// Mock dati per il prototipo — rispecchiano gli schema di stocks.db
// (results_tool2 / results_tool3 / tool4 JSON) senza alterare i campi.

const WATCHLIST = [
  { symbol: "AMZN", name: "Amazon.com Inc.",     price: 218.42, base: 215.10 },
  { symbol: "INTC", name: "Intel Corporation",   price:  24.93, base:  24.30 },
  { symbol: "NOK",  name: "Nokia Oyj",           price:   4.58, base:   4.55 },
  { symbol: "MU",   name: "Micron Technology",   price: 121.66, base: 119.40 },
  { symbol: "MSFT", name: "Microsoft Corp.",     price: 446.81, base: 443.10 },
  { symbol: "ADBE", name: "Adobe Inc.",          price: 521.30, base: 526.40 },
  { symbol: "STX",  name: "Seagate Technology",  price:  98.74, base:  98.10 },
  { symbol: "RKLB", name: "Rocket Lab USA",      price:  19.04, base:  18.50 },
  { symbol: "HIMS", name: "Hims & Hers Health",  price:  14.81, base:  15.30 },
  { symbol: "CRWD", name: "CrowdStrike Holdings",price: 312.60, base: 307.90 },
];

// piccolo PRNG seedabile per dati deterministici
function rng(seed) {
  let s = seed | 0;
  return () => { s = (s * 1103515245 + 12345) & 0x7fffffff; return s / 0x7fffffff; };
}

// Genera ~156 candele 5m delle ultime 2 sessioni — orari ET
function makeCandles(symbol, basePrice, seed = 1) {
  const r = rng(seed);
  const now = Math.floor(Date.now() / 1000);
  const STEP = 5 * 60;
  const COUNT = 156;
  let price = basePrice;
  const out = [];
  let t = now - COUNT * STEP;
  // round t to last 5min boundary
  t = Math.floor(t / STEP) * STEP;
  for (let i = 0; i < COUNT; i++) {
    const vol = basePrice * 0.0025;
    const drift = (r() - 0.48) * vol * 1.4;
    const open = price;
    const close = Math.max(0.01, open + drift);
    const high = Math.max(open, close) + r() * vol;
    const low  = Math.min(open, close) - r() * vol;
    out.push({
      time: t + i * STEP,
      open: +open.toFixed(4),
      high: +high.toFixed(4),
      low: +low.toFixed(4),
      close: +close.toFixed(4),
    });
    price = close;
  }
  return out;
}

function tool2Forecast(basePrice, seed) {
  const r = rng(seed);
  // pct percentuali sul basePrice
  const trend = r() > 0.55 ? 1 : -1;
  const intensity = 0.4 + r() * 1.2;
  const exp = {
    expected_1h:  +(trend * intensity * 0.3 + (r()-0.5)*0.4).toFixed(2),
    expected_3h:  +(trend * intensity * 0.6 + (r()-0.5)*0.5).toFixed(2),
    expected_6h:  +(trend * intensity * 0.9 + (r()-0.5)*0.6).toFixed(2),
    expected_24h: +(trend * intensity * 1.6 + (r()-0.5)*0.9).toFixed(2),
    expected_2w:  +(trend * intensity * 3.5 + (r()-0.5)*1.6).toFixed(2),
  };
  const signal = exp.expected_24h > 0.8 ? "BUY" : exp.expected_24h < -0.8 ? "SELL" : "HOLD";
  return {
    signal,
    confidence: Math.round(60 + r()*30),
    confidence_real: Math.round(50 + r()*35),
    trend_1h: trend>0 ? "Up" : "Down",
    ...exp,
    timestamp: nowIso(),
    mode: r() > 0.5 ? "quick" : "full",
  };
}

function tool3Forecast(basePrice, seed) {
  const r = rng(seed + 7);
  const trend = r() > 0.6 ? 1 : -1;
  const i = 0.3 + r()*1.0;
  return {
    signal: r() > 0.66 ? "BUY" : r() > 0.33 ? "HOLD" : "SELL",
    score_total: Math.round(40 + r()*55),
    method: r() > 0.5 ? "EMA+RSI+MACD" : "Bollinger+ATR",
    sample_size: Math.round(120 + r()*200),
    h01: +(trend*i*0.25 + (r()-0.5)*0.3).toFixed(2),
    h03: +(trend*i*0.55 + (r()-0.5)*0.4).toFixed(2),
    h06: +(trend*i*0.80 + (r()-0.5)*0.5).toFixed(2),
    h24: +(trend*i*1.40 + (r()-0.5)*0.8).toFixed(2),
    h2w: +(trend*i*3.20 + (r()-0.5)*1.4).toFixed(2),
    timestamp: nowIso(),
  };
}

function tool4Forecast(seed) {
  const r = rng(seed + 13);
  const sent = +(((r()-0.45) * 2)).toFixed(2);
  const trend = sent >= 0 ? 1 : -1;
  return {
    signal: sent > 0.3 ? "BUY" : sent < -0.3 ? "SELL" : "HOLD",
    news_impact: r() > 0.66 ? "HIGH" : r() > 0.3 ? "MEDIUM" : "LOW",
    sentiment: sent,
    fc_1h:  +(trend*0.3 + (r()-0.5)*0.2).toFixed(2),
    fc_3h:  +(trend*0.6 + (r()-0.5)*0.3).toFixed(2),
    fc_6h:  +(trend*0.9 + (r()-0.5)*0.4).toFixed(2),
    fc_24h: +(trend*1.4 + (r()-0.5)*0.7).toFixed(2),
    confidence: Math.round(45 + r()*40),
    timestamp: nowIso(),
  };
}

function nowIso() {
  const d = new Date();
  return d.toISOString().slice(0, 19).replace("T", " ");
}

// Costruisce ALL_DATA per il dashboard
const ALL_DATA = {};
WATCHLIST.forEach((w, idx) => {
  const seed = w.symbol.charCodeAt(0)*31 + w.symbol.length*7 + idx;
  const candles = makeCandles(w.symbol, w.base, seed);
  const lastClose = candles[candles.length-1].close;
  WATCHLIST[idx].price = +lastClose.toFixed(2);
  WATCHLIST[idx].deltaPct = +(((lastClose - w.base) / w.base) * 100).toFixed(2);

  const t2 = tool2Forecast(w.base, seed);
  const t3 = tool3Forecast(w.base, seed);
  const t4 = tool4Forecast(seed);
  ALL_DATA[w.symbol] = {
    candles,
    tool2_info: t2, tool3_info: t3, tool4_info: t4,
    last_candle_time: candles[candles.length-1].time,
  };
});

// Calendar events — richer mock data con sentiment e orari
const CALENDAR_EVENTS = (() => {
  const today = new Date();
  const events = {};
  const add = (dayOffset, ev) => {
    const d = new Date(today);
    d.setDate(today.getDate() + dayOffset);
    const key = `${d.getFullYear()}-${String(d.getMonth()+1).padStart(2,"0")}-${String(d.getDate()).padStart(2,"0")}`;
    events[key] = events[key] || [];
    events[key].push(ev);
  };
  // sentiment: -3 (bearish) → +3 (bullish)
  add( 0, { company:"Amazon.com Inc.",      sym:"AMZN", title:"Risultati",          type:"earnings", sentiment: 1, time:"22:00" });
  add( 1, { company:"Micron Technology",    sym:"MU",   title:"Q3 Risultati",       type:"earnings", sentiment: 2, time:"22:00" });
  add( 1, { company:"Rocket Lab USA",       sym:"RKLB", title:"Risultati",          type:"earnings", sentiment: 3, time:"22:00" });
  add( 2, { company:"Federal Reserve",      sym:"FED",  title:"FOMC Minutes",       type:"fed",      sentiment:-1, time:"20:00" });
  add( 3, { company:"Intel Corporation",    sym:"INTC", title:"Risultati",          type:"earnings", sentiment:-1, time:"22:00" });
  add( 5, { company:"CrowdStrike Holdings", sym:"CRWD", title:"Investor Day",       type:"earnings", sentiment: 2, time:"14:00" });
  add( 5, { company:"Seagate Technology",   sym:"STX",  title:"Risultati",          type:"earnings", sentiment: 1, time:"22:00" });
  add( 7, { company:"US Dept. of Labor",    sym:"CPI",  title:"CPI Release",        type:"macro",    sentiment:-1, time:"14:30" });
  add( 9, { company:"Adobe Inc.",           sym:"ADBE", title:"Risultati",          type:"earnings", sentiment: 3, time:"22:00" });
  add(-2, { company:"Jerome Powell",        sym:"FED",  title:"Powell Speech",      type:"fed",      sentiment:-2, time:"16:30" });
  add(-3, { company:"Microsoft Corp.",      sym:"MSFT", title:"Risultati",          type:"earnings", sentiment: 2, time:"22:00" });
  add(-3, { company:"Nokia Oyj",            sym:"NOK",  title:"Quarterly Results",  type:"earnings", sentiment: 1, time:"08:00" });
  add( 4, { company:"Bureau of Econ. Analysis", sym:"GDP", title:"GDP Q1 2026",    type:"macro",    sentiment: 1, time:"14:30" });
  add(12, { company:"Hims & Hers Health",   sym:"HIMS", title:"Risultati",          type:"earnings", sentiment: 1, time:"22:00" });
  add( 0, { company:"Hims & Hers Health",   sym:"HIMS", title:"Investor Call",      type:"earnings", sentiment: 2, time:"14:00" });
  add( 3, { company:"NVIDIA Corporation",   sym:"NVDA", title:"Risultati",          type:"earnings", sentiment: 3, time:"22:00" });
  return events;
})();

// Report data — righe per Tool2, Tool3, Tool4 (stile tabella originale)
function makeReportRows() {
  const rows = { tool2: [], tool3: [], tool4: [] };
  const today = new Date();
  const fmt = (d) => `${d.getFullYear()}-${String(d.getMonth()+1).padStart(2,"0")}-${String(d.getDate()).padStart(2,"0")}`;
  const dates = [fmt(today)];
  // aggiungi 2 giorni feriali precedenti
  let tmp = new Date(today);
  let added = 0;
  while (added < 2) {
    tmp.setDate(tmp.getDate()-1);
    if (tmp.getDay() !== 0 && tmp.getDay() !== 6) { dates.push(fmt(tmp)); added++; }
  }

  dates.forEach((date, di) => {
    WATCHLIST.slice(0, 6).forEach((w, wi) => {
      const seed = w.symbol.charCodeAt(0)*17 + di*31 + wi*7;
      const t2   = tool2Forecast(w.base, seed);
      const t3   = tool3Forecast(w.base, seed+5);
      const t4   = tool4Forecast(seed+11);
      const rndP = (p, pct) => Math.round(p * (1 + pct/100) * 2) / 2;
      const hour = 9 + Math.floor(wi/2);
      const min  = wi%2===0 ? "20" : "40";
      const timeStr = `${String(hour).padStart(2,"0")}:${min}`;

      rows.tool2.push({
        date, symbol: w.symbol, time: timeStr,
        mode: t2.mode, signal: t2.signal,
        conf: t2.confidence, conf_real: t2.confidence_real,
        trend1h: t2.trend_1h,
        close: w.price,
        h1: +(t2.expected_1h).toFixed(2), h3: +(t2.expected_3h).toFixed(2),
        h6: +(t2.expected_6h).toFixed(2), h24: +(t2.expected_24h).toFixed(2),
        h2w: +(t2.expected_2w).toFixed(2),
        target: rndP(w.price, t2.expected_24h > 0 ? t2.expected_24h*1.3 : t2.expected_24h*0.8),
        stop:   rndP(w.price, t2.expected_24h > 0 ? -Math.abs(t2.expected_1h)*0.5 : Math.abs(t2.expected_1h)*0.5),
      });

      rows.tool3.push({
        date, symbol: w.symbol, time: `${String(hour).padStart(2,"0")}:${wi%2===0?"22":"42"}`,
        signal: t3.signal, score: t3.score_total,
        method: t3.method, sample_n: t3.sample_size,
        close: w.price,
        h1: +(t3.h01).toFixed(2), h3: +(t3.h03).toFixed(2),
        h6: +(t3.h06).toFixed(2), h24: +(t3.h24).toFixed(2),
        h2w: +(t3.h2w).toFixed(2),
        target: rndP(w.price, t3.h24 > 0 ? t3.h24*1.3 : t3.h24*0.8),
        stop:   rndP(w.price, t3.h24 > 0 ? -Math.abs(t3.h01)*0.5 : Math.abs(t3.h01)*0.5),
      });

      rows.tool4.push({
        date, symbol: w.symbol, time: `${String(hour).padStart(2,"0")}:${wi%2===0?"25":"45"}`,
        signal: t4.signal, news_impact: t4.news_impact,
        sentiment: +(t4.sentiment).toFixed(2), conf: t4.confidence,
        close: w.price,
        h1: +(t4.fc_1h).toFixed(2), h3: +(t4.fc_3h).toFixed(2),
        h6: +(t4.fc_6h).toFixed(2), h24: +(t4.fc_24h).toFixed(2),
        target: rndP(w.price, t4.fc_24h > 0 ? t4.fc_24h*1.3 : t4.fc_24h*0.8),
        stop:   rndP(w.price, t4.fc_24h > 0 ? -Math.abs(t4.fc_1h)*0.5 : Math.abs(t4.fc_1h)*0.5),
      });
    });
  });
  return rows;
}
const REPORT_DATA = makeReportRows();

// Recent log lines
const SAMPLE_LOGS = [
  ["2026-05-16 14:32:01", "info", "tool1.collector", "Fetching 5m OHLCV for 10 symbols"],
  ["2026-05-16 14:32:04", "ok",   "tool1.collector", "Saved 156 candles AMZN → stocks.db"],
  ["2026-05-16 14:32:04", "ok",   "tool1.collector", "Saved 156 candles INTC → stocks.db"],
  ["2026-05-16 14:32:09", "info", "tool2.agent",     "Prompt builder: lookback=156 mode=quick"],
  ["2026-05-16 14:32:18", "ok",   "tool2.agent",     "AMZN signal=BUY confidence=78 (real=71)"],
  ["2026-05-16 14:32:31", "ok",   "tool3.analyzer",  "AMZN score=72 method=EMA+RSI+MACD"],
  ["2026-05-16 14:32:42", "warn", "tool4.news",      "Finnhub rate limit reached, backing off 30s"],
  ["2026-05-16 14:33:14", "ok",   "tool4.news",      "AMZN sentiment=+0.32 impact=MEDIUM"],
  ["2026-05-16 14:33:14", "info", "tool6.telegram",  "Notification sent → BUY AMZN +1.42% 24h"],
  ["2026-05-16 14:35:00", "info", "tool1.collector", "Scheduler tick — next run 14:40"],
  ["2026-05-16 14:35:18", "err",  "tool4.news",      "Perplexity 502 Bad Gateway — retry 1/3"],
  ["2026-05-16 14:35:48", "ok",   "tool4.news",      "Perplexity recovered on retry"],
  ["2026-05-16 14:40:00", "info", "tool1.collector", "Fetching 5m OHLCV for 10 symbols"],
  ["2026-05-16 14:40:06", "ok",   "tool1.collector", "Saved 12 new candles across watchlist"],
];

// Sample admin users
const SAMPLE_USERS = [
  { id: 1, username: "marco",  is_admin: true,  totp_enabled: true,  telegram_chat_id: "129384712", created_at: "2025-08-12 09:14:00" },
  { id: 2, username: "luca",   is_admin: false, totp_enabled: true,  telegram_chat_id: "904521133", created_at: "2025-09-03 17:22:00" },
  { id: 3, username: "giulia", is_admin: false, totp_enabled: false, telegram_chat_id: "",          created_at: "2025-11-21 11:08:00" },
];

window.WATCHLIST = WATCHLIST;
window.ALL_DATA = ALL_DATA;
window.CALENDAR_EVENTS = CALENDAR_EVENTS;
window.REPORT_DATA = REPORT_DATA;
window.SAMPLE_LOGS = SAMPLE_LOGS;
window.SAMPLE_USERS = SAMPLE_USERS;