{
startIndex = index + text.length;
}
}
+
+ for (const { text } of genderBiasHighlights) {
+ const searchText = text.toLowerCase();
+ let startIndex = 0;
+
+ while (startIndex < fullText.length) {
+ const index = fullText.indexOf(searchText, startIndex);
+ if (index === -1) break;
+ editor.formatText(index, text.length, 'genderBiasHighlight', true);
+ startIndex = index + text.length;
+ }
+ }
}
/**
diff --git a/src/main/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.html b/src/main/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.html
index d1f1f298b9..e02b72e1b0 100644
--- a/src/main/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.html
+++ b/src/main/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.html
@@ -75,6 +75,59 @@
+
+
+
+
+
+
+
+
+
+
('custom-sparkle');
complianceIssues = input([]);
currentLang = input('en');
+ genderBiasAnalysis = input(undefined);
// ═══════════════════════════════════════════════════════════════════════════
// CONSTANTS
@@ -55,13 +62,13 @@ export class AiAssistantCardComponent {
// ═══════════════════════════════════════════════════════════════════════════
generate = output();
- filterComplianceCat = output();
+ filterComplianceCat = output();
// ═══════════════════════════════════════════════════════════════════════════
// SIGNALS
// ═══════════════════════════════════════════════════════════════════════════
- readonly activeFilter = signal(undefined);
+ readonly activeFilter = signal(undefined);
readonly displayedScore = signal(undefined);
readonly scoreDialogVisible = signal(false);
@@ -134,7 +141,24 @@ export class AiAssistantCardComponent {
() => this.issueCountForLang().filter(i => i.category === ComplianceIssueCategoryEnum.PublicSector).length,
);
+ /** Position of the gender decoder pointer on the sidebar scale. */
+ readonly genderDecoderPointerClass = computed(() => {
+ switch (this.genderBiasAnalysis()?.coding) {
+ case 'non-inclusive-coded':
+ return 'left-[14%]';
+ case 'inclusive-coded':
+ return 'left-[86%]';
+ case 'neutral':
+ case 'empty':
+ default:
+ return 'left-1/2';
+ }
+ });
+
+ readonly genderDecoderReviewCount = computed(() => getUniqueNonInclusiveWords(this.genderBiasAnalysis()?.biasedWords).length);
+
protected readonly ComplianceIssueCategoryEnum = ComplianceIssueCategoryEnum;
+ protected readonly genderBiasFilter = GENDER_BIAS_FILTER_CATEGORY;
// ═══════════════════════════════════════════════════════════════════════════
// EFFECTS
@@ -155,7 +179,7 @@ export class AiAssistantCardComponent {
// ═══════════════════════════════════════════════════════════════════════════
/** Selects the given category as the active filter, or clears it if already selected. */
- selectCategoryFilter(category: string): void {
+ selectCategoryFilter(category: FilterCategory): void {
const next = this.activeFilter() === category ? undefined : category;
this.activeFilter.set(next);
this.filterComplianceCat.emit(next);
diff --git a/src/main/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.ts b/src/main/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.ts
new file mode 100644
index 0000000000..8f02aa566b
--- /dev/null
+++ b/src/main/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.ts
@@ -0,0 +1,16 @@
+import { BiasedWordDTO } from 'app/generated/model/biased-word-dto';
+import { ComplianceIssueCategoryEnum } from 'app/generated/model/compliance-issue';
+
+export const GENDER_BIAS_FILTER_CATEGORY = 'GENDER_BIAS' as const;
+
+export type FilterCategory = ComplianceIssueCategoryEnum | typeof GENDER_BIAS_FILTER_CATEGORY;
+
+/**
+ * Extracts the unique, non-empty words marked as non-inclusive.
+ * @param biasedWords Gender-bias findings returned by the analysis.
+ * @returns The unique non-inclusive words in their original order.
+ */
+export function getUniqueNonInclusiveWords(biasedWords: BiasedWordDTO[] | undefined): string[] {
+ const words = biasedWords?.filter(word => word.type === 'non-inclusive').map(word => word.word?.trim()) ?? [];
+ return words.filter((word): word is string => Boolean(word)).filter((word, index, values) => values.indexOf(word) === index);
+}
diff --git a/src/main/webapp/i18n/de/job.json b/src/main/webapp/i18n/de/job.json
index 22f979e409..3671299408 100644
--- a/src/main/webapp/i18n/de/job.json
+++ b/src/main/webapp/i18n/de/job.json
@@ -188,7 +188,21 @@
"dsgvo": "Datenschutz anpassen",
"publicSector": "Wissenschaftsrecht prüfen",
"filterByCategory": "Nach Kategorie filtern",
- "complianceTooltipText": "Farben dienen nur der Kategorisierung, nicht der Priorisierung. Es gibt keine Unterschiede in der Wichtigkeit."
+ "complianceTooltipText": "Farben dienen nur der Kategorisierung, nicht der Priorisierung. Es gibt keine Unterschiede in der Wichtigkeit.",
+ "genderDecoder": {
+ "header": "Gender Decoder",
+ "tooltipText": "Prüft, ob die Stellenbeschreibung inklusiv, neutral oder exklusiv wirkt. Verbesserungsvorschläge für Wörter erscheinen hier.",
+ "relevanceText": "Inklusive Sprache hilft, mehr Bewerbende anzusprechen.",
+ "pill": {
+ "fix": "Gender-Bias korrigieren"
+ },
+ "balanceLabel": "Inklusive Balance",
+ "scale": {
+ "exclusive": "Exklusiv",
+ "neutral": "Neutral",
+ "inclusive": "Inklusiv"
+ }
+ }
},
"positionDetailsSection": {
"selectedDeadline": "Gewählte Bewerbungsfrist",
diff --git a/src/main/webapp/i18n/en/job.json b/src/main/webapp/i18n/en/job.json
index 8830e3e23c..8818499ab7 100644
--- a/src/main/webapp/i18n/en/job.json
+++ b/src/main/webapp/i18n/en/job.json
@@ -188,7 +188,21 @@
"dsgvo": "Fix Data privacy",
"publicSector": "Check Academic Law",
"filterByCategory": "Filter by category",
- "complianceTooltipText": "Colors indicate category, not severity. All items are equally important."
+ "complianceTooltipText": "Colors indicate category, not severity. All items are equally important.",
+ "genderDecoder": {
+ "header": "Gender Decoder",
+ "tooltipText": "Checks whether the job description reads inclusive, neutral, or exclusive. Suggested wording improvements will appear here.",
+ "relevanceText": "Inclusive wording helps the posting appeal to a broader applicant pool.",
+ "pill": {
+ "fix": "Fix gender-bias wording"
+ },
+ "balanceLabel": "Inclusive balance",
+ "scale": {
+ "exclusive": "Exclusive",
+ "neutral": "Neutral",
+ "inclusive": "Inclusive"
+ }
+ }
},
"positionDetailsSection": {
"selectedDeadline": "Selected Deadline",
diff --git a/src/test/webapp/app/shared/components/atoms/editor/editor.component.spec.ts b/src/test/webapp/app/shared/components/atoms/editor/editor.component.spec.ts
index 7e2e5d1993..d3821c30a1 100644
--- a/src/test/webapp/app/shared/components/atoms/editor/editor.component.spec.ts
+++ b/src/test/webapp/app/shared/components/atoms/editor/editor.component.spec.ts
@@ -292,6 +292,25 @@ describe('EditorComponent', () => {
});
});
+ describe('gender decoder editor highlights', () => {
+ it('should show received gender highlights and hide them when filtered out', () => {
+ const fixture = createFixture();
+ const comp = fixture.componentInstance;
+
+ fixture.componentRef.setInput('showGenderDecoderButton', true);
+ analysisSubject.next({
+ biasedWords: [{ word: 'dominant', type: 'non-inclusive' }],
+ });
+ fixture.detectChanges();
+
+ expect(comp.genderBiasHighlights()).toHaveLength(1);
+
+ fixture.componentRef.setInput('showGenderBiasHighlights', false);
+ fixture.detectChanges();
+ expect(comp.genderBiasHighlights()).toHaveLength(0);
+ });
+ });
+
describe('mapToLanguageCode', () => {
it.each([
['deu', 'de'],
diff --git a/src/test/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.spec.ts b/src/test/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.spec.ts
index c6d0112d3d..c04fab71fd 100644
--- a/src/test/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.spec.ts
+++ b/src/test/webapp/app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component.spec.ts
@@ -1,5 +1,6 @@
import { ComponentFixture, TestBed } from '@angular/core/testing';
-import { beforeEach, describe, expect, it, vi } from 'vitest';
+import { By } from '@angular/platform-browser';
+import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
import { provideFontAwesomeTesting } from 'util/fontawesome.testing';
import { provideTranslateMock } from 'util/translate.mock';
import { AiAssistantCardComponent } from 'app/shared/components/molecules/ai-assistant-card/ai-assistant-card.component';
@@ -20,6 +21,10 @@ describe('AiAssistantCardComponent', () => {
fixture.detectChanges();
});
+ afterEach(() => {
+ vi.restoreAllMocks();
+ });
+
it.each([
['critical', (cmp: AiAssistantCardComponent) => cmp.DANGER_THRESHOLD, 'critical'],
['warning lower bound', (cmp: AiAssistantCardComponent) => cmp.DANGER_THRESHOLD + 1, 'warning'],
@@ -47,4 +52,36 @@ describe('AiAssistantCardComponent', () => {
fixture.detectChanges();
expect(component.displayedScore()).toBe(84);
});
+
+ it.each([
+ [undefined, 'left-1/2'],
+ ['non-inclusive-coded', 'left-[14%]'],
+ ['neutral', 'left-1/2'],
+ ['empty', 'left-1/2'],
+ ['inclusive-coded', 'left-[86%]'],
+ ])('should map %s gender decoder coding to the sidebar scale', (coding, pointerClass) => {
+ fixture.componentRef.setInput('genderBiasAnalysis', coding === undefined ? undefined : { coding });
+ fixture.detectChanges();
+
+ const pointer = fixture.debugElement.query(By.css('[data-testid="gender-decoder-pointer"]'));
+ expect(pointer).not.toBeNull();
+ expect(pointer?.nativeElement.classList).toContain(pointerClass);
+ });
+
+ it('should wire the gender decoder pill to the fix label and review count', () => {
+ fixture.componentRef.setInput('genderBiasAnalysis', {
+ biasedWords: [
+ { type: 'non-inclusive', word: 'driven' },
+ { type: 'non-inclusive', word: 'dominant' },
+ { type: 'inclusive', word: 'collaborative' },
+ ],
+ });
+ fixture.detectChanges();
+
+ const genderPill = fixture.debugElement.query(By.css('[data-testid="gender-decoder-pill"]'));
+
+ expect(genderPill).not.toBeNull();
+ expect(genderPill?.componentInstance.labelKey()).toBe('jobCreationForm.aiSidebar.genderDecoder.pill.fix');
+ expect(genderPill?.componentInstance.count()).toBe(2);
+ });
});
diff --git a/src/test/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.spec.ts b/src/test/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.spec.ts
new file mode 100644
index 0000000000..b3c3de92ce
--- /dev/null
+++ b/src/test/webapp/app/shared/gender-bias-analysis/gender-bias-analysis.utils.spec.ts
@@ -0,0 +1,22 @@
+import { describe, expect, it } from 'vitest';
+import { getUniqueNonInclusiveWords } from 'app/shared/gender-bias-analysis/gender-bias-analysis.utils';
+
+describe('getUniqueNonInclusiveWords', () => {
+ it('should return trimmed unique non-inclusive words', () => {
+ const result = getUniqueNonInclusiveWords([
+ { word: ' dominant ', type: 'non-inclusive' },
+ { word: 'collaborative', type: 'inclusive' },
+ { word: 'dominant', type: 'non-inclusive' },
+ { word: ' ', type: 'non-inclusive' },
+ ]);
+
+ expect(result).toEqual(['dominant']);
+ });
+
+ it.each([
+ ['undefined', undefined],
+ ['empty array', []],
+ ])('should return an empty array for %s input', (_label, words) => {
+ expect(getUniqueNonInclusiveWords(words)).toEqual([]);
+ });
+});