phoney 0.3.1

A fake information generator for creating realistic personal data including names, phone numbers, emails, and more.

🌐 Phoney - Realistic Fake Data Generator

Generate locale-aware fake personal data for testing, development, and anonymization. Perfect for populating databases and creating test users.

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🆕 What’s new in 0.3.1

• Resume/CV generator massively expanded: address, postal code, tools and soft skills, measurable project outcomes, volunteer work, publications, awards, references, languages with proficiency, education GPA/coursework, and richer text output.

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🆕 What’s new in 0.3.0

• New identifiers: IMEI, VIN, EAN-13, UPC-A, ISBN-13
• Resume/CV generator: assemble person + career + skills + employment history into a structured CV dict or formatted text
• All identifier generators are importable directly:
  • from phoney import generate_imei, generate_vin, generate_ean13, generate_upca, generate_isbn13
• The Phoney class exposes both explicit and generate_* convenience methods:
  • p.imei(), p.vin(), p.ean13(), p.upca(), p.isbn13()
  • p.generate_imei(), p.generate_vin(), p.generate_ean13(), ...
• Internet module hardened:
  • Locale/country-aware IPv4/IPv6 with regional fallbacks; canonical IPv6 formatting
  • TLD preferences per-country; robust domain/hostname/url builders
• Career module: job titles, salary ranges (by locale), skills, employment history
• CLI: phoney-build-prefixes to generate per-country IPv4/IPv6 prefix files from RIR datasets
• Packaging cleanup and Python >= 3.10

Quick test after install:

from phoney import generate_imei, Phoney
print(generate_imei())
p = Phoney()
print(p.imei())
print(p.generate_imei())
print(p.resume(format='text')[:120])

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✨ Features

• 50+ locales including en_US, fr_FR, ja_JP, de_DE, and more
• Complete profiles with names, emails, phones, birthdates, and online presence
• Gender-specific name generation
• Usernames, passwords, UUIDs, user agents, and social handles
• Financial data (credit card, IBAN, BIC, etc.)
• Zero dependencies — lightweight and fast

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📦 Installation

pip install phoney

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🚀 Basic Usage

from phoney import Phoney

phoney = Phoney()

# Individual data
print(phoney.first_name(locale="it_IT"))  # → "Marco"
print(phoney.phone(locale="ja_JP"))       # → "[phone]"
print(phoney.email(first_name="Anna", last_name="Rossi", locale="it_IT"))

# Complete profile
profile = phoney.profile(locale="es_ES")
print(profile)

# Online presence
print(phoney.username("John", "Smith"))
print(phoney.password())
print(phoney.social_handle("John", "Smith", "twitter"))
print(phoney.online_presence("John", "Smith"))

# User agent and UUID
print(phoney.user_agent())
print(phoney.uuid())

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📚 High-Level API: Phoney Class

Method	Description
first_name()	Generate first name (optionally by gender/locale)
last_name()	Generate last name (optionally by gender/locale)
full_name()	Generate full name
gender()	Generate gender
phone()	Generate phone number for locale
email()	Generate email address
age()	Generate random age
birthdate()	Generate random birthdate
profile()	Generate complete profile (see below)
user_agent()	Generate browser user agent string
uuid()	Generate UUID (v1, v3, v4, v5)
username()	Generate username from names
password()	Generate secure password
social_handle()	Generate social media handle for a platform
online_presence()	Generate dict of username, password, and social handles
tld(locale=None)	Generate a TLD with locale bias (e.g., GB → co.uk, JP → .jp)
domain(tld=None, locale=None)	Generate a domain name honoring locale/TLD
hostname(domain=None, locale=None)	Generate a hostname + domain
url(scheme='https', domain=None, path_segments=None, query_params=None, locale=None)	Generate a URL
ipv4(country=None, locale=None)	Generate a public-looking IPv4; country/locale-aware
ipv6(global_unicast=True, country=None, locale=None)	Generate a valid IPv6; country/locale-aware
mac()	Generate a locally-administered unicast MAC
`resume(locale=None, family=None, years=8, format='dict	text')`

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🧩 Profile Structure

{
  'first_name': 'Sophie',
  'last_name': 'Martin',
  'gender': 'female',
  'age': 34,
  'birthdate': datetime.date(1990, 5, 12),
  'email': '[e-mail]',
  'phone': '[phone]',
  'locale': 'fr_FR'
}

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🛠️ Low-Level API: Direct Functions

You can also import and use the following functions directly:

• generate_person(locale, gender=None) — dict with first/last name and gender
• generate_phone(locale) — phone number for locale
• generate_email(first_name, last_name, locale, age=None, birth_year=None)
• generate_age(min_age=18, max_age=80) — tuple of (age, birthdate)
• generate_profile(locale, gender=None, domain=None, uuid_version=4) — full profile
• generate_user_agent(device_type="desktop") — browser user agent string
• generate_uuid(version=4, domain="example.com", name=None) — UUID string
• generate_username(first_name, last_name, locale='en_US')
• generate_password(min_length=12, max_length=18)
• generate_social_handles(first_name, last_name, platform)
• generate_online_presence(first_name, last_name)
• generate_resume(locale=None, family=None, years=8, format='dict|text') — structured CV dict or a formatted plain-text resume

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📦 Modules Overview

phoney/age.py — Age and birthdate generation

• generate_age(min_age=18, max_age=80)

phoney/agent.py — User agent string generation

• generate_user_agent(device_type="desktop")

phoney/create_profile.py — Complete profile generation

• generate_profile(locale, gender=None, domain=None, uuid_version=4)

phoney/data_loader.py — Loads locale data, names, phone formats, email domains

• load_countries(), load_streets(), load_cities(), load_states()
• get_available_locales(), load_names(locale), load_phone_formats(), load_email_domains()

phoney/emailgen.py — Email address generation

• generate_email(first_name, last_name, locale, age=None, birth_year=None, domain=None)

phoney/financial.py — Financial data generator

• FinancialDataGenerator(locale='en_US') class: .generate() for credit card, IBAN, BIC, etc.

phoney/person.py — Person name and gender generation

• generate_person(locale, gender=None)

phoney/phone.py — Phone number generation

• generate_phone(locale=None, max_attempts=500)

phoney/username.py — Username, password, and online presence generation

• generate_username(), generate_password(), generate_social_handles(), generate_online_presence()

phoney/uuidgen.py — UUID generation

• generate_uuid(version=4, domain="example.com", name=None)

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🌍 Supported Locales

Phoney supports 50+ locales across Asia, Europe, the Middle East, and the Americas. To list all available locales:

from phoney.data_loader import get_available_locales
print(get_available_locales())

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📜 License

MIT — Free for commercial and personal use. Developed by rarfile • Report Issue

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🧑‍💼 Career Module

Generate job titles, salary ranges, skills, and employment histories. Data loads from phoney/data/career when present.

Examples:

from phoney import phoney
phoney.job_title()
phoney.salary(locale="en_US", family="software_engineer", level="Senior")
phoney.skills("software_engineer", level="Senior", count=10)
phoney.employment_history(years=8, locale="en_US", family="software_engineer")
phoney.experience_level(7)

Data files:

• phoney/data/career/job_families.json
• phoney/data/career/skills.json
• phoney/data/career/salary_ranges.<locale>.json
• phoney/data/career/companies.<locale>.txt

🌐 Internet Module

Generate domains, URLs, hostnames, IP addresses, and MAC addresses. Data loads from phoney/data/internet when present.

Examples:

phoney.tld(locale="en_GB")            # → 'co.uk'
phoney.domain(locale="en_GB")         # → 'nova-1abc.co.uk'
phoney.hostname(locale="en_GB")       # → 'api-xyz.nova-1abc.co.uk'
phoney.url(locale="ja_JP")            # → 'https://alpha-zz9.jp/api/q8h2?page=3'
phoney.ipv4(locale="en_GB")           # country-aware IPv4 when data present; RIPE fallback otherwise
phoney.ipv6(locale="ja_JP")           # country/region-aware IPv6; always valid global-unicast
phoney.mac()

Data files:

• phoney/data/internet/tlds.txt
• phoney/data/internet/words.txt
• phoney/data/internet/ipv4_prefixes.<CC>.txt (optional, one IPv4 CIDR per line)
• phoney/data/internet/ipv6_prefixes.<CC>.txt (optional, one IPv6 CIDR per line)

Behavior notes:

• Locale parsing accepts en_GB, en-GB, or bare GB.
• IPv4: If ipv4_prefixes.<CC>.txt exists, IPs are drawn from those ranges; otherwise a regional fallback is used (e.g., RIPE for Europe, APNIC for Asia/Pacific) and private/reserved ranges are avoided.
• IPv6: If ipv6_prefixes.<CC>.txt exists, IPs are drawn from those ranges; otherwise a regional fallback /12 is used:
  • RIPE (Europe): 2a00::/12
  • APNIC (Asia/Pacific): 2400::/12
  • ARIN (North America): 2600::/12
  • LACNIC (LatAm): 2800::/12
  • AFRINIC (Africa): 2c00::/12 If no locale is provided, a valid global-unicast from 2000::/3 is generated. All IPv6 addresses are returned in canonical compressed form.

🆔 Other Identifiers

Generate common test identifiers.

Examples:

phoney.imei()                # 15-digit IMEI (Luhn-valid)
phoney.vin()                 # 17-char VIN with check digit
phoney.ean13()               # EAN-13 barcode
phoney.upca()                # UPC-A barcode
phoney.isbn13()              # ISBN-13 (default group '978')

Populate per-country prefixes automatically (offline):

1. Download the latest delegated-*-extended-latest files from each RIR to a folder (e.g., C:/rir-data):

• delegated-apnic-extended-latest
• delegated-arin-extended-latest
• delegated-ripencc-extended-latest
• delegated-lacnic-extended-latest
• delegated-afrinic-extended-latest

2. Run the builder CLI to generate ipv4_prefixes.<CC>.txt and ipv6_prefixes.<CC>.txt files:

phoney-build-prefixes --input-dir C:/rir-data

You can also specify a custom output directory:

phoney-build-prefixes --input-dir C:/rir-data --output-dir C:/my-prefixes

📝 Resume/CV Generator

Create an in-depth resume by combining person, career, skills, and job history. Returns a structured dict or a readable text resume.

Examples:

from phoney import generate_resume, Phoney

# Structured CV
cv = generate_resume(locale='en_GB', family='software_engineer', years=7, format='dict')
print(cv['headline'])
print(cv['skills']['core'])
print(len(cv['experience']))

# Text resume via Phoney
p = Phoney()
print(p.resume(locale='en_GB', years=5, format='text'))

Notes:

• family biases titles, skills, salary ranges, and responsibilities.
• years controls the history window and affects education year.
• Text output is a compact, single-file resume suitable for quick copying.