Format Preserving Encryption with support for dates, numbers, floats, and strings with any character
Project description
FPE Plus
Format Preserving Encryption for Python
Encrypt dates, numbers, floats, and strings while preserving format and length.
Table of Contents
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)
- Encrypted integers are returned as
- 🔤 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 bytestweak: 7 bytes for FF3-1mode: "FF3-1" (default)
generate_key(): Generate a secure random keygenerate_tweak(length=7): Generate a secure random tweakencrypt(plaintext: str, radix: int = None) -> str: Encrypt any stringdecrypt(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|strdecrypt_date(ciphertext, date_format: str = "%Y-%m-%d", return_type=datetime) -> datetime|strencrypt_float(value, return_type=float) -> float|strdecrypt_float(ciphertext, return_type=float) -> float|strencrypt_digit(value, return_type=int) -> int|strdecrypt_digit(ciphertext, return_type=int) -> int|strencrypt_string(plaintext: str) -> strdecrypt_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
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