import logging
from typing import Any

from core.plugin_system import PluginContext, PluginInterface, PluginMetadata

logger = logging.getLogger(__name__)


class EvidenceAnalysisPlugin(PluginInterface):
    """
    Analyzes case evidence for suspicious keywords and metadata anomalies.
    """

    @property
    def metadata(self) -> PluginMetadata:
        return PluginMetadata(
            name="evidence_analysis",
            version="1.0.0",
            namespace="zenith/intelligence/evidence_analysis",
            author="Zenith Team",
            description="Analyzes evidence metadata and content for fraud indicators",
            dependencies={},
            capabilities=["intelligence", "case_analysis"],
            security_level="official",
            api_version="v1",
        )

    async def initialize(self, context: PluginContext) -> bool:
        self.context = context
        return True

    async def execute(self, inputs: dict[str, Any]) -> dict[str, Any]:
        """
        Expects {"case_data": {...}}
        """
        case_data = inputs.get("case_data")
        if not case_data:
            return {"error": "No case data provided"}

        return await self._analyze_evidence(case_data)

    async def _analyze_evidence(self, case_data: dict[str, Any]) -> dict[str, Any]:
        """Analyze evidence for fraud indicators"""
        insights = []
        recommendations = []
        confidence = 0.0

        evidence = case_data.get("evidence", [])

        for item in evidence:
            content = item.get("content", "").lower()
            filename = item.get("filename", "").lower()

            # Check for suspicious keywords
            fraud_keywords = [
                "offshore",
                "cayman",
                "shell company",
                "wire transfer",
                "cash equivalent",
                "round number",
                "just below",
            ]

            found_keywords = [kw for kw in fraud_keywords if kw in content]
            if found_keywords:
                insights.append(
                    f"Evidence '{filename}' contains suspicious keywords: {', '.join(found_keywords)}"
                )
                recommendations.append(
                    f"Review evidence '{filename}' for fraud indicators"
                )
                confidence += 0.3

            # Check file metadata
            metadata = item.get("metadata", {})
            if metadata.get("modified_date") and metadata.get("created_date"):
                # Check for backdating
                metadata["created_date"]
                metadata["modified_date"]
                # Logic simplified for plugin example

        return {
            "insights": insights,
            "recommendations": recommendations,
            "confidence": min(confidence, 1.0),
            "risk_score": 0,  # Evidence alone rarely sets distinct risk score unless critical
        }

    async def cleanup(self) -> None:
        pass

    def validate_config(self, config: dict[str, Any]) -> list[str]:
        return []