138 lines
4.2 KiB
TypeScript
138 lines
4.2 KiB
TypeScript
import assert from "node:assert/strict";
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import test from "node:test";
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import {
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callScriptSchema,
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emailDraftSchema,
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emailSubjectSchema,
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followUpDraftSchema,
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auditSummarySchema,
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qualityReviewSchema,
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publicAuditTextSchema,
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internalFindingsSchema,
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type CallScript,
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type EmailDraft,
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type EmailSubject,
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type FollowUpDraft,
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type AuditSummary,
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type PublicAuditText,
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type QualityReview,
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type InternalFindings,
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} from "../lib/ai/schemas";
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test("internal findings schema accepts task-focused evidence", () => {
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const parsed = internalFindingsSchema.parse({
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findings: [
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{
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section: "UX",
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finding: "Landingpage is not responsive on mobile viewport.",
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suggestion: "Add responsive breakpoints for cards and typography.",
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},
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],
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summary: "One high-priority UX gap was found.",
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});
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assert.equal(parsed.findings.length, 1);
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assert.equal(parsed.findings[0].section, "UX");
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});
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test("audit summary and public text schemas remain intentionally lightweight", () => {
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const summaryParsed = auditSummarySchema.parse({
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summary: "Kurze Zusammenfassung mit den wichtigsten Verbesserungen.",
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keyFindings: ["Fehlende Kontaktmöglichkeit.", "Langsame Ladezeiten."],
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});
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const publicParsed = publicAuditTextSchema.parse({
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publicText: "Dein Shop ist sauber, aber der erste Eindruck lässt Potenzial erkennen.",
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});
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assert.equal(summaryParsed.keyFindings.length, 2);
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assert.equal(typeof publicParsed.publicText, "string");
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});
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test("outreach schemas parse German customer-facing payloads", () => {
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const emailDraftParsed = emailDraftSchema.parse({
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body: "Hallo, ich habe mir euer Angebot angesehen...",
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});
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const subjectParsed = emailSubjectSchema.parse({
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subject: "Kurznotiz zu eurem Webauftritt",
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});
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const callParsed = callScriptSchema.parse({
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openingLine: "Guten Tag, ich bin ...",
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callScript: [
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"Euer Fokus auf Terminbuchung ist stark.",
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"Wie läuft eure aktuelle Lead-Generierung?",
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],
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closeLine: "Ich schicke im Anschluss kurz die wichtigsten Beobachtungen.",
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});
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const followParsed = followUpDraftSchema.parse({
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message: "Kurzer Follow-up-Hinweis für nächste Woche.",
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followInDays: 4,
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goals: ["Antwort auf Rückmeldung erhalten"],
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});
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const qualityParsed = qualityReviewSchema.parse({
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isValid: true,
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issues: [],
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suggestions: ["Mehr Kundennutzen konkret beschreiben."],
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});
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assert.equal(typeof emailDraftParsed.body, "string");
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assert.equal(typeof subjectParsed.subject, "string");
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assert.equal(Array.isArray(callParsed.callScript), true);
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assert.equal(typeof followParsed.message, "string");
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assert.equal(Array.isArray(qualityParsed.suggestions), true);
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});
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test("schema-inferred types are exported for Convex action wiring", () => {
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const typedFindings: InternalFindings = {
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findings: [
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{
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section: "Homepage",
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finding: "No visible Datenschutzhinweis.",
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suggestion: "Bitte Hinweis ergänzen.",
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},
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],
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summary: "One finding identified.",
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};
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const typedSummary: AuditSummary = {
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summary: "Kernbefund mit 2 Punkten.",
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keyFindings: ["Kontaktseite fehlt."],
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};
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const typedPublicText: PublicAuditText = {
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publicText: "Starker Start, aber optimierungsfähig.",
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};
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const typedEmail: EmailDraft = {
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body: "Text mit Ich-Perspektive und konkretem Vorschlag.",
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};
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const typedSubject: EmailSubject = {
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subject: "Kurzer Betreff",
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};
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const typedCall: CallScript = {
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openingLine: "Hallo, ich habe euer Shop geprüft.",
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callScript: ["Wie gehen die Leads aktuell rein?"],
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closeLine: "Ich melde mich nach der Rückfrage erneut.",
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};
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const typedFollowUp: FollowUpDraft = {
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message: "Kurzes Follow-up ohne harte Floskel.",
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};
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const typedQuality: QualityReview = {
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isValid: true,
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issues: [],
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suggestions: [],
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};
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assert.equal(typedFindings.findings.length, 1);
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assert.equal(typedSummary.keyFindings.length, 1);
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assert.equal(typedPublicText.publicText.length > 0, true);
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assert.equal(typeof typedEmail.body, "string");
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assert.equal(typeof typedSubject.subject, "string");
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assert.equal(typedCall.callScript.length, 1);
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assert.equal(typedFollowUp.message.length > 0, true);
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assert.equal(typedQuality.isValid, true);
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});
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