"""Stub ml_anomaly - ML-based anomaly detection"""

from typing import Any


class WalletAnomalyDetector:
    """Detect anomalous wallet behavior."""

    def __init__(self):
        self.threshold = 0.8

    def analyze_wallet(self, address: str, chain: str = "base") -> dict[str, Any]:
        """Analyze wallet for anomalies."""
        return {
            "address": address,
            "chain": chain,
            "anomaly_score": 0.0,
            "flagged": False,
            "reasons": [],
        }

    def batch_analyze(self, addresses: list[str], chain: str = "base") -> dict[str, Any]:
        """Batch analyze wallets."""
        results = []
        for addr in addresses:
            results.append(self.analyze_wallet(addr, chain))
        return {"wallets": results, "total": len(results)}


class TokenMetricAnomalyDetector:
    """Detect anomalous token metrics."""

    def __init__(self):
        self.threshold = 0.9

    def analyze_token(self, address: str, chain: str = "base") -> dict[str, Any]:
        """Analyze token for anomalous metrics."""
        return {
            "token": address,
            "chain": chain,
            "risk_score": 0,
            "anomalies": [],
        }