"""LLM-powered classification for ambiguous accounts."""

from typing import Optional

from waccy.core.ontology import AccountCategory, StandardChartOfAccounts


class ClassificationEngine:
    """LLM-powered classification for ambiguous accounts."""

    def __init__(self, llm_provider: Optional[str] = None) -> None:
        """Initialize the classification engine."""
        self.ontology = StandardChartOfAccounts()
        self.llm_provider = llm_provider

    def classify_account(
        self,
        source_account_name: str,
        transaction_patterns: list[dict],
        context: dict,
    ) -> tuple[AccountCategory, float]:
        """Classify an ambiguous account with confidence score."""
        # TODO: Implement classification logic
        # 1. Try deterministic mapping first
        # 2. If ambiguous, use LLM with pattern analysis
        # 3. Validate against learned patterns from EDGAR
        raise NotImplementedError("Classification not yet implemented")

    def learn_from_edgar(self, filing_data: dict) -> None:
        """Extract classification patterns from EDGAR filings."""
        # TODO: Implement pattern learning from EDGAR
        pass

