add reusable for win remote

ts/nni_manager/training_service/common/containerJobData.ts

@@ -12,3 +12,10 @@ else
   # Install nni
   python3 -m pip install --user --upgrade nni
 fi`;
+
+export const CONTAINER_INSTALL_NNI_SHELL_FORMAT_FOR_WIN: string =
+`python -c "import nni" 2>$error
+if ($error -ne ''){
+  python -m pip install --user --upgrade nni
+}
+exit`;

ts/nni_manager/training_service/remote_machine/shellExecutor.ts

@@ -30,10 +30,11 @@ class ShellExecutor {
     private readonly sshClient: Client;
     private readonly log: Logger;
     private tempPath: string = "";
-    private isWindows: boolean = false;
     private channelDefaultOutputs: string[] = [];
     private pythonPath: string | undefined;
 
+    public isWindows: boolean = false;
+
     constructor() {
         this.log = getLogger();
         this.sshClient = new Client();

ts/nni_manager/training_service/reusable/environments/remoteEnvironmentService.ts

@@ -10,7 +10,7 @@ import { getExperimentId } from '../../../common/experimentStartupInfo';
 import { getLogger, Logger } from '../../../common/log';
 import { EnvironmentInformation, EnvironmentService } from '../environment';
 import {
-    getExperimentRootDir,
+    getExperimentRootDir, getLogLevel,
 } from '../../../common/utils';
 import { TrialConfig } from '../../common/trialConfig';
 import { TrialConfigMetadataKey } from '../../common/trialConfigMetadataKey';
@@ -218,6 +218,27 @@ export class RemoteEnvironmentService extends EnvironmentService {
         this.remoteMachineMetaOccupiedMap.set(remoteEnvironment.rmMachineMeta, false);
     }
 
+    private async getScript(environment: EnvironmentInformation): Promise<string> {
+        const executor = await this.getExecutor(environment.id);
+        const logLevel = getLogLevel();
+        let script: string = environment.command;
+
+        if (executor.isWindows) {
+            const prepare = `mkdir envs\\${environment.id} && cd envs\\${environment.id}`;
+            const startrun = `powershell ..\\install_nni.ps1 && python -m nni.tools.trial_tool.trial_runner`;
+            const developingScript = "IF EXIST nni_trial_tool (ECHO \"nni_trial_tool exists already\") ELSE (mkdir nni_trial_tool && tar -xof ../nni_trial_tool.tar.gz -C ./nni_trial_tool) && pip3 install websockets";
+
+            script = logLevel == "debug" ? `${prepare} && ${developingScript} && ${startrun}` : `${prepare} && ${startrun}`;
+        }
+
+        script = `cd ${environment.runnerWorkingFolder} && \
+                ${script} --job_pid_file ${environment.runnerWorkingFolder}/pid \
+                1>${environment.runnerWorkingFolder}/trialrunner_stdout 2>${environment.runnerWorkingFolder}/trialrunner_stderr \
+                && echo $? \`date +%s%3N\` >${environment.runnerWorkingFolder}/code`;
+
+        return script;
+    }
+
     public async startEnvironment(environment: EnvironmentInformation): Promise<void> {
         if (this.sshConnectionPromises.length > 0) {
             await Promise.all(this.sshConnectionPromises);
@@ -268,11 +289,8 @@ export class RemoteEnvironmentService extends EnvironmentService {
             } else {
                 this.remoteExperimentRootDir = executor.getRemoteExperimentRootDir(getExperimentId());
             }
-            environment.runnerWorkingFolder = executor.joinPath(this.remoteExperimentRootDir, 'envs', environment.id);
-            environment.command = `cd ${this.remoteExperimentRootDir} && \
-                ${environment.command} --job_pid_file ${environment.runnerWorkingFolder}/pid \
-                1>${environment.runnerWorkingFolder}/trialrunner_stdout 2>${environment.runnerWorkingFolder}/trialrunner_stderr \
-                && echo $? \`date +%s%3N\` >${environment.runnerWorkingFolder}/code`;
+
+            environment.command = await this.getScript(environment);
             return Promise.resolve(true);
         }
     }

ts/nni_manager/training_service/reusable/trialDispatcher.ts

@@ -18,6 +18,7 @@ import { delay, getExperimentRootDir, getIPV4Address, getLogLevel, getVersion, m
 import { GPU_INFO, INITIALIZED, KILL_TRIAL_JOB, NEW_TRIAL_JOB, REPORT_METRIC_DATA, SEND_TRIAL_JOB_PARAMETER, STDOUT, TRIAL_END, VERSION_CHECK } from '../../core/commands';
 import { ScheduleResultType } from '../../training_service/common/gpuData';
 import { CONTAINER_INSTALL_NNI_SHELL_FORMAT } from '../common/containerJobData';
+import { CONTAINER_INSTALL_NNI_SHELL_FORMAT_FOR_WIN } from '../common/containerJobData';
 import { TrialConfig } from '../common/trialConfig';
 import { TrialConfigMetadataKey } from '../common/trialConfigMetadataKey';
 import { validateCodeDir } from '../common/util';
@@ -32,7 +33,6 @@ import { NFSSharedStorageService } from './shared_storages/nfsStorageService'
 import { AzureBlobSharedStorageService } from './shared_storages/azureblobStorageService'
 import { TrialDetail } from './trial';
 
-
 /**
  * It uses to manage jobs on training platforms 
  * and expose trial as trial job to upper level.
@@ -225,8 +225,10 @@ class TrialDispatcher implements TrainingService {
             const codeFileName = await storageService.copyDirectory(codeDir, envDir, true);
             storageService.rename(codeFileName, "nni-code.tar.gz");
 
-            const installFileName = storageService.joinPath(envDir, 'install_nni.sh');
+            const installFileName = storageService.joinPath(envDir, `install_nni.sh`);
+            const installFileNameForWin = storageService.joinPath(envDir, `install_nni.ps1`);
             await storageService.save(CONTAINER_INSTALL_NNI_SHELL_FORMAT, installFileName);
+            await storageService.save(CONTAINER_INSTALL_NNI_SHELL_FORMAT_FOR_WIN, installFileNameForWin);
 
             const runnerSettingsConfig = storageService.joinPath(envDir, "settings.json");
             await storageService.save(JSON.stringify(runnerSettings), runnerSettingsConfig);