ContentStructure.md

ContentStructure

Properties

Name	Type	Description	Notes
score	int	Numeric score for content structure (0-15)	[optional]
status	str		[optional]
explanation	str		[optional]
has_semantic_elements	bool	Whether semantic HTML elements are used	[optional]
has_landmarks	bool	Whether ARIA landmarks are present	[optional]
token_count	int	Deterministic token-budget estimate for the main content. Computed by running Mozilla Readability on the page, converting the extracted article to Markdown via Turndown, and dividing the character count by 4 (coarse tokens≈chars/4 heuristic).	[optional]
token_budget_status	str	Qualitative bucket for `tokenCount` relative to typical LLM context budgets (Good ≤ 20 000, Fair ≤ 30 000, Exceeded otherwise). The `overallScore` receives a +2 bonus when `tokenCount ≤ 30 000`.	[optional]

Example

from wordlift_client.models.content_structure import ContentStructure

# TODO update the JSON string below
json = "{}"
# create an instance of ContentStructure from a JSON string
content_structure_instance = ContentStructure.from_json(json)
# print the JSON string representation of the object
print(ContentStructure.to_json())

# convert the object into a dict
content_structure_dict = content_structure_instance.to_dict()
# create an instance of ContentStructure from a dict
content_structure_from_dict = ContentStructure.from_dict(content_structure_dict)

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