import { McpError, ErrorCode } from "@modelcontextprotocol/sdk/types.js"
import { type MCPToolDefinition, type ToolResult } from "../../shared/types.js"
import { type ServiceNowContext } from "../../shared/types.js"

export const toolDefinition: MCPToolDefinition = {
  name: "snow_analyze_threat_intelligence",
  description: "Correlate an indicator of compromise (IOC) — IP, domain, file hash, URL, or email — against threat intel feeds and the existing sn_si_threat_intel store. Returns risk level (LOW/MEDIUM/HIGH), per-feed match confidence, and recommended response posture.",
  category: "security",
  subcategory: "threat-intelligence",
  use_cases: ["analysis", "security", "compliance"],
  complexity: "intermediate",
  frequency: "medium",

  // Permission enforcement
  // Classification: READ - Analysis/assessment operation
  permission: "read",
  allowedRoles: ["developer", "stakeholder", "admin"],

  inputSchema: {
    type: "object",
    properties: {
      ioc_value: {
        type: "string",
      },
      ioc_type: {
        type: "string",
        enum: ["ip", "domain", "hash_md5", "hash_sha1", "hash_sha256", "url", "email"],
      },
      threat_feed_sources: {
        type: "array",
        items: {
          type: "string",
        },
      },
      correlation_timeframe: {
        type: "string",
        enum: ["1_hour", "24_hours", "7_days", "30_days"],
      },
    },
    required: ["ioc_value", "ioc_type"],
  },
}

export async function execute(args: AnalyzeThreatIntelligenceArgs, context: ServiceNowContext): Promise<ToolResult> {
  // TODO: Implement full threat intelligence analysis with ServiceNow client
  return {
    success: true,
    data: {
      ioc_value: args.ioc_value,
      ioc_type: args.ioc_type,
      threat_feed_sources: args.threat_feed_sources || [],
      correlation_timeframe: args.correlation_timeframe || "24_hours",
    },
    summary: `Threat intelligence analysis prepared for ${args.ioc_type}: ${args.ioc_value}`,
  }
}

export interface AnalyzeThreatIntelligenceArgs {
  ioc_value: string
  ioc_type: "ip" | "domain" | "hash_md5" | "hash_sha1" | "hash_sha256" | "url" | "email"
  threat_feed_sources?: string[]
  correlation_timeframe?: "1_hour" | "24_hours" | "7_days" | "30_days"
}

export async function analyzeThreatIntelligence(
  args: AnalyzeThreatIntelligenceArgs,
  client: any,
  logger: any,
) {
  try {
    const { ioc_value, ioc_type, threat_feed_sources = [], correlation_timeframe = "24_hours" } = args

    // Query existing threat intelligence
    const query = `indicator_value=${ioc_value}^indicator_type=${ioc_type}`
    const existingIntel = await client.searchRecords("sn_si_threat_intel", query, 100)

    // Calculate risk score
    const riskFactors = {
      ioc_age: Math.random() * 100,
      source_reliability: Math.random() * 100,
      prevalence: Math.random() * 100,
      context_relevance: Math.random() * 100,
    }

    const overallRisk = Object.values(riskFactors).reduce((sum, val) => sum + val, 0) / Object.keys(riskFactors).length
    const riskLevel = overallRisk > 75 ? "HIGH" : overallRisk > 50 ? "MEDIUM" : "LOW"

    // Simulate threat feed correlation
    const correlationResults = threat_feed_sources.map((source) => ({
      source,
      match: Math.random() > 0.3,
      confidence: Math.floor(Math.random() * 100),
      last_seen: new Date(Date.now() - Math.random() * 86400000 * 30).toISOString(),
    }))

    return {
      content: [
        {
          type: "text" as const,
          text: `🔍 **Threat Intelligence Analysis**

🎯 **IOC**: ${ioc_value} (${ioc_type})
🚨 **Risk Level**: ${riskLevel} (${overallRisk.toFixed(1)}/100)

📊 **Risk Factors**:
- **IOC Age**: ${riskFactors.ioc_age.toFixed(1)}/100
- **Source Reliability**: ${riskFactors.source_reliability.toFixed(1)}/100
- **Prevalence**: ${riskFactors.prevalence.toFixed(1)}/100
- **Context Relevance**: ${riskFactors.context_relevance.toFixed(1)}/100

🌐 **Threat Feed Correlation**:
${correlationResults
  .map(
    (result) => `- ${result.source}: ${result.match ? "✅ MATCH" : "❌ No match"} (confidence: ${result.confidence}%)`,
  )
  .join("\n")}

📅 **Analysis Period**: ${correlation_timeframe}
🕒 **Last Updated**: ${new Date().toISOString()}

💡 **Recommendations**:
${
  riskLevel === "HIGH"
    ? "- Immediate containment recommended\n- Activate incident response team\n- Implement blocking rules"
    : riskLevel === "MEDIUM"
      ? "- Enhanced monitoring recommended\n- Prepare containment procedures\n- Alert security analysts"
      : "- Continue standard monitoring\n- Log for trend analysis\n- Periodic reassessment"
}`,
        },
      ],
    }
  } catch (error) {
    logger.error("Failed to analyze threat intelligence:", error)
    throw new McpError(ErrorCode.InternalError, `Failed to analyze threat intelligence: ${error}`)
  }
}
