cesnimda
37 lines
1.9 KiB
TypeScript
37 lines
1.9 KiB
TypeScript
import { api } from "./api";
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export type AiInteraction = {
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id: number;
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module: string;
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mode: string | null;
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title: string;
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provider: string;
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result: { text?: string };
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createdAtUtc: string;
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};
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export type AiUsage = {
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currentMonth: { calls: number; inputCharacters: number; outputCharacters: number; estimatedTokens: number };
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allTime: { calls: number; inputCharacters: number; outputCharacters: number; estimatedTokens: number };
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};
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export const AI_MODULES: { key: string; label: string; blurb: string }[] = [
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{ key: "job-analysis", label: "Job Analysis", blurb: "Break down the advert: skills, requirements, salary, work model, interview topics." },
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{ key: "career-match", label: "Career Match", blurb: "Your profile vs the advert: strengths, gaps, match %, suggested improvements." },
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{ key: "cover-letter", label: "Cover Letter", blurb: "A tailored cover letter in the tone you choose." },
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{ key: "interview", label: "Interview Prep", blurb: "Likely questions, STAR answers, company research, a checklist." },
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{ key: "application-review", label: "Application Review", blurb: "Grammar, gaps, weak areas, ATS issues, overall strength." },
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];
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export const COVER_LETTER_MODES = ["professional", "friendly", "short", "detailed", "modern", "traditional"];
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export const aiWorkspaceApi = {
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usage: () => api.get<AiUsage>("/ai/usage").then((r) => r.data),
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modules: (jobId: number) => api.get<{ modules: string[]; provider: string }>(`/jobapplications/${jobId}/ai/modules`).then((r) => r.data),
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generate: (jobId: number, body: { module: string; mode?: string; extraContext?: string }) =>
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api.post<AiInteraction>(`/jobapplications/${jobId}/ai/generate`, body).then((r) => r.data),
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history: (jobId: number, module?: string) =>
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api.get<AiInteraction[]>(`/jobapplications/${jobId}/ai/history`, { params: { module } }).then((r) => r.data),
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remove: (jobId: number, id: number) => api.delete(`/jobapplications/${jobId}/ai/history/${id}`),
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};
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