validata-py 1.0.1

Conceal sensitive data — strings, emails, phones, numbers, cards, payloads, and free text — with a single clean API.

veildata

Conceal sensitive data in Python — strings, emails, phones, numbers, cards, dict payloads, and free text — with one import and one class.

pip install veildata

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Why veildata?

Most masking libraries handle one data type. You end up installing three packages, learning three APIs, and writing glue code between them. veildata puts everything in one place with consistent arguments and zero dependencies.

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Quick start

from veildata import Veil

# Any string — control start point and length
Veil.cover("order-REF-99812", from_index=10)
# "order-REF-*****"

# Email — keeps @ and TLD, hides the rest
Veil.shield_email("[e-mail]")
# "a****@e******.com"

# Phone — non-digit characters survive
Veil.shield_phone("[phone]", expose_last=4)
# "+91 *****-43210"

# Integer — keep leading digits readable
Veil.shield_number(987654321, expose_first=3)
# "987******"

# Payment card — preserves spaces/dashes
Veil.shield_card("4111 1111 1111 1111")
# "**** **** **** 1111"

# Brazilian CPF
Veil.shield_cpf("123.456.789-01")
# "123.***.789-01"

# Brazilian CNPJ
Veil.shield_cnpj("12.345.678/0001-99")
# "12.***.***/**01-99"

# Entire dict payload — one call, any mix of types
Veil.shield_payload(
    {
        "name":   "Priya Sharma",
        "email":  "[e-mail]",
        "mobile": "[phone]",
        "salary": 950000,
        "pan":    "ABCDE1234F",
    },
    {
        "name":   "text",
        "email":  "email",
        "mobile": "phone",
        "salary": "zero",
        "pan":    "drop",
    },
)
# {
#   "name":   "P**********a",
#   "email":  "p****@e******.com",
#   "mobile": "+91-*****-43210",
#   "salary": 0,
#   "pan":    "**********",
# }

# Auto-detect PII in free text
Veil.scrub_text("Reach me at [e-mail] or [phone]")
# "Reach me at [EMAIL] or [PHONE]"

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Full API

Veil.cover(text, char, from_index, length)

Param	Type	Default	Description
text	str	—	Input string
char	str	"*"	Replacement character
from_index	int	0	Start of concealment. Negative = from end
length	int | None	None	Characters to conceal. None = to end

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Veil.shield_email(email, char, reveal_user, reveal_host)

Param	Type	Default	Description
email	str	—	Email address
char	str	"*"	Replacement character
reveal_user	int	1	Leading chars of local part to keep
reveal_host	int	1	Leading chars of hostname to keep

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Veil.shield_phone(phone, char, expose_last)

Param	Type	Default	Description
phone	str	—	Phone number (any format)
char	str	"*"	Replacement character
expose_last	int	4	Trailing digits to leave visible

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Veil.shield_number(value, char, expose_first)

Param	Type	Default	Description
value	int	—	Any integer
char	str	"*"	Replacement character
expose_first	int	2	Leading digits to leave visible

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Veil.shield_card(card_number, char, expose_last)

Param	Type	Default	Description
card_number	str	—	Card number (formatted or plain)
char	str	"*"	Replacement character
expose_last	int	4	Trailing digits to leave visible

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Veil.shield_cpf(cpf, char) / Veil.shield_cnpj(cnpj, char)

Accept formatted or plain digit strings. Raise ValueError if the digit count is wrong.

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Veil.shield_payload(data, blueprint, in_place)

Blueprint strategy values:

Strategy	Effect
"text"	Conceal middle, keep first and last character
"email"	Apply shield_email
"phone"	Apply shield_phone
"card"	Apply shield_card
"zero"	Replace number with 0 (or "0" for strings)
"scramble"	Replace each digit with a random digit, same length
"drop"	Replace entire value with asterisks

Set in_place=True to mutate the original dict instead of returning a copy.

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Veil.scrub_text(text, scrub_emails, scrub_phones, scrub_cards, email_label, phone_label, card_label)

Auto-detects PII with regex and replaces each match with a configurable label. No ML, no external libraries.

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Running tests

python tests/test_veil.py

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License

MIT