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TPN Automation Automated License Intelligence and Compliance Risk Analysis from Third‑Party Notices (TPN) Documents. Overview TPN Automation extracts, analyzes, and classifies license information contained in Third‑Party Notice (TPN) documents. This system is designed to support engineering, legal, and compliance teams by providing automated processing of vendor‑supplied TPN PDFs. The framework helps to:

Parse and extract components from TPN PDFs Normalize license names and metadata Identify compliance risks Produce structured outputs for downstream systems Reduce manual effort and human error

Features

TPN PDF/Text Parsing License Detection and Normalization Risk Scoring Engine Structured Output in CSV/JSON formats Automated Test Suite Modular and Extensible Architecture

Project Structure tpn_automation/ │ ├── src/
│ └── tpn_automation/ │ ├── init.py │ ├── main.py │ ├── parser.py │ ├── risk.py │ ├── utils.py │ ├── tests/
│ ├── test_basic_parse.py │ ├── test_import.py │ └── sample_tpn.pdf │ ├── docs/
│ ├── architecture.md │ ├── usage.md │ └── contributing.md │ ├── scripts/
├── data/
├── notebooks/
│ ├── LICENSE ├── README.md └── .gitignore

Getting Started

  1. Create a virtual environment python3 -m venv .venv source .venv/bin/activate

  2. Install dependencies If using Poetry: poetry install

If using pip: pip install -r requirements.txt

Usage Command Line python -m tpn_automation.main
--input data/sample_tpn.pdf
--output output.json

Programmatic Example Pythonfrom tpn_automation.parser import parse_tpnfrom tpn_automation.risk import score_riskcomponents = parse_tpn("sample_tpn.pdf")risk_report = score_risk(components)print(risk_report)Show more lines Running Tests pytest

Documentation Documentation is provided in the docs/ directory:

architecture.md usage.md contributing.md

Contributing Contributions are welcome. Please open an issue or submit a pull request. License This project is licensed under the terms of the LICENSE file included in the repository.

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Automation framework for TPN (Third‑Party Notices) generation, processing, and validation

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