feat(candidates): scale UI, bulk upload & AI diffs
This commit is contained in:
Gabriel Ramos
parent
aa028ec263
commit
1a439e3bd0
7 changed files with 1288 additions and 195 deletions
12
README.md
12
README.md
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@ -12,3 +12,15 @@ A modern ATS platform designed to parse PDF CVs using multimodal AI, rank candid
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- **Recruiter - Stage Automation:** As a recruiter, I want candidates to move through recruitment stages automatically.
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- **Candidate - Automated Emails:** As a candidate, I want to receive automated email confirmations for every stage change.
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- **Talent Team - Vacancy Metrics:** As a talent team, we want metrics on the progress per vacancy.
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## Setup & Prerequisites
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### 1. Google AI Studio Account (Mandatory)
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Vector embeddings matching and search operations require a direct call to the Google Gemini Embeddings API (`models/gemini-embedding-001`).
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* **Prerequisite**: You must obtain a free-tier or paid-tier Gemini API key from [Google AI Studio](https://aistudio.google.com/).
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* **Usage**: The embedding model is free for up to 1,500 requests per day (15 requests per minute), which covers standard development and testing requirements.
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* **Configuration**: Add your key to the `.env` file at the root of the project:
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```env
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GEMINI_API_KEY=your_google_ai_studio_api_key_here
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```
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@ -35,45 +35,151 @@ export async function POST(request: NextRequest) {
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const embedding = await generateEmbedding(cleanText);
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const isTest = formData.get("isTest") === "true";
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const duplicateAction = formData.get("duplicateAction") || "check";
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let candidateId = "00000000-0000-0000-0000-000000000000";
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let candidateName = profile.candidateName;
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let isDuplicate = false;
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let existingCandidateData = null;
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if (!isTest) {
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// Initialize Supabase admin client
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const supabase = createServerSupabaseClient();
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// Insert candidate with extracted details (including skills, summary, and cv_text)
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const { data: candidate, error: candidateError } = await supabase
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.from("candidates")
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.insert({
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name: profile.candidateName,
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contact_info: {
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email: profile.email,
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phone: profile.phone,
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skills: profile.skills || [],
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summary: profile.summary || "",
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cv_text: cleanText,
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},
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embedding,
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})
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.select("*")
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.single();
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if (candidateError || !candidate) {
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return NextResponse.json(
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{ error: candidateError?.message || "Failed to insert candidate" },
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{ status: 500 }
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);
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interface DbCandidate {
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id: string;
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name: string;
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contact_info: {
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email: string;
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phone: string;
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skills?: string[];
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summary?: string;
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};
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}
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candidateId = candidate.id;
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candidateName = candidate.name;
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// Check for duplicate candidate (by email or exact name match)
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let existingCandidate: DbCandidate | null = null;
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if (profile.email) {
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const { data } = await supabase
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.from("candidates")
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.select("*")
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.eq("contact_info->>email", profile.email)
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.maybeSingle();
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existingCandidate = data as DbCandidate | null;
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}
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// Decoupled: We no longer create an initial interview record on upload.
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// Interviews are only queued when recruiter manually takes action.
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if (!existingCandidate && profile.candidateName) {
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const { data } = await supabase
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.from("candidates")
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.select("*")
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.ilike("name", profile.candidateName)
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.maybeSingle();
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existingCandidate = data as DbCandidate | null;
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}
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if (existingCandidate) {
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if (duplicateAction === "check") {
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isDuplicate = true;
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existingCandidateData = {
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id: existingCandidate.id,
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name: existingCandidate.name,
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contact_info: existingCandidate.contact_info,
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};
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} else if (duplicateAction === "overwrite") {
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const { data: updated, error: updateError } = await supabase
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.from("candidates")
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.update({
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name: profile.candidateName,
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contact_info: {
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email: profile.email,
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phone: profile.phone,
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skills: profile.skills || [],
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summary: profile.summary || "",
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cv_text: cleanText,
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},
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embedding,
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})
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.eq("id", existingCandidate.id)
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.select("*")
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.single();
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if (updateError || !updated) {
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return NextResponse.json(
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{ error: updateError?.message || "Failed to overwrite candidate" },
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{ status: 500 }
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);
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}
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candidateId = updated.id;
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candidateName = updated.name;
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} else {
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// ignore: insert as new candidate
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const { data: candidate, error: candidateError } = await supabase
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.from("candidates")
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.insert({
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name: profile.candidateName,
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contact_info: {
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email: profile.email,
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phone: profile.phone,
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skills: profile.skills || [],
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summary: profile.summary || "",
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cv_text: cleanText,
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},
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embedding,
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})
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.select("*")
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.single();
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if (candidateError || !candidate) {
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return NextResponse.json(
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{ error: candidateError?.message || "Failed to insert candidate" },
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{ status: 500 }
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);
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}
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candidateId = candidate.id;
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candidateName = candidate.name;
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}
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} else {
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// No duplicate found, insert new candidate
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const { data: candidate, error: candidateError } = await supabase
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.from("candidates")
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.insert({
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name: profile.candidateName,
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contact_info: {
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email: profile.email,
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phone: profile.phone,
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skills: profile.skills || [],
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summary: profile.summary || "",
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cv_text: cleanText,
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},
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embedding,
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})
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.select("*")
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.single();
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if (candidateError || !candidate) {
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return NextResponse.json(
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{ error: candidateError?.message || "Failed to insert candidate" },
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{ status: 500 }
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);
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}
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candidateId = candidate.id;
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candidateName = candidate.name;
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}
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}
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if (isDuplicate) {
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return NextResponse.json({
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success: true,
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isDuplicate: true,
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existingCandidate: existingCandidateData,
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newProfile: profile,
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});
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}
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return NextResponse.json({
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success: true,
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candidateId,
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File diff suppressed because it is too large
Load diff
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@ -75,6 +75,33 @@ interface UploadFileStatus {
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errorMessage?: string;
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}
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interface DuplicateState {
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fileName: string;
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existingCandidate: {
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id: string;
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name: string;
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contact_info: {
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email: string;
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phone: string;
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skills?: string[];
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summary?: string;
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};
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};
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newProfile: {
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candidateName?: string;
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name?: string;
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email?: string;
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phone?: string;
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skills?: string[];
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summary?: string;
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};
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comparison: {
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en: string;
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es: string;
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} | null;
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onResolve: (action: "overwrite" | "ignore" | "cancel") => void;
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}
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export default function JobsPage() {
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const [jobs, setJobs] = useState<Job[]>([]);
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const [selectedJob, setSelectedJob] = useState<Job | null>(null);
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@ -86,6 +113,7 @@ export default function JobsPage() {
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const [uploadError, setUploadError] = useState<string | null>(null);
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const [uploadSuccess, setUploadSuccess] = useState<string | null>(null);
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const [uploadStatuses, setUploadStatuses] = useState<UploadFileStatus[]>([]);
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const [duplicateData, setDuplicateData] = useState<DuplicateState | null>(null);
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// Evaluation states
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const [evaluatingIds, setEvaluatingIds] = useState<Record<string, boolean>>({});
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@ -222,54 +250,114 @@ export default function JobsPage() {
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setUploadError(null);
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setUploadSuccess(null);
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const uploadPromises = fileList.map(async (file, index) => {
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for (let i = 0; i < fileList.length; i++) {
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const file = fileList[i];
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if (file.type !== "application/pdf") {
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === index
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idx === i
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? { ...status, status: "error" as const, errorMessage: "Only PDF files are allowed" }
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: status
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)
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);
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return;
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continue;
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}
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try {
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const formData = new FormData();
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formData.append("file", file);
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formData.append("jobId", selectedJob.id);
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let currentAction = "check";
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let done = false;
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const res = await fetch("/candidates/api/parse-cv", {
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method: "POST",
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body: formData,
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});
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while (!done) {
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try {
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const formData = new FormData();
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formData.append("file", file);
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formData.append("duplicateAction", currentAction);
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formData.append("jobId", selectedJob.id);
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if (!res.ok) {
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const errData = await res.json();
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throw new Error(errData.error || "Failed to process CV");
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const res = await fetch("/candidates/api/parse-cv", {
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method: "POST",
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body: formData,
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});
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if (!res.ok) {
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const errData = await res.json();
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throw new Error(errData.error || "Failed to process CV");
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}
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const data = await res.json();
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if (data.isDuplicate) {
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// Trigger AI Comparison summary
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let comparisonResult = null;
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try {
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const compRes = await fetch("/api/candidates/compare", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({
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existingProfile: data.existingCandidate,
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newProfile: data.newProfile,
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}),
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});
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if (compRes.ok) {
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const compData = await compRes.json();
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comparisonResult = compData.comparison;
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}
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} catch (compErr) {
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console.error("Comparison request failed:", compErr);
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}
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// Pause and wait for user's decision
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const userAction = await new Promise<"overwrite" | "ignore" | "cancel">((resolve) => {
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setDuplicateData({
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fileName: file.name,
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existingCandidate: data.existingCandidate,
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newProfile: data.newProfile,
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comparison: comparisonResult,
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onResolve: resolve,
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});
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});
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// Close dialog
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setDuplicateData(null);
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if (userAction === "cancel") {
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === i
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? { ...status, status: "error" as const, errorMessage: "Upload cancelled by user" }
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: status
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)
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);
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done = true;
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} else {
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// Resend request with overwrite or ignore parameter
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currentAction = userAction === "overwrite" ? "overwrite" : "ignore";
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}
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} else {
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// Success
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === i
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? { ...status, status: "success" as const }
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: status
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)
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);
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done = true;
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}
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} catch (err: unknown) {
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const msg = err instanceof Error ? err.message : "Error uploading CV";
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === i
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? { ...status, status: "error" as const, errorMessage: msg }
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: status
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)
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);
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done = true;
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}
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await res.json();
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === index
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? { ...status, status: "success" as const }
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: status
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)
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);
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} catch (err: unknown) {
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const msg = err instanceof Error ? err.message : "Error uploading CV";
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setUploadStatuses((prev) =>
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prev.map((status, idx) =>
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idx === index
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? { ...status, status: "error" as const, errorMessage: msg }
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: status
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)
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);
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}
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});
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}
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await Promise.all(uploadPromises);
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setUploading(false);
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// Refresh matches for current job
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@ -901,6 +989,105 @@ export default function JobsPage() {
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</div>
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)}
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</div>
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{/* Duplicate Detection dialog */}
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{duplicateData && (
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<div className="fixed inset-0 z-50 flex items-center justify-center p-4 bg-slate-900/50 backdrop-blur-sm">
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<div className="bg-white rounded-lg shadow-md border border-slate-200 max-w-xl w-full p-6 flex flex-col gap-4 max-h-[90vh] overflow-y-auto">
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<div>
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<h3 className="text-lg font-bold text-slate-900">
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Duplicate Candidate Detected / Candidato Duplicado Detectado
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</h3>
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<p className="text-xs text-slate-500 mt-1">
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The system detected an existing candidate with the same email or name. / El sistema detectó un candidato existente con el mismo correo o nombre. ({duplicateData.fileName})
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</p>
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</div>
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<div className="grid grid-cols-1 md:grid-cols-2 gap-4 text-xs">
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{/* Existing Profile */}
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<div className="border border-slate-200 rounded-md p-3 bg-slate-50">
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<h4 className="text-xs font-semibold text-slate-900 uppercase tracking-wider mb-2">
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Existing Profile / Perfil Existente
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</h4>
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<div className="text-sm font-bold text-slate-900">
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{duplicateData.existingCandidate.name}
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</div>
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<div className="text-xs text-slate-500 mt-1">
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Email: <span className="text-slate-600 font-medium">{duplicateData.existingCandidate.contact_info.email}</span>
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</div>
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<div className="text-xs text-slate-500">
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Phone: <span className="text-slate-600 font-medium">{duplicateData.existingCandidate.contact_info.phone || "N/A"}</span>
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</div>
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{duplicateData.existingCandidate.contact_info.summary && (
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<p className="text-slate-600 mt-2 line-clamp-3">
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{duplicateData.existingCandidate.contact_info.summary}
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</p>
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)}
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</div>
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{/* New Profile */}
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<div className="border border-slate-200 rounded-md p-3 bg-slate-50">
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<h4 className="text-xs font-semibold text-slate-900 uppercase tracking-wider mb-2">
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Newly Uploaded Profile / Nuevo Perfil Cargado
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</h4>
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<div className="text-sm font-bold text-slate-900">
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{duplicateData.newProfile.candidateName || duplicateData.newProfile.name || "Unknown"}
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</div>
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<div className="text-xs text-slate-500 mt-1">
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Email: <span className="text-slate-600 font-medium">{duplicateData.newProfile.email || "N/A"}</span>
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</div>
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<div className="text-xs text-slate-500">
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Phone: <span className="text-slate-600 font-medium">{duplicateData.newProfile.phone || "N/A"}</span>
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</div>
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{duplicateData.newProfile.summary && (
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<p className="text-slate-600 mt-2 line-clamp-3">
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{duplicateData.newProfile.summary}
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</p>
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)}
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</div>
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</div>
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{/* AI Comparison Summary */}
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<div className="border border-slate-200 rounded-md p-3 bg-blue-50">
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<h4 className="text-xs font-semibold text-blue-600 uppercase tracking-wider mb-2">
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AI Comparison Summary / Resumen de Comparación de IA
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</h4>
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{duplicateData.comparison ? (
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<div className="text-xs text-slate-600 leading-relaxed flex flex-col gap-2">
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<p><strong>EN:</strong> {duplicateData.comparison.en}</p>
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<p><strong>ES:</strong> {duplicateData.comparison.es}</p>
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</div>
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) : (
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<p className="text-xs text-slate-500 italic">
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Comparing profiles with AI... / Comparando perfiles con IA...
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</p>
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)}
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</div>
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{/* Actions */}
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<div className="flex justify-end gap-2 pt-2 border-t border-slate-200">
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<button
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onClick={() => duplicateData.onResolve("cancel")}
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className="px-3 py-1.5 border border-slate-200 rounded-md text-xs text-slate-600 bg-white hover:bg-slate-50 transition"
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>
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Cancel / Cancelar
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</button>
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<button
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onClick={() => duplicateData.onResolve("ignore")}
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className="px-3 py-1.5 bg-slate-600 hover:bg-slate-700 text-white rounded-md text-xs font-semibold transition"
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>
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Keep Both / Conservar ambos
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</button>
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<button
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onClick={() => duplicateData.onResolve("overwrite")}
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className="px-3 py-1.5 bg-blue-600 hover:bg-blue-700 text-white rounded-md text-xs font-semibold transition"
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>
|
||||
Overwrite / Sobrescribir
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
|
|
|
|||
81
app/api/candidates/compare/route.ts
Normal file
81
app/api/candidates/compare/route.ts
Normal file
|
|
@ -0,0 +1,81 @@
|
|||
import { NextRequest, NextResponse } from "next/server";
|
||||
|
||||
export async function POST(request: NextRequest) {
|
||||
try {
|
||||
const apiKey = process.env.GEMINI_API_KEY;
|
||||
if (!apiKey) {
|
||||
return NextResponse.json({ error: "Missing GEMINI_API_KEY environment variable" }, { status: 500 });
|
||||
}
|
||||
|
||||
const body = await request.json();
|
||||
const { existingProfile, newProfile } = body;
|
||||
|
||||
if (!existingProfile || !newProfile) {
|
||||
return NextResponse.json({ error: "existingProfile and newProfile are required" }, { status: 400 });
|
||||
}
|
||||
|
||||
const prompt = `You are an AI recruitment assistant. Compare the existing candidate profile against the newly uploaded CV profile for a candidate.
|
||||
Analyze differences in skills, experience, and summary.
|
||||
Determine:
|
||||
1. If they appear to be the same person (updated resume) or two different people with the same name.
|
||||
2. What new skills or experiences are present in the new profile compared to the old one.
|
||||
|
||||
Existing Profile:
|
||||
Name: ${existingProfile.name}
|
||||
Skills: ${JSON.stringify(existingProfile.skills || existingProfile.contact_info?.skills || [])}
|
||||
Summary: ${existingProfile.summary || existingProfile.contact_info?.summary || ""}
|
||||
|
||||
New Profile:
|
||||
Name: ${newProfile.candidateName || newProfile.name}
|
||||
Skills: ${JSON.stringify(newProfile.skills || newProfile.contact_info?.skills || [])}
|
||||
Summary: ${newProfile.summary || newProfile.contact_info?.summary || ""}
|
||||
|
||||
You MUST respond with a raw JSON object containing exactly these two keys:
|
||||
- en: A concise 2-3 sentence summary of the differences in English.
|
||||
- es: A concise 2-3 sentence summary of the differences in Spanish.
|
||||
|
||||
Do not include any markdown formatting, code blocks, or text outside the JSON.`;
|
||||
|
||||
const response = await fetch(
|
||||
`https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash:generateContent?key=${apiKey}`,
|
||||
{
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify({
|
||||
contents: [{
|
||||
parts: [{ text: prompt }]
|
||||
}],
|
||||
generationConfig: {
|
||||
responseMimeType: "application/json",
|
||||
}
|
||||
}),
|
||||
}
|
||||
);
|
||||
|
||||
if (!response.ok) {
|
||||
const errText = await response.text();
|
||||
return NextResponse.json({ error: `Gemini API error: ${response.status} - ${errText}` }, { status: 500 });
|
||||
}
|
||||
|
||||
const data = await response.json();
|
||||
const textContent = data.candidates?.[0]?.content?.parts?.[0]?.text;
|
||||
|
||||
if (!textContent) {
|
||||
return NextResponse.json({ error: "Failed to generate comparison from Gemini" }, { status: 500 });
|
||||
}
|
||||
|
||||
const parsedComparison = JSON.parse(textContent.trim());
|
||||
|
||||
return NextResponse.json({
|
||||
success: true,
|
||||
comparison: parsedComparison,
|
||||
});
|
||||
|
||||
} catch (error: unknown) {
|
||||
console.error("Error in compare API:", error);
|
||||
const errorMessage = error instanceof Error ? error.message : "Internal Server Error";
|
||||
return NextResponse.json({ error: errorMessage }, { status: 500 });
|
||||
}
|
||||
}
|
||||
|
|
@ -12,6 +12,10 @@ interface CandidateScore {
|
|||
riskLevel: string;
|
||||
};
|
||||
created_at: string;
|
||||
job_id?: string;
|
||||
jobs?: {
|
||||
title: string;
|
||||
};
|
||||
}
|
||||
|
||||
interface InterviewDetail {
|
||||
|
|
@ -19,6 +23,10 @@ interface InterviewDetail {
|
|||
stage: string;
|
||||
interview_date: string;
|
||||
feedback: string | null;
|
||||
created_at?: string;
|
||||
jobs?: {
|
||||
title: string;
|
||||
};
|
||||
}
|
||||
|
||||
interface RankedCandidate {
|
||||
|
|
@ -35,6 +43,20 @@ interface RankedCandidate {
|
|||
interview?: InterviewDetail | null;
|
||||
}
|
||||
|
||||
interface DBCandidate {
|
||||
id: string;
|
||||
name: string;
|
||||
contact_info: {
|
||||
email: string;
|
||||
phone: string;
|
||||
skills?: string[];
|
||||
summary?: string;
|
||||
};
|
||||
created_at: string;
|
||||
scores?: CandidateScore[];
|
||||
interviews?: InterviewDetail[];
|
||||
}
|
||||
|
||||
export async function GET(request: NextRequest) {
|
||||
try {
|
||||
const supabase = createServerSupabaseClient();
|
||||
|
|
@ -144,20 +166,33 @@ export async function GET(request: NextRequest) {
|
|||
|
||||
return NextResponse.json(candidatesList);
|
||||
} else {
|
||||
// Fetch all candidates sorted by created_at descending, along with scores ordered descending
|
||||
// Fetch all candidates sorted by created_at descending, along with scores and interviews, including job titles
|
||||
const { data: candidates, error } = await supabase
|
||||
.from("candidates")
|
||||
.select("*, scores(*)")
|
||||
.order("created_at", { ascending: false })
|
||||
.order("created_at", { referencedTable: "scores", ascending: false });
|
||||
.select(`
|
||||
*,
|
||||
scores (
|
||||
*,
|
||||
jobs (
|
||||
title
|
||||
)
|
||||
),
|
||||
interviews (
|
||||
*,
|
||||
jobs (
|
||||
title
|
||||
)
|
||||
)
|
||||
`)
|
||||
.order("created_at", { ascending: false });
|
||||
|
||||
if (error) {
|
||||
return NextResponse.json({ error: error.message }, { status: 500 });
|
||||
}
|
||||
|
||||
// Safeguard: Sort and normalize scores inside each candidate in Javascript as well
|
||||
const typedCandidates = candidates || [];
|
||||
typedCandidates.forEach(cand => {
|
||||
const typedCandidates = (candidates as unknown as DBCandidate[]) || [];
|
||||
typedCandidates.forEach((cand: DBCandidate) => {
|
||||
if (cand.scores && Array.isArray(cand.scores)) {
|
||||
cand.scores.forEach((s: CandidateScore) => {
|
||||
if (s.ai_score <= 1.0) {
|
||||
|
|
@ -179,6 +214,13 @@ export async function GET(request: NextRequest) {
|
|||
});
|
||||
cand.scores.sort((a: CandidateScore, b: CandidateScore) => new Date(b.created_at).getTime() - new Date(a.created_at).getTime());
|
||||
}
|
||||
if (cand.interviews && Array.isArray(cand.interviews)) {
|
||||
cand.interviews.sort((a: InterviewDetail, b: InterviewDetail) => {
|
||||
const dateA = a.created_at ? new Date(a.created_at).getTime() : 0;
|
||||
const dateB = b.created_at ? new Date(b.created_at).getTime() : 0;
|
||||
return dateB - dateA;
|
||||
});
|
||||
}
|
||||
});
|
||||
|
||||
return NextResponse.json(typedCandidates);
|
||||
|
|
@ -188,3 +230,29 @@ export async function GET(request: NextRequest) {
|
|||
return NextResponse.json({ error: errorMessage }, { status: 500 });
|
||||
}
|
||||
}
|
||||
|
||||
export async function DELETE(request: NextRequest) {
|
||||
try {
|
||||
const supabase = createServerSupabaseClient();
|
||||
const id = request.nextUrl.searchParams.get("id");
|
||||
|
||||
if (!id) {
|
||||
return NextResponse.json({ error: "Candidate ID is required" }, { status: 400 });
|
||||
}
|
||||
|
||||
const { error } = await supabase
|
||||
.from("candidates")
|
||||
.delete()
|
||||
.eq("id", id);
|
||||
|
||||
if (error) {
|
||||
return NextResponse.json({ error: error.message }, { status: 500 });
|
||||
}
|
||||
|
||||
return NextResponse.json({ success: true, message: "Candidate deleted successfully" });
|
||||
} catch (error: unknown) {
|
||||
const errorMessage = error instanceof Error ? error.message : "Internal Server Error";
|
||||
return NextResponse.json({ error: errorMessage }, { status: 500 });
|
||||
}
|
||||
}
|
||||
|
||||
|
|
|
|||
|
|
@ -13,13 +13,30 @@ const config: Config = {
|
|||
white: "#ffffff",
|
||||
slate: {
|
||||
50: "#f8fafc",
|
||||
200: "#e2e8f0",
|
||||
500: "#64748b",
|
||||
600: "#475569",
|
||||
900: "#0f172a",
|
||||
},
|
||||
blue: {
|
||||
50: "#eff6ff",
|
||||
200: "#bfdbfe",
|
||||
600: "#2563eb",
|
||||
700: "#1d4ed8",
|
||||
},
|
||||
red: {
|
||||
50: "#fef2f2",
|
||||
200: "#fecaca",
|
||||
600: "#dc2626",
|
||||
700: "#b91c1c",
|
||||
},
|
||||
green: {
|
||||
50: "#f0fdf4",
|
||||
100: "#dcfce7",
|
||||
200: "#bbf7d0",
|
||||
700: "#15803d",
|
||||
800: "#166534",
|
||||
},
|
||||
},
|
||||
},
|
||||
plugins: [],
|
||||
|
|
|
|||
Loading…
Reference in a new issue