cpf-utils 1.0.1

Utility functions to deal with CPF data (Brazilian personal ID)

Toolkit to deal with CPF data (Brazilian personal ID): validation, formatting and generation of valid IDs.

Python Support

Passing ✔	Passing ✔	Passing ✔	Passing ✔	Passing ✔

Installation

$ pip install cpf-utils

Import

# Using class-based resource
from cpf_utils import CpfUtils

# Or using function-based approach
from cpf_utils import cpf_fmt, cpf_gen, cpf_val

# Or using the default instance
from cpf_utils import cpf_utils

Usage

Object-Oriented Usage

The CpfUtils class provides a unified interface for all CPF operations:

cpf_utils = CpfUtils()
cpf = '93247057062'

# Format CPF
print(cpf_utils.format(cpf))       # returns '932.470.570-62'

# Validate CPF
print(cpf_utils.is_valid(cpf))      # returns True

# Generate CPF
print(cpf_utils.generate())          # returns '65453043078'

With Configuration Options

You can configure the formatter and generator options in the constructor:

from cpf_fmt import CpfFormatterOptions
from cpf_gen import CpfGeneratorOptions

cpf_utils = CpfUtils(
    formatter=CpfFormatterOptions(
        hidden=True,
        hidden_key='#',
        hidden_start=3,
        hidden_end=10
    ),
    generator=CpfGeneratorOptions(format=True)
)

cpf = '93247057062'
print(cpf_utils.format(cpf))       # returns '932.###.###-##'
print(cpf_utils.generate())          # returns '730.085.350-06'

The options can be provided to the constructor or the respective methods. If passed to the constructor, the options will be attached to the CpfUtils instance. When passed to the methods, it only applies the options to that specific call.

cpf_utils = CpfUtils(
    formatter=CpfFormatterOptions(hidden=True)
)

cpf = '93247057062'
print(cpf_utils.format(cpf))                  # '932.***.***.***-**'
print(cpf_utils.format(cpf, hidden=False))    # '932.470.570-62' (overrides instance options)
print(cpf_utils.format(cpf))                  # '932.***.***.***-**' (uses instance options again)

Functional Programming

The package also provides standalone functions for each operation:

cpf = '93247057062'

# Format CPF
print(cpf_fmt(cpf))                 # returns '932.470.570-62'

# Validate CPF
print(cpf_val(cpf))                 # returns True

# Generate CPF
print(cpf_gen())                     # returns '65453043078'

Or use the default instance:

from cpf_utils import cpf_utils

cpf = '93247057062'
print(cpf_utils.format(cpf))        # returns '932.470.570-62'
print(cpf_utils.is_valid(cpf))      # returns True
print(cpf_utils.generate())          # returns '65453043078'

API Reference

Formatting (cpf_fmt / CpfUtils.format)

Formats a CPF string with customizable delimiters and masking options.

cpf_utils.format(
    cpf_string: str,
    hidden: bool | None = None,
    hidden_key: str | None = None,
    hidden_start: int | None = None,
    hidden_end: int | None = None,
    dot_key: str | None = None,
    dash_key: str | None = None,
    escape: bool | None = None,
    on_fail: Callable | None = None,
) -> str

Parameters:

Parameter	Type	Default	Description
hidden	bool | None	False	Whether to hide digits with a mask
hidden_key	str | None	'*'	Character to replace hidden digits
hidden_start	int | None	3	Starting index for hidden range (0-10)
hidden_end	int | None	10	Ending index for hidden range (0-10)
dot_key	str | None	'.'	String to replace dot characters
dash_key	str | None	'-'	String to replace dash character
escape	bool | None	False	Whether to HTML escape the result
on_fail	Callable | None	lambda value, error=None: value	Fallback function for invalid input

Examples:

cpf = '93247057062'

# Basic formatting
print(cpf_fmt(cpf))                 # '932.470.570-62'

# With hidden digits
print(cpf_fmt(cpf, hidden=True))    # '932.***.***.***-**'

# Custom delimiters
print(cpf_fmt(cpf, dot_key='', dash_key='_'))  # '932470570_62'

# Custom hidden range
print(cpf_fmt(cpf, hidden=True, hidden_start=0, hidden_end=5, hidden_key='#'))  # '###.##0.570-62'

Generation (cpf_gen / CpfUtils.generate)

Generates valid CPF numbers with optional formatting and prefix completion.

cpf_utils.generate(
    format: bool | None = None,
    prefix: str | None = None,
) -> str

Parameters:

Parameter	Type	Default	Description
format	bool | None	False	Whether to format the output
prefix	str | None	''	Prefix to complete with valid digits (1-9 digits)

Examples:

# Generate random CPF
print(cpf_gen())                     # '65453043078'

# Generate formatted CPF
print(cpf_gen(format=True))          # '730.085.350-06'

# Complete a prefix
print(cpf_gen(prefix='456237'))      # '45623741038'

# Complete and format
print(cpf_gen(prefix='456237410', format=True))  # '456.237.410-38'

Validation (cpf_val / CpfUtils.is_valid)

Validates CPF numbers using the official algorithm.

cpf_utils.is_valid(cpf_string: str) -> bool

Examples:

# Valid CPF
print(cpf_val('93247057062'))        # True
print(cpf_val('932.470.570-62'))     # True

# Invalid CPF
print(cpf_val('93247057063'))        # False

Advanced Usage

Accessing Individual Components

You can access the individual formatter, generator, and validator instances:

cpf_utils = CpfUtils()

# Access individual components
formatter = cpf_utils.formatter
generator = cpf_utils.generator
validator = cpf_utils.validator

# Use them directly
formatter.format('93247057062', hidden=True)
generator.generate(format=True)
validator.is_valid('93247057062')

Custom Error Handling

cpf = '123'  # Invalid length

# Custom fallback
def custom_fail(value, error=None):
    return f"Invalid CPF: {value}"

print(cpf_fmt(cpf, on_fail=custom_fail))  # 'Invalid CPF: 123'

# Return original value (default behavior)
print(cpf_fmt(cpf))  # '123'

Dependencies

This package is built on top of the following specialized packages:

• cpf-fmt - CPF formatting
• cpf-gen - CPF generation
• cpf-val - CPF validation

Contribution & Support

We welcome contributions! Please see our Contributing Guidelines for details. But if you find this project helpful, please consider:

• ⭐ Starring the repository
• 🤝 Contributing to the codebase
• 💡 Suggesting new features
• 🐛 Reporting bugs

License

This project is licensed under the MIT License - see the LICENSE file for details.

Changelog

See CHANGELOG for a list of changes and version history.

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