576 lines
23 KiB
TypeScript
576 lines
23 KiB
TypeScript
"use client";
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import React, { useState, useEffect } from "react";
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interface Job {
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id: string;
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title: string;
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requirements: {
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text: string;
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skills?: string[];
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summary?: string;
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};
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created_at: string;
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}
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interface Score {
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id: string;
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candidate_id: string;
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ai_score: number;
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evaluation: {
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summary: string;
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classification: string;
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suggestions: string;
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riskLevel: string;
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};
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}
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interface Candidate {
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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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similarity?: number;
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scores?: Score[];
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created_at: string;
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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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const [matches, setMatches] = useState<Candidate[]>([]);
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const [loadingJobs, setLoadingJobs] = useState(true);
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const [loadingMatches, setLoadingMatches] = useState(false);
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const [uploading, setUploading] = useState(false);
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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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// Evaluation states
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const [evaluatingIds, setEvaluatingIds] = useState<Record<string, boolean>>({});
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// Form states
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const [newTitle, setNewTitle] = useState("");
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const [newRequirements, setNewRequirements] = useState("");
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const [isSubmitting, setIsSubmitting] = useState(false);
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const [formError, setFormError] = useState<string | null>(null);
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// Fetch all jobs on mount
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useEffect(() => {
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let active = true;
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fetch("/api/jobs")
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.then((res) => {
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if (!res.ok) throw new Error("Failed to fetch jobs");
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return res.json();
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})
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.then((data) => {
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if (active) {
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setJobs(data);
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setLoadingJobs(false);
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if (data.length > 0) {
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setSelectedJob(data[0]);
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}
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}
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})
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.catch((err) => {
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console.error(err);
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if (active) {
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setLoadingJobs(false);
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}
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});
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return () => {
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active = false;
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};
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}, []);
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// Fetch candidates/matches when selected job changes
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useEffect(() => {
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let active = true;
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if (!selectedJob) {
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Promise.resolve().then(() => {
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if (active) setMatches([]);
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});
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return;
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}
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Promise.resolve().then(() => {
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if (active) setLoadingMatches(true);
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});
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fetch(`/api/candidates?jobId=${selectedJob.id}`)
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.then((res) => {
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if (!res.ok) throw new Error("Failed to fetch candidate matches");
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return res.json();
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})
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.then((data) => {
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if (active) {
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setMatches(data);
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setLoadingMatches(false);
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}
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})
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.catch((err) => {
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console.error(err);
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if (active) {
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setLoadingMatches(false);
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}
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});
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return () => {
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active = false;
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};
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}, [selectedJob]);
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// Create vacancy
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const handleCreateJob = async (e: React.FormEvent) => {
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e.preventDefault();
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if (!newTitle.trim() || !newRequirements.trim()) {
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setFormError("All fields are required");
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return;
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}
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try {
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setIsSubmitting(true);
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setFormError(null);
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const res = await fetch("/api/jobs", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ title: newTitle, requirements: newRequirements }),
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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 create vacancy");
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}
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const newJob = await res.json();
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setJobs((prev) => [newJob, ...prev]);
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setSelectedJob(newJob);
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setNewTitle("");
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setNewRequirements("");
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} catch (err: unknown) {
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setFormError(err instanceof Error ? err.message : "Error creating job");
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} finally {
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setIsSubmitting(false);
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}
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};
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// Upload PDF CV
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const handleFileUpload = async (e: React.ChangeEvent<HTMLInputElement>) => {
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const file = e.target.files?.[0];
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if (!file || !selectedJob) return;
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if (file.type !== "application/pdf") {
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setUploadError("Please upload a PDF file");
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return;
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}
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try {
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setUploading(true);
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setUploadError(null);
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setUploadSuccess(null);
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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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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 resData = await res.json();
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setUploadSuccess(`CV for ${resData.candidateName || file.name} successfully parsed and linked!`);
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// Refresh matches for current job
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const matchesRes = await fetch(`/api/candidates?jobId=${selectedJob.id}`);
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if (matchesRes.ok) {
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const matchesData = await matchesRes.json();
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setMatches(matchesData);
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}
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} catch (err: unknown) {
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setUploadError(err instanceof Error ? err.message : "Error uploading CV");
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} finally {
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setUploading(false);
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// Clear file input
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e.target.value = "";
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}
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};
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// Run deep AI evaluation via backend endpoint
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const handleEvaluate = async (candidateId: string) => {
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if (!selectedJob) return;
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try {
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setEvaluatingIds((prev) => ({ ...prev, [candidateId]: true }));
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const res = await fetch("/candidates/api/evaluate", {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify({ candidateId, jobId: selectedJob.id }),
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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 trigger evaluation");
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}
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// Refresh matches for current job
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const matchesRes = await fetch(`/api/candidates?jobId=${selectedJob.id}`);
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if (matchesRes.ok) {
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const matchesData = await matchesRes.json();
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setMatches(matchesData);
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}
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} catch (err: unknown) {
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alert(err instanceof Error ? err.message : "Error evaluating candidate");
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} finally {
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setEvaluatingIds((prev) => ({ ...prev, [candidateId]: false }));
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}
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};
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return (
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<div className="grid grid-cols-1 lg:grid-cols-3 gap-6">
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{/* Left Column: Create Form & Vacancies List */}
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<div className="lg:col-span-1 flex flex-col gap-6">
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{/* Create vacancy form */}
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<div className="bg-white p-6 rounded-lg shadow-sm border border-slate-200">
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<h2 className="text-lg font-bold text-slate-900 mb-4">Create Vacancy</h2>
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<form onSubmit={handleCreateJob} className="flex flex-col gap-4">
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<div>
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<label className="block text-xs font-semibold text-slate-500 uppercase tracking-wider mb-1">
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Job Title
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</label>
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<input
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type="text"
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value={newTitle}
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onChange={(e) => setNewTitle(e.target.value)}
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placeholder="e.g., Senior React Developer"
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className="w-full px-3 py-2 border border-slate-200 rounded-md text-slate-900 bg-white placeholder:text-slate-500 text-sm focus:outline-none"
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required
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/>
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</div>
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<div>
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<label className="block text-xs font-semibold text-slate-500 uppercase tracking-wider mb-1">
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Requirements text
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</label>
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<textarea
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value={newRequirements}
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onChange={(e) => setNewRequirements(e.target.value)}
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placeholder="Describe key candidate qualifications and tech stack..."
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rows={4}
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className="w-full px-3 py-2 border border-slate-200 rounded-md text-slate-900 bg-white placeholder:text-slate-500 text-sm focus:outline-none"
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required
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/>
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</div>
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{formError && (
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<p className="text-xs text-red-600 font-semibold">{formError}</p>
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)}
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<button
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type="submit"
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disabled={isSubmitting}
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className="w-full py-2 bg-blue-600 hover:bg-blue-700 text-white text-sm font-semibold rounded-md transition duration-200 disabled:opacity-50"
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>
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{isSubmitting ? "Creating..." : "Create Vacancy"}
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</button>
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</form>
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</div>
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{/* Vacancy list */}
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<div className="bg-white p-6 rounded-lg shadow-sm border border-slate-200 flex-1">
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<h2 className="text-lg font-bold text-slate-900 mb-4">Job Vacancies</h2>
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{loadingJobs ? (
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<p className="text-slate-500 text-sm">Loading jobs...</p>
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) : jobs.length === 0 ? (
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<p className="text-slate-500 text-sm">No vacancies created yet.</p>
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) : (
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<div className="flex flex-col gap-2">
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{jobs.map((job) => (
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<button
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key={job.id}
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onClick={() => {
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setSelectedJob(job);
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setUploadError(null);
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setUploadSuccess(null);
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}}
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className={`w-full text-left p-3 rounded-md border text-sm transition duration-200 ${
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selectedJob?.id === job.id
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? "border-blue-600 bg-slate-50 font-semibold"
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: "border-slate-200 hover:border-slate-300"
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}`}
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>
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<div className="text-slate-900">{job.title}</div>
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<div className="text-xs text-slate-500 mt-1">
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Created: {new Date(job.created_at).toLocaleDateString()}
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</div>
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</button>
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))}
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</div>
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)}
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</div>
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</div>
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{/* Right Column: Selected Job Details & Candidate Match */}
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<div className="lg:col-span-2">
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{selectedJob ? (
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<div className="bg-white p-6 rounded-lg shadow-sm border border-slate-200 flex flex-col gap-6">
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{/* Header */}
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<div>
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<div className="text-xs font-semibold text-slate-500 uppercase tracking-wider">
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Vacancy Details
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</div>
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<h1 className="text-2xl font-bold text-slate-900 mt-1">
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{selectedJob.title}
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</h1>
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<p className="text-xs text-slate-500 mt-1">
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ID: {selectedJob.id}
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</p>
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</div>
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{/* Requirements & Extracted Job Skills */}
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<div className="p-4 bg-slate-50 rounded-md border border-slate-200 flex flex-col gap-3">
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<div>
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<h3 className="text-sm font-semibold text-slate-900 mb-1">
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Description
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</h3>
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<p className="text-slate-600 text-sm whitespace-pre-wrap leading-relaxed">
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{selectedJob.requirements.text}
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</p>
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</div>
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{selectedJob.requirements.skills && selectedJob.requirements.skills.length > 0 && (
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<div>
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<h3 className="text-xs font-semibold text-slate-500 uppercase tracking-wider mb-1.5">
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Extracted Job Keywords / Required Skills
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</h3>
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<div className="flex flex-wrap gap-1.5">
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{selectedJob.requirements.skills.map((skill) => (
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<span
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key={skill}
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className="px-2 py-0.5 bg-white border border-slate-200 text-slate-700 text-xs rounded-md font-medium"
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>
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{skill}
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</span>
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))}
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</div>
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</div>
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)}
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</div>
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{/* PDF Uploader */}
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<div className="border border-dashed border-slate-200 rounded-lg p-6 flex flex-col items-center justify-center text-center">
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<h3 className="text-sm font-semibold text-slate-900 mb-1">
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Upload Candidate CV for this Vacancy (PDF)
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</h3>
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<p className="text-xs text-slate-500 mb-4 max-w-md">
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Uploading a candidate CV parses the text and extracts their skills/profile in a vacuum. It associates them with this job, enabling you to check skills overlap before running the deep AI score model.
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</p>
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<label className="relative cursor-pointer bg-blue-600 hover:bg-blue-700 text-white font-semibold py-2 px-4 rounded-md text-sm transition duration-200">
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{uploading ? "Processing CV..." : "Choose CV File"}
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<input
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type="file"
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accept=".pdf"
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onChange={handleFileUpload}
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disabled={uploading}
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className="hidden"
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/>
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</label>
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{uploadError && (
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<p className="text-xs text-red-600 mt-3 font-semibold">
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{uploadError}
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</p>
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)}
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{uploadSuccess && (
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<p className="text-xs text-green-600 mt-3 font-semibold">
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{uploadSuccess}
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</p>
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)}
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</div>
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{/* Matches List */}
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<div>
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<h3 className="text-base font-bold text-slate-900 mb-3">
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Candidates & Compatibility Index
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</h3>
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{loadingMatches ? (
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<p className="text-slate-500 text-sm">Finding matches...</p>
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) : matches.length === 0 ? (
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<p className="text-slate-500 text-sm">
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No candidates have been uploaded or matched yet.
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</p>
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) : (
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<div className="flex flex-col gap-4">
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{matches.map((match) => {
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const similarityPct = match.similarity
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? Math.round(match.similarity * 100)
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: null;
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const latestScore = match.scores?.[0];
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// Programmatic skills matching logic
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const jobSkills = selectedJob.requirements.skills || [];
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const candidateSkills = match.contact_info.skills || [];
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const skillsMatch = (candSkill: string, jobSkill: string): boolean => {
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const c = candSkill.toLowerCase().trim();
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const j = jobSkill.toLowerCase().trim();
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if (c === j) return true;
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if (c.includes(j) || j.includes(c)) return true;
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const cWords = c.split(/[\s,./()&+-]+/).filter(w => w.length > 2);
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const jWords = j.split(/[\s,./()&+-]+/).filter(w => w.length > 2);
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const stopWords = ['and', 'for', 'with', 'the', 'management', 'administration', 'development', 'developer', 'engineer', 'system', 'systems', 'integration', 'operations', 'knowledge', 'experience', 'expert', 'proficiency', 'proficient'];
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const sharedWords = cWords.filter(w => jWords.includes(w) && !stopWords.includes(w));
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return sharedWords.length > 0;
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};
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const matchedSkills = jobSkills.filter(js =>
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candidateSkills.some(cs => skillsMatch(cs, js))
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);
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const missingSkills = jobSkills.filter(js =>
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!candidateSkills.some(cs => skillsMatch(cs, js))
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);
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const overlapCount = matchedSkills.length;
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const totalRequired = jobSkills.length;
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const matchPct = totalRequired > 0 ? Math.round((overlapCount / totalRequired) * 100) : 0;
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const isPotentialMatch = matchPct >= 75;
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return (
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<div
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key={match.id}
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className="p-5 rounded-lg border border-slate-200 bg-white flex flex-col gap-4 shadow-sm hover:border-slate-300 transition duration-200"
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>
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{/* Upper info panel */}
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<div className="flex flex-col md:flex-row md:items-start justify-between gap-4">
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<div className="flex flex-col gap-1">
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<div className="text-slate-900 font-bold text-base">
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{match.name}
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</div>
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<div className="text-xs text-slate-500">
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Email: <span className="text-slate-700 font-medium mr-3">{match.contact_info.email}</span>
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Phone: <span className="text-slate-700 font-medium">{match.contact_info.phone}</span>
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</div>
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</div>
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<div className="flex flex-wrap items-center gap-2">
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{/* Pre-selection status badge */}
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<span
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className={`px-2.5 py-1 text-xs font-semibold rounded-md border ${
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isPotentialMatch
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? "bg-green-50 text-green-700 border-green-200"
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: "bg-slate-50 text-slate-500 border-slate-200"
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}`}
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>
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{isPotentialMatch
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? `Potential Match (${matchPct}% overlap)`
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: `Skill Mismatch (${matchPct}% overlap)`}
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</span>
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{/* Semantic embedding similarity badge */}
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{similarityPct !== null && (
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<span className="px-2.5 py-1 text-xs font-semibold rounded-md border bg-blue-50 text-blue-700 border-blue-200">
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Semantic: {similarityPct}%
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</span>
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)}
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</div>
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</div>
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{/* Skills overlap details */}
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<div className="bg-slate-50 p-3 rounded-md border border-slate-100 flex flex-col gap-2">
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<div className="text-xs font-semibold text-slate-500 uppercase tracking-wider">
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Skills Check: {overlapCount} of {totalRequired} matching
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</div>
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<div className="flex flex-wrap gap-1.5">
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{/* Display matched skills in green */}
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{matchedSkills.map(skill => (
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<span
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key={skill}
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className="px-2 py-0.5 bg-green-100 text-green-800 border border-green-200 text-xs rounded-md font-medium"
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>
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{skill}
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</span>
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))}
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{/* Display missing skills in light red/gray dashed */}
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{missingSkills.map(skill => (
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<span
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key={skill}
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className="px-2 py-0.5 bg-white border border-slate-200 border-dashed text-slate-400 text-xs rounded-md"
|
|
>
|
|
{skill} (missing)
|
|
</span>
|
|
))}
|
|
|
|
{/* Fallback if no skills are loaded */}
|
|
{jobSkills.length === 0 && (
|
|
<span className="text-xs text-slate-500 italic">
|
|
No required skills extracted for this job yet.
|
|
</span>
|
|
)}
|
|
</div>
|
|
</div>
|
|
|
|
{/* Bottom evaluation / action panel */}
|
|
<div className="flex flex-col sm:flex-row sm:items-center justify-between gap-4 pt-3 border-t border-slate-100">
|
|
<div>
|
|
{latestScore ? (
|
|
<div className="flex flex-col gap-1">
|
|
<div className="text-xs text-slate-500">
|
|
AI ASSESSMENT RESULT
|
|
</div>
|
|
<div className="text-sm text-slate-700 font-medium">
|
|
Decision: <span className="font-bold text-slate-900">{latestScore.evaluation.classification}</span>
|
|
<span className="mx-2 font-normal text-slate-300">|</span>
|
|
Score: <span className="font-bold text-blue-600 text-base">{latestScore.ai_score} / 100</span>
|
|
</div>
|
|
<div className="text-xs text-slate-500 leading-normal max-w-lg mt-1">
|
|
{latestScore.evaluation.summary}
|
|
</div>
|
|
</div>
|
|
) : (
|
|
<div className="text-xs text-slate-500 italic">
|
|
Ready for deep assessment. Only potential matches recommended for LLM budget optimization.
|
|
</div>
|
|
)}
|
|
</div>
|
|
|
|
<div className="self-end sm:self-center">
|
|
<button
|
|
onClick={() => handleEvaluate(match.id)}
|
|
disabled={evaluatingIds[match.id]}
|
|
className="px-4 py-2 bg-blue-600 hover:bg-blue-700 text-white text-xs font-semibold rounded-md transition duration-200 disabled:opacity-50 shadow-sm"
|
|
>
|
|
{evaluatingIds[match.id]
|
|
? "Evaluating (n8n)..."
|
|
: latestScore
|
|
? "Re-run Deep AI"
|
|
: "Run Deep AI Evaluation"}
|
|
</button>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
);
|
|
})}
|
|
</div>
|
|
)}
|
|
</div>
|
|
</div>
|
|
) : (
|
|
<div className="bg-white p-12 rounded-lg shadow-sm border border-slate-200 flex flex-col items-center justify-center text-center">
|
|
<p className="text-slate-600 font-semibold mb-2">
|
|
Select or create a job vacancy to get started
|
|
</p>
|
|
<p className="text-slate-500 text-xs max-w-sm">
|
|
Use the sidebar panel to choose a vacancy or fill in the form to establish a new open position.
|
|
</p>
|
|
</div>
|
|
)}
|
|
</div>
|
|
</div>
|
|
);
|
|
}
|