import { task } from "@trigger.dev/sdk/v3";
import axios from "axios";
import { getEnv } from "../../shared/config/env";
import { getSupabaseClient } from "../../shared/supabase/client";
import { logger, auditLog } from "../../shared/utils/logger";
import { CompanyDiscoveredPayload } from "../../shared/supabase/schema";

/**
 * Profiling Router — Trigger.dev task that:
 * 1. Receives company.discovered event
 * 2. Calls Python AI service for LLM profiling + scoring
 * 3. Routes result: qualified → outreach queue, low score → nurture/archive
 */
export const profilingTask = task({
  id: "profiling-router",
  maxDuration: 300, // 5 min per company

  run: async (payload: CompanyDiscoveredPayload) => {
    const { company_id, domain, name, region, source } = payload;
    const env = getEnv();
    const db = getSupabaseClient();

    logger.info({ company_id, domain }, "🧠 Profiling started");

    try {
      // 1. Fetch company data from Supabase
      const { data: company, error: companyErr } = await db
        .from("companies")
        .select("*")
        .eq("id", company_id)
        .single();

      if (companyErr || !company) {
        throw new Error(`Company not found: ${companyErr?.message}`);
      }

      // 2. Fetch contacts from Supabase
      const { data: contacts, error: contactsErr } = await db
        .from("contacts")
        .select("*")
        .eq("company_id", company_id);

      if (contactsErr) {
        throw new Error(`Failed to fetch contacts: ${contactsErr.message}`);
      }

      // 3. Structure payload and call Python AI Service
      const response = await axios.post(
        `${env.PYTHON_AI_SERVICE_URL}/profile`,
        {
          company: {
            id: company.id,
            name: company.name,
            industry: company.industry || "",
            employee_count: company.employee_count,
            description: company.description || "",
            website_text: company.description || "", // Using description as website excerpt fallback
            linkedin_description: "",
            tech_stack: company.tech_stack || [],
            ai_job_count: (company.growth_signals || []).filter((s: any) => s.type === "job_post").length,
            pain_signals: company.pain_signals || [],
            service_match: company.service_match,
          },
          contacts: (contacts || []).map((c: any) => ({
            full_name: c.full_name,
            email: c.email,
            email_verified: c.email_verified,
            linkedin_personal_url: c.linkedin_personal_url || c.linkedin_url,
            social_profiles: c.social_profiles || {},
          })),
          trace_id: company.trace_id || `trace-${company_id.slice(0, 8)}`,
        },
        {
          headers: {
            "Content-Type": "application/json",
            "Authorization": `Bearer ${env.PYTHON_AI_SERVICE_SECRET}`,
          },
          timeout: 120_000, // 2 min timeout for LLM
        }
      );

      const { profile, score, validation, meta } = response.data;
      const totalScore = score?.total_score ?? 0;
      const tier = score?.tier ?? "archive";
      const needs_human_review = !(validation?.score_valid ?? true);

      logger.info(
        { company_id, score: totalScore, tier },
        "✅ Profiling complete"
      );

      // Save profile and score in DB
      await db.from("lead_profiles").upsert({
        company_id,
        ...profile,
      }, { onConflict: "company_id" });

      await db.from("lead_scores").upsert({
        company_id,
        ...score,
      }, { onConflict: "company_id" });

      // ── Route based on score tier ───────────────────────────
      await routeByTier(company_id, { total_score: totalScore, tier, needs_human_review }, db, env);

      // ── Audit log ───────────────────────────────────────────
      auditLog("lead_profiled", "company", {
        company_id,
        domain,
        score: totalScore,
        tier,
        is_fallback: meta?.is_fallback ?? false,
      });

      return response.data;
    } catch (err: unknown) {
      // ── Python service unavailable → fallback ───────────────
      if (axios.isAxiosError(err) && !err.response) {
        logger.error({ company_id, domain }, "Python service unreachable — queuing for review");
        await db.from("human_review_queue").insert({
          type: "score_anomaly",
          company_id,
          payload: { reason: "python_service_unavailable", domain },
        });
        return { success: false, reason: "python_service_unavailable" };
      }
      throw err;
    }
  },
});

// ─── Score-based routing ──────────────────────────────────────

async function routeByTier(
  companyId: string,
  result: { total_score: number; tier: string; needs_human_review: boolean },
  db: ReturnType<typeof getSupabaseClient>,
  env: ReturnType<typeof getEnv>
) {
  const { tier, total_score, needs_human_review } = result;

  if (tier === "hot" || tier === "warm") {
    if (needs_human_review && env.HUMAN_REVIEW_ENABLED) {
      // Queue for human approval before outreach
      logger.info({ companyId, tier }, "Routing to human review queue");
      await db.from("human_review_queue").insert({
        type: "outreach_approval",
        company_id: companyId,
        payload: { score: total_score, tier, reason: "human_review_required" },
      });
      await notifySlack(companyId, total_score, tier, env, "review");
    } else {
      // Qualified — trigger outreach (Step 3, to be built)
      logger.info({ companyId, tier, score: total_score }, "🚀 Routing to outreach queue");
      await notifySlack(companyId, total_score, tier, env, "qualified");

      // Future: trigger outreach task
      // await outreachTask.trigger({ company_id: companyId, tier });
    }
  } else if (tier === "nurture") {
    logger.info({ companyId }, "Routing to nurture — re-score in 30 days");
    // Future: schedule re-scoring task
  } else {
    logger.info({ companyId }, "Archived — score too low");
  }
}

async function notifySlack(
  companyId: string,
  score: number,
  tier: string,
  env: ReturnType<typeof getEnv>,
  type: "qualified" | "review"
) {
  try {
    const db = getSupabaseClient();
    const { data: company } = await db
      .from("companies")
      .select("name, domain, industry, employee_count")
      .eq("id", companyId)
      .single();

    if (!company) return;

    const emoji = tier === "hot" ? "🔥" : "✅";
    const action = type === "review" ? "⏳ Needs Review" : "📤 Ready for Outreach";

    const message = {
      text: `${emoji} New Qualified Lead — ${action}`,
      blocks: [
        {
          type: "section",
          text: {
            type: "mrkdwn",
            text: `*${emoji} ${company.name}*\n${action}\n\n` +
              `• *Score:* ${score}/100 — ${tier.toUpperCase()}\n` +
              `• *Industry:* ${company.industry ?? "Unknown"}\n` +
              `• *Employees:* ${company.employee_count ?? "Unknown"}\n` +
              `• *Domain:* ${company.domain}`,
          },
        },
      ],
    };

    const channelId = type === "review" ? env.SLACK_REVIEW_CHANNEL_ID : env.SLACK_ALERT_CHANNEL_ID;

    const res = await axios.post("https://slack.com/api/chat.postMessage", {
      channel: channelId,
      ...message,
    }, {
      headers: { Authorization: `Bearer ${env.SLACK_BOT_TOKEN}` },
    });
    if (res.data && res.data.ok === false) {
      logger.warn({ error: res.data.error }, "Slack API responded with error. Make sure to invite the bot to the channel!");
    }
  } catch (err) {
    logger.warn({ err }, "Slack notification failed — non-critical");
  }
}