import { writeFileSync } from "node:fs";

const cdpPort = process.env.CDP_PORT ?? "9229";
const baseUrl = process.env.SITE_URL ?? "http://127.0.0.1:4329";
const pages = await fetch(`http://127.0.0.1:${cdpPort}/json/list`).then((response) => response.json());
const page = pages.find((entry) => entry.type === "page");
if (!page) throw new Error(`CDP ${cdpPort} 没有可用页面`);

const socket = new WebSocket(page.webSocketDebuggerUrl);
await new Promise((resolve, reject) => {
  socket.addEventListener("open", resolve, { once: true });
  socket.addEventListener("error", reject, { once: true });
});

let nextId = 0;
const pending = new Map();
const exceptions = [];
socket.addEventListener("message", (event) => {
  const message = JSON.parse(event.data);
  if (message.id && pending.has(message.id)) {
    const { resolve, reject } = pending.get(message.id);
    pending.delete(message.id);
    if (message.error) reject(new Error(message.error.message));
    else resolve(message.result);
  }
  if (message.method === "Runtime.exceptionThrown") {
    exceptions.push(message.params.exceptionDetails.exception?.description ?? message.params.exceptionDetails.text);
  }
});

const command = (method, params = {}) => new Promise((resolve, reject) => {
  const id = ++nextId;
  pending.set(id, { resolve, reject });
  socket.send(JSON.stringify({ id, method, params }));
});
const pause = (milliseconds) => new Promise((resolve) => setTimeout(resolve, milliseconds));
const evaluate = async (expression) => {
  const result = await command("Runtime.evaluate", { expression, returnByValue: true, awaitPromise: true });
  if (result.exceptionDetails) throw new Error(result.exceptionDetails.exception?.description ?? result.exceptionDetails.text);
  return result.result.value;
};
const navigate = async (path) => {
  await command("Page.navigate", { url: `${baseUrl}${path}` });
  for (let attempt = 0; attempt < 100; attempt += 1) {
    await pause(100);
    if (await evaluate("document.readyState === 'complete'")) return;
  }
  throw new Error(`${path} 加载超时`);
};
const screenshot = async (path) => {
  const result = await command("Page.captureScreenshot", { format: "png", captureBeyondViewport: false });
  writeFileSync(path, Buffer.from(result.data, "base64"));
};

await command("Page.enable");
await command("Runtime.enable");
await command("Emulation.setDeviceMetricsOverride", {
  width: 1440,
  height: 1100,
  deviceScaleFactor: 1,
  mobile: false,
});
await navigate("/k3/");

const desktop = await evaluate(`(() => {
  const root = document.querySelector("[data-spike-lab]");
  root.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -78);
  const text = (selector) => root.querySelector(selector)?.textContent.trim();
  const panel = () => root.querySelector("[data-spike-panel]:not([hidden])")?.dataset.spikePanel;
  const points = (selector) => root.querySelector(selector)?.getAttribute("points");
  const setSelect = (selector, value) => {
    const node = root.querySelector(selector);
    node.value = value;
    node.dispatchEvent(new Event("change", { bubbles: true }));
  };

  const initial = {
    panel: panel(),
    tabs: root.querySelectorAll("[data-spike-tab]").length,
    panels: root.querySelectorAll("[data-spike-panel]").length,
    ledger: root.querySelectorAll(".spike-ledger article").length,
    trajectoryPoints: root.querySelectorAll("[data-spike-time-points] circle").length,
    trajectoryLine: points("[data-spike-time-line]"),
    boundary: root.textContent.includes("不是训练出的 uniform 模型") &&
      root.textContent.includes("不是 70.2% 因果贡献"),
  };
  root.querySelector('[data-spike-time-metric="population_cv"]').click();
  setSelect("[data-spike-time-seed]", "2026073003");
  const trajectoryChanged = {
    title: text("[data-spike-time-title]"),
    state: text("[data-spike-time-state]"),
    line: points("[data-spike-time-line]"),
    thresholdHidden: getComputedStyle(root.querySelector("[data-spike-time-threshold]")).display === "none",
  };

  root.querySelector('[data-spike-tab="positions"]').click();
  root.querySelector('[data-spike-position="pre_mlp_input"]').click();
  setSelect("[data-spike-position-seed]", "2026073002");
  const positions = {
    panel: panel(),
    buttons: root.querySelectorAll("[data-spike-position]").length,
    state: text("[data-spike-position-state]"),
    contrast: text("[data-spike-position-contrast]"),
    peak: text("[data-spike-position-peak]"),
    peakValue: text("[data-spike-position-peak-value]"),
    pointCount: root.querySelectorAll("[data-spike-position-points] circle").length,
  };

  root.querySelector('[data-spike-tab="reductions"]').click();
  setSelect("[data-spike-reduction-seed]", "2026073003");
  setSelect("[data-spike-reduction]", "token_rms_median");
  const reductions = {
    panel: panel(),
    rows: root.querySelectorAll(".reduction-table tbody tr").length,
    state: text("[data-spike-reduction-state]"),
    contrast: text("[data-spike-reduction-contrast]"),
    overlap: text("[data-spike-reduction-overlap]"),
    rho: text("[data-spike-reduction-rho]"),
    pointCount: root.querySelectorAll("[data-spike-reduction-points] circle").length,
  };

  root.querySelector('[data-spike-tab="intervention"]').click();
  setSelect("[data-spike-intervention-seed]", "2026073002");
  const intervention = {
    panel: panel(),
    lines: root.querySelectorAll("[data-spike-intervention-line]").length,
    keyDrop: text("[data-spike-key-drop]"),
    valueDrop: text("[data-spike-value-drop]"),
    peakShift: text("[data-spike-peak-shift]"),
    linePoints: [...root.querySelectorAll("[data-spike-intervention-line]")].map((node) => node.getAttribute("points").split(" ").length),
    forwardIdentity: root.textContent.includes("same logits · same loss"),
  };

  root.querySelector('[data-spike-tab="mixer"]').click();
  const mixerInitial = {
    panel: panel(),
    points: root.querySelectorAll("[data-spike-mixer-points] circle").length,
    pearson: text("[data-spike-mixer-pearson]"),
    spearman: text("[data-spike-mixer-spearman]"),
    title: text("[data-spike-mixer-title]"),
  };
  root.querySelector('[data-spike-mixer-metric="mlp_entropy"]').click();
  const mixerChanged = {
    points: root.querySelectorAll("[data-spike-mixer-points] circle").length,
    pearson: text("[data-spike-mixer-pearson]"),
    spearman: text("[data-spike-mixer-spearman]"),
    title: text("[data-spike-mixer-title]"),
  };

  const first = root.querySelector('[data-spike-tab="trajectory"]');
  first.focus();
  first.dispatchEvent(new KeyboardEvent("keydown", { key: "ArrowRight", bubbles: true }));
  const keyboard = {
    selected: root.querySelector('[data-spike-tab][aria-selected="true"]').dataset.spikeTab,
    panel: panel(),
  };

  return {
    initial, trajectoryChanged, positions, reductions, intervention, mixerInitial, mixerChanged, keyboard,
    documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
    rootOverflow: root.scrollWidth - root.clientWidth,
  };
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-k3-attnres-spike-desktop.png");

await command("Emulation.setDeviceMetricsOverride", {
  width: 390,
  height: 844,
  deviceScaleFactor: 1,
  mobile: true,
});
await navigate("/k3/");
const mobile = await evaluate(`(() => {
  const root = document.querySelector("[data-spike-lab]");
  root.scrollIntoView({ block: "start", behavior: "instant" });
  window.scrollBy(0, -64);
  root.querySelector('[data-spike-tab="intervention"]').click();
  return {
    tabs: root.querySelectorAll("[data-spike-tab]").length,
    ledger: root.querySelectorAll(".spike-ledger article").length,
    visiblePanel: root.querySelector("[data-spike-panel]:not([hidden])")?.dataset.spikePanel,
    lines: root.querySelectorAll("[data-spike-intervention-line]").length,
    documentOverflow: document.documentElement.scrollWidth - document.documentElement.clientWidth,
    rootOverflow: root.scrollWidth - root.clientWidth,
  };
})()`);
await pause(180);
await screenshot("/tmp/llm-atlas-k3-attnres-spike-mobile.png");

const report = { desktop, mobile, exceptions };
console.log(JSON.stringify(report, null, 2));

const numeric = (value) => Number.parseFloat(value.replace("−", "-").replace("%", ""));
const failures = [];
if (desktop.initial.panel !== "trajectory" || desktop.initial.tabs !== 5 || desktop.initial.panels !== 5 || desktop.initial.ledger !== 6 || desktop.initial.trajectoryPoints !== 6) failures.push("五视图或六点轨迹初始结构异常");
if (!desktop.initial.boundary) failures.push("因果与训练变体边界缺失");
if (!desktop.trajectoryChanged.title.includes("POPULATION CV") || !desktop.trajectoryChanged.state.includes("2026073003") || desktop.trajectoryChanged.line === desktop.initial.trajectoryLine || !desktop.trajectoryChanged.thresholdHidden) failures.push("轨迹 seed / metric 切换异常");
if (desktop.positions.panel !== "positions" || desktop.positions.buttons !== 6 || !desktop.positions.state.includes("MLP 前输入") || Math.abs(numeric(desktop.positions.contrast) - 4.527) > .001 || numeric(desktop.positions.peak) !== 21 || desktop.positions.pointCount !== 32) failures.push("六位置谱或 seed 切换异常");
if (desktop.reductions.panel !== "reductions" || desktop.reductions.rows !== 12 || !desktop.reductions.state.includes("Token RMS 中位数") || Math.abs(numeric(desktop.reductions.contrast) - 1.666) > .001 || desktop.reductions.overlap !== "3 / 5" || Math.abs(numeric(desktop.reductions.rho) - .934) > .001 || desktop.reductions.pointCount !== 32) failures.push("reduction robustness 视图异常");
if (desktop.intervention.panel !== "intervention" || desktop.intervention.lines !== 3 || Math.abs(numeric(desktop.intervention.keyDrop) + 1.93) > .01 || Math.abs(numeric(desktop.intervention.valueDrop) - 76.87) > .01 || desktop.intervention.peakShift !== "21 → 2" || desktop.intervention.linePoints.some((count) => count !== 32) || !desktop.intervention.forwardIdentity) failures.push("same-forward backward 干预视图异常");
if (desktop.mixerInitial.panel !== "mixer" || desktop.mixerInitial.points !== 30 || Math.abs(numeric(desktop.mixerInitial.pearson) - .690) > .001 || Math.abs(numeric(desktop.mixerInitial.spearman) - .693) > .001 || desktop.mixerChanged.points !== 30 || Math.abs(numeric(desktop.mixerChanged.pearson) + .636) > .001 || Math.abs(numeric(desktop.mixerChanged.spearman) + .640) > .001 || desktop.mixerInitial.title === desktop.mixerChanged.title) failures.push("mixer association 散点或指标切换异常");
if (desktop.keyboard.selected !== "positions" || desktop.keyboard.panel !== "positions") failures.push("键盘 tab 导航异常");
if (desktop.documentOverflow > 1 || desktop.rootOverflow > 1 || mobile.documentOverflow > 1 || mobile.rootOverflow > 1) failures.push("桌面或移动端出现文档级横向溢出");
if (mobile.tabs !== 5 || mobile.ledger !== 6 || mobile.visiblePanel !== "intervention" || mobile.lines !== 3) failures.push("移动端交互结构异常");
if (exceptions.length) failures.push(`浏览器异常：${exceptions.join(" | ")}`);

if (failures.length) {
  console.error(`\nFAIL\n- ${failures.join("\n- ")}`);
  process.exitCode = 1;
} else {
  console.log("\nPASS K3 AttnRes spike browser regression");
}

socket.close();