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ontocast.agent.criticise_ontology

Enhanced ontology criticism agent with SPARQL operations.

This module provides enhanced functionality for analyzing and validating ontologies of previous critiques and SPARQL operation support.

criticise_ontology(state, tools) async

Enhanced ontology criticism with SPARQL operations.

This function performs a critical analysis of the ontology in the current state, with SPARQL operation support.

Parameters:

Name Type Description Default
state UnitOntologyState

The current unit ontology state containing the ontology to analyze.

 required
tools AtomicToolBox

The toolbox instance providing utility functions.

 required

Returns:

Name Type Description
UnitOntologyState UnitOntologyState

Updated state with analysis results.
Source code in ontocast/agent/criticise_ontology.py 
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async def criticise_ontology(
    state: UnitOntologyState, tools: AtomicToolBox
) -> UnitOntologyState:
    """Enhanced ontology criticism with SPARQL operations.

    This function performs a critical analysis of the ontology in the current
    state, with SPARQL operation support.

    Args:
        state: The current unit ontology state containing the ontology to analyze.
        tools: The toolbox instance providing utility functions.

    Returns:
        UnitOntologyState: Updated state with analysis results.
    """

    progress_info = state.get_content_unit_progress_string()
    logger.info(
        f"Ontology Critic for {progress_info}: visit {state.node_visits[WorkflowNode.CRITICISE_ONTOLOGY]}/{state.max_visits_per_node}"
    )

    if state.content_unit is None:
        state.status = Status.FAILED
        return state

    current = state.current_ontology or state.ontology_snapshot
    if current.is_null():
        raise ValueError(
            f"Null ontology cannot be criticised: {current.iri} is not a valid ontology"
        )

    parser = PydanticOutputParser(pydantic_object=OntologyCritiqueReport)
    llm_tool: LLMTool = await tools.get_llm_tool(state.budget_tracker)

    ontology_ttl = current.graph.serialize(format="turtle")

    ontology_chapter = ontology_template.format(
        ontology_ttl=ontology_ttl,
    )

    text_chapter = text_template.format(text=state.content_unit.text)

    user_instruction = state.ontology_user_instruction
    external_evidence = state.external_evidence_text
    if external_evidence:
        state.mark_external_evidence_used(WorkflowNode.CRITICISE_ONTOLOGY)

    prompt = PromptTemplate(
        template=template_prompt,
        input_variables=[
            "preamble",
            "intro_instruction",
            "ontology_criteria",
            "user_instruction",
            "ontology_chapter",
            "text_chapter",
            "external_evidence",
            "format_instructions",
        ],
    )

    try:
        critique: OntologyCritiqueReport = await call_llm_with_retry(
            llm_tool=llm_tool,
            prompt=prompt,
            parser=parser,
            prompt_kwargs={
                "preamble": system_preamble,
                "intro_instruction": intro_instruction,
                "ontology_criteria": ontology_criteria,
                "text_chapter": text_chapter,
                "user_instruction": user_instruction,
                "ontology_chapter": ontology_chapter,
                "external_evidence": external_evidence,
                "format_instructions": parser.get_format_instructions(),
            },
        )
        state.set_external_evidence_request(
            WorkflowNode.CRITICISE_ONTOLOGY, critique.external_evidence_request
        )
        logger.info(
            f"Parsed critique report - success: {critique.success}, "
            f"score: {critique.score}, n fixes: {len(critique.actionable_ontology_fixes)}."
        )

        if critique.success or critique.score > 90:
            state.status = Status.SUCCESS
            state.set_node_status(WorkflowNode.CRITICISE_ONTOLOGY, Status.SUCCESS)
            logger.info("Ontology critique passed")
        else:
            state.status = Status.FAILED
            state.failure_stage = FailureStage.ONTOLOGY_CRITIQUE
            state.set_node_status(WorkflowNode.CRITICISE_ONTOLOGY, Status.FAILED)
            state.suggestions = Suggestions.from_critique_report(critique)
            state.failure_reason = "Ontology Critic suggests improvements"
            logger.info(
                f"Ontology critique failed: {critique.systemic_critique_summary}"
            )
        return state

    except Exception as e:
        logger.error(f"Failed to critique ontology: {str(e)}")
        state.set_failure(FailureStage.ONTOLOGY_CRITIQUE, str(e))
        state.set_node_status(WorkflowNode.CRITICISE_ONTOLOGY, Status.FAILED)
        return state