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Jentic OpenAPI Data Models

Project description

jentic-openapi-datamodels

Low-level and high-level data models for OpenAPI specifications.

Overview

This package provides data model classes for representing OpenAPI specification objects in Python. The models are designed to be:

  • Dict-like: Implement MutableMapping for easy data access
  • Unvalidated: Separate parsing from validation for performance
  • Extensible: Support OpenAPI specification extensions (x-* fields)
  • Version-aware: Currently implements OpenAPI 3.0.x (3.1.x planned)

Structure

  • datamodels.low.v30: Low-level models for OpenAPI 3.0.x

Usage

from jentic.apitools.openapi.datamodels.low.v30 import Schema

# Create a schema from raw data
schema = Schema({
    "type": "object",
    "properties": {
        "name": {"type": "string"}
    }
})

# Access via properties
print(schema.type)  # "object"

# Access via dict
print(schema["type"])  # "object"

# Convert back to dict
data = schema.to_mapping()

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