diff options
Diffstat (limited to 'frontend/src/app/_elements')
| -rw-r--r-- | frontend/src/app/_elements/column-table/column-table.component.html | 3 | ||||
| -rw-r--r-- | frontend/src/app/_elements/column-table/column-table.component.ts | 16 |
2 files changed, 16 insertions, 3 deletions
diff --git a/frontend/src/app/_elements/column-table/column-table.component.html b/frontend/src/app/_elements/column-table/column-table.component.html index 59c1899b..d07d50b2 100644 --- a/frontend/src/app/_elements/column-table/column-table.component.html +++ b/frontend/src/app/_elements/column-table/column-table.component.html @@ -143,6 +143,9 @@ <td *ngFor="let colInfo of dataset.columnInfo; let i = index" class="pad-fix" [ngClass]="{'text-disabled' : !columnsChecked[i]}"> <mat-form-field> <mat-select matNativeControl [(value)]="experiment.encodings[i].encoding" [disabled]="!columnsChecked[i] || experiment.columnTypes[i] == ColumnType.numerical || colInfo.columnName == experiment.outputColumn" (selectionChange)="columnTableChangeDetected()"> + <mat-option [value]="Encoding.Label" *ngIf="experiment.columnTypes[i] == ColumnType.numerical || colInfo.columnName == experiment.outputColumn" [selected]="experiment.columnTypes[i] == ColumnType.numerical || colInfo.columnName == experiment.outputColumn"> + Nema enkodiranja + </mat-option> <mat-option *ngFor="let option of Object.keys(Encoding); let optionName of Object.values(Encoding)" [value]="option"> {{ optionName }} </mat-option> diff --git a/frontend/src/app/_elements/column-table/column-table.component.ts b/frontend/src/app/_elements/column-table/column-table.component.ts index b3fcf9a3..b9e39092 100644 --- a/frontend/src/app/_elements/column-table/column-table.component.ts +++ b/frontend/src/app/_elements/column-table/column-table.component.ts @@ -176,20 +176,30 @@ export class ColumnTableComponent implements AfterViewInit { resetColumnEncodings(encodingType: Encoding) { if (this.experiment != undefined && this.dataset != undefined) { this.experiment.encodings = []; - for (let i = 0; i < this.dataset?.columnInfo.length; i++) { + for (let i = 0; i < this.dataset.columnInfo.length; i++) { this.experiment.encodings.push(new ColumnEncoding(this.dataset?.columnInfo[i].columnName, encodingType)); //console.log(this.experiment.encodings); } this.columnTableChangeDetected(); } } + resetColumnEncodingsGlobalSetting(encodingType: Encoding) { + if (this.experiment != undefined && this.dataset != undefined) { + for (let i = 0; i < this.dataset.columnInfo.length; i++) { + if (this.experiment.columnTypes[i] == ColumnType.categorical && this.dataset.columnInfo[i].columnName != this.experiment.outputColumn) //promeni + this.experiment.encodings[i].encoding = encodingType; + } + this.columnTableChangeDetected(); + } + } openEncodingDialog() { const dialogRef = this.dialog.open(EncodingDialogComponent, { - width: '400px' + width: '400px', + data: { experiment: this.experiment, dataset: this.dataset } }); dialogRef.afterClosed().subscribe(selectedEncoding => { if (selectedEncoding != undefined) - this.resetColumnEncodings(selectedEncoding); + this.resetColumnEncodingsGlobalSetting(selectedEncoding); }); } |