/**
 * Market Intelligence Scraper
 *
 * Collects procurement-relevant signals from:
 *   - OFC/ECOC conference programs
 *   - Farnell/Mouser lead times for optical modules
 *   - IEEE 802.3 working group status page
 *   - EU TED tender database (fiber infrastructure)
 *   - LightReading/FierceTelecom trade press
 *
 * Runs weekly via pg-boss scheduler.
 * Results stored in market_intelligence table.
 * LLM analysis via Crawler LLM extractMarketIntel().
 */

import { CheerioCrawler } from "crawlee";
import { makeCrawleeConfig } from "../utils/crawlee-config";
import { extractMarketIntel } from "../crawler-llm/core";
import { pool } from "../utils/db";

interface IntelSource {
  name: string;
  url: string;
  type: "trade_show" | "standard_ratified" | "standard_draft" | "distributor_lead_time" | "supply_chain" | "tender" | "capex_cycle";
  fetchText: (html: string) => string;  // extract relevant text from HTML
}

const SOURCES: IntelSource[] = [
  {
    name: "OFC Conference News",
    url: "https://www.ofcconference.org/en-us/home/news/",
    type: "trade_show",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 8000),
  },
  {
    name: "LightReading — Optical Networking",
    url: "https://www.lightreading.com/optical-networking",
    type: "supply_chain",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 8000),
  },
  {
    name: "IEEE 802.3 Working Group",
    url: "https://www.ieee802.org/3/",
    type: "standard_draft",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 6000),
  },
  {
    name: "EU TED — ICT/Fiber Tenders",
    url: "https://ted.europa.eu/en/search/result?forms%5B0%5D%5Bcpv%5D=32571000",
    type: "tender",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 8000),
  },
  {
    name: "Farnell — SFP Fiber Transceivers Lead Times",
    url: "https://de.farnell.com/c/passive-optische-netzwerke/glasfasertransceiver",
    type: "distributor_lead_time",
    fetchText: (html) => {
      // Extract lead time patterns: "X Wochen", "X weeks", "X days"
      const leadTimePattern = /(\d+)\s*(wochen|weeks|days|tage|week|day)/gi;
      const matches = [];
      let m;
      while ((m = leadTimePattern.exec(html)) !== null) {
        matches.push(m[0]);
      }
      const context = html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ");
      return `Lead time mentions: ${matches.join(", ")}\n\nPage context:\n${context.substring(0, 5000)}`;
    },
  },
  {
    name: "Mouser — Optical Transceivers Category",
    url: "https://www.mouser.de/c/optoelectronics/fiber-optic-components/fiber-optic-transceivers/",
    type: "distributor_lead_time",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 6000),
  },
  {
    name: "FierceTelecom — Optical News",
    url: "https://www.fiercetelecom.com/optical",
    type: "supply_chain",
    fetchText: (html) => html.replace(/<[^>]+>/g, " ").replace(/\s+/g, " ").substring(0, 8000),
  },
];

async function saveIntelItem(
  item: Awaited<ReturnType<typeof extractMarketIntel>>,
  source: IntelSource,
  url: string
): Promise<void> {
  if (!item.is_relevant || item.confidence < 0.5) return;

  await pool.query(
    `INSERT INTO market_intelligence
       (intel_type, title, summary, relevance_score, technologies,
        buy_signal_implication, impact_horizon_months, source_url, source_name, published_at)
     VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
     ON CONFLICT DO NOTHING`,
    [
      item.intel_type,
      item.title.substring(0, 500),
      item.summary,
      item.confidence,
      item.technologies,
      item.buy_signal_implication,
      item.impact_horizon_months,
      url,
      source.name,
      item.published_at ? new Date(item.published_at) : null,
    ]
  );
  console.log(`[market-intel] Saved: ${item.title.substring(0, 60)}... (${item.buy_signal_implication})`);
}

export async function scrapeMarketIntelligence(): Promise<void> {
  console.log("[market-intel] Starting market intelligence scrape...");
  let processed = 0;

  const crawler = new CheerioCrawler({
    maxRequestsPerCrawl: SOURCES.length + 20,
    maxConcurrency: 2,
    requestHandlerTimeoutSecs: 30,

    async requestHandler({ request, body }) {
      const html = body.toString();
      const source = SOURCES.find((s) => request.url.startsWith(s.url.split("?")[0]));
      if (!source) return;

      const text = source.fetchText(html);
      if (text.length < 200) {
        console.warn(`[market-intel] Too little text from ${request.url}`);
        return;
      }

      try {
        const intel = await extractMarketIntel(text, request.url, source.name);
        await saveIntelItem(intel, source, request.url);
        processed++;
      } catch (err) {
        console.error(`[market-intel] LLM error for ${request.url}:`, err);
      }
    },

    async failedRequestHandler({ request }) {
      console.warn(`[market-intel] Failed: ${request.url}`);
    },
  }, makeCrawleeConfig("market-intel"));

  await crawler.addRequests(SOURCES.map((s) => ({ url: s.url })));
  await crawler.run();

  console.log(`[market-intel] Done. Processed ${processed}/${SOURCES.length} sources.`);
}

// ─────────────────────────────────────────────────────────────────────────────
// ABC Classification computation — run after each major scrape cycle
// ─────────────────────────────────────────────────────────────────────────────

export async function computeAbcClassification(): Promise<void> {
  console.log("[abc] Computing ABC classification...");

  await pool.query(`
    INSERT INTO abc_classification
      (transceiver_id, abc_class, obs_90d, compat_count, vendor_count, price_volatility, demand_score, supply_risk)
    SELECT
      t.id,
      CASE
        WHEN obs_90d > 50 AND compat_count > 100 THEN 'A'
        WHEN obs_90d > 15 OR compat_count > 30    THEN 'B'
        ELSE 'C'
      END AS abc_class,
      obs_90d,
      compat_count,
      vendor_count,
      price_volatility,
      -- demand score 0-100: weighted combination
      LEAST(100, (obs_90d * 0.5 + compat_count * 0.3 + vendor_count * 5)) AS demand_score,
      CASE
        WHEN price_volatility > 0.3 THEN 'high'
        WHEN price_volatility > 0.1 THEN 'medium'
        ELSE 'low'
      END AS supply_risk
    FROM transceivers t
    LEFT JOIN (
      SELECT transceiver_id,
        COUNT(*) FILTER (WHERE time > NOW() - INTERVAL '90 days') AS obs_90d,
        STDDEV(price) / NULLIF(AVG(price), 0) AS price_volatility,
        COUNT(DISTINCT source_vendor_id) AS vendor_count
      FROM price_observations
      GROUP BY transceiver_id
    ) po ON po.transceiver_id = t.id
    LEFT JOIN (
      SELECT transceiver_id, COUNT(*) AS compat_count
      FROM compatibility
      WHERE status = 'compatible'
      GROUP BY transceiver_id
    ) co ON co.transceiver_id = t.id
    WHERE t.data_confidence != 'garbage' OR t.data_confidence IS NULL
    ON CONFLICT (transceiver_id) DO UPDATE SET
      abc_class        = EXCLUDED.abc_class,
      obs_90d          = EXCLUDED.obs_90d,
      compat_count     = EXCLUDED.compat_count,
      vendor_count     = EXCLUDED.vendor_count,
      price_volatility = EXCLUDED.price_volatility,
      demand_score     = EXCLUDED.demand_score,
      supply_risk      = EXCLUDED.supply_risk,
      computed_at      = NOW()
  `);

  const stats = await pool.query(`
    SELECT abc_class, COUNT(*) AS count FROM abc_classification GROUP BY abc_class ORDER BY abc_class
  `);
  console.log("[abc] Classification done:", stats.rows.map((r) => `${r.abc_class}: ${r.count}`).join(", "));
}

// ─────────────────────────────────────────────────────────────────────────────
// Reorder Signal computation
// ─────────────────────────────────────────────────────────────────────────────

export async function computeReorderSignals(): Promise<void> {
  console.log("[reorder] Computing reorder signals...");

  // Get all transceivers with enough data
  const transceivers = await pool.query(`
    SELECT
      t.id, t.part_number, t.standard_name, t.speed_gbps, t.form_factor,
      ac.abc_class, ac.price_volatility, ac.supply_risk,
      -- Price trend: is price rising or falling?
      (SELECT AVG(price) FROM price_observations WHERE transceiver_id = t.id AND time > NOW() - INTERVAL '14 days') AS price_recent,
      (SELECT AVG(price) FROM price_observations WHERE transceiver_id = t.id AND time BETWEEN NOW() - INTERVAL '60 days' AND NOW() - INTERVAL '14 days') AS price_older,
      -- Stock trend: how many vendors show in_stock recently?
      (SELECT COUNT(*) FROM stock_snapshots WHERE transceiver_id = t.id AND stock_level = 'in_stock' AND scraped_at > NOW() - INTERVAL '7 days') AS in_stock_recent,
      (SELECT COUNT(*) FROM stock_snapshots WHERE transceiver_id = t.id AND stock_level = 'out_of_stock' AND scraped_at > NOW() - INTERVAL '7 days') AS oos_recent,
      -- Lead time
      (SELECT AVG(lead_time_days) FROM stock_snapshots WHERE transceiver_id = t.id AND lead_time_days IS NOT NULL AND scraped_at > NOW() - INTERVAL '30 days') AS avg_lead_time_days,
      -- Lifecycle events
      (SELECT MAX(impact_level) FROM product_lifecycle_events WHERE transceiver_id = t.id OR technology = t.speed_gbps::text || 'G') AS lifecycle_impact
    FROM transceivers t
    LEFT JOIN abc_classification ac ON ac.transceiver_id = t.id
    WHERE (t.data_confidence != 'garbage' OR t.data_confidence IS NULL)
  `);

  let computed = 0;
  for (const row of transceivers.rows) {
    const reasons: string[] = [];
    let signal: "buy_now" | "wait" | "hold" | "monitor" = "monitor";
    let strength = 0.3;

    const priceTrend = row.price_recent && row.price_older
      ? (row.price_recent - row.price_older) / row.price_older
      : null;

    const stockTrend =
      row.oos_recent > 2 ? "declining" :
      row.in_stock_recent > 2 ? "stable" : "unknown";

    const leadTimeWeeks = row.avg_lead_time_days ? Math.ceil(row.avg_lead_time_days / 7) : null;

    // Signal logic
    if (row.lifecycle_impact === "critical" || row.lifecycle_impact === "high") {
      signal = "buy_now"; strength = 0.9;
      reasons.push("EOL/critical lifecycle event detected");
    } else if (stockTrend === "declining" && row.abc_class === "A") {
      signal = "buy_now"; strength = 0.8;
      reasons.push("Stock declining at multiple vendors (A-product)");
    } else if (leadTimeWeeks && leadTimeWeeks >= 12) {
      signal = "buy_now"; strength = 0.75;
      reasons.push(`Long lead time: ${leadTimeWeeks} weeks — order in advance`);
    } else if (priceTrend !== null && priceTrend < -0.10) {
      signal = "wait"; strength = 0.7;
      reasons.push(`Price falling ${Math.abs(Math.round(priceTrend * 100))}% — wait for floor`);
    } else if (priceTrend !== null && priceTrend > 0.10) {
      signal = "buy_now"; strength = 0.65;
      reasons.push(`Price rising ${Math.round(priceTrend * 100)}% — buy before further increase`);
    } else if (row.abc_class === "A" && stockTrend === "stable") {
      signal = "hold"; strength = 0.5;
      reasons.push("A-product, stable pricing and availability");
    } else if (row.abc_class === "C") {
      signal = "monitor"; strength = 0.3;
      reasons.push("C-product: low demand — order on demand only");
    }

    if (reasons.length === 0) reasons.push("Insufficient data for strong signal");

    await pool.query(
      `INSERT INTO reorder_signals
         (transceiver_id, signal, signal_strength, reasons, stock_trend, price_trend, lead_time_weeks)
       VALUES ($1, $2, $3, $4, $5, $6, $7)`,
      [
        row.id,
        signal,
        strength,
        JSON.stringify(reasons),
        stockTrend,
        priceTrend === null ? "unknown" : priceTrend > 0.05 ? "rising" : priceTrend < -0.05 ? "falling" : "stable",
        leadTimeWeeks,
      ]
    );
    computed++;
  }

  console.log(`[reorder] Computed ${computed} reorder signals.`);
}