonenumbers.geocoder, phonenumbers.carrier, phonenumbers.timezone).

The phonenumberslite version of the package does not include the geocoding, carrier and timezone metadata, which can be useful if you have problems installing the main phonenumbers package due to space/memory limitations.

Project Layout

  • The python/ directory holds the Python code.
  • The resources/ directory is a copy of the resources/ directory from libphonenumber. This is not needed to run the Python code, but is needed when upstream changes to the master metadata need to be incorporated.
  • The tools/ directory holds the tools that are used to process upstream changes to the master metadata.
Owner
David Drysdale
David Drysdale
This repository contains scripts to control a RGB text fan attached to a Raspberry Pi.

RGB Text Fan Controller This repository contains scripts to control a RGB text fan attached to a Raspberry Pi. Setup The Raspberry Pi and RGB text fan

Luke Prior 1 Oct 01, 2021
Python character encoding detector

Chardet: The Universal Character Encoding Detector Detects ASCII, UTF-8, UTF-16 (2 variants), UTF-32 (4 variants) Big5, GB2312, EUC-TW, HZ-GB-2312, IS

Character Encoding Detector 1.8k Jan 08, 2023
text-to-speach bot - You really do NOT have time for read a newsletter? Now you can listen to it

NewsletterReader You really do NOT have time for read a newsletter? Now you can listen to it The Newsletter of Filipe Deschamps is a great place to re

ItanuRomero 8 Sep 18, 2021
Wordle strategy: Find frequency of letters appearing in 5-letter words in the English language

Find frequency of letters appearing in 5-letter words in the English language In

Gabriel Apolinário 1 Jan 17, 2022
This project aims to test check if your RegExp are being matched by grep.

Bash RegExp This project aims to test check if your RegExp are being matched by grep. It's a local server that starts on the port 8080. It runs the se

Quatrecentquatre 1 Feb 28, 2022
An online markdown resume template project, based on pywebio

An online markdown resume template project, based on pywebio

极简XksA 5 Nov 10, 2022
Wikipedia Reader for the GNOME Desktop

Wike Wike is a Wikipedia reader for the GNOME Desktop. Provides access to all the content of this online encyclopedia in a native application, with a

Hugo Olabera 126 Dec 24, 2022
Paranoid text spacing in Python

pangu.py Paranoid text spacing for good readability, to automatically insert whitespace between CJK (Chinese, Japanese, Korean) and half-width charact

Vinta Chen 194 Nov 19, 2022
Convert English text to IPA using the toPhonetic

Installation: Windows python -m pip install text2ipa macOS sudo pip3 install text2ipa Linux pip install text2ipa Features Convert English text to I

Joseph Quang 3 Jun 14, 2022
Athens: a great tool for taking notes and organising knowldge

AthensSyncer Athens is a great tool for taking notes and organising knowldge. But it is a bummer that you cannot use it accross multiple devices. Well

6 Dec 14, 2022
A slugifier that works in unicode

Unicode Slugify Unicode Slugify is a slugifier that generates unicode slugs. It was originally used in the Firefox Add-ons web site to generate slugs

Mozilla 315 Nov 21, 2022
You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.

You can encode and decode base85, ascii85, base64, base32, and base16 with this tool.

8 Dec 20, 2022
Widevine KEY Extractor in Python

Widevine Client 3 This was originally written by T3rry7f. This repo is slightly modified version of his repo. This only works on standard Windows! Usa

Vank0n (SJJeon) 68 Dec 29, 2022
Python Q&A for Network Engineers

Q & A I am often asked questions about how to solve this or that problem, and I decided to post these questions and solutions here, in case it is also

Natasha Samoylenko 30 Nov 15, 2022
WorldCloud Orçamento de Estado 2022

World Cloud Orçamento de Estado 2022 What it does This script creates a worldcloud, masked on a image, from a txt file How to run it? Install all libr

Jorge Gomes 2 Oct 12, 2021
Fuzz a language by mixing up only few words.

afasi Fuzz a language by mixing up only few words. Status Beta. Note: The default branch is default. Use Examples Version General Help Translate Help

Stefan Hagen 2 Dec 14, 2022
strbind - lapidary text converter for translate an text file to the C-style string

strbind strbind - lapidary text converter for translate an text file to the C-style string. My motivation is fast adding large text chunks to the C co

Mihail Zaytsev 1 Oct 22, 2021
Extract price amount and currency symbol from a raw text string

price-parser is a small library for extracting price and currency from raw text strings.

Scrapinghub 252 Dec 31, 2022
Python tool to make adding to your armory spreadsheet armory less of a pain.

Python tool to make adding to your armory spreadsheet armory slightly less of a pain by creating a CSV to simply copy and paste.

1 Oct 20, 2021
Vector space based Information Retrieval System for Text Processing - Information retrieval

Information Retrieval: Text Processing Group 13 Sequence of operations Install Requirements Add given wikipedia files to the corpus directory. Downloa

1 Jan 01, 2022