Skip to main content

FPE Plus

Format Preserving Encryption for Python
Encrypt dates, numbers, floats, and strings while preserving format and length.

PyPI version License Python Version


Table of Contents

  1. Features
  2. Installation
  3. Usage
  4. Dependencies
  5. License
  6. Author & Contact

Features

  • 🔒 Format Preserving Encryption (FPE) for dates, numbers, floats, and strings
  • 🆕 Type-safe encryption/decryption:
    • Encrypted integers are returned as int
    • Encrypted floats are returned as float
    • Encrypted dates are returned as datetime
    • No conversion issues with databases (Oracle, PostgreSQL, SQL Server)
  • 🔤 Supports all characters (letters, digits, special characters)
  • 📄 CSV encryption/decryption with column format specification
  • 🛡️ No external dependencies (pure Python)
  • 🏷️ Preserves length and format for structured data

Installation

pip install fpe_plus

Usage

Quick Start

from fpe_plus import FPETypeHandler, FPEExtended, FPECSVHandler

# Generate secure key and tweak
key = FPEExtended.generate_key()
tweak = FPEExtended.generate_tweak(7)

# Create a type handler
handler = FPETypeHandler(key, tweak, mode="FF3-1")


# Encrypt and decrypt a date (returns datetime)
date = "2023-12-25"
enc_date = handler.encrypt_date(date)  # returns datetime
dec_date = handler.decrypt_date(enc_date)  # returns datetime
print(f"Date: {date} -> {enc_date} -> {dec_date}")

# Encrypt and decrypt a float (returns float)
float_val = 123.456
enc_float = handler.encrypt_float(float_val)  # returns float
dec_float = handler.decrypt_float(enc_float)  # returns float
print(f"Float: {float_val} -> {enc_float} -> {dec_float}")

# Encrypt and decrypt a string (returns str)
text = "hello@world!123"
enc_str = handler.encrypt_string(text)
dec_str = handler.decrypt_string(enc_str)
print(f"String: {text} -> {enc_str} -> {dec_str}")

# Encrypt and decrypt digits (returns int)
number = 123456
enc_num = handler.encrypt_digit(number)  # returns int
dec_num = handler.decrypt_digit(enc_num)  # returns int
print(f"Digits: {number} -> {enc_num} -> {dec_num}")

# Encrypt and decrypt a CSV file
csv_handler = FPECSVHandler(key, tweak, mode="FF3-1")
formats = ['STRING', 'DATE', 'FLOAT', 'DIGITS']
csv_handler.encrypt_csv('input.csv', 'encrypted.csv', formats)
csv_handler.decrypt_csv('encrypted.csv', 'decrypted.csv', formats)

API Reference

FPEExtended

Core format-preserving encryption engine.

  • FPEExtended(key: bytes, tweak: bytes, mode: str = "FF3-1")
    • key: 16, 24, or 32 bytes
    • tweak: 7 bytes for FF3-1
    • mode: "FF3-1" (default)
  • generate_key(): Generate a secure random key
  • generate_tweak(length=7): Generate a secure random tweak
  • encrypt(plaintext: str, radix: int = None) -> str: Encrypt any string
  • decrypt(ciphertext: str, radix: int = None) -> str: Decrypt any string

FPETypeHandler

Type-specific encryption/decryption.

  • FPETypeHandler(key: bytes, tweak: bytes, mode: str = "FF3-1")
  • encrypt_date(date_input, date_format: str = "%Y-%m-%d", return_type=datetime) -> datetime|str
  • decrypt_date(ciphertext, date_format: str = "%Y-%m-%d", return_type=datetime) -> datetime|str
  • encrypt_float(value, return_type=float) -> float|str
  • decrypt_float(ciphertext, return_type=float) -> float|str
  • encrypt_digit(value, return_type=int) -> int|str
  • decrypt_digit(ciphertext, return_type=int) -> int|str
  • encrypt_string(plaintext: str) -> str
  • decrypt_string(ciphertext: str) -> str

FPECSVHandler

CSV column-wise encryption/decryption.

  • FPECSVHandler(key: bytes, tweak: bytes, mode: str = "FF3-1")
  • encrypt_csv(input_path: str, output_path: str, formats: list)
  • decrypt_csv(input_path: str, output_path: str, formats: list)
    • formats: List of column types ('DATE', 'FLOAT', 'STRING', 'DIGITS')

Developer Tips & Best Practices

  • Always use secure random keys and tweaks for production.
  • Specify correct column formats for CSV encryption.
  • For digits, ensure even length for FF3-1 compatibility (handler pads automatically).
  • Use caching for repeated values to improve performance.
  • All encryption is reversible if you keep the key and tweak safe.
  • No external dependencies: works out-of-the-box with Python 3.7+.


Dependencies

None (uses Python standard library).


License

This project is licensed under the MIT License.


Author & Contact

Vasudev Jaiswal
Email: vasudevjaiswal786@gmail.com


Made with ❤️ by Vasudev Jaiswal

Metadata

Release files for fpe-plus 1.1.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fpe-plus 1.1.1
File Size Uploaded Provenance Actions
fpe_plus-1.1.1.tar.gz 11.9 kB Without provenance Details for fpe_plus-1.1.1.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for fpe-plus 1.1.1
File Interpreter ABI Platform Actions
fpe_plus-1.1.1-py3-none-any.whl Python 3 none any Details for fpe_plus-1.1.1-py3-none-any.whl

Total release size: 22.5 kB

Release files / fpe_plus-1.1.1.tar.gz

Download URL fpe_plus-1.1.1.tar.gz
Size 11.9 kB
Tags Source
SHA-256 checksum
How to use checksums
ccdc3c3de33283175da8343af7aa66c31951d9ca16d2b9056c8ca3d8eba04b94
BLAKE2b-256 checksum
How to use checksums
883547df61121416b8298e8bd38d98f92148c8f618a2054f15a12a2c9aa0d859
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.13

Release files / fpe_plus-1.1.1-py3-none-any.whl

Download URL fpe_plus-1.1.1-py3-none-any.whl
Size 10.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d79f7a6d9cbc50d325a35bbd9be64bc216bf7edcf136fce67b6e5d2f132b62a5
BLAKE2b-256 checksum
How to use checksums
aa6e269e65957eb5725707a46fb13ecb37bc40bedf36a5080caf582c067c4d81
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.9.13

Security for fpe-plus 1.1.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

1.1.1 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page