datafog 2.3.0

Scan, redact, and manage PII in your documents before they get uploaded to a Retrieval Augmented Generation (RAG) system.

Open-source PII Detection for Retrieval Systems.
Scan, redact, and manage PII in your documents before they get uploaded to a Retrieval Augmented Generation (RAG) system.

Overview

DataFog works by scanning and redacting-out PII in files before are uploaded to a RAG system.

How it works

Installation

DataFog can be installed via pip:

pip install datafog # python client

Usage

We're going to build up functionality starting with support for the Microsoft Presidio library. If you have any custom requests that would be of benefit to the community, please let us know!

  import requests
  from datafog import PresidioEngine as presidio

  # Example: Detecting PII in a String
  pii_detected = presidio.scan("My name is John Doe and my email is [e-mail]")
  print("PII Detected:", pii_detected)

  # Example: Detecting PII in a File
  sample_filepath = "/Users/sidmohan/Desktop/v2.0.0/datafog-python/tests/files/input_files/sample.csv"
  with open(sample_filepath, "r") as f:
      original_value = f.read()
  pii_detected = presidio.scan(original_value)
  print("PII Detected in File:", pii_detected)

  # Example: Detecting PII in a URL
  sample_url = "https://gist.githubusercontent.com/sidmohan0/1aa3ec38b4e6594d3c34b113f2e0962d/raw/42e57146197be0f85a5901cd1dcdd9ad15b31bab/sotu_2023.txt"
  response = requests.get(sample_url)
  original_value = response.text
  pii_detected = presidio.scan(original_value)
  print("PII Detected in URL Content:", pii_detected)

Depending on your input, the output will be a list of detected PII entities:

PII Detected: [type: EMAIL_ADDRESS, start: 36, end: 53, score: 1.0, type: PERSON, start: 11, end: 19, score: 0.85, type: URL, start: 44, end: 53, score: 0.5]

Contributing

This is an open-source project and we welcome contributions. If you have any questions, please feel free to reach out to us, join our Discord or email me directly at [e-mail].

Dev Notes

• Clone repo
• Run 'poetry install' to install dependencies (recommend entering poetry shell for preserving dependencies)
• Justfile commands:
  • just format to apply formatting.
  • just lint to check formatting and style.
  • just tag to tag your project on git
  • just upload to publish to PyPi.

Testing

To run the datafog unit tests, check out this repository and do

tox

License

This software is published under the MIT license.