/**
 * Local stand-in for the model wire.
 *
 * The app server speaks the OpenAI Responses API (`wire_api = "responses"`):
 * one POST to `{base_url}/responses` answered with a `text/event-stream` of
 * typed events. Producing that stream here keeps every byte of the
 * conversation on this machine — no model provider is ever contacted.
 *
 * Extracted from `web-server.mjs` so the local model lives in one place: the
 * host serves it, and any other local caller gets the identical wire shape.
 */

/** Read a JSON request body with a hard size cap. */
export const readJsonBody = (req, limit = 4_000_000) =>
  new Promise((resolve, reject) => {
    let raw = "";
    req.setEncoding("utf8");
    req.on("data", (c) => {
      raw += c;
      if (raw.length > limit) reject(new Error("body too large"));
    });
    req.on("end", () => {
      try {
        resolve(raw ? JSON.parse(raw) : {});
      } catch (err) {
        reject(err);
      }
    });
    req.on("error", reject);
  });

/** Collect every text fragment the app server put in the request. */
const collectText = (payload) => {
  const texts = [];
  const collect = (item) => {
    if (!item || typeof item !== "object") return;
    if (typeof item.text === "string") texts.push(item.text);
    else if (Array.isArray(item.content)) for (const c of item.content) collect(c);
    else if (typeof item.content === "string") texts.push(item.content);
  };
  for (const item of payload?.input ?? []) collect(item);
  if (typeof payload?.input === "string") texts.push(payload.input);
  return texts.join(" ");
};

/**
 * Craft a deterministic local reply from the user's input.
 *
 * Deterministic arithmetic answers make end-to-end checks (`5+5 -> 10`)
 * readable at a glance; anything else echoes back what arrived so a wrong
 * request shape is immediately visible in the UI.
 */
export const mockReplyFor = (payload) => {
  const joined = collectText(payload);
  if (/5\s*\+\s*5/i.test(joined)) return "10";
  if (/3\s*\+\s*3/i.test(joined)) return "6";
  if (/2\s*\+\s*2/i.test(joined)) return "4";
  if (/hello/i.test(joined)) return "hello from the local mock model";
  return `Local mock reply. I received: ${joined.slice(0, 200) || "(empty input)"}`;
};

let callCount = 0;

const sseEvent = (res, type, data) => {
  res.write(`event: ${type}\ndata: ${JSON.stringify(data)}\n\n`);
};

/**
 * Answer `/mockrelay/v1/*` — the model provider surface.
 *
 * @param {import("node:http").IncomingMessage} req
 * @param {import("node:http").ServerResponse} res
 * @param {string} urlPath  path beginning with `/mockrelay`
 * @param {{ onRequest?: (line: string) => void }} [opts]
 */
export const serveMockRelay = (req, res, urlPath, opts = {}) => {
  opts.onRequest?.(`${req.method} ${urlPath} (mock model relay)`);

  const route = urlPath.replace(/^\/mockrelay/, "") || "/";
  const json = (obj, status = 200) => {
    res.writeHead(status, { "content-type": "application/json; charset=utf-8", "cache-control": "no-store" });
    res.end(JSON.stringify(obj));
  };

  // Model list — keeps provider probes happy.
  if (route === "/v1/models" || route === "/models") {
    json({ object: "list", data: [{ id: "gpt-6.1-sol", object: "model", owned_by: "local" }] });
    return;
  }

  if (route === "/v1/responses" || route === "/responses") {
    if (req.method !== "POST") {
      res.writeHead(405).end("method not allowed");
      return;
    }
    readJsonBody(req)
      .then((payload) => {
        const reply = mockReplyFor(payload);
        const model = typeof payload?.model === "string" ? payload.model : "gpt-6.1-sol";
        const n = ++callCount;
        const respId = `resp_local_${Date.now().toString(36)}_${n}`;
        const msgId = `msg_local_${n}`;
        const now = Math.floor(Date.now() / 1000);

        const responseShell = (status, extra = {}) => ({
          id: respId,
          object: "response",
          created_at: now,
          status,
          model,
          output: [],
          usage: null,
          ...extra,
        });

        res.writeHead(200, {
          "content-type": "text/event-stream; charset=utf-8",
          "cache-control": "no-store",
          connection: "keep-alive",
        });

        sseEvent(res, "response.created", { type: "response.created", sequence_number: 0, response: responseShell("in_progress") });
        sseEvent(res, "response.in_progress", { type: "response.in_progress", sequence_number: 1, response: responseShell("in_progress") });

        const messageItem = { type: "message", id: msgId, role: "assistant", status: "in_progress", content: [] };
        sseEvent(res, "response.output_item.added", {
          type: "response.output_item.added",
          sequence_number: 2,
          output_index: 0,
          item: messageItem,
        });

        // Stream the reply in small chunks so the renderer's delta path runs.
        const chunks = reply.match(/.{1,8}/gs) ?? [reply];
        let seq = 3;
        for (const chunk of chunks) {
          sseEvent(res, "response.output_text.delta", {
            type: "response.output_text.delta",
            sequence_number: seq++,
            item_id: msgId,
            output_index: 0,
            content_index: 0,
            delta: chunk,
          });
        }

        const completedItem = {
          type: "message",
          id: msgId,
          role: "assistant",
          status: "completed",
          content: [{ type: "output_text", text: reply, annotations: [] }],
        };
        sseEvent(res, "response.output_text.done", {
          type: "response.output_text.done",
          sequence_number: seq++,
          item_id: msgId,
          output_index: 0,
          content_index: 0,
          text: reply,
        });
        sseEvent(res, "response.output_item.done", {
          type: "response.output_item.done",
          sequence_number: seq++,
          output_index: 0,
          item: completedItem,
        });

        const finalResponse = responseShell("completed", {
          output: [completedItem],
          usage: {
            input_tokens: 0,
            input_tokens_details: { cached_tokens: 0 },
            output_tokens: 1,
            output_tokens_details: { reasoning_tokens: 0 },
            total_tokens: 1,
          },
        });
        sseEvent(res, "response.completed", { type: "response.completed", sequence_number: seq++, response: finalResponse });
        res.end();
      })
      .catch(() => {
        res.writeHead(400, { "content-type": "application/json; charset=utf-8" });
        res.end(JSON.stringify({ error: { message: "bad request body" } }));
      });
    return;
  }

  json({ error: { message: `mock relay: unhandled path ${route}` } }, 404);
};

/**
 * Answer the ChatGPT-backend surface (`/mock/*`) with truthful local shapes.
 *
 * Every response is either the exact JSON the desktop main process would hand
 * over, or an empty-but-valid object. The point is that nothing errors and
 * nothing leaves the machine.
 */
export const serveMockBackend = (req, res, urlPath, opts = {}) => {
  opts.onRequest?.(`${req.method} ${urlPath}`);
  const json = (obj, status = 200) => {
    res.writeHead(status, { "content-type": "application/json; charset=utf-8", "cache-control": "no-store" });
    res.end(JSON.stringify(obj));
  };
  const p = urlPath.replace(/^\/mock/, "") || "/";

  // Cloud MCP endpoint (ChatGPT-hosted app connectors). 404 makes the app
  // server mark these unavailable immediately — a semantically empty 200
  // would be retried and block thread startup on MCP enumeration.
  if (/^\/api\/codex\/ps\/mcp/.test(p)) {
    json({ error: { message: "cloud connectors are unavailable in a local build" } }, 404);
    return;
  }
  if (/^\/wham\/tasks\/list/.test(p)) {
    json({ items: [], cursor: null });
    return;
  }
  if (/plugin/i.test(p)) {
    json({ schema_version: 1, fetched_at: new Date().toISOString(), plugins: [] });
    return;
  }
  json({});
};