Qna.yaml as Pydantic Data Model with YAML to Pydantic Conversions This script defines a Pydantic data model for a Q&A system based on a YAML structure. It includes classes for handling questions and answers, document chunks, and overall document metadata. The model supports validation for SHA1 commit hashes.

qna_as_pydantic.ipynb

Key Features:

• Pydantic Models: Defines QuestionAnswer, DocChunkQnA, Doc, and ILabQnA classes for structured data.
• YAML Conversion: Functions to convert Pydantic models to YAML and vice versa (pydantic_to_yaml and yaml_to_pydantic).
• Validation: Uses field_validator to enforce constraints on fields, such as SHA1 format for commits.
• Example Usage: Demonstrates how to create an instance of the model, serialize it to YAML, and deserialize it back to a Pydantic model.

Installation:

pip install pydantic rich pyyaml

Usage:

• Use the provided functions to read from and write to YAML files.
• Validate the structure and content of the data model.