63 lines
2.2 KiB
TypeScript
63 lines
2.2 KiB
TypeScript
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);
|
||
}
|
||
});
|
||
};
|