fix experiment import bug and add it cases: experiment import

docs/en_US/TrialExample/SklearnExamples.md

@@ -67,7 +67,7 @@ It is easy to use NNI in your scikit-learn code, there are only a few steps.
     "kernel": {"_type":"choice","_value":["linear", "rbf", "poly", "sigmoid"]},
     "degree": {"_type":"choice","_value":[1, 2, 3, 4]},
     "gamma": {"_type":"uniform","_value":[0.01, 0.1]},
-    "coef0 ": {"_type":"uniform","_value":[0.01, 0.1]}
+    "coef0": {"_type":"uniform","_value":[0.01, 0.1]}
   }
   ```
 

examples/trials/sklearn/classification/search_space.json

@@ -3,5 +3,5 @@
     "kernel": {"_type":"choice","_value":["linear", "rbf", "poly", "sigmoid"]},
     "degree": {"_type":"choice","_value":[1, 2, 3, 4]},
     "gamma": {"_type":"uniform","_value":[0.01, 0.1]},
-    "coef0 ": {"_type":"uniform","_value":[0.01, 0.1]}
+    "coef0": {"_type":"uniform","_value":[0.01, 0.1]}
 }

src/nni_manager/common/manager.ts

@@ -87,6 +87,7 @@ abstract class Manager {
     public abstract getExperimentProfile(): Promise<ExperimentProfile>;
     public abstract updateExperimentProfile(experimentProfile: ExperimentProfile, updateType: ProfileUpdateType): Promise<void>;
     public abstract importData(data: string): Promise<void>;
+    public abstract getImportedData(): Promise<string[]>;
     public abstract exportData(): Promise<string>;
 
     public abstract addCustomizedTrialJob(hyperParams: string): Promise<number>;

src/nni_manager/core/nnimanager.ts

@@ -108,6 +108,10 @@ class NNIManager implements Manager {
         return this.dataStore.storeTrialJobEvent('IMPORT_DATA', '', data);
     }
 
+    public getImportedData(): Promise<string[]> {
+        return this.dataStore.getImportedData();
+    }
+
     public async exportData(): Promise<string> {
         return this.dataStore.exportTrialHpConfigs();
     }

src/nni_manager/rest_server/restHandler.ts

@@ -47,6 +47,7 @@ class NNIRestHandler {
         this.getExperimentProfile(router);
         this.updateExperimentProfile(router);
         this.importData(router);
+        this.getImportedData(router);
         this.startExperiment(router);
         this.getTrialJobStatistics(router);
         this.setClusterMetaData(router);
@@ -143,6 +144,16 @@ class NNIRestHandler {
         });
     }
 
+    private getImportedData(router: Router): void {
+        router.get('/experiment/imported-data', (req: Request, res: Response) => {
+            this.nniManager.getImportedData().then((importedData: string[]) => {
+                res.send(JSON.stringify(importedData));
+            }).catch((err: Error) => {
+                this.handleError(err, res);
+            });
+        });
+    }
+
     private startExperiment(router: Router): void {
         router.post('/experiment', expressJoi(ValidationSchemas.STARTEXPERIMENT), (req: Request, res: Response) => {
             if (isNewExperiment()) {

src/nni_manager/rest_server/test/mockedNNIManager.ts

@@ -33,6 +33,10 @@ export class MockedNNIManager extends Manager {
     public importData(data: string): Promise<void> {
         return Promise.resolve();
     }
+    public getImportedData(): Promise<string[]> {
+        const ret: string[] = ["1", "2"];
+        return Promise.resolve(ret);
+    }
     public async exportData(): Promise<string> {
         const ret: string = '';
         return Promise.resolve(ret);

src/sdk/pynni/nni/msg_dispatcher.py

@@ -114,6 +114,7 @@ def handle_import_data(self, data):
         data: a list of dictionaries, each of which has at least two keys, 'parameter' and 'value'
         """
         for entry in data:
+            entry['value'] = entry['value']  if type(entry['value']) is str else json_tricks.dumps(entry['value'])
             entry['value'] = json_tricks.loads(entry['value'])
         self.tuner.import_data(data)
 

test/config/integration_tests.yml

@@ -135,6 +135,13 @@ testCases:
   validator:
     class: ExportValidator 
 
+- name: experiment-import
+  configFile: test/config/nnictl_experiment/sklearn-classification.yml
+  validator:
+    class: ImportValidator
+    kwargs:
+      import_data_file_path: config/nnictl_experiment/test_import.json
+
 - name: nnicli
   configFile: test/config/examples/sklearn-regression.yml
   config:

test/config/nnictl_experiment/sklearn-classification.yml

@@ -0,0 +1,23 @@
+authorName: nni
+experimentName: default_test
+maxExecDuration: 5m
+maxTrialNum: 4
+trialConcurrency: 2
+searchSpacePath: ../../../examples/trials/sklearn/classification/search_space.json
+
+tuner:
+  builtinTunerName: TPE
+assessor:
+  builtinAssessorName: Medianstop
+  classArgs:
+    optimize_mode: maximize
+trial:
+  codeDir: ../../../examples/trials/sklearn/classification
+  command: python3 main.py
+  gpuNum: 0
+
+useAnnotation: false
+multiPhase: false
+multiThread: false
+
+trainingServicePlatform: local

test/config/nnictl_experiment/test_import.json

@@ -0,0 +1,4 @@
+[
+    {"parameter": {"C": 0.15940134774738896, "kernel": "sigmoid", "degree": 3, "gamma": 0.07295826917955316, "coef0": 0.0978204758732429}, "value": 0.6},
+    {"parameter": {"C": 0.5556430724708544, "kernel": "linear", "degree": 3, "gamma": 0.04957496655414671, "coef0": 0.08520868779907687}, "value": 0.7}
+]

test/nni_test/nnitest/utils.py

@@ -24,6 +24,7 @@
 STATUS_URL = API_ROOT_URL + '/check-status'
 TRIAL_JOBS_URL = API_ROOT_URL + '/trial-jobs'
 METRICS_URL = API_ROOT_URL + '/metric-data'
+GET_IMPORTED_DATA_URL = API_ROOT_URL + '/experiment/imported-data'
 
 def read_last_line(file_name):
     '''read last line of a file and return None if file not found'''

test/nni_test/nnitest/validators.py

@@ -7,7 +7,8 @@
 import json
 import requests
 from nnicli import Experiment
-from utils import METRICS_URL
+from nni_cmd.updater import load_search_space
+from utils import METRICS_URL, GET_IMPORTED_DATA_URL
 
 
 class ITValidator:
@@ -33,6 +34,17 @@ def __call__(self, rest_endpoint, experiment_dir, nni_source_dir, **kwargs):
             print('\n\n')
         remove('report.json')
 
+class ImportValidator(ITValidator):
+    def __call__(self, rest_endpoint, experiment_dir, nni_source_dir, **kwargs):
+        exp_id = osp.split(experiment_dir)[-1]
+        import_data_file_path = kwargs.get('import_data_file_path')
+        proc = subprocess.run(['nnictl', 'experiment', 'import', exp_id, '-f', import_data_file_path])
+        assert proc.returncode == 0, \
+            '`nnictl experiment import {0} -f {1}` failed with code {2}'.format(exp_id, import_data_file_path, proc.returncode)
+        imported_data = requests.get(GET_IMPORTED_DATA_URL).json()
+        origin_data = load_search_space(import_data_file_path).replace(' ', '')
+        assert origin_data in imported_data
+
 class MetricsValidator(ITValidator):
     def __call__(self, rest_endpoint, experiment_dir, nni_source_dir, **kwargs):
         self.check_metrics(nni_source_dir, **kwargs)

tools/nni_cmd/updater.py

@@ -7,7 +7,7 @@
 from .url_utils import experiment_url, import_data_url
 from .config_utils import Config
 from .common_utils import get_json_content, print_normal, print_error, print_warning
-from .nnictl_utils import get_experiment_port, get_config_filename
+from .nnictl_utils import get_experiment_port, get_config_filename, detect_process
 from .launcher_utils import parse_time
 from .constants import REST_TIME_OUT, TUNERS_SUPPORTING_IMPORT_DATA, TUNERS_NO_NEED_TO_IMPORT_DATA
 
@@ -115,7 +115,19 @@ def import_data(args):
     validate_file(args.filename)
     validate_dispatcher(args)
     content = load_search_space(args.filename)
-    args.port = get_experiment_port(args)
+
+    nni_config = Config(get_config_filename(args))
+    rest_port = nni_config.get_config('restServerPort')
+    rest_pid = nni_config.get_config('restServerPid')
+    if not detect_process(rest_pid):
+        print_error('Experiment is not running...')
+        return
+    running, _ = check_rest_server_quick(rest_port)
+    if not running:
+        print_error('Restful server is not running')
+        return
+
+    args.port = rest_port
     if args.port is not None:
         if import_data_to_restful_server(args, content):
             pass