import { app, ipcMain, shell } from "electron";
import { mkdir, stat } from "fs/promises";
import { db } from "../../core/db";
import log from "electron-log";
import path from "node:path";
import { downloadSeriesDicomFiles } from "../../core/pacs";
import { executeInferTask } from "../../core/alg";
import { InferDeviceEnum, InferStructuralEnum } from "../../core/alg.type";

export const registerCommonHandler = () => {
  ipcMain.handle("output:open", async () => {
    await db.read();
    const optPath = db.data.setting.outputPath;
    const resolvedPath = path.resolve(optPath);
    try {
      // 检查路径是否存在
      const stats = await stat(resolvedPath);
      if (stats.isDirectory()) shell.openPath(resolvedPath);
    } catch (error) {
      log.error(error);
      await mkdir(resolvedPath, { recursive: true });
      shell.openPath(resolvedPath);
    }
  });

  ipcMain.handle("device:infer:set", async (_event, inferDevice) => {
    try {
      await db.update(({ setting }) => ({ ...setting, inferDevice }));
      return { success: true, msg: `推理硬件修改为${inferDevice}` };
    } catch (error) {
      await db.update(({ setting }) => ({ ...setting, inferDevice }));
      log.error(error);
      return { success: false, msg: `操作失败` };
    }
  });

  ipcMain.on("model:infer", async (event, SeriesInstanceUIDs) => {
    console.log('SeriesInstanceUIDs', SeriesInstanceUIDs)
    // 构造推理任务参数列表
    const pu = InferDeviceEnum.GPU;
    const module = InferStructuralEnum.AORTA;
    const turbo = true;
    const seg_schedule = true;
    for (let i = 0; i < SeriesInstanceUIDs.length; i++) {
      const SeriesInstanceUID = SeriesInstanceUIDs[i];
      // 下载dicom到本地，获取文件夹路径
      const img_path = await downloadSeriesDicomFiles(SeriesInstanceUID);
      const save_path = path.join(
        app.getPath("userData"),
        "output",
        SeriesInstanceUID
      );
      const task = { save_path, pu, module, turbo, seg_schedule, img_path };
      console.log('infer task: ', task);
      const result = await executeInferTask(task, (data) => {
        console.log(data)
        event.reply('infer:progress', data)
      });
      console.log("end: ", result);
    }
  });
};