tax-identifiers 0.0.2

Validate tax identifiers and resolve their metadata with Pydantic

tax-identifiers

Country-aware tax identifier validation, normalization, and metadata resolution for Pydantic models.

Installation

pip install tax-identifiers

Quick Start

Construct a TaxValidator for a country and validate an identifier — the validator normalizes the value, applies that country's structural rules, and resolves any metadata. Currently, only the US validators have dedicated validation rules; every other country falls back to generic normalization.

from tax_identifiers import TaxValidator, Country, TaxIdentifierType

validator = TaxValidator(Country.US)
result = validator.validate("123-45-6789", TaxIdentifierType.SSN)

result.valid                   # True — passes the SSN reserved-range checks
result.country                 # Country.US
result.tax_id_type             # TaxIdentifierType.SSN
result.metadata.issued_state   # a USState enum — e.g. USState.NEW_YORK ("NY")
result.metadata.issued_years   # e.g. "1936-1950"

TaxValidationResult omits the raw identifier, so it is safe to log or return from an API.

Resolving Countries

Country.from_string normalizes codes and names — "US", "us", "United States", and "USA" all resolve to Country.US — so a validator can be built straight from a stored country string:

validator = TaxValidator(Country.from_string(row.country))   # ISO code or full name

A named country without dedicated rules can't assert validity — its validator raises NotImplementedError:

TaxValidator(Country.from_string("France")).validate(
    "FR1234567", TaxIdentifierType.FOREIGN_TIN
)   # raises NotImplementedError — no validation rules for France

Country.UNKNOWN is the country-agnostic exception: it accepts any non-empty identifier, so foreign identifiers of any shape validate against it.

An unrecognized country string raises UnknownCountryError:

Country.from_string("Atlantis")   # raises UnknownCountryError

Error Handling

validate raises on malformed or unsupported input. A parseable-but-reserved identifier is not an error — it comes back with valid=False:

from tax_identifiers import InvalidTaxIdError, UnsupportedTaxIdTypeError

validator.validate("666-12-3456", TaxIdentifierType.SSN).valid          # False — 666 is a reserved area
validator.validate("123-45-67890", TaxIdentifierType.SSN)               # raises InvalidTaxIdError — 10 digits
TaxValidator(Country.US).validate("X1", TaxIdentifierType.FOREIGN_TIN)  # raises UnsupportedTaxIdTypeError

TaxValidationResult.from_tax_identifier returns None for missing or malformed input instead of raising:

from tax_identifiers import TaxValidationResult

summary = TaxValidationResult.from_tax_identifier(
    country=Country.US, tax_id="12-3456789", tax_id_type=TaxIdentifierType.EIN
)
summary.valid   # True

Normalization Utilities

Reusable normalization helpers and annotated Pydantic field types you can drop into your own models:

from tax_identifiers import clean_us_tax_identifier, format_us_ssn, format_us_ein, ComparableUsTaxIdentifier

clean_us_tax_identifier(" 123-45-6789 ")                  # "123456789"
format_us_ssn("123456789")                                # "123-45-6789"
format_us_ein("123456789")                                # "12-3456789"
ComparableUsTaxIdentifier("123-45-6789") == "123456789"   # True — equality ignores formatting

NormalizedString and StringBool are configurable annotated field types:

from tax_identifiers import BaseModel, NormalizedString, StringBool


def is_yes(value: str) -> bool:
    return value.strip().upper() in {"YES", "Y"}


class IntakeForm(BaseModel):
    business_name: NormalizedString(normalize_to_uppercase=True)
    consented: StringBool(predicate=is_yes)


form = IntakeForm(business_name="  acme llc ", consented="yes")
form.business_name   # "ACME LLC"
form.consented       # True

NormalizedString collapses internal and edge whitespace first, then applies any of:

Option	Effect
normalize_to_uppercase	Uppercase the value
normalize_to_lowercase	Lowercase the value
normalize_to_titlecase	Title-case the value
strip_non_digits	Remove every non-digit character
strip_trailing_punctuation	Drop trailing . and , from each token

Masking Tax Identifiers

A TaxIdField carries a country and identifier type and normalizes on construction. Mix in TaxIdentifierPairMixin to mask the value while keeping the original recoverable:

from tax_identifiers import BaseModel, Country, TaxIdentifierPairMixin, TaxIdentifierType, TaxIdField


class ContractorTaxInfo(TaxIdentifierPairMixin, BaseModel):
    name: str
    tax_id: TaxIdField(country=Country.US, tax_id_type=TaxIdentifierType.SSN)


record = ContractorTaxInfo(name="Jane Doe", tax_id="123-45-6789")
record.tax_id == "123456789"   # normalized on construction — equality ignores formatting

masked = record.to_masked()
masked.tax_id                  # "*******6789"
masked.to_unmask().tax_id      # "123-45-6789" — original recovered

TaxIdField defaults to Country.UNKNOWN — a country-agnostic field that normalizes (uppercases) but is never validated. Pass country=Country.US to apply a country's rules.

Run Tests

pip install -e ".[dev]"
pytest -v