Pandify

Pandify is a lightweight Python utility library providing structured data workflow helpers, tabular processing scripts, and interactive console development tools.

Designed as an importable library rather than a complex CLI, Pandify allows developers to embed stateful, password-protected processing pipelines directly inside their scripts through clean, intuitive Python function calls.

Key Features

• Intuitive Function API: Simply import pandify and call pandify.auth(), pandify.chat(), pandify.upload().
• Zero-Clutter Terminal: Minimal, distraction-free terminal interface. No banners, no dashboards, no ASCII logos.
• Argon2id Authentication: Secure master password hashing and failed-attempt lockout protection.
• OS-Keyring Token Storage: Sensitive developer credentials and tokens are stored in the OS credential store (Windows Credential Manager, macOS Keychain, Linux SecretService) or in-memory RAM fallback — never in plaintext or source files.
• Dynamic Multi-Token Rotation: Register $N$ service credentials with automatic Least-Recently-Used rotation and exponential backoff handling.
• Multimodal File Ingestion: Stage and analyze code, PDFs, Word documents, Excel sheets, CSVs, and images.
• Local Sovereignty: State, custom templates, settings, and metadata remain locally on your machine in SQLite and TOML.

Installation

Install directly from PyPI or local wheel:

pip install pandify

To install development dependencies (for testing and building):

pip install "pandify[dev]"

Quick Start

1. Basic Processing Script

import pandify

# Authenticate session
pandify.auth()

# Interactive query / code generation
pandify.chat("Create a modular data parser in Python", stream=False)

# Cleanly exit session
pandify.exit()

2. File & Script Ingestion

import pandify

pandify.auth()

# Attach code, documents, or data sheets
pandify.upload("pipeline.py")
pandify.upload("data.csv")

# Process staged files in context
pandify.chat("Review the pipeline implementation against the data schema.")

3. Remote Sync & Clean Exit

import pandify

# Sync credentials from private backup endpoint:
pandify.download_keys(url="https://krishnahere.pythonanywhere.com", password="pandify123")

pandify.auth()
pandify.chat("Write a handler for UDP packets", stream=False)

# Clean up memory and delete local temporary credential files
pandify.clear_keys()
pandify.clear_memory()
pandify.exit(delete_files=["keys.txt"])

Public Python API Reference

Supported File Types

• Documents: .pdf, .docx, .xlsx, .csv, .txt
• Images: .png, .jpg, .jpeg, .webp
• Code: .py, .js, .ts, .jsx, .tsx, .java, .c, .cpp, .html, .css, .json, .xml, .sql, .php, .go, .rs
• Additional: .md, .log

License

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