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74 changes: 60 additions & 14 deletions README.md
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# python-ear

A python implementation of [draft-fv-rats-ear](https://datatracker.ietf.org/doc/draft-fv-rats-ear/).
A Python library that implements the EAT Attestation Result (EAR) data format, as specified in [draft-ietf-rats-ear](https://datatracker.ietf.org/doc/draft-ietf-rats-ear/).

# Proposal
This library provides implementations for both CBOR-based and JSON-based serialisations.

Following are the tools that will be used in the development of this library
---

## CWT and JWT creation
## Overview

1. [python-cwt](https://python-cwt.readthedocs.io/en/stable/)
2. [python-jwt](https://pypi.org/project/python-jose/)
The goal of this project is to standardize attestation results by defining a shared information and data model, enabling seamless integration with other components of the RATS architecture.

## Code formatting and styling
This focuses specifically on harmonizing attestation results to facilitate interoperability between various verifiers and relying parties.

1. [black](https://pypi.org/project/black/)
2. [isort](https://pypi.org/project/isort/)
This implementation was initiated as part of the **Veraison Mentorship** under the Linux Foundation Mentorship Program (**LFX Mentorship**), focusing on the following capabilities:

## Linting and static analysis
- **Populating EAR Claims-Sets:** Define and populate claims that represent evidence and attestation results.
- **Signing EAR Claims-Sets:** Support signing using private keys, ensuring data integrity and authenticity.
- **Encoding and Decoding:**
- Encode signed EAR claims as **CWT** (Concise Binary Object Representation Web Tokens) or **JWT** (JSON Web Tokens).
- Decode signed EARs from CWT or JWT formats, enabling interoperability between different systems.
- **Signature Verification:** Verify signatures using public keys to ensure the authenticity of claims.
- **Accessing Claims:** Provide interfaces to access and manage EAR claims efficiently.

1. [flake8](https://pypi.org/project/flake8/)
2. [mypy](https://pypi.org/project/mypy/)
This library is developed in Python and makes use of existing packages for CWT and JWT management, static code analysis, and testing.

## Testing
---

1. [pytest](https://pypi.org/project/pytest/)
## Key Features

1. **Standards Compliance:**
Implements draft-ietf-rats-ear as per IETF specifications to ensure compatibility with the RATS architecture.

2. **Token Management:**
- **CWT Support:** Utilizes [python-cwt](https://python-cwt.readthedocs.io/en/stable/) for handling CBOR Web Tokens.
- **JWT Support:** Uses [python-jose](https://pypi.org/project/python-jose/) for JSON Web Tokens management.

3. **Security:**
- Supports signing of EAR claims with private keys and verification with public keys.
- Adopts secure cryptographic practices for token creation and verification.

4. **Static Analysis and Code Quality:**
- Ensures code quality using linters and static analysis tools.
- Maintains type safety and code consistency.

5. **Testing:**
- Comprehensive unit tests using `pytest` to validate all functionalities.

---

## Technical Stack

### Token Creation and Management

- **CWT:** [python-cwt](https://python-cwt.readthedocs.io/en/stable/)
- **JWT:** [python-jose](https://pypi.org/project/python-jose/)

### Code Formatting and Styling

- **black:** Ensures consistent code formatting.
- **isort:** Manages import statements.

### Linting and Static Analysis

- **flake8:** For PEP 8 compliance and linting.
- **mypy:** Static type checking.
- **pyright:** Advanced type checking for Python.
- **pylint:** Code analysis for error detection and enforcing coding standards.

### Testing

- **pytest:** Framework for writing and executing tests.