jentic-openapi-traverse 1.0.0a8

Jentic OpenAPI Traversal Utilities

jentic-openapi-traverse

A Python library for traversing OpenAPI documents. This package is part of the Jentic OpenAPI Tools ecosystem and provides two types of traversal:

1. JSON Traversal (current) - Generic depth-first traversal of JSON-like structures
2. Datamodel Traversal (planned) - OpenAPI-aware semantic traversal with visitor pattern

Installation

pip install jentic-openapi-traverse

Prerequisites:

• Python 3.11+

---

JSON Traversal (Current Implementation)

Generic depth-first traversal of any JSON-like structure (dicts, lists, scalars). Works with raw parsed OpenAPI documents or any other JSON data.

Quick Start

from jentic.apitools.openapi.traverse.json import traverse

# Traverse a nested structure
data = {
    "openapi": "3.1.0",
    "info": {"title": "My API", "version": "1.0.0"},
    "paths": {
        "/users": {
            "get": {"summary": "List users"}
        }
    }
}

# Walk all nodes
for node in traverse(data):
    print(f"{node.format_path()}: {node.value}")

Output:

openapi: 3.1.0
info: {'title': 'My API', 'version': '1.0.0'}
info.title: My API
info.version: 1.0.0
paths: {'/users': {'get': {'summary': 'List users'}}}
paths./users: {'get': {'summary': 'List users'}}
paths./users.get: {'summary': 'List users'}
paths./users.get.summary: List users

Working with Paths

from jentic.apitools.openapi.traverse.json import traverse

data = {
    "users": [
        {"name": "Alice", "email": "[e-mail]"},
        {"name": "Bob", "email": "[e-mail]"}
    ]
}

for node in traverse(data):
    # Access path information
    print(f"Path: {node.path}")
    print(f"Segment: {node.segment}")
    print(f"Full path: {node.full_path}")
    print(f"Formatted: {node.format_path()}")
    print(f"Depth: {len(node.ancestors)}")
    print()

Custom Path Formatting

for node in traverse(data):
    # Default dot separator
    print(node.format_path())  # e.g., "paths./users.get.summary"

    # Custom separator
    print(node.format_path(separator="/"))  # e.g., "paths//users/get/summary"

Finding Specific Nodes

# Find all $ref references in a document
refs = [
    node.value["$ref"]
    for node in traverse(openapi_doc)
    if isinstance(node.value, dict) and "$ref" in node.value
]

# Find all nodes at a specific path segment
schemas = [
    node.value
    for node in traverse(openapi_doc)
    if node.segment == "schema"
]

# Find deeply nested values
response_descriptions = [
    node.value
    for node in traverse(openapi_doc)
    if node.segment == "description" and "responses" in node.path
]

API Reference

traverse(root: JSONValue) -> Iterator[TraversalNode]

Performs depth-first traversal of a JSON-like structure.

Parameters:

• root: The data structure to traverse (dict, list, or scalar)

Returns:

• Iterator of TraversalNode objects

Yields:

• For dicts: one node per key-value pair
• For lists: one node per index-item pair
• Scalars at root don't yield nodes (but are accessible via parent nodes)

TraversalNode

Immutable dataclass representing a node encountered during traversal.

Attributes:

• path: JSONPath - Path from root to the parent container (tuple of segments)
• parent: JSONContainer - The parent container (dict or list)
• segment: PathSeg - The key (for dicts) or index (for lists) within parent
• value: JSONValue - The actual value at parent[segment]
• ancestors: tuple[JSONValue, ...] - Ordered tuple of values from root down to (but not including) parent

Properties:

• full_path: JSONPath - Complete path from root to this value (path + (segment,))

Methods:

• format_path(separator: str = ".") -> str - Format the full path as a human-readable string

Usage Examples

Collecting All Schemas

from jentic.apitools.openapi.traverse.json import traverse

def collect_schemas(openapi_doc):
    """Collect all schema objects from an OpenAPI document."""
    schemas = []

    for node in traverse(openapi_doc):
        if node.segment == "schema" and isinstance(node.value, dict):
            schemas.append({
                "path": node.format_path(),
                "schema": node.value
            })

    return schemas

Analyzing Document Structure

def analyze_depth(data):
    """Analyze the depth distribution of a document."""
    max_depth = 0
    depth_counts = {}

    for node in traverse(data):
        depth = len(node.ancestors)
        max_depth = max(max_depth, depth)
        depth_counts[depth] = depth_counts.get(depth, 0) + 1

    return {
        "max_depth": max_depth,
        "depth_distribution": depth_counts
    }

Testing

The package includes comprehensive test coverage for JSON traversal:

uv run --package jentic-openapi-traverse pytest packages/jentic-openapi-traverse/tests -v