Added interactive resume chat with agentic backend
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frontend/src/components/ui/ResumePreview.css
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155
frontend/src/components/ui/ResumePreview.css
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/* A4 Portrait simulation for MuiMarkdown */
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.a4-document .MuiTypography-root {
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font-family: 'Roboto', 'Times New Roman', serif;
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}
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.a4-document.with-margins {
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/* Page break lines - repeating dotted lines every A4 height */
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background-image:
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repeating-linear-gradient(
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#ddd,
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#ddd 12mm,
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transparent calc(12mm + 1px),
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transparent calc(285mm - 1px), /* 297mm - 8mm top/bottom margins */
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#ddd calc(285mm),
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#ddd 297mm
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);
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background-size: 100% 297mm;
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background-repeat: repeat-y;
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}
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.a4-document {
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/* display: flex; */
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/* position: relative; */
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/* A4 dimensions: 210mm x 297mm */
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width: 210mm;
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min-height: 297mm;
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/* Alternative pixel-based approach (96 DPI) */
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/* width: 794px; */
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/* height: 1123px; */
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/* Document styling */
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background: white;
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padding: 12mm; /* 1/4" margins all around */
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box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1);
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border: 1px solid #e0e0e0;
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/* Typography for document feel */
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font-family: 'Roboto', 'Times New Roman', serif;
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font-size: 12pt;
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line-height: 1.6;
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color: #333;
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/* Ensure proper page breaks for printing */
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page-break-after: always;
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/* Prevent content overflow */
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box-sizing: border-box;
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/* overflow: hidden; */
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}
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/* Container to center the document */
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.document-container {
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display: flex;
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position: relative;
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justify-content: center;
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min-height: fit-content;
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height: fit-content;
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background-color: #f5f5f5; /* Light gray background for contrast */
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padding: 20px 0;
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}
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/* Responsive adjustments */
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@media screen and (max-width: 900px) {
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.a4-document {
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width: 95vw;
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height: auto;
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min-height: 134vw; /* Maintains A4 aspect ratio (297/210 ≈ 1.414) */
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margin: 10px auto;
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padding: 6vw;
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}
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}
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/* Print styles */
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@media print {
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.document-container {
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background: none;
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padding: 0mm !important;
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margin: 0mm !important;
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}
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.a4-document {
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width: 210mm;
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margin: 0;
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padding: 0;
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box-shadow: none;
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border: none;
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page-break-after: always;
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}
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}
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/* Additional MuiMarkdown specific adjustments */
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.a4-document h1,
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.a4-document h2,
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.a4-document h3,
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.a4-document h4,
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.a4-document h5,
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.a4-document h6 {
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font-size: 1em;
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margin-top: 0.25em;
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margin-bottom: 0.25em;
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}
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/* Put after above so they take precedence */
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.a4-document h1,
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.a4-document h2 {
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font-size: 1.1em;
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}
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.a4-document p {
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margin-bottom: 1em;
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text-align: justify;
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}
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.a4-document ul,
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.a4-document ol {
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margin-bottom: 1em;
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padding-left: 2em;
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}
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.a4-document blockquote {
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margin: 1em 0;
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padding-left: 1em;
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border-left: 3px solid #ccc;
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font-style: italic;
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}
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.a4-document code {
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background-color: #f5f5f5;
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padding: 0.2em 0.4em;
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border-radius: 3px;
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font-family: 'Courier New', monospace;
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}
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.a4-document pre {
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background-color: #f5f5f5;
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padding: 1em;
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border-radius: 5px;
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overflow-x: auto;
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margin: 1em 0;
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}
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.BackstoryResumeHeader {
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gap: 1rem;
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display: flex;
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/* flex-direction: column; */
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}
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.BackstoryResumeHeader p {
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/* border: 3px solid purple; */
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margin: 0 !important;
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}
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532
frontend/src/components/ui/ResumePreview.tsx
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532
frontend/src/components/ui/ResumePreview.tsx
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import React from 'react';
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import { Box, Typography, SxProps, Theme } from '@mui/material';
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import {
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Email as EmailIcon,
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Phone as PhoneIcon,
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LocationOn as LocationIcon,
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} from '@mui/icons-material';
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import { parsePhoneNumberFromString } from 'libphonenumber-js';
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import { StyledMarkdown } from 'components/StyledMarkdown';
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import * as Types from 'types/types';
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import './ResumePreview.css';
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// Resume Style Definitions
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export interface ResumeStyle {
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name: string;
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description: string;
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headerStyle: SxProps<Theme>;
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footerStyle: SxProps<Theme>;
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contentStyle: SxProps<Theme>;
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markdownStyle: SxProps<Theme>;
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color: {
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primary: string;
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secondary: string;
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accent: string;
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text: string;
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background: string;
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};
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}
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const generateResumeStyles = (): Record<string, ResumeStyle> => {
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return {
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classic: {
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name: 'Classic',
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description: 'Traditional, professional serif design',
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headerStyle: {
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display: 'flex',
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flexDirection: 'row',
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fontFamily: '"Times New Roman", Times, serif',
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borderBottom: '2px solid #2c3e50',
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paddingBottom: 2,
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marginBottom: 3,
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} as SxProps<Theme>,
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footerStyle: {
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fontFamily: '"Times New Roman", Times, serif',
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borderTop: '2px solid #2c3e50',
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paddingTop: 2,
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display: 'flex',
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flexDirection: 'column',
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alignItems: 'center',
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justifyContent: 'center',
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textTransform: 'uppercase',
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alignContent: 'center',
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fontSize: '0.8rem',
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pb: 2,
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mb: 2,
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} as SxProps<Theme>,
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contentStyle: {
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fontFamily: '"Times New Roman", Times, serif',
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lineHeight: 1.6,
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color: '#2c3e50',
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} as SxProps<Theme>,
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markdownStyle: {
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fontFamily: '"Times New Roman", Times, serif',
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'& h1, & h2, & h3': {
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fontFamily: '"Times New Roman", Times, serif',
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color: '#2c3e50',
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borderBottom: '1px solid #bdc3c7',
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paddingBottom: 1,
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marginBottom: 2,
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},
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'& p, & li': {
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lineHeight: 1.6,
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marginBottom: 1,
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},
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'& ul': {
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paddingLeft: 3,
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},
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} as SxProps<Theme>,
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color: {
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primary: '#2c3e50',
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secondary: '#34495e',
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accent: '#3498db',
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text: '#2c3e50',
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background: '#ffffff',
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},
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},
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modern: {
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name: 'Modern',
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description: 'Clean, minimalist sans-serif layout',
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headerStyle: {
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display: 'flex',
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flexDirection: 'row',
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fontFamily: '"Helvetica Neue", Helvetica, Arial, sans-serif',
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borderLeft: '4px solid #3498db',
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paddingLeft: 2,
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marginBottom: 3,
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backgroundColor: '#f8f9fa',
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padding: 2,
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borderRadius: 1,
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} as SxProps<Theme>,
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footerStyle: {
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fontFamily: '"Helvetica Neue", Helvetica, Arial, sans-serif',
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borderLeft: '4px solid #3498db',
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backgroundColor: '#f8f9fa',
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paddingTop: 2,
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borderRadius: 1,
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display: 'flex',
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flexDirection: 'column',
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alignItems: 'center',
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justifyContent: 'center',
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textTransform: 'uppercase',
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alignContent: 'center',
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fontSize: '0.8rem',
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pb: 2,
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mb: 2,
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} as SxProps<Theme>,
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contentStyle: {
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fontFamily: '"Helvetica Neue", Helvetica, Arial, sans-serif',
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lineHeight: 1.5,
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color: '#2c3e50',
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} as SxProps<Theme>,
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markdownStyle: {
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fontFamily: '"Helvetica Neue", Helvetica, Arial, sans-serif',
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'& h1, & h2, & h3': {
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fontFamily: '"Helvetica Neue", Helvetica, Arial, sans-serif',
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color: '#3498db',
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fontWeight: 300,
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marginBottom: 1.5,
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},
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'& h1': {
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fontSize: '1.75rem',
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},
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'& h2': {
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fontSize: '1.5rem',
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},
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'& h3': {
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fontSize: '1.25rem',
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},
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'& p, & li': {
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lineHeight: 1.5,
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marginBottom: 0.75,
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},
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'& ul': {
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paddingLeft: 2.5,
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},
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} as SxProps<Theme>,
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color: {
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primary: '#3498db',
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secondary: '#2c3e50',
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accent: '#e74c3c',
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text: '#2c3e50',
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background: '#ffffff',
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},
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},
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creative: {
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name: 'Creative',
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description: 'Colorful, unique design with personality',
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headerStyle: {
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display: 'flex',
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flexDirection: 'row',
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fontFamily: '"Montserrat", "Helvetica Neue", Arial, sans-serif',
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background: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
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color: '#ffffff',
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padding: 2.5,
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borderRadius: 1.5,
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marginBottom: 3,
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} as SxProps<Theme>,
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footerStyle: {
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fontFamily: '"Montserrat", "Helvetica Neue", Arial, sans-serif',
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background: 'linear-gradient(135deg, #667eea 0%, #764ba2 100%)',
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color: '#ffffff',
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paddingTop: 2,
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borderRadius: 1.5,
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display: 'flex',
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flexDirection: 'column',
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alignItems: 'center',
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justifyContent: 'center',
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textTransform: 'uppercase',
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alignContent: 'center',
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fontSize: '0.8rem',
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pb: 2,
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mb: 2,
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} as SxProps<Theme>,
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contentStyle: {
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fontFamily: '"Open Sans", Arial, sans-serif',
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lineHeight: 1.6,
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color: '#444444',
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} as SxProps<Theme>,
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markdownStyle: {
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fontFamily: '"Open Sans", Arial, sans-serif',
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'& h1, & h2, & h3': {
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fontFamily: '"Montserrat", "Helvetica Neue", Arial, sans-serif',
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color: '#667eea',
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fontWeight: 600,
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marginBottom: 2,
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},
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'& h1': {
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fontSize: '1.5rem',
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},
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'& h2': {
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fontSize: '1.25rem',
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},
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'& h3': {
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fontSize: '1.1rem',
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},
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'& p, & li': {
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lineHeight: 1.6,
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marginBottom: 1,
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color: '#444444',
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},
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'& strong': {
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color: '#764ba2',
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fontWeight: 600,
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},
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'& ul': {
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paddingLeft: 3,
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},
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} as SxProps<Theme>,
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color: {
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primary: '#667eea',
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secondary: '#764ba2',
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accent: '#f093fb',
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text: '#444444',
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background: '#ffffff',
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},
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},
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corporate: {
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name: 'Corporate',
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description: 'Formal, structured business format',
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headerStyle: {
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display: 'flex',
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flexDirection: 'row',
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fontFamily: '"Arial", sans-serif',
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border: '2px solid #34495e',
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padding: 2.5,
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marginBottom: 3,
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backgroundColor: '#ecf0f1',
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} as SxProps<Theme>,
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footerStyle: {
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fontFamily: '"Arial", sans-serif',
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border: '2px solid #34495e',
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backgroundColor: '#ecf0f1',
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paddingTop: 2,
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display: 'flex',
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flexDirection: 'column',
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alignItems: 'center',
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justifyContent: 'center',
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textTransform: 'uppercase',
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alignContent: 'center',
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fontSize: '0.8rem',
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pb: 2,
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mb: 2,
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} as SxProps<Theme>,
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contentStyle: {
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fontFamily: '"Arial", sans-serif',
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lineHeight: 1.4,
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color: '#2c3e50',
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} as SxProps<Theme>,
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markdownStyle: {
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fontFamily: '"Arial", sans-serif',
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'& h1, & h2, & h3': {
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fontFamily: '"Arial", sans-serif',
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color: '#34495e',
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fontWeight: 'bold',
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textTransform: 'uppercase',
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fontSize: '0.875rem',
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letterSpacing: '1px',
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marginBottom: 1.5,
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borderBottom: '1px solid #bdc3c7',
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paddingBottom: 0.5,
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},
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'& h1': {
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fontSize: '1rem',
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},
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'& h2': {
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fontSize: '0.875rem',
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},
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'& h3': {
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fontSize: '0.75rem',
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},
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'& p, & li': {
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lineHeight: 1.4,
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marginBottom: 0.75,
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fontSize: '0.75rem',
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},
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'& ul': {
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paddingLeft: 2,
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},
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} as SxProps<Theme>,
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color: {
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primary: '#34495e',
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secondary: '#2c3e50',
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accent: '#95a5a6',
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text: '#2c3e50',
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background: '#ffffff',
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},
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},
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};
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};
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export const resumeStyles: Record<string, ResumeStyle> = generateResumeStyles();
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// Styled Header Component
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interface StyledHeaderProps {
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candidate: Types.Candidate;
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style: ResumeStyle;
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}
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const StyledHeader: React.FC<StyledHeaderProps> = ({ candidate, style }) => {
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const phone = parsePhoneNumberFromString(candidate.phone || '', 'US');
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return (
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<Box className="BackstoryResumeHeader" sx={style.headerStyle}>
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<Box sx={{ display: 'flex', flexDirection: 'column', flexGrow: 1 }}>
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<Box sx={{ display: 'flex' }}>
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<Typography
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variant="h4"
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sx={{
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fontWeight: 'bold',
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mb: 1,
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color: style.name === 'creative' ? '#ffffff' : style.color.primary,
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fontFamily: 'inherit',
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}}
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>
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{candidate.fullName}
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</Typography>
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</Box>
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<Box
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sx={{
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display: 'flex',
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flexDirection: 'row',
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alignItems: 'flex-start',
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gap: 1,
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}}
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>
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{candidate.description && (
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<Box sx={{ display: 'flex' }}>
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<Typography
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variant="h6"
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sx={{
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mb: 2,
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fontWeight: 300,
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color: style.name === 'creative' ? '#ffffff' : style.color.secondary,
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fontFamily: 'inherit',
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fontSize: '0.8rem !important',
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}}
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>
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{candidate.description}
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</Typography>
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</Box>
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)}
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<Box
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sx={{
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||||
display: 'flex',
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||||
flexDirection: 'column',
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flexWrap: 'wrap',
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alignContent: 'center',
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flexGrow: 1,
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minWidth: 'fit-content',
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gap: 1,
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}}
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>
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{candidate.email && (
|
||||
<Box sx={{ display: 'flex', alignItems: 'center', m: 0, p: 0 }}>
|
||||
<EmailIcon
|
||||
fontSize="small"
|
||||
sx={{ mr: 1, color: style.name === 'creative' ? '#ffffff' : style.color.accent }}
|
||||
/>
|
||||
<Typography
|
||||
variant="body2"
|
||||
sx={{
|
||||
color: style.name === 'creative' ? '#ffffff' : style.color.text,
|
||||
fontFamily: 'inherit',
|
||||
}}
|
||||
>
|
||||
{candidate.email}
|
||||
</Typography>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
{phone?.isValid() && (
|
||||
<Box sx={{ display: 'flex', alignItems: 'center' }}>
|
||||
<PhoneIcon
|
||||
fontSize="small"
|
||||
sx={{ mr: 1, color: style.name === 'creative' ? '#ffffff' : style.color.accent }}
|
||||
/>
|
||||
<Typography
|
||||
variant="body2"
|
||||
sx={{
|
||||
color: style.name === 'creative' ? '#ffffff' : style.color.text,
|
||||
fontFamily: 'inherit',
|
||||
}}
|
||||
>
|
||||
{phone.formatInternational()}
|
||||
</Typography>
|
||||
</Box>
|
||||
)}
|
||||
|
||||
{candidate.location && (
|
||||
<Box sx={{ display: 'flex', alignItems: 'center' }}>
|
||||
<LocationIcon
|
||||
fontSize="small"
|
||||
sx={{ mr: 1, color: style.name === 'creative' ? '#ffffff' : style.color.accent }}
|
||||
/>
|
||||
<Typography
|
||||
variant="body2"
|
||||
sx={{
|
||||
color: style.name === 'creative' ? '#ffffff' : style.color.text,
|
||||
fontFamily: 'inherit',
|
||||
}}
|
||||
>
|
||||
{candidate.location.city
|
||||
? `${candidate.location.city}, ${candidate.location.state}`
|
||||
: candidate.location.text}
|
||||
</Typography>
|
||||
</Box>
|
||||
)}
|
||||
</Box>
|
||||
</Box>
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
// Styled Footer Component
|
||||
interface StyledFooterProps {
|
||||
candidate: Types.Candidate;
|
||||
job?: Types.Job;
|
||||
style: ResumeStyle;
|
||||
}
|
||||
|
||||
const StyledFooter: React.FC<StyledFooterProps> = ({ candidate, job, style }) => {
|
||||
return (
|
||||
<>
|
||||
<Box
|
||||
className="BackstoryResumeFooter"
|
||||
sx={{
|
||||
...style.footerStyle,
|
||||
color: style.color.secondary,
|
||||
}}
|
||||
>
|
||||
Dive deeper into my qualifications at Backstory...
|
||||
<Box
|
||||
component="img"
|
||||
src={`/api/1.0/candidates/qr-code/${candidate.id || ''}/${(job && job.id) || ''}`}
|
||||
alt="QR Code"
|
||||
className="qr-code"
|
||||
sx={{ display: 'flex', mt: 1, mb: 1 }}
|
||||
/>
|
||||
{candidate?.username
|
||||
? `${window.location.protocol}://${window.location.host}/u/${candidate?.username}`
|
||||
: 'backstory'}
|
||||
</Box>
|
||||
<Box sx={{ pb: 2 }}> </Box>
|
||||
</>
|
||||
);
|
||||
};
|
||||
|
||||
// Main ResumePreview Component
|
||||
export interface ResumePreviewProps {
|
||||
resume: Types.Resume;
|
||||
selectedStyle?: string;
|
||||
shadeMargins?: boolean;
|
||||
}
|
||||
|
||||
export const ResumePreview: React.FC<ResumePreviewProps> = (props: ResumePreviewProps) => {
|
||||
const { resume, selectedStyle = 'corporate', shadeMargins = true } = props;
|
||||
const currentStyle = resumeStyles[selectedStyle] || resumeStyles.corporate;
|
||||
const job: Types.Job | null = resume.job || null;
|
||||
const candidate: Types.Candidate | null = resume.candidate || null;
|
||||
|
||||
if (!resume || !candidate || !job) {
|
||||
return (
|
||||
<Box sx={{ p: 2 }}>
|
||||
<Typography variant="body1">No resume data available.</Typography>
|
||||
</Box>
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<Box
|
||||
className="document-container"
|
||||
sx={{
|
||||
...currentStyle.contentStyle,
|
||||
position: 'relative',
|
||||
height: 'fit-content',
|
||||
minHeight: 'fit-content',
|
||||
display: 'flex',
|
||||
m: 0,
|
||||
p: 0,
|
||||
}}
|
||||
>
|
||||
<Box
|
||||
className={`a4-document ${shadeMargins ? 'with-margins' : ''}`}
|
||||
sx={{
|
||||
backgroundColor: currentStyle.color.background,
|
||||
padding: 5,
|
||||
minHeight: '100vh',
|
||||
height: 'fit-content',
|
||||
boxShadow: '0 0 10px rgba(0,0,0,0.1)',
|
||||
display: 'flex',
|
||||
flexDirection: 'column',
|
||||
}}
|
||||
>
|
||||
{/* Custom Header */}
|
||||
<StyledHeader candidate={candidate} style={currentStyle} />
|
||||
|
||||
{/* Styled Markdown Content */}
|
||||
<Box sx={currentStyle.markdownStyle}>
|
||||
<StyledMarkdown
|
||||
sx={{
|
||||
position: 'relative',
|
||||
maxHeight: '100%',
|
||||
display: 'flex',
|
||||
flexGrow: 1,
|
||||
flex: 1,
|
||||
...currentStyle.markdownStyle,
|
||||
}}
|
||||
content={resume.resume}
|
||||
/>
|
||||
</Box>
|
||||
|
||||
{/* QR Code Footer */}
|
||||
{job && <StyledFooter candidate={candidate} job={job} style={currentStyle} />}
|
||||
</Box>
|
||||
</Box>
|
||||
);
|
||||
};
|
||||
|
||||
export default ResumePreview;
|
||||
@ -17,7 +17,7 @@ import { ConversationHandle } from 'components/Conversation';
|
||||
import { Message } from 'components/Message';
|
||||
import { DeleteConfirmation } from 'components/DeleteConfirmation';
|
||||
import { CandidateInfo } from 'components/ui/CandidateInfo';
|
||||
import { useAppState, useSelectedCandidate } from 'hooks/GlobalContext';
|
||||
import { useAppState, useSelectedCandidate, useSelectedJob } from 'hooks/GlobalContext';
|
||||
import PropagateLoader from 'react-spinners/PropagateLoader';
|
||||
import { BackstoryTextField, BackstoryTextFieldRef } from 'components/BackstoryTextField';
|
||||
import { BackstoryQuery } from 'components/BackstoryQuery';
|
||||
@ -53,6 +53,11 @@ const defaultMessage: ChatMessage = {
|
||||
metadata: emptyMetadata,
|
||||
};
|
||||
|
||||
const defaultQuestion: CandidateQuestion = {
|
||||
question:
|
||||
'How well does the resume align with the job description? What are the three key strengths and two greatest weaknesses?',
|
||||
};
|
||||
|
||||
interface CandidateChatPageProps {
|
||||
sx?: SxProps; // Optional styles for the component
|
||||
}
|
||||
@ -60,10 +65,11 @@ interface CandidateChatPageProps {
|
||||
const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>(
|
||||
(props: CandidateChatPageProps, ref): JSX.Element => {
|
||||
const { resumeId } = useParams<{ resumeId?: string }>();
|
||||
const { selectedJob, setSelectedJob } = useSelectedJob();
|
||||
const [resume, setResume] = useState<Resume | null>(null);
|
||||
const { sx } = props;
|
||||
const { apiClient } = useAuth();
|
||||
const { selectedCandidate } = useSelectedCandidate();
|
||||
const { selectedCandidate, setSelectedCandidate } = useSelectedCandidate();
|
||||
const [processingMessage, setProcessingMessage] = useState<
|
||||
ChatMessageStatus | ChatMessageError | null
|
||||
>(null);
|
||||
@ -84,6 +90,12 @@ const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>
|
||||
.getResume(resumeId)
|
||||
.then(resume => {
|
||||
setResume(resume);
|
||||
if (resume.candidate && resume.candidate !== selectedCandidate) {
|
||||
setSelectedCandidate(resume.candidate);
|
||||
}
|
||||
if (resume.job && resume.job !== selectedJob) {
|
||||
setSelectedJob(resume.job);
|
||||
}
|
||||
})
|
||||
.catch(error => {
|
||||
console.error('Failed to load resume:', error);
|
||||
@ -121,9 +133,9 @@ const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>
|
||||
type: 'text',
|
||||
timestamp: new Date(),
|
||||
extraContext: {
|
||||
candidateId: resume?.job?.id,
|
||||
jobId: resume?.job?.id || '',
|
||||
resumeId: resume?.id || '',
|
||||
candidateId: resume?.candidate?.id,
|
||||
jobId: resume?.job?.id,
|
||||
resumeId: resume?.id,
|
||||
},
|
||||
};
|
||||
|
||||
@ -152,14 +164,12 @@ const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>
|
||||
onError: (error: string | ChatMessageError): void => {
|
||||
console.log('onError:', error);
|
||||
// Type-guard to determine if this is a ChatMessageBase or a string
|
||||
if (typeof error === 'object' && error !== null && 'content' in error) {
|
||||
setProcessingMessage(error);
|
||||
if (typeof error === 'object' && error !== null && 'error' in error) {
|
||||
setSnack(`Error: ${error.error}`, 'error');
|
||||
} else if (typeof error === 'string') {
|
||||
setSnack(`Error: ${error}`, 'error');
|
||||
} else {
|
||||
setProcessingMessage({
|
||||
...defaultMessage,
|
||||
status: 'error',
|
||||
content: error,
|
||||
});
|
||||
setSnack(`An unknown error occurred: ${JSON.stringify(error)}`, 'error');
|
||||
}
|
||||
setStreaming(false);
|
||||
},
|
||||
@ -251,9 +261,9 @@ const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>
|
||||
content:
|
||||
`Welcome to the Backstory Chat about ${selectedCandidate.fullName}` +
|
||||
(resume && ` and the ${resume.job?.title} position at ${resume.job?.company}`) +
|
||||
`. Ask any questions you have about ${selectedCandidate.firstName}'${
|
||||
`. Enter any questions you have about ${selectedCandidate.firstName}'${
|
||||
selectedCandidate.firstName.slice(-1) !== 's' ? 's' : ''
|
||||
} resume or skills.`,
|
||||
} resume or skills, or select from the available questions.`,
|
||||
metadata: emptyMetadata,
|
||||
};
|
||||
|
||||
@ -376,14 +386,14 @@ const CandidateChatPage = forwardRef<ConversationHandle, CandidateChatPageProps>
|
||||
<div ref={messagesEndRef} />
|
||||
</Scrollable>
|
||||
)}
|
||||
{selectedCandidate.questions?.length !== 0 && (
|
||||
<Box sx={{ display: 'flex', flexDirection: 'row', gap: 1, p: 1, flex: 0 }}>
|
||||
{' '}
|
||||
{selectedCandidate.questions?.map((q, i) => (
|
||||
<BackstoryQuery key={i} question={q} submitQuery={handleSubmitQuestion} />
|
||||
))}
|
||||
</Box>
|
||||
)}
|
||||
<Box sx={{ display: 'flex', flexDirection: 'row', gap: 1, p: 1, flex: 0 }}>
|
||||
{selectedCandidate.questions?.map((q, i) => (
|
||||
<BackstoryQuery key={i} question={q} submitQuery={handleSubmitQuestion} />
|
||||
))}
|
||||
{resume && (
|
||||
<BackstoryQuery question={defaultQuestion} submitQuery={handleSubmitQuestion} />
|
||||
)}
|
||||
</Box>
|
||||
{/* Fixed Message Input */}
|
||||
<Box sx={{ display: 'flex', gap: 1 }}>
|
||||
<DeleteConfirmation
|
||||
|
||||
@ -1,6 +1,6 @@
|
||||
// Generated TypeScript types from Pydantic models
|
||||
// Source: src/backend/models.py
|
||||
// Generated on: 2025-07-16T21:30:37.986984
|
||||
// Generated on: 2025-07-16T23:28:16.752031
|
||||
// DO NOT EDIT MANUALLY - This file is auto-generated
|
||||
|
||||
// ============================
|
||||
@ -299,7 +299,7 @@ export interface ChatMessage {
|
||||
timestamp?: Date;
|
||||
role: "user" | "assistant" | "system" | "information" | "warning" | "error";
|
||||
content: string;
|
||||
extraContext?: Record<string, any>;
|
||||
extraContext?: ExtraChatContext;
|
||||
tunables?: Tunables;
|
||||
metadata: ChatMessageMetaData;
|
||||
}
|
||||
@ -350,7 +350,7 @@ export interface ChatMessageResume {
|
||||
timestamp?: Date;
|
||||
role: "user" | "assistant" | "system" | "information" | "warning" | "error";
|
||||
content: string;
|
||||
extraContext?: Record<string, any>;
|
||||
extraContext?: ExtraChatContext;
|
||||
tunables?: Tunables;
|
||||
metadata: ChatMessageMetaData;
|
||||
resume: Resume;
|
||||
@ -365,7 +365,7 @@ export interface ChatMessageSkillAssessment {
|
||||
timestamp?: Date;
|
||||
role: "user" | "assistant" | "system" | "information" | "warning" | "error";
|
||||
content: string;
|
||||
extraContext?: Record<string, any>;
|
||||
extraContext?: ExtraChatContext;
|
||||
tunables?: Tunables;
|
||||
metadata: ChatMessageMetaData;
|
||||
skillAssessment: SkillAssessment;
|
||||
@ -401,7 +401,7 @@ export interface ChatMessageUser {
|
||||
timestamp?: Date;
|
||||
role: "user" | "assistant" | "system" | "information" | "warning" | "error";
|
||||
content: string;
|
||||
extraContext?: Record<string, any>;
|
||||
extraContext?: ExtraChatContext;
|
||||
tunables?: Tunables;
|
||||
}
|
||||
|
||||
@ -616,6 +616,14 @@ export interface EvidenceDetail {
|
||||
context: string;
|
||||
}
|
||||
|
||||
export interface ExtraChatContext {
|
||||
jobId?: string;
|
||||
candidateId?: string;
|
||||
resumeId?: string;
|
||||
resume?: string;
|
||||
isAnswer?: boolean;
|
||||
}
|
||||
|
||||
export interface GPUInfo {
|
||||
name: string;
|
||||
memory: number;
|
||||
@ -1009,7 +1017,7 @@ export interface ResumeMessage {
|
||||
timestamp?: Date;
|
||||
role: "user" | "assistant" | "system" | "information" | "warning" | "error";
|
||||
content: string;
|
||||
extraContext?: Record<string, any>;
|
||||
extraContext?: ExtraChatContext;
|
||||
tunables?: Tunables;
|
||||
resume: Resume;
|
||||
}
|
||||
|
||||
@ -27,6 +27,7 @@ import defines
|
||||
from logger import logger
|
||||
from models import (
|
||||
ChatResponse,
|
||||
ExtraChatContext,
|
||||
Tunables,
|
||||
ChatMessageUser,
|
||||
ChatMessage,
|
||||
@ -644,7 +645,7 @@ Content: {content}
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
@ -693,10 +694,6 @@ Content: {content}
|
||||
rag_message = message
|
||||
context = self.get_rag_context(rag_message)
|
||||
|
||||
if extra_context:
|
||||
# Add extra context to the messages if provided
|
||||
context = f"{context}\n\n".join(f"<{key}>\n{value}</{key}>" for key, value in extra_context.items())
|
||||
|
||||
# Add the RAG context to the messages if available
|
||||
if context:
|
||||
messages.append(
|
||||
|
||||
@ -7,7 +7,7 @@ from database.core import RedisDatabase
|
||||
from .base import Agent, agent_registry
|
||||
from logger import logger
|
||||
|
||||
from models import ApiMessage, Tunables, ApiStatusType
|
||||
from models import ApiMessage, ExtraChatContext, Tunables, ApiStatusType
|
||||
|
||||
|
||||
system_message = """
|
||||
@ -41,7 +41,7 @@ class CandidateChat(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
|
||||
@ -19,6 +19,7 @@ from models import (
|
||||
ChatMessageStreaming,
|
||||
ChatMessageUser,
|
||||
ChatOptions,
|
||||
ExtraChatContext,
|
||||
Tunables,
|
||||
ApiStatusType,
|
||||
UsageStats,
|
||||
@ -41,7 +42,7 @@ class EditResume(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.2,
|
||||
):
|
||||
@ -74,16 +75,9 @@ class EditResume(Agent):
|
||||
context = None
|
||||
rag_message: ChatMessageRagSearch | None = None
|
||||
if self.user:
|
||||
logger.info("Generating resume enhanced RAG results")
|
||||
rag_prompt = ""
|
||||
if extra_context:
|
||||
# Add extra context to the messages if provided
|
||||
rag_prompt = f"{context}\n\n".join(f"<{key}>\n{value}</{key}>" for key, value in extra_context.items())
|
||||
rag_prompt += f"\n\nPrompt to respond to:\n{prompt}\n"
|
||||
else:
|
||||
rag_prompt = prompt
|
||||
logger.info("Generating results")
|
||||
message = None
|
||||
async for message in self.generate_rag_results(session_id=session_id, prompt=rag_prompt, top_k=10):
|
||||
async for message in self.generate_rag_results(session_id=session_id, prompt=prompt, top_k=10):
|
||||
if message.status == ApiStatusType.ERROR:
|
||||
yield message
|
||||
return
|
||||
@ -97,16 +91,17 @@ class EditResume(Agent):
|
||||
rag_message = message
|
||||
context = self.get_rag_context(rag_message)
|
||||
|
||||
if extra_context:
|
||||
if extra_context and extra_context.resume:
|
||||
# Add extra context to the messages if provided
|
||||
context = f"{context}\n\n".join(f"<{key}>\n{value}</{key}>" for key, value in extra_context.items())
|
||||
|
||||
context = f"<context>\n{context}\n</context>\n\n<resume>\n{extra_context.resume}</resume>"
|
||||
elif context:
|
||||
context = "<context>\n{context}\n</context>"
|
||||
# Add the RAG context to the messages if available
|
||||
if context:
|
||||
messages.append(
|
||||
LLMMessage(
|
||||
role="user",
|
||||
content=f"<|context|>\nThe following is context information about {self.user.full_name}:\n{context}\n</|context|>\n\nPrompt to respond to:\n{prompt}\n",
|
||||
content=f"{context}\n\nPrompt to respond to:\n{prompt}\n",
|
||||
)
|
||||
)
|
||||
else:
|
||||
@ -197,7 +192,7 @@ class EditResume(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.2,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
@ -209,7 +204,7 @@ class EditResume(Agent):
|
||||
You are a professional copy editor. Your task is to edit and enhance the provided resume content based on the requested edits.
|
||||
|
||||
**CRITICAL: NEVER INVENT OR FABRICATE ANY INFORMATION**
|
||||
- DO NOT create any metrics, percentages, dollar amounts, timeframes, or statistics that are not explicitly stated in the original resume or <|context|>
|
||||
- DO NOT create any metrics, percentages, dollar amounts, timeframes, or statistics that are not explicitly stated in the original resume or <context>
|
||||
- DO NOT add quantitative claims like "increased by X%", "reduced by X hours", "saved $X", "improved by X%" unless these exact figures are provided
|
||||
- DO NOT estimate, approximate, or infer numerical data
|
||||
|
||||
@ -225,7 +220,7 @@ You are a professional copy editor. Your task is to edit and enhance the provide
|
||||
- You are provided the current resume content in the <resume> section
|
||||
- Only make edits that are requested by the user
|
||||
- Do not add any additional information that is not present in the original resume
|
||||
- Only add factual information supported by <|context|> or the <resume> content
|
||||
- Only add factual information supported by <context> or the <resume> content
|
||||
- DO NOT make assumptions about the candidate's experience or skills
|
||||
|
||||
**For impact summaries specifically:**
|
||||
@ -250,7 +245,7 @@ If the user did not ask a question, return the entire resume with the requested
|
||||
database=database,
|
||||
temperature=temperature,
|
||||
tunables=tunables,
|
||||
extra_context=extra_context or {},
|
||||
extra_context=extra_context,
|
||||
):
|
||||
if message.status == ApiStatusType.ERROR:
|
||||
yield message
|
||||
|
||||
@ -21,6 +21,7 @@ from models import (
|
||||
ChatMessageStatus,
|
||||
ChatMessageStreaming,
|
||||
ApiStatusType,
|
||||
ExtraChatContext,
|
||||
Tunables,
|
||||
)
|
||||
from logger import logger
|
||||
@ -47,7 +48,7 @@ class ImageGenerator(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ChatMessage | ChatMessageStatus | ChatMessageError | ChatMessageStreaming, None]:
|
||||
|
||||
@ -28,6 +28,7 @@ from models import (
|
||||
ChatMessageStatus,
|
||||
ChatMessageStreaming,
|
||||
ApiStatusType,
|
||||
ExtraChatContext,
|
||||
Tunables,
|
||||
)
|
||||
from logger import logger
|
||||
@ -311,7 +312,7 @@ class GeneratePersona(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ChatMessage | ChatMessageStatus | ChatMessageError | ChatMessageStreaming, None]:
|
||||
|
||||
@ -22,6 +22,7 @@ from models import (
|
||||
ChatMessageStatus,
|
||||
ChatMessageStreaming,
|
||||
ApiStatusType,
|
||||
ExtraChatContext,
|
||||
Job,
|
||||
JobRequirements,
|
||||
JobRequirementsMessage,
|
||||
@ -163,7 +164,7 @@ Avoid vague categorizations and be precise about whether skills are explicitly r
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
|
||||
@ -6,7 +6,7 @@ from database.core import RedisDatabase
|
||||
from .base import Agent, agent_registry
|
||||
from logger import logger
|
||||
|
||||
from models import ApiMessage, ApiStatusType, ChatMessageError, ChatMessageRagSearch, Tunables
|
||||
from models import ApiMessage, ApiStatusType, ChatMessageError, ChatMessageRagSearch, ExtraChatContext, Tunables
|
||||
|
||||
|
||||
class RagSearchChat(Agent):
|
||||
@ -24,7 +24,7 @@ class RagSearchChat(Agent):
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
|
||||
291
src/backend/agents/resume_chat.py
Normal file
291
src/backend/agents/resume_chat.py
Normal file
@ -0,0 +1,291 @@
|
||||
from __future__ import annotations
|
||||
import time
|
||||
from typing import List, Literal, AsyncGenerator, ClassVar, Optional, Any
|
||||
|
||||
|
||||
from database.core import RedisDatabase
|
||||
|
||||
from .base import Agent, agent_registry
|
||||
from logger import logger
|
||||
|
||||
from models import (
|
||||
ApiActivityType,
|
||||
ApiMessage,
|
||||
Candidate,
|
||||
ChatMessage,
|
||||
ChatMessageError,
|
||||
ChatMessageMetaData,
|
||||
ChatMessageRagSearch,
|
||||
ChatMessageStatus,
|
||||
ChatMessageStreaming,
|
||||
ChatMessageUser,
|
||||
ChatOptions,
|
||||
ExtraChatContext,
|
||||
Job,
|
||||
Resume,
|
||||
Tunables,
|
||||
ApiStatusType,
|
||||
UsageStats,
|
||||
LLMMessage,
|
||||
)
|
||||
|
||||
|
||||
class ResumeChat(Agent):
|
||||
"""
|
||||
ResumeChat Agent
|
||||
"""
|
||||
|
||||
agent_type: Literal["resume_chat"] = "resume_chat" # type: ignore
|
||||
_agent_type: ClassVar[str] = agent_type # Add this for registration
|
||||
|
||||
async def resume_chat(
|
||||
self,
|
||||
llm: Any,
|
||||
model: str,
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.2,
|
||||
):
|
||||
if not self.user:
|
||||
error_message = ChatMessageError(session_id=session_id, content="No user set for chat generation.")
|
||||
yield error_message
|
||||
return
|
||||
|
||||
if not extra_context or not extra_context.job_id or not extra_context.candidate_id or not extra_context.resume_id:
|
||||
error_message = ChatMessageError(
|
||||
session_id=session_id,
|
||||
content="Missing required extra context: job_id, candidate_id, or resume_id.",
|
||||
)
|
||||
yield error_message
|
||||
return
|
||||
|
||||
logger.info(f"Generating resume_chat response to: {prompt} with context: {extra_context.model_dump(exclude_none=True)}")
|
||||
|
||||
job_data = await database.get_job(extra_context.job_id)
|
||||
job = Job.model_validate(job_data) if job_data else None
|
||||
if not job:
|
||||
error_message = ChatMessageError(
|
||||
session_id=session_id, content=f"Job with ID {extra_context.job_id} not found."
|
||||
)
|
||||
yield error_message
|
||||
return
|
||||
candidate_data = await database.get_candidate(extra_context.candidate_id)
|
||||
candidate = Candidate.model_validate(candidate_data) if candidate_data else None
|
||||
if not candidate:
|
||||
error_message = ChatMessageError(
|
||||
session_id=session_id, content=f"Candidate with ID {extra_context.candidate_id} not found."
|
||||
)
|
||||
yield error_message
|
||||
return
|
||||
resume_data = await database.get_resume(user_id=candidate.id, resume_id=extra_context.resume_id)
|
||||
resume = Resume.model_validate(resume_data) if resume_data else None
|
||||
if not resume:
|
||||
error_message = ChatMessageError(
|
||||
session_id=session_id, content=f"Resume with ID {extra_context.resume_id} not found."
|
||||
)
|
||||
yield error_message
|
||||
return
|
||||
|
||||
user_message = ChatMessageUser(
|
||||
session_id=session_id,
|
||||
content=prompt,
|
||||
)
|
||||
|
||||
await database.add_chat_message(session_id, user_message.model_dump())
|
||||
logger.info(f"💬 User message saved to database for session {session_id}")
|
||||
|
||||
# Create a pruned down message list based purely on the prompt and responses,
|
||||
# discarding the full preamble generated by prepare_message
|
||||
messages: List[LLMMessage] = [LLMMessage(role="system", content=self.system_prompt)]
|
||||
# Add the conversation history to the messages
|
||||
messages.extend(
|
||||
[
|
||||
LLMMessage(role=m["role"], content=m["content"])
|
||||
for m in await database.get_recent_chat_messages(session_id=session_id)
|
||||
]
|
||||
)
|
||||
|
||||
self.user.metrics.generate_count.labels(agent=self.agent_type).inc()
|
||||
with self.user.metrics.generate_duration.labels(agent=self.agent_type).time():
|
||||
rag_context = None
|
||||
rag_message: ChatMessageRagSearch | None = None
|
||||
if self.user:
|
||||
logger.info("Generating RAG results")
|
||||
rag_prompt = prompt
|
||||
message = None
|
||||
async for message in self.generate_rag_results(session_id=session_id, prompt=rag_prompt, top_k=10):
|
||||
if message.status == ApiStatusType.ERROR:
|
||||
yield message
|
||||
return
|
||||
# Only yield messages that are in a streaming state
|
||||
if message.status == ApiStatusType.STATUS:
|
||||
yield message
|
||||
|
||||
if not isinstance(message, ChatMessageRagSearch):
|
||||
raise ValueError(f"Expected ChatMessageRagSearch, got {type(rag_message)}")
|
||||
|
||||
rag_message = message
|
||||
rag_context = self.get_rag_context(rag_message)
|
||||
|
||||
context = f"""
|
||||
<job>
|
||||
The following is the job description for the position {job.title} at {job.company}:
|
||||
{job.description}
|
||||
</job>
|
||||
|
||||
<resume>
|
||||
The following is the resume of {candidate.full_name}:
|
||||
{resume.resume}
|
||||
</resume>
|
||||
|
||||
<candidate>
|
||||
{candidate.model_dump(include={"first_name", "last_name", "full_name", "email", "location"}, exclude_none=True)}
|
||||
</candidate>
|
||||
"""
|
||||
if rag_context:
|
||||
context = f"""
|
||||
<context>
|
||||
The following is context information about {candidate.full_name} based on the prompt:
|
||||
{rag_context}
|
||||
</context>
|
||||
|
||||
{context}
|
||||
"""
|
||||
|
||||
messages.append(
|
||||
LLMMessage(
|
||||
role="user",
|
||||
content=f"{context}\n\nPrompt to respond to:\n{prompt}\n",
|
||||
)
|
||||
)
|
||||
|
||||
# not use_tools
|
||||
status_message = ChatMessageStatus(
|
||||
session_id=session_id, activity=ApiActivityType.GENERATING, content="Generating response..."
|
||||
)
|
||||
yield status_message
|
||||
|
||||
# Set the response for streaming
|
||||
self.set_optimal_context_size(llm, model, prompt=prompt)
|
||||
|
||||
options = ChatOptions(
|
||||
seed=8911,
|
||||
num_ctx=self.context_size,
|
||||
temperature=temperature,
|
||||
)
|
||||
logger.info(f"Message options: {options.model_dump(exclude_unset=True)} with {len(messages)} messages")
|
||||
content = ""
|
||||
start_time = time.perf_counter()
|
||||
response = None
|
||||
async for response in llm.chat_stream(
|
||||
model=model,
|
||||
messages=messages,
|
||||
options={
|
||||
**options.model_dump(exclude_unset=True),
|
||||
},
|
||||
stream=True,
|
||||
):
|
||||
if not response:
|
||||
error_message = ChatMessageError(session_id=session_id, content="No response from LLM.")
|
||||
yield error_message
|
||||
return
|
||||
|
||||
content += response.content
|
||||
|
||||
if not response.finish_reason:
|
||||
streaming_message = ChatMessageStreaming(
|
||||
session_id=session_id,
|
||||
content=response.content,
|
||||
)
|
||||
yield streaming_message
|
||||
|
||||
if not response:
|
||||
error_message = ChatMessageError(session_id=session_id, content="No response from LLM.")
|
||||
yield error_message
|
||||
return
|
||||
|
||||
self.user.collect_metrics(agent=self, response=response)
|
||||
end_time = time.perf_counter()
|
||||
|
||||
chat_message = ChatMessage(
|
||||
session_id=session_id,
|
||||
tunables=tunables,
|
||||
status=ApiStatusType.DONE,
|
||||
content=content,
|
||||
metadata=ChatMessageMetaData(
|
||||
options=options,
|
||||
usage=UsageStats(
|
||||
eval_count=response.usage.eval_count,
|
||||
eval_duration=response.usage.eval_duration,
|
||||
prompt_eval_count=response.usage.prompt_eval_count,
|
||||
prompt_eval_duration=response.usage.prompt_eval_duration,
|
||||
),
|
||||
rag_results=rag_message.content if rag_message else [],
|
||||
llm_history=messages,
|
||||
timers={
|
||||
"llm_streamed": end_time - start_time,
|
||||
"llm_with_tools": 0, # Placeholder for tool processing time
|
||||
},
|
||||
),
|
||||
)
|
||||
|
||||
await database.add_chat_message(session_id, chat_message.model_dump())
|
||||
logger.info(f"🤖 Assistent response saved to database for session {session_id}")
|
||||
|
||||
# Add the user and chat messages to the conversation
|
||||
yield chat_message
|
||||
return
|
||||
|
||||
async def generate(
|
||||
self,
|
||||
llm: Any,
|
||||
model: str,
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.2,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
user = self.user
|
||||
if not user:
|
||||
logger.error("User is not set for Edit Resume agent.")
|
||||
raise ValueError("User must be set before generating candidate chat responses.")
|
||||
self.system_prompt = """
|
||||
You are a professional staffing agent. Your task is to answer questions about a candidate based on their <resume> and <context>.
|
||||
|
||||
**CRITICAL: NEVER INVENT OR FABRICATE ANY INFORMATION**
|
||||
- DO NOT create any metrics, percentages, dollar amounts, timeframes, or statistics that are not explicitly stated in the <resume> or <context>
|
||||
- DO NOT add quantitative claims like "increased by X%", "reduced by X hours", "saved $X", "improved by X%" unless these exact figures are provided
|
||||
- DO NOT estimate, approximate, or infer numerical data
|
||||
|
||||
**Guidelines:**
|
||||
- You are provided the current resume about the candidate in the <resume> section
|
||||
- You are provided additional context about the question in the <context> section
|
||||
- You are provided the candidate's name and other details in the <candidate> section
|
||||
- You are provided the job description in the <job> section
|
||||
|
||||
- You must use the provided information to answer questions about the candidate's skills, experience, and qualifications in relation to the job description.
|
||||
"""
|
||||
|
||||
async for message in self.resume_chat(
|
||||
llm=llm,
|
||||
model=model,
|
||||
session_id=session_id,
|
||||
prompt=prompt,
|
||||
database=database,
|
||||
temperature=temperature,
|
||||
tunables=tunables,
|
||||
extra_context=extra_context,
|
||||
):
|
||||
if message.status == ApiStatusType.ERROR:
|
||||
yield message
|
||||
return
|
||||
yield message
|
||||
|
||||
|
||||
# Register the base agent
|
||||
agent_registry.register(ResumeChat._agent_type, ResumeChat)
|
||||
@ -22,6 +22,7 @@ from models import (
|
||||
ApiStatusType,
|
||||
ChatMessageStatus,
|
||||
EvidenceDetail,
|
||||
ExtraChatContext,
|
||||
SkillAssessment,
|
||||
Tunables,
|
||||
)
|
||||
@ -116,7 +117,7 @@ JSON RESPONSE:"""
|
||||
session_id: str,
|
||||
prompt: str,
|
||||
database: RedisDatabase,
|
||||
extra_context: Optional[dict[str, str | int | float | bool]] = None,
|
||||
extra_context: Optional[ExtraChatContext] = None,
|
||||
tunables: Optional[Tunables] = None,
|
||||
temperature=0.7,
|
||||
) -> AsyncGenerator[ApiMessage, None]:
|
||||
|
||||
@ -1169,13 +1169,22 @@ class SkillMatchRequest(BaseModel):
|
||||
skill: str
|
||||
regenerate: bool = Field(default=False, description="Whether to regenerate the skill match even if cached")
|
||||
|
||||
class ExtraChatContext(BaseModel):
|
||||
"""Extra context for chat messages"""
|
||||
|
||||
job_id: Optional[str] = Field(default=None, alias=str("jobId"))
|
||||
candidate_id: Optional[str] = Field(default=None, alias=str("candidateId"))
|
||||
resume_id: Optional[str] = Field(default=None, alias=str("resumeId"))
|
||||
resume: Optional[str] = Field(default=None)
|
||||
is_answer: Optional[bool] = Field(default=None, alias=str("isAnswer"))
|
||||
model_config = ConfigDict(populate_by_name=True)
|
||||
|
||||
class ChatMessageUser(ApiMessage):
|
||||
type: ApiMessageType = ApiMessageType.TEXT
|
||||
status: ApiStatusType = ApiStatusType.DONE
|
||||
role: ChatSenderType = ChatSenderType.USER
|
||||
content: str = ""
|
||||
extra_context: Optional[Dict[str, str | int | float | bool]] = Field(default=None, alias=str("extraContext"))
|
||||
extra_context: Optional[ExtraChatContext] = Field(default=None, alias=str("extraContext"))
|
||||
tunables: Optional[Tunables] = None
|
||||
|
||||
|
||||
|
||||
@ -87,7 +87,7 @@ async def stream_agent_response(
|
||||
):
|
||||
if generated_message.status == ApiStatusType.ERROR:
|
||||
logger.error(f"❌ AI generation error: {generated_message.content}")
|
||||
yield f"data: {json.dumps({'status': 'error'})}\n\n"
|
||||
yield f"data: {json.dumps({'status': 'error', 'error': generated_message.content})}\n\n"
|
||||
return
|
||||
|
||||
# Store reference to the complete AI message
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user